Intelligent control system applied to street lights

Abstract

The present invention discloses an intelligent control system applied to street lamps. The key points of the technical solution are as follows: it includes a pattern recognition subsystem, a lamp control subsystem, and a guiding subsystem. It also includes a compensation lamp group and a guiding signboard arranged on the street lamp. The compensation lamp group includes a number of compensation lamps, and the compensation lamps are used to provide laser beams to improve the lighting visibility. The guiding signboard is used to form a lane guiding map to guide vehicles to obtain vehicle information within the lane. The pattern recognition subsystem includes a weather module, a detection module, and a simulation lamp module. Visibility data representing the visibility is generated according to the pattern recognition subsystem. The lamp control subsystem includes an analysis module and a regulation module. The lamp control subsystem generates compensation data for compensated illumination according to the visibility data. The guiding subsystem includes guiding lamps and an intelligent guiding module. The guiding subsystem controls the guiding signboard and / or the guiding lamps to perform guiding indications according to the visibility data.

Description

Technical Field

[0001] The present invention relates to the technical field of street lamp control systems, and more particularly to an intelligent control system applied to street lamps. Background Art

[0002] Street lamps are commonly used lighting devices on roads, streets, and public squares. The distance between street lamps is usually set at 25 - 50M. The street lamp time controller is used to control the street lamps to turn on and off according to the set time. When the predetermined time is reached, the street lamps are controlled to turn on or off. However, due to seasonal changes, the time of sunrise and sunset will deviate, resulting in the fact that the timing control of street lamps cannot well meet the accurate turning on or off of street lamps. Moreover, current street lamps generally use LED lights for lighting. During lighting, due to the high height of the light source, there is a situation where sufficient lighting cannot be achieved in extreme weather. Especially in some seasons, there is often heavy fog in the early morning, resulting in difficulty in obtaining the road conditions even with the illumination of street lamps when driving a vehicle, and it is easy to cause traffic accidents due to blocked vision. Therefore, there is an urgent need for a street lamp intelligent control system that can switch the illumination mode of street lamps in extreme weather conditions to improve the illumination brightness in extreme weather and provide road condition assistance. Summary of the Invention

[0003] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide an intelligent control system applied to street lamps, which has the effect of switching the illumination mode of street lamps in extreme weather and providing road condition assistance for acquisition.

[0004] To achieve the above purpose, the present invention provides the following technical solutions:

[0005] An intelligent control system applied to street lamps includes a mode recognition subsystem, a lamp control subsystem, and a guidance subsystem. It also includes a compensation lamp group and a guidance signboard arranged on the street lamp. The compensation lamp group includes several compensation lamps, and the compensation lamps are used to provide laser beams to improve the visibility of illumination. The guidance signboard is used to form a lane guidance map to guide vehicles to obtain vehicle information in the lane;

[0006] The mode recognition subsystem includes a weather module, a detection module, and a simulated lamp module. The simulated lamp module includes a camera unit and a simulated lamp arranged on the lamp post. The simulated lamp is used to simulate the low beam of a vehicle. The weather module is used to obtain real-time weather information and generate a control instruction when an extreme weather that affects visibility is obtained. The detection module includes a detection lead wire arranged between the lamp posts and a configured detection strategy. Detection marks are arranged at intervals on the detection lead wire. The detection strategy includes controlling the simulated lamp to irradiate along the direction of the detection lead wire when receiving the control instruction, controlling the camera unit to continuously take pictures to obtain the detection marks, and generating visibility data based on the recognition of the detection marks;

[0007] The lamp control subsystem includes an analysis module and a regulation module. The analysis module is used to retrieve visibility data and generate compensation data based on the visibility data. A regulation compensation strategy is configured in the regulation module. The regulation compensation strategy includes controlling the irradiation wattage and irradiation angle of the compensation lamp group according to the compensation data to form compensation irradiation for the lane.

[0008] The guiding subsystem includes guiding lamps and an intelligent guiding module. A plurality of guiding lamps are arranged along the height direction of the lamp post of the street lamp. A guiding strategy is configured in the intelligent guiding module. The guiding strategy includes retrieving visibility data, generating a guiding level according to the visibility data, and controlling guiding signs and / or guiding lamps for guiding indication according to the guiding level.

