Intelligent street lamp cloud platform control management system

Abstract

The invention relates to the field of street lamp cloud platform control management, in particular to an intelligent street lamp cloud platform control management system which comprises a sensing acquisition module, an intelligent lamp service life management module, a street lamp collision decision module, an intelligent color temperature adjustment module, a cloud platform center module and the like. The intelligent lamp service life management module analyzes the residual service life of the lamp according to the physical damage coefficient, the accumulated lighting duration and the lamp power difference value, and sends a replacement prompt to the cloud platform center when the residual service life exceeds a threshold value; the street lamp collision decision-making module is started through a collision triggering mechanism, analyzes acceleration and pressure parameter values and collision videos, judges a collision abnormal state, marks accident street lamps and informs the intelligent color temperature adjusting module. The intelligent color temperature adjusting module carries out priority ranking and color temperature adjusting on the surrounding street lamps according to the positions of the accident street lamps, the cloud platform center creates a user operation interface through the display screen, intelligent management after collision of the street lamps is achieved, the illumination quality is improved, and traffic safety is guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of street lamp cloud platform control and management, and in particular to a smart street lamp cloud platform control and management system. Background Art

[0002] With the acceleration of urban modernization, street lamps, as an important part of urban lighting infrastructure, are increasing in number and becoming increasingly difficult to manage. In terms of lamp maintenance and management, there is a lack of effective lamp life monitoring and prediction methods. The performance of street lamps will gradually decline during long-term use. Since it is impossible to accurately grasp the remaining service life of lamps in a timely manner, they can only be replaced and repaired after they are completely damaged.

[0003] Traditional street lighting systems have a slow response speed and lack effective emergency response mechanisms when dealing with emergencies (such as street lights being damaged by collisions). Once a street light pole is hit, it is impossible to detect the accident in time and take corresponding measures, such as adjusting the surrounding street lighting to make up for the lighting blind spot, which may cause a secondary accident. There is an information island phenomenon between the street lighting system and other urban management systems, and data cannot be shared and interacted, making it difficult to achieve collaborative and intelligent urban management.

[0004] In order to solve the above problems, a smart street lamp cloud platform control and management system is particularly necessary. The present invention aims to overcome the defects of traditional street lamp systems and promote the development of urban lighting in a more intelligent direction. Summary of the invention

[0005] In order to solve the technical problems raised by the above-mentioned background technology, the present invention provides a smart street lamp cloud platform control and management system.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] The present invention is a smart street lamp cloud platform control and management system, comprising a sensor acquisition module, an intelligent lamp life management module, a street lamp collision decision module, an intelligent color temperature adjustment module, a cloud platform center and a database.

[0008] The sensor acquisition module obtains street lamp self-inspection information and external video information in real time based on the sensors installed on the street lamps, and uploads the data to the cloud platform center. The specific process is as follows:

[0009] Install various types of sensors on street lamps, including current sensors, voltage sensors, acceleration sensors, pressure sensors, image sensors and light sensors;

[0010] The self-check time is set at 10 o'clock every day in the cloud platform center, and a self-check instruction is intelligently generated and sent to each street light control terminal. Each street light control terminal collects the current data and voltage data of the street light in real time through the current sensor and voltage sensor, and obtains the real-time current parameter value and voltage parameter value of the street light; the appearance image of the street light fixture is collected in real time through the image sensor, and the appearance image of the street light fixture is obtained;

[0011] The acceleration sensor, pressure sensor and image sensor are set to collect data in real time for 24 hours. When receiving the collection instruction, the acceleration sensor is used to detect the acceleration data of the object before the road pole is hit in real time, and the detected acceleration data is extracted to obtain the acceleration parameter value of the object. The pressure sensor is used to detect the pressure data when the object collides with the street lamp in real time, and the detected pressure data is extracted to obtain the pressure parameter value of the street lamp. The image sensor is used to collect images of the object five minutes before and after the collision to obtain the object collision video;

[0012] The ambient light data is collected in real time through the light sensor to obtain the ambient light intensity outside the street lamp.

