Intelligent lighting dimming control system and method

Abstract

The invention discloses an intelligent lighting dimming control system and method. The intelligent lighting dimming control system comprises a central control server, an intelligent lamp controller, a single lamp controller and a sensor node, the central control server is used for monitoring the operation of the intelligent lamp equipment, remotely controlling the brightness of the intelligent lamp, pushing the fault of the intelligent lamp, counting the fault and power consumption, and coordinating the operation of the intelligent lamp controller; the intelligent lamp controller is used for receiving and analyzing the instruction sent by the central control server and issuing analyzed information to each intelligent lamp, and is also used for integrating working state information of the intelligent lamps and uploading the working state information to the central control server; the single lamp controller is used for receiving the control instruction sent by the intelligent lamp controller to adjust the work of the intelligent lamp, and is also used for counting the work information of the intelligent lamp; the sensor node is used for collecting environment information data and sending the data to the intelligent lamp controller. According to the invention, the human resource configuration is optimized, the energy utilization efficiency is improved, and the operation safety of the harbor district is ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent control of lamps, and in particular to an intelligent lighting dimming control system and method. Background Art

[0002] Domestic port operations all adopt a 24-hour all-weather operation mode. The large-scale LED lights are important facilities to ensure the safe operation of the dock yard at night, and the power consumed by port lighting is about 10% of the total energy consumption of the port area, which is relatively energy-intensive. The existing port area lighting control method is mostly "time control + contactor", which only lights up and turns off at a predetermined time. At night, regardless of whether there are ships, machinery, or personnel working on the dock and yard, the LED lights will illuminate all night, wasting a lot of electricity resources. When temporary lighting is needed during special weather conditions such as rainy daytime or sandstorms, blowing sand, etc., the lighting system cannot be started immediately. The use of this traditional control method will result in the situation that the lighting cannot be started when it is needed during the day and cannot be turned off in places where there is no lighting demand at night. The lighting equipment cannot be used reasonably and effectively, resulting in great waste. The equipment cannot be kept in the best use and maintenance state. In order to solve this problem, the patent "An Intelligent Dimming Control Method for Illuminating Devices" with application number 201810112934.2 discloses a lighting control method that automatically turns on and off the lighting device by presetting the time, and can also gradually dim or brighten the device according to the set time. However, this method lacks flexibility. Once the preset time is set, if it is not updated in time, it may become inappropriate due to changes in the external environment. For example, if the weather suddenly turns cloudy and the light is insufficient, and the preset time has not arrived, the customer will not be able to enjoy sufficient lighting. This method cannot adapt to dynamic environments. This method relies on a fixed schedule to control lighting, but it does not take into account the changes in lighting conditions in the actual environment. For example, during the day, even if the preset opening time is reached, if the light on the scene is bright enough, no additional lighting is required. This method lacks personalized settings. The lighting requirements of the on-site working environment may be different, and a fixed dimming solution may not meet the work needs of everyone. Summary of the invention

[0003] The purpose of the present invention is to address the problems existing in the above-mentioned prior art and provide a method that can automatically adjust the lighting status of the port area according to environmental changes, which can not only optimize the allocation of human resources, but also improve the energy utilization efficiency and ensure the safety of port operations.

[0004] The technical solution to achieve the purpose of the present invention is: on the one hand, an intelligent lighting dimming control system is provided, the system includes a central control server, an intelligent lamp controller, a single lamp controller and a sensor node;

[0005] The central control server is deployed on the network platform to monitor the operation of smart lamps, remotely control the brightness of smart lamps, push smart lamp faults, fault and power consumption statistics, and coordinate the operation of smart lamp controllers;

[0006] The smart lamp controller, as a central node, is used to receive and analyze the instructions sent by the central control server, and send the analyzed information to each smart lamp, and is also used to integrate the working status information of the smart lamp and upload it to the central control server;

[0007] The single lamp controller, as an edge control node, is mounted on the smart lamp and is used to receive control instructions sent by the smart lamp controller to adjust the operation of the smart lamp and to collect statistics on the operation information of the smart lamp;

[0008] The sensor node, as an edge sensing node, is used to collect environmental information data and send the data to the smart lamp controller.