[0009] As a further improvement of the present invention, a positioning strategy is configured in the weather module. The positioning strategy is specifically as follows:

[0010] Taking any road as a unit, positioning tags are set in the street lamps at both ends of the road. The positioning tags are used to store the longitude and latitude information of the street lamps. A regional distribution network is formed with districts as groups, cities as parent chains, and provinces as main networks. When it is obtained that there is an extreme weather affecting visibility, identify the distribution network where the extreme weather is located, and finally obtain a longitude and latitude data table affected. Send a regulation instruction to the corresponding street lamp for detection and identification according to the longitude and latitude data table.

[0011] As a further improvement of the present invention, a basic image is also configured in the detection module. The basic image represents an image of the clarity of detection marks under normal visibility conditions. The distance between the detection marks is set in units of 5m. The specific method for the detection strategy to generate visibility data includes:

[0012] Set the shooting frequency of the camera unit. The shooting frequency represents the number of consecutive shootings of the same detection mark. Retrieve the visibility value of the weather information to form a reference value. Shoot the detection marks on the detection lead at the shooting frequency in sequence to generate a mark image folder. Obtain the clearest image in the mark image folder as the mark image. Compare the mark images with different distances with the basic image, and set a ratio threshold. The ratio threshold represents the ratio of the clarity between the mark image and the basic image. Identify the position of the detection lead where the detection mark lower than the ratio threshold is located. Take the distance corresponding to the position of this detection mark as the actual value of visibility, and set a visibility weight. After correcting the actual value according to the visibility weight and taking the difference with the reference value, if it is negative, assign the actual value to the visibility data, and if it is positive, assign the reference value to the visibility data.

[0013] As a further improvement of the present invention, a fuzzy correction weight is also configured in the detection module. The detection strategy further includes:

[0014] Before detecting the identification mark, first control the camera unit to debug and photograph the detection mark along the detection lead to form a debug image, and compare the debug image with the base image. If the clarity of the debug image formed by photographing the detection mark is lower than that of the base image, and the number of images with clarity lower than that of the base image reaches 50% of the number of detection marks, then correct the clarity of the base image with a blur correction weight, and use the corrected clarity of the base image as the comparison basis for the identification image.

[0015] As a further improvement of the present invention, an analysis strategy for generating compensation data is configured in the analysis module. The compensation data includes the slitting quantity and the compensation light spot. The analysis strategy includes:

[0016] Fit the diffuse reflection light spot formed by the street lamp under normal illumination, perform edge delineation processing on the diffuse reflection light spot and correct it to form a circular base light spot, divide the visibility data into compensation levels, and generate a dividing line for cutting the base light spot according to the compensation level. Determine the slitting quantity of the equal division cutting of the base light spot by the dividing line according to the compensation level, and fit the light spot area formed by the slitting of the base light spot based on the slitting quantity to form a compensation light spot. The compensation light spot includes the light spot area and the beam intensity. The light spot area is the light spot of the inscribed circle formed by being tangent to the adjacent dividing line and the base light spot respectively. The beam intensity represents the wattage output by the compensation lamp group determined according to the compensation level.

[0017] As a further improvement of the present invention, the compensation strategy is specifically:

[0018] Retrieve the beam intensity to control the irradiation wattage of the compensation lamp group to form a compensation light spot corresponding to the compensation level;

[0019] Retrieve the height, light spot area and slitting quantity of the street lamp, determine the number of compensation lamps to be turned on in the compensation lamp group based on the slitting quantity, and form a trigonometric function relationship according to the height of the street lamp and the radius value of the base light spot to determine the irradiation angle of the compensation lamp, so that the compensation lamp irradiates to form a fitted compensation light spot.