[0013] The intelligent lamp life management module intelligently analyzes the remaining service life of the lamp based on the physical damage coefficient, cumulative lighting time and lamp power difference. If it is higher than the preset threshold, it automatically sends a replacement reminder message to the cloud platform center. The specific process is as follows:

[0014] Obtain the appearance image of each lamp, identify and extract the total damaged area, total number of damaged lamps, deformed area and total number of deformed lamps in the appearance image, mark them as ros1, ros2, ros3 and ros4 respectively, normalize the total damaged area, total number of damaged lamps, deformed area and total number of deformed lamps and substitute them into the formula TY=(ros1×ros2)×Q1+(ros3×ros4)×Q2 to obtain the physical damage coefficient TY of each lamp, where Q1 and Q2 are preset proportional coefficients;

[0015] The installation time of each lamp is obtained to obtain the installation time point corresponding to each lamp, and the installation time point of each lamp is taken as the first moment, and the light-on time point and the light-off time point of each lamp are monitored every day, and the light-on time point and the light-off time point are subtracted to obtain the daily lighting duration, and the current time point is taken as the second moment, and the daily lighting durations within the first moment and the second moment are added to obtain the cumulative lighting duration TI of the lamp;

[0016] Obtain the voltage parameter value and current parameter value of the lamp, obtain the real-time power of the lamp according to the voltage parameter value and the current parameter value, extract the standard power range of the lamp in the data center, and subtract the real-time power of the lamp from the maximum value of the standard power range of the lamp to obtain the real-time difference value YR of the lamp power;

[0017] Normalize the physical damage coefficient, cumulative lighting time and real-time difference of lamp power and substitute them into the formula for calculation The loss assessment value YFD of each lamp is obtained, where Q3, Q4 and Q5 are weight factors corresponding to the physical damage coefficient, the cumulative lighting time and the real-time difference of the lamp power; i represents the number of each lamp, and n represents the total number of lamps;

[0018] Extract the preset lamp loss range in the database, compare the loss assessment value with the preset lamp loss range, if the loss assessment value of a lamp is less than the minimum value of the preset street lamp loss range, mark the lamp corresponding to the loss assessment value as a lamp that does not need to be replaced; and so on, if the loss assessment value of a lamp is equal to the preset street lamp loss range, mark the lamp corresponding to the loss assessment value as a lamp to be replaced; if the loss assessment value of a lamp is greater than the maximum value of the preset street lamp loss range, mark the lamp corresponding to the loss assessment value as a lamp that urgently needs to be replaced, and send the location and number of the lamp that urgently needs to be replaced to the cloud platform center.

[0019] The street light collision decision module analyzes the collected acceleration parameter values, pressure parameter values ​​and object collision video according to the activated street light collision trigger mechanism. The specific process is as follows:

[0020] Set up a street light collision trigger mechanism, specifically: when the street light pole is hit, extract the corresponding acceleration parameter value and compare it with the preset acceleration collision threshold. If the real-time acceleration parameter value is greater than the preset acceleration collision threshold, the street light collision decision module is intelligently turned on. The street light collision decision module generates a collection instruction and sends it to the data collection module.

[0021] Set a preset acceleration monitoring period, divide the preset acceleration monitoring period into several preset acceleration monitoring sub-periods, one preset acceleration sub-period corresponds to one acceleration parameter value, arrange the acceleration parameter values ​​from large to small, mark the maximum acceleration as the acceleration peak value, extract the road pole quality from the database, and obtain the road pole collision force value according to the road pole quality and acceleration peak value analysis;

[0022] Obtain the pressure parameter values ​​of each stress-bearing part of the street light pole, each stress-bearing part includes the bottom, middle and top, take the collision contact time as the horizontal coordinate, input the collision force value of the road pole and each pressure parameter value of each stress-bearing part into the coordinate system in sequence according to the corresponding collision contact time, and record the positions of the collision force value of the road pole and the pressure parameter values ​​of each stress-bearing part in the coordinate system as the road pole collision force point, top pressure point, middle pressure point and bottom pressure point respectively; use a smooth curve to connect the road pole collision force point, top pressure point, middle pressure point and bottom pressure point in sequence respectively, and obtain the relationship diagram of the road pole collision force value and the pressure parameter value of each stress-bearing part with time, draw tangents of the curves at the positions of the road pole collision force point, top pressure point, middle pressure point and bottom pressure point respectively, and obtain the road pole collision force tangent, top pressure tangent, medium pressure tangent and bottom pressure tangent; calculate the slopes of the above tangents respectively and mark them as sk, sd, se and sc respectively;

[0023] Substitute it into the preset formula for calculation The collision abnormal state value of the road pole is obtained, wherein K1, K2, K3 and K4 are preset proportional coefficients, g represents the collision contact moment, and m represents the total number of collision contact moments; fk and fd are the standard collision force value and the standard pressure value of the road pole; the preset collision abnormal state threshold in the database is extracted, and if the collision abnormal state value is greater than the preset collision abnormal state threshold, the road pole is marked as an accident street lamp, and a lighting adjustment instruction is generated and sent to the intelligent color temperature adjustment module.

