Smart street light intelligent control system based on 5G communication module

Abstract

The present invention relates to the field of intelligent control, and specifically to a smart street lamp intelligent control system based on a 5G communication module, comprising an information acquisition module, a data analysis module, a node communication module, a node control module, and a road surface lighting module; the information acquisition module is used to collect road surface image information and road surface traffic flow information; the data analysis module is used to analyze the road surface traffic flow movement state and divide the road surface into lighting areas according to the vehicle movement state, analyze the visibility demand values ​​of the vehicle and each road surface area, and is also used to analyze and judge the road surface area lighting adjustment demand based on the real-time collected image information of each road surface area; the node communication module realizes real-time communication between smart street lamps based on the 5G communication module, builds a communication interconnected smart street lamp network, and divides and manages the road surface area as a whole; the node control module adjusts the lighting brightness of each road surface area around the vehicle in real time according to the road surface light intensity adjustment value data.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and specifically to a smart street lamp intelligent control system based on a 5G communication module. Background Art

[0002] With the continuous development of the Internet of Things, the smart street light technology based on the Internet of Things has also been improved. At a time when the energy structure is transforming and traditional energy is becoming increasingly exhausted, the efficient use of energy by smart street lights is also particularly important.

[0003] Most of the current smart street lights use lighting control based on time and traffic flow or based on brightness and traffic flow in lighting control. Control based on time and traffic flow sets the system to automatically light up when traffic passes by during the night time period to achieve smart lighting. Lighting control based on brightness and traffic flow obtains the brightness and visibility of the area in real time, and automatically lights up when the area is dark and a vehicle passes by to achieve smart lighting.

[0004] However, the above solutions all have the following unresolved problems: on the one hand, when vehicles pass at different speeds, the lighting requirements for the front field are different. When the vehicle speed is slow, it is only necessary to increase the lighting intensity of the closer area in front, and when the vehicle speed is fast, it is necessary to illuminate the farther area; on the other hand, the vehicle has different lighting requirements for different angles in the field of vision. If the same power is used to illuminate each area, there will be redundant energy loss; in addition, in areas with different visibility, only a large range of meteorological data is analyzed, and it is impossible to adaptively adjust the lighting according to the image effect visible in the actual line of sight, and the degree of refinement of the area is low. Summary of the invention

[0005] The purpose of the present invention is to provide a smart street lamp intelligent control system based on a 5G communication module to solve the problems raised in the above background technology.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] Smart street light intelligent control system based on 5G communication module, including information collection module, data analysis module, node communication module and node control module;

[0008] The information acquisition module is used to collect road image information and road traffic information; the data analysis module is used to analyze the road traffic flow status and divide the road lighting area according to the vehicle travel status, analyze the visibility demand value of each area of ​​the vehicle and the road surface, and is also used to analyze and judge the road area lighting adjustment demand based on the real-time collected image information of each road area; the node communication module realizes real-time communication between smart street lamps based on the 5G communication module, builds a communication interconnected smart street lamp network, and divides and manages the road area as a whole; the node control module adjusts the lighting brightness of each area of ​​the road around the vehicle in real time according to the road light intensity adjustment value data;

[0009] The information acquisition module and the node communication module output end are connected to the data analysis module input end; the data analysis module output end is connected to the node control module input end;

[0010] In the above technical solution, the information acquisition module includes a vehicle information acquisition unit and a road surface image acquisition unit;

[0011] The vehicle information acquisition unit is used to acquire the driving status information of the vehicle on the road, including the vehicle speed and the vehicle direction; the road image acquisition unit is used to acquire the image information of each area of ​​the divided road in real time;

[0012] The output end of the vehicle information acquisition unit and the road surface image acquisition unit is connected to the input end of the data analysis module;

[0013] In the above technical solution, the data analysis module includes a road area division unit, a regional visibility demand analysis unit, and a road lighting adjustment analysis unit;

