CN110769581A - Intelligent automobile light control system and method for expressway fog - Google Patents
Intelligent automobile light control system and method for expressway fog Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
- B60Q1/00—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor
- B60Q1/02—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments
- B60Q1/04—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights
- B60Q1/06—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights adjustable, e.g. remotely-controlled from inside vehicle
- B60Q1/08—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights adjustable, e.g. remotely-controlled from inside vehicle automatically
- B60Q1/085—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights adjustable, e.g. remotely-controlled from inside vehicle automatically due to special conditions, e.g. adverse weather, type of road, badly illuminated road signs or potential dangers
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
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Abstract
The invention discloses an intelligent automobile light control system and method for expressway agglomerate fog.A distributed measurement method is adopted by an information acquisition unit to acquire temperature, humidity, illumination, wind speed and wind direction information, provide current road condition information and store key factor values of the current agglomerate fog; the control unit is used for measuring the acquired data for multiple times and judging whether the measured value of each time meets the condition of forming the cluster mist; judging the severity of the current fog according to the visibility condition; and the execution unit is used for adjusting the light intensity of the vehicle lamp by adopting PWM (pulse-width modulation) pulses according to the current signal value when the fog forming condition is met. The invention liberates drivers and improves the driving convenience.
Description
Technical Field
The invention belongs to the technical field of intelligent control of road traffic vehicles, and particularly relates to an intelligent automobile light control system and method for highway group fog.
Background
The expressway brings great convenience to people's trips in recent years, but accidents are frequent due to extreme weather conditions, particularly frequent foggy weather in recent years, and great threats are brought to people's trips. Because the mass fog appearing on the expressway has the characteristics of paroxysmal property, fluidity, low visibility and certain regionality, a driver in the mass fog cannot know the road condition ahead due to the fact that no reference object exists, and whether accidents exist ahead or not and the vehicle stops, and the driver cannot respond in time when finding a problem. Therefore, the vehicle can automatically make quick and effective response in a timely time, and has great help effect on the driver.
At present, most of the methods adopted by the prior art are image comparison methods to determine whether the fog is high-speed fog, so as to judge whether the fog exists in the front, and provide psychological preparations for the driver, thereby reminding the driver of careful driving. Although the driver is helped to a certain extent, the driver cannot be helped to realize accurate control and quick response of the vehicle-mounted light.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide an intelligent automobile lighting control system and method for highway foggy road, which can monitor visibility information of a current road section in real time, help a driver to make a proper judgment in a short time, perform intelligentization of vehicle lighting, ensure driving convenience and safety to the greatest extent, and ensure traffic safety.
The invention adopts the following technical scheme:
an intelligent automobile light control system for highway foggy, comprising:
the information acquisition unit is used for acquiring temperature, humidity, illumination, wind speed and wind direction information by adopting a distributed measurement method, providing current road condition information and storing current key factor values for forming the mass fog;
the control unit is used for measuring the acquired data for multiple times and judging whether the measured value of each time meets the condition of forming the cluster mist; judging the severity of the current fog according to the visibility condition;
and the execution unit is used for adjusting the light intensity of the vehicle lamp by adopting PWM (pulse-width modulation) pulses according to the current signal value when the fog forming condition is met.
Specifically, the information acquisition unit includes visibility sensor, temperature and humidity sensor, particulate matter sensor and wind speed sensor, visibility sensor, temperature and humidity sensor, particulate matter sensor and wind speed sensor are connected with the STM32 main control chip of the control unit through the AD conversion respectively, and STM32 main control chip passes through the head-light of light drive circuit connection car.
Furthermore, the transmitting end of the visibility sensor is arranged on a telegraph pole of the expressway and connected with an external power supply, and the receiving end of the visibility sensor is arranged at the engine end of the automobile and connected with an in-automobile power supply; storing the acquired information in an information acquisition unit; the wind speed and direction sensor is arranged on the roof of the automobile; the temperature and humidity sensor and the particle sensor are respectively arranged at the backing mirrors at the two sides of the automobile.
