CN113033981A - Motor vehicle air pollution regulation and control system and method based on cross-mode technology - Google Patents
Motor vehicle air pollution regulation and control system and method based on cross-mode technology Download PDFInfo
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Abstract
The invention relates to the technical field of artificial intelligence and cross-modal, and discloses a motor vehicle air pollution regulation and control system based on a cross-modal technology, which comprises an algorithm embedded module and an equipment external module, wherein the output end of the algorithm embedded module is in signal connection with the input end of a video data module of a main traffic line in the city, the output end of the video data module of the main traffic line in the city is in signal connection with the input end of a license plate recognition system, the input end of a vehicle type recognition system and the input end of a tail gas recognition system respectively, and the output end of the tail gas recognition system is in signal connection with the input ends of black smoke index modules of all mobile units. The motor vehicle air pollution regulation and control system and method based on the cross-modal technology make more objective comprehensive evaluation aiming at a target individual, comprehensively judge whether the vehicle is a black smoke vehicle or not, and eliminate the phenomena of 'missed grabbing' and 'mistaken grabbing' caused by visual errors caused by factors such as human means, external environment, light angle and the like by means of an intelligent algorithm.
Description
Technical Field
The invention relates to the technical field of artificial intelligence and cross-modal, in particular to a motor vehicle air pollution regulation and control system and method based on a cross-modal technology.
Background
Nowadays, environmental protection is increasingly becoming a social serious problem, with the dramatic increase of the quantity of automobile reserves in cities, exhaust emission becomes a large pollution source of urban air, the pollution of automobile exhaust to the atmosphere is more concerned by people, at present, a part of related parts set up strict standards for the emission of automobile exhaust, but the problem of how to monitor the automobile which emits illegal exhaust emission is a new problem; on the other hand, when the automobile runs, whether the exhaust gas emitted by the automobile is normal or not directly reflects the running state of the automobile power system. The normal emission of the tail gas of the fuel vehicle is an obvious sign for the good running of an automobile power system, so that the normal emission of the tail gas of the vehicle is ensured, and the normal emission of the tail gas of the fuel vehicle is not only the requirement of environmental protection, but also the reliable guarantee of the good running of the vehicle. The invention utilizes artificial intelligence and cross-modal technology to automatically and effectively monitor the automobile exhaust emission condition on the road in real time, and once vehicles which discharge tail gas in violation are found, the structural information of the vehicles in violation, such as license plates, vehicle types, vehicle ages, vehicle owners and the like, can be immediately stored.
Disclosure of Invention
The invention aims to provide a motor vehicle air pollution regulation and control system and method based on a cross-modal technology, and solves the problems brought forward by the background.
In order to achieve the purpose, the invention provides the following technical scheme: a motor vehicle air pollution regulation and control system based on cross-modal technology comprises an algorithm embedded module and an equipment external module, wherein the output end of the algorithm embedded module is in signal connection with the input end of a city main traffic line video data module, the output end of the city main traffic line video data module is in signal connection with the input end of a license plate recognition system, the input end of a vehicle type recognition system and the input end of a tail gas recognition system respectively, the output end of the tail gas recognition system is in signal connection with the input end of a black smoke index module of each mobile unit, the output end of the black smoke index module of each mobile unit is in signal connection with the input end of a vehicle behavior sketch retrieval system, the output end of the vehicle behavior sketch retrieval system is in signal connection with the input end of a suspicious vehicle behavior sketch/data module, the output end of the suspicious vehicle behavior sketch/data module is in signal connection with the output end of a comprehensive evaluation system, the output end of the comprehensive evaluation system is in signal connection with the input end of the suspicious black smoke vehicle data summarizing module;
the output end of the external equipment connecting module is in signal connection with the input end of the equipment acquisition module, the output end of the equipment acquisition module is in signal connection with the input end of the video storage equipment, the output end of the video storage equipment is in input end type connection with the data transmission network unit, and the output end of the data transmission network unit is in signal connection with the output end of the algorithm embedding module.