[0014] The road area division unit is used to determine the road area division distance interval according to the vehicle driving state, and divide the road around the vehicle into areas; the area visibility demand analysis unit is used to analyze the visibility demand value of each area of ​​the vehicle and the road according to the position relationship between the vehicle and each area of ​​the road and the vehicle driving state; the road lighting adjustment analysis unit is used to analyze and determine the road area lighting adjustment demand according to the real-time collected image information of each road area;

[0015] The input end of the road area division unit is connected to the output end of the information acquisition module; the output end of the road area division unit is connected to the input end of the regional visibility demand analysis unit; the output end of the regional visibility demand analysis unit is connected to the input end of the road lighting adjustment analysis unit; the output end of the road lighting adjustment analysis unit is connected to the input end of the node control module;

[0016] In the above technical solution, the node communication module includes a road surface node communication unit and a road surface network construction unit;

[0017] The node communication unit realizes real-time communication between smart street lamps on the road surface through the 5G communication module attached to each smart street lamp node; the road surface network construction unit is used to integrate the road surface images collected by the information collection module through real-time communication between nodes to construct a road surface network;

[0018] The output end of the node communication unit is connected to the input end of the road network construction unit; the output end of the road network construction unit is connected to the input end of the data analysis module;

[0019] In the above technical solution, the node control module includes a regional lighting unit and a lighting adjustment unit;

[0020] The regionalized lighting unit uses a partitioned lighting system to control lighting in different areas with different brightness; the lighting adjustment unit is used to adjust the lighting brightness of each area of ​​the road surface around the vehicle in real time according to the road surface light intensity adjustment value data;

[0021] The input end of the lighting adjustment unit is connected to the regional lighting unit and the output end of the data analysis module;

[0022] In the above technical solution, dividing the road surface around the vehicle into regions and calculating the visibility requirement values ​​of each region and the vehicle includes the following contents;

[0023] Through real-time monitoring of the road area by smart street lights, the distance traveled by vehicles within the lighting adjustment cycle T is collected as the length of the regional division grid, and the lane width is used as the regional division grid width to divide the road area into grids; by dividing the road area into grid areas, different lighting adjustment strategies are adopted for different areas to achieve precise control of road lighting energy consumption and redundant losses, reducing unnecessary power loss caused by the lighting of the entire road section when individual vehicles pass by;

[0024] Get the current vehicle center point position, and then analyze the distance between the center point of each grid area and the current vehicle center point. For any grid area, calculate the visibility requirement value of the grid area and the current vehicle according to the formula:

[0025]

[0026] Among them, C vis is the visibility requirement value of the grid area and the current vehicle, k visis the visibility demand coefficient, v is the current vehicle speed, θ is the angle between the line connecting the current vehicle center point and the current grid area center point and the vehicle travel direction, l is the distance between the current vehicle center point and the current grid area center point, ∈ is a constant parameter; k vis The value range is positive and is proportional to the natural visibility value of the vehicle when it is driving;

[0027] When analyzing the required value of vehicle visibility, the cosine value of the angle between the direction of the line connecting the current vehicle center point and the current grid area center point and the vehicle's travel direction is introduced as a parameter. Considering the different lighting field requirements in front, side, and rear of the vehicle during actual driving, the lighting adjustment in different directions is also specifically considered when analyzing the actual lighting strategy. The vehicle's travel speed and the distance between the vehicle and the road area are also introduced as parameters. Considering the factors that the distance required for observation is longer when the vehicle speed is faster during actual driving, and the lighting requirements of the area closer to the vehicle are higher, the lighting strategy of the actual road is considered more carefully.

[0028] In the above technical solution, the lighting adjustment requirements of the road area are determined based on the analysis of the real-time collected image information of each road area, including the following contents:

[0029] By collecting the image information of the road area, the comprehensive visibility value V of the current road area is calculated according to the formula:

[0030]

[0031] Among them, w B is the brightness evaluation coefficient, B is the image brightness of the current road area, and w C is the contrast evaluation coefficient, and C is the image contrast of the current road area. By integrating the image information contrast and brightness parameters, the comprehensive visibility value of each road area is calculated, taking into account the actual driving visual effect, providing a more reliable data basis for the analysis of lighting adjustment needs.

