CN113390766B

CN113390766B - Tail gas emission detection method, device and equipment and storage medium

Info

Publication number: CN113390766B
Application number: CN202010171573.6A
Authority: CN
Inventors: 俞健男; 涂喻; 马林
Original assignee: Hangzhou Hikvision Digital Technology Co Ltd
Current assignee: Hangzhou Hikvision Digital Technology Co Ltd
Priority date: 2020-03-12
Filing date: 2020-03-12
Publication date: 2023-07-25
Anticipated expiration: 2040-03-12
Also published as: CN113390766A

Abstract

The invention provides a tail gas emission detection method, a device, equipment and a storage medium, wherein the method is applied to electronic equipment and comprises the following steps: acquiring first snapshot data corresponding to a camera connected with the device, wherein the first snapshot data at least comprises: vehicle attribute information corresponding to at least one vehicle identified from a vehicle image captured by the camera, and an air quality parameter associated with the vehicle image; detecting whether the air quality parameter in the first snapshot data meets the preset tail gas emission exceeding condition; and if so, determining the vehicle with the exceeding exhaust emission from the at least one vehicle according to the vehicle attribute information in the first snapshot data. The vehicle with the out-of-standard exhaust emission can be determined so as to effectively treat the vehicle with the out-of-standard exhaust emission.

Description

Tail gas emission detection method, device and equipment and storage medium

Technical Field

The invention relates to the technical field of intelligent transportation, in particular to a tail gas emission detection method, a tail gas emission detection device, tail gas emission detection equipment and a storage medium.

Background

The tail gas of car is the waste gas produced when car is used, contains hundreds of different compounds, and the pollutants in the tail gas include solid suspended particles, carbon monoxide, carbon dioxide, hydrocarbon, oxynitride, lead and sulfur oxide, etc. The tail gas directly damages human health and can also have profound influence on the living environment of human beings.

Therefore, it is very necessary to monitor the vehicles which discharge the exhaust gas so as to effectively treat the vehicles with the exceeding exhaust gas emission standard. However, there is currently no way in which vehicles with emissions exceeding the standard can be determined.

Disclosure of Invention

In view of the above, the invention provides a method, a device, equipment and a storage medium for detecting exhaust emission, which can determine an exhaust emission exceeding vehicle so as to effectively treat the exhaust emission exceeding vehicle.

The first aspect of the present invention provides a method for detecting exhaust emissions, which is applied to electronic equipment, and the method includes:

acquiring first snapshot data corresponding to a camera connected with the device, wherein the first snapshot data at least comprises: vehicle attribute information corresponding to at least one vehicle identified from a vehicle image captured by the camera, and an air quality parameter associated with the vehicle image;

detecting whether the air quality parameter in the first snapshot data meets the preset tail gas emission exceeding condition;

and if so, determining the vehicle with the exceeding exhaust emission from the at least one vehicle according to the vehicle attribute information in the first snapshot data.

In accordance with one embodiment of the present invention,

the first snapshot data further includes: the vehicle image;

And determining the vehicle with the exceeding exhaust emission from the at least one vehicle according to the vehicle attribute information in the first snapshot data, including:

carrying out tail gas recognition on the vehicle image according to a preset tail gas recognition algorithm;

and when the tail gas is identified, determining the vehicle with the out-of-standard tail gas emission from the at least one vehicle according to the identified tail gas position information and the vehicle attribute information.

In accordance with one embodiment of the present invention,

the vehicle attribute information includes at least: position information of the corresponding vehicle in the vehicle image;

determining a vehicle with excessive exhaust emission from the at least one vehicle according to the identified exhaust position information and the vehicle attribute information, including:

determining target position information with the largest intersection with the tail gas position information from position information contained in the vehicle attribute information in the first snapshot data;

and determining the vehicle corresponding to the vehicle attribute information containing the target position information as the vehicle with the out-of-limit exhaust emission.

According to an embodiment of the present invention, before determining the vehicle corresponding to the vehicle attribute information including the target position information as the off-gas emission exceeding vehicle, the method further includes:

Checking whether first violation information exists in locally recorded violation information or not, wherein the first violation information is used for indicating that a vehicle corresponding to vehicle attribute information containing the target position information is detected to have out-of-limit exhaust emission;

if not, continuing to execute the operation of determining the vehicle corresponding to the vehicle attribute information containing the target position information as the vehicle with the out-of-limit exhaust emission.

According to an embodiment of the present invention, the determining, according to the vehicle attribute information in the first snapshot data, the vehicle with the emissions exceeding the standard from the at least one vehicle includes:

and determining the vehicle corresponding to the vehicle attribute information as the vehicle with the out-of-standard exhaust emission aiming at each vehicle attribute information in the first snapshot data.

According to one embodiment of the present invention, before determining the vehicle corresponding to the vehicle attribute information as the vehicle with emissions exceeding the standard, the method further includes:

checking whether second violation information exists in locally recorded violation information or not, wherein the second violation information is used for indicating that the vehicle corresponding to the vehicle attribute information is detected to have out-of-limit exhaust emission;

if not, continuing to execute the operation of determining the vehicle corresponding to the vehicle attribute information as the vehicle with the out-of-limit exhaust emission.

According to one embodiment of the invention, the cameras are any cameras that have been grouped, and each camera group includes a plurality of cameras therein;

and determining a vehicle with the exceeding tail gas emission standard from the at least one vehicle according to the vehicle attribute information in the first snapshot data and the cached second snapshot data, wherein the second snapshot data is snapshot data corresponding to other cameras in a camera group where the camera is located.

According to one embodiment of the present invention, determining, from the at least one vehicle, a vehicle with emissions exceeding the standard according to the vehicle attribute information in the first snapshot data and the cached second snapshot data, includes:

and aiming at each vehicle attribute information in the first snapshot data, searching target snapshot data containing the vehicle attribute information from the second snapshot data, and determining that the vehicle corresponding to the vehicle attribute information is the vehicle with the out-of-standard exhaust emission when the air quality parameter in any one of the searched target snapshot data meets the out-of-standard condition of the preset exhaust emission.

According to one embodiment of the present invention, before the target snapshot data including the attribute information of the vehicle is found from the second snapshot data, the method further includes:

checking whether third violation information exists in locally recorded violation information, wherein the third violation information is used for indicating that the vehicle corresponding to the vehicle attribute information is detected to have out-of-limit exhaust emission;

if not, continuing to execute the operation of searching the target snapshot data containing the vehicle attribute information from the second snapshot data.

The second aspect of the present invention provides an exhaust emission detection method, applied to a camera, comprising:

identifying vehicle attribute information corresponding to at least one vehicle from the snap-shot vehicle image;

acquiring a target air quality parameter related to the vehicle image;

and sending first snapshot data containing the vehicle attribute information and the target air quality parameter to connected electronic equipment, so that the electronic equipment acquires the first snapshot data and detects whether the air quality parameter in the first snapshot data meets the preset tail gas emission standard exceeding condition, and if so, determining a tail gas emission standard exceeding vehicle from at least one vehicle according to the vehicle attribute information in the first snapshot data.

