Intelligent street lamp cloud platform control management system
The intelligent street light cloud platform control and management system monitors the status of street lights in real time through sensors, analyzes the lifespan of the lights and collisions, and solves the problems of insufficient monitoring of light lifespan and information silos in traditional street light systems. It realizes the intelligence and data sharing of the street light system, and improves the efficiency and safety of street light management.
Patent Information
- Application Number
- CN202510001481.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-02
- Publication Date
- 2025-11-25
- Estimated Expiration
- 2045-01-02
AI Technical Summary
Traditional street lighting systems lack effective means of monitoring and predicting lamp lifespan, have slow response times, cannot detect street light damage in a timely manner, and suffer from information silos, making it impossible to achieve coordinated and intelligent urban lighting.
The system adopts a smart street light cloud platform control and management system, which includes a sensor acquisition module, a smart lamp life management module, a street light collision decision module, a smart color temperature adjustment module, and a cloud platform center. It monitors the street light status in real time through sensors, analyzes lamp life and street light collisions, and realizes data sharing and intelligent adjustment.
Accurately assess the remaining lifespan of luminaires, reduce lighting interruptions caused by luminaire damage, respond quickly to street light collision events, reduce the risk of secondary accidents, and realize the intelligence and data sharing of street light systems.
Smart Images
Figure CN119835832B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of street lamp cloud platform control management, in particular to a smart street lamp cloud platform control management system. BACKGROUND
[0002] With the acceleration of urban modernization process, street lamps, as an important part of urban lighting infrastructure, their number is increasing, and the management difficulty is also increasing. In terms of lamp maintenance management, there is a lack of effective lamp life monitoring and prediction means. In the long-term use process, the performance of street lamps will gradually decline. Since the remaining service life of the lamps cannot be accurately grasped in time, only when the lamps are completely damaged can they be replaced and repaired.
[0003] The traditional street lamp system has slow response speed and lacks effective emergency handling mechanism when dealing with sudden situations (such as street lamps being damaged by collision). Once the street lamp pole is collided, the accident cannot be detected in time and corresponding measures cannot be taken, such as adjusting the surrounding street lamp lighting to make up for the lighting blind area, which may cause secondary accidents. There is an information island phenomenon between the street lamp system and other city management systems, and data cannot be shared and interacted, making it difficult to realize the coordination and intelligentization of city management.
[0004] In order to solve the above problems, it is particularly necessary to provide a smart street lamp cloud platform control management system. The present application aims to overcome the defects of the traditional street lamp system and promote the development of city lighting in a more intelligent direction. SUMMARY
[0005] In order to solve the technical problems in the background art, the present application provides a smart street lamp cloud platform control management system.
[0006] The purpose of the present application can be achieved by the following technical solutions:
[0007] The present application is a smart street lamp cloud platform control management system, which comprises a sensing and collecting 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 sensing and collecting module acquires real-time street lamp self-checking information and external video information according to the sensors installed on the street lamps, and uploads the data to the cloud platform center. The specific process is as follows:
[0009] Each type of sensor is installed on the street lamp, including current sensor, voltage sensor, acceleration sensor, pressure sensor, image sensor and illumination sensor.
[0010] The self-checking time is set to 10 o'clock every day in the cloud platform center, and the intelligent self-checking instruction is sent to each street lamp control terminal. The current data and voltage data of the street lamp are collected in real time by the current sensor and the voltage sensor, and the real-time current parameter value and voltage parameter value of the street lamp are obtained. The appearance image of the street lamp is collected in real time by the image sensor, and the appearance image of the street lamp is obtained.
[0011] The acceleration sensor, pressure sensor and image sensor are set to 24 hours real-time collection. After receiving the collection instruction, the object acceleration data before the pole is subjected to collision is detected in real time by the acceleration sensor, the acceleration data is extracted, the acceleration parameter value of the object is obtained, the pressure data when the object collides with the street lamp is detected in real time by the pressure sensor, the pressure data is extracted, the pressure parameter value of the street lamp is obtained, and the image of the object before and after collision for five minutes is collected by the image sensor, and the object collision video is obtained.
[0012] The ambient light data is collected in real time by the light sensor, and the ambient light intensity outside the street lamp is obtained.