[0032] Set the visibility range for the road area [V min ,V max ],when When , it means that the visibility of the current road area meets the driving lighting requirements and no lighting brightness adjustment is required; when or When , it means that the current road area lighting brightness is low or high, and further analysis and calculation of the road area light intensity adjustment value are performed to adjust the lighting; considering that excessive increase of brightness parameters in actual visual effects will lead to a decrease in the driver's ability to obtain visual field information, a range threshold is set to more accurately reflect the driver's demand for road lighting;

[0033] In the above technical solution, the real-time adjustment of the illumination brightness of each area of ​​the road surface around the vehicle according to the road surface illumination intensity adjustment value data includes the following contents;

[0034] Obtain image information of each road surface area under different light intensities, calculate the comprehensive visibility value of the road surface area under different light intensities, and perform light intensity-comprehensive visibility value curve fitting for each road surface area;

[0035] Obtain the comprehensive visibility value of each road surface area at the current time point, and use the corresponding light intensity-comprehensive visibility value curve of each road surface area for numerical matching to obtain the fitted light intensity value I of the road surface area at the current time point d ;

[0036] Further calculation Using V E The value is matched according to the light intensity-comprehensive visibility value curve to obtain the expected light intensity value I of the road area. E ;

[0037] Calculate the smart street light intensity adjustment value according to the formula: I r =I d -I E ; Among them, I r I is the intelligent street light intensity adjustment value, d is the fitted light intensity value of each road area at the current time point, I E Expected light intensity value for the road surface area;

[0038] Will I r As the intelligent street light illumination adjustment value to adjust the lighting intensity; when I r When I is positive, the lighting intensity of the smart street lamp decreases; when I r When the value is negative, the lighting intensity of the smart street lamp increases; the expected light intensity analysis is performed through curve fitting and value matching to reduce the interference of light sources other than the street lamp network on the actual analysis results. It can also make full use of the lighting effects of surrounding building light sources, vehicle lighting, etc. on the road area to reduce the energy consumption of the street lamp itself.

[0039] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0040] The present invention divides the road sections where smart street lamps are installed into regions according to the movement states of passing vehicles, introduces the direction of the line connecting the center point of the vehicle and the center point of the road area, the angle of the vehicle's travel direction, and the distance between the center point of the vehicle and the center point of the road area as parameters, comprehensively analyzes the visibility demand values ​​of the road area at different azimuth angles and distances, quantifies the degree of demand for the lighting effect of the road area in all directions around the vehicle during actual driving, accurately reflects the lighting demand of vehicles in different travel states when passing through the road area, and more accurately controls the vehicle driving lighting demand, and then uses the partition lighting function to achieve specialized lighting adjustment for each area;

[0041] When the present invention performs comprehensive visibility analysis on each road surface area, curve fitting and numerical matching are performed on the illumination and comprehensive visibility values ​​of each road surface area, the illumination intensity adjustment value during lighting adjustment is analyzed, and image analysis is used to integrate the influence of weather and external light sources on the driving field of vision into the actual image effect for comprehensive analysis, thereby improving the practicality and universality of the lighting adjustment strategy, and further utilizing the lighting effect of external light sources on the road surface area to more accurately reduce lighting energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0043] Figure 1 It is the organizational structure diagram of the smart street lamp intelligent control system based on the 5G communication module of the present invention;

[0044] Figure 2 This is the structural connection diagram of the smart street lamp intelligent control system based on the 5G communication module of the present invention. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] See also Figure 1-Figure 2 , the present invention provides a technical solution:

[0047] Smart street light intelligent control system based on 5G communication module, including information collection module, data analysis module, node communication module and node control module;

