CN112802610A - Passenger information big data intelligent processing method and device - Google Patents
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Abstract
The application discloses a method and a device for intelligently processing passenger information big data, wherein the method comprises the following steps: the method comprises the steps that first client software obtains first time when reminding information is received and second time when the reminding information is received last time, and sends inquiry information to a server; the server generates a new data table according to the inquired result and stores the new data table in a database; after receiving a first message for inquiring a person who closely contacts with the epidemic disease, the server acquires the identification information and time of the train from the first message and searches a corresponding data table according to the acquired content; and the server copies the data table into the memory, and searches the close contact person corresponding to the passenger according to the passenger seat information carried in the first message. By the method and the device, the problem of low query efficiency caused by the fact that the patient is searched for the information of the person who has contacted the patient from a database containing big data is solved, and the query efficiency is improved to a certain extent.
Description
Technical Field
The application relates to the field of data processing, in particular to a method and a device for intelligently processing passenger information big data.
Background
When an epidemic investigation is carried out, if a patient infected with an epidemic takes a train, people in seats around the patient need to be subjected to corresponding medical detection.
The information of the train is stored in a server, a large amount of passenger information is stored in the server, and when personnel around a patient are investigated, the information needs to be read from a large data database, and the reading of the large data database consumes a certain time.
In addition, a plurality of applications may need to call information of personnel contacted by a patient on a train, and therefore, the database is read every time the information is called, which causes that the query speed becomes slow, thereby affecting the query efficiency and affecting the database operation efficiency to a certain extent.
Disclosure of Invention
The embodiment of the application provides a passenger information big data intelligent processing method and device, and aims to at least solve the problem of low query efficiency caused by the fact that a patient is searched for information of people who have contacted the patient from a database containing big data.
According to one aspect of the application, a passenger information big data intelligent processing method is provided, and comprises the following steps: the method comprises the steps that first client software receives reminding information that a train is disinfected, wherein the first client software is installed on a mobile terminal of a train worker, and the train worker sends the reminding information through the first client software after disinfecting the train; the first client software obtains a first time when the reminding information is received and a second time when the reminding information is received last time, and sends query information to a server, wherein the query information at least comprises: identification information uniquely identifying the train, the first time and the second time; the server searches a database for passengers taking the train in a time period according to the query information, wherein the time period starts from the second time and ends at the first time; the server generates a new data table from the inquired result and stores the new data table in the database, wherein the new data table is named by using the inquiry information; the new data table comprises only the following fields: the passenger contact information, the passenger seat information and the time information of the passenger on the train; the time information of the passengers riding the train is determined according to the passengers getting on and off the station; after receiving a first message for inquiring a person who closely contacts with the epidemic disease, the server acquires the identification information and time of the train from the first message and searches a corresponding data table according to the acquired content; and the server copies the data table into a memory, and searches for the close contact person corresponding to the passenger according to the passenger seat information carried in the first message.
Further, still include: and the server receives query ending information for querying the epidemic disease close contacts, and responds to the query ending information, and deletes the data table copied to the memory.
Further, still include: and after the server does not receive the query ending information of the closely contacted person who queries the epidemic disease after a preset time, the server deletes the data table copied to the memory.
Further, still include: and the server sends alarm information to all the close contacts according to the searched contact information of the close contacts, wherein the alarm information is used for indicating that the close contacts with the epidemic disease carriers.
According to another aspect of the application, a passenger information big data intelligent processing device is also provided, and comprises: the system comprises first client software and a server, wherein the first client software receives reminding information that a train is disinfected, the first client software is installed on a mobile terminal of a train worker, and the train worker sends the reminding information through the first client software after disinfecting the train; the first client software obtains a first time when the reminding information is received and a second time when the reminding information is received last time, and sends query information to a server, wherein the query information at least comprises: identification information uniquely identifying the train, the first time and the second time; the server searches a database for passengers taking the train in a time period according to the query information, wherein the time period starts from the second time and ends at the first time; the server generates a new data table from the inquired result and stores the new data table in the database, wherein the new data table is named by using the inquiry information; the new data table comprises only the following fields: the passenger contact information, the passenger seat information and the time information of the passenger on the train; the time information of the passengers riding the train is determined according to the passengers getting on and off the station; after receiving a first message for inquiring a person who closely contacts with the epidemic disease, the server acquires the identification information and time of the train from the first message and searches a corresponding data table according to the acquired content; and the server copies the data table into a memory, and searches for the close contact person corresponding to the passenger according to the passenger seat information carried in the first message.
Further, the server is also used for receiving query ending information for querying closely contacted people with epidemic diseases, and in response to the query ending information, the server deletes the data table copied to the memory.
