CN114980405A - Cloud computing tunnel illumination intelligent control system based on machine vision recognition traffic flow characteristics - Google Patents
Cloud computing tunnel illumination intelligent control system based on machine vision recognition traffic flow characteristics Download PDFInfo
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Abstract
The invention relates to the technical field of lighting engineering, in particular to a cloud computing tunnel lighting intelligent control system based on machine vision traffic flow feature identification, which comprises a traffic flow information identification system, a data transmission module, a cloud computing main control server, a link information communication module and a tunnel lighting intelligent dimming system, wherein the traffic flow information identification system comprises a traffic flow information identification module, a link information identification module and a link information communication module; the traffic information identification system is used for identifying vehicles and detecting traffic information such as traffic density, speed, following distance and the like; the data transmission module is connected with the traffic flow information identification system, the cloud computing main control server, the link information communication module and the tunnel lighting intelligent dimming system; the beneficial effects are as follows: the control system design of the invention introduces novel technologies such as machine vision, cloud computing and the like, has the characteristics of quick response, real-time information transmission and the like, is convenient for engineering application, and has the advantages of wide application range, high reliability, strong pertinence and high traffic intelligence degree.
Description
Technical Field
The invention relates to the technical field of lighting engineering, in particular to a cloud computing tunnel lighting intelligent control system based on machine vision traffic flow characteristic identification.
Background
With the continuous establishment of comprehensive transportation systems in China, the road mileage in China reaches 484.65 kilometers, the mileage of a road tunnel is continuously increased, and the influence of tunnel lighting on traffic safety is huge. At present, the control modes of most tunnel lighting in China are relatively fixed, the control technology is relatively simple, the real-time adjustment of the tunnel lighting is difficult to realize by the existing control modes, the flexibility is poor, ineffective lighting and excessive lighting are often caused, the energy consumption is huge, and the phenomenon of electric energy waste is serious.
Currently, in the aspect of lighting optimization of a highway tunnel, the existing technology generally starts with the aspects of selecting a green energy-saving lighting source, reasonably designing lamp arrangement, adopting power-saving equipment, optimizing a lighting energy structure and the like. Wherein, use ordinary illumination mode of adjusting luminance more among the intelligent lighting control technique, through traditional sensor discernment vehicle, thereby obtain the inside and outside environmental parameter in tunnel and adjust tunnel illumination light intensity, but this kind of sensor (like infrared sensor, earth magnetism detector) is higher to operational environment's requirement, and the efficiency that the vehicle detected is lower, and the real-time effect that carries out tunnel illumination according to the flowrate and adjust is relatively poor. Therefore, the development of the tunnel illumination intelligent control system should introduce a novel theory and technology, actively respond to the national call of 'accelerating the construction of a low-carbon transportation system', continuously improve the energy utilization efficiency of the road tunnel illumination system, continuously reduce the electric energy consumption, and construct a 'resource-saving and environment-friendly' road transportation system.
With the continuous extension and the improvement of the technology in the field of artificial intelligence, machine vision has been developed greatly as an important branch of the field. The machine vision system can convert a detection target into an image signal through a machine vision product and send the image signal to the image processing system, then analyzes the morphological information of the shot target, and extracts the morphological characteristics of the target through calculation, thereby obtaining a judgment result to perform behavior control on the field equipment. The cloud computing technology can achieve real-time data distribution and real-time data computing through network cloud, and provides services such as rapid and safe computing and data storage. The application scene of the cloud service is wide, the time and space boundary can be broken through, and the network mode can be flexibly deployed and dynamically expanded. The invention introduces two novel technologies of 'machine vision' and 'cloud computing', can achieve intelligent identification and real-time monitoring of traffic flow, organically combines traffic flow information and tunnel illumination adjustment into a unified control and adjustment system, and thus improves the intelligent degree of road traffic.