[0020] As a further improvement of the present invention, the guiding strategy specifically includes:

[0021] Retrieve the compensation level divided for visibility data, and form a guidance level corresponding to the compensation level according to the compensation level. The compensation level includes low visibility, medium visibility, and high visibility. The guidance level includes indicator light guidance, comprehensive guidance, and sign guidance. The indicator light guidance indicates that the visibility corresponds to low visibility, and at this time, the guiding light is controlled to give a guiding indication. The comprehensive guidance indicates that the visibility corresponds to medium visibility, and at this time, the guiding light and the guiding sign are controlled to jointly give a guiding indication. The sign guidance indicates that the visibility corresponds to high visibility, and at this time, the guiding sign is controlled to give a guiding indication.

[0022] As a further improvement of the present invention, the guiding light includes a guiding lamp and a guiding lamp strip. The guiding lamp strip is used to connect adjacent guiding lamps. A distance reduction ratio is configured in the intelligent guiding module. The distance reduction ratio represents the distance value formed by reducing the distance between street lamps by the distance reduction ratio for setting the guiding lamp on the lamp post of the street lamp. Determine the length of the guiding lamp strip according to the number of guiding lamps set and the distance reduction ratio, and form a distance guiding mark on one side of the guiding lamp strip. The distance guiding mark represents the actual distance value between adjacent street lamps represented by the guiding lamp strip.

[0023] The guiding strategy specifically further includes:

[0024] When the guiding light gives a guiding indication, if the vehicle passes the position of the street lamp, control the first guiding lamp to display a red flash, and the adjacent guiding lamps to display a yellow flash. At this time, the guiding lamp strip between the two guiding lamps will display the traveled section in red and the un-traveled section in yellow according to the actual position of the vehicle traveling between the street lamps. When the actual distance traveled by the vehicle exceeds the distance represented by the guiding lamp strip, the guiding lamp strip is displayed in green, and the guiding lamps corresponding to the actual positions where the vehicle has passed or not reached are displayed in green.

[0025] As a further improvement of the present invention, the guiding sign includes a lane schematic diagram and a vehicle simulation mark. A distance reduction ratio is also configured in the guiding sign. According to the distance reduction ratio, the actual distance value between street lamps is scaled to form the lane schematic length corresponding to the lane schematic diagram. The guiding strategy specifically further includes:

[0026] Identify the vehicle information entering the distance between adjacent street lamps and form a vehicle simulation mark for display in the lane schematic diagram. An identification threshold is also configured in the intelligent guiding module. The identification threshold represents the distance value for forming a vehicle simulation mark in the same lane. If there are other vehicles within the identification threshold range in the same lane, a new vehicle simulation mark will be formed to remind the driver that there are vehicles in front of or behind the lane where the driver is located.

[0027] As a further improvement of the present invention, a start strategy is also configured in the detection module. The start strategy includes:

[0028] When no regulation instruction is received, control the street lamp to irradiate normally and turn off the compensation lamp group;

[0029] After receiving the regulation instruction, also control the street lamps at the beginning or end of the road to detect the intersection. If a vehicle is detected entering, generate a start instruction, and control the street lamps that receive the regulation instruction to start the intelligent regulation system according to the start instruction.

[0030] The beneficial effects of the present invention are as follows: By setting a compensation lamp group and a guiding sign on the street lamp, control the compensation irradiation and guiding indication when the visibility is low due to weather influence. After obtaining the weather information by the weather module, form a regulation instruction to intelligently regulate the street lamp. Under the action of the detection module, generate visibility data, and analyze based on the visibility data to form compensation data for controlling the compensation lamp group to perform compensation irradiation, so as to adjust the compensation lamp group for compensation irradiation according to different visibility data, so as to provide sufficient lighting to improve visibility. And under the action of the intelligent guiding module, further control the guiding lamp and / or guiding sign according to the visibility data to intelligently guide the vehicle information in the lane, so as to remind the vehicle owners in the lane and improve driving safety, achieving the effect of switching the irradiation mode of the street lamp in extreme weather and providing assistance for obtaining road conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 To show the overall system diagram of the present invention;

[0032] Figure 2 To show the structural schematic diagram of the detection lead wires arranged between the street lamps;

[0033] Figure 3 To show the structural schematic diagram of the guiding lamp and the guiding sign;

[0034] Figure 4 To show the schematic diagram of the compensation light spot.