Further, the server is also used for deleting the data table copied to the memory if the server does not receive the query ending information of the closely contacted person who queries the epidemic disease after a preset time.
Further, the server is also used for sending alarm information to all the close contacts according to the contact information of the searched close contacts, wherein the alarm information is used for indicating that the close contacts with the epidemic disease carriers.
There is also provided in this embodiment a memory for storing software for carrying out the method described above.
There is also provided in this embodiment a processor for executing software for performing the above method.
In the embodiment of the application, first client software is adopted to receive reminding information that a train is disinfected, wherein the first client software is installed on a mobile terminal of a train worker, and the train worker sends the reminding information through the first client software after disinfecting the train; the first client software obtains a first time when the reminding information is received and a second time when the reminding information is received last time, and sends query information to a server, wherein the query information at least comprises: identification information uniquely identifying the train, the first time and the second time; the server searches a database for passengers taking the train in a time period according to the query information, wherein the time period starts from the second time and ends at the first time; the server generates a new data table from the inquired result and stores the new data table in the database, wherein the new data table is named by using the inquiry information; the new data table comprises only the following fields: the passenger contact information, the passenger seat information and the time information of the passenger on the train; the time information of the passengers riding the train is determined according to the passengers getting on and off the station; after receiving a first message for inquiring a person who closely contacts with the epidemic disease, the server acquires the identification information and time of the train from the first message and searches a corresponding data table according to the acquired content; and the server copies the data table into a memory, and searches for the close contact person corresponding to the passenger according to the passenger seat information carried in the first message. By the method and the device, the problem of low query efficiency caused by the fact that the patient is searched for the information of the person who has contacted the patient from a database containing big data is solved, and the query efficiency is improved to a certain extent.
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The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
fig. 1 is a flowchart of a passenger information big data intelligent processing method according to an embodiment of the present application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In this embodiment, an electronic device is provided, comprising a memory in which a computer program is stored and a processor arranged to run the computer program to perform the method in the following embodiments.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer 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 Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
In this embodiment, a method for intelligently processing passenger information big data is provided, and fig. 1 is a flowchart of the method for intelligently processing passenger information big data according to the embodiment of the present application, and as shown in fig. 1, the flowchart includes the following steps:
step S102, receiving reminding information that a train is disinfected by first client software, wherein the first client software is installed on a mobile terminal of a train worker, and the train worker sends the reminding information through the first client software after disinfecting the train;
step S104, the first client software obtains the first time of receiving the reminding information and the second time of receiving the reminding information last time, and sends inquiry information to a server, wherein the inquiry information at least comprises: identification information uniquely identifying the train, the first time and the second time;
step S106, the server searches passengers taking the train in a time period from the second time and the first time in a database according to the query information;
step S108, the server generates a new data table from the inquired result and stores the new data table in the database, wherein the new data table is named by using the inquiry information; the new data table comprises only the following fields: the passenger contact information, the passenger seat information and the time information of the passenger on the train; the time information of the passengers riding the train is determined according to the passengers getting on and off the station; or the new data table may be stored in another database. Even if the data is stored in the same database, the efficiency of storing and searching by using different tables is improved.
As an alternative, there may be a plurality of seat information of the traveler stored in the database, at least one of which is seat information on the ticket of the traveler. In some cases, the passenger may be seated in another seat. In order to solve the problem, continuous videos shot by the cameras facing the passengers can be stored by utilizing the cameras at the front and the back of the carriage, the storage time is the running time of the train from the starting point to the end point, the boarding and disembarking time of the passengers is determined according to the boarding and disembarking information of the passengers, the first video of the time period is intercepted from the video, all key frames in the first video are obtained, the key frames are compared, the first key frame of the passengers changing from the sitting state to the sitting state is found, all key frames are identified within a preset time after the first key frame, the second key frame of the passengers changing from the sitting state to the sitting state is identified, the first sitting-keeping third key frame before the first key frame and the first sitting-keeping fourth key frame after the second key frame are compared, and judging whether the position of the passenger changes or not, and recording new seat information of the passenger if the position of the passenger changes.
There are various ways to determine whether the positions of the passengers in the third key frame and the fourth key frame have changed, for example, determining whether the positions of the passengers in the third key frame and the fourth key frame have changed includes: and inputting the third key frame and the fourth key frame into a first model based on a neural network, wherein the first model is obtained by training a plurality of groups of training data, each group of training data in the plurality of groups of training data comprises input data and output data, the input data are two pictures, the pictures are pictures of passengers in a carriage, the output data are labels, and the labels identify which passenger's seat in the second picture is changed relative to the first picture.
