Power plant intelligent lighting control method, system and device based on OFDM carrier and medium

Abstract

The invention relates to the technical field of electric lighting, in particular to a power plant intelligent lighting control method, system and device based on OFDM carrier waves and a medium. Acquiring lighting parameters of the power plant and constructing a model, performing intelligent grouping management on different areas of the plant, and setting a lighting control strategy; an illumination system communication network is established by adopting an OFDM power line carrier technology, communication connection between the integrated controller and the lamp is realized, and 0-100% power stepless dimming control of the lamp is realized through a PWM control technology; based on the real-time environment data and the preset scene, the illumination brightness of each area is automatically adjusted, the running state of the lamp is monitored in real time, and the fault lamp is diagnosed and alarmed; and finally, performing energy consumption statistics and operation state analysis to form a lighting system management report. The problems of unstable communication, incapability of accurately dimming, lack of remote control and intelligent management and the like in a traditional power plant lighting system are solved, the energy utilization efficiency and the system reliability are remarkably improved, and a powerful guarantee is provided for safe production of a power plant.

Description

Technical Field

[0001] The present invention relates to the technical field of electric lighting, and in particular to an OFDM carrier-based intelligent lighting control method, system, equipment and medium for a power plant. Background Art

[0002] With the development of the energy industry, power plants, as important energy production bases, face numerous challenges with their lighting systems. Traditional power plant lighting equipment suffers from long operating times and aging protective systems. Furthermore, traditional light sources such as high-pressure sodium lamps, high-pressure mercury lamps, and metal halide lamps not only consume a lot of energy but also suffer from cold start issues, requiring several minutes of delay before restarting after the lights are turned off. Furthermore, while some work areas can be partially illuminated through wiring, this approach requires manual intervention, can lead to uneven illumination, and has limited adjustment capabilities.

[0003] Power plants have numerous and widely distributed lighting systems. Most existing lighting systems rely solely on local control, lacking remote operation or centralized management, making them extremely inconvenient. While wiring can partially turn on lights in certain areas to achieve energy savings, this requires manual intervention, resulting in uneven illumination across the site and limited adjustment capabilities. Furthermore, the existing system lacks the ability to adjust the time and power on / off times based on actual conditions, nor can it accurately adjust brightness, hindering the goal of achieving secondary energy savings.

[0004] Furthermore, the power plant lacks unified lighting equipment management standards and specifications across various areas (main building, boiler room, coal handling, control room, etc.). Even where control systems exist, they often form information silos. Management methods are limited, and lighting failures can only be detected through manual inspections, making timely response and statistics difficult. More seriously, the lighting system and other systems (such as the security system) cannot operate synchronously. Any lighting equipment problems can severely impact the plant's normal production operations and the personal and property safety of employees. Furthermore, the lighting system lacks synchronization with other systems (such as the security system), lacks real-time monitoring capabilities, and fault response is slow.

[0005] In response to the above problems, there is a need for a lighting system that can adapt to the complex electromagnetic environment of power plants and realize intelligent control. The present invention "A method, system, device and medium for intelligent lighting control in power plants based on OFDM carrier" is intended to solve these problems. Among them, OFDM (Orthogonal Frequency Division Multiplexing) is a multi-carrier modulation technology. Its core idea is to divide the channel into multiple orthogonal sub-channels in the frequency domain, use one sub-carrier for modulation on each sub-channel, and transmit each sub-carrier in parallel. Compared with single-frequency or frequency-hopping carriers, OFDM technology has stronger anti-interference ability and more stable communication effect in complex interference environments such as power plants, and is very suitable as the communication basis for intelligent lighting systems in power plants. Summary of the Invention

[0006] In view of the problems existing in the prior art, the present invention is proposed.

[0007] Therefore, the present invention aims to address the technical challenges of precise dimming, remote control, and intelligent management in power plant lighting systems. Specifically, for the complex and often high-interference environments within power plants, this paper aims to develop highly reliable communication technologies suitable for these complex industrial environments. This technology enables intelligent control of lighting equipment, enabling lamps to output power between 0% and 100% as needed, while meeting illumination requirements while achieving energy conservation and emission reductions, improving automation and management efficiency, and ensuring safe production in power plants.

[0008] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0009] In a first aspect, an embodiment of the present invention provides an OFDM carrier-based intelligent lighting control method for a power plant, comprising: obtaining power plant lighting parameters and constructing a power plant lighting system model; based on the power plant lighting system model, intelligently grouping and managing different areas of the plant and setting lighting control strategies for each area;

[0010] The OFDM power carrier technology is used to establish a lighting system communication network to achieve communication connection between the centralized controller and the lamps. The centralized controller sends control signals to the lamps to achieve stepless dimming control of the lamps from 0% to 100% power.

[0011] Based on real-time environmental data and preset scenarios, it automatically adjusts the lighting brightness of each area, monitors the operating status of lamps in real time, and diagnoses and issues alarms for faulty lamps.

[0012] Conduct energy consumption statistics and operation status analysis to generate lighting system management reports.

[0013] As a preferred solution of the OFDM carrier-based intelligent lighting control method for power plants described in the present invention, based on the power plant lighting system model, different areas of the plant are intelligently grouped and managed, and lighting control strategies for each area are set, including:

[0014] Divide lighting areas according to the functional areas of the power plant, including the main plant area, boiler room area and coal transportation area;

[0015] Install intelligent controllers in each area and group the lamps in each area according to their functions and spatial locations;

[0016] According to the lighting requirements of different areas, set corresponding lighting control strategies, including basic lighting strategies and special scene lighting strategies.

[0017] As a preferred solution of the OFDM carrier-based intelligent lighting control method for power plants described in the present invention, the OFDM power carrier technology is used to establish a lighting system communication network to achieve communication connection between the centralized controller and the lamps, including:

[0018] Set OFDM carrier parameters, including the number of subcarriers, modulation method, frequency range and signal bandwidth;

[0019] Establish a peer-to-peer network communication protocol to realize data interaction between the internal communication network of the lighting system and the upper control system.

[0020] As a preferred solution of the OFDM carrier-based intelligent lighting control method for power plants of the present invention, wherein: the centralized controller sends a control signal to the lamp to achieve stepless dimming control of the lamp power from 0% to 100%, including:

[0021] Realize stepless dimming of LED lamps based on PWM control method;

[0022] By adjusting the duty cycle of the PWM signal, the driving current of the lamp is controlled to achieve 0% to 100% brightness output;

[0023] Adopt specific driver interface standards to connect with different types of LED lamps to ensure stable transmission of dimming control signals.