[0035] Reference numerals: 1. Pattern recognition subsystem; 11. Weather module; 12. Detection module; 13. Simulation lamp module; 131. Camera unit; 132. Simulation lamp; 2. Lamp control subsystem; 21. Analysis module; 22. Regulation module; 3. Guiding subsystem; 31. Guiding lamp; 32. Intelligent guiding module; 4. Guiding sign; 5. Detection lead wire; 6. Detection mark; 7. Basic light spot; 71. Tangent line; 8. Compensation light spot. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0036] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The same components are denoted by the same reference numerals. It should be noted that the terms "front", "rear", "left", "right", "upper" and "lower" used in the following description refer to the directions in the drawings, and the terms "bottom surface" and "top surface", "inner" and "outer" refer to the directions towards or away from the geometric center of a specific component, respectively.

[0037] Reference Figures 1 to 4 As shown, a specific implementation of an intelligent control system for street lamps according to the present invention includes a pattern recognition subsystem 1, a lamp control subsystem 2 and a guiding subsystem 3, and further includes a compensation lamp group and a guiding sign 4 provided on the street lamp. The compensation lamp group includes a plurality of compensation lamps, and the compensation lamps are used to provide laser beams to improve the illumination visibility. The guiding sign 4 is used to form a lane guiding map to guide vehicles to obtain vehicle information in the lane.

[0038] The pattern recognition subsystem 1 includes a weather module 11, a detection module 12 and a simulated lamp module 13. The simulated lamp module 13 includes a camera unit 131 and a simulated lamp 132 provided on the lamp post. The simulated lamp 132 is used to simulate the low beam of a vehicle. The weather module 11 is used to obtain real-time weather information and generate a control command when extreme weather affecting visibility is obtained. The detection module 12 includes a detection lead 5 provided between the lamp posts and a configured detection strategy. Detection marks 6 are arranged at intervals on the detection lead 5. The detection strategy includes controlling the simulated lamp 132 to irradiate along the direction of the detection lead 5 when a control command is received, controlling the camera unit 131 to continuously take pictures to obtain the detection marks 6, and generating visibility data based on the recognition of the detection marks 6.

[0039] The lamp control subsystem 2 includes an analysis module 21 and a control module 22. The analysis module 21 is used to retrieve the visibility data and generate compensation data according to the visibility data. A control compensation strategy is configured in the control module 22. The control compensation strategy includes controlling the irradiation wattage and irradiation angle of the compensation lamp group according to the compensation data to form a compensation irradiation for the lane.

[0040] The guiding subsystem 3 includes guiding lamps 31 and an intelligent guiding module 32. A plurality of guiding lamps 31 are arranged along the height direction of the lamp post of the street lamp. A guiding strategy is configured in the intelligent guiding module 32. The guiding strategy includes retrieving the visibility data, generating a guiding level according to the visibility data, and controlling the guiding sign 4 and / or the guiding lamps 31 to give guiding instructions according to the guiding level.

[0041] A positioning strategy is configured in the weather module 11. The positioning strategy is specifically:

[0042] Taking any road as a unit, positioning tags are set in the street lights at both ends of the road. The positioning tags are used to store the longitude and latitude information of the street lights. A regional distribution network is formed with districts as groups, cities as parent chains, and provinces as main networks. When it is detected that there is an extreme weather affecting visibility, the distribution network where the extreme weather is located is identified, and finally a data table of affected longitude and latitude is obtained. According to the data table of longitude and latitude, a control instruction is sent to the corresponding street light for detection and identification.