Preferably, the output end of the license plate recognition system is in signal connection with the input end of the basic information module of each mobile unit, and the license plate recognition system can look at the license plate number of each mobile unit in the bottle data and retrieve corresponding vehicle information.
Preferably, the output end of the vehicle type recognition system is in signal connection with the input end of the basic information module of each mobile unit, so that the vehicle type information of each mobile unit in the video data can be recognized.
Preferably, the output end of the basic information module of each mobile unit is in signal connection with the input end of the black smoke risk judgment system, the output end of the black smoke risk judgment system is in signal connection with the input end of the risk index module of each mobile unit, and the output end of the risk index module of each mobile unit is in signal connection with the input end of the vehicle behavior portrait retrieval system.
Preferably, the input end of the equipment acquisition module is in signal connection with the output end of the road environment light supplement device.
Preferably, the output end of the algorithm embedding module is respectively in signal connection with the input end of the basic information module of each mobile unit and the input end of the black smoke index module of each mobile unit, and the output end of the basic information module of each mobile unit is in signal connection with the input end of the vehicle behavior and exhaust emission bidirectional pre-judging system.
Preferably, the output end of the bidirectional pre-judging system for vehicle behavior exhaust emission is in signal connection with the output end of the traffic variable planning system, the input end of the traffic variable planning system is in signal connection with the output end of the black smoke index module of each mobile unit, the output end of the traffic variable planning system is in signal connection with the input end of the dynamic information module for vehicle behavior and traffic signals, and the other input end of the traffic variable planning system is in signal connection with the output end of the global geographical environment planning data module.
A motor vehicle air pollution regulation and control method based on a cross-mode technology comprises the following steps:
s1: the method comprises the steps that basic information of each mobile unit can be obtained through a license plate recognition system, a vehicle type recognition system and a tail gas recognition system of a video data module of a main traffic route in the city, the black smoke risk of each mobile unit is judged through a set black smoke risk judgment system according to the basic information of each mobile unit, objective risk values of each mobile unit are given according to factors such as vehicle models, vehicle types, historical accident information and speeds, whether the mobile unit is tracked or not is judged according to a black smoke index module of each mobile unit and a risk index of each mobile unit, all-day video data of the tracked motor vehicle are obtained, the overall track of the motor vehicle is obtained through a cross-modal content understanding technology, and all-weather tail gas images of the motor vehicle are integrated in a time-place-speed-black smoke index mode to form, according to the whole-course information of the tracked motor vehicle, whether the vehicle is a black smoke vehicle or not can be judged through the set comprehensive evaluation system;
s2: the self-service assembled tail gas monitoring related equipment can be additionally arranged aiming at the area with insufficient resources through the arranged equipment external module;
s3: the city can be modeled for omnibearing city variables by the aid of the arranged algorithm embedded module, a dynamic controllable variable regulation and control system is formed, and macroscopic variable regulation and control are performed by taking the tail gas reduction degree of the whole city range as a global objective function.
The invention provides a motor vehicle air pollution regulation and control system and method based on a cross-modal technology. The motor vehicle air pollution regulation and control system and method based on the cross-modal technology have the following beneficial effects:
(1) the motor vehicle air pollution regulation and control system and method based on the cross-modal technology fully utilize the existing data resources in the city range, reduce the secondary construction cost and form a recyclable and expandable algorithm module;
(2) the motor vehicle air pollution regulation and control system and method based on the cross-modal technology make more objective comprehensive evaluation aiming at a target individual, comprehensively judge whether the vehicle is a black smoke vehicle or not, and eliminate the phenomena of 'missed grabbing' and 'mistaken grabbing' caused by visual errors caused by factors such as human means, external environment, light angle and the like by means of an intelligent algorithm;
(3) the motor vehicle air pollution regulation and control system and method based on the cross-modal technology have the advantages that defects are checked and leakage is repaired at low cost, hardware equipment is built only for the area which cannot be fully covered by the existing data resources, and the cost performance is high;
(4) the motor vehicle air pollution regulation and control system and method based on the cross-modal technology fully call peripheral resources, enable all plates to share the resources, assist effects aiming at specific targets, and carry through the idea of interconnecting everything of a smart city.