Disclosure of Invention
The invention aims to solve the problems that the tunnel lighting equipment of a highway is fully lighted for a long time and the tunnel lighting equipment cannot realize dimming control in time, and provides a cloud computing tunnel lighting intelligent control system based on machine vision traffic flow characteristic identification.
In order to achieve the purpose, the invention provides the following technical scheme:
the utility model provides a cloud calculates tunnel illumination intelligence control system based on machine vision discernment traffic flow characteristic which characterized in that: the system comprises a traffic flow information identification system 1, a data transmission module 2, a cloud computing master control server 3, a link information communication module 4 and a tunnel lighting intelligent dimming system 5; the traffic information identification system 1 is used for identifying vehicles and detecting traffic information such as traffic density, speed, following distance and the like; the data transmission module 2 is connected to the traffic information identification system 1, the cloud computing master control server 3, the link information communication module 4 and the tunnel lighting intelligent dimming system 5, and the data transmission module 2 is configured to receive traffic information acquired by the traffic information identification system 1 and distribute the traffic information to the cloud computing master control server 3, the link information communication module 4 and the tunnel lighting intelligent dimming system 5; the cloud computing master control server 3 is used for receiving, storing, analyzing and computing the traffic information uploaded by the data transmission module 2 and the intelligent dimming result fed back by the tunnel lighting intelligent dimming system 5, and directly sending the dimming instruction obtained by computing to the tunnel lighting intelligent dimming system 5; the link information communication module 4 is divided into a large link module 401 and a small link module 402, the large link module 401 is connected with the traffic information identification system 1, the data transmission module 2, the cloud computing main control server 3 and the tunnel lighting intelligent dimming system 5, and the large link module 401 connects the traffic information identification system 1, the data transmission module 2, the cloud computing main control server 3 and the tunnel lighting intelligent dimming system 5 into a unified communication network, so that information is transmitted in real time, and timeliness and reliability of data transmission can be guaranteed; the intelligent dimming system 5 for tunnel lighting is used for real-time adjustment and information feedback of tunnel lighting.
Preferably, the traffic information recognition system 1 includes a vehicle detection module 101 and a sensor integration module 102; the vehicle detection module 101 is arranged at a traffic node of a tunnel entrance section and is provided with an industrial vehicle detection camera; the sensor integration module 102 highly integrates a traditional sensor, includes an infrared detection sensor, a light intensity sensor, a temperature sensor and a humidity sensor, and has the functions of night infrared detection, tunnel external light intensity detection, temperature and humidity monitoring and the like.
Preferably, the vehicle detection module 101 is equipped with a visual recognition program, and has an upgradable vehicle Haar feature data set inside, so that the vehicle can be preliminarily recognized and the current vehicle speed can be detected based on the OpenCV library.
Preferably, the data transmission module 2 is installed at different traffic nodes of a highway tunnel, and the data transmission module 2 is designed on the basis of an existing highway wireless communication base station for highway information transmission.
Preferably, the cloud computing master control server 3 can distribute the traffic information to a highway traffic information center in real time, can upload the traffic information to a relevant traffic control department, can deploy the traffic information to a commercial cloud server, can be built by the traffic information center, and operates a traffic flow information analysis program and an intelligent dimming algorithm; the traffic flow information analysis program is based on traffic data, a highway traffic model is continuously trained through big data analysis and deep learning, extracted traffic flow characteristics are transmitted to an intelligent dimming algorithm, a dimming result is obtained, and a dimming instruction is sent to a tunnel lighting driving end, so that intelligent dimming is carried out.
Preferably, the intelligent dimming system 5 for tunnel lighting comprises a dimming control terminal 501, an LED lighting driving module 502 and a dimming information communication module 503, wherein the dimming information communication module 503 is connected to the dimming control terminal 501 and the LED lighting driving module 502 for communication between the two.
Preferably, the intelligent dimming system for tunnel lighting 5 is installed at a tunnel, wherein the dimming control terminal 501 is installed at an entrance of the tunnel, the LED lighting driving module 502 is installed inside the tunnel, and the dimming control terminal 501 and the LED lighting driving module 502 are connected to a tunnel lighting fixture.