Further, the light driving circuit is specifically:
one path of the VIN + level is connected with the anode of a diode D1, the remaining four paths are respectively connected with the VIN-level through capacitors C2, C3, C4 and C5, and the VIN-level is grounded through a resistor R2 and a resistor R4; the PWM output pin of the STM32 main control chip is divided into two paths, one path is connected with an emission set of a triode Q2 and a grid electrode of an MOS tube Q1 through a resistor R3, the other path is connected with a base set of a triode Q2, a collector electrode of the triode Q2 is grounded, a drain electrode of the MOS tube Q1 is divided into three paths, one path is connected with a negative electrode of a diode D1 through an inductor L1, the second path is respectively connected with capacitors C8 and 8 LED lamps after passing through a capacitor C6 and an inductor L2 to complete the control of the current flowing through the LEDs, the third path is connected with a resistor R5 and a capacitor C7 and then divided into two paths, one path is connected with an inductor L2, the other path is grounded after passing through a diode D2, the other path is respectively connected with capacitors C8 and 8 LED lamps after passing through the resistor R6, 3.3V voltage is connected with a resistor R1 and then divided into two paths, one path is grounded through a capacitor C1.
The invention also provides a control method of the intelligent automobile light control system for the fog on the expressway, which comprises the following steps:
s1, initializing the system;
s2, detecting the key, and executing the step S3 if the key is pressed;
s3, detecting the illumination intensity and the particulate matter concentration of the surrounding environment of the automobile;
s4, detecting the temperature and humidity of the surrounding environment;
s5, detecting the wind speed and the wind direction of the surrounding environment;
s6, calculating the current probability of the cluster fog;
s7, judging whether the fog exists at present, if not, executing a step S3, if so, judging the severity degree according to the visibility, and executing a step S8;
s8, adjusting the light intensity, and returning to the step S2;
and S9, ending.
Specifically, in step S3, when the visibility is less than 2000m, it is determined that the cloud formation condition is currently satisfied.
Specifically, in step S6, the weight of each factor affecting the severity of the cloud is analyzed by an analytic hierarchy process, a plurality of continuous measurements are performed, and when the probability of occurrence of the cloud is greater than 80%, the cloud is determined to meet the cloud forming condition, and the light control system is executed.
Further, the cloud occurrence probability P is specifically:
wherein x isiFor events meeting the requirements, WiIs the weight of the event.
Specifically, in step S7, the severity of the cloud is divided into heavy fog, medium fog, light fog, and no fog; visibility and the severity of the fog are in a reaction relation, PWM duty ratio is adjusted according to different severities of the fog, and the brightness of the light is adjusted by controlling the current of the automobile headlamp.
Further, visibility is in a negative relationship with the severity of fog in particular:
wherein C is a constant, RH is relative humidity, rho is concentration of PM2.5, and G is 0-2, and the fog is judged to be absent; judging the fog to be light fog when G is 2-4; judging the fog to be medium fog when G is 4-10; g is more than 10, and the fog is judged to be heavy.
Compared with the prior art, the invention has at least the following beneficial effects:
the intelligent automobile light control system for the expressway fog cluster adopts a distributed measurement method, can measure multiple environmental factors of the current road section in real time by using a plurality of sensors, helps drivers to independently realize the regulation and control of the light in the fog cluster, and greatly improves the driving convenience.
Furthermore, a plurality of sensors are arranged to collect road condition information, so that whether the cluster mist exists or not and the severity of the cluster mist can be judged more accurately.
Furthermore, a light driving circuit is arranged, so that light with different intensities can be regulated according to different fog conditions, and the system is more intelligent.
The control method of the intelligent automobile light control system for the fog on the expressway provided by the invention is provided with the key part for detection, so that the misoperation of the system can be avoided, and the working efficiency of the system is improved.
Furthermore, the condition for forming the cluster fog is set to help the driver to judge the road condition independently and further transmit the information to the master control system.
Furthermore, factors influencing the severity of the cluster fog are analyzed by an analytic hierarchy process, and the problem that numerical value change intervals of the factors are large when the cluster fog is formed can be solved to a certain extent.
Furthermore, the cluster fog is divided into different grades, so that light allocation with different intensities is realized, and the rationalization of a light control system is realized.
In conclusion, the invention liberates drivers and improves the convenience of driving.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
FIG. 1 is a general block diagram of the system of the present invention;
FIG. 2 is a hardware block diagram of the present invention;
FIG. 3 is a schematic view of a sensor installation;
FIG. 4 is a schematic view of another sensor installation;
FIG. 5 is a circuit diagram of a lamp driving circuit;
FIG. 6 is a flow chart of the present invention.