[0013] The intelligent lamp life management module intelligently analyzes the remaining service life of the lamp according to the physical damage coefficient, the cumulative lighting time and the lamp power difference value. If it is higher than the preset threshold, the replacement reminder information is automatically sent to the cloud platform center. The specific process is as follows:
[0014] The appearance image of each lamp is obtained, the total damage area of the lamp, the total number of lamp damage, the deformation area of the lamp and the total number of lamp deformation of the appearance image are identified and extracted, and are marked as ros1, ros2, ros3 and ros4 respectively. The total damage area of the lamp, the total number of lamp damage, the deformation area of the lamp and the total number of lamp deformation are normalized and substituted into the formula to calculate TY=(ros1×ros2)×Q1+(ros3×ros4)×Q2 to obtain the physical damage coefficient TY of each lamp, wherein Q1 and Q2 are preset proportion coefficients.
[0015] The installation time of each lamp is obtained, and the installation time point corresponding to each lamp is obtained. The installation time point of each lamp is taken as the first time, the daily lighting time point and the lamp-off time point of each lamp are monitored, and the difference between the lighting time point and the lamp-off time point is obtained to obtain the daily lighting time. The current time point is taken as the second time, and the daily lighting time in the first time and the second time is added to obtain the cumulative lighting time T I of the lamp.
[0016] The voltage parameter value and current parameter value of the lamp are obtained, the real-time power of the lamp is obtained according to the voltage parameter value and current parameter value, the standard power range of the lamp in the data center is extracted, the maximum value of the real-time power of the lamp and the standard power range of the lamp is subtracted to obtain the real-time difference YR of the lamp power.
[0017] The physical damage coefficient, the cumulative lighting duration and the lamp power real-time difference are normalized and substituted into the formula for calculation The loss evaluation value YFD of each lamp is obtained, wherein Q3, Q4 and Q5 are weight factors corresponding to the physical damage coefficient, the cumulative lighting duration and the lamp power real-time difference; i represents the number of each lamp, and n represents the total number of each lamp;
[0018] The preset lamp loss range in the database is extracted, the loss evaluation value is compared with the preset lamp loss range, if the loss evaluation value of a certain lamp is less than the minimum value of the preset street lamp loss range, the lamp corresponding to the loss evaluation value is marked as not needing to be replaced; by analogy, if the loss evaluation value of a certain lamp is equal to the preset street lamp loss range, the lamp corresponding to the loss evaluation value is marked as a lamp to be replaced, if the loss evaluation value of a certain lamp is greater than the maximum value of the preset street lamp loss range, the lamp corresponding to the loss evaluation value is marked as a lamp to be replaced urgently, and the positioning and number of the lamp to be replaced urgently are sent to the cloud platform center.
[0019] The road lamp collision decision module analyzes the collected acceleration parameter value, pressure parameter value and object collision video according to the started road lamp collision triggering mechanism, and the specific process is as follows:
[0020] The road lamp collision triggering mechanism is set, specifically: when the road lamp pole is subjected to collision, 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 intelligent road lamp collision decision module is started, and the road lamp collision decision module generates a collection instruction and sends it to the data collection module;
[0021] The preset acceleration monitoring period is set, the preset acceleration monitoring period is divided into a plurality of preset acceleration monitoring sub-periods, one preset acceleration sub-period corresponds to one acceleration parameter value, the acceleration parameter values are arranged in descending order, the maximum acceleration is marked as the acceleration peak value, the road pole mass of the database is extracted, and the road pole collision force value is analyzed according to the road pole mass and the acceleration peak value;
[0022] The pressure parameter values of each force receiving part of the street lamp pole are acquired, the force receiving parts include the bottom, the middle and the high part, the street lamp collision force value and the pressure parameter values of each force receiving part are input into the coordinate system according to the corresponding collision contact time, the positions of the street lamp collision force value and the pressure parameter values of each force receiving part in the coordinate system are recorded as the street lamp collision force point, the high part pressure point, the middle part pressure point and the bottom pressure point respectively, a smooth curve is used to connect the street lamp collision force point, the high part pressure point, the middle part pressure point and the bottom pressure point in sequence, the relationship diagram of the street lamp collision force value and the pressure parameter values of each force receiving part changing with time is obtained, the tangent lines of the curve at the positions of the street lamp collision force point, the high part pressure point, the middle part pressure point and the bottom pressure point are obtained, the street lamp collision force tangent line, the high part pressure tangent line, the middle part pressure tangent line and the bottom pressure tangent line are obtained, the slopes of the tangent lines are calculated and marked as sk, sd, se and sc respectively;
[0023] The preset formula is substituted and calculated The collision abnormal state value of the street lamp is obtained, wherein K1, K2, K3 and K4 are preset proportion coefficients, g represents the collision contact time, m represents the total number at the collision contact time, fk and fd are the standard collision force value and the standard pressure value of the street lamp, the preset collision abnormal state threshold value in the database is extracted, if the collision abnormal state value is greater than the preset collision abnormal state threshold value, the street lamp is marked as an accident street lamp, and a light adjustment instruction is generated and sent to the intelligent color temperature adjustment module.