Preferably, the dimming control terminal 501 is configured to receive traffic information sent by the data transmission module 2 and a dimming instruction sent by the cloud computing main control server 3 in real time, and may control the LED lighting device to implement stepless dimming; the LED lighting driving module 502 is connected to the tunnel lighting fixture, and can receive the signal transmitted by the dimming control terminal 501 to control the lighting output of the LED lighting fixture.
Preferably, the tunnel lighting intelligent dimming system 5 is divided into a "segment-gear" composite control, and according to a tunnel lighting design rule and lighting requirements, the whole segment of tunnel lighting is divided into three segments for segmented dimming: "inlet section plus transition section", "intermediate section" and "outlet section"; in the segmented dimming process, the LED lighting equipment is subjected to cluster control according to a dimming instruction, and each part of LED lamps are subjected to stepped dimming, so that stepless dimming in real time control according to traffic flow changes can be realized.
Preferably, the large link module 401 divides different devices into link nodes, and information of each node can be summarized and transmitted in different manners such as "error-reporting information active upload", "status information question-and-answer transmission", and the like; the small link module 402 refers to a dimming link formed by lighting devices in a tunnel, the LED lighting driving modules 502 are sequentially grouped according to a driving direction, and can sequentially transmit dimming instructions, and each LED cluster control end can continuously check the dimming instructions and feed back information to a large link information node in time.
The invention has the following beneficial effects: the control system design of the invention introduces novel technologies such as machine vision, cloud computing and the like, has the characteristics of quick response, real-time information transmission and the like, is convenient for engineering application, and has the advantages of wide application range, high reliability, strong pertinence and high traffic intelligence degree.
Drawings
Fig. 1 is a structural diagram of an intelligent control system for tunnel lighting according to the present invention;
FIG. 2 is a layout diagram of modules of the intelligent control system for tunnel lighting according to the present invention;
FIG. 3 is a block diagram of a traffic information recognition system according to the present invention;
FIG. 4 is a schematic wiring diagram of the intelligent tunnel lighting adjustment system of the present invention;
FIG. 5 is a block diagram of the intelligent regulation system for tunnel lighting of the present invention;
fig. 6 is a diagram of a cloud computing master server structure according to the present invention;
fig. 7 is a basic flow diagram of the present invention.
Shown in the figure: the system comprises a traffic flow information identification system 1, a data transmission module 2, a cloud computing main control server 3, a link information communication module 4, a tunnel lighting intelligent dimming system 5, a vehicle detection module 101, a sensor integration module 102, a large link module 401, a small link module 402, a dimming control terminal 501, an LED lighting driving module 502 and a dimming information communication module 503.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example 1
A cloud computing tunnel lighting intelligent control system based on machine vision traffic flow characteristics is shown in figure 1 and comprises a traffic flow information identification system 1, a data transmission module 2, a cloud computing main control server 3, a link information communication module 4 and a tunnel lighting intelligent dimming system 5.
As shown in fig. 2, the traffic information identification system 1 includes a vehicle detection module 101 and a sensor integration module 102, and the traffic information identification system 1 is configured to identify a vehicle, detect traffic information such as traffic density, vehicle speed, and following distance; the vehicle detection module 101 is arranged at a traffic node of a tunnel entrance section and is provided with an industrial vehicle detection camera; the sensor integration module 102 is highly integrated with a traditional sensor, comprises an infrared detection sensor, a light intensity sensor, a temperature sensor and a humidity sensor, and has the functions of night infrared detection, tunnel external light intensity detection, temperature and humidity monitoring and the like; compared with common urban traffic, the highway has a closed driving environment and traffic flow information is easy to master, the vehicle detection module 101 carries a visual identification program, an upgradable vehicle Haar characteristic data set is built in the vehicle detection module, and the vehicle can be preliminarily identified and the current speed of the vehicle can be detected based on an OpenCV program library.