According to one embodiment of the invention, the method further comprises: periodically acquiring air quality parameters from the connected air quality sensors, and storing the acquired air quality parameters;

acquiring a target air quality parameter associated with the vehicle image, comprising:

when the vehicle image is captured, sending a request message of an air quality parameter to the air quality sensor;

if the air quality parameter transmitted back by the air quality sensor is received, determining the received air quality parameter as the target air quality parameter;

if the air quality parameter transmitted back by the air quality sensor is not received within the set time, acquiring the latest stored air quality parameter from the stored air quality parameters, and determining the acquired air quality parameter as the target air quality parameter.

A third aspect of the present invention provides an exhaust emission detection device, applied to an electronic apparatus, including:

the first snapshot data acquisition module is used for acquiring first snapshot data corresponding to a camera connected with the equipment, and the first snapshot data at least comprises: vehicle attribute information corresponding to at least one vehicle identified from a vehicle image captured by the camera, and an air quality parameter associated with the vehicle image;

The tail gas emission exceeding detection module is used for detecting whether the air quality parameter in the first snapshot data meets the preset tail gas emission exceeding condition;

and the tail gas emission exceeding vehicle determining module is used for determining the tail gas emission exceeding vehicle from the at least one vehicle according to the vehicle attribute information in the first snapshot data if the tail gas emission exceeding vehicle is detected.

In accordance with one embodiment of the present invention,

the first snapshot data further includes: the vehicle image;

the vehicle determining module is specifically configured to, when determining that the exhaust emission exceeds the standard from the at least one vehicle according to the vehicle attribute information in the first snapshot data:

In accordance with one embodiment of the present invention,

the tail gas emission standard exceeding vehicle determining module is specifically configured to, when determining that the tail gas emission standard exceeding vehicle from the at least one vehicle according to the identified tail gas position information and the vehicle attribute information:

According to an embodiment of the present invention, before the vehicle corresponding to the vehicle attribute information including the target position information is determined as the vehicle with the emissions exceeding, the emissions exceeding vehicle determining module is further configured to:

According to an embodiment of the present invention, when the vehicle determining module determines that the exhaust emission exceeds the standard from the at least one vehicle according to the vehicle attribute information in the first snapshot data, the vehicle determining module is specifically configured to:

According to an embodiment of the present invention, before the vehicle corresponding to the vehicle attribute information is determined as the vehicle with the emissions exceeding the standard by the emissions exceeding vehicle determining module, the emissions exceeding vehicle determining module is further configured to:

In accordance with one embodiment of the present invention,

the cameras are any cameras which are grouped, and each camera group comprises a plurality of cameras;

According to an embodiment of the present invention, the exhaust emission standard exceeding vehicle determining module is specifically configured to, when determining an exhaust emission standard exceeding vehicle from the at least one vehicle according to the vehicle attribute information in the first snapshot data and the cached second snapshot data:

According to an embodiment of the present invention, before the exhaust emission exceeding vehicle determining module searches the second snapshot data for target snapshot data including the attribute information of the vehicle, the determining module is further configured to:

A fourth aspect of the present invention provides an exhaust emission detection device, for use in a camera, the device comprising:

the vehicle attribute information identification module is used for identifying vehicle attribute information corresponding to at least one vehicle from the captured vehicle image;

a target air quality parameter acquisition module for acquiring a target air quality parameter related to the vehicle image;

and the snapshot data transmitting module is used for transmitting first snapshot data containing the vehicle attribute information and the target air quality parameter to the connected electronic equipment so that the electronic equipment can acquire the first snapshot data and detect whether the air quality parameter in the first snapshot data meets the preset tail gas emission standard exceeding condition, and if so, the tail gas emission standard exceeding vehicle is determined from the at least one vehicle according to the vehicle attribute information in the first snapshot data.

According to one embodiment of the invention, the apparatus further comprises: the air quality parameter storage module is used for periodically acquiring air quality parameters from the connected air quality sensors and storing the acquired air quality parameters;

the target air quality parameter acquiring module is specifically configured to, when acquiring a target air quality parameter related to the vehicle image:

A fifth aspect of the present invention provides an electronic device, including a processor and a memory; the memory stores a program that can be called by the processor; when the processor executes the program, the exhaust emission detection method according to the foregoing embodiment is implemented.

A sixth aspect of the present invention provides a machine-readable storage medium having stored thereon a program which, when executed by a processor, implements an exhaust emission detection method as described in the foregoing embodiments.

The embodiment of the invention has the following beneficial effects:

in the embodiment of the invention, the electronic equipment can acquire the first snapshot data comprising the vehicle attribute information corresponding to at least one vehicle identified in the vehicle image which is snapshot by the camera and the air quality parameter related to the vehicle image, and can determine the vehicle with the excessive exhaust emission from the at least one vehicle according to the vehicle attribute information in the first snapshot data when the air quality parameter meets the preset excessive exhaust emission condition, thereby realizing the monitoring of the vehicle with the excessive exhaust emission and further effectively treating the vehicle with the excessive exhaust emission.

Drawings

FIG. 1 is a schematic flow chart of an exhaust emission detection method according to an embodiment of the invention;

FIG. 2 is a schematic diagram of a camera distribution on a road according to an embodiment of the invention;

FIG. 3 is a schematic diagram illustrating the connection of an exhaust emission detection system according to an embodiment of the present invention;

FIG. 4 is a block diagram illustrating an exhaust emission detection device according to an embodiment of the present invention;

fig. 5 is a schematic flow chart of an exhaust emission detection method according to another embodiment of the invention;

fig. 6 is a block diagram showing the structure of an exhaust emission detection device according to another embodiment of the present invention;

fig. 7 is a block diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with aspects of the invention as detailed in the accompanying claims.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.

It should be understood that although the terms first, second, third, etc. may be used herein to describe various devices, these information should not be limited by these terms. These terms are only used to distinguish one device from another of the same type. For example, a first device could also be termed a second device, and, similarly, a second device could also be termed a first device, without departing from the scope of the present invention. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "responsive to a determination", depending on the context.

In order to make the description of the present invention clearer and more concise, some technical terms of the present invention are explained below:

PM2.5: particulate matter having an aerodynamic equivalent diameter of 2.5 microns or less in ambient air. It can be suspended in air for a longer time, and the higher the content concentration of the suspension in the air is, the more serious the air pollution is.

PM10: inhalable particles, typically particles having a particle size of less than 10 microns, last in ambient air for a long period of time and have a significant impact on human health and atmospheric visibility.

The method for detecting exhaust emissions provided in the first aspect of the present invention is specifically described below, but is not limited thereto.

In one embodiment, referring to fig. 1, the exhaust emission detection method of the second aspect of the present invention may include the steps of:

s100: acquiring first snapshot data corresponding to a camera connected with the device, wherein the first snapshot data at least comprises: vehicle attribute information corresponding to at least one vehicle identified from a vehicle image captured by the camera, and an air quality parameter associated with the vehicle image;

s200: detecting whether the air quality parameter in the first snapshot data meets the preset tail gas emission exceeding condition;

s300: and if so, determining the vehicle with the exceeding exhaust emission from the at least one vehicle according to the vehicle attribute information in the first snapshot data.

In an example, the exhaust emission detection method described above may be applied to an electronic device, which may be a computer device or an embedded device, and the specific device type is not limited as long as it has a certain data processing capability.