[0024] As a preferred solution of the OFDM carrier-based intelligent lighting control method for power plants described in the present invention, the automatic adjustment of the lighting brightness of each area based on real-time environmental data and preset scenarios includes:

[0025] Store various lighting scene parameters, including regular working scenes, maintenance scenes, and emergency scenes;

[0026] Automatically select appropriate lighting scenarios based on environmental monitoring data, work shifts, and operational requirements;

[0027] Intelligently adjust the brightness of lamps in each area to achieve dynamic optimization of the lighting environment.

[0028] As a preferred solution of the OFDM carrier-based intelligent lighting control method for power plants described in the present invention, the real-time monitoring of the operating status of lamps and the diagnosis and alarm of faulty lamps include:

[0029] Monitor the operating parameters of current and voltage of lamps;

[0030] Based on the preset fault judgment rules, analyze the operating status of the lamp and diagnose potential faults;

[0031] When a lamp failure is detected, an alarm message is issued through the control system interface and the failure information is recorded.

[0032] As a preferred solution of the OFDM carrier-based intelligent lighting control method for power plants described in the present invention, the energy consumption statistics and operating status analysis to form a lighting system management report include:

[0033] Collect electricity consumption data of lamps in each area;

[0034] Analyze and calculate the collected data to count the energy consumption in different time periods and areas;

[0035] Generate lighting system operation status report, including lamp operation parameters, energy consumption data, and fault records.

[0036] In a second aspect, embodiments of the present invention provide an OFDM-based intelligent lighting control system for power plants, including a data acquisition and model building module for acquiring power plant lighting parameters and building a power plant lighting system model. Based on the power plant lighting system model, the module is used to intelligently group and manage different areas of the plant and set lighting control strategies for each area.

[0037] A stepless dimming control module is used to establish a lighting system communication network using OFDM power carrier technology to achieve communication connection between the centralized controller and the lamps. It is used to send control signals to the lamps through the centralized controller to achieve stepless dimming control of the lamps from 0% to 100% power;

[0038] The fault monitoring and diagnosis module is used to automatically adjust the lighting brightness of each area based on real-time environmental data and preset scenarios, monitor the operating status of lamps in real time, and diagnose and alarm faulty lamps;

[0039] The energy consumption statistics analysis module is used to perform energy consumption statistics and operation status analysis to form lighting system management reports.

[0040] In a third aspect, an embodiment of the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program instructions are executed by the processor, the steps of the OFDM carrier-based power plant intelligent lighting control method as described in the first aspect of the present invention are implemented.

[0041] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program instructions are executed by a processor, the steps of the OFDM carrier-based power plant intelligent lighting control method as described in the first aspect of the present invention are implemented.

[0042] The present invention addresses several technical challenges inherent in traditional power plant lighting systems by establishing a comprehensive intelligent lighting control system based on OFDM carrier technology. By acquiring power plant lighting parameters and building a system model, it enables scientific grouping and differentiated management of lamps in different areas. This allows precise control of lighting in each functional area based on actual needs, avoiding the energy waste and uneven lighting caused by the traditional "one-size-fits-all" management approach.

[0043] The OFDM power carrier technology is used to establish a lighting system communication network. Compared with single-frequency or frequency-hopping carrier technology, it can send signals in broadcast form on multiple subcarrier frequencies at the same time. Even if some subcarriers are interfered with, most subcarriers can still ensure normal communication. This feature is particularly suitable for the complex and interference-rich environment within power plants. It effectively solves the problems of poor stability and short transmission distance of traditional communication methods in complex electromagnetic environments, and achieves reliable transmission of up to 2,000 meters, far exceeding the transmission distance of about 100 meters of single-frequency carrier.

[0044] PWM control technology enables stepless dimming of lamps from 0% to 100%. Compared to the limitations of traditional lighting systems that can only be controlled on and off or in groups, this greatly improves the flexibility and energy efficiency of the lighting system, allowing lamps to precisely output different power levels according to actual needs, meeting the lighting requirements of different scenarios. This precise dimming capability allows the system to dynamically adjust the lighting brightness of each area according to actual environmental needs, meeting illumination requirements while maximizing energy savings.

[0045] Based on real-time monitoring and intelligent diagnostic technology, the system automatically detects lighting faults and issues alarms, fundamentally changing the traditional passive fault detection model that relied on manual inspections. This significantly shortens fault response time, improving system reliability and maintenance efficiency. Furthermore, management reports generated through energy consumption statistics and operational status analysis provide data support for ongoing lighting system optimization and management decisions, transforming the lighting system from "passive control" to "active optimization."

[0046] This invention not only solves the problems of unstable communication, inability to accurately adjust light, lack of remote control and intelligent management in traditional power plant lighting systems from a technical perspective, but also realizes energy saving, intelligence and standardization of lighting systems from a management perspective, providing strong guarantees for safe production in power plants. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0048] Figure 1 The figure is a flow chart of the intelligent lighting control method of a power plant based on OFDM carrier;

[0049] Figure 2 This is a computer equipment diagram of an OFDM carrier-based power plant intelligent lighting control method;

[0050] Figure 3 Schematic diagram of the lighting system of the power plant intelligent lighting control method based on OFDM carrier;

[0051] Figure 4 This is a comparison diagram of the intelligent lighting control method for power plants based on OFDM carriers, with the operating unit on the left at 60% brightness and the shutdown unit on the right at 30% brightness;

[0052] Figure 5 This is a diagram showing the 15% brightness effect of the boiler room using the OFDM carrier-based intelligent lighting control method for power plants. DETAILED DESCRIPTION

[0053] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0054] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0055] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it constitute a separate or selective embodiment that is mutually exclusive with other embodiments.

[0056] Example 1

[0057] Reference Figures 1 and 2 , which is the first embodiment of the present invention, provides an OFDM carrier-based intelligent lighting control method for a power plant, comprising:

[0058] S100: Obtain power plant lighting parameters and build a power plant lighting system model. Based on the power plant lighting system model, intelligent group management is performed on different areas of the plant, and lighting control strategies are set for each area.