As shown in fig. 1, the data transmission module 2 is installed at different traffic nodes of a highway tunnel, and is connected to the traffic information identification system 1, the cloud computing main control server 3, and the tunnel lighting intelligent dimming system 5, and the data transmission module 2 is configured to receive the traffic information acquired by the traffic information identification system 1, and distribute the traffic information to the cloud computing main control server 3 and the tunnel lighting intelligent dimming system 5; the data transmission module 2 is designed on the basis of the conventional highway wireless communication base station aiming at highway information transmission, a plurality of wireless base stations are built along a highway, the distance between the stations is designed according to radio wave propagation characteristics and the terrain along the highway, the communication distance is generally designed to be 10-50 kilometers, and the data transmission requirements of the invention are basically met. The communication module adopted by the invention is a domestic novel micro wireless communication base station, the working energy consumption is low, the coverage range of radio frequency signals is wide, and the bandwidth requirement of cloud computing data transmission can be met.
The cloud computing master control server 3 is used for receiving, storing, analyzing and computing the traffic information uploaded by the data transmission module 2 and the intelligent dimming result fed back by the tunnel lighting intelligent dimming system 5, and directly sending the dimming instruction obtained by computing to the tunnel lighting intelligent dimming system 5; the cloud computing main control server 3 can distribute real-time traffic information to a highway traffic information center, can also upload the real-time traffic information to a related traffic control department, can be deployed to a commercial cloud server, and can also be set up by the traffic information center to run a traffic information analysis program and an intelligent dimming algorithm; the traffic flow information analysis program is based on traffic data, a highway traffic model is continuously trained through big data analysis and deep learning, extracted traffic flow characteristics are transmitted to an intelligent dimming algorithm, a dimming result is obtained, and a dimming instruction is sent to a tunnel lighting driving end, so that intelligent dimming is carried out.
As shown in fig. 1, the intelligent dimming system 5 for tunnel lighting includes a dimming control terminal 501, an LED lighting driving module 502 and a dimming information communication module 503, where the dimming information communication module 503 is connected to the dimming control terminal 501 and the LED lighting driving module 502 for communication between the two; the tunnel lighting intelligent dimming system 5 is used for real-time regulation and information feedback of tunnel lighting; the tunnel lighting intelligent dimming system 5 is installed at a tunnel, wherein the dimming control terminal 501 is installed at an entrance of the tunnel, the LED lighting driving module 502 is installed inside the tunnel, and the dimming control terminal 501 and the LED lighting driving module 502 are connected to a tunnel lighting lamp; the dimming control terminal 501 is configured to receive traffic information sent by the data transmission module 2 and a dimming instruction sent by the cloud computing main control server 3 in real time, and may control the LED lighting device to implement stepless dimming; the LED lighting driving module 502 is connected to the tunnel lighting fixture, and can receive the signal transmitted by the dimming control terminal 501 to control the lighting output of the LED lighting fixture.
After receiving the traffic information sent by the data transmission module 2, the dimming control terminal 501 selects a dimming control scheme according to the traffic information, waits for a dimming instruction sent by the cloud computing main control server 3 to check, controls the LED lighting fixture to dim in real time, and meets the lighting requirements under the current traffic condition.
Preferably, the tunnel lighting intelligent dimming system 5 is divided into a "segment-to-segment" compound control. According to the design rule and the illumination requirement of tunnel illumination, the whole tunnel illumination is divided into three sections for segmented dimming: "inlet section plus transition section", "intermediate section" and "outlet section"; in the segmented dimming process, the LED lighting equipment is subjected to cluster control according to a dimming instruction, and each part of LED lamps are subjected to stepped dimming, so that stepless dimming in real time control according to traffic flow changes can be realized. The intelligent dimming system fully considers the black hole effect and the white hole effect in the tunnel illumination design, and performs illumination adjustment at the inlet section and the outlet section according to the light intensity difference inside and outside the tunnel; the dimming system also considers the influence of tunnel lighting on the visual ability of a driver, lighting redundancy is reserved in the dimming process, and basic lighting required by tunnel driving is guaranteed, so that the driving safety is guaranteed.