The electronic device may be connected to one or more cameras, the specific number may be according to actual needs. Under the condition that the electronic equipment is connected with one camera, the camera can interact with the electronic equipment when capturing the vehicle image, so as to realize the exhaust emission detection method. Under the condition that the electronic equipment is connected with a plurality of cameras, any camera can interact with the electronic equipment when capturing the vehicle image, so that the exhaust emission detection method is realized.

In the case where the electronic device is connected to a plurality of cameras, the cameras may be grouped in advance, and at least one camera may be included in each camera group. Preferably, each camera group may include a plurality of cameras, and any one camera in the same camera group and at least one other camera in the camera group are located in the same road section or adjacent road sections, so that when a vehicle passes through a certain road section or several continuous road sections, at least two cameras in the same camera group can capture images.

Referring to fig. 2 and 3, 301, 302, 303 are 3 consecutive road segments on the road, the cameras 401, 402 are located at different positions on the same road segment 301, the camera 403 is located on the road segment 302 and is located on an adjacent road segment to the cameras 401, 402, the cameras 404 and 405 are located at different positions on the same road segment 303, wherein the cameras 401-403 are divided into a group, the cameras 404 and 405 are divided into a group (only 5 are shown in the figure, and the cameras 401-405 are all connected with the electronic device 500, and can interact with the electronic device 500 when any camera captures a vehicle image to realize the above exhaust emission detection method.

The camera can adopt 300W or 900W bayonet equipment, can erect on the support of roadside or erect on the portal frame of road, erect the high assurance can take a candid photograph the vehicle on the road can, for example erect the high 5m etc.. Of course, the above camera types and mounting manners are merely examples, and are not limiting.

Each camera may be connected to an air quality sensor and cameras at different locations may be connected to different air quality sensors. Preferably, the air quality sensor connected to each camera is located at the same position or in the same set range as the camera, so that when the camera captures an image of the vehicle, the air quality of the environment in which the camera is located, that is, the air quality of the environment in which the vehicle is located, can be determined.

The air quality sensor may measure the concentration of particulate matter in the air and transmit the measured air quality parameter to the connected camera. The air quality parameter may include, for example, PM2.5 concentration, PM10 concentration, etc., and is not particularly limited thereto.

The type of air quality sensor is not limited, for example, the air quality sensor may be an industrial grade general purpose particulate matter concentration transmitter. The industrial grade general particle concentration transmitter can measure the number of particle particles in the air by adopting a laser scattering measurement principle, screens the particle particles by a data double-frequency acquisition technology, finally measures the number of particle particles with equivalent particle diameter in unit volume, calculates the mass concentration of the particle particles with equivalent particle diameter in unit volume according to the number of the particle particles, and the specific measurement mode can refer to the measurement technology related to the industrial grade general particle concentration transmitter and is not repeated here.

Particulate matter as used herein may include PM2.5, PM10, etc., and the air quality parameter output by the industrial grade general particulate matter concentration transmitter may include PM2.5 concentration and PM10 concentration. The camera can be connected with the industrial grade general particulate matter concentration transmitter through the RS485 interface to acquire PM2.5 concentration and PM10 concentration output by the industrial grade general particulate matter concentration transmitter.

In step S100 shown in fig. 1, first snapshot data corresponding to a camera connected to the device is obtained, where the first snapshot data includes at least: at least one vehicle attribute information corresponding to a vehicle identified from a vehicle image captured by the camera, and an air quality parameter associated with the vehicle image.

The first snapshot data may be sent by a camera that captures an image of the vehicle. The camera may identify at least vehicle attribute information corresponding to the vehicle from the captured vehicle image, and may acquire an air quality parameter from the air quality sensor as an air quality parameter related to the vehicle image (may be an air quality parameter acquired in real time after capturing the vehicle image, or may be a latest air quality parameter acquired from the air quality sensor before capturing the vehicle image, specifically, but not limited thereto), and transmit first captured data including the identified vehicle attribute information and the acquired air quality parameter to the electronic device.

Of course, the method of acquiring the first snapshot data is not limited thereto, and for example, may be: the electronic equipment receives a vehicle image sent by a camera and air quality parameters related to the vehicle image, and identifies vehicle attribute information corresponding to at least one vehicle from the received vehicle image, so that first snapshot data containing the vehicle attribute information and the air quality parameters is obtained. In other words, the identification process of the vehicle image is not limited to being performed by the camera, but may be performed by the electronic device.

The vehicle attribute information may include: one or more of the license plate number, brand, size, color, position information, and the like of the vehicle are not particularly limited as long as they can be recognized from the vehicle image and can be used to characterize the vehicle.

The first snapshot data may contain other data besides vehicle attribute information and air quality parameters, such as vehicle images, etc. Alternatively, the first snapshot data may be a data packet sent from a camera, wherein the vehicle image is a data portion in the data packet, and the vehicle attribute information and the air quality parameter are carried in a header of the data packet (as metadata for describing the vehicle image), which is of course not limited in particular.

After the electronic device obtains the first snapshot data, the first snapshot data may be cached. Optionally, snapshot data corresponding to cameras in different camera sets can be cached in different cache spaces, so that required snapshot data can be found out quickly in the follow-up process.

In step S200 shown in fig. 1, it is detected whether the air quality parameter in the first snapshot data meets a preset exhaust emission exceeding condition.

The air quality parameter in the first snapshot data can reflect the air quality of the vehicle in the vehicle image when the vehicle passes through the range of the camera, and the exhaust emission of the vehicle can seriously influence the air quality, so the air quality parameter can reflect the exhaust emission condition of the vehicle. Therefore, whether the air quality parameter in the first snapshot data meets the preset exhaust emission standard exceeding condition can be detected to determine whether the exhaust emission standard exceeding phenomenon exists.

Since a large amount of solid suspended particles including PM2.5 and PM10 exist in the automobile exhaust, whether the air quality parameter in the first snapshot data meets the preset exhaust emission exceeding condition can be determined according to the concentration of the two types of particles.

Specifically, the air quality parameter may include a PM2.5 concentration and a PM10 concentration, and detecting whether the air quality parameter in the first snapshot data meets a preset exhaust emission exceeding condition may include:

Checking whether the PM2.5 concentration in the first snapshot data is greater than a first set concentration;

if so, if the PM10 concentration in the first snapshot data is greater than the second set concentration, the air quality parameter in the first snapshot data meets the preset tail gas emission exceeding condition.

In other words, if the PM2.5 concentration in the first snapshot data is greater than the first set concentration and the PM10 concentration is greater than the second set concentration, the air quality parameter in the first snapshot data satisfies the preset exhaust emission oversubstance condition. Otherwise, the air quality parameter in the first snapshot data does not meet the preset tail gas emission exceeding condition.

The first set concentration and the second set concentration may take values according to practical situations, for example, the first set concentration is 100, and the second set concentration is 200, which is not particularly limited.

In step S300 shown in fig. 1, if yes, a vehicle with emissions exceeding the standard is determined from the at least one vehicle according to the vehicle attribute information in the first snapshot data.