[0009] Furthermore, the central control server communicates with the smart lamp controller through 4G technology; the smart lamp controller obtains the status and energy consumption information of the lamp from the smart lamp through the Internet of Things technology, and completes the action of controlling the status of the smart lamp.

[0010] Furthermore, there are multiple edge control nodes deployed at multiple points.

[0011] Furthermore, the edge sensing node includes a light intensity acquisition sensor, a GPS, a motion detection sensor and a first fault detection module, wherein the first fault detection module is used to monitor in real time whether the edge sensing node has a fault and issue an alarm prompt; the edge sensing node sends the information collected by the light intensity acquisition sensor, the GPS, and the motion detection sensor to the central node through the LoRa / 485 module;

[0012] The edge sensing node implements:

[0013] Initialize the hardware and operating system;

[0014] Initialize the light acquisition sensor, GPS, motion detection sensor and LoRa / 485 module;

[0015] After the LoRa / 485 module is initialized successfully, a communication thread between the edge sensing node and the central node is created. The communication thread passively reports the ambient light intensity, GPS location information, and motion detection information of the area based on the request sent by the central node.

[0016] Furthermore, the central node includes a central controller and a backup central controller. The backup central controller monitors the heartbeat information sent by the central controller in real time. When the central controller fails, the backup central controller will actively replace the central controller to complete the control of the smart lamps, and after receiving the heartbeat of the central controller, the backup central controller will automatically give up the control of the lighting dimming control system.

[0017] The central node also includes a second fault detection module, which is used to monitor the working status of the smart lamp in real time.

[0018] Furthermore, the central node provides a human-computer interaction interface for realizing remote control and parameter setting of the smart lamps, and is also used to display working information of the lighting system composed of the smart lamps.

[0019] Furthermore, the central node includes three threads: screen interaction thread, intelligent control thread and backup root node communication thread, which respectively realize human-computer interaction, lamp control and system status monitoring;

[0020] In the intelligent control thread, the central node integrates and analyzes the collected ambient light intensity, GPS location information, motion detection information and time information, determines the control amount of the edge control node, and sends the control instructions to the relevant edge control node through the LoRa / 485 / PLC module;

[0021] In the screen interaction thread, the central node performs specific tasks according to the control commands read from the screen to achieve human-computer interaction;

[0022] In the backup root node communication thread, the central node continuously sends heartbeat information to the backup central controller. If the backup central controller does not receive heartbeat data for more than a preset period of time, it will determine that the central controller is faulty and actively take over the central controller to complete the lighting control work. After receiving the heartbeat of the central controller, the backup central controller will automatically give up control of the lighting dimming control system.

[0023] Furthermore, the edge control node implements:

[0024] Initialize the Fal library for Flash reading and writing;

[0025] Read device information parameters from Flash, including node address information of LoRa / 485 / PLC;

[0026] Initialize the interface for controlling the brightness of smart lamps;

[0027] Initialize the watchdog;

[0028] Create a lamp status monitoring thread;

[0029] Create energy consumption and fault detection threads;

[0030] Create a controller terminal communication thread;

[0031] Feed the dog periodically in the main loop.

[0032] Furthermore, the edge control node includes a communication module, an energy consumption monitoring module, a relay switch module, a dimming module, a power module and a control module;

[0033] The power supply module includes an AC / DC power supply module and a DC / DC power supply module; wherein the AC / DC power supply module is used to provide a 12V working voltage for the relay switch module and the dimming module; the DC / DC power supply module is used to provide a 3V3 working voltage for the communication module, the energy consumption monitoring module, and the control module;

[0034] The AC220V power input voltage passes through the energy consumption monitoring module, which collects single-phase AC power parameters and sends them to the main control module;

[0035] The main control module is used to analyze the status information of the smart lamps and edge control nodes, and send the status information to the central node through the communication module;

[0036] The edge control node receives the light control instruction output by the central node through the communication module, and sends the light control instruction to the main control module;

[0037] The main control module outputs a PWM signal to control the dimming module to implement 0-10V / PWM dimming, and realizes the opening and closing of the intelligent lamp by controlling the relay opening and closing module.