[0024] The intelligent color temperature adjustment module performs priority sorting and color temperature intelligent adjustment on the street lamps around the accident street lamp according to the received instruction, and the specific process is as follows:
[0025] The positioning of the accident street lamp is acquired, the positions of the street lamps within the radius of the accident street lamp positioning are screened, the accident street lamp and each street lamp position are connected to obtain the straight line distance of each street lamp, the street lamps are classified into four levels based on the straight line distance of each street lamp, including the first priority, the second priority, the third priority and the fourth priority, specifically: the first priority is specifically the main lighting area and the nearby street lamp within 5 meters from the accident street lamp, the straight line street lamp within 10 meters from the accident road section main traffic direction, the second priority is specifically the main lighting area 5-15 meters street lamp, the side road street lamp within 20 meters from the accident street lamp on both sides; the third priority is specifically the auxiliary lighting area and the main lighting transition street lamp, the street lamp 15-30 meters from the main traffic flow direction; the fourth priority is specifically the background lighting area within 30 meters from the accident street lamp;
[0026] The street lamps are sequentially adjusted in the first priority, the second priority, the third priority and the fourth priority, specifically: after the light intensity of the street lamp of the first priority is adjusted, the light intensity distribution area of the accident street lamp is obtained, the preset light intensity distribution area is extracted, and the two are matched, if there is no lighting blind area, an adjustment completion signal is generated and sent to the cloud platform center, if there is a lighting blind area, the street lamp of the second priority is continuously adjusted until there is no lighting blind area in the accident street lamp light intensity distribution area.
[0027] The cloud platform center creates a user operation interface according to the display screen, and remotely controls the street lamp, and the specific process is as follows:
[0028] The display screen creates a user operation interface, and the user operation interface includes lighting state adjustment and maintenance management allocation, the lighting state adjustment includes on-off control, brightness adjustment, street lamp parameter initialization and real-time data query; wherein the on-off control is that the user flexibly sets the on-off time of the street lamp according to the demand, and the display screen is divided into on-time selection and off-time selection; the brightness adjustment refers to adjusting the brightness of the street lamp according to the environmental light intensity and the traffic flow, and the brightness of the street lamp is divided into 1, 2, 3, 4 and 5 brightness levels, 1 represents the minimum brightness, and 5 represents the maximum brightness; the street lamp parameter initialization is to adjust each parameter of the street lamp, including sensor calibration parameters and communication parameters; the real-time data query is to view each operation data of the street lamp through the display screen, and each operation data includes current, voltage, power and light intensity;
[0029] The maintenance management allocation includes lamp adjustment and collision maintenance, the lamp adjustment is to receive the positioning and numbering of the urgently needed lamp replacement, and the corresponding positioning and numbering are sent to the mobile terminal of the on-duty maintenance personnel, and the text of "replace the lamp" is displayed; the collision maintenance is to receive the adjustment completion signal, and the positioning of the street lamp is sent to the mobile terminal of the on-duty maintenance personnel, and the text of "collision maintenance" is displayed.
[0030] Compared with the prior art, the beneficial effects of the present application are: the street lamp collision decision module sets a reasonable street lamp collision triggering mechanism, uses an acceleration sensor and a pressure sensor to monitor the state of the street lamp pole in real time. When the street lamp pole is subjected to a collision and the acceleration parameter value exceeds the preset threshold value, the module is quickly started and relevant data is collected; by deeply analyzing the collected acceleration parameter value, pressure parameter value and object collision video, the pole collision intensity value is calculated, and the collision abnormal state value is further obtained. Once the collision abnormal state value exceeds the preset threshold value, the street lamp is marked as an accident street lamp, and a light adjustment instruction is generated in time and sent to the intelligent color temperature adjustment module; the illumination of the surrounding street lamps is quickly adjusted, the lighting blind area caused by the damage of the accident street lamp is effectively made up, and the risk of secondary accidents caused by lighting problems is reduced;
[0031] The intelligent lamp life management module comprehensively considers physical damage coefficient, accumulated lighting time and lamp power difference and other factors to analyze the remaining service life of the lamp; the physical damage coefficient is calculated by acquiring the total damage area, total damage number, deformation area and total deformation number in the appearance image of the lamp, which can more comprehensively evaluate the actual condition of the lamp; the damage conditions are accurately detected and quantified, combined with the accumulated lighting time and power difference, to accurately judge the remaining life of the lamp; when the remaining life of the lamp is lower than the preset threshold, a replacement reminder information is sent to the cloud platform center in time, avoiding the lighting interruption caused by sudden damage of the lamp and improving the reliability of the street lamp system. BRIEF DESCRIPTION OF DRAWINGS
[0032] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiment description. The following drawings are not drawn in scale, and the emphasis is on showing the main idea of the present application.
