Intelligent street lamp dimming system based on power line transmission signal

Abstract

The invention relates to the technical field of intelligent illumination control, and discloses an intelligent street lamp dimming system based on a power line transmission signal, and the system comprises a sensor module which is used for obtaining and collecting multi-dimensional sensing data of a corresponding street lamp position in real time; the area control terminal is connected with the sensor module and receives and uploads the multi-dimensional sensing data through a power line; the central controller is used for executing a dynamic region division algorithm according to the multi-dimensional sensing data to divide independent control regions of the street lamp, and sending a street lamp brightness adjusting instruction according to a brightness optimization model; the dimming driving module is used for receiving the brightness adjusting instruction transmitted by the power line and adjusting the brightness of the street lamp in the corresponding independent control area; by analyzing and fusing the multi-dimensional sensing data, the dynamic grouping of the street lamps can be realized, so that the regional dynamic dimming is realized, the optimization of the energy-saving energy efficiency can be realized, and the full life cycle operation cost of the street lamps can be reduced.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent lighting control, and in particular to an intelligent street lamp dimming system based on power line transmission signals. Background Art

[0002] City roads, highway lighting, etc. play a very important role in the city's traffic, public security, and beautification. They are the window of a city and an important part of a city's infrastructure. If street lights cannot work properly, it will not only affect the city's image, but also easily cause traffic safety accidents.

[0003] As an important part of infrastructure, urban road lighting systems consume about 2.5%-3% of global electricity. Traditional street lamps generally use high-pressure sodium lamps or fixed-brightness LED light sources, which are operated in static grouping or simple timing control mode, that is, timers are installed in the street lamp distribution box to turn on and off the lights automatically at the scheduled time; and some landscape lamp switches are usually manually controlled. Faults during operation can only be discovered when patrol personnel arrive at the site, so it is difficult to communicate and repair in a timely manner.

[0004] According to statistics from the International Energy Agency (IEA), the traditional street lighting system cannot dynamically respond to traffic demand, and the average redundant lighting time at night is 4-6 hours, resulting in about 35%-50% ineffective energy consumption. Typical performance is: The system still operates at full power during low traffic hours (e.g. 1-5 a.m.); Adjacent road sections use the same brightness due to significant differences in traffic volume (such as the junction of commercial and industrial areas).

[0005] Typical case: Measured data from the main roads of a provincial capital city showed that under fixed brightness mode, the actual lighting demand in the early morning hours was only 40% of the design value, but the system still ran at 100% power, wasting more than 800kWh of electricity per day.

[0006] The current mainstream solutions (such as CN112867205A, US20210307089A1) mostly rely on a single parameter to trigger dimming: Time control mode: only adjust the brightness according to the preset time period, and cannot adapt to sudden changes in traffic (such as the end of a large-scale event); Basic sensor mode: using a single microwave radar or photosensitive sensor, with a high misjudgment rate (such as flying birds triggering radar signals); Fixed threshold zoning: dividing the control area by administrative boundaries or fixed lengths (such as every 500 meters as a group), resulting in cross-regional traffic being fragmented and controlled.

[0007] In summary, there is an urgent need for a solution that integrates highly reliable communications, multimodal sensing, and intelligent decision-making to achieve refined dynamic dimming of street lighting systems without the need for additional wiring. Summary of the invention

[0008] In order to realize the refined dynamic dimming of the street lamp system, the present application provides an intelligent street lamp dimming system based on power line transmission signal, which adopts the following technical solutions: An intelligent street lamp dimming system based on power line transmission signal, comprising: The sensor module is used to acquire multi-dimensional sensor data corresponding to the street lamp position in real time; A regional control terminal connected to the sensor module, receiving and uploading the multi-dimensional sensor data via a power line; A central controller executes a dynamic area division algorithm to divide the street lamps into independent control areas according to the multi-dimensional sensing data, and sends street lamp brightness adjustment instructions according to a brightness optimization model; The dimming drive module receives the brightness adjustment command transmitted through the power line and adjusts the brightness of the street lights in the corresponding independent control area; The multi-dimensional sensor data includes the current time, vehicle density, pedestrian density, vehicle speed, vehicle classification, and personnel speed and personnel classification; the dynamic area division algorithm includes: In real time, based on the spatial distribution of vehicle density and pedestrian density, adjacent street lights are merged into independent control areas through clustering.