[0024] The intelligent color temperature adjustment module prioritizes and intelligently adjusts the color temperature of the street lights around the accident street lights according to the received instructions. The specific process is as follows:

[0025] Get the location of the accident street light, take the accident street light location as the center point, filter the street light positions within the radius, connect the accident street light and the positions of each street light, get the straight-line distance of each street light, and classify the street lights into four levels based on the straight-line distance of each street light, including first-level priority, second-level priority, third-level priority and fourth-level priority, specifically: first-level priority refers to the street lights in the main lighting area and within 5 meters of the accident street light, and the straight-line street lights within 10 meters of the main traffic direction of the accident section; second-level priority refers to the street lights within 5-15 meters of the main lighting area, and the lateral street lights close to the intersection within 20 meters on both sides of the accident street light; third-level priority refers to the transition street lights between the auxiliary lighting area and the main lighting, and the street lights 15-30 meters in the main traffic flow direction; fourth-level priority refers to the street lights close to the accident within 30 meters of the background lighting area;

[0026] The lighting of street lamps is adjusted in sequence from the first-level priority, the second-level priority, the third-level priority and the fourth-level priority. Specifically, after the light intensity of the first-level priority street lamp is adjusted, the light intensity distribution area of ​​the area surrounding the accident street lamp is obtained, and the preset light intensity distribution area is extracted, and the two are overlapped and matched. If there is no lighting blind spot, an adjustment completion signal is generated and sent to the cloud platform center. If there is a lighting blind spot, the street lamps of the second-level priority are continued to be adjusted until there is no lighting blind spot in the lighting intensity distribution area of ​​the accident street lamp.

[0027] The cloud platform center creates a user operation interface based on the display screen to remotely control the street lights. The specific process is as follows:

[0028] The display screen creates a user operation interface, which includes lighting status adjustment and maintenance management allocation. The lighting status adjustment includes light switch control, brightness adjustment, street light parameter initialization and real-time data query; the light switch control is for users to flexibly set the switch time of street lights according to their needs, which is divided into light on time selection and light off time selection in the display screen; brightness adjustment refers to adjusting the brightness of street lights according to the ambient light intensity and traffic flow, and the brightness of street lights is divided into brightness levels of 1, 2, 3, 4 and 5, 1 represents the minimum brightness, and 5 represents the maximum brightness; street light parameter initialization is to adjust various parameters of street lights, including sensor calibration parameters and communication parameters; real-time data query is to view various operating data of street lights through the display screen, and various operating data include current, voltage, power and light intensity;

[0029] Maintenance management allocation includes lamp adjustment and collision repair. Lamp adjustment is to receive the location and number of the lamp that needs to be replaced urgently, and send the corresponding location and number to the mobile terminal of the maintenance personnel on duty, and display the words "replace lamp" as text; collision repair is to receive the adjustment completion signal, and send the location of the street lamp to the mobile terminal of the maintenance personnel on duty, and display the words "collision repair" as text.

[0030] Compared with the prior art, the beneficial effects of the present invention are as follows: the street light collision decision module uses acceleration sensors and pressure sensors to monitor the status of street light poles in real time by setting a reasonable street light collision trigger mechanism. When the street light pole is hit and the acceleration parameter value exceeds the preset threshold, the module is quickly started and relevant data is collected; by conducting in-depth analysis of the collected acceleration parameter values, pressure parameter values ​​and object collision videos, the street pole collision force value is calculated, and the collision abnormality state value is further obtained. Once the collision abnormality state value exceeds the preset threshold, the street light is marked as an accident street light, and a lighting adjustment instruction is generated in time and sent to the intelligent color temperature adjustment module; the lighting of surrounding street lights is quickly adjusted to effectively make up for the lighting blind spots caused by damage to accident street lights, and reduce the risk of secondary accidents caused by lighting problems;