[0043] A basic image is also configured in the detection module 12. The basic image represents an image of the clarity of the detection mark 6 under normal visibility conditions. The distance between the detection marks 6 is set in units of 5m. The specific method for the detection strategy to generate visibility data includes:

[0044] Set the shooting frequency of the camera unit 131. The shooting frequency represents the number of consecutive shootings of the same detection mark 6. Obtain the visibility value of the weather information as a reference value. Shoot the detection marks 6 on the detection lead 5 in sequence at the shooting frequency to generate a folder of identification images. Obtain the clearest image in the folder of identification images as the identification image. Compare the identification images with different distances with the basic image, and set a ratio threshold. The ratio threshold represents the ratio of the clarity between the identification image and the basic image. Identify the position of the detection lead 5 where the detection mark 6 with a ratio lower than the threshold is located. Take the distance corresponding to the position of this detection mark 6 as the actual value of visibility, and set a visibility weight. After correcting the actual value according to the visibility weight, calculate the difference with the reference value. If it is negative, assign the actual value to the visibility data. If it is positive, assign the reference value to the visibility data.

[0045] A fuzzy correction weight is also configured in the detection module 12. The detection strategy also includes:

[0046] Before identifying the detection mark 6, first control the camera unit 131 to debug and shoot the detection marks 6 along the detection lead 5 to form a debug image. Compare the debug image with the basic image. If the clarity of the debug image formed by shooting the detection mark 6 is lower than the basic image, and the number of images with clarity lower than the basic image reaches 50% of the number of detection marks 6, then correct the clarity of the basic image with the fuzzy correction weight, and use the corrected clarity of the basic image as the comparison basis for the identification image.

[0047] An analysis strategy for generating compensation data is configured in the analysis module 21. The compensation data includes the slitting quantity and the compensation light spot 8. The analysis strategy includes:

[0048] Fit the diffuse reflection spot formed by the street lamp under normal illumination, perform edge delineation processing on the diffuse reflection spot and correct it to form a circular basic spot 7, divide the visibility data into compensation levels, generate a tangent line 71 for cutting the basic spot 7 according to the compensation level, determine the number of cuts for equally dividing the basic spot 7 by the tangent line 71 according to the compensation level, and fit the spot areas obtained by dividing the basic spot 7 based on the number of cuts to form a compensation spot 8. The compensation spot 8 includes a spot area and a beam intensity. The spot area is the spot of the inscribed circle formed by being tangent to the adjacent tangent lines 71 and the basic spot 7 respectively. The beam intensity represents the wattage output by the compensation lamp group determined according to the compensation level.

[0049] The specific compensation strategy is as follows:

[0050] Retrieve the irradiation wattage of the compensation lamp group by the beam intensity to form a compensation spot 8 corresponding to the compensation level;

[0051] Retrieve the height, spot area and number of cuts of the street lamp, determine the number of compensation lamps to be turned on in the compensation lamp group based on the number of cuts, and form a trigonometric function relationship according to the height of the street lamp and the radius value of the basic spot 7 to determine the irradiation angle of the compensation lamp, so that the compensation lamp irradiates to form a fitted compensation spot 8.

[0052] The specific guiding strategy includes:

[0053] Retrieve the compensation level divided from the visibility data, and form a guiding level corresponding to the compensation level according to the compensation level. The compensation levels include low visibility, medium visibility and high visibility. The guiding levels include indicator light guidance, comprehensive guidance and sign guidance. The indicator light guidance indicates that the visibility corresponds to low visibility. At this time, control the guiding lamp 31 to give a guiding indication. The comprehensive guidance indicates that the visibility corresponds to medium visibility. At this time, control the guiding lamp 31 and the guiding sign 4 to give guiding indications together. The sign guidance indicates that the visibility corresponds to high visibility. At this time, control the guiding sign 4 to give a guiding indication.

[0054] The guiding lamp 31 includes a guiding light and a guiding light strip. The guiding light strip is used to connect adjacent guiding lights. A distance reduction ratio is configured in the intelligent guiding module. The distance reduction ratio represents the distance value at which the guiding lamp 31 is set on the lamp post of the street lamp by reducing the distance between the street lamps according to the distance reduction ratio. Determine the length of the guiding light strip according to the number of guiding lights set and the distance reduction ratio, and form a distance guiding mark on one side of the guiding light strip. The distance guiding mark represents the actual distance value between adjacent street lamps indicated by the guiding light strip;

[0055] The specific guiding strategy also includes:

[0056] When the guiding lamp 31 gives a guiding indication, if the vehicle passes the street lamp position, the first guiding lamp is controlled to display red flashing, and the adjacent guiding lamps display yellow flashing. At this time, according to the actual position of the vehicle traveling between the street lamps, the guiding lamp belt between the two guiding lamps shows the traveled section in red and the non-traveled section in yellow. When the actual distance traveled by the vehicle exceeds the distance indicated by the guiding lamp belt, the guiding lamp belt is displayed in green, and the guiding lamp 31 corresponding to the actual position where the vehicle has passed or not reached is displayed in green.

