CN114590194A - Car headlight intelligence control system based on thing networking - Google Patents
Car headlight intelligence control system based on thing networking Download PDFInfo
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- 206010039203 Road traffic accident Diseases 0.000 description 1
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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 headlamp control system based on the Internet of things, which relates to the technical field of intelligent headlamp control, solves the technical problem that the intelligent control cannot be performed on the automobile headlamp in the prior art, performs intelligent control on the automobile headlamp, improves the safety performance of an automobile in the driving process, reduces the influence of light on the driving of the automobile, and effectively controls the safety risk in the driving process; the real-time vehicle driving process is analyzed, whether intelligent vehicle lamp control is needed in the current driving process or not is judged, the accuracy of intelligent vehicle lamp control is improved, the real-time cost of intelligent vehicle lamp control is effectively controlled, and unnecessary cost in the intelligent vehicle lamp control process is prevented; real-time car light control is carried out on a controlled object, intelligent car light control is improved, the risk that driving is influenced by light during meeting is reduced, and accidents during vehicle running are reduced.
Description
Technical Field
The invention relates to the technical field of intelligent control of headlamps, in particular to an intelligent control system of an automobile headlamp based on the Internet of things.
Background
Statistics show that 90% of traffic accidents are caused by human factors, and dangers are caused by complex traffic conditions, including unreasonable information, excessive stress and the like. The lamp light is the only information carrier for drivers at night and in rainy and foggy weather, and the lamp light can enable people to know traffic conditions more clearly, judge possible dangers and take measures in time. Therefore, intelligent control of the headlights of a vehicle is particularly important during driving of the vehicle.
However, in the prior art, the intelligent control of the automobile headlights cannot be performed, the adverse effect of the light in the driving process cannot be reduced, and meanwhile, the real-time driving process of the automobile cannot be analyzed, so that the current driving cannot determine whether the intelligent control of the headlights is needed, and the accuracy of the control of the automobile lights is reduced.
In view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to solve the problems, and provides an intelligent automobile headlamp control system based on the Internet of things, which is used for intelligently controlling an automobile headlamp, improving the safety performance of the automobile in the driving process, reducing the influence of lamplight on the driving of the automobile and effectively managing and controlling the safety risk in the driving process; the real-time vehicle driving process is analyzed, whether intelligent vehicle lamp control is needed in the current driving process or not is judged, the accuracy of intelligent vehicle lamp control is improved, the real-time cost of intelligent vehicle lamp control is effectively controlled, and unnecessary cost in the intelligent vehicle lamp control process is prevented; real-time car light control is carried out on a controlled object, intelligent car light control is improved, the risk that driving is influenced by light during meeting is reduced, and accidents during vehicle running are reduced.
The purpose of the invention can be realized by the following technical scheme:
the intelligent control system for the automobile headlamp based on the Internet of things comprises an intelligent control platform, wherein a server is arranged in the intelligent control platform, and the server is in communication connection with a safe driving analysis unit, a real-time intelligent control unit, a driving environment setting unit and a road condition environment setting unit;
the intelligent control platform is used for intelligently controlling the automobile headlights, the server generates a safe driving analysis signal and sends the safe driving analysis signal to the safe driving analysis unit, the safe driving analysis unit analyzes the real-time automobile driving process, judges whether the current driving process needs intelligent automobile light control or not, generates an automobile light control signal or an automobile light non-control signal through analysis, and sends the automobile light control signal or the automobile light non-control signal to the server; after receiving the car lamp control signal, the server generates a real-time intelligent control signal and sends the real-time intelligent control signal to the real-time intelligent control unit, and the real-time intelligent control unit controls the car lamp of the controlled object in real time; the server generates a driving environment setting signal and sends the driving environment setting signal to the driving environment setting unit, and the driving environment setting unit sets the driving environment for intelligent control of the vehicle lamp; the server generates a road condition environment setting signal and sends the road condition environment setting signal to the road condition environment setting unit, and the road condition environment setting unit sets the road condition environment for intelligent control of the vehicle lamp.