[0031] The intelligent lamp life management module comprehensively considers multiple factors such as physical damage coefficient, cumulative lighting time and lamp power difference to analyze the remaining service life of the lamp; by obtaining the total damaged area, total number of damaged items, deformation area and total number of deformations in the lamp appearance image to calculate the physical damage coefficient, it can more comprehensively evaluate the actual condition of the lamp; accurately detect and quantify these damage conditions, and combine the cumulative lighting time and power difference to accurately determine the remaining life of the lamp; when the remaining life of the lamp is lower than the preset threshold, it will promptly send a replacement reminder message to the cloud platform center to avoid lighting interruptions caused by sudden damage to the lamp and improve the reliability of the street light system. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present invention.

[0033] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0034] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present invention.

[0035] Please refer to Figure 1 As shown, the present invention is a smart street lamp cloud platform control and management system, including a sensor acquisition module, an intelligent lamp life management module, a street lamp collision decision module, an intelligent color temperature adjustment module, a cloud platform center and a database.

[0036] The sensor acquisition module obtains street lamp self-inspection information and external video information in real time based on the sensors installed on the street lamps, and uploads the data to the cloud platform center. The specific process is as follows:

[0037] Install various types of sensors on street lamps, including current sensors, voltage sensors, acceleration sensors, pressure sensors, image sensors and light sensors;

[0038] The self-check time is set at 10 o'clock every day in the cloud platform center, and a self-check instruction is intelligently generated and sent to each street light control terminal. Each street light control terminal collects the current data and voltage data of the street light in real time through the current sensor and voltage sensor, and obtains the real-time current parameter value and voltage parameter value of the street light; the appearance image of the street light fixture is collected in real time through the image sensor, and the appearance image of the street light fixture is obtained;

[0039] The acceleration sensor, pressure sensor and image sensor are set to collect data in real time for 24 hours. When receiving the collection instruction, the acceleration sensor is used to detect the acceleration data of the object before the road pole is hit in real time, and the detected acceleration data is extracted to obtain the acceleration parameter value of the object. The pressure sensor is used to detect the pressure data when the object collides with the street lamp in real time, and the detected pressure data is extracted to obtain the pressure parameter value of the street lamp. The image sensor is used to collect images of the object five minutes before and after the collision to obtain the object collision video;

[0040] The ambient light data is collected in real time through the light sensor to obtain the ambient light intensity outside the street lamp.

[0041] The intelligent lamp life management module intelligently analyzes the remaining service life of the lamp based on the physical damage coefficient, cumulative lighting time and lamp power difference. If it is higher than the preset threshold, it automatically sends a replacement reminder message to the cloud platform center. The specific process is as follows:

[0042] Obtain the appearance image of each lamp, identify and extract the total damaged area, total number of damaged lamps, deformed area and total number of deformed lamps in the appearance image, mark them as ros1, ros2, ros3 and ros4 respectively, normalize the total damaged area, total number of damaged lamps, deformed area and total number of deformed lamps and substitute them into the formula TY=(ros1×ros2)×Q1+(ros3×ros4)×Q2 to obtain the physical damage coefficient TY of each lamp, where Q1 and Q2 are preset proportional coefficients;

[0043] The installation time of each lamp is obtained to obtain the installation time point corresponding to each lamp, and the installation time point of each lamp is taken as the first moment, and the light-on time point and the light-off time point of each lamp are monitored every day, and the light-on time point and the light-off time point are subtracted to obtain the daily lighting duration, and the current time point is taken as the second moment, and the daily lighting durations within the first moment and the second moment are added to obtain the cumulative lighting duration TI of the lamp;

[0044] Obtain the voltage parameter value and current parameter value of the lamp, obtain the real-time power of the lamp according to the voltage parameter value and the current parameter value, extract the standard power range of the lamp in the data center, and subtract the real-time power of the lamp from the maximum value of the standard power range of the lamp to obtain the real-time difference value YR of the lamp power;

[0045] Normalize the physical damage coefficient, cumulative lighting time and real-time difference of lamp power and substitute them into the formula for calculation The loss assessment value YFD of each lamp is obtained, where Q3, Q4 and Q5 are weight factors corresponding to the physical damage coefficient, the cumulative lighting time and the real-time difference of the lamp power; i represents the number of each lamp, and n represents the total number of lamps;