As shown in fig. 1, the link information communication module 4 is divided into a large link module 401 and a small link module 402, the large link module 401 is connected to the traffic information identification system 1, the data transmission module (2), the cloud computing main control server 3 and the tunnel lighting intelligent dimming system 5, and the large link module 401 connects the traffic information identification system 1, the data transmission module 2, the cloud computing main control server 3 and the tunnel lighting intelligent dimming system 5 to a unified communication network, so as to implement real-time mutual information transmission and ensure timeliness and reliability of data transmission.
The large link module 401 divides different devices into link nodes, and information of each node can be collected and transmitted in different modes such as 'error information active uploading' and 'state information question-and-answer transmission'; as shown in fig. 4, the small link module 402 refers to a dimming link formed by lighting devices in a tunnel, the LED lighting driving modules 502 are grouped in sequence according to a driving direction, and can transmit dimming commands in sequence, and each LED cluster control end can continuously check the dimming commands and feed back information to the large link information node in time.
The link information communication module is built in a wireless-wired mode, a base station-cable releasing mode and other modes, so that the construction cost is greatly reduced, and the construction and the upgrading of intelligent traffic are facilitated.
Example 2
Shown in the figure: the system comprises a traffic flow information identification system 1, a data transmission module 2, a cloud computing main control server 3, a link information communication module 4, a tunnel lighting intelligent dimming system 5, a vehicle detection module 101, a sensor integration module 102, a large link module 401, a small link module 402, a dimming control terminal 501, an LED lighting driving module 502 and a dimming information communication module 503.
The vehicle detection module 101 is installed at a traffic node before a tunnel entrance (in addition, the selection of the traffic node before the tunnel entrance takes the time of information transmission into full consideration, and the installation distance is calculated according to the average value of the vehicle speed within the speed limit range of the tunnel), wherein the vehicle detection module 10 monitors the current vehicle passing condition in real time, and the speed of a target vehicle is measured after the vehicle is identified;
the vehicle detection module 101 sends the traffic information to the data transmission module 2 through the data transmission interface 103; the sensor integration module 102 detects the temperature, humidity and light intensity of the current environment, and sends the environment information to the data transmission module through the data transmission interface 103.
The data transmission module 2 receives the traffic information and the environmental information and then distributes the data, wherein the data is uploaded to the cloud computing main control server 3 on one hand, and the data is transmitted to the dimming control terminal 501 in the tunnel lighting intelligent dimming system 5 on the other hand.
After receiving the traffic information and the environmental information, the cloud computing master control server 3 runs a traffic information analysis program by using the trained traffic model;
after extracting traffic characteristics, the traffic information analysis program in the cloud computing master control server 3 transmits data to an intelligent dimming algorithm;
after obtaining the dimming result, the intelligent dimming algorithm sends a dimming instruction to a dimming control terminal 501 in the tunnel lighting intelligent dimming system 5;
in addition, the cloud computing main control server 3 receives the feedback information of the current dimming sent by the dimming information communication module 503 in the tunnel lighting intelligent dimming system 5, and can detect a fault state and error information.
After receiving the traffic information, the dimming control terminal 501 in the tunnel lighting intelligent dimming system 5 wakes up the tunnel lighting equipment;
the dimming control terminal 501 selects a corresponding dimming scheme preliminarily according to the traffic information, and waits for a dimming instruction sent by the cloud computing master control server 3 to be checked;
after the dimming control terminal 501 receives the dimming instruction, if no calibration error exists, the dimming control terminal performs accurate dimming according to the dimming instruction, detects the working parameters of the lighting equipment, and transmits a dimming result to the dimming information communication module;
if there is an error, sending the error information to the dimming information communication module 503, performing accurate dimming according to the dimming instruction, detecting the working parameters of the lighting device, and sending the dimming result to the dimming information communication module 503;
in addition, the dimming control terminal 501 in the tunnel lighting intelligent dimming system 5 can work independently from the cloud computing main control server 3, if a network fault occurs, no dimming instruction is received within a time-out period, and the dimming control terminal 501 autonomously selects a dimming scheme to perform dimming, so that the working reliability of the tunnel lighting intelligent dimming system is improved.