[0059] S200: Uses OFDM power carrier technology to establish a lighting system communication network, enabling communication between the centralized controller and lamps. The centralized controller sends control signals to the lamps, achieving stepless dimming control of the lamps from 0% to 100% power.

[0060] S300: Based on real-time environmental data and preset scenarios, it automatically adjusts the lighting brightness in each area, monitors the operating status of lamps in real time, and diagnoses and issues alarms for faulty lamps.

[0061] S400: Conduct energy consumption statistics and operation status analysis to generate lighting system management reports.

[0062] It should be noted that power plant environments are unique, presenting numerous challenges for their lighting systems. Power plants are characterized by concentrated equipment and numerous cables running in cable trays and trenches. Interference sources are complex and intense, making traditional communication methods difficult to maintain stable operation. Traditional lighting equipment suffers from aging protective systems due to long-term operation. Furthermore, traditional light sources such as high-pressure sodium and high-pressure mercury lamps consume significant energy and suffer from cold-start issues. Furthermore, traditional power plant lighting systems are primarily controlled locally, preventing remote, unified scheduling and management. This creates information silos between regions and leads to inefficient management. While partial lighting can be achieved in some work areas through wiring to save energy, this approach requires manual intervention, can lead to uneven illumination, and has limited adjustment capabilities. More importantly, traditional lighting systems cannot synchronize with other systems (such as security systems), resulting in slow fault response and difficulty in timely detection and resolution, posing a threat to power plant production and personnel safety.

[0063] Therefore, through the above steps S100-S400, the present invention constructs a complete intelligent lighting control solution for power plants based on OFDM carrier technology. This solution first obtains power plant lighting parameters and constructs a system model, enabling scientific grouping and differentiated management of lamps in different areas. Second, it uses OFDM power carrier technology to establish a stable communication network, overcoming the strong interference problem in the power plant environment and ensuring the reliable transmission of control signals. PWM control technology enables stepless dimming of lamps from 0% to 100%, meeting the lighting needs of different scenarios while significantly improving energy efficiency. Third, it automatically adjusts lighting brightness based on real-time environmental data and preset scenarios, monitors lamp operating status, and diagnoses faults, ensuring the reliable operation of the lighting system. Finally, through energy consumption statistics and operating status analysis, management reports are generated to provide data support for the optimized management of the lighting system. This overall solution not only solves the problems of unstable communication, inaccurate dimming, and lack of remote control and intelligent management in traditional power plant lighting systems, but also significantly improves energy efficiency and system reliability, providing a strong guarantee for safe production in power plants.

[0064] Example 2

[0065] Reference Figure 2 - Figure 5 , which is the second embodiment of the present invention, provides an OFDM carrier-based intelligent lighting control method for a power plant based on the above embodiment.

[0066] In the embodiment of the present application, in step S100, power plant lighting parameters are obtained and a power plant lighting system model is constructed. Based on the power plant lighting system model, different areas of the plant are intelligently grouped and managed, and lighting control strategies for each area are set, including the following steps A1-A2:

[0067] A1: Based on the power plant lighting system model, different areas of the plant are intelligently grouped and managed, and lighting control strategies for each area are set, including:

[0068] Divide lighting areas according to the functional areas of the power plant, including the main plant area, boiler room area and coal transportation area;

[0069] Install intelligent controllers in each area and group the lamps in each area according to their functions and spatial locations;

[0070] Specifically, in A1, when the lighting areas are divided according to the functional areas of the power plant, the main plant area, as the core area of ​​the power plant, has a large number of equipment and open space, and the operating personnel need to inspect and operate the equipment at all times, which places high demands on the stability, flexibility and energy efficiency of the lighting. Therefore, when designing the lighting for the main plant area, high-brightness, long-life LED mining lamps are selected. The lamp power and installation location are determined based on the height and layout of the plant to ensure that the overall lighting has no blind spots and meets the illumination requirements specified in the "Architectural Lighting Design Standard". At the same time, the main plant is divided into different areas according to function, such as the main plant of Unit 1 and the main plant of Unit 2, and a special lighting strategy is set in the 13.7-meter area, that is, it is lit at night and maintained at 60% brightness, and turned off during the day, while other areas maintain 60% brightness.

[0071] The boiler room environment is harsh, with high temperatures, dust, and corrosive gases, placing strict demands on the protective performance of lighting equipment. Therefore, when designing the boiler room lighting, LED explosion-proof lamps with a high protection level (IP65 and above) are used. They have excellent dustproof, waterproof, and corrosion-resistant properties, can adapt to the complex environment of the boiler room, and ensure stable and reliable lighting. The boiler room is divided into Boiler Room 1 and Boiler Room 2, and a group control strategy is adopted. For example, the 0-meter area of ​​the boiler room needs to be always bright, while the area above 0 meters to the top needs to be lit at night, and the brightness is automatically adjusted according to the time, maintaining 60% brightness in the first half of the night, reducing it to 40% brightness in the second half of the night, and extinguishing it during the day.

[0072] Coal handling areas are typically spread over a wide area, encompassing coal yards, coal handling corridors, and coal crushing rooms. These environments are characterized by high dust content, making lighting equipment susceptible to contamination and wear. When designing lighting for coal handling areas, dust-proof and explosion-proof LED lamps are used, featuring excellent heat dissipation and a sealed structure to ensure stable operation in dusty environments. At the same time, differentiated lighting strategies are implemented based on the lighting needs of different work areas. For example, high-mast lamps are used in the coal yard area for large-scale illumination, with brightness controlled between 30% and 50%. Explosion-proof LED light strips are used in coal handling corridors, maintaining a brightness of 40% at night and reducing it to 20% or completely off during the day. The coal crushing room requires frequent maintenance, so the lighting fixtures are maintained at 60% brightness year-round, adjustable to 100% for maintenance.

[0073] In A1, when installing intelligent controllers in each area and configuring them in groups, the first step is to determine the installation location. Intelligent controllers are typically installed in the electrical control room or near the lighting distribution box for easy access to power and the network. The controllers utilize a modular design, allowing one controller to manage multiple groups of lamps. Typically, one or two controllers are deployed in each functional area to ensure control accuracy and communication stability.