[0046] Extract the preset lamp loss range in the database, compare the loss assessment value with the preset lamp loss range, if the loss assessment value of a lamp is less than the minimum value of the preset street lamp loss range, mark the lamp corresponding to the loss assessment value as a lamp that does not need to be replaced; and so on, if the loss assessment value of a lamp is equal to the preset street lamp loss range, mark the lamp corresponding to the loss assessment value as a lamp to be replaced; if the loss assessment value of a lamp is greater than the maximum value of the preset street lamp loss range, mark the lamp corresponding to the loss assessment value as a lamp that urgently needs to be replaced, and send the location and number of the lamp that urgently needs to be replaced to the cloud platform center.

[0047] The street light collision decision module analyzes the collected acceleration parameter values, pressure parameter values ​​and object collision video according to the activated street light collision trigger mechanism. The specific process is as follows:

[0048] Set up a street light collision trigger mechanism, specifically: when the street light pole is hit, extract the corresponding acceleration parameter value and compare it with the preset acceleration collision threshold. If the real-time acceleration parameter value is greater than the preset acceleration collision threshold, the street light collision decision module is intelligently turned on. The street light collision decision module generates a collection instruction and sends it to the data collection module.

[0049] Set a preset acceleration monitoring period, divide the preset acceleration monitoring period into several preset acceleration monitoring sub-periods, one preset acceleration sub-period corresponds to one acceleration parameter value, arrange the acceleration parameter values ​​from large to small, mark the maximum acceleration as the acceleration peak value, extract the road pole quality from the database, and obtain the road pole collision force value according to the road pole quality and acceleration peak value analysis;

[0050] Obtain the pressure parameter values ​​of each stress-bearing part of the street light pole, each stress-bearing part includes the bottom, middle and top, take the collision contact time as the horizontal coordinate, input the collision force value of the road pole and each pressure parameter value of each stress-bearing part into the coordinate system in sequence according to the corresponding collision contact time, and record the positions of the collision force value of the road pole and the pressure parameter values ​​of each stress-bearing part in the coordinate system as the road pole collision force point, top pressure point, middle pressure point and bottom pressure point respectively; use a smooth curve to connect the road pole collision force point, top pressure point, middle pressure point and bottom pressure point in sequence respectively, and obtain the relationship diagram of the road pole collision force value and the pressure parameter value of each stress-bearing part with time, draw tangents of the curves at the positions of the road pole collision force point, top pressure point, middle pressure point and bottom pressure point respectively, and obtain the road pole collision force tangent, top pressure tangent, medium pressure tangent and bottom pressure tangent; calculate the slopes of the above tangents respectively and mark them as sk, sd, se and sc respectively;

[0051] Substitute it into the preset formula for calculation The collision abnormal state value of the road pole is obtained, wherein K1, K2, K3 and K4 are preset proportional coefficients, g represents the collision contact moment, and m represents the total number of collision contact moments; fk and fd are the standard collision force value and the standard pressure value of the road pole; the preset collision abnormal state threshold in the database is extracted, and if the collision abnormal state value is greater than the preset collision abnormal state threshold, the road pole is marked as an accident street lamp, and a lighting adjustment instruction is generated and sent to the intelligent color temperature adjustment module.

[0052] The intelligent color temperature adjustment module prioritizes and intelligently adjusts the color temperature of the street lights around the accident street lights according to the received instructions. The specific process is as follows:

[0053] Get the location of the accident street light, take the accident street light location as the center point, filter the street light positions within the radius, connect the accident street light and the positions of each street light, get the straight-line distance of each street light, and classify the street lights into four levels based on the straight-line distance of each street light, including first-level priority, second-level priority, third-level priority and fourth-level priority, specifically: first-level priority refers to the street lights in the main lighting area and within 5 meters of the accident street light, and the straight-line street lights within 10 meters of the main traffic direction of the accident section; second-level priority refers to the street lights within 5-15 meters of the main lighting area, and the lateral street lights close to the intersection within 20 meters on both sides of the accident street light; third-level priority refers to the transition street lights between the auxiliary lighting area and the main lighting, and the street lights 15-30 meters in the main traffic flow direction; fourth-level priority refers to the street lights close to the accident within 30 meters of the background lighting area;