As a preferred embodiment of the present invention, the safe driving analysis process of the safe driving analysis unit is as follows:
marking a vehicle monitored in real time as a monitoring object, setting a mark i as a natural number more than 1, acquiring the illuminance of the surrounding environment of the monitoring object, setting an illuminance threshold value, marking the corresponding time period as a light-requiring time period when the illuminance of the surrounding environment does not reach the illuminance threshold value, and marking the corresponding time period as a light-unnecessary time period when the illuminance of the surrounding environment reaches the illuminance threshold value;
acquiring a difference value between the illuminance of the monitoring object vehicle lamp and the illuminance of the surrounding environment in a light-requiring time period; acquiring the number of running vehicles around a monitoring object and the change frequency of the lamp illumination angle of the corresponding running vehicle in a light-requiring time period; the safe driving analysis coefficient Xi of the monitored object is obtained through analysis, and compared with a safe driving analysis coefficient threshold value: if the safe driving analysis coefficient Xi of the monitored object exceeds the safe driving analysis coefficient threshold, judging that the monitored object needs light control, marking the corresponding monitored object as a control object, generating a vehicle light control signal and sending the vehicle light control signal to a server; and if the safe driving analysis coefficient Xi of the monitored object does not exceed the safe driving analysis coefficient threshold, judging that the monitored object does not need light control, generating a light non-control signal and sending the light non-control signal to the server.
As a preferred embodiment of the present invention, the intelligent control process of the real-time intelligent control unit is as follows:
analyzing the driving process of the control object, taking the lamp light of the control object as a critical line when the control object drives on a horizontal road, and when the driving road of the control object is not the horizontal road and the control object corresponds to an oncoming vehicle on the horizontal road, calibrating the corresponding control object as an influence generating object and calibrating the oncoming vehicle as an influenced object; when the driving road of the control object is not a horizontal road and the control object corresponding to the oncoming vehicle is not on the horizontal road, marking the corresponding control object as a generated and influenced object and marking the oncoming vehicle as a non-generated and influenced object;
when the control object is an influence generating object and the oncoming vehicle is an influenced object, if the control object is in a downhill relative to the oncoming vehicle, the angle between the lamp light of the control object and the critical line is enlarged, the state of the light beam corresponding to the lamp is controlled to be in a divergent state, and meanwhile, the state of the light beam of the control object is controlled to be in a convergent state when the vehicle is not in the highest point of the road; if the control object is uphill relative to the oncoming vehicle, when the control object is not positioned at the highest point of the road, the angle between the lamp light of the control object and the critical line is enlarged, the state of the light beam corresponding to the lamp is controlled to be in a divergent state, and meanwhile, when the vehicle is positioned at the highest point of the road, the state of the light beam is controlled to be in a convergent state;
when the control object is a generated and influenced object and the oncoming vehicle is not generated and influenced object, if the control object is in a downhill relative to the oncoming vehicle, setting the state of the light beam of the headlight of the oncoming vehicle to be in a divergent state when the control object is at the highest point of the road, and setting the state of the light beam of the control object to be in a convergent state when the vehicle is not at the highest point of the road; if the control object is in an uphill relative to the oncoming vehicle, when the control object is not located at the highest point of the road, the state of the light beam corresponding to the lamp of the control object is controlled to be in a divergent state, the state of the light beam of the oncoming vehicle is set to be in a divergent state, and when the control object is located at the highest point of the road, the state of the light beam of the lamp of the control object and the state of the light beam of the lamp of the oncoming vehicle are both set to be in a convergent state.