[0038] On the other hand, a control method based on the intelligent lighting dimming control system is provided, the method comprising:

[0039] The central node obtains environmental information from the edge sensing node;

[0040] Perform fuzzy reasoning based on environmental information to make specific lighting control instructions;

[0041] The central node sends the light control instruction to the edge control node through the Internet of Things technology;

[0042] The edge control node adjusts the brightness of the smart lamp according to the received instructions, thereby realizing remote adaptive lighting control.

[0043] Compared with the prior art, the present invention has the following significant advantages:

[0044] (1) Adopt an intelligent control system based on sensor technology, combined with GPS sunrise and sunset time calculation, light intensity detection, motion detection and other functions, to achieve automatic adjustment of lighting switches and brightness. Such a system can not only reduce labor costs, but also be flexibly adjusted according to actual lighting conditions and port operation needs, thereby improving energy efficiency and ensuring safe operation of the port.

[0045] (2) The present invention can effectively improve the automation level of port area lighting, realize the fully automated control of the lighting system, and automatically adjust the lighting status according to preset conditions without human intervention.

[0046] (3) The present invention can significantly enhance the energy-saving effect and reduce unnecessary power consumption through intelligent dimming control, thereby achieving the goal of energy saving and emission reduction.

[0047] (4) The present invention can improve operational safety and ensure that the port area has sufficient lighting under different time periods and lighting conditions, thereby improving the safety level of the port area. In addition, the present invention is easy to maintain and has remote monitoring and self-diagnosis functions, making maintenance simpler and more efficient.

[0048] (5) The present invention can effectively improve the user experience. Users can easily manage the lighting system through mobile devices or other user interfaces, thereby improving the convenience of use.

[0049] The present invention is further described in detail below in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 The figure is a diagram of the architecture of an intelligent lighting dimming control system in one embodiment.

[0051] Figure 2 The figure is an overall functional block diagram of a central control server in one embodiment.

[0052] Figure 3 Graph showing actual and theoretical lighting energy consumption data for a port in one embodiment.

[0053] Figure 4 The software architecture diagram of the central control server in one embodiment.

[0054] Figure 5 The following is a flowchart of edge sensing node software implementation in one embodiment.

[0055] Figure 6 FIG. 4 is a hardware structure diagram of an edge sensing node in an embodiment.

[0056] Figure 7 The following is a flowchart of the central node software implementation in one embodiment.

[0057] Figure 8The figure is a principle block diagram of a main control board of a central node in an embodiment.

[0058] Fig. 9 The following is a flowchart of edge control node software implementation in one embodiment.

[0059] Fig.10 FIG. 4 is a principle block diagram of an edge control node in an embodiment. DETAILED DESCRIPTION

[0060] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0061] In one embodiment, in combination Figure 1 , provides an intelligent lighting dimming control system, the system includes a central control server, an intelligent lamp controller, a single lamp controller and a sensor node;

[0062] The central control server is deployed on the network platform to monitor the operation of smart lamps, remotely control the brightness of smart lamps, push smart lamp faults, fault and power consumption statistics, and coordinate the operation of smart lamp controllers;

[0063] The smart lamp controller, as a central node, is used to receive and analyze the instructions sent by the central control server, and send the analyzed information to each smart lamp, and is also used to integrate the working status information (real-time status, power, fault information, etc.) of the smart lamp and upload it to the central control server;

[0064] The single lamp controller, as an edge control node, is mounted on the smart lamp and is used to receive control instructions sent by the smart lamp controller to adjust the operation of the smart lamp and to collect statistics on the operation information of the smart lamp;

[0065] The sensor node, as an edge sensing node, is used to collect environmental information data and send the data to the smart lamp controller.