[0009] By adopting the above-mentioned technical scheme, the present application can realize dynamic grouping of street lamps through analysis and fusion of multi-dimensional sensor data, thereby realizing regional dynamic dimming, which can greatly reduce the redundant lighting area and reduce the operating time of lamps at full power or high power, thereby realizing energy-saving and energy-efficiency optimization and reducing the full life cycle operating cost of street lamps. At the same time, communication based on power transmission lines can reduce the cost of line modification on the one hand, and greatly improve the anti-interference performance during long-distance transmission on the other hand compared with mainstream wireless communication solutions.

[0010] Optionally, the dynamic region division algorithm includes: Get the geographic location and corresponding number of all street lights; Calculate the similarity between street lamp i and its adjacent street lamp j in a limited area with a diameter of R ; ; The center of the limited area coincides with the position of the street lamp i. is the straight-line distance between the street lamp i and the street lamp j, is the value of the kth sensor data configured on the street lamp i, is the value of the kth sensor data configured on the street lamp j, is the maximum value corresponding to the kth type of sensor data, and z is the total number of sensor data types; In the limited area, the similarity Greater than or equal to the specified similarity threshold The street lights are divided into the independently controlled areas.

[0011] By adopting the above technical solution, through similarity The calculation can determine the difference and similarity of the environment at adjacent street lamp locks. The larger the value, the smaller the environmental difference between adjacent street lamps. Therefore, the same brightness adjustment instructions should be used, eliminating the need to control each street lamp individually, reducing control management costs and energy waste, and giving passing cars and pedestrians a sense of street lamp movement, ensuring normal use by users.

[0012] Optionally, the dynamic region division algorithm includes: Configure the specified path length , get the specified path length The number of street light division areas m; like , then the specified similarity threshold Adjust the value until ; in, , is the minimum number of divisions, The default standard path length.

[0013] By adopting the above technical solution, the number of unnecessary or excessive dynamic area divisions can be reduced, and the management and control costs can be reduced.

[0014] Optionally, the method for acquiring the brightness adjustment instruction includes: ; ; in, For real-time traffic flow, is the traffic density, is the theoretical maximum traffic flow, is the theoretical maximum traffic density, , is the average vehicle speed, is the vehicle speed limit, is the average pedestrian speed, is the theoretical maximum pedestrian speed, To preset the demarcation time point, is the specified value, is the minimum reference brightness value, is a dynamic weight, inversely proportional to the illumination and directly proportional to the rainfall and fog index. To dynamically fine-tune the weights, is a natural constant, t is the current time point, , , , are the specified weighting coefficients of the corresponding items respectively.

[0015] Optionally, the sensor module includes: Geomagnetic sensor, used to detect vehicle presence and estimate vehicle speed; Pyroelectric infrared sensor, used to sense the change of infrared intensity caused by human body thermal radiation, and cooperate with Fresnel lens to enhance the signal; Embedded cameras to assist with visual verification of vehicle density and anomaly detection.

[0016] Optionally, it also includes: The cloud server deploys a high-availability cluster server, runs the digital twin engine, synchronizes the city's multi-dimensional data in real time, and simultaneously accesses meteorological data, which includes illumination, rainfall, and fog index.

[0017] Optionally, the cloud server deploys a target detection model, and the target detection model performs visual verification and anomaly detection based on the video data acquired by the embedded camera; The visual verification includes: classifying the target bodies in the detection area and selecting detection frames through the target detection model, and determining the number of target bodies according to the number of detection frames; The anomaly detection includes crowd gathering and traffic accidents; The rules for judging crowd gathering include: The crowd density exceeds the specified crowd density threshold and the number of detection frames determined to be human bodies is greater than the specified number threshold; The rules for judging traffic accidents include: Abnormal vehicle posture: sudden change in aspect ratio > 20%; Discontinuous motion: acceleration > 3m / s²; Multi-target interaction: multiple detection boxes with IoU>0.6 for 3 seconds; If any of the above items is met, it is determined that a traffic accident has occurred.

[0018] Optionally, the dimming drive module adopts a hybrid dimming architecture: integrating PWM high-frequency chopping and CCR linear regulation, and the lamp used in the street lamp integrates at least 4 independent LED light strings; Channel 1: color temperature 5000K, maximum current 1.2A, providing main road lighting; Channel 2: color temperature 3000K, maximum current 0.8A, providing warm light for sidewalks; Channel 3: color temperature 6500K, maximum current 1.5A, providing emergency high brightness; Channel 4: color temperature RGBW, maximum current 0.5A per color, providing landscape interaction.