As a preferred embodiment of the present invention, the running environment setting process by the running environment setting unit is as follows:
analyzing a driving environment of the monitoring object in the light demand time period, acquiring the ramp continuous frequency of the real-time driving road of the monitoring object and the average angle of the ramp corresponding to the real-time driving road in the light demand time period, and comparing the ramp continuous frequency of the real-time driving road of the monitoring object and the average angle of the ramp corresponding to the real-time driving road in the light demand time period with a ramp continuous frequency threshold and an average angle threshold respectively:
if the ramp continuous frequency of the real-time driving road of the monitored object exceeds the ramp continuous frequency threshold value within the light-requiring time period or the average angle of the corresponding ramp of the real-time driving road exceeds the average angle threshold value, marking the corresponding real-time driving environment as the driving environment to be controlled, generating a control signal and sending the control signal and the corresponding parameter of the driving environment to be controlled to the server;
if the ramp continuous frequency of the real-time driving road of the monitoring object does not exceed the ramp continuous frequency threshold value within the light-requiring time period and the average angle of the corresponding ramp of the real-time driving road does not exceed the average angle threshold value, marking the corresponding real-time driving environment as a non-control driving environment, generating a control signal and sending the control signal and the corresponding parameters of the non-control driving environment to the server together.
As a preferred embodiment of the present invention, the road condition setting process of the road condition setting unit is as follows:
analyzing the road condition and environment of the monitoring object in the light demand time period, acquiring the vehicle meeting frequency of the monitoring object in the light demand time period and the average illuminance of the running road of the monitoring object in the light demand time period, and comparing the vehicle meeting frequency of the monitoring object in the light demand time period and the average illuminance of the running road of the monitoring object in the light demand time period with a vehicle meeting frequency threshold and a road average illuminance threshold respectively:
if the vehicle meeting frequency of the monitoring object in the light-requiring time period exceeds the vehicle meeting frequency threshold value, or the average illuminance of the running road of the monitoring object in the light-requiring time period does not exceed the average illuminance threshold value of the road, marking the corresponding road condition environment as the road condition environment to be controlled, generating a control signal and sending the control signal and the corresponding parameter of the road condition environment to be controlled to the server; when the intelligent control platform monitors the vehicle, if the corresponding parameters of the real-time road condition environment reach the road condition environment to be controlled, generating an intelligent control instruction and sending the intelligent control instruction to the real-time intelligent control unit;
if the vehicle meeting frequency of the monitoring object in the light-requiring time period does not exceed the vehicle meeting frequency threshold value, and the average illuminance of the running road of the monitoring object in the light-requiring time period exceeds the average illuminance threshold value of the road, marking the corresponding running environment as a road condition environment which does not need to be controlled, generating a non-control signal, and sending the non-control signal and the corresponding parameters of the road condition environment which does not need to be controlled to the server.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the intelligent control system and the intelligent control method, the automobile headlamp is intelligently controlled, so that the safety performance of an automobile in the driving process is improved, the influence of lamplight on the driving of the automobile is reduced, and the safety risk in the driving process is effectively controlled; the real-time vehicle driving process is analyzed, whether intelligent vehicle lamp control is needed in the current driving process or not is judged, the accuracy of intelligent vehicle lamp control is improved, the real-time cost of intelligent vehicle lamp control is effectively controlled, and unnecessary cost in the intelligent vehicle lamp control process is prevented; real-time car light control is carried out on a controlled object, so that intelligent car light control is improved, the risk that the driving is influenced by the light during meeting is reduced, and the occurrence of accidents during the running of the car is reduced;
2. according to the intelligent control system and the intelligent control method, the running environment is set for the intelligent control of the car lamp, and when the real-time running environment is the set running environment, the car lamp is intelligently controlled, so that the comprehensiveness of the intelligent control of the car lamp is improved, the risk that the car is influenced by the light during running is effectively reduced, the intelligent performance of the car lamp control is enhanced, and the use quality of a car owner is enhanced; carry out road conditions environment to car light intelligent control and set for, when the road conditions environment of peripheral road conditions environment for the road conditions environment of setting for, then the car light carries out intelligent control, prevents that the car light control from untimely leading to intelligent control efficiency to reduce appearing.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.