[0066] Here, this method is divided into two levels according to function: central node and edge node. Each level of the system is composed of a certain number of controllers, and the information of the edge nodes is gathered to the central node for processing through wireless communication technology. The central node obtains the ambient light intensity, GPS location information, motion detection, etc. from the edge sensing node, and makes decisions on specific lighting control instructions based on fuzzy reasoning of the ring information. The central node controls the edge control node to realize the function of adaptive lighting control.

[0067] Furthermore, in one embodiment, the central control server communicates with the smart lamp controller through 4G technology; the smart lamp controller obtains the status and energy consumption information of the smart lamp from the smart lamp through the Internet of Things technology (LoRa, 485, PLC), and completes the action of controlling the status of the smart lamp. The overall functional modules of the central control server include: lighting control, group setting, plan setting, fault setting, statistics, asset management, system management; system top functions (user personal information, password change, logout). The overall functional block diagram of the central control server is shown in Figure 2 .

[0068] Preferably, in some embodiments, the central control server adopts B / S architecture and is developed using Spring MVC+Mybatis mode. The software architecture is shown in Figure 4 . It can realize intelligent management and control of large-scale lighting fixtures in the port area. It has functions such as adaptive dimming, real-time status display, big data energy statistics, equipment asset management, and intelligent control. The system has the characteristics of strong security, high availability, low latency, and high stability. While meeting the needs of enterprises for intelligent management of lighting equipment, it can also significantly save energy and reduce enterprise operating costs.

[0069] Further, in one embodiment, the edge sensing node includes a light intensity acquisition sensor, a GPS, a motion detection sensor and a first fault detection module, wherein the first fault detection module is used to monitor in real time whether the edge sensing node has a fault and issue an alarm prompt; the edge sensing node sends the information collected by the light intensity acquisition sensor, the GPS, and the motion detection sensor to the central node through the LoRa / 485 module;

[0070] Combination Figure 5 , the edge sensing node implements:

[0071] Initialize the hardware and operating system;

[0072] Initialize the light acquisition sensor, GPS, motion detection sensor and LoRa / 485 module;

[0073] After the LoRa / 485 module is initialized successfully, a communication thread between the edge sensing node and the central node is created. The communication thread passively reports the ambient light intensity, GPS location information, and motion detection information of the area based on the request sent by the central node.

[0074] Here, the edge sensing node uses LoRa / 485 modulation technology, which has obvious anti-interference and low power consumption characteristics while ensuring the transmission distance. The hardware structure of the edge sensing node is shown in Figure 6 .

[0075] Here, the edge sensing node collects the work site information through sensors and reports the collected information to the central node using the Internet of Things technology (LoRa, 485, PLC). The central node can decide the specific lighting control action based on the current work site information after fuzzy processing and knowledge base reasoning. When the lamp needs to be controlled, the central node sends the control command to the edge control node through the Internet of Things technology (LoRa, 485, PLC). The edge control node adjusts the brightness of the lamp according to the received command, realizing the remote dimming function of the lighting system.

[0076] Furthermore, in one of the embodiments, in order to ensure the overall reliability of the lighting system, a method combining a multi-node operation site information feedback mechanism with a central controller backup mechanism is adopted. Specifically:

[0077] (1) Deploy edge sensing nodes at multiple locations;

[0078] Avoid lighting system abnormalities caused by single node failure.

[0079] (2) The central node includes a central controller and a backup central controller. The backup central controller monitors the heartbeat information sent by the central controller in real time. When the central controller fails, it will actively replace the central controller to complete the control of the smart lamps, and after receiving the heartbeat of the central controller, it will automatically give up the control of the lighting dimming control system;

[0080] By deploying a backup central controller, the entire lighting system can be prevented from downtime due to central controller failure.