The dimming information communication module 503 uploads the data to the cloud computing main control server 3 for feedback after receiving the dimming information.
The cloud computing master control server 503 receives the dimming information and then analyzes the dimming information, and monitors the working state of the lighting equipment in real time by combining the working parameters of the lighting equipment;
if the cloud computing master control server has a fault, fault information can be sent to the dimming control terminal 501 in the tunnel lighting intelligent dimming system 5, so that tunnel workers are guided to perform troubleshooting and maintenance.
The link information communication module 4 collects all data in the process in real time and sends the data to relevant traffic management departments through the cloud computing main control server 3, so that road tunnel management personnel can acquire tunnel traffic information in real time, such as tunnel external light intensity, tunnel internal road surface brightness, tunnel illumination power consumption, current traffic information, accident time, fault alarm and the like.
The present invention is not limited to the above preferred embodiments, and any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides a cloud calculates tunnel illumination intelligence control system based on machine vision discernment traffic flow characteristic which characterized in that: the intelligent tunnel lighting system comprises a traffic flow information identification system (1), a data transmission module (2), a cloud computing main control server (3), a link information communication module (4) and a tunnel lighting intelligent dimming system (5);
the traffic information identification system (1) is used for identifying vehicles and detecting traffic information such as traffic density, speed, following distance and the like;
the data transmission module (2) is connected with the traffic flow information identification system (1), the cloud computing master control server (3), the link information communication module (4) and the tunnel lighting intelligent dimming system (5), and the data transmission module (2) is used for receiving the traffic flow information acquired by the traffic flow information identification system (1) and distributing the traffic flow information to the cloud computing master control server (3), the link information communication module (4) and the tunnel lighting intelligent dimming system (5);
the cloud computing master control server (3) is used for receiving, storing, analyzing and calculating traffic flow information uploaded by the data transmission module (2) and intelligent dimming results fed back by the tunnel lighting intelligent dimming system (5), and directly sending dimming instructions obtained through calculation to the tunnel lighting intelligent dimming system (5);
the link information communication module (4) is divided into a large link module (401) and a small link module (402), the large link module (401) is connected with the traffic flow information identification system (1), the data transmission module (2), the cloud computing main control server (3) and the tunnel lighting intelligent dimming system (5), and the large link module (401) enables the traffic flow information identification system (1), the data transmission module (2), the cloud computing main control server (3) and the tunnel lighting intelligent dimming system (5) to be connected into a unified communication network, so that information is transmitted in real time, and timeliness and reliability of data transmission can be guaranteed;
the tunnel lighting intelligent dimming system (5) is used for real-time regulation and information feedback of tunnel lighting.
2. The intelligent control system for tunnel lighting based on cloud computing for identifying traffic flow characteristics through machine vision according to claim 1, is characterized in that: the traffic information identification system (1) comprises a vehicle detection module (101) and a sensor integration module (102); the vehicle detection module (101) is arranged at a traffic node of a tunnel entrance section and is provided with an industrial vehicle detection camera; the sensor integration module (102) is highly integrated with a traditional sensor, comprises an infrared detection sensor, a light intensity sensor, a temperature sensor and a humidity sensor, and has the functions of night infrared detection, tunnel external light intensity detection, temperature and humidity monitoring and the like.