Detailed Description
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Referring to fig. 1 and 2, the present invention provides an intelligent automobile lighting control system for highway foggy road, the whole system is divided into 3 main parts: the device comprises an information acquisition unit, a control unit and an execution unit.
The information acquisition unit is used for forming high-speed mist due to temperature, humidity, illumination, wind speed and wind direction; therefore, the method is also based on the five aspects when the information is collected; the information of the current road condition can be provided, and the numerical values of several key factors forming the cluster fog at present can be stored, and the several factors play more or less roles in forming the cluster fog. Therefore, the multi-sensor distributed measurement selected by the information acquisition unit during information acquisition can ensure that each parameter can be acquired.
The control unit processes and judges the data according to the data acquired by the information acquisition unit part;
the lamp control MCU processor analyzes and compares the data values while receiving the detection data of each sensor to see whether the data values can reach the expected values in the database, judges whether the measured values meet the conditions for forming the cluster fog after multiple measurements and judges the severity of the current cluster fog according to the visibility conditions, and transmits the information to the execution unit.
The execution unit is used for reasonably selecting light; if the condition of the cluster fog formation is met, the STM32 main control chip can reasonably distribute PWM duty ratio according to the current cluster fog severity degree, and the light intensity is automatically adjusted.
The weather detection of the expressway is required to have the characteristics of timeliness and accuracy, so that the selection of a proper sensor has very important significance; the sensors used by the information acquisition part are selected based on the factors, and comprise a visibility sensor, a temperature and humidity sensor, a particulate matter sensor and a wind speed and direction sensor;
the control unit comprises an STM32 main control chip and adopts an advanced ARM Cortex-M3 processor.
The visibility sensor, the temperature and humidity sensor, the particulate matter sensor and the wind speed and direction sensor are respectively connected with an STM32 main control chip through A/D conversion, and the STM32 main control chip is respectively connected with a headlamp of an automobile through an execution motor; the STM32 main control chip is also connected with the button and the power respectively.
Referring to fig. 3, the visibility sensor includes a transmitting end and a receiving end, and is connected to the transmitting end through an external power supply to transmit infrared rays, and the infrared rays are transmitted to the STM32 main control chip through a/D conversion after passing through the receiving end.
The transmission end part of the visibility sensor is arranged on a telegraph pole of the expressway through power supply of an external power supply, and the other part of the receiving end is arranged in the front of an engine of the automobile through power supply inside the automobile to prevent interference caused by other reasons. The visibility of the current road section can be roughly measured through the received infrared rays, and the collected information is stored in the information collecting unit.
The wind speed and direction sensor is arranged on the roof of the automobile.
Referring to fig. 4, the temperature and humidity sensor and the particle sensor are respectively disposed at the rearview mirrors at two sides of the automobile.
The power supply in the automobile can supply power for the temperature and humidity sensor and the particulate matter sensor, the power supply can be connected to the main control part of the automobile, external environment information is collected through the temperature and humidity sensor and the particulate matter sensor, and collected data are transmitted to the automobile main control chip to be analyzed and processed.
Referring to fig. 5, VIN + is divided into five paths, one path is connected to the positive electrode of the diode D1, the remaining four paths are connected to VIN-stage through the capacitors C2, C3, C4 and C5, and VIN-stage is grounded through the resistor R2 and the resistor R4; the PWM output pin of the STM32 main control chip is divided into two paths, one path is connected with an emission set of a triode Q2 and a grid electrode of an MOS tube Q1 through a resistor R3, the other path is connected with a base set of the triode Q2, a collector electrode of the triode Q2 is grounded, a drain electrode of the MOS tube Q1 is divided into three paths, one path is connected with a negative electrode of a diode D1 through an inductor L1, the second path is respectively connected with capacitors C8 and 8 LED lamps after passing through a capacitor C6 and an inductor L2 to complete the control of the current flowing through the LEDs, the third path is connected with a resistor R5 and the capacitor C7 and divided into two paths, one path is connected with an inductor L2, the other path is grounded after passing through the diode D2, the other path is respectively connected with capacitors C8 and 8 LED lamps through the resistor R6, a source level of the MOS tube Q1 is grounded, a voltage of 3.573 is connected with a resistor R5 and divided into two paths, one path is grounded, and the other path is connected with.