Referring to fig. 1, the intelligent control system for the automobile headlamp based on the internet of things comprises an intelligent control platform, wherein a server is arranged in the intelligent control platform, and the server is in communication connection with a safe driving analysis unit, a real-time intelligent control unit, a driving environment setting unit and a road condition environment setting unit; the system comprises a server, a safety driving analysis unit, a real-time intelligent control unit, a driving environment setting unit and a road condition environment setting unit, wherein the server is in bidirectional communication connection with the safety driving analysis unit, the real-time intelligent control unit, the driving environment setting unit and the road condition environment setting unit;
the intelligent control platform is used for carrying out intelligent control to the car headlight, improve the security performance of car driving in-process, it receives the influence of light to reduce the car and travel, effectively carry out the management and control to the safe risk of driving in-process, the server generates safe driving analytic signal and sends safe driving analytic signal to safe driving analytic unit, safe driving analytic unit is used for carrying out the analysis to real-time vehicle driving process, judge whether current driving process need carry out car light intelligent control, the accuracy of car light intelligent control has been improved, the real-time cost of effective control car light intelligent control, prevent that the unnecessary cost of car light intelligent control in-process from producing, concrete safe driving analytic process is as follows:
marking a vehicle monitored in real time as a monitoring object, setting a mark i as a natural number more than 1, acquiring the illuminance of the surrounding environment of the monitoring object, setting an illuminance threshold value, marking the corresponding time period as a light-requiring time period when the illuminance of the surrounding environment does not reach the illuminance threshold value, and marking the corresponding time period as a light-unnecessary time period when the illuminance of the surrounding environment reaches the illuminance threshold value;
acquiring the difference value between the illuminance of the monitoring object vehicle lamp and the illuminance of the surrounding environment in the light demand time period, and marking the difference value between the illuminance of the monitoring object vehicle lamp and the illuminance of the surrounding environment in the light demand time period as CZi; acquiring the number of running vehicles around the monitoring object and the change frequency of the lamp irradiation angle of the corresponding running vehicle in the light demand time period, and respectively marking the number of running vehicles around the monitoring object and the change frequency of the lamp irradiation angle of the corresponding running vehicle in the light demand time period as SLi and PLi; in the application, the angle of the lamp can be changed along with the change of the driving type in the driving process of the vehicle, namely, the lamp light influence is easily generated during meeting when the road is not flat;
by the formula
Acquiring a safe driving analysis coefficient Xi of a monitored object, wherein a1, a2 and a3 are all preset proportionality coefficients, and a1 is more than a2 is more than a3 is more than 0;
comparing the safe driving analysis coefficient Xi of the monitored object with a safe driving analysis coefficient threshold value:
if the safe driving analysis coefficient Xi of the monitored object exceeds the safe driving analysis coefficient threshold, judging that the monitored object needs light control, marking the corresponding monitored object as a control object, generating a vehicle light control signal and sending the vehicle light control signal to a server; if the safe driving analysis coefficient Xi of the monitored object does not exceed the safe driving analysis coefficient threshold, judging that the monitored object does not need light control, generating a light non-control signal and sending the light non-control signal to a server;
after the server receives car light control signal, generate real-time intelligent control signal and send real-time intelligent control signal to real-time intelligent control unit, real-time intelligent control unit is used for carrying out real-time car light control to the control object, has improved car light intelligent control, and the risk that light influences the driving when reducing the meeting reduces the emergence of accident in the vehicle traveles, and concrete intelligent control process is as follows:
analyzing the driving process of the control object, taking the lamp light of the control object as a critical line when the control object drives on a horizontal road, and when the driving road of the control object is not the horizontal road and the control object corresponds to an oncoming vehicle on the horizontal road, calibrating the corresponding control object as an influence generating object and calibrating the oncoming vehicle as an influenced object; when the driving road of the control object is not a horizontal road and the control object corresponding to the oncoming vehicle is not on the horizontal road, marking the corresponding control object as a generated and influenced object and marking the oncoming vehicle as a non-generated and influenced object;