[0057] The guiding sign 4 includes a lane schematic diagram and a vehicle simulation mark. The guiding sign 4 is also configured with a distance scale ratio. According to the distance scale ratio, the actual distance value between the street lamps is scaled to form the lane schematic length corresponding to the lane schematic diagram. The guiding strategy specifically further includes:

[0058] Identify the vehicle information entering the distance between adjacent street lamps and form a vehicle simulation mark for display in the lane schematic diagram. The intelligent guiding module is also configured with an identification threshold, which represents the distance value for forming a vehicle simulation mark in the same lane. If there are other vehicles within the identification threshold range in the same lane, a new vehicle simulation mark will be formed to remind the driver that there are vehicles in front of or behind the lane where the driver is located.

[0059] The detection module 12 is also configured with a startup strategy, and the startup strategy includes:

[0060] If no regulation instruction is received, control the street lamp to irradiate normally and turn off the compensation lamp group;

[0061] If a regulation instruction is received, also control the street lamps at the beginning or end of the road to detect the intersection. If a vehicle is detected entering, generate a startup instruction, and control the street lamps receiving the regulation instruction to start the intelligent regulation system according to the startup instruction.

[0062] Working principle and its effect:

[0063] By setting a compensation lamp group and a guiding sign 4 on the street lamp, control the compensation irradiation and guiding indication when the visibility is low due to weather influence. After the weather module 11 obtains the weather information, generate a regulation instruction to perform intelligent regulation on the street lamp. Under the action of the detection module 12, generate visibility data, and analyze the visibility data to form compensation data for controlling the compensation lamp group to perform compensation irradiation, so as to adjust the compensation lamp group for compensation irradiation according to different visibility data to provide sufficient illumination and improve visibility. And under the action of the intelligent guiding module, further control the guiding lamp 31 and / or the guiding sign 4 according to the visibility data to perform intelligent guidance on the vehicle information in the lane, so as to remind the vehicle owners in the lane and improve driving safety, achieving the effect of switching the street lamp irradiation mode in extreme weather and providing road condition assistance for acquisition.

[0064] The above are only the preferred embodiments of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions falling within the concept of the present invention belong to the protection scope of the present invention. It should be noted that for those of ordinary skill in the art, several improvements and refinements made without departing from the principle of the present invention should also be regarded as within the protection scope of the present invention.

Claims

1. An intelligent control system applied to street lamps, characterized in that: It includes a pattern recognition subsystem (1), a lamp control subsystem (2), and a guidance subsystem (3), and also includes a compensation lamp group and a guidance sign (4) provided on the street lamp. The compensation lamp group includes a number of compensation lamps, and the compensation lamps are used to provide laser beams to improve lighting visibility. The guidance sign (4) is used to form a lane guidance map to guide vehicles to obtain vehicle information in the lane; The pattern recognition subsystem (1) includes a weather module (11), a detection module (12), and a simulated lamp module (13). The simulated lamp module (13) includes a camera unit (131) and a simulated lamp (132) provided on the lamp post. The simulated lamp (132) is used to simulate the low beam of a vehicle. The weather module (11) is used to obtain real-time weather information and generate a control command when an extreme weather affecting visibility is obtained. The detection module (12) includes a detection lead (5) arranged between the lamp posts and a configured detection strategy. Detection marks (6) are arranged at intervals on the detection lead (5). The detection strategy includes controlling the simulated lamp (132) to irradiate along the direction of the detection lead (5) when receiving the control command, controlling the camera unit (131) to continuously take pictures to obtain the detection marks (6), and generating visibility data based on the recognition of the detection marks (6); The lamp control subsystem (2) includes an analysis module (21) and a regulation module (22). The analysis module (21) is used to retrieve the visibility data and generate compensation data according to the visibility data. A regulation compensation strategy is configured in the regulation module (22). The regulation compensation strategy includes controlling the irradiation wattage and irradiation angle of the compensation lamp group according to the compensation data to form a compensation irradiation for the lane; The guidance subsystem (3) includes a guidance lamp (31) and an intelligent guidance module (32). A number of the guidance lamps (31) are arranged along the height direction of the lamp post of the street lamp. A guidance strategy is configured in the intelligent guidance module (32). The guidance strategy includes retrieving the visibility data, generating a guidance level according to the visibility data, and controlling the guidance sign (4) and / or the guidance lamp (31) to give a guidance indication according to the guidance level.