[0019] Optionally, the sensor module includes a power line carrier communication module responsible for communicating with the regional control terminal using a high-speed power line carrier technology HPLC; The power line carrier communication module, the physical layer supports OFDM modulation, the number of subcarriers is ≥512, the symbol rate is 10ksps, the data link layer supports TDMA / CSMA mixed access mode, and the time slot length is 100ms; The power line carrier communication module adopts adaptive frequency band switching technology, supports 0.7-12MHz full frequency band coverage, and is divided into three sub-bands: Low frequency band: 0.7-3MHz (except 3MHz, the anti-attenuation performance is ≥85dB); Mid-band: 3-6MHz (except 6MHz, which is the default communication frequency band); High frequency band: 6-12MHz (short distance high speed transmission); The spectrum sensing algorithm monitors the channel quality in real time, dynamically selects the optimal sub-band, and independently sets the power spectrum density in each sub-band.

[0020] Optionally, the minimum reference brightness value The methods for obtaining include: ; in, is the weather severity factor, To preset dynamic coefficient functions associated with weather severity coefficients, For road level The corresponding reference brightness value.

[0021] In summary, the present application includes at least one of the following beneficial technical effects: 1. This application can realize dynamic grouping of street lamps through analysis and fusion of multi-dimensional sensor data, thereby realizing regional dynamic dimming, which can greatly reduce the redundant lighting area and reduce the operating time of lamps at full power or high power, which can not only optimize energy saving and energy efficiency, but also reduce the full life cycle operating cost of street lamps. At the same time, communication based on power transmission lines can reduce the cost of line modification on the one hand, and on the other hand, compared with mainstream wireless communication solutions, it can greatly improve the anti-interference performance during long-distance transmission.

[0022] 2. By similarity The calculation can determine the difference and similarity of the environment at adjacent street lamp locks. The larger the value, the smaller the environmental difference between adjacent street lamps. Therefore, the same brightness adjustment instructions should be used, eliminating the need to control each street lamp individually, reducing control management costs and energy waste, and giving passing cars and pedestrians a sense of street lamp movement, ensuring normal use by users.

[0023] 3. This application relies on the low latency characteristics of power line communication (PLC) and cooperates with brightness adjustment instructions to dynamically adjust the brightness according to the needs of different time periods, real-time traffic data, weather data and other special events, to achieve a full-link rapid response from perception to execution, and optimize lighting management efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a schematic diagram of the module connection of the intelligent street light dimming system in this application. DETAILED DESCRIPTION

[0025] Embodiments of the present application are described in detail below, examples of which are shown in the accompanying drawings.

[0026] In the description of this specification, the description with reference to the terms "certain embodiments", "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiments or examples are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0027] The present application embodiment discloses an intelligent street lamp dimming system based on power line transmission signals, such as Figure 1 As shown, including: The sensor module is used to acquire multi-dimensional sensor data corresponding to the street lamp position in real time; Specifically, the sensor module in this embodiment includes a power line carrier communication module responsible for communicating with the regional control terminal using high-speed power line carrier technology HPLC; the power line carrier communication module supports OFDM modulation at the physical layer, the number of subcarriers is ≥512, the symbol rate is 10ksps, and its data link layer supports TDMA / CSMA hybrid access mode, and the time slot length is 100ms; the power line carrier communication module adopts adaptive frequency band switching technology, supports 0.7-12MHz full frequency band coverage, and is divided into three sub-bands: Low frequency band: 0.7-3MHz (except 3MHz, the anti-attenuation performance is ≥85dB); Mid-band: 3-6MHz (except 6MHz, which is the default communication frequency band); High frequency band: 6-12MHz (short distance high speed transmission); The spectrum sensing algorithm monitors the channel quality in real time, dynamically selects the optimal sub-band, and independently sets the power spectrum density in each sub-band.