when the control object is an influence generating object and the oncoming vehicle is an influenced object, if the control object is in a downhill relative to the oncoming vehicle, the angle between the lamp light of the control object and the critical line is enlarged, the state of the light beam corresponding to the lamp is controlled to be in a divergent state, and meanwhile, the state of the light beam of the control object is controlled to be in a convergent state when the vehicle is not in the highest point of the road; if the control object is uphill relative to the oncoming vehicle, when the control object is not positioned at the highest point of the road, the angle between the lamp light of the control object and the critical line is enlarged, the state of the light beam corresponding to the lamp is controlled to be in a divergent state, and meanwhile, when the vehicle is positioned at the highest point of the road, the state of the light beam is controlled to be in a convergent state;
when the control object is a generated and influenced object and the oncoming vehicle is not generated and influenced object, if the control object is in a downhill relative to the oncoming vehicle, setting the state of the light beam of the headlight of the oncoming vehicle to be in a divergent state when the control object is at the highest point of the road, and setting the state of the light beam of the control object to be in a convergent state when the vehicle is not at the highest point of the road; if the control object is uphill relative to the oncoming vehicle, when the control object is not positioned at the highest point of the road, the state of the light beam corresponding to the vehicle lamp of the control object is controlled to be in a divergent state, the state of the light beam of the vehicle lamp of the oncoming vehicle is set to be in a divergent state, and when the control object is positioned at the highest point of the road, the state of the light beam of the vehicle lamp of the control object and the state of the light beam of the vehicle lamp of the oncoming vehicle are both set to be in a convergent state; according to the method, the lighting control is carried out when the monitored objects meet, the driving is influenced by the lighting due to different road types of meeting vehicles in the meeting process, the road types comprise an ascending slope and a descending slope, and the lighting control can be carried out on the oncoming vehicles and the controlled objects; the function of enlarging the light angle is to prevent the light from directly irradiating the driver by changing the light angle, so that the driving process is influenced by the light;
the server generates the environment of traveling and sets for the signal and will travel the environment and set for signal transmission and set for the unit to the environment of traveling, the environment of traveling sets for the setting to car light intelligent control, when the environment of traveling for setting for in real time, then carry out intelligent control with the car light, car light intelligent control's comprehensiveness has been improved, effectively reduce the risk that the vehicle traveles and receives light influence, the intelligent performance of reinforcing car light control, the quality of use of reinforcing car owner, the environment of specifically traveling sets for the process as follows:
analyzing a driving environment of the monitoring object in the light demand time period, acquiring the ramp continuous frequency of the real-time driving road of the monitoring object and the average angle of the ramp corresponding to the real-time driving road in the light demand time period, and comparing the ramp continuous frequency of the real-time driving road of the monitoring object and the average angle of the ramp corresponding to the real-time driving road in the light demand time period with a ramp continuous frequency threshold and an average angle threshold respectively:
if the ramp continuous frequency of the real-time driving road of the monitored object exceeds the ramp continuous frequency threshold value within the light-requiring time period or the average angle of the corresponding ramp of the real-time driving road exceeds the average angle threshold value, marking the corresponding real-time driving environment as the driving environment to be controlled, generating a control signal and sending the control signal and the corresponding parameter of the driving environment to be controlled to the server together, and when the intelligent control platform monitors the vehicle, if the corresponding parameter of the real-time driving environment reaches the driving environment to be controlled, generating an intelligent control instruction and sending the intelligent control instruction to the real-time intelligent control unit; if the ramp continuous frequency of the real-time driving road of the monitoring object does not exceed the ramp continuous frequency threshold value within the light-requiring time period and the average angle of the corresponding ramp of the real-time driving road does not exceed the average angle threshold value, marking the corresponding real-time driving environment as a non-control driving environment, generating a control signal and sending the control signal and the corresponding parameter of the non-control driving environment to the server together;
the server generates road condition environment setting signal and sets for the signal with road condition environment and send to road condition environment setting unit, and road condition environment setting unit is used for carrying out the road condition environment setting to car light intelligent control, when the road condition environment of peripheral road condition environment for setting for, then the car light carries out intelligent control, leads to intelligent control efficiency to reduce when preventing that car light control is untimely, and concrete road condition environment setting process is as follows:
analyzing the road condition and environment of the monitoring object in the light demand time period, acquiring the vehicle meeting frequency of the monitoring object in the light demand time period and the average illuminance of the running road of the monitoring object in the light demand time period, and comparing the vehicle meeting frequency of the monitoring object in the light demand time period and the average illuminance of the running road of the monitoring object in the light demand time period with a vehicle meeting frequency threshold and a road average illuminance threshold respectively:
if the vehicle meeting frequency of the monitoring object in the light-requiring time period exceeds the vehicle meeting frequency threshold value, or the average illuminance of the running road of the monitoring object in the light-requiring time period does not exceed the average illuminance threshold value of the road, marking the corresponding road condition environment as the road condition environment to be controlled, generating a control signal and sending the control signal and the corresponding parameter of the road condition environment to be controlled to the server; when the intelligent control platform monitors the vehicle, if the corresponding parameters of the real-time road condition environment reach the road condition environment to be controlled, generating an intelligent control instruction and sending the intelligent control instruction to the real-time intelligent control unit;
if the vehicle meeting frequency of the monitoring object in the light-requiring time period does not exceed the vehicle meeting frequency threshold value, and the average illuminance of the running road of the monitoring object in the light-requiring time period exceeds the average illuminance threshold value of the road, marking the corresponding running environment as a road condition environment which does not need to be controlled, generating a non-control signal, and sending the non-control signal and the corresponding parameters of the road condition environment which does not need to be controlled to the server.
The formulas are all obtained by acquiring a large amount of data and performing software simulation, and a formula close to a true value is selected, and coefficients in the formulas are set by a person skilled in the art according to actual conditions;
when the intelligent control system is used, the intelligent control platform is used for intelligently controlling the automobile headlights, the safe driving analysis unit is used for analyzing the real-time automobile driving process, judging whether the current driving process needs to be intelligently controlled, generating an automobile light control signal or an automobile light non-control signal through analysis, and sending the automobile light control signal or the automobile light non-control signal to the server; real-time car lamp control is carried out on a control object through a real-time intelligent control unit; the server generates a driving environment setting signal and sends the driving environment setting signal to the driving environment setting unit, and the driving environment setting unit sets the driving environment for intelligent control of the vehicle lamp; the server generates a road condition environment setting signal and sends the road condition environment setting signal to the road condition environment setting unit, and the road condition environment setting unit sets the road condition environment for intelligent control of the vehicle lamp.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (5)
1. The intelligent automobile headlamp control system based on the Internet of things is characterized by comprising an intelligent control platform, wherein a server is arranged in the intelligent control platform, and the server is in communication connection with a safe driving analysis unit, a real-time intelligent control unit, a driving environment setting unit and a road condition environment setting unit;
the intelligent control platform is used for intelligently controlling the automobile headlights, the server generates a safe driving analysis signal and sends the safe driving analysis signal to the safe driving analysis unit, the safe driving analysis unit analyzes the real-time automobile driving process, judges whether the current driving process needs intelligent automobile light control or not, generates an automobile light control signal or an automobile light non-control signal through analysis, and sends the automobile light control signal or the automobile light non-control signal to the server; after receiving the car lamp control signal, the server generates a real-time intelligent control signal and sends the real-time intelligent control signal to the real-time intelligent control unit, and the real-time intelligent control unit controls the car lamp of the controlled object in real time; the server generates a driving environment setting signal and sends the driving environment setting signal to the driving environment setting unit, and the driving environment setting unit sets the driving environment for intelligent control of the vehicle lamp; the server generates a road condition environment setting signal and sends the road condition environment setting signal to the road condition environment setting unit, and the road condition environment setting unit sets the road condition environment for intelligent control of the vehicle lamp.
