Intelligent lighting dimming control system and method

Abstract

Disclosed in the present invention is an intelligent lighting dimming control system and method. The system comprises a central control server, an intelligent lamp controller, single-lamp controllers, and a sensor node. The central control server is used for monitoring operation of intelligent lamp devices, remotely controlling brightness of intelligent lamps, pushing intelligent lamp faults, performing statistics on faults and power consumption, and coordinating operation of the intelligent lamp controller. The intelligent lamp controller is used for receiving and parsing an instruction sent by the central control server, delivering parsed information to the intelligent lamps, and integrating working state information of the intelligent lamps and uploading the working state information to the central control server. The single-lamp controllers are used for receiving a control instruction sent by the intelligent lamp controller to adjust operation of the intelligent lamps, and performing statistics on working information of the intelligent lamps. The sensor node is used for collecting environmental information data and sending the data to the intelligent lamp controller. The present invention not only optimizes human resource allocation, but also improves the energy utilization efficiency, ensuring the safety of port area operation.

Description

A smart lighting dimming control system and method Technical Field

[0001] This invention belongs to the field of intelligent lighting control technology, specifically an intelligent lighting dimming control system and method. Background Technology

[0002] Domestic port operations operate 24 / 7, and the massive LED lighting system is crucial for ensuring safe nighttime operations at wharves and yards. Port lighting consumes approximately 10% of the total energy consumption of the port area, representing a significant energy drain. Current port lighting control methods primarily use a "time control + contactor" approach, which only activates and deactivates lights at pre-defined times. Regardless of the presence of ships, machinery, or personnel at night, the LED lights at wharves and yards remain on all night, wasting substantial amounts of electricity. Furthermore, during rainy days or inclement weather conditions such as sandstorms, the lighting system cannot be activated immediately. This traditional control method results in situations where lighting is unavailable during the day and unusable areas cannot be switched off at night, leading to inefficient and wasteful use of lighting equipment and preventing the equipment from reaching its optimal operating and maintenance condition. To address this issue, patent application number 201810112934.2, entitled "An Intelligent Dimming Control Method for a Lighting Device," discloses a lighting control method that automatically turns the lighting device on and off by pre-setting a time, or gradually dims or brightens the device according to the set time. However, this method lacks flexibility. Once the preset time is set, it may become unsuitable due to changes in the external environment if it is not updated in a timely manner. For example, if the weather suddenly turns cloudy, resulting in insufficient light, and the preset time has not yet arrived, customers will not be able to enjoy sufficient lighting. This method cannot adapt to dynamic environments. It relies on a fixed schedule to control lighting, but it does not take into account changes in actual lighting conditions. For example, during the day, even if the preset on-time has arrived, if the ambient light is already bright enough, no additional lighting is needed. This method lacks personalized settings. The lighting needs of the on-site working environment may vary, and a fixed dimming scheme may not meet the needs of everyone. Summary of the Invention

[0003] The purpose of this invention is to address the problems existing in the prior art by providing a method that can automatically adjust the lighting status of the port area according to environmental changes. This method can not only optimize the allocation of human resources but also improve energy efficiency and ensure the safety of port operations.

[0004] The technical solution to achieve the purpose of this invention is as follows: On the one hand, an intelligent lighting dimming control system is provided, the system including a central control server, an intelligent lighting controller, a single lamp controller and sensor nodes;

[0005] The central control server is deployed on the network platform and is used to monitor the operation of smart lighting equipment, remotely control the brightness of smart lighting, push faults of smart lighting, perform fault and power consumption statistics, and coordinate the operation of smart lighting controllers.

[0006] The intelligent lighting controller, as a central node, is used to receive and parse the instructions sent by the central control server, and to send the parsed information to each intelligent lighting fixture. It is also used to integrate the working status information of the intelligent lighting fixtures 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 commands sent by the smart lamp controller to adjust the operation of the smart lamp. It is also used to collect smart lamp operation information.

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

[0009] Furthermore, the central control server communicates with the smart lighting controller via 4G technology; the smart lighting controller obtains the status and energy consumption information of the smart lighting fixtures from the smart lighting fixtures via Internet of Things (IoT) technology, and performs actions to control the status of the smart lighting fixtures.