[0074] In terms of group configuration, the division is mainly based on spatial location and usage function. Spatial location grouping is to group lamps in the same physical space to facilitate overall control, such as setting the lighting fixtures on the 0-meter platform, 6-meter platform, and 13.7-meter platform of the main factory building into different groups. Functional grouping is based on lighting purpose, such as dividing normal lighting, emergency lighting, and indicator lighting into different groups to enable targeted control in different situations. In addition, virtual grouping can be established to set lamps distributed in different physical locations but requiring simultaneous control into a logical group, such as maintenance channel lighting group, emergency evacuation lighting group, etc.

[0075] In an optional embodiment, the power plant lighting system model constructed in step S100 can also utilize 3D digital modeling technology to digitally map the power plant's physical space, equipment layout, and lighting system, creating a virtual power plant space. By marking parameters such as lamp location, type, and power within the 3D model, an intuitive lighting system layout diagram is generated, facilitating lighting effect simulation and optimized design. The digital model can also be connected to an intelligent control system in real time, enabling visual monitoring and operation of lighting status.

[0076] A2: According to the lighting requirements of different areas, set corresponding lighting control strategies, including basic lighting strategies and special scene lighting strategies.

[0077] It should be noted that when setting the lighting control strategy in A2, the basic lighting strategy mainly includes the following aspects: time control strategy, which automatically adjusts the lighting brightness according to the time period, such as using different brightness settings for different time periods such as daytime, evening, and late at night; location-related strategy, which sets the default brightness according to regional characteristics and usage needs, such as maintaining a high illumination in the main channels and adjusting the equipment area according to the operating status; energy consumption optimization strategy, which reduces the lighting brightness in non-essential areas as much as possible while meeting the minimum illumination requirements to achieve energy-saving goals.

[0078] The lighting strategies for special scenarios mainly include: maintenance scenarios. When there is a need for equipment maintenance, the lighting in the relevant area is automatically adjusted to 100% brightness to ensure operational safety and accuracy; emergency scenarios. In emergency situations such as fire and power outages, the emergency lighting and evacuation indicator lights maintain maximum brightness, and other non-critical lighting is automatically turned off to save emergency power; linkage scenarios are linked with the security system. When the security system detects an abnormal situation, the lighting in the corresponding area is automatically turned on or brightened to assist the surveillance camera in obtaining clear images.

[0079] For example, the basic lighting strategy for the main plant area can be set as follows: During the daytime (8:00-17:00), operating equipment areas maintain 40% brightness, and non-operating areas maintain 20% brightness or off; at night (17:00-8:00), operating equipment areas maintain 60% brightness, inspection corridors maintain 40% brightness, and other areas maintain 30% brightness. In maintenance scenarios, the lighting around maintenance equipment is adjusted to 100%, adjacent areas to 80%, and other areas maintain the basic brightness unchanged.

[0080] In the embodiment of the present application, in step S200, OFDM power line carrier technology is used to establish a lighting system communication network to achieve communication connection between the centralized controller and the lamps. The centralized controller sends control signals to the lamps to achieve stepless dimming control of the lamps from 0% to 100% power, including the following steps B1-B5:

[0081] B1: Use OFDM power carrier technology to establish a lighting system communication network to achieve communication between the centralized controller and the lamps, including:

[0082] Set OFDM carrier parameters, including the number of subcarriers, modulation method, frequency range and signal bandwidth;

[0083] Specifically, in B1, setting OFDM carrier parameters is key to establishing a stable communication network. The number of subcarriers is typically set to 1024, taking into account the interference characteristics of power plant environments and system transmission requirements. This achieves high data rates and spectrum utilization, while also providing sufficient channel redundancy to ensure system operation even when some subcarriers are subject to interference.

[0084] Regarding modulation, QPSK (Quadrature Phase Shift Keying) is primarily used, considering the signal transmission reliability and interference resistance in power plant environments. Compared to higher-order modulation methods (such as 16-QAM and 64-QAM), QPSK offers stronger noise immunity and lower bit error rates. While its transmission rate is lower, it provides more reliable data transmission in the complex interference environment of power plants, meeting the basic requirements of lighting control systems.

[0085] In terms of frequency range and signal bandwidth, the carrier center frequency is set at 315kHz, the maximum carrier bandwidth is 50kHz, and the maximum communication rate (channel rate) is 20kbps. This frequency band was selected primarily based on power line transmission characteristics and interference factors, avoiding the harmonic interference frequency bands common in power grids while ensuring stable signal transmission over long distances (up to 2000 meters), meeting the needs of large-scale lighting control in power plants.

[0086] The anti-interference mechanism of OFDM carrier technology in power plant environments mainly includes two aspects: first, an adaptive subcarrier allocation algorithm is used to allocate data to subcarriers with a higher signal-to-interference-plus-noise ratio (SINR) based on channel quality information, avoiding allocating data to subcarriers that are severely interfered with; second, error correction coding technologies such as LDPC (low-density parity check) codes are used to detect and correct erroneous bits generated during transmission at the receiving end, thereby improving data transmission reliability.

[0087] B2: Establish a peer-to-peer network communication protocol to realize data interaction between the internal communication network of the lighting system and the upper control system.

[0088] In B2, establishing a peer-to-peer network communication protocol is crucial for ensuring stable system operation. A peer-to-peer network employs a distributed topology without a central node. Each node in the network is equal, possessing the capabilities of data collection, processing, and transmission. Each node can proactively initiate and respond to communication requests, preventing network-wide paralysis due to central node failures and improving network reliability and flexibility.

[0089] For node discovery and connection, a direct connection method is used. After two nodes confirm their willingness to communicate, they directly establish a connection based on the TCP or UDP protocol, laying the foundation for data transmission. For data transmission and coordination, a conflict avoidance mechanism is used. When multiple nodes send data simultaneously, causing a conflict, a binary exponential backoff algorithm is used. Each node waits a random period of time before retransmitting data, reducing the probability of a conflict recurring.

[0090] In terms of communication frame structure design, OFDM carrier communications utilize a standardized frame format consisting of four main components: a frame header, control information, data payload, and a checksum. The frame header contains synchronization information and a frame type identifier; the control information includes the source address, destination address, and priority; the data payload contains the actual transmitted lighting control commands or status feedback; and the checksum, generated using the CRC-16 algorithm, verifies data integrity at the receiving end. To address interference in power plant environments, a retransmission flag and sequence number are incorporated into the frame structure to facilitate identification and handling of lost packets.