Optionally, when the number of the vehicle attribute information in the first snapshot data is one (i.e. the vehicle image only includes one vehicle), the vehicle can be directly determined to be the vehicle with the out-of-standard exhaust emission; when the number of the vehicle attribute information in the first snapshot data is more than two (i.e. the vehicle image contains a plurality of vehicles), the vehicles with the out-of-standard exhaust emission can be determined from the vehicles according to the snapshot image.

Of course, the above-mentioned method is only an alternative method for determining the vehicle with the out-of-limit exhaust emission, and should not be taken as a limitation, and other methods for determining the vehicle with the out-of-limit exhaust emission are also applicable. For example, the vehicles corresponding to the vehicle attribute information in the first snapshot data may be determined as vehicles with emissions exceeding the standard.

In one embodiment, referring to fig. 4, steps S100-S300 of the above method may be performed by the exhaust emission detection device 100. The exhaust emission detection device 100 comprises a first snapshot data acquisition module 101, an exhaust emission exceeding detection module 102 and an exhaust emission exceeding vehicle determination module 103. The first snapshot data obtaining module 101 is configured to execute step S100, the exhaust emission standard exceeding detection module 102 is configured to execute step S200, and the exhaust emission standard exceeding vehicle determining module 103 is configured to execute step S300.

And if the air quality parameter in the first snapshot data meets the preset tail gas emission exceeding condition, indicating that the tail gas emission exceeding condition occurs. In some cases, however, there may be multiple vehicles within the vehicle image, but there may be vehicles in these vehicles that do not exhaust. Thus, in order to avoid erroneous judgment, it is possible to further determine which vehicle exhaust emission exceeds the standard, and several examples of determining an exhaust emission exceeding vehicle are provided below.

In one embodiment, the first snapshot data further includes: the vehicle image;

in step S300, the determining, according to the vehicle attribute information in the first snapshot data, the vehicle with the emissions exceeding the standard from the at least one vehicle may include the following steps:

s301: carrying out tail gas recognition on the vehicle image according to a preset tail gas recognition algorithm;

s302: and when the tail gas is identified, determining the vehicle with the out-of-standard tail gas emission from the at least one vehicle according to the identified tail gas position information and the vehicle attribute information.

The tail gas recognition algorithm may be implemented by using a neural network, for example, and when tail gas recognition is performed on the vehicle image according to a preset tail gas recognition algorithm, the vehicle image may be input into the trained neural network, so that tail gas recognition (for example, recognition of tail gas features or smoke features) is performed on the vehicle image by using the neural network. Of course, the exhaust gas recognition algorithm is not particularly limited thereto, and other image processing methods may be used to perform exhaust gas recognition on the vehicle image.

The identified tail gas position information may be position information (such as vertex coordinates, length and width of the region, etc.) of the region where the tail gas is located in the vehicle image, or may be center position coordinates of the region where the tail gas is located, which is not particularly limited thereto. The vehicle attribute information may include position information of the corresponding vehicle in the vehicle image, and the position information may be position information of an area where the vehicle is located or a center position coordinate of the area where the vehicle is located.

On the basis of determining the tail gas position information and the vehicle attribute information, a vehicle with the out-of-standard tail gas emission can be determined from the at least one vehicle according to the recognized tail gas position information and the vehicle attribute information. For example, if the tail gas position information is the central position coordinate of the area where the tail gas is located, the vehicle position information is the central position coordinate of the area where the vehicle is located, and when the tail gas emission exceeding vehicle is determined from the at least one vehicle according to the identified tail gas position information and the vehicle attribute information, the vehicle corresponding to the vehicle position information closest to the tail gas position information may be determined as the tail gas emission exceeding vehicle. Of course, this is not intended to be limiting.

In this embodiment, whether the vehicle image includes one vehicle or a plurality of vehicles, the vehicle with the emissions exceeding the standard can be automatically determined therefrom, and the result is accurate and the confirmation efficiency is high.

In one embodiment, the vehicle attribute information includes at least: position information of the corresponding vehicle in the vehicle image;

in step S302, determining, from the at least one vehicle, a vehicle with emissions exceeding the standard according to the identified exhaust gas position information and the vehicle attribute information, including:

s3021: determining target position information with the largest intersection with the tail gas position information from position information contained in the vehicle attribute information in the first snapshot data;

s3022: and determining the vehicle corresponding to the vehicle attribute information containing the target position information as the vehicle with the out-of-limit exhaust emission.

The vehicle position information and the exhaust gas position information may be position information of an area, and the intersection of the vehicle position information and the exhaust gas position information is the largest, which indicates that the exhaust gas is likely to be discharged by the vehicle, so after the target position information with the largest intersection of the exhaust gas position information is determined, the vehicle corresponding to the vehicle attribute information containing the target position information may be determined as the vehicle with the exceeding exhaust gas emission standard.

In the embodiment, the intersection of the vehicle which emits the tail gas and the region of the tail gas in the vehicle image is larger, and the vehicle with the exceeding tail gas emission is determined by adopting the intersection size between the vehicle position information and the tail gas position information, so that the accuracy of a confirmation result can be improved.

In one embodiment, before determining the vehicle corresponding to the vehicle attribute information including the target position information as the exhaust emission exceeding vehicle, the method further includes:

s3023: checking whether first violation information exists in locally recorded violation information or not, wherein the first violation information is used for indicating that a vehicle corresponding to vehicle attribute information containing the target position information is detected to have out-of-limit exhaust emission;

s3024: if not, continuing to execute the operation of determining the vehicle corresponding to the vehicle attribute information containing the target position information as the vehicle with the out-of-limit exhaust emission.

When the vehicle with the exceeding exhaust emission is determined each time, the violation information of the vehicle with the exceeding exhaust emission can be recorded. After the target position information is determined, whether first violation information indicating that the vehicle corresponding to the vehicle attribute information containing the target position information is detected to have the out-of-standard exhaust emission exists in the locally recorded violation information or not can be checked, if so, the fact that the vehicle is determined to be the out-of-standard exhaust emission vehicle before is indicated, and the operation of confirming whether the vehicle is the out-of-standard exhaust emission vehicle or not is not needed to be continuously executed; if not, continuing to perform the operation of determining the vehicle corresponding to the vehicle attribute information containing the target position information as the vehicle with the exceeding exhaust emission standard.

Therefore, under the condition that the vehicle is determined to be the vehicle with the exceeding exhaust emission, whether the vehicle is the vehicle with the exceeding exhaust emission is not required to be continuously confirmed, repeated confirmation of the same vehicle is avoided, the treatment capacity is reduced, and a plurality of violation records of the same vehicle in the same exhaust emission process can be avoided.

In one embodiment, in step S300, the determining, according to the vehicle attribute information in the first snapshot data, the vehicle with the emissions exceeding the standard from the at least one vehicle may include the following steps:

s303: and determining the vehicle corresponding to the vehicle attribute information as the vehicle with the out-of-standard exhaust emission aiming at each vehicle attribute information in the first snapshot data.

In this embodiment, the method may be applied to a scene where only a vehicle image including one vehicle is acquired, for example, in a checkpoint scene where only one vehicle can pass at a time, in which case, the vehicle in the vehicle image may be determined as an exhaust emission exceeding vehicle, that is, the vehicle corresponding to the vehicle attribute information in the first snapshot data is determined as an exhaust emission exceeding vehicle, and the accuracy of the result is higher.