Drawings
FIG. 1 is a schematic diagram of the flow structure of an algorithm embedded module according to the present invention;
FIG. 2 is a schematic view of the flow structure of the external module of the device of the present invention.
In the figure: 1 algorithm embedded module, 2 city main traffic line video data module, 3 license plate recognition system, 4 vehicle type recognition system, 5 tail gas recognition system, 6 basic information module of each mobile unit, 7 black smoke risk judgment system, 8 risk index module of each mobile unit, 9 black smoke index module of each mobile unit, 10 vehicle behavior figure retrieval system, 11 suspicious vehicle behavior figure/data module, 12 comprehensive evaluation system, 13 suspicious black smoke vehicle data summarization module, 14 equipment external module, 15 equipment acquisition module, 16 video storage equipment, 17 road environment light supplement device, 18 data transmission network unit, 19 algorithm embedded module, 20 vehicle behavior and tail gas emission bidirectional prejudging system, 21 traffic variable planning system, 22 vehicle behavior traffic signal dynamic information module and 23 city-wide geographical environment planning data module.
Detailed Description
As shown in fig. 1-2, the present invention provides a technical solution: a motor vehicle air pollution regulation and control system based on cross-modal technology comprises an algorithm embedded module 1 and an equipment external connection module 14, wherein the output end of the algorithm embedded module 1 is in signal connection with the input end of a city main traffic line video data module 2, the output end of the city main traffic line video data module 2 is respectively in signal connection with the input end of a license plate recognition system 3, the input end of a vehicle type recognition system 4 and the input end of a tail gas recognition system 5, the output end of the license plate recognition system 3 is in signal connection with the input end of a basic information module 6 of each mobile unit, the output end of the vehicle type recognition system 4 is in signal connection with the input end of the basic information module 6 of each mobile unit, the output end of the basic information module 6 of each mobile unit is in signal connection with the input end of a black smoke risk judgment system 7, the output end of the black smoke risk judgment system 7 is in signal connection with the input end of a, the output end of the risk index module 8 of each mobile unit is in signal connection with the input end of a vehicle behavior picture retrieval system 10, the output end of the tail gas identification system 5 is in signal connection with the input end of the black smoke index module 9 of each mobile unit, the output end of the black smoke index module 9 of each mobile unit is in signal connection with the input end of the vehicle behavior picture retrieval system 10, the output end of the vehicle behavior picture retrieval system 10 is in signal connection with the input end of a suspicious vehicle behavior picture/data module 11, the output end of the suspicious vehicle behavior picture/data module 11 is in signal connection with the output end of a comprehensive evaluation system 12, and the output end of the comprehensive evaluation system 12 is in signal connection with the input end of a suspicious black smoke vehicle data summarization module 13;
the output end of the equipment external connection module 14 is in signal connection with the input end of the equipment acquisition module 15, the input end of the equipment acquisition module 15 is in signal connection with the output end of the road environment light supplementing device 17, the output end of the equipment acquisition module 15 is in signal connection with the input end of the video storage equipment 16, the output end of the video storage equipment 16 is in type connection with the input end of the data transmission network unit 18, the output end of the data transmission network unit 18 is in signal connection with the output end of the algorithm embedding module 19, the output end of the algorithm embedding module 19 is respectively in signal connection with the input end of the basic information module 6 of each mobile unit and the input end of the black smoke index module 9 of each mobile unit, the output end of the basic information module 6 of each mobile unit is in signal connection with the input end of the vehicle behavior and tail gas emission bidirectional pre-judging system 20, the output end of the vehicle behavior and tail gas emission bidirectional, the input end of the traffic variable planning system 21 is in signal connection with the output end of the black smoke index module 9 of each mobile unit, the output end of the traffic variable planning system 21 is in signal connection with the input end of the vehicle behavior and traffic signal dynamic information module 22, and the other input end of the traffic variable planning system 21 is in signal connection with the output end of the city geographical environment planning data module 23;