[0048] The information acquisition module is used to collect road image information and road traffic information; the data analysis module is used to analyze the road traffic flow status and divide the road lighting area according to the vehicle travel status, analyze the visibility demand value of each area of ​​the vehicle and the road surface, and is also used to analyze and judge the road area lighting adjustment demand based on the real-time collected image information of each road area; the node communication module realizes real-time communication between smart street lamps based on the 5G communication module, builds a communication interconnected smart street lamp network, and divides and manages the road area as a whole; the node control module adjusts the lighting brightness of each area of ​​the road around the vehicle in real time according to the road light intensity adjustment value data;

[0049] The information acquisition module and the node communication module output end are connected to the data analysis module input end; the data analysis module output end is connected to the node control module input end;

[0050] The information acquisition module includes a vehicle information acquisition unit and a road surface image acquisition unit;

[0051] The vehicle information acquisition unit is used to acquire the driving status information of the vehicle on the road, including the vehicle speed and the vehicle direction; the road image acquisition unit is used to acquire the image information of each area of ​​the divided road in real time;

[0052] The output end of the vehicle information acquisition unit and the road surface image acquisition unit is connected to the input end of the data analysis module;

[0053] The data analysis module includes a road area division unit, a regional visibility demand analysis unit, and a road lighting adjustment analysis unit;

[0054] The road area division unit is used to determine the road area division distance interval according to the vehicle driving state, and divide the road around the vehicle into areas; the area visibility demand analysis unit is used to analyze the visibility demand value of each area of ​​the vehicle and the road according to the position relationship between the vehicle and each area of ​​the road and the vehicle driving state; the road lighting adjustment analysis unit is used to analyze and determine the road area lighting adjustment demand according to the real-time collected image information of each road area;

[0055] The input end of the road area division unit is connected to the output end of the information acquisition module; the output end of the road area division unit is connected to the input end of the regional visibility demand analysis unit; the output end of the regional visibility demand analysis unit is connected to the input end of the road lighting adjustment analysis unit; the output end of the road lighting adjustment analysis unit is connected to the input end of the node control module;

[0056] The node communication module includes a road surface node communication unit and a road surface network construction unit;

[0057] The node communication unit realizes real-time communication between smart street lamps on the road surface through the 5G communication module attached to each smart street lamp node; the road surface network construction unit is used to integrate the road surface images collected by the information collection module through real-time communication between nodes to construct a road surface network;

[0058] The output end of the node communication unit is connected to the input end of the road network construction unit; the output end of the road network construction unit is connected to the input end of the data analysis module;

[0059] The node control module includes a regional lighting unit and a lighting adjustment unit;

[0060] The regionalized lighting unit uses a partitioned lighting system to control lighting in different areas with different brightness; the lighting adjustment unit is used to adjust the lighting brightness of each area of ​​the road surface around the vehicle in real time according to the road surface light intensity adjustment value data;

[0061] The input end of the lighting adjustment unit is connected to the regional lighting unit and the output end of the data analysis module;

[0062] Dividing the road around the vehicle into regions and calculating the visibility requirements of each region and the vehicle include the following:

[0063] The road area is monitored in real time by smart street lamps, and the distance traveled by vehicles within the lighting adjustment cycle T is collected as the length of the regional division grid, and the lane width is used as the regional division grid width to divide the road area into grids;

[0064] Get the current vehicle center point position, and then analyze the distance between the center point of each grid area and the current vehicle center point. For any grid area, calculate the visibility requirement value of the grid area and the current vehicle according to the formula:

[0065]

[0066] Among them, C vis is the visibility requirement value of the grid area and the current vehicle, k vis is the visibility demand coefficient, v is the current vehicle speed, θ is the angle between the line connecting the current vehicle center point and the current grid area center point and the vehicle travel direction, l is the distance between the current vehicle center point and the current grid area center point, ∈ is a constant parameter; k vis The value range is positive and is proportional to the natural visibility value of the vehicle when it is driving;