The method for adjusting the brightness of the automobile headlamp at present is based on the PWM adjusting technology, the voltage of an automobile storage battery fluctuates around 12V, when PWM pulses are in an effective high level or a low level, the input current of an LED is respectively maximum or 0, and the conduction time of the LED is controlled by the duty ratio of the input pulses of a PWM pin. When the current flowing through the head lamp is different, the intensity of the light is changed.
STM32 main control chip adopts ST company's STM32F103ZET6 chip, and sexual valence is than and stability is high, and the abundant expansibility of resource is high. The STM32 main control chip processes and judges the data measured by the information acquisition unit to determine whether the output of the vehicle-mounted lamp of the execution unit is high level or low level, if the output is high level, the output of PWM is correspondingly set to determine the output intensity change of the dipped beam light according to the measured value of visibility; simultaneously turning on a fog lamp and a danger alarm lamp; if the level is low, the light is turned off.
Referring to fig. 6, the method for controlling the lighting of the intelligent automobile with fog on the highway includes the following steps:
s1, starting, initializing the system;
s2, detecting the key, and executing the step S3 if the key is pressed;
s3, detecting the illumination intensity of the surrounding environment and the concentration of the particulate matters;
the visibility sensor and the particulate matter concentration sensor are activated. Through analysis, when the visibility is less than 2000m, the current condition of forming the cluster fog is judged to be met;
s4, detecting the temperature and humidity of the surrounding environment;
starting a temperature and humidity sensor, wherein the system is set to have a meteorological condition that the temperature is-4-30 ℃ and the relative humidity is 85-95%;
s5, detecting the wind speed and the wind direction of the surrounding environment;
and measuring the current wind speed and direction according to a wind speed sensor arranged at the position of the roof of the vehicle, and transmitting the current wind speed and direction to the main controller. When the system sets the formation of the mist, the wind speed is 3 m.s-1Within.
S6, calculating the probability of the current cluster fog;
in order to better judge the current state of the cluster fog, the weight of each factor influencing the severity of the cluster fog can be analyzed by an analytic hierarchy process. And according to a set criterion, performing one-to-one comparison on the factors of the hierarchy.
Such as AiAnd AjComparing, and expressing the relative importance value after comparison as aijThus, a judgment matrix of n multiplied by n orders can be constructed according to the scale, and the weight of the layer factor is obtained through the maximum characteristic root of the judgment matrix and the corresponding orthogonalized characteristic vector.
| Scale | The meaning of explanation |
| Ai:Aj＝1 | AiAnd AjOf equal importance |
| Ai:Aj＝3 | AiRatio AjOf slight importance |
| Ai:Aj＝5 | AiRatio AjOf obvious importance |
| Ai:Aj＝7 | AiRatio AjIs much more important |
| Ai:Aj＝9 | AiRatio AjOf absolute importance |
| Ai:Aj＝2，4，6，8 | Median of two adjacent judgments |
Wherein A is1Representing visibility, A2Denotes relative humidity, A3Denotes the temperature, A4Indicates the wind speed, A5Indicating the wind direction.
A matrix of order 5 x 5 can be constructed from the scale.
The method comprises the following steps:
then its feature vector is:
comparing the measured data with those in the database, and recording as x if the condition of the occurrence of the cloud is satisfiedi1 is ═ 1; not meet the requirements ofCondition, then, it is recorded as xi＝0。
Wherein P is the probability of the occurrence of a cloud, xiFor events meeting the requirements, WiIs the weight of the event.
Stipulating: when the probability P of the cluster fog is more than 80%, the cluster fog forming condition is determined to be met, and the lighting system is executed. In order to prevent measurement errors, the user can set the number of times to perform multiple continuous measurements to judge whether the condition of the mist formation is met.
S7, judging whether the fog cluster exists at present according to the fog cluster occurrence probability P of the step S7, if not, executing a step S3, if so, judging the severity degree according to the visibility, and executing a step S8;
it is known from research that concentration in air can affect current visibility, and scattered light is transmitted in the atmosphere in a scattering way, and the method conforms to Beer-Lambert law:
I＝I0e-σL(1)
wherein, I0Is the light intensity before entering the medium, I is the light intensity projected from the medium, σ is the extinction coefficient, and L is the medium thickness.