[0033] Figure 1 The present application is a schematic diagram of the principle. DETAILED DESCRIPTION
[0034] The technical solutions in the embodiments of the present application will be described clearly and completely in the following with reference to the drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative labor also belong to the scope of protection of the present application.
[0035] Please refer to Figure 1 The present application is a smart street lamp cloud platform control management system, which comprises a sensing and collecting 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 sensing and collecting module acquires the self-checking information and external video information of the street lamp in real time according to the sensors installed on the street lamp, and uploads the data to the cloud platform center. The specific process is as follows:
[0037] Each type of sensor is installed on the street lamp, including current sensor, voltage sensor, acceleration sensor, pressure sensor, image sensor and illumination sensor.
[0038] The self-checking time is set to ten o'clock every day in the cloud platform center, and the self-checking instruction is intelligently generated and sent to each street lamp control terminal. Each street lamp control terminal acquires the current data and voltage data of the street lamp in real time through the current sensor and voltage sensor, and acquires the real-time current parameter value and voltage parameter value of the street lamp. The appearance image of the street lamp is acquired in real time through the image sensor, and the appearance image of the street lamp is acquired.
[0039] The acceleration sensor, pressure sensor and image sensor are set to collect 24 hours in real time. When receiving the collection instruction, the acceleration sensor detects the object acceleration data before the pole is hit, extracts the detected acceleration data, obtains the acceleration parameter value of the object, the pressure sensor detects the pressure data when the object collides with the pole in real time, extracts the detected pressure data, and obtains the pressure parameter value of the pole. The image sensor collects the images of the object before and after the collision for five minutes, and obtains the object collision video.
[0040] The light sensor collects the ambient light data in real time, and obtains the ambient light intensity outside the pole.
[0041] The intelligent lamp life management module intelligently analyzes the remaining service life of the lamp according to the physical damage coefficient, the cumulative lighting time and the lamp power difference value. If it is higher than the preset threshold, it automatically sends a replacement reminder information to the cloud platform center. The specific process is as follows:
[0042] Obtain the appearance image of each lamp, identify and extract the total lamp damage area, total lamp damage quantity, lamp deformation area and total lamp deformation quantity of the appearance image, and mark them as ros1, ros2, ros3 and ros4 respectively. The total lamp damage area, total lamp damage quantity, lamp deformation area and total lamp deformation quantity are normalized and substituted into the formula to calculate TY=(ros1×ros2)×Q1+(ros3×ros4)×Q2 to obtain the physical damage coefficient TY of each lamp, wherein Q1 and Q2 are preset proportion coefficients.
[0043] Obtain the installation time of each lamp, obtain the installation time point corresponding to each lamp, take the installation time point of each lamp as the first time, monitor the daily light-on time point and light-off time point of each lamp, and obtain the daily light time length by subtracting the light-on time point from the light-off time point. The second time point is the current time point, and the cumulative lighting time TI of each lamp is obtained by adding the daily light time length in the first time and the second time.
[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 current parameter value, extract the standard power range of the lamp in the data center, and obtain the real-time difference value YR of the lamp power by subtracting the maximum value of the real-time power of the lamp and the standard power range of the lamp.
[0045] The physical damage coefficient, cumulative lighting time and lamp power real-time difference value are normalized and substituted into the formula to calculate obtain the loss evaluation value YFD of each lamp, wherein Q3, Q4 and Q5 are weight factors corresponding to the physical damage coefficient, the cumulative lighting time and the lamp power real-time difference value; i represents the number of each lamp, and n represents the total number of each lamp.