Of course, the application scene is not limited to this, and other scenes may be applied, that is, a plurality of vehicles may be included in the vehicle image. In this case, all vehicles in the vehicle image are determined to be vehicles with out-of-standard exhaust emission, the accuracy of possible results is lower, and the subsequent check can be performed manually according to the vehicle image and the vehicle attribute information corresponding to the vehicle determined to be the vehicle with out-of-standard exhaust emission, so that the accuracy of the confirmed results is improved, and the probability of misjudgment is reduced.

In one embodiment, before determining the vehicle corresponding to the vehicle attribute information as the vehicle with emissions exceeding the exhaust emission standard, the method further includes:

s3031: checking whether second violation information exists in locally recorded violation information or not, wherein the second violation information is used for indicating that the vehicle corresponding to the vehicle attribute information is detected to have out-of-limit exhaust emission;

s3032: if not, continuing to execute the operation of determining the vehicle corresponding to the vehicle attribute information as the vehicle with the out-of-limit exhaust emission.

When the vehicle with the exceeding exhaust emission is determined each time, the violation information of the vehicle with the exceeding exhaust emission can be recorded. When the air quality parameter in the first snapshot data meets the preset tail gas emission exceeding condition, checking whether second violation information which indicates that the tail gas emission exceeding of the vehicle corresponding to the vehicle attribute information is detected exists in the locally recorded violation information according to each vehicle attribute information in the first snapshot data, and if so, indicating that the vehicle is determined to be the tail gas emission exceeding vehicle before, and continuing to execute the confirmation operation; if not, the operation of determining the vehicle corresponding to the vehicle attribute information as the vehicle with the exceeding exhaust emission standard is continuously performed.

In one embodiment, the cameras are any cameras that have been grouped, and each camera group includes a plurality of cameras therein;

in step S300, determining, from the at least one vehicle, a vehicle with emissions exceeding the standard according to the vehicle attribute information in the first snapshot data may include the following steps:

s304: and determining a vehicle with the exceeding tail gas emission standard from the at least one vehicle according to the vehicle attribute information in the first snapshot data and the cached second snapshot data, wherein the second snapshot data is snapshot data corresponding to other cameras in a camera group where the camera is located.

In this embodiment, the electronic device is connected to a plurality of cameras that have been grouped, and each camera group includes a plurality of cameras. Therefore, the vehicle with the out-of-standard tail gas emission can be determined from the at least one vehicle according to the vehicle attribute information in the first snapshot data and the cached second snapshot data corresponding to other cameras in the camera group where the camera is located. The second snapshot data corresponding to each other camera comprises: vehicle attribute information and related air quality parameters identified from vehicle images captured by the other cameras.

The electronic device may have previously cached snapshot data corresponding to other cameras within the camera group, as well as snapshot data corresponding to cameras within other camera groups. Therefore, the required second snapshot data needs to be found out from the second snapshot data, the camera group where the camera for taking the vehicle image is located can be determined first, and then the cached snapshot data corresponding to other cameras in the camera group are found out to be used as the second snapshot data.

Of course, if the snapshot data corresponding to other cameras in the camera set is not cached, the second snapshot data cannot be obtained at this time, and the subsequent operation may not be executed, and the first snapshot data may be cached.

In one example, the first snapshot data may carry a camera identification, in which case determining the camera group in which the camera is located may include: and finding out an identification set containing the camera identification carried in the first snapshot data from the recorded identification sets corresponding to the camera groups, and determining the camera group corresponding to the found identification set as the camera group where the camera is located, wherein the identification set is only used as an example and is not limited.

According to the vehicle attribute information in the first snapshot data and the cached second snapshot data, a mode of determining the vehicle with the exceeding exhaust emission standard from the at least one vehicle is not limited, for example: and finding out snapshot data containing any vehicle attribute information in the first snapshot data from the second snapshot data, and determining the vehicle corresponding to the same vehicle attribute information in the found snapshot data and the first snapshot data as the vehicle with the out-of-standard exhaust emission if the air quality parameter in the found snapshot data also meets the out-of-standard exhaust emission condition. Of course, the specific determination manner is not limited thereto.

In this embodiment, when the air quality parameter meets a preset exhaust emission standard exceeding condition, an exhaust emission standard exceeding vehicle may be determined from the at least one vehicle according to the cached second snapshot data corresponding to other cameras in the camera group where the camera is located and the vehicle attribute information in the first snapshot data, so that not only can a vehicle be determined whether the vehicle is an exhaust emission standard exceeding vehicle when the vehicle image includes one vehicle, but also a vehicle with the exhaust emission standard exceeding actually may be determined from the vehicle image when the vehicle image includes a plurality of vehicles, and the determination result is more accurate.

In one embodiment, in step S304, according to the vehicle attribute information in the first snapshot data and the cached second snapshot data, it is determined that the exhaust emission exceeds the standard from the at least one vehicle, which may include the following steps:

s3041: and aiming at each vehicle attribute information in the first snapshot data, searching target snapshot data containing the vehicle attribute information from the second snapshot data, and determining that the vehicle corresponding to the vehicle attribute information is the vehicle with the out-of-standard exhaust emission when the air quality parameter in any one of the searched target snapshot data meets the out-of-standard condition of the preset exhaust emission.

For example, the cached second snapshot data may be traversed, and if any vehicle attribute information in the traversed second snapshot data is the same as the vehicle attribute information, the second snapshot data is target snapshot data, which indicates that the camera corresponding to the second snapshot data also captures the vehicle. Then the continued traversal can be selected; or the traversing may be ended, and when the next vehicle attribute information is still in the first snapshot data, the second snapshot data is continuously traversed for the next vehicle attribute information.

After target snapshot data are searched for each vehicle attribute information, when the air quality parameter in any one of the searched target snapshot data meets the preset tail gas emission exceeding condition, the fact that the vehicle passes through at least two cameras in the target camera set is indicated that the relevant air quality parameters meet the preset tail gas emission exceeding condition can be determined, and the vehicle can be the tail gas emission exceeding vehicle.

By the method, the vehicle with the out-of-standard tail gas emission can be determined from all vehicles in the captured vehicle image.

In general, when the tail gas emission exceeds the standard phenomenon of the same vehicle captured by two cameras in the same camera group, the vehicle with the exceeding tail gas emission can be determined. However, there may be a case where the same speed of the vehicle immediately follows the off-gas emission exceeding vehicle, and in this case, if both of them pass through two cameras in the same camera group together, in the above manner, the vehicle immediately following the off-gas emission exceeding vehicle at the same speed may be misjudged as the off-gas emission exceeding vehicle.

In order to reduce the occurrence of misjudgment, a plurality of cameras (such as more than 4 cameras and the like, particularly not limited to the cameras) can be arranged in each camera group, and when the air quality parameters in the target snapshot data corresponding to the plurality of cameras meet the preset tail gas emission standard exceeding condition, the vehicle is determined to be the tail gas emission standard exceeding vehicle.