If let epsilon be I/I0Then, equation (1) is simplified as:
wherein epsilon is I/I0I.e., the atmospheric transmittance, i.e., the radiation attenuation of the atmospheric target light. If the value is taken as a boundary value of whether the target can be seen or not, namely a human eye resolution contrast threshold value, according to the visibility definition, the corresponding atmospheric medium thickness L is the visibility V or the meteorological optical visual range MOR.
Replacing the medium thickness L with V yields the atmospheric visibility Koschmieder law equation:
wherein V is visibility, and sigma is extinction coefficient; epsilon is a contrast visual threshold value, and the value range is 0.02-0.05. Usually we take it to be 0.02, then
The atmospheric extinction coefficient sigma is the scattering coefficient usAnd absorption coefficient uaThe sum of (1). In foggy weather, the atmospheric extinction coefficient sigma is the scattering coefficient usAnd absorption coefficient uaThe sum of (1). In foggy weather, the scattering coefficient is mainly the molecular scattering coefficient usgScattering coefficient u of particulate matterskAnd scattering coefficient u of gaseous pollutantssq(ii) a The absorption coefficient is mainly determined by the particle absorption coefficient uakAerosol absorption coefficient uawAnd liquid water droplets uahAbsorption coefficient.
us＝usg+usk+usq(4)
ua＝uak+uaw+uah(5)
σ＝ua+us(6)
In the high-speed cluster fog, the extinction coefficient of the high-speed cluster fog is mainly the scattering coefficient and the absorption coefficient of the particulate matter, and by a reference formula (a monitoring video-based highway cluster fog detection algorithm and an early warning process), the relationship between the particulate matter concentration and the atmospheric extinction coefficient is as follows:
where RH is the relative humidity and ρ is the concentration of PM 2.5.
The severity of the cloud was divided into four grades: i.e. heavy fog, medium fog, light fog and no fog; visibility is inversely related to the severity of the cloud; setting as follows:
wherein C is a constant and is set to 2000, G is 0-2, and the fog is judged to be absent; judging the fog to be light fog when G is 2-4; judging the fog to be medium fog when G is 4-10; g is more than 10, and the fog is judged to be heavy; the duty ratio of PWM can be adjusted according to the different severity of group's fog, and then control vehicle headlamps' current size, adjust light luminance.
S8, adjusting the light intensity, and returning to the step S2;
and S9, ending.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. 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 invention.
The design can reflect the information of the current road section in real time to a certain extent. And the design of the key part can lead a user to independently select whether to work in an automatic judgment mode or manually judge, thereby reducing unnecessary loss of devices. And the design of automatic mode, because it has set for a relatively wide scope, has solved to a certain extent that the group fog has regional characteristics, is a relatively more applicable group fog detecting system, and it can independently judge the severity level of group fog moreover to can regulate and control and distribute PWM's duty cycle automatically, and then output the light of different intensity, help the navigating mate to solve the problem of light distribution, improve the security when driving.
TABLE 1 statistical table of mist formation and weather factors
The upper table can be used for more intuitively seeing that when the numerical values are measured by the sensors, the information of the current environment can be obtained through calculation, so that the driver can be helped to independently allocate light, the driver is liberated to a certain extent, and the convenience in driving is improved.
The above-mentioned contents are only for illustrating the technical idea of the present invention, and the protection scope of the present invention is not limited thereby, and any modification made on the basis of the technical idea of the present invention falls within the protection scope of the claims of the present invention.
Claims (10)
1. An intelligent automobile light control system for highway foggy, comprising:
the information acquisition unit is used for acquiring the temperature, humidity, illumination, wind speed and wind direction information of the current road condition by adopting a distributed measurement method and storing the current factor value for forming the cluster fog;
the control unit is used for measuring the acquired data for multiple times and judging whether the measured value of each time meets the condition of forming the cluster mist; judging the severity of the current fog according to the visibility condition;
and the execution unit is used for adjusting the light intensity of the vehicle lamp by adopting PWM (pulse-width modulation) pulses according to the current signal value when the fog forming condition is met.