[0046] The preset lamp loss range in the database is extracted, the loss evaluation value is compared with the preset lamp loss range, if the loss evaluation value of a certain lamp is less than the minimum value of the preset street lamp loss range, the lamp corresponding to the loss evaluation value is marked as not needing to replace the lamp; by analogy, if the loss evaluation value of a certain lamp is equal to the preset street lamp loss range, the lamp corresponding to the loss evaluation value is marked as a lamp to be prepared for replacement, if the loss evaluation value of a certain lamp is greater than the maximum value of the preset street lamp loss range, the lamp corresponding to the loss evaluation value is marked as a lamp to be urgently replaced, and the positioning and number of the lamp to be urgently replaced are sent to the cloud platform center.
[0047] The road lamp collision decision module analyzes the collected acceleration parameter value, pressure parameter value and object collision video according to the started road lamp collision trigger mechanism, and the specific process is as follows:
[0048] The road lamp collision trigger mechanism is set, specifically: when the road lamp pole is subjected to collision, 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 intelligent road lamp collision decision module is started, and the road lamp collision decision module generates a collection instruction and sends it to the data collection module;
[0049] A preset acceleration monitoring period is set, the preset acceleration monitoring period is divided into a plurality of preset acceleration monitoring sub-periods, one preset acceleration sub-period corresponds to one acceleration parameter value, the acceleration parameter values are arranged in descending order, the maximum acceleration is marked as an acceleration peak value, the road pole quality of the database is extracted, and the road pole collision force value is analyzed according to the road pole quality and the acceleration peak value;
[0050] The pressure parameter values of each force receiving part of the road lamp pole are obtained, each force receiving part includes a bottom, a middle and a high part, the collision contact time is taken as the abscissa, the road pole collision force value and the pressure parameter values of each force receiving part are respectively input into the coordinate system according to the corresponding collision contact time, the positions of the road pole collision force value and the pressure parameter values of each force receiving part in the coordinate system are respectively marked as a road pole collision force point, a high part pressure point, a middle part pressure point and a bottom pressure point; a smooth curve is used to connect the road pole collision force point, the high part pressure point, the middle part pressure point and the bottom pressure point in turn, to obtain a time-varying relationship diagram of the road pole collision force value and the pressure parameter values of each force receiving part, tangent lines of the curve are drawn at the positions of the road pole collision force point, the high part pressure point, the middle part pressure point and the bottom pressure point, to obtain a road pole collision force tangent line, a high part pressure tangent line, a middle part pressure tangent line and a bottom pressure tangent line; the slopes of the above tangent lines are calculated and respectively marked as sk, sd, se and sc;
[0051] They are substituted into the preset formula for calculation A collision abnormal state value of the road lamp is obtained, wherein K1, K2, K3 and K4 are preset proportion coefficients, g 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 lamp; a preset collision abnormal state threshold value in the database is extracted, if the collision abnormal state value is greater than the preset collision abnormal state threshold value, the road lamp is marked as an accident road lamp, and a light adjustment instruction is generated and sent to the intelligent color temperature adjustment module.
[0052] The intelligent color temperature adjustment module performs priority sorting and color temperature intelligent adjustment on the road lamps around the accident road lamp according to the received instruction, and the specific process is as follows:
[0053] The position of the accident road lamp is obtained, the positions of the road lamps within the radius with the position of the accident road lamp as the center point are screened, the accident road lamp and each road lamp position are connected to obtain the straight line distance of each road lamp, and the road lamps are classified into four levels based on the straight line distance of each road lamp, including first priority, second priority, third priority and fourth priority, specifically: the first priority is specifically the main lighting area and the adjacent road lamp within 5 meters from the accident road lamp, the straight line road lamp within 10 meters from the accident road lamp in the main traffic direction of the accident road section, the second priority is specifically the main lighting area 5-15 meters from the road lamp, the side road lamp within 20 meters from the accident road lamp on both sides of the road; the third priority is specifically the auxiliary lighting area and the main lighting transition road lamp, the road lamp 15-30 meters from the main traffic flow direction; the fourth priority is specifically the background lighting area within 30 meters from the accident road lamp;
[0054] The road lamps are sequentially adjusted in the first priority, the second priority, the third priority and the fourth priority, specifically: after the light intensity of the road lamp in the first priority is adjusted, the light intensity distribution area of the area around the accident road lamp is obtained, the preset light intensity distribution area is extracted, and the two are matched, if there is no lighting blind area, an adjustment completion signal is generated and sent to the cloud platform center, if there is a lighting blind area, the road lamp in the second priority is continuously adjusted, until there is no lighting blind area in the light intensity distribution area of the accident road lamp.