Because the probability of the same-speed following phenomenon is reduced along with the increase of the driving distance, the air quality parameters in the target snapshot data corresponding to a plurality of cameras (meaning the longer driving distance) meet the preset tail gas emission exceeding condition, and the probability that the determined tail gas emission exceeding vehicle is misjudged as the tail gas emission exceeding vehicle due to the same-speed following is smaller, so that the accuracy of determining the tail gas emission exceeding vehicle can be improved.

Of course, the above operations for reducing erroneous determination are optional, and should not be taken as limiting.

In one embodiment, before finding the target snapshot data containing the vehicle attribute information from the second snapshot data, the method further includes the steps of:

s3042: checking whether third violation information exists in locally recorded violation information, wherein the third violation information is used for indicating that the vehicle corresponding to the vehicle attribute information is detected to have out-of-limit exhaust emission;

S3043: if not, continuing to execute the operation of searching the target snapshot data containing the vehicle attribute information from the second snapshot data.

When the vehicle with the exceeding exhaust emission is determined each time, the violation information of the vehicle with the exceeding exhaust emission can be recorded. When the air quality parameter in the first snapshot data meets the preset tail gas emission exceeding condition, checking whether third violation information used for indicating that the tail gas emission exceeding is detected in the locally recorded violation information exists or not according to each vehicle attribute information in the first snapshot data, and if so, indicating that the vehicle is determined to be the tail gas emission exceeding vehicle before, and continuously executing the operation for confirming whether the vehicle is the tail gas emission exceeding vehicle or not; if not, continuing to execute the operation of searching the target snapshot data containing the attribute information of the vehicle from the second snapshot data.

Therefore, under the condition that the vehicle is determined to be the vehicle with the exceeding exhaust emission, the operation of confirming whether the vehicle is the vehicle with the exceeding exhaust emission is not needed to be continuously executed, repeated confirmation of whether the same vehicle is the vehicle with the exceeding exhaust emission is avoided, the treatment capacity is reduced, and multiple illegal records of the same vehicle in the same exhaust emission process can be avoided.

In one example, after determining an emissions-over-standard vehicle, violation information indicating that the vehicle has been detected as emissions-over-standard may be recorded locally.

In one embodiment, the method further comprises the steps of:

and periodically deleting the violation information with the record duration reaching the set record duration.

Under the condition that snapshot data are cached in the equipment, the snapshot data with the caching time length reaching the set caching time length can be deleted periodically.

The long retention of snapshot data and violation information is not significant because even if the same vehicle is performing exhaust emissions at the same place at two points of time that are spaced apart by a long distance, it cannot be considered as the same exhaust emissions. For example, after a certain vehicle is determined to be an exhaust emission vehicle, the same vehicle is snapped one day after the other, but the exhaust emission behavior is two times, and the current exhaust emission condition of the vehicle cannot be judged according to the data of the previous day.

Therefore, the snapshot data with the caching time reaching the set caching time and the violation information with the recording time reaching the set recording time are deleted regularly, so that the cached snapshot data and the recorded violation information are generated in the near past, the method has the reference meaning of determining whether the tail gas emission of the vehicle exceeds the standard, and the accuracy of determining the tail gas emission exceeds the standard is higher.

The set cache duration and the set recording duration may be set as required, and are not particularly limited, and may be, for example, 1 hour or 1 day.

In one embodiment, the first snapshot data further includes the vehicle image;

after determining that the exhaust emissions exceed the standard, the method may further include the steps of:

and synthesizing the vehicle image in the first snapshot data with the vehicle image in the target snapshot data containing the air quality parameters meeting the preset tail gas emission exceeding conditions.

The synthesized image can be used as punishment evidence of violation and can be presented to monitoring personnel so that the monitoring personnel can accurately judge which vehicle is the vehicle with the exceeding exhaust emission, and even if the condition that the vehicle with the exceeding exhaust emission is misjudged as the vehicle with the exceeding exhaust emission due to the same speed immediately follows, the misjudged vehicle can be manually eliminated based on the synthesized image.

The image synthesizing manner is not limited, and for example, the vehicle image in the first snapshot data and the vehicle image in the target snapshot data may be spliced together.

The above is the content of the exhaust emission detection method according to the first aspect of the present invention. The exhaust emission detection method of the second aspect of the invention is described below.

In one embodiment, referring to fig. 5, the exhaust emission detection method of the second aspect of the present invention may include the steps of:

t100: identifying vehicle attribute information corresponding to at least one vehicle from the snap-shot vehicle image;

t200: acquiring a target air quality parameter related to the vehicle image;

t300: and sending first snapshot data containing the vehicle attribute information and the target air quality parameter to connected electronic equipment, so that the electronic equipment acquires the first snapshot data and detects whether the air quality parameter in the first snapshot data meets the preset tail gas emission standard exceeding condition, and if so, determining a tail gas emission standard exceeding vehicle from at least one vehicle according to the vehicle attribute information in the first snapshot data.

The main body of the exhaust emission detection method according to the second aspect of the present invention may be a camera, and the camera is connected to the electronic device according to the foregoing embodiment. The cameras herein may be any cameras connected to the electronic device and having been grouped, as shown in fig. 2 and 3, the cameras may be any of the cameras 401-405. The camera can monitor vehicles in the road and capture vehicle images of the vehicles.

In step T100 shown in fig. 5, at least one piece of vehicle attribute information corresponding to the vehicle is identified from the snap-shot vehicle image.

The vehicle image contains at least one vehicle, and the vehicle attribute information corresponding to the at least one vehicle can be identified from the captured vehicle image by adopting a preset vehicle attribute information identification mode. The vehicle attribute information identification method is not particularly limited, and for example, a trained vehicle identification model may be used to identify vehicle attribute information corresponding to at least one vehicle from the vehicle image.

The vehicle attribute information may include: one or more of the license plate number, brand, size, color, and the like of the vehicle are not particularly limited as long as they can be recognized from the vehicle image and can be used to characterize the vehicle.

As shown in step T200 of fig. 5, a target air quality parameter associated with the vehicle image is acquired.

The camera may be connected to an air quality sensor. Preferably, the air quality sensor and the camera are located at the same position or in the same set range, so that when the camera captures an image of the vehicle, the air quality of the environment in which the camera is located, that is, the air quality of the environment in which the vehicle is located, can be determined.

The camera may acquire an air quality parameter from the air quality sensor as a target air quality parameter related to the vehicle image. The target air quality parameter may be an air quality parameter obtained by the camera in real time after capturing the vehicle image, or may be a latest air quality parameter obtained by the camera from an air quality sensor before capturing the vehicle image, which is not particularly limited thereto.

As shown in step T300 of fig. 5, first snapshot data including the vehicle attribute information and the target air quality parameter is transmitted to the connected electronic device.

After the electronic equipment acquires the first snapshot data, whether the air quality parameter in the first snapshot data meets the preset tail gas emission exceeding condition or not can be detected; and if so, determining the vehicle with the exceeding exhaust emission from the at least one vehicle according to the vehicle attribute information in the first snapshot data.