2. The intelligent automobile light control system for the fog on the expressway as recited in claim 1, wherein the information acquisition unit comprises a visibility sensor, a temperature and humidity sensor, a particulate matter sensor and an air speed and wind direction sensor, the visibility sensor, the temperature and humidity sensor, the particulate matter sensor and the air speed and wind direction sensor are respectively connected with an STM32 main control chip of the control unit through A/D conversion, and the STM32 main control chip is connected with a headlamp of an automobile through a light driving circuit.
3. The intelligent automobile lighting control system for fog on the expressway as recited in claim 2, wherein the visibility sensor has an emitting end disposed on a wire pole of the expressway and connected to an external power supply, and a receiving end disposed on an automobile engine end and connected to an in-vehicle power supply; storing the acquired information in an information acquisition unit; the wind speed and direction sensor is arranged on the roof of the automobile; the temperature and humidity sensor and the particle sensor are respectively arranged at the backing mirrors at the two sides of the automobile.
4. The intelligent automobile light control system for the fog on the expressway according to claim 2, wherein the light driving circuit is specifically:
one path of the VIN + level is connected with the anode of a diode D1, the remaining four paths are respectively connected with the VIN-level through capacitors C2, C3, C4 and C5, and the VIN-level is grounded through a resistor R2 and a resistor R4; the PWM output pin of the STM32 main control chip is divided into two paths, one path is connected with an emission set of a triode Q2 and a grid electrode of an MOS tube Q1 through a resistor R3, the other path is connected with a base set of a triode Q2, a collector electrode of the triode Q2 is grounded, a drain electrode of the MOS tube Q1 is divided into three paths, one path is connected with a negative electrode of a diode D1 through an inductor L1, the second path is respectively connected with capacitors C8 and 8 LED lamps after passing through a capacitor C6 and an inductor L2 to complete the control of the current flowing through the LEDs, the third path is connected with a resistor R5 and a capacitor C7 and then divided into two paths, one path is connected with an inductor L2, the other path is grounded after passing through a diode D2, the other path is respectively connected with capacitors C8 and 8 LED lamps after passing through the resistor R6, 3.3V voltage is connected with a resistor R1 and then divided into two paths, one path is grounded through a capacitor C1.
5. The control method of the intelligent automobile light control system for the fog crowd on the expressway as claimed in claim 1, comprising the steps of:
s1, initializing the system;
s2, detecting the key, and executing the step S3 if the key is pressed;
s3, detecting the illumination intensity and the particulate matter concentration of the surrounding environment of the automobile;
s4, detecting the temperature and humidity of the surrounding environment;
s5, detecting the wind speed and the wind direction of the surrounding environment;
s6, calculating the current probability of the cluster fog;
s7, judging whether the fog exists at present, if not, executing a step S3, if so, judging the severity degree according to the visibility, and executing a step S8;
s8, adjusting the light intensity, and returning to the step S2;
and S9, ending.
6. The method according to claim 5, wherein in step S3, when the visibility is less than 2000m, it is determined that the fog forming condition is currently satisfied.
7. The method as claimed in claim 5, wherein in step S6, the weight of each factor influencing the severity of the cloud is analyzed by using an analytic hierarchy process, a plurality of consecutive measurements are performed, and when the probability of the cloud is greater than 80%, the cloud forming condition is determined to be satisfied, and the light control system is executed.
8. The method according to claim 7, characterized in that the probability of occurrence P of the cloud is in particular:
wherein x isiFor events meeting the requirements, WiIs the weight of the event.
9. The method as claimed in claim 5, wherein in step S7, the severity of the cloud is divided into heavy fog, medium fog, light fog, and no fog; visibility and the severity of the fog are in a reaction relation, PWM duty ratio is adjusted according to different severities of the fog, and the brightness of the light is adjusted by controlling the current of the automobile headlamp.
10. The method according to claim 9, wherein the visibility is in a negative relationship with the severity of the cloud in particular:
wherein C is a constant, RH is relative humidity, rho is concentration of PM2.5, and G is 0-2, and the fog is judged to be absent; judging the fog to be light fog when G is 2-4; judging the fog to be medium fog when G is 4-10; g is more than 10, and the fog is judged to be heavy.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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