[0091] For data exchange between the lighting system's internal communication network and higher-level control systems, uplink communication supports GPRS / Ethernet, following the TCP / IP protocol, while downlink supports two optional interfaces: OFDM power line carrier and RS485 industrial bus, with a maximum communication distance of 2,000 meters. The system utilizes a standardized API interface, supporting data exchange with higher-level device management systems, building automation systems, or energy management systems, enabling information sharing and collaborative control across multiple systems.

[0092] In an optional embodiment, the lighting system communication network established in step S200 can also adopt a hybrid communication architecture. Specifically, Ethernet or fiber optic transmission technology is used in the backbone network to ensure high-speed, high-capacity data transmission, while OFDM power line carrier technology is used at the terminal device access layer to avoid additional wiring while ensuring reliable access for terminal devices. This hybrid architecture not only ensures overall system communication efficiency but also minimizes installation and maintenance costs.

[0093] In another optional implementation, step S200 can also incorporate a communication encryption mechanism based on OFDM carrier communication, using AES-128 or higher-level encryption algorithms to encrypt transmitted data to prevent unauthorized access and data tampering. Furthermore, role-based access control can be implemented to restrict access to lighting control functions based on user privilege levels, thereby enhancing system security.

[0094] B3: Send control signals to lamps through a centralized controller to achieve stepless dimming control of lamps from 0% to 100% power, including:

[0095] Realize stepless dimming of LED lamps based on PWM control method;

[0096] It should be noted that the PWM control method used in B3 to achieve stepless dimming of LED lamps is a key technology for achieving precise lighting control. PWM (Pulse Width Modulation) achieves dimming control of lamps by adjusting the duty cycle of the pulse signal, thereby changing the average power of the signal. The principle is to send a series of pulse signals to the lamp and, by varying the ratio of the high-level duration of the pulse to the entire cycle, change the average drive current of the lamp, thereby adjusting the lamp's brightness.

[0097] Compared to traditional analog dimming methods (such as adjusting the drive voltage), PWM dimming offers higher precision and a wider dimming range, enabling linear dimming from 0% to 100% while avoiding flickering at low brightness levels. Furthermore, PWM dimming effectively reduces heat generation and extends the lifespan of LED lamps, making it particularly suitable for applications such as power plants, where long-term stable operation of lighting systems is crucial.

[0098] B4: By adjusting the duty cycle of the PWM signal, the driving current of the lamp is controlled to achieve 0% to 100% brightness output;

[0099] In B4, adjusting the PWM signal's duty cycle controls the lamp's drive current, a specific method for achieving stepless dimming. The PWM signal's duty cycle is defined as the ratio of the duration of the high level within a cycle to the total cycle duration, typically expressed as a percentage. When the duty cycle is 0%, the output signal is always low, corresponding to the lamp being off. When the duty cycle is 100%, the output signal is always high, corresponding to full brightness. Intermediate values ​​correspond to different brightness levels.

[0100] To achieve precise brightness control, systems typically use 12-bit or 16-bit resolution PWM controllers, which can provide 4096 or 65536 brightness levels, far exceeding the range that the human eye can distinguish, ensuring smooth transitions in brightness adjustment. The PWM signal frequency is typically set within the 200Hz-2kHz range to avoid visible flicker without increasing switching losses due to excessively high frequencies.

[0101] In practical applications, the nonlinear response characteristics of LED lamps must also be considered. This means that the relationship between LED brightness and current is not strictly linear. To address this, the system has a built-in brightness calibration curve that converts the user-set brightness percentage into a corresponding PWM duty cycle, ensuring linear brightness adjustment. For example, when the user sets 50% brightness, the actual PWM duty cycle may need to be set to 40% or 60%, depending on the characteristic curve of the specific LED lamp.

[0102] B5: Uses specific driver interface standards to connect with different types of LED lamps to ensure stable transmission of dimming control signals.

[0103] In the B5, specific driver interface standards are used to connect to different types of LED lamps to ensure stable transmission of dimming control signals. For different types of LED lamps, the system provides a variety of driver interface options, mainly including constant current driver interface and constant voltage driver interface.

[0104] A constant current driver provides a constant current to the LED, controlling the brightness by adjusting the current. For constant current driver lamps that support PWM dimming, the interface standard is usually 0-10V or DALI. The control unit controls the lamp brightness by adjusting the signal level of these interfaces (such as 0-3.3V or 0-5V PWM signals).

[0105] A constant voltage driver provides a constant voltage to the LED, controlling the current by varying the PWM signal to achieve dimming. The connection method for PWM dimming constant voltage driver lamps is similar to that of constant current drivers. The most common interface standard is the PWM dimming interface, which also uses a 0-3.3V or 0-5V signal level.

[0106] To ensure stable transmission of control signals, the system adopts a number of technical measures: first, shielded cables are used for control signal lines to reduce external electromagnetic interference; second, differential signal transmission technology is used in long-distance transmission scenarios to improve anti-interference capabilities; finally, optoelectronic isolators are installed between the controller and lamp driver to prevent the propagation of electrical faults and common-mode interference.

[0107] For example, the LED high bay lights in the main factory area use a constant current drive method with a 0-10V dimming interface. Control signals are received via an OFDM carrier. A built-in PWM controller converts the demodulated carrier digital signal into a corresponding PWM waveform to drive the LED lights. The system provides dedicated driver parameter configurations for lamps of different power levels (e.g., 50W, 100W, 150W, etc.), ensuring precise brightness control at all power levels.

[0108] In the embodiment of the present application, step S300 automatically adjusts the lighting brightness of each area based on real-time environmental data and preset scenarios, monitors the operating status of lamps in real time, and diagnoses and issues alarms for faulty lamps, including the following steps C1-C7:

[0109] C1: Automatically adjusts lighting brightness in each area based on real-time environmental data and preset scenarios, including:

[0110] Store various lighting scene parameters, including regular working scenes, maintenance scenes, and emergency scenes;

[0111] Specifically, in C1, storing multiple lighting scene parameters is the foundation for implementing intelligent lighting. Scene parameters are typically stored in a database within a central control system. Each scene contains a set of predefined lighting control parameters, such as target brightness, fade time, and control priority for each zone's lamps.

[0112] Conventional work scenarios primarily target daily operations, with different lighting brightness settings based on time of day, area, and operational needs. For example, during the day, operating areas maintain 40% to 60% brightness, while non-operating areas maintain 20% to 30% brightness or are off. At night, operating areas are brightened to 60% to 80%, inspection corridors maintain 40% to 50%, and other areas maintain 30% to 40%. The system automatically adjusts the daytime and nighttime divisions based on seasonal changes to optimize lighting control.