By means of the method, after the vehicle image is captured, the camera can send first capturing data containing vehicle attribute information corresponding to at least one vehicle identified from the captured vehicle image and target air quality parameters related to the vehicle image to the electronic equipment, so that the electronic equipment can acquire the first capturing data and detect whether the air quality parameters in the first capturing data meet the preset tail gas emission standard exceeding conditions, and if so, the tail gas emission standard exceeding vehicle can be determined from the at least one vehicle according to the vehicle attribute information in the first capturing data, so that the tail gas emission standard exceeding vehicle can be effectively treated.

In one embodiment, referring to FIG. 6, steps T100-T300 of the method described above may be performed by the exhaust emission detection device 200. The exhaust emission detection device 200 includes a vehicle attribute information identification module 201, a target air quality parameter acquisition module 202, and a snapshot data transmission module 203. The vehicle attribute information identifying module 201 is configured to execute step T100, the target air quality parameter acquiring module 202 is configured to execute step T200, and the snapshot data transmitting module 203 is configured to execute step T300.

In one embodiment, the method further comprises the steps of:

t400: periodically acquiring air quality parameters from the connected air quality sensors, and storing the acquired air quality parameters.

In particular, the camera may initiate a periodic polling thread to periodically acquire air quality parameters from the air quality sensor. Each poll may include the steps of:

1) Detecting the access state of an air quality sensor;

2) When the access state is that the camera is accessed, checking whether an air quality parameter acquisition function of the camera is started, if so, executing the step 3), otherwise, returning to execute the step 1 after waiting for a preset time length; the preset time length can be, for example, 5s, and is not particularly limited;

3) Transmitting a request message for an air quality parameter to the air quality sensor based on a communication protocol between the camera and the air quality sensor;

4) Waiting for the air quality parameter returned by the air quality sensor, if the air quality parameter returned by the air quality sensor is received within the set time, executing the step 5), and if the air quality parameter returned by the air quality sensor is not received within the set time, executing the step 7);

5) Checking the air quality parameter according to a preset checking mode, if the checking is successful, executing the step 6), otherwise, returning to execute the step 1 after waiting for a preset time length;

6) Storing the air quality parameters into a designated storage medium, waiting for a certain time and then entering into the next polling;

7) Accumulating historical timeout times for waiting for the air quality sensor to send back the air quality parameters in the polling with a set value to obtain current timeout times;

8) Checking whether the current timeout times exceeds the preset times, if yes, executing the step 9), otherwise, returning to execute the step 3);

9) And carrying out alarm information of failure in acquiring the air quality parameters.

Based on the above-described polling procedure, the camera may periodically obtain the latest air quality parameter and store the obtained air quality parameter in a designated storage medium.

In the step 5), the preset checking mode may be, for example, CRC (cyclic redundancy check code) checking, and may specifically be determined according to a communication protocol between the camera and the air quality sensor.

Taking communication between the camera and the air quality sensor through an RS485 interface as an example, the air quality parameter sent to the camera by the air quality sensor is 8 bytes of data in a 485 communication protocol format, wherein the 1 st byte is a data header, the last 7 bytes are data parts, the last bit is a check bit, and the value on the check bit is determined by the air quality sensor according to the data on the non-check bit in the data part. The camera can calculate a check value according to the data on the non-check bit in the last 7 bytes of the received air quality parameter, and if the value on the check bit of the received air quality parameter is the same as the calculated check value, the check is successful. Of course, the specific verification method is not limited thereto.

In one embodiment, in step T200, acquiring a target air quality parameter associated with the vehicle image includes the steps of:

t201: when the vehicle image is captured, sending a request message of an air quality parameter to the air quality sensor;

T202: if the air quality parameter transmitted back by the air quality sensor is received, determining the received air quality parameter as the target air quality parameter;

t203: if the air quality parameter transmitted back by the air quality sensor is not received within the set time, acquiring the latest stored air quality parameter from the stored air quality parameters, and determining the acquired air quality parameter as the target air quality parameter.

Specifically, as previously described, the camera may perform periodic polling. Therefore, the camera can send a request message of the air quality parameter to the air quality sensor in the current polling process when the vehicle image is captured. After the air quality sensor receives the request message, it can measure and acquire the current air quality parameter and send it back to the camera, or send the air quality parameter obtained by last measurement back to the camera.

However, in the above-described process, an abnormal situation may occur, such as the request information not being sent to the air quality sensor, or the air quality parameter returned from the air quality sensor not being sent to the camera, etc. These anomalies can result in the camera failing to receive the air quality parameter returned by the air quality sensor.

Therefore, if the air quality parameter returned by the air quality sensor is received within the set time period, the air quality parameter is used as the air quality parameter when the vehicle image is captured. If the air quality parameter transmitted back by the air quality sensor is not received within the set time, acquiring the latest stored air quality parameter from the appointed storage medium, and determining the acquired air quality parameter as the target air quality parameter.

Optionally, if the air quality parameter returned by the air quality sensor is received, the air quality parameter may be first checked in a preset checking manner, and if the check is successful, the received air quality parameter is determined to be the target air quality parameter; if the verification fails, the latest stored air quality parameter can be obtained from the stored air quality parameters, and the obtained air quality parameter is determined to be the target air quality parameter.

The foregoing relates to the exhaust emission detection method according to the second aspect of the present invention, and some of the same or related matters may be referred to the foregoing description of the embodiment of the first aspect of the present invention. An exhaust emission detection device of a third aspect of the present invention is described below.

In one embodiment, referring to fig. 4, an exhaust emission detection device 100 is applied to an electronic apparatus, the device 100 includes:

the first snapshot data obtaining module 101 is configured to obtain first snapshot data corresponding to a camera connected to the device, where the first snapshot data at least includes: vehicle attribute information corresponding to at least one vehicle identified from a vehicle image captured by the camera, and an air quality parameter associated with the vehicle image;

the exhaust emission exceeding detection module 102 is configured to detect whether an air quality parameter in the first snapshot data meets a preset exhaust emission exceeding condition;

and the vehicle determining module 103 for determining that the exhaust emission exceeds the standard according to the vehicle attribute information in the first snapshot data.

In one embodiment of the present invention, in one embodiment,

the first snapshot data further includes: the vehicle image;

In one embodiment of the present invention, in one embodiment,

In one embodiment, before the vehicle corresponding to the vehicle attribute information including the target position information is determined as the vehicle with the emissions exceeding the target position information, the emissions exceeding vehicle determining module is further configured to:

In one embodiment, the exhaust emission standard exceeding vehicle determining module is specifically configured to, when determining, according to the vehicle attribute information in the first snapshot data, an exhaust emission standard exceeding vehicle from the at least one vehicle:

In one embodiment, before the vehicle corresponding to the vehicle attribute information is determined to be the vehicle with the emissions exceeding standard by the emissions exceeding standard vehicle determining module, the emissions exceeding standard vehicle determining module is further configured to:

In one embodiment of the present invention, in one embodiment,

In one embodiment, the vehicle determination module for determining that the exhaust emission exceeds the standard is specifically configured to:

In one embodiment, before the exhaust emission exceeding vehicle determining module searches the second snapshot data for the target snapshot data including the attribute information of the vehicle, the determining module is further configured to:

The foregoing relates to an exhaust emission detection device according to a third aspect of the present invention, and some of the same or related matters may be referred to the foregoing description of the embodiment of the first aspect of the present invention. An exhaust emission detection device of a fourth aspect of the present invention is described below.