[0067] The lighting adjustment requirements of the road area are determined based on the real-time collected image information of each road area, including the following:

[0068] By collecting the image information of the road area, the comprehensive visibility value V of the current road area is calculated according to the formula:

[0069]

[0070] Among them, w B is the brightness evaluation coefficient, B is the image brightness of the current road area, and w C is the contrast evaluation coefficient, C is the image contrast of the current road area;

[0071] Set the visibility range for the road area [V min ,V max ],when When , it means that the visibility of the current road area meets the driving lighting requirements and no lighting brightness adjustment is required; when or When , it means that the current road area lighting brightness is low or high, and further analysis and calculation of the road area light intensity adjustment value is performed to adjust the lighting;

[0072] The real-time adjustment of the illumination brightness of each area of ​​the road surface around the vehicle according to the road surface illumination intensity adjustment value data includes the following contents:

[0073] Obtain image information of each road surface area under different light intensities, calculate the comprehensive visibility value of the road surface area under different light intensities, and perform light intensity-comprehensive visibility value curve fitting for each road surface area;

[0074] Obtain the comprehensive visibility value of each road surface area at the current time point, and use the corresponding light intensity-comprehensive visibility value curve of each road surface area for numerical matching to obtain the fitted light intensity value I of the road surface area at the current time point d ;

[0075] Further calculate the expected comprehensive visibility value Using V E The value is matched according to the light intensity-comprehensive visibility value curve to obtain the expected light intensity value I of the road area. E ;

[0076] Calculate the smart street light intensity adjustment value according to the formula: I r =I d -I E ; Among them, I r I is the intelligent street light intensity adjustment value, d is the fitted light intensity value of each road area at the current time point, I E Expected light intensity value for the road surface area;

[0077] Will I r As the intelligent street light illumination adjustment value to adjust the lighting intensity; when Ir When I is positive, the lighting intensity of the smart street lamp decreases; when I r When the value is negative, the lighting intensity of the smart street lamp increases.

[0078] In the specific implementation, smart street lamps with 5G communication, image acquisition, radar ranging, and zone lighting functions are installed in the implementation section. Image information of each lane of the road and image information under various light intensities are obtained through image acquisition. The obtained image information is processed and the comprehensive visibility value is calculated. Then, the light intensity-comprehensive visibility value curve is obtained through curve fitting, and the visibility range is set according to the actual driving field of view [V min ,V max ];

[0079] The smart street lights installed along the road are used to construct a road map network and set the cycle time for lighting adjustment. When a vehicle enters the road map network where smart street lights are installed, the vehicle's movement status is monitored through the radar ranging function, and the vehicle's travel speed is analyzed and obtained. Then, the vehicle's forward distance within a cycle is calculated based on the lighting adjustment cycle and the vehicle's travel speed. Among them, the adjustment cycle refers to the time for the smart street light node to adjust the lighting intensity. The adjustment is performed in a slow and gradual manner to avoid visual interference caused by pulse-type brightness adjustment, which affects driving safety.

[0080] The road is divided into pavement areas along the road direction. The width of each pavement area is the width of a lane. When there is no guide line on the road, the width is the width of a one-way road. The length of each pavement area is the distance traveled by vehicles in one cycle.

[0081] When collecting the vehicle's motion status, if the measured moving distance of the vehicle in one adjustment cycle is less than the length of the vehicle body, that is, the length of the road area when dividing the road area is less than the length of the vehicle body itself, and the vehicle crosses multiple road areas, the road area is re-divided with the maximum length of a small car of 6m as the road area length;

[0082] Use the radar ranging function to measure the visibility requirement between the vehicle and each divided road area. Assume that the angle between the vehicle and the road area in front of it and the vehicle's travel direction is 60°, the vehicle speed is 60km / s, and the distance between the center of the road area and the center of the vehicle is 2.6m. Set the visibility requirement coefficient k vis =1, set the constant parameter ∈ = 1, and calculate the visibility requirement value C of the road area and the current vehicle vis =1.71;