[0028] A regional control terminal is connected to the sensor module, receives and encapsulates the multi-dimensional sensor data through power line carrier communication, and can upload it to the central controller using a TDMA time slot allocation mechanism; A central controller executes a dynamic area division algorithm to divide the street lamps into independent control areas according to the multi-dimensional sensing data, and sends street lamp brightness adjustment instructions according to a brightness optimization model; The dimming drive module receives the brightness adjustment command transmitted through the power line and adjusts the brightness of the street lights in the corresponding independent control area; The multi-dimensional sensor data includes the current time, vehicle density, pedestrian density, vehicle speed, vehicle classification, and personnel speed and personnel classification; the dynamic area division algorithm includes: In real time, based on the spatial distribution of vehicle density and pedestrian density, adjacent street lights are merged into independent control areas through clustering.

[0029] In this embodiment, at least three types of sensors are deployed, and the sensor modules include: The geomagnetic sensor can use the HMC1022 magnetoresistive sensor (sensitivity ±0.1μT, sampling rate 10Hz), which can be deployed every 30-50 meters. It can detect the magnetic field distortion caused by the metal parts of the vehicle and eliminate the geomagnetic background noise through the differential signal. It is used to detect the presence of the vehicle and estimate the speed. It can work all day and is not affected by rain, snow, or light. The service life is more than 10 years. Pyroelectric infrared sensors are used for pedestrian detection. They can sense changes in infrared intensity caused by human thermal radiation and enhance signals with Fresnel lenses. They output pedestrian passing frequency (times / minute) and movement direction (dual-element differential detection). They have the advantages of low power consumption (<1mW) and privacy-friendly (no image acquisition).

[0030] Embedded cameras are used to assist in visual verification of traffic density and anomaly detection. The OmniVision OV4689 image sensor can be used, supporting HDR (120dB) and a dynamic range beyond the human eye.

[0031] Multidimensional sensor data can be uploaded to cloud servers, deployed on high-availability cluster servers, and run digital twin engines to synchronize multidimensional urban data in real time and access meteorological data simultaneously.

[0032] The cloud server may deploy a target detection model trained based on YOLOv4, and the target detection model performs visual verification and anomaly detection based on the video data acquired by the embedded camera; The visual verification includes: classifying the target bodies in the detection area and selecting detection frames through the target detection model, and determining the number of target bodies according to the number of detection frames; The anomaly detection includes crowd gathering and traffic accidents; The rules for judging crowd gathering include: The crowd density exceeds the specified crowd density threshold and the number of detection frames determined to be human bodies is greater than the specified number threshold; The rules for judging traffic accidents include: Abnormal vehicle posture: sudden change in aspect ratio > 20%; Discontinuous motion: acceleration > 3m / s²; Multi-target interaction: multiple detection boxes with IoU>0.6 for 3 seconds; If any of the above items is met, it is determined that a traffic accident has occurred.

[0033] By adopting the above-mentioned technical scheme, the present application can realize dynamic grouping of street lamps through analysis and fusion of multi-dimensional sensor data, thereby realizing regional dynamic dimming, which can greatly reduce the redundant lighting area and reduce the operating time of lamps at full power or high power, thereby realizing energy-saving and energy-efficiency optimization and reducing the full life cycle operating cost of street lamps. At the same time, communication based on power transmission lines can reduce the cost of line modification on the one hand, and greatly improve the anti-interference performance during long-distance transmission on the other hand compared with mainstream wireless communication solutions.

[0034] Optionally, the dynamic region division algorithm includes: Get the geographic location and corresponding number of all street lights; Calculate the similarity between street lamp i and its adjacent street lamp j in a limited area with a diameter of R ; ; The center of the limited area coincides with the position of the street lamp i. is the straight-line distance between the street lamp i and the street lamp j, is the value of the kth sensor data configured on the street lamp i, is the value of the kth sensor data configured on the street lamp j, is the maximum value corresponding to the kth type of sensor data, and z is the total number of sensor data types; In the limited area, the similarity Greater than or equal to the specified similarity threshold The street lights are divided into the independently controlled areas.

[0035] By adopting the above technical solution, through similarity The calculation can determine the difference and similarity of the environment at adjacent street lamp locks. The larger the value, the smaller the environmental difference between adjacent street lamps. Therefore, the same brightness adjustment instructions should be used, eliminating the need to control each street lamp individually, reducing control management costs and energy waste, and giving passing cars and pedestrians a sense of street lamp movement, ensuring normal use by users.

[0036] Optionally, the dynamic region division algorithm includes: Configure the specified path length , get the specified path length The number of street light division areas m; like , then the specified similarity threshold Adjust the value until ; in, , is the minimum number of divisions, To round down, The default standard path length.