a motor vehicle air pollution regulation and control method based on a cross-mode technology comprises the following steps:
s1: the method comprises the steps that basic information of each mobile unit can be obtained through a license plate recognition system 3, a vehicle type recognition system 4 and a tail gas recognition system 5 through a video data module 2 of a main traffic route in the city, the black smoke risk of each mobile unit is judged through a set black smoke risk judging system 7 according to the basic information of each mobile unit, objective risk values of each mobile unit are given according to factors such as vehicle models, vehicle types, historical accident information and speeds, whether the mobile unit is tracked or not is judged according to a black smoke index module 9 of each mobile unit and a risk index 8 of each mobile unit, all-day video data of the tracked motor vehicle are obtained, the overall track of the motor vehicle is obtained through a cross-modal content understanding technology, and all-weather tail gas images of the motor vehicle are formed through integration in a mode of 'time-place-speed-black smoke index', according to the whole-course information of the tracked motor vehicle, whether the vehicle is a black smoke vehicle or not can be judged through the arranged comprehensive evaluation system 12;
s2: by the aid of the external equipment module 14, self-service assembled tail gas monitoring related equipment can be additionally arranged in a region with insufficient resources;
s3: the embedded module 19 can be used for modeling the city in an omnibearing way by aiming at all-around city variables to form a dynamic controllable variable regulation and control system, and the tail gas reduction degree in the whole city range is used as a global objective function to carry out macroscopic variable regulation and control.
When the cross-modal technology-based air pollution regulation and control system and method for the motor vehicle are used, the video data module 2 of the main traffic route in the city is arranged to pass through the license plate recognition system 3, the vehicle type recognition system 4 and the tail gas recognition system 5 to obtain the basic information of each mobile unit, the black smoke risk judgment system 7 is arranged to judge the black smoke risk according to the basic information of each mobile unit, the objective risk value of each mobile unit is given by combining the factors such as the vehicle type, the historical accident information, the speed and the like, whether the mobile unit is tracked or not is judged according to the black smoke index module 9 of each mobile unit and the risk index 8 of each mobile unit, the video data of the tracked motor vehicle all day is obtained, the whole track of the motor vehicle is obtained by means of the cross-modal content understanding technology, and the integration is carried out in the form of 'time-place-speed-black smoke index', an all-weather tail gas image of the motor vehicle is formed, and whether the vehicle is a black smoke vehicle or not can be judged through the arranged comprehensive evaluation system 12 according to the whole-course information of the tracked motor vehicle.
Claims (8)
1. A motor vehicle air pollution regulation and control system based on cross-modal technology comprises an algorithm embedded module (1) and an equipment external module (14), and is characterized in that: the output end of the algorithm embedded module (1) is in signal connection with the input end of a city main traffic line video data module (2), the output end of the city main traffic line video data module (2) is in signal connection with the input end of a license plate recognition system (3), the input end of a vehicle type recognition system (4) and the input end of a tail gas recognition system (5) respectively, the output end of the tail gas recognition system (5) is in signal connection with the input end of a black smoke index module (9) of each mobile unit, the output end of the black smoke index module (9) of each mobile unit is in signal connection with the input end of a vehicle behavior portrait calling system (10), the output end of the vehicle behavior portrait calling system (10) is in signal connection with the input end of a suspicious vehicle behavior portrait/data module (11), and the output end of the suspicious vehicle behavior portrait/data module (11) is in signal connection with the output end of a comprehensive evaluation system (12), the output end of the comprehensive evaluation system (12) is in signal connection with the input end of the suspicious black smoke vehicle data summarizing module (13);
the output of the external device connecting module (14) is in signal connection with the input end of the device collecting module (15), the output end of the device collecting module (15) is in signal connection with the input end of the video storage device (16), the output end of the video storage device (16) is connected with the input end of the data transmission network unit (18), and the output end of the data transmission network unit (18) is in signal connection with the output end of the algorithm embedding module (19).