In one embodiment, referring to fig. 6, an exhaust emission detection device 200, for use with a camera, the device 200 comprising:

a vehicle attribute information identifying module 201, configured to identify vehicle attribute information corresponding to at least one vehicle from the captured vehicle image;

a target air quality parameter acquisition module 202 for acquiring a target air quality parameter related to the vehicle image;

and the snapshot data sending module 203 is configured to send first snapshot data including the vehicle attribute information and the target air quality parameter to the connected electronic device, so that the electronic device obtains the first snapshot data and detects whether the air quality parameter in the first snapshot data meets a preset tail gas emission standard exceeding condition, and if so, determines a tail gas emission standard exceeding vehicle from the at least one vehicle according to the vehicle attribute information in the first snapshot data.

In one embodiment, the apparatus further comprises: the air quality parameter storage module is used for periodically acquiring air quality parameters from the connected air quality sensors and storing the acquired air quality parameters;

The foregoing relates to the exhaust emission detection device according to the fourth aspect of the present invention, and some of the same or related matters may be referred to the foregoing description of the embodiment of the first aspect of the present invention.

For the device embodiments, reference is made to the description of the method embodiments for the relevant points, since they essentially correspond to the method embodiments. The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements.

The invention also provides an electronic device, which comprises a processor and a memory; the memory stores a program that can be called by the processor; the exhaust emission detection method described in the foregoing embodiment is implemented when the processor executes the program.

The embodiment of the exhaust emission detection device can be applied to electronic equipment. Taking software implementation as an example, the device in a logic sense is formed by reading corresponding computer program instructions in a nonvolatile memory into a memory by a processor of an electronic device where the device is located for operation. In terms of hardware, as shown in fig. 7, fig. 7 is a hardware configuration diagram of an electronic device where the exhaust emission detection device 100 according to an exemplary embodiment of the present invention is located, and in addition to the processor 510, the memory 530, the interface 520, and the nonvolatile memory 540 shown in fig. 7, the electronic device where the device 100 is located in the embodiment may further include other hardware according to the actual functions of the electronic device, which will not be described herein.

The present invention also provides a machine-readable storage medium having stored thereon a program which, when executed by a processor, implements an exhaust emission detection method as described in any of the preceding embodiments.

The present invention may take the form of a computer program product embodied on one or more storage media (including, but not limited to, magnetic disk storage, CD-ROM, optical storage, etc.) having program code embodied therein. Machine-readable storage media include both permanent and non-permanent, removable and non-removable media, and information storage may be implemented by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of machine-readable storage media include, but are not limited to: phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, may be used to store information that may be accessed by the computing device.

The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather to enable any modification, equivalent replacement, improvement or the like to be made within the spirit and principles of the invention.

Claims

1. An exhaust emission detection method, characterized by being applied to an electronic device, the electronic device being provided with at least an air quality sensor, the method comprising:

acquiring first snapshot data corresponding to a camera connected with the device, wherein the first snapshot data at least comprises: at least one vehicle attribute information corresponding to a vehicle identified from a vehicle image captured by the camera, the vehicle image, and an air quality parameter associated with the vehicle image received from the air quality sensor;

detecting whether an air quality parameter in the first snapshot data meets a preset tail gas emission exceeding condition or not, wherein the air quality parameter is used for reflecting the air quality of the environment where the camera is located when a vehicle in the vehicle image passes through the range where the camera is located;

if so, carrying out tail gas identification on the vehicle image according to a preset tail gas identification algorithm; and when the tail gas is identified, determining the vehicle with the out-of-standard tail gas emission from the at least one vehicle according to the identified tail gas position information and the vehicle attribute information.

2. The exhaust emission detection method as claimed in claim 1, wherein,

3. The exhaust emission detection method according to claim 2, characterized in that before determining the vehicle corresponding to the vehicle attribute information including the target position information as the exhaust emission exceeding vehicle, the method further comprises:

4. An exhaust emission detection method, characterized in that it is applied to a camera, said camera being connected to an air quality sensor, the method comprising:

acquiring a target air quality parameter associated with the vehicle image from a connected air quality sensor;

transmitting first snapshot data containing the vehicle attribute information and the target air quality parameter to connected electronic equipment, so that the electronic equipment acquires the first snapshot data and detects whether the air quality parameter in the first snapshot data meets the preset tail gas emission exceeding condition, wherein the air quality parameter is used for reflecting the air quality of the environment where the camera is located when a vehicle in the vehicle image passes through the range where the camera is located, and if so, tail gas identification is carried out on the vehicle image according to a preset tail gas identification algorithm; and when the tail gas is identified, determining the vehicle with the out-of-standard tail gas emission from the at least one vehicle according to the identified tail gas position information and the vehicle attribute information.

5. The exhaust emission detection method according to claim 4, further comprising: periodically acquiring air quality parameters from the connected air quality sensors, and storing the acquired air quality parameters;

6. An exhaust emission detection device, characterized in that it is applied to electronic equipment, said electronic equipment being provided with at least an air quality sensor, the device comprising:

the first snapshot data acquisition module is used for acquiring first snapshot data corresponding to a camera connected with the equipment, and the first snapshot data at least comprises: at least one vehicle attribute information corresponding to a vehicle identified from a vehicle image captured by the camera, the vehicle image, and an air quality parameter associated with the vehicle image received from the air quality sensor;

The tail gas emission exceeding detection module is used for detecting whether the air quality parameter in the first snapshot data meets the preset tail gas emission exceeding condition or not, and the air quality parameter is used for reflecting the air quality of the environment where the camera is located when the vehicle in the vehicle image passes through the range where the camera is located;

the vehicle determining module is used for identifying the tail gas of the vehicle image according to a preset tail gas identification algorithm if the tail gas emission exceeds the standard; and when the tail gas is identified, determining the vehicle with the out-of-standard tail gas emission from the at least one vehicle according to the identified tail gas position information and the vehicle attribute information.

7. An exhaust emission detection device, characterized in that is applied to the camera, the camera is connected with air quality sensor, and the device includes:

a target air quality parameter acquisition module for acquiring a target air quality parameter related to the vehicle image from a connected air quality sensor;

the snapshot data sending module is used for sending first snapshot data containing the vehicle attribute information and the target air quality parameter to connected electronic equipment so that the electronic equipment can acquire the first snapshot data and detect whether the air quality parameter in the first snapshot data meets the preset tail gas emission exceeding condition, wherein the air quality parameter is used for reflecting the air quality of the environment where the camera is located when a vehicle in the vehicle image passes through the range where the camera is located, and if so, tail gas identification is carried out on the vehicle image according to a preset tail gas identification algorithm; and when the tail gas is identified, determining the vehicle with the out-of-standard tail gas emission from the at least one vehicle according to the identified tail gas position information and the vehicle attribute information.

8. An electronic device, comprising a processor and a memory; the memory stores a program that can be called by the processor; wherein the processor, when executing the program, implements the exhaust emission detection method according to any one of claims 1 to 5.

9. A machine-readable storage medium, having stored thereon a program which, when executed by a processor, implements the exhaust emission detection method according to any one of claims 1 to 5.