[0083] Use the image acquisition function of smart street lamps to obtain real-time image information of each road area corresponding to the lighting partition of each street lamp, calculate the comprehensive visibility value V of each road area, and calculate The value is compared with the visibility range to determine whether the current road area needs lighting adjustment;

[0084] when or When , it means that the current road area lighting brightness is low or high, and lighting adjustment is required. The curve matching is performed on the comprehensive visibility value of the area at the current time point, and the light intensity matching value of the current road area without lighting adjustment is obtained as the fitting light intensity value of the road area. Then, according to the formula Calculate the expected comprehensive visibility value V of the road surface E , obtain the expected light intensity value of the road area through curve matching, and then subtract the light intensity value to obtain the light intensity adjustment value of the smart street lamp partition lighting corresponding to the current area;

[0085] In the case of heavy traffic, the road area is divided by faster vehicles with longer area lengths, and the road area is divided by slower vehicles with shorter area lengths. When dividing the road area, faster vehicles and slower vehicles have different lighting requirements for different road blocks, and the maximum overlapping area length of the area divisions of vehicles with different speeds is the area length when the road area is divided by slower vehicles. When calculating the visibility demand value, vehicles with a closer distance between the center of the vehicle and the center of the road block are selected as the analysis object and the calculation results of the visibility demand value are recorded. Therefore, when performing lighting adjustment analysis, the adjustment strategy is selected based on the needs of nearby drivers to avoid interference with the lighting needs of nearby drivers by vehicles farther away;

[0086] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0087] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. The intelligent street light control system based on 5G communication module is characterized by: The system includes an information collection module, a data analysis module, a node communication module, and a node control module; The information acquisition module is used to collect road image information and road traffic information; the data analysis module is used to analyze the road traffic flow status and divide the road lighting area according to the vehicle travel status, analyze the visibility demand value of each area of ​​the vehicle and the road surface, and is also used to analyze and judge the road area lighting adjustment demand based on the real-time collected image information of each road area; the node communication module realizes real-time communication between smart street lamps based on the 5G communication module, builds a communication interconnected smart street lamp network, and divides and manages the road area as a whole; the node control module adjusts the lighting brightness of each area of ​​the road around the vehicle in real time according to the road light intensity adjustment value data; The information acquisition module and the node communication module output end are connected to the data analysis module input end; the data analysis module output end is connected to the node control module input end; Among them, dividing the road around the vehicle into regions and calculating the visibility requirement values ​​of each region and the vehicle includes the following contents; The road area is monitored in real time by smart street lamps, and the distance traveled by vehicles within the lighting adjustment cycle T is collected as the length of the regional division grid, and the lane width is used as the regional division grid width to divide the road area into grids; Get the current vehicle center point position, and then analyze the distance between the center point of each grid area and the current vehicle center point. For any grid area, calculate the visibility requirement value of the grid area and the current vehicle according to the formula: Among them, C vis is the visibility requirement value of the grid area and the current vehicle, k vis is the visibility demand coefficient, v is the current vehicle speed, θ is the angle between the line connecting the current vehicle center point and the current grid area center point and the vehicle travel direction, l is the distance between the current vehicle center point and the current grid area center point, ∈ is a constant parameter; k vis The value range is positive and is proportional to the natural visibility value of the vehicle when it is driving; The lighting adjustment requirements of the road area are determined based on the real-time collected image information of each road area, including the following: By collecting the image information of the road area, the comprehensive visibility value V of the current road area is calculated according to the formula: Among them, w B is the brightness evaluation coefficient, B is the image brightness of the current road area, and w C is the contrast evaluation coefficient, C is the image contrast of the current road area; Set the visibility range for the road area [V min ,V max ],when When , it means that the visibility of the current road area meets the driving lighting requirements and no lighting brightness adjustment is required; when or When , it means that the current road area lighting brightness is low or high, and further analysis and calculation of the road area light intensity adjustment value is performed to adjust the lighting; The real-time adjustment of the illumination brightness of each area of ​​the road surface around the vehicle according to the road surface illumination intensity adjustment value data includes the following contents: Obtain image information of each road surface area under different light intensities, calculate the comprehensive visibility value of the road surface area under different light intensities, and perform light intensity-comprehensive visibility value curve fitting for each road surface area; Obtain the comprehensive visibility value of each road surface area at the current time point, and use the corresponding light intensity-comprehensive visibility value curve of each road surface area for numerical matching to obtain the fitted light intensity value I of the road surface area at the current time point d ; Further calculation Using V E The value is matched according to the light intensity-comprehensive visibility value curve to obtain the expected light intensity value I of the road area. E ; Calculate the smart street light intensity adjustment value according to the formula: I r =I d -I E ; Among them, I r I is the intelligent street light intensity adjustment value, d is the fitted light intensity value of each road area at the current time point, I E Expected light intensity value for the road surface area; Will I r As the intelligent street light illumination adjustment value to adjust the lighting intensity; when I r When I is positive, the lighting intensity of the smart street lamp decreases; when I r When the value is negative, the lighting intensity of the smart street lamp increases.