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

[0011] Furthermore, the edge sensing node includes an illuminance acquisition sensor, GPS, a motion detection sensor, and a first fault detection module. The first fault detection module is used to monitor whether the edge sensing node malfunctions in real time and issue an alarm. The edge sensing node sends the information collected by the illuminance acquisition sensor, GPS, and motion detection sensor to the central node via a LoRa / 485 module.

[0012] The edge-aware node implements:

[0013] Initialize the hardware and operating system;

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

[0015] After the LoRa / 485 module is successfully initialized, a communication thread is created between the edge sensing node and the central node. This communication thread passively reports the ambient light intensity, GPS location information, and motion detection information of the area it is in, based on the request issued 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, it will take over the control of the smart lights and automatically relinquish control of the lighting dimming control system after receiving the heartbeat from the central controller.

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

[0018] Furthermore, the central node provides a human-machine interface for remote control and parameter setting of smart lamps, and also for displaying the working information of the lighting system composed of smart lamps.

[0019] Furthermore, the central node includes three threads: a screen interaction thread, an intelligent control thread, and a backup root node communication thread, which respectively realize human-computer interaction, lighting 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 to determine the control amount for the edge control nodes, and sends the control commands to the relevant edge control nodes through the LoRa / 485 / PLC module;

[0021] In the screen interaction thread, the central node executes specific tasks based on the control commands read from the screen, thus realizing human-computer interaction;

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

[0023] Furthermore, the edge control node implements:

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

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

[0026] Initialize the interface used to control the brightness of smart lights;

[0027] Initialize the watchdog timer;

[0028] Create a lighting status monitoring thread;

[0029] Create threads for energy consumption and fault detection;

[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 switching module, a dimming module, a power supply 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 operating voltage for the relay switching module and the dimming module; and the DC / DC power supply module is used to provide a 3V3 operating 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 smart lighting fixtures and edge control nodes, and send it to the central node through the communication module;

[0036] 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.

[0037] The main control module outputs a PWM signal to control the dimming module to achieve 0-10V / PWM dimming, and controls the relay switching module to achieve the on / off switching of the smart lamp.

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

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

[0040] Based on environmental information, fuzzy reasoning is used to determine specific lighting control commands;

[0041] The central node sends the light control command to the edge control node via Internet of Things (IoT) technology;

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

[0043] Compared with the prior art, the significant advantages of this invention are:

[0044] The system employs a sensor-based intelligent control system, combining GPS sunrise and sunset time calculations, light intensity detection, and motion detection to automatically adjust the switching and brightness of lighting. This system not only reduces labor costs but also allows for flexible adjustments based on actual lighting conditions and port operation needs, thereby improving energy efficiency and ensuring the safe operation of the port area.

[0045] This 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] This invention can significantly enhance energy-saving effects by reducing unnecessary power consumption through intelligent dimming control, thereby achieving the goal of energy conservation and emission reduction.

[0047] This invention improves operational safety by ensuring sufficient lighting in the port area under different time periods and lighting conditions, thereby enhancing the port's safety level. Furthermore, this invention is easy to maintain, featuring remote monitoring and self-diagnostic capabilities, making maintenance simpler and more efficient.

[0048] This invention effectively improves the user experience, allowing users to easily manage the lighting system through mobile devices or other user interfaces, thus enhancing ease of use.

[0049] The present invention will now be described in further detail with reference to the accompanying drawings. Attached Figure Description

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

[0051] Figure 2 is a block diagram of the overall functions of the central control server in one embodiment.

[0052] Figure 3 shows the actual and theoretical lighting energy consumption data of a port in one embodiment.

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

[0054] Figure 5 is a flowchart of the software implementation of the edge-aware node in one embodiment.

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

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

[0057] Figure 8 is a block diagram of the main control board of the central node in one embodiment.

[0058] Figure 9 is a flowchart of the edge control node software implementation in one embodiment.