[0113] The Maintenance Scene is designed specifically for equipment maintenance and specialized work tasks, ensuring adequate illumination in the work area. In this scene, the lighting around the maintenance equipment is adjusted to 90% to 100% brightness, the adjacent area to 70% to 80%, and the remaining areas maintain a constant base brightness. Maintenance scenes can be configured with different parameters for different types of maintenance activities (such as routine maintenance, precision maintenance, and emergency maintenance) to meet diverse work needs.

[0114] Emergency scenarios are used to handle emergency situations such as power outages, fires, and equipment failures. In emergency scenarios, the system prioritizes power supply and brightness for emergency lighting and evacuation indicator lights, which are typically connected to a UPS or independent emergency power supply. At the same time, the system maintains the required lighting brightness (typically 50% to 70%) in critical equipment areas, while non-critical areas are dimmed or turned off to conserve emergency power. Emergency scenarios can also be linked to other safety systems (such as fire alarm systems and security systems) and automatically activated upon receiving an emergency signal.

[0115] C2: Automatically selects appropriate lighting scenarios based on environmental monitoring data, work shifts, and operational requirements;

[0116] In C2, the system automatically selects appropriate lighting scenarios based on environmental monitoring data, work shifts, and operational requirements. Environmental monitoring data primarily comes from a network of sensors distributed throughout the power plant, including light sensors, motion sensors, and temperature sensors. Light sensors monitor ambient light intensity and can reduce artificial lighting brightness when natural light is sufficient. Motion sensors detect human activity and automatically reduce lighting brightness in unoccupied areas. Temperature sensors monitor ambient temperature and adjust lighting strategies accordingly, such as reducing the heat load in hot areas.

[0117] Work shift information comes from the power plant's personnel scheduling system. The system automatically switches lighting scenes based on the needs of different shifts (such as day shift, night shift, and handover shift) and different types of work (such as operators, maintenance personnel, and security personnel). For example, during the night shift, the lighting brightness in key activity areas will be increased, while during handover shifts, all areas may need to maintain sufficient lighting for detailed inspections.

[0118] Operational requirements are generated through manual input or interaction with other systems. For example, when a maintenance worker requests maintenance lighting for a specific area through the system interface, the system automatically switches to the maintenance scenario. Similarly, when the security system detects an anomaly, the lighting in the relevant area may be automatically adjusted to support security operations.

[0119] Scene selection is implemented using a rule-based decision-making algorithm. Based on pre-set priority rules, the system comprehensively evaluates various information and selects the lighting scene that best suits the current situation. For example, the emergency scene typically has the highest priority and overrides other scene settings when an emergency is detected. The maintenance scene takes second place, overriding the normal work scene but not the emergency scene. The next highest priority is overriding the normal work scene but not the emergency scene. The normal work scene has the lowest priority and is used when there are no other special needs.

[0120] C3: Intelligently adjust the brightness of lamps in each area to achieve dynamic optimization of the lighting environment.

[0121] In C3, the brightness of lamps in each area is intelligently adjusted to achieve dynamic optimization of the lighting environment. Once the system determines the current lighting scene to be used, it sends dimming commands to the lamps in the relevant area to achieve dynamic brightness adjustment. To ensure user experience and device safety, the system typically uses gradual dimming, which gradually adjusts the lamp brightness from the current value to the target value over a certain period of time (such as 3 to 5 seconds) to avoid visual discomfort or impact on the lamps caused by sudden brightness changes.

[0122] Brightness adjustment also takes into account the physical characteristics and lifespan of the lamps. For example, to reduce the number of times LED lamps are started and stopped, the system prioritizes adjusting brightness rather than completely shutting down the lamps. For areas that may be needed again within a short period of time, the brightness can be reduced to a minimum value (e.g., 5% to 10%) rather than completely shutting down. The system also records the cumulative operating time and dimming times of each lamp to achieve balanced lamp usage and extend the lifespan of the entire system.

[0123] In terms of dynamic optimization, the system can continuously adjust lighting control strategies based on real-time feedback data. For example, by analyzing energy consumption data and lighting effects, the system can identify areas or time periods with low energy efficiency and automatically optimize lighting parameters. By collecting records of manual user adjustments, the system can learn user preferences and gradually improve preset scene parameters, thereby improving the accuracy of automated control and user satisfaction.

[0124] C4: Real-time monitoring of lamp operating status, diagnosis and alarm of faulty lamps, including:

[0125] C5: Monitor the operating parameters of the current and voltage of the lamp;

[0126] In C4-C7, the system monitors the operating status of the lamps in real time and performs fault diagnosis and alarms. Specifically, the system uses current and voltage sensors built into the intelligent controller or lamp driver to collect real-time lamp operating parameters. These parameters are typically transmitted to the central control system via a communication network at a certain sampling frequency (such as every minute or every five minutes) for lamp status monitoring and fault diagnosis.

[0127] Monitored current parameters primarily include the lamp's operating current value, current fluctuation range, and current harmonic content. Under normal operating conditions, the LED lamp's current should remain within ±10% of the rated value, with a stable waveform and low harmonic content. Detecting abnormal current (such as excessive, insufficient, or highly fluctuating current) may indicate a short circuit, open circuit, or driver failure in the lamp.

[0128] Monitored voltage parameters primarily include supply voltage value, voltage stability, and voltage waveform. Under normal conditions, the supply voltage should meet the operating requirements of the luminaire (e.g., DC24V or AC220V) and have a stable waveform. Detecting voltage anomalies (e.g., voltage fluctuations exceeding ±15% or spikes) may indicate grid quality issues or upstream power supply failures, requiring further investigation.

[0129] In addition to current and voltage, the system may also monitor other parameters such as temperature (lamp surface temperature or driver temperature), power factor, communication quality, etc. to comprehensively evaluate the operating status and health of the lamp.

[0130] C6: Analyze the operating status of the lamp and diagnose potential faults based on preset fault judgment rules;

[0131] In the C6, the system analyzes the operating status of the lamp and diagnoses potential faults based on preset fault diagnosis rules. Fault diagnosis rules are a set of predefined logical conditions that convert detected abnormal parameters into specific fault types. For example, if the lamp current is zero but the voltage is normal, it may be judged as an open circuit fault. If the current suddenly increases and the temperature rises, it may be judged as an LED short circuit fault. If the voltage and current are close to normal but the lamp does not light, it may be judged as a failure of the LED light source or a driver output fault.