3. The intelligent control system for tunnel lighting based on cloud computing for identifying traffic flow characteristics through machine vision according to claim 2, is characterized in that: the vehicle detection module (101) is loaded with a visual identification program, an upgradable vehicle Haar characteristic data set is built in the visual identification program, and the vehicle can be preliminarily identified and the current vehicle speed of the vehicle can be detected based on an OpenCV (open vehicle vision library).
4. The intelligent control system for tunnel lighting based on cloud computing for identifying traffic flow characteristics through machine vision according to claim 1, is characterized in that: the data transmission module (2) is installed at different traffic nodes of a highway tunnel, and the data transmission module (2) is designed on the basis of the conventional highway wireless communication base station aiming at highway information transmission.
5. The intelligent control system for tunnel lighting based on cloud computing for identifying traffic flow characteristics through machine vision according to claim 1, is characterized in that: the cloud computing master control server (3) can distribute traffic information to a highway traffic information center in real time, can upload the traffic information to relevant traffic control departments, can be deployed to a commercial cloud server, can be built by the traffic information center, and runs a traffic flow information analysis program and an intelligent dimming algorithm; the traffic flow information analysis program is based on traffic data, a highway traffic model is continuously trained through big data analysis and deep learning, extracted traffic flow characteristics are transmitted to an intelligent dimming algorithm, a dimming result is obtained, and a dimming instruction is sent to a tunnel lighting driving end, so that intelligent dimming is carried out.
6. The intelligent control system for tunnel lighting based on cloud computing for identifying traffic flow characteristics through machine vision according to claim 1, is characterized in that: the tunnel lighting intelligent dimming system (5) comprises a dimming control terminal (501), an LED lighting driving module (502) and a dimming information communication module (503), wherein the dimming information communication module (503) is connected with the dimming control terminal (501) and the LED lighting driving module (502) and is used for communication connection of the dimming control terminal (501) and the LED lighting driving module (502).
7. The intelligent control system for tunnel lighting based on cloud computing for identifying traffic flow characteristics through machine vision according to claim 6, is characterized in that: the tunnel lighting intelligent dimming system (5) is installed at a tunnel, wherein the dimming control terminal (501) is installed at an entrance of the tunnel, the LED lighting driving module (502) is installed inside the tunnel, and the dimming control terminal (501) and the LED lighting driving module (502) are connected into a tunnel lighting lamp.
8. The intelligent control system for tunnel lighting based on cloud computing for identifying traffic flow characteristics through machine vision according to claim 7, is characterized in that: the dimming control terminal (501) is used for receiving traffic flow information sent by the data transmission module (2) and a dimming instruction sent by the cloud computing main control server (3) in real time, and can control the LED lighting equipment to realize stepless dimming; the LED illumination driving module (502) is connected with the tunnel illumination lamp and can receive signals transmitted by the dimming control terminal (501) to control illumination output of the LED illumination lamp.
9. The intelligent control system for tunnel lighting based on cloud computing for identifying traffic flow characteristics through machine vision according to claim 1, is characterized in that: the tunnel lighting intelligent dimming system (5) is divided into 'section-gear' composite control, and the whole section of tunnel lighting is divided into three sections to perform segmented dimming according to the tunnel lighting design rule and lighting requirements: "inlet section plus transition section", "intermediate section" and "outlet section"; in the segmented dimming process, the LED lighting equipment is subjected to cluster control according to a dimming instruction, and each part of LED lamps are subjected to stepped dimming, so that stepless dimming in real time control according to traffic flow changes can be realized.
10. The intelligent control system for tunnel lighting based on cloud computing for identifying traffic flow characteristics through machine vision according to claim 1, is characterized in that: the large link module (401) divides different devices into link nodes, and information of each node can be collected and transmitted in different modes such as 'error information active uploading' and 'state information question-and-answer transmission'; the small link module (402) refers to a dimming link formed by lighting equipment in a tunnel, the LED lighting driving modules (502) are sequentially grouped according to the driving direction and can sequentially transmit dimming instructions, and each LED cluster control end can continuously check the dimming instructions and timely feed back information to a large link information node.
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