[0059] Figure 10 is a block diagram of the edge control node in one embodiment. Detailed Implementation

[0060] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0061] In one embodiment, referring to Figure 1, an intelligent lighting dimming control system is provided, the system including a central control server, an intelligent luminaire controller, a single lamp controller, and sensor nodes;

[0062] The central control server is deployed on the network platform and is used to monitor the operation of smart lighting equipment, remotely control the brightness of smart lighting, push faults of smart lighting, perform fault and power consumption statistics, and coordinate the operation of smart lighting controllers.

[0063] The intelligent lighting controller, as a central node, is used to receive and parse the instructions sent by the central control server, and to send the parsed information to each intelligent lighting fixture. It is also used to integrate the working status information of the intelligent lighting fixtures (real-time status, power, fault information, etc.) 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 commands sent by the smart lamp controller to adjust the operation of the smart lamp. It is also used to collect smart lamp operation information.

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

[0066] Here, this method is functionally divided into two levels: a central node and edge nodes. Each level of the system consists of a certain number of controllers. Information from the edge nodes is aggregated to the central node for processing via wireless communication technology. The central node acquires ambient light intensity, GPS location information, motion detection, etc., from the edge sensing nodes, and makes specific lighting control commands based on fuzzy inference of the ring information. The central node controls the edge control nodes to achieve adaptive lighting control.

[0067] Furthermore, in one embodiment, the central control server communicates with the smart lighting controller via 4G technology; the smart lighting controller obtains the status and energy consumption information of the smart lighting fixtures from the smart lighting fixtures via Internet of Things (LoRa, 485, PLC) technologies, and performs actions to control the status of the smart lighting fixtures. The overall functional modules of the central control server include: lighting control, group settings, preset settings, fault settings, statistics, asset management, and system management; top-level system functions include (user personal information, password modification, and 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 a B / S architecture and is developed using the Spring MVC + Mybatis pattern, as shown in Figure 4. This enables intelligent management and control of large lighting fixtures within the port area. It features adaptive dimming, real-time status display, big data energy statistics, equipment asset management, and intelligent control. The system boasts strong security, high availability, low latency, and high stability, meeting the enterprise's needs for intelligent management of lighting equipment while significantly saving energy and reducing operating costs.

[0069] Furthermore, in one embodiment, the edge sensing node includes an illuminance acquisition sensor, a GPS, a motion detection sensor, and a first fault detection module. The first fault detection module is used to monitor whether the edge sensing node malfunctions in real time and issue an alarm. The edge sensing node sends the information collected by the illuminance acquisition sensor, GPS, and motion detection sensor to the central node via a LoRa / 485 module.

[0070] Referring to Figure 5, the edge-aware node achieves the following:

[0071] Initialize the hardware and operating system;

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

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

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

[0075] Here, edge sensing nodes collect information about the work site through sensors and report this information to the central node using IoT technologies (LoRa, RS-485, PLC). Based on the current work site information, the central node performs fuzzy processing and knowledge base reasoning to determine specific lighting control actions. When lighting control is needed, the central node sends control commands to the edge control nodes via IoT technologies (LoRa, RS-485, PLC). The edge control nodes adjust the brightness of the lighting fixtures according to the received commands, enabling remote dimming of the lighting system.

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

[0077] Deploy edge sensing nodes at multiple points;

[0078] To avoid malfunctions in the lighting system due to the failure of a single node.

[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 take the initiative to replace the central controller to complete the control of the smart lamps. 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 shutting down due to a failure of the central controller.

[0081] By combining these two strategies, the overall stability of the lighting system is significantly improved, ensuring its normal operation even under extreme conditions. To reduce the impact of differences between port areas on energy efficiency, the system employs a discrete ambient illuminance control algorithm. This algorithm further enhances the overall energy efficiency of the lighting system by setting different illuminance thresholds for different areas.

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

[0083] Furthermore, in one embodiment, the central node provides a human-machine interface for remote control and parameter setting of the smart lamps, and also for displaying the working information (such as energy consumption information) of the lighting system composed of the smart lamps.