2. The intelligent control system for automobile headlights based on internet of things as claimed in claim 1, wherein the safe driving analysis process of the safe driving analysis unit is as follows:
marking a vehicle monitored in real time as a monitoring object, setting a mark i as a natural number more than 1, acquiring the illuminance of the surrounding environment of the monitoring object, setting an illuminance threshold value, marking the corresponding time period as a light-requiring time period when the illuminance of the surrounding environment does not reach the illuminance threshold value, and marking the corresponding time period as a light-unnecessary time period when the illuminance of the surrounding environment reaches the illuminance threshold value;
acquiring a difference value between the illuminance of the monitoring object vehicle lamp and the illuminance of the surrounding environment in a light-requiring time period; acquiring the number of running vehicles around a monitoring object and the change frequency of the lamp illumination angle of the corresponding running vehicle in a light-requiring time period; the safe driving analysis coefficient Xi of the monitored object is obtained through analysis, and compared with a safe driving analysis coefficient threshold value: if the safe driving analysis coefficient Xi of the monitored object exceeds the safe driving analysis coefficient threshold, judging that the monitored object needs light control, marking the corresponding monitored object as a control object, generating a vehicle light control signal and sending the vehicle light control signal to a server; and if the safe driving analysis coefficient Xi of the monitored object does not exceed the safe driving analysis coefficient threshold, judging that the monitored object does not need light control, generating a light non-control signal and sending the light non-control signal to the server.
3. The intelligent control system for the automobile headlights based on the internet of things as claimed in claim 1, wherein the intelligent control process of the real-time intelligent control unit is as follows:
analyzing the driving process of the control object, taking the lamp light of the control object as a critical line when the control object drives on a horizontal road, and when the driving road of the control object is not the horizontal road and the control object corresponds to an oncoming vehicle on the horizontal road, calibrating the corresponding control object as an influence generating object and calibrating the oncoming vehicle as an influenced object; when the driving road of the control object is not a horizontal road and the control object corresponding to the oncoming vehicle is not on the horizontal road, marking the corresponding control object as a generated and influenced object and marking the oncoming vehicle as a non-generated and influenced object;
when the control object is an influence generating object and the oncoming vehicle is an influenced object, if the control object is in a downhill relative to the oncoming vehicle, the angle between the lamp light of the control object and the critical line is enlarged, the state of the light beam corresponding to the lamp is controlled to be in a divergent state, and meanwhile, the state of the light beam of the control object is controlled to be in a convergent state when the vehicle is not in the highest point of the road; if the control object is uphill relative to the oncoming vehicle, when the control object is not positioned at the highest point of the road, the angle between the lamp light of the control object and the critical line is enlarged, the state of the light beam corresponding to the lamp is controlled to be in a divergent state, and meanwhile, when the vehicle is positioned at the highest point of the road, the state of the light beam is controlled to be in a convergent state;
when the control object is a generated and influenced object and the oncoming vehicle is not generated and influenced object, if the control object is in a downhill relative to the oncoming vehicle, setting the state of the light beam of the headlight of the oncoming vehicle to be in a divergent state when the control object is at the highest point of the road, and setting the state of the light beam of the control object to be in a convergent state when the vehicle is not at the highest point of the road; if the control object is in an uphill relative to the oncoming vehicle, when the control object is not located at the highest point of the road, the state of the light beam corresponding to the lamp of the control object is controlled to be in a divergent state, the state of the light beam of the oncoming vehicle is set to be in a divergent state, and when the control object is located at the highest point of the road, the state of the light beam of the lamp of the control object and the state of the light beam of the lamp of the oncoming vehicle are both set to be in a convergent state.