[0054] The lighting of street lamps is adjusted in sequence from the first-level priority, the second-level priority, the third-level priority and the fourth-level priority. Specifically, after the light intensity of the first-level priority street lamp is adjusted, the light intensity distribution area of ​​the area surrounding the accident street lamp is obtained, and the preset light intensity distribution area is extracted, and the two are overlapped and matched. If there is no lighting blind spot, an adjustment completion signal is generated and sent to the cloud platform center. If there is a lighting blind spot, the street lamps of the second-level priority are continued to be adjusted until there is no lighting blind spot in the lighting intensity distribution area of ​​the accident street lamp.

[0055] The cloud platform center creates a user operation interface based on the display screen to remotely control the street lights. The specific process is as follows:

[0056] The display screen creates a user operation interface, which includes lighting status adjustment and maintenance management allocation. The lighting status adjustment includes light switch control, brightness adjustment, street light parameter initialization and real-time data query; the light switch control is for users to flexibly set the switch time of street lights according to their needs, which is divided into light on time selection and light off time selection in the display screen; brightness adjustment refers to adjusting the brightness of street lights according to the ambient light intensity and traffic flow, and the brightness of street lights is divided into brightness levels of 1, 2, 3, 4 and 5, 1 represents the minimum brightness, and 5 represents the maximum brightness; street light parameter initialization is to adjust various parameters of street lights, including sensor calibration parameters and communication parameters; real-time data query is to view various operating data of street lights through the display screen, and various operating data include current, voltage, power and light intensity;

[0057] Maintenance management allocation includes lamp adjustment and collision repair. Lamp adjustment is to receive the location and number of the lamp that needs to be replaced urgently, and send the corresponding location and number to the mobile terminal of the maintenance personnel on duty, and display the words "replace lamp" as text; collision repair is to receive the adjustment completion signal, and send the location of the street lamp to the mobile terminal of the maintenance personnel on duty, and display the words "collision repair" as text.

[0058] The above is an explanation of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, it will be readily appreciated by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined in the claims. It should be understood that the above is an explanation of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims

1. A smart street lamp cloud platform control and management system, including a sensor acquisition module, an intelligent lamp life management module, an intelligent color temperature adjustment module, a cloud platform center and a database, characterized in that: Street light collision decision module; The intelligent lamp life management module intelligently analyzes the remaining service life of the lamp based on the physical damage coefficient, cumulative lighting time and lamp power difference. If it is higher than the preset threshold, it automatically sends a replacement reminder message to the cloud platform center; The intelligent color temperature adjustment module prioritizes and intelligently adjusts the color temperature of street lights around the accident street lights according to the received instructions; the cloud platform center creates a user operation interface based on the display screen to remotely control the street lights; The street light collision decision module analyzes the collected acceleration parameter value, pressure parameter value and object collision video according to the activated street light collision trigger mechanism. Specifically, the street light collision trigger mechanism is set. When the street light pole is hit, the corresponding acceleration parameter value is extracted and compared with the preset acceleration collision threshold. If the real-time acceleration parameter value is greater than the preset acceleration collision threshold, the street light collision decision module is intelligently turned on. The street light collision decision module generates a collection instruction and sends it to the data collection module. Set a preset acceleration monitoring period, divide the preset acceleration monitoring period into several preset acceleration monitoring sub-periods, one preset acceleration sub-period corresponds to an acceleration parameter value, arrange the acceleration parameter values ​​from large to small, mark the maximum acceleration as the acceleration peak, extract the road pole quality from the database, and obtain the road pole collision force value based on the road pole quality and acceleration peak analysis.