2. According to the smart street lamp intelligent control system based on 5G communication module according to claim 1, it is characterized in that: The information acquisition module includes a vehicle information acquisition unit and a road surface image acquisition unit; The vehicle information acquisition unit is used to acquire the driving status information of the vehicle on the road, including the vehicle speed and the vehicle direction; the road image acquisition unit is used to acquire the image information of each area of ​​the divided road in real time; The output ends of the vehicle information acquisition unit and the road surface image acquisition unit are connected to the input end of the data analysis module.

3. According to the smart street lamp intelligent control system based on 5G communication module according to claim 1, it is characterized in that: The data analysis module includes a road area division unit, a regional visibility demand analysis unit, and a road lighting adjustment analysis unit; The road area division unit is used to determine the road area division distance interval according to the vehicle driving state, and divide the road around the vehicle into regions; the regional visibility demand analysis unit is used to analyze the visibility demand value of the vehicle and each road area according to the position relationship between the vehicle and each road area and the vehicle driving state; The road surface lighting adjustment analysis unit is used to analyze and determine the road surface area lighting adjustment requirements based on the real-time collected image information of each road surface area; The input end of the road surface area division unit is connected to the output end of the information collection module; the output end of the road surface area division unit is connected to the input section of the regional visibility demand analysis unit; the output end of the regional visibility demand analysis unit is connected to the input end of the road surface lighting adjustment analysis unit; the output end of the road surface lighting adjustment analysis unit is connected to the input end of the node control module.

4. According to claim 1, the intelligent street lamp intelligent control system based on the 5G communication module is characterized in that: The node communication module includes a road surface node communication unit and a road surface network construction unit; The node communication unit realizes real-time communication between smart street lamps on the road surface through the 5G communication module attached to each smart street lamp node; the road surface network construction unit is used to integrate the road surface images collected by the information collection module through real-time communication between nodes to construct a road surface network; The output end of the node communication unit is connected to the input end of the road network construction unit; the output end of the road network construction unit is connected to the input end of the data analysis module.

5. According to the smart street lamp intelligent control system based on 5G communication module according to claim 1, it is characterized in that: The node control module includes a regional lighting unit and a lighting adjustment unit; The regionalized lighting unit uses a partitioned lighting system to control lighting in different areas with different brightness; the lighting adjustment unit is used to adjust the lighting brightness of each area of ​​the road surface around the vehicle in real time according to the road surface light intensity adjustment value data; The input end of the lighting adjustment unit is connected to the regionalized lighting unit and the output end of the data analysis module.

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