2. The intelligent control system applied to street lamps according to claim 1, characterized in that: A positioning strategy is configured in the weather module (11), and the positioning strategy is specifically: Taking any road as a unit, positioning tags are set in the street lamps at both ends of the road. The positioning tags are used to store the longitude and latitude information of the street lamps. Forming a regional distribution network with districts as groups, cities as parent chains, and provinces as main networks. When it is obtained that there is extreme weather affecting visibility, identify the distribution network where the extreme weather is located, and finally obtain a longitude and latitude data table affected. Send a control command to the corresponding street lamp according to the longitude and latitude data table for detection and recognition.

3. The intelligent control system applied to street lamps according to claim 2, wherein: A basic image is also configured in the detection module (12). The basic image represents an image of the clarity of the detection marks (6) when the visibility is in a normal state. The distance between the detection marks (6) is set in units of 5m. The specific way for the detection strategy to generate visibility data includes: Set the imaging frequency of the imaging unit (131), where the imaging frequency represents the number of consecutive images taken of the same detection mark (6). Retrieve the visibility value of the weather information to form a reference value. Take images of the detection marks (6) on the detection lead (5) at the imaging frequency in sequence to generate a mark image folder. Obtain the clearest image in the mark image folder as the mark image. Compare the mark images with different spacings with the base image, and set a ratio threshold, where the ratio threshold represents the ratio of the clarity between the mark image and the base image. Identify the position of the detection lead (5) where the detection mark (6) with a ratio lower than the ratio threshold is located, and use the distance corresponding to the position of this detection mark (6) as the actual value of visibility. Set a visibility weight, and after correcting the actual value according to the visibility weight, perform a difference operation with the reference value. If it is negative, assign the actual value to the visibility data; if it is positive, assign the reference value to the visibility data.

4. The intelligent control system applied to street lamps according to claim 3, wherein: A fuzzy correction weight is also configured in the detection module (12), and the detection strategy further includes: Before identifying the detection mark (6), first control the imaging unit (131) to perform a debugging shot of the detection marks (6) along the detection lead (5) to form a debugging image. Compare the debugging image with the base image. If the clarity of the debugging image formed by taking the image of the detection mark (6) is lower than that of the base image, and the number of images with clarity lower than that of the base image reaches 50% of the number of detection marks (6), then correct the clarity of the base image with the fuzzy correction weight, and use the corrected clarity of the base image as the comparison basis for the mark image.

5. The intelligent control system applied to street lamps according to claim 4, wherein: An analysis strategy for generating compensation data is configured in the analysis module (21), where the compensation data includes the slitting quantity and the compensation spot (8), and the analysis strategy includes: Fit the diffuse reflection spots formed by the street lamps under normal illumination, perform edge delineation processing on the diffuse reflection spots and correct them to form a circular base spot (7). Divide the visibility data into compensation levels, and generate a dividing line (71) for cutting the base spot (7) according to the compensation level. Determine the slitting quantity of the equal division cutting of the base spot (7) by the dividing line (71) according to the compensation level. Fit the spot regions obtained by slitting the base spot (7) based on the slitting quantity to form a compensation spot (8). The compensation spot (8) includes a spot area and a beam intensity. The spot area is the spot of the inscribed circle formed by being tangent to the adjacent dividing lines (71) and the base spot (7) respectively. The beam intensity represents the wattage output by the compensation lamp group determined according to the compensation level.