[0132] Fault diagnosis utilizes a multi-level judgment mechanism. Simple rules are first used to quickly identify lamps with potential problems. More complex analysis algorithms (such as pattern recognition and historical data comparison) are then used to further confirm the fault type and severity. The system also possesses self-learning capabilities, continuously optimizing fault judgment rules and improving diagnostic accuracy by accumulating historical failure cases and maintenance records.

[0133] C7: When a lamp failure is detected, an alarm message is issued through the control system interface and the fault information is recorded.

[0134] In the C7, when the system detects a lamp failure, it issues an alarm through the control system interface and records the fault information. This alarm typically includes the faulty lamp's location (region, number, etc.), fault type, severity, and time of occurrence. Depending on the severity of the fault, the system may employ different levels of alarms, such as interface prompts, audible and visual alarms, or SMS / email notifications, ensuring that relevant personnel are promptly notified of the fault.

[0135] Fault records are stored in the system database, containing detailed fault information, relevant monitoring data, and handling status. These records are not only used for fault tracking and repair management, but also provide data support for subsequent equipment maintenance, fault analysis, and system optimization. The system also provides fault statistics and analysis capabilities, generating various fault reports and trend charts to help managers understand equipment health and identify potential problems.

[0136] In an optional embodiment, the scene control in step S300 can also be combined with weather forecast data to pre-adjust the lighting strategy based on future weather conditions. For example, indoor lighting brightness can be increased when cloudy or rainy days are expected, or special lighting modes can be activated before extreme weather (such as typhoons, heavy rains, etc.) arrives to prepare for the situation in advance.

[0137] In another optional implementation, the fault monitoring and diagnosis in step S300 can also incorporate predictive maintenance technology based on machine learning. By analyzing historical operating data and fault records, the system builds a predictive model for the health of the lamp, identifying potential issues and issuing early warnings before a fault actually occurs. For example, if the current fluctuation pattern of a lamp begins to deviate from the normal range but has not yet reached the fault threshold, the system can notify maintenance personnel in advance to pay attention to the device, avoiding downtime or safety issues caused by unexpected failures.

[0138] It should be noted that the intelligent lighting control strategy in step S300 not only considers lighting effects and energy efficiency, but also takes into account ergonomics and operational safety. For example, when adjusting lighting brightness, the system takes into account the physiological characteristics of human eye adaptation to avoid visual discomfort caused by large brightness changes in a short period of time. Appropriate illumination uniformity and contrast are maintained in key operating areas to reduce glare and shadows, improving operational accuracy and safety. During special periods such as shift changes, the system provides transitional lighting strategies to help workers adapt to environmental changes. Furthermore, the system has designed a mechanism to prevent misoperation, verifying the authority and performing secondary confirmation on lighting control instructions that may affect production safety, ensuring that changes to the lighting system do not negatively impact the normal operation of the power plant.

[0139] In the embodiment of the present application, step S400 automatically adjusts the lighting brightness of each area based on real-time environmental data and preset scenarios, monitors the operating status of lamps in real time, and diagnoses and issues alarms for faulty lamps, including the following steps D1-D3:

[0140] D1: Conduct energy consumption statistics and operation status analysis to generate lighting system management reports, including:

[0141] Collect electricity consumption data of lamps in each area;

[0142] Specifically, in D1, collecting electricity usage data for lamps in each area forms the basis for energy consumption statistics. The system obtains this data in two ways: first, by installing an energy metering module in the intelligent controller or power distribution cabinet to directly measure the total electricity consumption of each circuit or area; second, by calculating theoretical electricity consumption based on lamp control parameters (such as power, brightness, and operating time). These two complementary approaches ensure data accuracy while providing sufficient granularity for detailed analysis.

[0143] Energy metering modules typically utilize high-precision meters capable of measuring a variety of electrical parameters, including active power, reactive power, power factor, voltage, and current. This data is transmitted to a central control system in real time via a communications network, or uploaded in batches at preset intervals (e.g., hourly or daily). For large power plant lighting systems, multiple metering points are typically set up according to functional areas or distribution circuits, enabling refined energy consumption management based on zoning and classification.

[0144] The calculation of a lamp's theoretical power consumption is based on the lamp's rated power and actual operating parameters. For example, the actual power consumption of an LED lamp is approximately linearly proportional to the brightness setting. When the brightness is set to 50%, the power consumption is approximately 50% of the rated power (the specific ratio depends on the lamp driver method). The system records the operating time and brightness setting of each lamp and calculates the theoretical power consumption based on the rated power, providing energy consumption estimates for scenarios where direct metering is not available.

[0145] D2: Analyze and calculate the collected data to calculate the energy consumption in different time periods and different areas;

[0146] In D2, the system analyzes and calculates collected data, generating statistics on energy consumption across different time periods and regions. Time-based analysis typically includes daily, weekly, monthly, quarterly, and annual statistics, identifying energy consumption patterns and trends across different timescales. For example, intraday energy consumption analysis can reveal differences in daytime and nighttime electricity consumption; intraweek analysis can identify usage patterns on weekdays and weekends; and monthly and quarterly analysis can reveal the impact of seasonal changes on lighting demand.

[0147] The regional dimension analysis is carried out according to the functional divisions of the power plant, such as the main plant area, boiler room area, coal handling area, etc., to compare the energy consumption levels and efficiency performance of different areas. By calculating the lighting energy consumption per unit area (such as kWh / m 2 ) or energy consumption per unit illumination (such as kWh / lux〃m 2 ), can objectively compare the lighting efficiency of different areas, identify areas with low energy efficiency, and provide a basis for subsequent optimization.

[0148] The system also offers a variety of advanced analytical capabilities, such as energy consumption benchmarking, energy-saving effect evaluation, and abnormal power usage identification. Energy consumption benchmarking compares actual energy consumption with historical data or industry standards to assess current energy efficiency levels. Energy-saving effect evaluation quantifies the effectiveness of energy-saving measures by comparing energy consumption data before and after optimization. Abnormal power usage identification uses statistical models or machine learning algorithms to automatically detect deviations from normal power usage patterns, promptly identifying energy waste or equipment anomalies.

[0149] D3: Generate a lighting system operating status report, including lighting operating parameters, energy consumption data, and fault records.