4. The intelligent control system for automobile headlights based on internet of things as claimed in claim 1, wherein the driving environment setting process of the driving environment setting unit is as follows:
analyzing a driving environment of the monitoring object in the light demand time period, acquiring the ramp continuous frequency of the real-time driving road of the monitoring object and the average angle of the ramp corresponding to the real-time driving road in the light demand time period, and comparing the ramp continuous frequency of the real-time driving road of the monitoring object and the average angle of the ramp corresponding to the real-time driving road in the light demand time period with a ramp continuous frequency threshold and an average angle threshold respectively:
if the ramp continuous frequency of the real-time driving road of the monitored object exceeds the ramp continuous frequency threshold value within the light-requiring time period or the average angle of the corresponding ramp of the real-time driving road exceeds the average angle threshold value, marking the corresponding real-time driving environment as the driving environment to be controlled, generating a control signal and sending the control signal and the corresponding parameter of the driving environment to be controlled to the server;
if the ramp continuous frequency of the real-time driving road of the monitoring object does not exceed the ramp continuous frequency threshold value within the light-requiring time period and the average angle of the corresponding ramp of the real-time driving road does not exceed the average angle threshold value, marking the corresponding real-time driving environment as a non-control driving environment, generating a control signal and sending the control signal and the corresponding parameters of the non-control driving environment to the server together.
5. The intelligent control system for the automobile headlights based on the internet of things as claimed in claim 1, wherein the road condition setting process of the road condition setting unit is as follows:
analyzing the road condition and environment of the monitoring object in the light demand time period, acquiring the vehicle meeting frequency of the monitoring object in the light demand time period and the average illuminance of the running road of the monitoring object in the light demand time period, and comparing the vehicle meeting frequency of the monitoring object in the light demand time period and the average illuminance of the running road of the monitoring object in the light demand time period with a vehicle meeting frequency threshold and a road average illuminance threshold respectively:
if the vehicle meeting frequency of the monitoring object in the light-requiring time period exceeds a vehicle meeting frequency threshold value, or the average illuminance of a running road of the monitoring object in the light-requiring time period does not exceed a road average illuminance threshold value, marking the corresponding road condition environment as a road condition environment to be controlled, generating a control signal and sending the control signal and corresponding parameters of the road condition environment to be controlled to a server; when the intelligent control platform monitors the vehicle, if the corresponding parameters of the real-time road condition environment reach the road condition environment to be controlled, generating an intelligent control instruction and sending the intelligent control instruction to the real-time intelligent control unit;
if the vehicle meeting frequency of the monitoring object in the light-requiring time period does not exceed the vehicle meeting frequency threshold value, and the average illuminance of the running road of the monitoring object in the light-requiring time period exceeds the average illuminance threshold value of the road, marking the corresponding running environment as a road condition environment which does not need to be controlled, generating a non-control signal, and sending the non-control signal and the corresponding parameters of the road condition environment which does not need to be controlled to the server.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210057347.4A CN114590194A (en) | 2022-01-19 | 2022-01-19 | Car headlight intelligence control system based on thing networking |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210057347.4A CN114590194A (en) | 2022-01-19 | 2022-01-19 | Car headlight intelligence control system based on thing networking |
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| CN114590194A true CN114590194A (en) | 2022-06-07 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114954210A (en) * | 2022-06-23 | 2022-08-30 | 淮阴师范学院 | Intelligent steering AFS control system for automobile headlamp |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114954210A (en) * | 2022-06-23 | 2022-08-30 | 淮阴师范学院 | Intelligent steering AFS control system for automobile headlamp |
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