[0055] The cloud platform center creates a user operation interface according to the display screen, and remotely controls the road lamp, and the specific process is as follows:
[0056] The display screen creates a user operation interface, the user operation interface includes lighting state adjustment and maintenance management allocation, the lighting state adjustment includes switch light control, brightness adjustment, street lamp parameter initialization and real-time data query; wherein the switch light control is that the user flexibly sets the switch time of the street lamp according to the demand, and the display screen is divided into light-on time selection and light-off time selection; the brightness adjustment refers to adjusting the brightness of the street lamp according to the environmental illumination intensity and traffic flow, and the brightness of the street lamp is divided into 1, 2, 3, 4 and 5 brightness levels, 1 represents the minimum brightness, and 5 represents the maximum brightness; the street lamp parameter initialization is to adjust each parameter of the street lamp, including sensor calibration parameter and communication parameter; the real-time data query is to view each operation data of the street lamp through the display screen, and each operation data includes current, voltage, power and illumination intensity;
[0057] The maintenance management allocation includes lamp adjustment and collision maintenance, the lamp adjustment is to receive the positioning and number of the lamp urgently needed to be replaced, to send the corresponding positioning and number to the mobile terminal of the on-duty maintenance personnel, and to display the text of "replace the lamp" through the text; the collision maintenance is to receive the adjustment completion signal, and to send the positioning of the street lamp to the mobile terminal of the on-duty maintenance personnel, and to display the text of "collision maintenance" through the text.
[0058] The above is the description of the present application, and should not be considered as a limitation. Although several exemplary embodiments of the present application are described, those skilled in the art will readily understand that many modifications can be made to the exemplary embodiments without departing from the novel teachings and advantages of the present application. Therefore, all such modifications are intended to be included within the scope of the present application defined by the claims. It should be understood that the above is the description of the present application, and should not be considered as a limitation. Although several exemplary embodiments of the present application are described, those skilled in the art will readily understand that many modifications can be made to the exemplary embodiments without departing from the novel teachings and advantages of the present application. Therefore, all such modifications are intended to be included within the scope of the present application defined by the claims. The present application is limited by the claims and their equivalents.
Claims
1. A smart street lamp cloud platform control management system, comprising a sensing and collecting module, an intelligent lamp life management module, an intelligent color temperature adjustment module, a cloud platform center and a database, characterized in that, The street lamp collision decision module; The intelligent lamp life management module intelligently analyzes the remaining service life of the lamp according to the physical damage coefficient, the cumulative lighting time length and the lamp power difference value, and automatically sends a replacement reminder information to the cloud platform center if the value is higher than a preset threshold value; The intelligent color temperature adjustment module performs priority sorting and color temperature intelligent adjustment on the street lamps around the accident street lamp according to the received instructions; and the cloud platform center creates a user operation interface according to the display screen and remotely controls the street lamp; The street lamp collision decision module analyzes the collected acceleration parameter value, pressure parameter value and object collision video according to the started street lamp collision trigger mechanism, specifically: setting the street lamp collision trigger mechanism, extracting the corresponding acceleration parameter value when the street lamp pole is subjected to collision, and comparing the value with a preset acceleration collision threshold value, if the real-time acceleration parameter value is greater than the preset acceleration collision threshold value, the street lamp collision decision module is intelligently started, and the street lamp collision decision module generates a collection instruction and sends it to the data collection module; The preset acceleration monitoring period is divided into a plurality of preset acceleration monitoring sub-periods, one preset acceleration sub-period corresponds to one acceleration parameter value, the acceleration parameter values are arranged in descending order, the maximum acceleration is marked as an acceleration peak value, the road pole mass of the database is extracted, and the road pole collision intensity value is analyzed according to the road pole mass and the acceleration peak value.