2. According to claim 1, the intelligent street lamp cloud platform control and management system is characterized in that: The street lamp collision decision module obtains the collision abnormality state value of the road pole, specifically: Obtain the pressure parameter values ​​of each stress-bearing part of the street light pole, each stress-bearing part includes the bottom, middle and top, take the collision contact time as the horizontal coordinate, input the collision force value of the road pole and each pressure parameter value of each stress-bearing part into the coordinate system in sequence according to the corresponding collision contact time, and record the positions of the collision force value of the road pole and the pressure parameter values ​​of each stress-bearing part in the coordinate system as the road pole collision force point, top pressure point, middle pressure point and bottom pressure point respectively; use a smooth curve to connect the road pole collision force point, top pressure point, middle pressure point and bottom pressure point in sequence respectively, and obtain the relationship diagram of the road pole collision force value and the pressure parameter value of each stress-bearing part with time, draw tangents of the curves at the positions of the road pole collision force point, top pressure point, middle pressure point and bottom pressure point respectively, and obtain the road pole collision force tangent, top pressure tangent, medium pressure tangent and bottom pressure tangent; calculate the slopes of the above tangents respectively and mark them as sk, sd, se and sc respectively; Substitute it into the preset formula for calculation The collision abnormal state value of the road pole is obtained, wherein K1, K2, K3 and K4 are preset proportional coefficients, g represents the collision contact moment, and m represents the total number of collision contact moments; fk and fd are the standard collision force value and the standard pressure value of the road pole; the preset collision abnormal state threshold in the database is extracted, and if the collision abnormal state value is greater than the preset collision abnormal state threshold, the road pole is marked as an accident street lamp, and a lighting adjustment instruction is generated and sent to the intelligent color temperature adjustment module.

3. The intelligent street lamp cloud platform control and management system according to claim 1 is characterized in that: The intelligent lamp life management module intelligently analyzes the remaining service life of the lamp based on the physical damage coefficient, cumulative lighting time and lamp power difference. If it is higher than the preset threshold, it automatically sends a replacement reminder message to the cloud platform center. The specific process is as follows: Obtain the appearance image of each lamp, identify and extract the total damaged area, total number of damaged lamps, deformed area and total number of deformed lamps in the appearance image, mark them as ros1, ros2, ros3 and ros4 respectively, normalize the total damaged area, total number of damaged lamps, deformed area and total number of deformed lamps and substitute them into the formula TY=(ros1×ros2)×Q1+(ros3×ros4)×Q2 to obtain the physical damage coefficient TY of each lamp, where Q1 and Q2 are preset proportional coefficients; The installation time of each lamp is obtained to obtain the installation time point corresponding to each lamp, and the installation time point of each lamp is taken as the first moment, and the light-on time point and the light-off time point of each lamp are monitored every day, and the light-on time point and the light-off time point are subtracted to obtain the daily lighting duration, and the current time point is taken as the second moment, and the daily lighting durations within the first moment and the second moment are added to obtain the cumulative lighting duration of the lamp; The voltage parameter value and current parameter value of the lamp are obtained, and the real-time power of the lamp is obtained according to the voltage parameter value and the current parameter value. The standard power range of the lamp in the data center is extracted, and the real-time power of the lamp is subtracted from the maximum value of the standard power range of the lamp to obtain the real-time difference of the lamp power.

4. According to claim 3, a smart street lamp cloud platform control and management system is characterized in that: The intelligent lamp life management module substitutes the obtained data into the formula for calculation and classifies the lamp loss into grades, specifically: Normalize the physical damage coefficient TY, the cumulative lighting time TI and the real-time difference of lamp power YR and substitute them into the formula for calculation The loss assessment value YFD of each lamp is obtained, where Q3, Q4 and Q5 are weight factors corresponding to the physical damage coefficient, the cumulative lighting time and the real-time difference of the lamp power; i represents the number of each lamp, and n represents the total number of lamps; Extract the preset lamp loss range in the database, compare the loss assessment value with the preset lamp loss range, if the loss assessment value of a lamp is less than the minimum value of the preset street lamp loss range, mark the lamp corresponding to the loss assessment value as a lamp that does not need to be replaced; and so on, if the loss assessment value of a lamp is equal to the preset street lamp loss range, mark the lamp corresponding to the loss assessment value as a lamp to be replaced; if the loss assessment value of a lamp is greater than the maximum value of the preset street lamp loss range, mark the lamp corresponding to the loss assessment value as a lamp that urgently needs to be replaced, and send the location and number of the lamp that urgently needs to be replaced to the cloud platform center.