6. The intelligent control system applied to street lamps according to claim 5, characterized in that: The specific compensation strategy is as follows: Retrieve the beam intensity to control the irradiation wattage of the compensation lamp group to form a compensation spot (8) corresponding to the compensation level; Retrieve the height, spot area, and slitting quantity of the street lamp. Based on the slitting quantity, determine the number of compensation lamps to be turned on in the compensation lamp group, and form a trigonometric function relationship according to the height of the street lamp and the radius value of the base spot (7) to determine the irradiation angle of the compensation lamp, so that the compensation lamp irradiates to form a fitted compensation spot (8).

7. The intelligent control system applied to street lamps according to claim 6, characterized in that: The specific guiding strategy includes: Retrieve the compensation level divided for visibility data, and form a guiding level corresponding to the compensation level according to the compensation level. The compensation level includes low visibility, medium visibility, and high visibility. The guiding level includes indicator light guidance, comprehensive guidance, and sign guidance. The indicator light guidance indicates that the visibility corresponds to low visibility. At this time, control the guiding light (31) to give a guiding indication. The comprehensive guidance indicates that the visibility corresponds to medium visibility. At this time, control the guiding light (31) and the guiding sign (4) to give a guiding indication together. The sign guidance indicates that the visibility corresponds to high visibility. At this time, control the guiding sign (4) to give a guiding indication.

8. The intelligent control system applied to street lamps according to claim 7, characterized in that: The guiding light (31) includes a guiding lamp and a guiding lamp strip. The guiding lamp strip is used to connect adjacent guiding lamps. A distance reduction ratio is configured in the intelligent guiding module (32). The distance reduction ratio represents forming the distance value set by the guiding light (31) on the lamp post of the street lamp by reducing the distance between street lamps according to the distance reduction ratio. Determine the length of the guiding lamp strip according to the number of guiding lamps set and the distance reduction ratio, and form a distance guiding mark on one side of the guiding lamp strip. The distance guiding mark represents the actual distance value between adjacent street lamps indicated by the guiding lamp strip; The guiding strategy specifically further includes: When the guiding light (31) gives a guiding indication, if the vehicle passes through the position of the street lamp, control the first guiding lamp to display a red flash, and the adjacent guiding lamps to display a yellow flash. At this time, the guiding lamp strip between the two guiding lamps displays the traveled section in red and the non-traveled section in yellow according to the actual position of the vehicle traveling between the street lamps. When the actual distance traveled by the vehicle exceeds the distance indicated by the guiding lamp strip, the guiding lamp strip is displayed in green, and the guiding lamp (31) corresponding to the actual position where the vehicle has passed or not reached is displayed in green.

9. The intelligent regulation system applied to street lamps according to claim 8, characterized in that: The guiding sign (4) includes a lane schematic diagram and a vehicle simulation mark. A distance reduction ratio is also configured in the guiding sign (4). Scale the actual distance value between street lamps according to the distance reduction ratio to form the lane schematic length corresponding to the lane schematic diagram. The guiding strategy specifically further includes: Identify the vehicle information entering the distance between adjacent street lamps and form a vehicle simulation mark to be displayed in the lane schematic diagram. An identification threshold is also configured in the intelligent guiding module (32). The identification threshold represents the distance value for forming a vehicle simulation mark in the same lane. If there is another vehicle within the identification threshold range in the same lane, a new vehicle simulation mark will be formed to remind the driver that there is a vehicle in front of or behind the lane where the driver is located.

10. The intelligent control system applied to street lamps according to claim 9, characterized in that: An activation strategy is also configured in the detection module (12). The activation strategy includes: If no regulation instruction is received, control the street lamp to irradiate normally and turn off the compensation lamp group; If a regulation instruction is received, also control the street lamp at the beginning or end of the road to detect the intersection. If a vehicle is detected entering, generate an activation instruction, and control the street lamp receiving the regulation instruction to activate the intelligent regulation system according to the activation instruction.

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