[0037] By adopting the above technical solution, the number of unnecessary or excessive dynamic area divisions can be reduced, and the management and control costs can be reduced.

[0038] Optionally, the method for acquiring the brightness adjustment instruction includes: ; ; in, For real-time traffic flow, is the traffic density, is the theoretical maximum traffic flow, is the theoretical maximum traffic density, , is the average vehicle speed, is the vehicle speed limit, is the average pedestrian speed, is the theoretical maximum pedestrian speed, To preset the demarcation time point, is the specified value, is the minimum reference brightness value.

[0039] In this embodiment, You can choose 10 o'clock in the evening to reflect the difference in the impact of traffic on brightness adjustment before and after the preset boundary time point. By normalizing the real-time vehicle flow and pedestrian flow density, and performing weighted calculation with the average vehicle speed, average pedestrian speed and the minimum benchmark brightness value, you can get the final street light brightness control value that needs to be achieved. ;in addition, and All are dynamic weights. It is inversely proportional to the illumination and directly proportional to the rainfall and fog index. Can be used with Or the noise intensity in the area is positively correlated, and the value range of 0.9-1.1 can be pre-configured. It can be set according to the level of the corresponding road and weather data. If a traffic accident is detected, If a crowd is detected, the If a traffic accident and crowd gathering are detected at the same time, the The limit is no more than 1.2.

[0040] In addition, the minimum reference brightness value The methods for obtaining include: ; in, is the weather severity factor, To preset dynamic coefficient functions associated with weather severity coefficients, For road level Corresponding reference brightness value. Weather severity coefficient Quantitative calculation can be performed based on meteorological data. Meteorological data include illuminance, rainfall, and dense fog index. A dynamic coefficient function can be designed that is negatively correlated with illuminance but positively correlated with rainfall and dense fog index to calculate the weather severity coefficient. Calculation can be performed in a weighted manner in this embodiment, and finally normalized (should meet the weather bad coefficient The minimum value is 0.8 and the maximum value is 1.4) to complete the minimum benchmark brightness value dynamic adjustment.

[0041] Optionally, the dimming drive module adopts a hybrid dimming architecture: integrating PWM high-frequency chopping and CCR linear regulation, and the lamp used in the street lamp integrates at least 4 independent LED light strings; Channel 1: color temperature 5000K, maximum current 1.2A, providing main road lighting; Channel 2: color temperature 3000K, maximum current 0.8A, providing warm light for sidewalks; Channel 3: color temperature 6500K, maximum current 1.5A, providing emergency high brightness; Channel 4: color temperature RGBW, maximum current 0.5A per color, providing landscape interaction.

[0042] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. An intelligent street lamp dimming system based on power line transmission signal, characterized in that: include: The sensor module is used to acquire multi-dimensional sensor data corresponding to the street lamp position in real time; A regional control terminal connected to the sensor module, receiving and uploading the multi-dimensional sensor data via a power line; A central controller executes a dynamic area division algorithm to divide the street lamps into independent control areas according to the multi-dimensional sensing data, and sends street lamp brightness adjustment instructions according to a brightness optimization model; The dimming drive module receives the brightness adjustment command transmitted through the power line and adjusts the brightness of the street lights in the corresponding independent control area; The multi-dimensional sensor data includes the current time, vehicle density, pedestrian density, vehicle speed, vehicle classification, and personnel speed and personnel classification; the dynamic area division algorithm includes: In real time, based on the spatial distribution of vehicle density and pedestrian density, adjacent street lights are merged into independent control areas through clustering.

2. The intelligent street lamp dimming system based on power line transmission signal according to claim 1 is characterized in that: The dynamic region partitioning algorithm comprises: Get the geographic location and corresponding number of all street lights; Calculate the similarity between street lamp i and its adjacent street lamp j in a limited area with a diameter of R ; ； The center of the limited area coincides with the position of the street lamp i. is the straight-line distance between the street lamp i and the street lamp j, is the value of the kth sensor data configured on the street lamp i, is the value of the kth sensor data configured on the street lamp j, is the maximum value corresponding to the kth type of sensor data, and z is the total number of sensor data types; In the limited area, the similarity Greater than or equal to the specified similarity threshold The street lights are divided into the independently controlled areas.