[0084] Furthermore, in one embodiment, the central node includes three threads: a screen interaction thread, an intelligent control thread, and a backup root node communication thread, which respectively realize human-computer interaction, lighting 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 to determine the control amount for the edge control nodes, and sends the control commands to the relevant edge control nodes through the LoRa / 485 / PLC module;

[0086] In the screen interaction thread, the central node executes specific tasks based on the control commands read from the screen, thus realizing human-computer interaction;

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

[0088] Here, referring to Figure 7, the central node first initializes the RT-Thread operating system, and then initializes modules such as the serial port screen and LoRa / 485 / PLC communication. Based on the successful initialization of the LoRa / 485 / PLC devices, the system creates three threads: a screen interaction thread, an intelligent control thread, and a backup root node communication thread. These three threads in the central control node software implement functions such as human-machine interaction, lighting control, and system status monitoring. Furthermore, when problems occur during system operation, error messages will be promptly displayed on the screen.

[0089] Preferably, in some embodiments, the central node hardware controller motherboard consists of an ARM core board and an interface board. The interface board has mounting interfaces for LoRa modules, 4G modules, GPS modules, Ethernet, USB, serial ports, digital inputs, and power modules. The main control board provides logic control and data interaction interfaces with other hardware boards for communication with other devices. Each functional module of the main control board is relatively independent, and the main control board's block diagram is shown in Figure 8.

[0090] Furthermore, in one embodiment, the edge control node is the main body of the lighting control, possessing functions such as responding to lighting control commands and calculating lighting energy consumption. Referring to Figure 9, its software implementation includes:

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

[0092] Read device information parameters from Flash, including LoRa / 485 / PLC node addresses, etc.

[0093] Initialize the interface used to control the brightness of smart lights;

[0094] Initialize the watchdog timer;

[0095] Create a lighting status monitoring thread;

[0096] Create threads for energy consumption and fault detection;

[0097] Create a controller terminal communication thread;

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

[0099] Preferably, in some embodiments, referring to FIG10, the edge control node includes a communication module, an energy consumption monitoring module, a relay switching module, a dimming module, a power supply 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 operating voltage for the relay switching module and the dimming module; and the DC / DC power supply module is used to provide a 3V3 operating 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 via serial port.

[0102] The main control module is used to analyze the status information of smart lighting fixtures and edge control nodes, and send it 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 achieve 0-10V / PWM dimming, and controls the relay switching module to achieve the on / off switching of the smart lamp.

[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 nodes;

[0107] Based on environmental information, fuzzy reasoning is used to determine specific lighting control commands;

[0108] The central node sends the light control command to the edge control node via Internet of Things (IoT) technology;

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

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

[0111] This invention, based on IoT and 4G communication technologies, integrates cloud computing and visualization technologies, and employs a discrete area control algorithm. It achieves intelligent closed-loop control of port lighting fixtures from the intelligent management platform to the intelligent controller and finally to the intelligent LED lights, as detailed below:

[0112] 1. Replacing traditional high-pressure sodium lamps with intelligent LED lights in industrial lighting reduces energy consumption by approximately 30%.

[0113] 2. Integrate illuminance acquisition sensors, GPS, motion detection sensors, and lighting controllers to achieve adaptive adjustment of intelligent LED lighting status based on actual operating conditions;

[0114] 3. By adopting IoT and 4G communication technologies, the smart lighting controller and the central control server can interact in real time. The controller collects the status information of the lighting fixtures and sends it to the central control server. After the central control server calculates and organizes the data, it feeds it back to the user through data visualization technology.

[0115] After the port's lighting system using this method is put into actual operation, it will automatically adjust the brightness level of the lighting fixtures in the area based on daily light intensity, GPS location information, and motion detection, achieving adaptive dimming control. To calculate the average energy saving rate of the lighting system, energy consumption data for seven days of operation were collected. The actual and theoretical energy consumption data are shown in Figure 3. The average energy saving rate is 29.3%, indicating that the lighting control system has a significant energy-saving effect.