And inputting the third key frame and the fourth key frame into the first model, obtaining output from the first model, recording new seat information of the passenger if the output label indicates that the seat of the passenger changes, and if the output label does not indicate that the seat of the passenger changes, the seat of the passenger does not change.
Step S110, after receiving a first message for inquiring a person who closely contacts with the epidemic disease, the server acquires the identification information and time of the train from the first message, and searches a corresponding data table according to the acquired content;
as an optional embodiment that may be added, the number of first messages received by the server within the predetermined time is determined, and if the number of received first messages exceeds a first threshold (for example, 20 first messages are received within 1 s), the data table is copied to the memory. If the number of the received first messages does not exceed the first threshold, not copying the data table to the memory. This is because the memory resource is also a valuable resource, if the number of the received first messages is not too large, the speed of directly searching the database is not too slow, and if too many messages are received, the copying to the memory is a more reasonable processing mode.
If the number of the received first messages exceeds a second threshold value within a preset time, wherein the second threshold value is larger than the first threshold value, the server caches the partial first messages of which the number exceeds the first threshold value at the moment, and processes the rest parts after the first messages of which the number exceeds the first threshold value are processed. For the cached first message, the server sends a heartbeat message to the first message source party, wherein the heartbeat message is used for maintaining a link between the server and the first message source party. The heartbeat message is also used to indicate that a query of a source of the first message is ongoing.
The server may further store a white list, where the white list includes an IP address, a domain name, and an application name, and when the first message received within a predetermined time exceeds a second threshold, the server preferentially processes the IP address, the domain name, or the application name of the first message source in the white list.
And step S112, the server copies the data table into a memory, and searches for a close contact person corresponding to the passenger according to the passenger seat information carried in the first message.
As an optional implementation manner that may be added, before copying the data table to the memory, the server determines the remaining amount of the local memory, and if the remaining amount of the memory is smaller than a predetermined value, the server sends a memory query message to another server, and the another server returns the remaining amount of the memory thereof, and if the remaining amount of the memory of the another server is greater than or equal to the predetermined value, the server sends the data table to the another server and notifies the another server to store the data table in the memory. The server sends a forwarding message to a source party of the first message, wherein the forwarding message carries a network address of another server; and the source side of the first message initiates the query to the other server again according to the network address of the other server.
Through the steps, the information of the close contact persons needing to be inquired is extracted from the database of the big data, a new data table is established, the data table only stores passenger information of a train, the content is less, and after the inquiry information is received, the data table is placed in the memory, the data reading speed from the memory is high, so that the inquiry efficiency can be improved, and the problem of low existing inquiry efficiency is solved.
Preferably, the method further comprises the following steps: and the server receives query ending information for querying the epidemic disease close contacts, and responds to the query ending information, and deletes the data table copied to the memory.
Preferably, the method further comprises the following steps: and after the server does not receive the query ending information of the closely contacted person who queries the epidemic disease after a preset time, the server deletes the data table copied to the memory.
Preferably, the method further comprises the following steps: and the server sends alarm information to all the close contacts according to the searched contact information of the close contacts, wherein the alarm information is used for indicating that the close contacts with the epidemic disease carriers.
The embodiment also provides a passenger information big data intelligent processing device, which corresponds to the steps of the method, and the explanation of the method is not repeated.
The device includes: the system comprises first client software and a server, wherein the first client software receives reminding information that a train is disinfected, the first client software is installed on a mobile terminal of a train worker, and the train worker sends the reminding information through the first client software after disinfecting the train; the first client software obtains a first time when the reminding information is received and a second time when the reminding information is received last time, and sends query information to a server, wherein the query information at least comprises: identification information uniquely identifying the train, the first time and the second time; the server searches a database for passengers taking the train in a time period according to the query information, wherein the time period starts from the second time and ends at the first time; the server generates a new data table from the inquired result and stores the new data table in the database, wherein the new data table is named by using the inquiry information; the new data table comprises only the following fields: the passenger contact information, the passenger seat information and the time information of the passenger on the train; the time information of the passengers riding the train is determined according to the passengers getting on and off the station; after receiving a first message for inquiring a person who closely contacts with the epidemic disease, the server acquires the identification information and time of the train from the first message and searches a corresponding data table according to the acquired content; and the server copies the data table into a memory, and searches for the close contact person corresponding to the passenger according to the passenger seat information carried in the first message.
Preferably, the server is further configured to receive query end information for querying an epidemic contacter, and in response to the query end information, the server deletes the data table copied to the memory.