3. The intelligent street lamp dimming system based on power line transmission signal according to claim 2 is characterized in that: The dynamic region partitioning algorithm comprises: Configure the specified path length , get the specified path length The number of street light division areas m; like , then the specified similarity threshold Adjust the value until ; in, , is the minimum number of divisions, The default standard path length.

4. The intelligent street lamp dimming system based on power line transmission signal according to claim 1, characterized in that: The method for obtaining the brightness adjustment instruction includes: ； ； in, is the street light brightness control value, For real-time traffic flow, is the traffic density, is the theoretical maximum traffic flow, is the theoretical maximum traffic density, , is the average vehicle speed, is the vehicle speed limit, is the average pedestrian speed, is the theoretical maximum pedestrian speed, To preset the demarcation time point, is the specified value, is the minimum reference brightness value, is a dynamic weight, inversely proportional to the illumination and directly proportional to the rainfall and fog index. To dynamically fine-tune the weights, is a natural constant, t is the current time point, , , , are the specified weighting coefficients of the corresponding items respectively.

5. The intelligent street lamp dimming system based on power line transmission signal according to claim 4 is characterized in that: The sensor module comprises: Geomagnetic sensor, used to detect vehicle presence and estimate vehicle speed; Pyroelectric infrared sensor, used to sense the change of infrared intensity caused by human body thermal radiation, and cooperate with Fresnel lens to enhance the signal; Embedded cameras to assist with visual verification of vehicle density and anomaly detection.

6. The intelligent street lamp dimming system based on power line transmission signal according to claim 5, characterized in that: Also includes: The cloud server deploys a high-availability cluster server, runs the digital twin engine, synchronizes the city's multi-dimensional data in real time, and simultaneously accesses meteorological data, which includes illumination, rainfall, and fog index.

7. The intelligent street lamp dimming system based on power line transmission signal according to claim 6, characterized in that: The cloud server deploys a target detection model, which performs visual verification and anomaly detection based on the video data acquired by the embedded camera; The visual verification includes: classifying the target bodies in the detection area and selecting detection frames through the target detection model, and determining the number of target bodies according to the number of detection frames; The anomaly detection includes crowd gathering and traffic accidents; The rules for judging crowd gathering include: The crowd density exceeds the specified crowd density threshold and the number of detection frames determined to be human bodies is greater than the specified number threshold; The rules for judging traffic accidents include: Abnormal vehicle posture: sudden change in aspect ratio > 20%; Discontinuous motion: acceleration > 3m / s²; Multi-target interaction: multiple detection boxes with IoU>0.6 for 3 seconds; If any of the above items is met, it is determined that a traffic accident has occurred.

8. The intelligent street lamp dimming system based on power line transmission signal according to claim 1, characterized in that: The dimming drive module adopts a hybrid dimming architecture: integrating PWM high-frequency chopping and CCR linear regulation. The lamp used in the street lamp integrates at least 4 independent LED light strings; Channel 1: color temperature 5000K, maximum current 1.2A, providing main road lighting; Channel 2: color temperature 3000K, maximum current 0.8A, providing warm light for sidewalks; Channel 3: color temperature 6500K, maximum current 1.5A, providing emergency high brightness; Channel 4: color temperature RGBW, maximum current 0.5A per color, providing landscape interaction.

9. The intelligent street lamp dimming system based on power line transmission signal according to claim 1, characterized in that: The sensor module includes a power line carrier communication module responsible for communicating with the regional control terminal using high-speed power line carrier technology HPLC; The power line carrier communication module, the physical layer supports OFDM modulation, the number of subcarriers is ≥512, the symbol rate is 10ksps, the data link layer supports TDMA / CSMA mixed access mode, and the time slot length is 100ms; The power line carrier communication module adopts adaptive frequency band switching technology, supports 0.7-12MHz full frequency band coverage, and is divided into three sub-bands: Low frequency band: 0.7-3MHz; Mid-band: 3-6MHz; High frequency band: 6-12MHz; The spectrum sensing algorithm is used to monitor channel quality in real time, dynamically select the optimal sub-band, and independently set the power spectrum density in each sub-band.

10. The intelligent street lamp dimming system based on power line transmission signal according to claim 6, characterized in that: The minimum reference brightness value The methods for obtaining include: ； in, is the weather severity factor, To preset dynamic coefficient functions associated with weather severity coefficients, For road level The corresponding reference brightness value.

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