[0116] The foregoing has shown and described 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 to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention without departing from its spirit and scope should be included within 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, intelligent lighting controllers, individual lamp controllers, and sensor nodes; The central control server is deployed on the network platform and is used to monitor the operation of smart lighting equipment, remotely control the brightness of smart lighting, push faults of smart lighting, perform fault and power consumption statistics, and coordinate the operation of smart lighting controllers. The intelligent lighting controller, as a central node, is used to receive and parse the instructions sent by the central control server, and to send the parsed information to each intelligent lighting fixture. It is also used to integrate the working status information of the intelligent lighting fixtures 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 commands sent by the smart lamp controller to adjust the operation of the smart lamp. It is also used to collect smart lamp operation information. The sensor node, as an edge sensing node, is used to collect environmental information data and send the data to the intelligent lighting controller.

2. The intelligent lighting dimming control system according to claim 1, characterized in that, The central control server communicates with the smart lighting controller via 4G technology; the smart lighting controller obtains the status and energy consumption information of the smart lighting fixtures from the smart lighting fixtures via Internet of Things (IoT) technology, and performs actions to control the status of the smart lighting fixtures.

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

4. The intelligent lighting dimming control system according to claim 1, characterized in that, The edge sensing node includes an illuminance acquisition sensor, a GPS, a motion detection sensor, and a first fault detection module. The first fault detection module is used to monitor whether the edge sensing node malfunctions in real time and to issue an alarm. The edge sensing node transmits the information collected by the illuminance sensor, GPS, and motion detection sensor to the central node via the LoRa / 485 module. The edge-aware node implements: Initialize the hardware and operating system; Initialize the illuminance sensor, GPS, motion detection sensor, and LoRa / 485 module; After the LoRa / 485 module is successfully initialized, a communication thread is created between the edge sensing node and the central node. This communication thread passively reports the ambient light intensity, GPS location information, and motion detection information of the area it is in, based on the request issued 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 take over the control of the smart lights and automatically relinquish control of the lighting dimming control system after receiving the heartbeat from the central controller. The central node also includes a second fault detection module, which is used to monitor the working status of the smart lighting fixtures in real time.

6. The intelligent lighting dimming control system according to claim 5, characterized in that, The central node provides a human-machine interface for remote control and parameter setting of smart lamps, and also for displaying the working information of the lighting system composed of smart lamps.

7. The intelligent lighting dimming control system according to claim 6, characterized in that, The central node includes three threads: a screen interaction thread, an intelligent control thread, and a backup root node communication thread, which respectively realize human-computer interaction, lighting 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 to determine the control amount for the edge control nodes, and sends the control commands to the relevant edge control nodes through the LoRa / 485 / PLC module; In the screen interaction thread, the central node executes specific tasks based on the control commands read from the screen, thus realizing human-computer interaction; In the standby root node communication thread, the central node continuously sends heartbeat information to the standby central controller. If the standby central controller does not receive heartbeat data for a preset period of time, it will determine that the central controller is faulty and take over the lighting control work. After receiving the heartbeat from the central controller, the standby central controller will automatically relinquish 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 used for Flash reading and writing; Read device information parameters from Flash, including node address information for LoRa / 485 / PLC; Initialize the interface used to control the brightness of smart lights; Initialize the watchdog timer; Create a lighting status monitoring thread; Create a thread for energy consumption and fault detection; 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 switching module, a dimming module, a power supply 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 operating voltage for the relay switching module and the dimming module; and the DC / DC power supply module is used to provide a 3V3 operating 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 smart lighting fixtures and edge control nodes, and send it to the central node through the communication module; 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. The main control module outputs a PWM signal to control the dimming module to achieve 0-10V / PWM dimming, and controls the relay switching module to achieve the on / off switching of the smart lamp.

10. A control method based on the intelligent lighting dimming control system according to any one of claims 1 to 9, characterized in that, The method includes: The central node obtains environmental information from the edge sensing nodes; Based on environmental information, fuzzy reasoning is used to determine specific lighting control commands; The central node sends the light control command to the edge control node via Internet of Things (IoT) technology; The edge control node adjusts the brightness of the smart lamps according to the received instructions, thereby realizing remote adaptive lighting control.

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