2. The system of claim 1, wherein the system comprises: the output end of the license plate recognition system (3) is in signal connection with the input end of the basic information module (6) of each mobile unit.
3. The system of claim 1, wherein the system comprises: the output end of the vehicle type recognition system (4) is in signal connection with the input end of the basic information module (6) of each mobile unit.
4. The system of claim 3, wherein the air pollution control system comprises: the output end of the basic information module (6) of each mobile unit is in signal connection with the input end of a black smoke risk judgment system (7), the output end of the black smoke risk judgment system (7) is in signal connection with the input end of a risk index module (8) of each mobile unit, and the output end of the risk index module (8) of each mobile unit is in signal connection with the input end of a vehicle behavior portrait retrieval system (10).
5. The system of claim 1, wherein the system comprises: the input end of the equipment acquisition module (15) is in signal connection with the output end of the road environment light supplementing device (17).
6. The system of claim 1, wherein the system comprises: the output end of the algorithm embedding module (19) is respectively in signal connection with the input end of the basic information module (6) of each mobile unit and the input end of the black smoke index module (9) of each mobile unit, and the output end of the basic information module (6) of each mobile unit is in signal connection with the input end of a vehicle behavior and exhaust emission bidirectional prejudging system (20).
7. The system of claim 6, wherein the air pollution control system comprises: the output end of the vehicle behavior tail gas emission bidirectional prejudging system (20) is in signal connection with the output end of a traffic variable planning system (21), the input end of the traffic variable planning system (21) is in signal connection with the output end of a black smoke index module (9) of each mobile unit, the output end of the traffic variable planning system (21) is in signal connection with the input end of a vehicle behavior and traffic signal dynamic information module (22), and the other input end of the traffic variable planning system (21) is in signal connection with the output end of a city geographical environment planning data module (23).
8. A motor vehicle air pollution regulation and control method based on a cross-mode technology is characterized in that: the method comprises the following steps:
s1: basic information of each mobile unit can be obtained through a license plate recognition system (3), a vehicle type recognition system (4) and an exhaust recognition system (5) of a video data module (2) of a main traffic route of the whole city, the black smoke risk of each mobile unit is judged according to the basic information of each mobile unit through a set black smoke risk judgment system (7), an objective risk value of each mobile unit is given according to factors such as vehicle type, historical accident information, speed and the like, whether the mobile unit should be tracked is judged according to a black smoke index module (9) of each mobile unit and a risk index (8) of each mobile unit, all-day video data of the tracked motor vehicle is obtained, the track of the motor vehicle is obtained by means of a cross-modal content understanding technology, and the integration is carried out in a form of 'time-place-speed-black smoke index', forming an all-weather tail gas image of the motor vehicle, and judging whether the vehicle is a black smoke vehicle or not through a set comprehensive evaluation system (12) according to the whole-course information of the tracked motor vehicle;
s2: the self-service assembled tail gas monitoring related equipment can be additionally arranged aiming at the area with insufficient resources through the arranged equipment external module (14);
s3: the city can be modeled facing to omnibearing city variables by the arranged algorithm embedded module (19), a dynamic controllable variable regulation and control system is formed, and the tail gas reduction degree in the whole city range is used as a global objective function to carry out macroscopic variable regulation and control.
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| CN103714363A (en) * | 2013-12-23 | 2014-04-09 | 南京新远见智能科技有限公司 | Motor vehicle exhaust smoke video identification system |
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- 2021-03-13 CN CN202110272548.1A patent/CN113033981A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103714363A (en) * | 2013-12-23 | 2014-04-09 | 南京新远见智能科技有限公司 | Motor vehicle exhaust smoke video identification system |
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