2. The intelligent street light cloud platform control management system according to claim 1, wherein, The street lamp collision decision module acquires the collision abnormal state value of the road pole, specifically: The pressure parameter values of each force receiving part of the street lamp pole are acquired, the force receiving parts include the bottom, the middle and the high part, the collision contact time is taken as the horizontal coordinate, the road pole collision intensity value and the pressure parameter values of each force receiving part are respectively input into the coordinate system according to the corresponding collision contact time, the positions of the road pole collision intensity value and the pressure parameter values of each force receiving part in the coordinate system are respectively marked as the road pole collision intensity point, the high part pressure point, the middle part pressure point and the bottom pressure point; a smooth curve is used to connect the road pole collision intensity point, the high part pressure point, the middle part pressure point and the bottom pressure point in turn, to obtain a time variation graph of the road pole collision intensity value and the pressure parameter values of each force receiving part, tangent lines of the curve are drawn at the positions of the road pole collision intensity point, the high part pressure point, the middle part pressure point and the bottom pressure point, to obtain the road pole collision intensity tangent line, the high part pressure tangent line, the middle part pressure tangent line and the bottom pressure tangent line; the slopes of the tangent lines are calculated and marked as sk, sd, se and sc respectively; Substitute it into the preset formula for calculation A collision abnormal state value of the street lamp is obtained, wherein K1, K2, K3 and K4 are preset proportion coefficients, g represents the total number at the moment of collision contact, m represents the total number at the moment of collision contact; fk and fd are standard collision force value and standard pressure value of the street lamp; a preset collision abnormal state threshold value in the database is extracted, if the collision abnormal state value is greater than the preset collision abnormal state threshold value, the street lamp is marked as an accident street lamp, and a light adjustment instruction is generated and sent to the intelligent color temperature adjustment module.
3. The intelligent street light cloud platform control management system according to claim 1, wherein, The intelligent lamp life management module intelligently analyzes the remaining service life of the lamp according to the physical damage coefficient, the cumulative lighting time length and the lamp power difference value, and automatically sends a replacement reminder information to the cloud platform center if the value is higher than a preset threshold value, and the specific process is as follows: An appearance image of each lamp is acquired, and a total lamp damage area, a total number of lamp damages, a lamp deformation area, and a total number of lamp deformations of the appearance image are recognized and extracted, and are marked as ros1, ros2, ros3, and ros4, respectively. The total lamp damage area, the total number of lamp damages, the lamp deformation area, and the total number of lamp deformations are normalized and substituted into a formula to calculate a physical damage coefficient TY of each lamp, where TY=(ros1×ros2)×Q1+(ros3×ros4)×Q2, and Q1 and Q2 are preset proportion coefficients. An installation time of each lamp is acquired to obtain an installation time point corresponding to each lamp. The installation time point of each lamp is taken as a first time, and a daily light-on time point and a daily light-off time point of each lamp are monitored. A difference between the daily light-on time point and the daily light-off time point is obtained to obtain a daily light duration. A current time point is taken as a second time, and a sum of each daily light duration within the first time and the second time is obtained to obtain a cumulative lighting duration of the lamp. A voltage parameter value and a current parameter value of the lamp are acquired, and a real-time power of the lamp is obtained according to the voltage parameter value and the current parameter value. A standard power range of the lamp in the data center is extracted, and a difference between the real-time power of the lamp and a maximum value of the standard power range of the lamp is obtained to obtain a real-time power difference value of the lamp.
4. The intelligent street light cloud platform control management system according to claim 3, wherein, The intelligent lamp life management module substitutes the obtained data into a formula to calculate and classify the lamp loss into grades. Specifically, The physical damage coefficient TY, the accumulated lighting duration TI and the real-time difference of lamp power YR are normalized and substituted into the formula to calculate The loss evaluation value YFD of each lamp is obtained, wherein Q3, Q4 and Q5 are weight factors corresponding to the physical damage coefficient, the accumulated lighting duration and the real-time difference of lamp power; i represents the number of each lamp, and n represents the total number of each lamp. A preset lamp loss range in the database is extracted, and the loss evaluation value is compared with the preset lamp loss range. If the loss evaluation value of a certain lamp is less than a minimum value of the preset lamp loss range, the lamp corresponding to the loss evaluation value is marked as a lamp that does not need to be replaced. By analogy, if the loss evaluation value of a certain lamp is equal to the preset lamp loss range, the lamp corresponding to the loss evaluation value is marked as a lamp that needs to be replaced. If the loss evaluation value of a certain lamp is greater than a maximum value of the preset lamp loss range, the lamp corresponding to the loss evaluation value is marked as a lamp that needs to be replaced urgently. The positioning and number of the lamp that needs to be replaced urgently are sent to the cloud platform center.