[0081] By combining the above two strategies, the overall stability of the lighting system is significantly improved, ensuring the normal operation of the lighting system under extreme conditions. In order to reduce the impact of differences between port areas on energy saving, the system uses a discrete ambient illumination control algorithm. This algorithm further improves the overall energy saving rate of the lighting system by setting different illumination thresholds for different areas.

[0082] Furthermore, in one of the embodiments, the central node further includes a second fault detection module for monitoring the working status of the smart lamp in real time.

[0083] Furthermore, in one of the embodiments, the central node provides a human-computer interaction interface for realizing remote control and parameter setting of the smart lamps, and is also used to display working information (such as energy consumption information, etc.) of the lighting system composed of the smart lamps.

[0084] Furthermore, in one of the embodiments, the central node includes three threads, namely, a screen interaction thread, an intelligent control thread, and a backup root node communication thread, which respectively implement human-computer interaction, lamp control, and system status monitoring;

[0085] In the intelligent control thread, the central node integrates and analyzes the collected ambient light intensity, GPS location information, motion detection information and time information, determines the control amount of the edge control node, and sends the control instructions to the relevant edge control node through the LoRa / 485 / PLC module;

[0086] In the screen interaction thread, the central node performs specific tasks according to the control commands read from the screen to achieve human-computer interaction;

[0087] In the backup root node communication thread, the central node continuously sends heartbeat information to the backup central controller. If the backup central controller does not receive heartbeat data for more than a preset period of time, it will determine that the central controller is faulty and actively take over the central controller to complete the lighting control work. After receiving the heartbeat of the central controller, the backup central controller will automatically give up control of the lighting dimming control system.

[0088] Here, combined Figure 7 , the central node first initializes the RT-Thread operating system, and then initializes the serial port screen and LoRa / 485 / PLC communication modules. Based on the successful initialization of the LoRa / 485 / PLC device, the system will create three threads, namely the screen interaction thread, the intelligent control thread and the backup root node communication thread. The three threads of the central control node software respectively realize the functions of human-computer interaction, lighting control and system status monitoring. In addition, when there is a problem in the system operation process, the error message will be prompted to the screen in time.

[0089] Preferably, in some embodiments, the central node hardware controller mainboard is composed of an ARM core board and an interface board. The interface board has installation interfaces such as LoRa module, 4G module, GPS module, Ethernet, USB, serial port, switch quantity, power module, etc. The main control board provides a logic control and data interaction interface with other hardware boards for communication with other devices. The functional modules of the main control board are relatively independent, and the main control board principle block diagram is as follows: Figure 8 shown.

[0090] Furthermore, in one embodiment, the edge control node is the main body of the lamp control, and has the functions of responding to the lamp control instructions and counting the energy consumption of the lamps. Fig. 9 , whose software implementation includes:

[0091] Initialize the Fal library for Flash reading and writing;

[0092] Read device information parameters from Flash, including LoRa / 485 / PLC node address and other information;

[0093] Initialize the interface for controlling the brightness of smart lamps;

[0094] Initialize the watchdog;

[0095] Create a lamp status monitoring thread;

[0096] Create energy consumption and fault detection threads;

[0097] Create a controller terminal communication thread;

[0098] Feed the dog periodically in the main loop.

[0099] Preferably, in some embodiments, combined Fig.10 , the edge control node includes a communication module, an energy consumption monitoring module, a relay switching module, a dimming module, a power module and a control module;

[0100] The power supply module includes an AC / DC power supply module and a DC / DC power supply module; wherein the AC / DC power supply module is used to provide a 12V working voltage for the relay switch module and the dimming module; the DC / DC power supply module is used to provide a 3V3 working voltage for the communication module, the energy consumption monitoring module, and the control module;

[0101] The AC220V power input voltage passes through the energy consumption monitoring module, which collects single-phase AC power parameters (including voltage, current, active power, power factor, frequency and other electrical parameters) and sends them to the main control module through the serial port;

[0102] The main control module is used to analyze the status information of the smart lamps and edge control nodes, and send the status information to the central node through the communication module;

[0103] The edge control node receives the light control command output by the central node through the communication module, and sends the light control command to the main control module through the serial port or SPI interface;

[0104] The main control module outputs a PWM signal to control the dimming module to implement 0-10V / PWM dimming, and realizes the opening and closing of the intelligent lamp by controlling the relay opening and closing module.