Preferably, the server is further configured to delete the data table copied to the memory if the server does not receive the query end information of the query epidemic closely contacted person after a predetermined period of time.
Preferably, the server is further configured to send warning information to all the close contacts according to the contact information of the searched close contacts, where the warning information is used to indicate that there is contact with the epidemic carrier.
There is also provided in this embodiment a memory for storing software for carrying out the method described above.
There is also provided in this embodiment a processor for executing software for performing the above method.
The embodiment of the application provides a storage medium, on which a program or software is stored, and the program realizes the method when being executed by a processor. The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A passenger information big data intelligent processing method is characterized by comprising the following steps:
the method comprises the steps that first client software receives reminding information that a train is disinfected, wherein the first client software is installed on a mobile terminal of a train worker, and the train worker sends the reminding information through the first client software after disinfecting the train;
the first client software obtains a first time when the reminding information is received and a second time when the reminding information is received last time, and sends query information to a server, wherein the query information at least comprises: identification information uniquely identifying the train, the first time and the second time;
the server searches a database for passengers taking the train in a time period according to the query information, wherein the time period starts from the second time and ends at the first time;
the server generates a new data table from the inquired result and stores the new data table in the database, wherein the new data table is named by using the inquiry information; the new data table comprises only the following fields: the passenger contact information, the passenger seat information and the time information of the passenger on the train; the time information of the passengers riding the train is determined according to the passengers getting on and off the station;
after receiving a first message for inquiring a person who closely contacts with the epidemic disease, the server acquires the identification information and time of the train from the first message and searches a corresponding data table according to the acquired content;
and the server copies the data table into a memory, and searches for the close contact person corresponding to the passenger according to the passenger seat information carried in the first message.
2. The method of claim 1, further comprising:
and the server receives query ending information for querying the epidemic disease close contacts, and responds to the query ending information, and deletes the data table copied to the memory.
3. The method of claim 1 or 2, further comprising:
and after the server does not receive the query ending information of the closely contacted person who queries the epidemic disease after a preset time, the server deletes the data table copied to the memory.
4. The method of any of claims 1 to 3, further comprising:
and the server sends alarm information to all the close contacts according to the searched contact information of the close contacts, wherein the alarm information is used for indicating that the close contacts with the epidemic disease carriers.
5. The passenger information big data intelligent processing device is characterized by comprising: a first client software and a server, wherein,
the first client software receives reminding information that the train is disinfected, wherein the first client software is installed on a mobile terminal of a train worker, and the train worker sends the reminding information through the first client software after disinfecting the train;
the first client software obtains a first time when the reminding information is received and a second time when the reminding information is received last time, and sends query information to a server, wherein the query information at least comprises: identification information uniquely identifying the train, the first time and the second time;
the server searches a database for passengers taking the train in a time period according to the query information, wherein the time period starts from the second time and ends at the first time;
the server generates a new data table from the inquired result and stores the new data table in the database, wherein the new data table is named by using the inquiry information; the new data table comprises only the following fields: the passenger contact information, the passenger seat information and the time information of the passenger on the train; the time information of the passengers riding the train is determined according to the passengers getting on and off the station;
after receiving a first message for inquiring a person who closely contacts with the epidemic disease, the server acquires the identification information and time of the train from the first message and searches a corresponding data table according to the acquired content;
and the server copies the data table into a memory, and searches for the close contact person corresponding to the passenger according to the passenger seat information carried in the first message.
6. The apparatus of claim 5,
the server is also used for receiving query ending information of a person who queries the epidemic disease close contact and responding to the query ending information, and the server deletes the data table copied to the memory.
7. The apparatus of claim 5 or 6,
and the server is also used for deleting the data table copied to the memory if the server does not receive the query ending information of the closely contacted person who queries the epidemic disease after a preset time.
8. The apparatus according to any one of claims 5 to 7,
and the server is also used for sending alarm information to all the close contacts according to the searched contact information of the close contacts, wherein the alarm information is used for indicating that the close contacts with the epidemic disease carriers.
9. Memory for storing software for performing the method of any one of claims 1 to 4.
10. A processor configured to execute software configured to perform the method of any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110132628.7A CN112802610A (en) | 2021-01-31 | 2021-01-31 | Passenger information big data intelligent processing method and device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110132628.7A CN112802610A (en) | 2021-01-31 | 2021-01-31 | Passenger information big data intelligent processing method and device |
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| CN112802610A true CN112802610A (en) | 2021-05-14 |
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| CN202110132628.7A Pending CN112802610A (en) | 2021-01-31 | 2021-01-31 | Passenger information big data intelligent processing method and device |
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