5. The intelligent street lamp cloud platform control and management system according to claim 1 is characterized in that: The intelligent color temperature adjustment module classifies the priority levels of the street lights around the accident street light according to the received instructions. The specific process is as follows: Get the location of the accident street light, take the accident street light location as the center point, filter the street light positions within the radius, connect the accident street light and the positions of each street light, get the straight-line distance of each street light, and classify the street lights into four levels based on the straight-line distance of each street light, including first-level priority, second-level priority, third-level priority and fourth-level priority, specifically: the first-level priority is the street lights in the main lighting area and within 5 meters of the accident street light, and the straight-line street lights within 10 meters in the main traffic direction of the accident section; the second-level priority is the street lights within 5-15 meters of the main lighting area, and the lateral street lights close to the intersection within 20 meters on both sides of the accident street light; the third-level priority is the transition street lights between the auxiliary lighting area and the main lighting, and the street lights 15-30 meters in the main traffic flow direction; the fourth-level priority is the background lighting area within 30 meters close to the accident street light.

6. The intelligent street lamp cloud platform control and management system according to claim 5, characterized in that: The intelligent color temperature adjustment module performs priority adjustment on the street lamps, specifically: The lighting of street lamps is adjusted in sequence from the first-level priority, the second-level priority, the third-level priority and the fourth-level priority. Specifically, after the light intensity of the first-level priority street lamp is adjusted, the light intensity distribution area of ​​the area surrounding the accident street lamp is obtained, and the preset light intensity distribution area is extracted, and the two are overlapped and matched. If there is no lighting blind spot, an adjustment completion signal is generated and sent to the cloud platform center. If there is a lighting blind spot, the street lamps of the second-level priority are continued to be adjusted until there is no lighting blind spot in the lighting intensity distribution area of ​​the accident street lamp.

7. The intelligent street lamp cloud platform control and management system according to claim 1, characterized in that: The cloud platform center creates a user operation interface based on the display screen and sets the interface for adjusting the lighting status. The specific process is as follows: The display screen creates a user operation interface, which includes lighting status adjustment, including light switch control, brightness adjustment, street light parameter initialization and real-time data query; the light switch control is for users to flexibly set the switch time of street lights according to needs, which is divided into light on time selection and light off time selection in the display screen; brightness adjustment refers to adjusting the street light brightness according to the ambient light intensity and traffic flow, and the street light brightness is divided into brightness levels of 1, 2, 3, 4 and 5, 1 represents the minimum brightness, and 5 represents the maximum brightness; street light parameter initialization is to adjust various parameters of the street light, including sensor calibration parameters and communication parameters; real-time data query is to view various operating data of the street light through the display screen, and various operating data include current, voltage, power and light intensity.

8. The intelligent street lamp cloud platform control and management system according to claim 7 is characterized in that: The cloud platform center sets the maintenance management allocation, specifically: Maintenance management allocation includes lamp adjustment and collision repair. Lamp adjustment is to receive the location and number of the lamp that needs to be replaced urgently, and send the corresponding location and number to the mobile terminal of the maintenance personnel on duty, and the text of "Replace lamp" will be displayed; collision repair is to receive the adjustment completion signal, and send the location of the street lamp to the mobile terminal of the maintenance personnel on duty, and the text of "Collision repair" will be displayed.

9. The intelligent street lamp cloud platform control and management system according to claim 1, characterized in that: The sensor acquisition module obtains street lamp self-inspection information and external video information in real time based on the sensors installed on the street lamps, and uploads the data to the cloud platform center. The specific process is as follows: Install various types of sensors on street lamps, including current sensors, voltage sensors, acceleration sensors, pressure sensors, image sensors and light sensors; The self-check time is set at 10 o'clock every day in the cloud platform center, and a self-check instruction is intelligently generated and sent to each street light control terminal. Each street light control terminal collects the current data and voltage data of the street light in real time through the current sensor and voltage sensor, and obtains the real-time current parameter value and voltage parameter value of the street light; the appearance image of the street light fixture is collected in real time through the image sensor, and the appearance image of the street light fixture is obtained; The acceleration sensor, pressure sensor and image sensor are set to collect data in real time for 24 hours. Upon receiving the collection instruction, the acceleration data of the object before the road pole is hit is detected in real time by the acceleration sensor, and the detected acceleration data is extracted to obtain the acceleration parameter value of the object. The pressure data when the object collides with the street lamp is detected in real time by the pressure sensor, and the detected pressure data is extracted to obtain the pressure parameter value of the street lamp. The images of the object five minutes before and after the collision are collected by the image sensor to obtain the object collision video. The ambient light data is collected in real time by the light sensor to obtain the ambient light intensity outside the street lamp.

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