[0105] In one embodiment, a control method based on the intelligent lighting dimming control system is provided, the method comprising:

[0106] The central node obtains environmental information from the edge sensing node;

[0107] Perform fuzzy reasoning based on environmental information to make specific lighting control instructions;

[0108] The central node sends the light control instruction to the edge control node through the Internet of Things technology;

[0109] The edge control node adjusts the brightness of the smart lamp according to the received instructions, thereby realizing remote adaptive lighting control.

[0110] For the specific limitations of each step, please refer to the limitations of the intelligent lighting dimming control system above, which will not be repeated here.

[0111] The present invention is based on the Internet of Things and 4G communication technology, integrates cloud computing and visualization technology, and adopts discrete area control algorithm. It realizes the intelligent closed-loop control of port lighting fixtures from intelligent management platform-intelligent controller-intelligent LED fixtures, as follows:

[0112] 1. Use smart LED lamps to replace traditional high-pressure sodium lamps for industrial use, reducing energy consumption by about 30%;

[0113] 2. Integrate the light intensity collection sensor, GPS, motion detection sensor and lamp controller to realize adaptive adjustment of the intelligent LED lamp status according to the actual working conditions;

[0114] 3. Use the Internet of Things and 4G communication technology to realize real-time data interaction between the smart lighting controller and the central control server. The controller collects the status information of the lighting and sends it to the central control server. The central control server calculates and organizes the data and feeds it back to the user through data visualization technology.

[0115] After the port adopts the lighting system of this method and puts it into actual operation, it will automatically adjust the brightness level of the lighting fixtures in the port area according to the daily light intensity, GPS location information, and motion detection to achieve adaptive dimming control. In order to calculate the average energy saving rate of the lighting system, the energy consumption data of the lighting system for seven days was collected. The actual energy consumption and theoretical energy consumption collected are as follows: Figure 3 The average energy saving rate is 29.3%, indicating that the lighting control system has a significant energy-saving effect.

[0116] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent lighting dimming control system, characterized in that: The system includes a central control server, an intelligent lamp controller, a single lamp controller and a sensor node; The central control server is deployed on the network platform to monitor the operation of smart lamps, remotely control the brightness of smart lamps, push smart lamp faults, fault and power consumption statistics, and coordinate the operation of smart lamp controllers; The smart lamp controller, as a central node, is used to receive and analyze the instructions sent by the central control server, and send the analyzed information to each smart lamp, and is also used to integrate the working status information of the smart lamp and upload it to the central control server; The single lamp controller, as an edge control node, is mounted on the smart lamp and is used to receive control instructions sent by the smart lamp controller to adjust the operation of the smart lamp and also to collect statistics on the operation information of the smart lamp; The sensor node, as an edge sensing node, is used to collect environmental information data and send the data to the smart lamp controller.

2. The intelligent lighting dimming control system according to claim 1, characterized in that: The central control server communicates with the smart lamp controller through 4G technology; the smart lamp controller obtains the status and energy consumption information of the smart lamp from the smart lamp through the Internet of Things technology, and completes the action of controlling the status of the smart lamp.

3. The intelligent lighting dimming control system according to claim 1, characterized in that: There are multiple edge control nodes deployed at multiple points.