5. The intelligent street light cloud platform control management system according to claim 1, wherein, The intelligent color temperature adjustment module classifies the street lamps around the accident street lamp according to the received instructions. The specific process is as follows: The positioning of the accident street lamp is acquired, and the positions of the street lamps within a radius of the positioning of the accident street lamp are screened. The accident street lamp and each street lamp position are connected to obtain a straight-line distance of each street lamp. Based on the straight-line distance of each street lamp, the street lamps are classified into four levels, including a first priority, a second priority, a third priority, and a fourth priority. Specifically, the first priority is a main lighting area and a nearby street lamp within 5 meters from the accident street lamp, and a straight-line street lamp within 10 meters from the main traffic direction of the accident road section. The second priority is a main lighting area of 5-15 meters, and a side street lamp near the intersection within 20 meters from the accident street lamp. The third priority is an auxiliary lighting area and a main lighting transition street lamp within 15-30 meters from the main traffic flow direction. The fourth priority is a background lighting area within 30 meters from the accident street lamp.
6. The intelligent street light cloud platform control management system according to claim 5, wherein, The intelligent color temperature adjustment module adjusts the priority of the street lamp. Specifically, The street lamps are sequentially adjusted in the first priority, the second priority, the third priority and the fourth priority, specifically: after the light intensity of the street lamps of the first priority is adjusted, the light intensity distribution area of the accident street lamp is obtained, the preset light intensity distribution area is extracted, and the two are matched, if there is no lighting blind area, a completion signal is generated and sent to the cloud platform center, if there is a lighting blind area, the street lamps of the second priority are continuously adjusted until there is no lighting blind area in the accident street lamp light intensity distribution area.
7. The intelligent street light cloud platform control management system according to claim 1, wherein, The cloud platform center creates a user operation interface according to the display screen, and sets the interface of the lighting state adjustment, and the specific process is as follows: The display screen creates a user operation interface, and the user operation interface includes lighting state adjustment, which includes on-off control, brightness adjustment, street lamp parameter initialization and real-time data query; wherein the on-off control is that the user flexibly sets the on-off time of the street lamp according to the demand, and the display screen is divided into on-time selection and off-time selection; the brightness adjustment refers to adjusting the brightness of the street lamp according to the environmental light intensity and the traffic flow, and the brightness of the street lamp is divided into 1, 2, 3, 4 and 5 brightness levels, 1 represents the minimum brightness, and 5 represents the maximum brightness; the street lamp parameter initialization is to adjust the parameters of the street lamp, including sensor calibration parameters and communication parameters; the real-time data query is to view the operation data of the street lamp through the display screen, and the operation data includes current, voltage, power and light intensity.
8. The intelligent street light cloud platform control management system according to claim 7, wherein, The cloud platform center sets the maintenance management allocation, specifically: The maintenance management allocation includes lamp adjustment and collision maintenance, the lamp adjustment is to receive the positioning and numbering of the urgently needed lamp replacement, and the corresponding positioning and numbering are sent to the mobile terminal of the on-duty maintenance personnel, and the text displays the replacement lamp symbol; the collision maintenance is to receive the adjustment completion signal, and the positioning of the street lamp is sent to the mobile terminal of the on-duty maintenance personnel, and the text displays the collision maintenance symbol. 9.The intelligent street light cloud platform control management system of claim 1, wherein, The sensor acquisition module acquires the self-check information and external video information of the street lamp in real time according to the sensors installed on the street lamp, and uploads the data to the cloud platform center, and the specific process is as follows: Each type of sensor is installed on the street lamp, including current sensor, voltage sensor, acceleration sensor, pressure sensor, image sensor and light sensor; The self-check time is set to ten o'clock every day in the cloud platform center, and the self-check instruction is intelligently generated and sent to each street lamp control terminal, the current data and voltage data of the street lamp are acquired by the current sensor and voltage sensor in real time, and the real-time current parameter value and voltage parameter value of the street lamp are acquired; the appearance image of the street lamp is acquired by the image sensor in real time, and the appearance image of the street lamp is acquired; The acceleration sensor, the pressure sensor and the image sensor are arranged to collect in real time for 24 hours, receive a collection instruction, detect object acceleration data before the road lamp suffers a collision through the acceleration sensor in real time, extract the detected acceleration data, obtain an acceleration parameter value of the object, detect pressure data when the object collides with the road lamp through the pressure sensor in real time, extract the detected pressure data, obtain a pressure parameter value of the road lamp, collect images of five minutes before and after the object collides through the image sensor, and obtain an object collision video; and collect environmental light data through the light sensor in real time, and obtain an environmental light intensity outside the road lamp.
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