4. The intelligent lighting dimming control system according to claim 1, characterized in that: The edge sensing node includes a light intensity collection sensor, a GPS, a motion detection sensor and a first fault detection module, wherein the first fault detection module is used to monitor in real time whether the edge sensing node has a fault and issue an alarm prompt; The edge sensing node sends the information collected by the light intensity collection sensor, GPS, and motion detection sensor to the central node through the LoRa / 485 module; The edge sensing node implements: Initialize the hardware and operating system; Initialize the light acquisition sensor, GPS, motion detection sensor and LoRa / 485 module; After the LoRa / 485 module is initialized successfully, a communication thread between the edge sensing node and the central node is created. The communication thread passively reports the ambient light intensity, GPS location information, and motion detection information of the area based on the request sent by the central node.

5. The intelligent lighting dimming control system according to claim 1, characterized in that: The central node includes a central controller and a backup central controller. The backup central controller monitors the heartbeat information sent by the central controller in real time. When the central controller fails, it will actively replace the central controller to complete the control of the smart lamps, and after receiving the heartbeat of the central controller, it will automatically give up the control of the lighting dimming control system; The central node also includes a second fault detection module, which is used to monitor the working status of the smart lamp in real time.

6. The intelligent lighting dimming control system according to claim 5, characterized in that: The central node provides a human-computer interaction interface for realizing remote control and parameter setting of the intelligent lamps, and is also used to display the working information of the lighting system composed of the intelligent lamps.

7. The intelligent lighting dimming control system according to claim 6, characterized in that: The central node includes three threads: screen interaction thread, intelligent control thread and backup root node communication thread, which respectively realize human-computer interaction, lamp control and system status monitoring; In the intelligent control thread, the central node integrates and analyzes the collected ambient light intensity, GPS location information, motion detection information and time information, determines the control amount of the edge control node, and sends the control instructions to the relevant edge control node through the LoRa / 485 / PLC module; In the screen interaction thread, the central node performs specific tasks according to the control commands read from the screen to achieve human-computer interaction; In the backup root node communication thread, the central node continuously sends heartbeat information to the backup central controller. If the backup central controller does not receive heartbeat data for more than a preset period of time, it will determine that the central controller is faulty and actively take over the central controller to complete the lighting control work. After receiving the heartbeat of the central controller, the backup central controller will automatically give up control of the lighting dimming control system.

8. The intelligent lighting dimming control system according to claim 1, characterized in that: The edge control node implements: Initialize the Fal library for Flash reading and writing; Read device information parameters from Flash, including node address information of LoRa / 485 / PLC; Initialize the interface for controlling the brightness of smart lamps; Initialize the watchdog; Create a lamp status monitoring thread; Create energy consumption and fault detection threads; Create a controller terminal communication thread; Feed the dog periodically in the main loop.

9. The intelligent lighting dimming control system according to claim 1, characterized in that: The edge control node includes a communication module, an energy consumption monitoring module, a relay switch module, a dimming module, a power module and a control module; The power supply module includes an AC / DC power supply module and a DC / DC power supply module; wherein the AC / DC power supply module is used to provide a 12V working voltage for the relay switch module and the dimming module; the DC / DC power supply module is used to provide a 3V3 working voltage for the communication module, the energy consumption monitoring module, and the control module; The AC220V power input voltage passes through the energy consumption monitoring module, which collects single-phase AC power parameters and sends them to the main control module; The main control module is used to analyze the status information of the smart lamps and edge control nodes, and send the status information to the central node through the communication module; The edge control node receives the light control instruction output by the central node through the communication module, and sends the light control instruction to the main control module; The main control module outputs a PWM signal to control the dimming module to implement 0-10V / PWM dimming, and realizes the opening and closing of the intelligent lamp by controlling the relay opening and closing module.

10. The control method of the intelligent lighting dimming control system according to any one of claims 1 to 9, characterized in that: The method comprises: The central node obtains environmental information from the edge sensing node; Perform fuzzy reasoning based on environmental information to make specific lighting control instructions; The central node sends the light control instruction to the edge control node through the Internet of Things technology; The edge control node adjusts the brightness of the smart lamp according to the received instructions, thereby realizing remote adaptive lighting control.

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