[0150] In D3, the system generates a lighting system operating status report based on the above data analysis results. The report mainly includes three aspects: lighting operating parameters, energy consumption data, and fault records.

[0151] The lamp operating parameters section includes information such as the lamp's cumulative operating time, number of starts and stops, and average brightness setting, which is used to assess the lamp's usage intensity and remaining lifespan. For LED lamps, the system also records the changing trends of key performance parameters such as light output decay rate and color temperature shift to determine lamp performance degradation.

[0152] Energy consumption data includes direct energy consumption indicators such as total electricity consumption, energy consumption by zone, and energy consumption by time period, as well as derived indicators such as energy consumption per unit area and energy consumption per capita. This data is typically presented in tables and charts, visually demonstrating energy consumption distribution and trends, allowing managers to quickly grasp the overall situation. Energy consumption data can also be combined with cost information to calculate the operating costs of the lighting system and evaluate its economic performance.

[0153] The fault log summarizes lamp failures during the reporting period, including the number of failures, fault type distribution, and mean time to repair. By analyzing these records, common failure modes and high-incidence areas can be identified, providing guidance for preventive maintenance. The system also calculates lighting system reliability metrics, such as mean time between failures (MTBF) and failure rate, to assess the overall health of the system.

[0154] Report generation supports a variety of formats and output methods, including direct viewing within the system interface, exporting to Excel or PDF files, and automatic emailing. Report generation frequency can be flexibly configured to meet management needs. Regular reports are typically generated monthly or quarterly, while real-time reports on key indicators are readily available. The system also supports customizable report templates, allowing managers to select the indicators of interest and presentation methods based on specific needs, enhancing report practicality.

[0155] In an optional implementation, step S400 can also incorporate an energy efficiency benchmarking mechanism to compare the power plant's lighting system energy consumption data with industry best practices or other similar power plants, identifying efficiency gaps and improvement opportunities. By regularly collecting industry benchmark data and establishing energy efficiency evaluation standards, the system provides clear goals and direction for lighting system optimization.

[0156] In another optional implementation, the data analysis in step S400 can be extended to include lighting quality assessment. By collecting lighting quality parameters such as illuminance, uniformity, and color rendering index, and combining them with energy consumption data for comprehensive analysis, the system can balance energy efficiency and lighting performance. The system can establish a correlation model between lighting quality and energy consumption, finding the optimal balance and maximizing energy savings while maintaining lighting quality.

[0157] It should be noted that the energy consumption statistics and operational status analysis in step S400 not only provide operational feedback on the lighting system but also provide data support for ongoing system optimization and management decisions. By analyzing energy consumption patterns and usage habits, the system can automatically identify energy-saving opportunities, such as adjusting lighting strategies and optimizing control parameters. By analyzing fault data and performance trends, the system can predict maintenance needs and formulate appropriate plans for lamp replacement and system upgrades. By analyzing energy costs and operating expenses, the system can assess the economic benefits of energy-saving measures and support investment decisions. This data-driven, closed-loop management model transforms the lighting system from "passive control" to "active optimization," continuously improving the system's energy efficiency and operational quality.

[0158] In summary, the present invention effectively solves the problems of unstable communication, inability to accurately dim, lack of remote control and intelligent management in traditional power plant lighting systems by establishing an intelligent lighting control system for power plants based on OFDM carrier technology. The system first obtains the lighting parameters of the power plant and constructs a system model to achieve intelligent grouping and differentiated management of lamps in different areas; secondly, it uses OFDM power carrier technology to establish a stable communication network, overcomes the strong interference problem in the power plant environment, and realizes 0% to 100% stepless dimming of lamps through PWM control technology; thirdly, it automatically adjusts the lighting brightness based on real-time environmental data and preset scenarios, and monitors and diagnoses faults of the lamp operating status; finally, through energy consumption statistics and operating status analysis, it generates management reports to provide data support for the optimized management of the lighting system. The overall solution significantly improves the energy utilization efficiency, management level and reliability of the power plant lighting system, providing a strong guarantee for the safe production of the power plant.

[0159] Example 3

[0160] The above is a schematic diagram of an OFDM-based intelligent lighting control method for power plants. It should be noted that the technical solution of this OFDM-based intelligent lighting control system for power plants shares the same concept as the technical solution of the OFDM-based intelligent lighting control method for power plants described above. For details not described in detail in the technical solution of the OFDM-based intelligent lighting control system for power plants in this embodiment, please refer to the description of the technical solution of the OFDM-based intelligent lighting control method for power plants described above.

[0161] This embodiment further provides an OFDM carrier-based intelligent lighting control system for a power plant, including:

[0162] The data acquisition and model building module is used to obtain power plant lighting parameters and build a power plant lighting system model. Based on the power plant lighting system model, it is used to intelligently group different areas of the plant and set lighting control strategies for each area.

[0163] The stepless dimming control module is used to establish a lighting system communication network using OFDM power carrier technology to achieve communication between the centralized controller and the lamps. It is used to send control signals to the lamps through the centralized controller to achieve stepless dimming control of the lamps from 0% to 100% power;

[0164] The fault monitoring and diagnosis module is used to automatically adjust the lighting brightness of each area based on real-time environmental data and preset scenarios, monitor the operating status of lamps in real time, and diagnose and alarm faulty lamps;

[0165] The energy consumption statistics analysis module is used to perform energy consumption statistics and operation status analysis to form lighting system management reports.

[0166] This embodiment also provides an electronic device suitable for online health monitoring of high-temperature pipelines, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the method for online health monitoring of high-temperature pipelines proposed in the above embodiment.

[0167] This embodiment further provides a storage medium having a computer program stored thereon. When the program is executed by a processor, the method for online health monitoring of a high-temperature pipeline as proposed in the above embodiment is implemented.

[0168] The storage medium proposed in this embodiment and the method for realizing online health monitoring of high-temperature pipelines proposed in the above embodiment belong to the same inventive concept. For technical details not fully described in this embodiment, please refer to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0169] Through the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented with the help of software and necessary general hardware, and of course can also be implemented by hardware. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory (FLASH), hard disk or optical disk, etc., including a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods of various embodiments of the present invention.

[0170] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A power plant intelligent lighting control method based on OFDM carrier, characterized by: This includes obtaining power plant lighting parameters and building a power plant lighting system model, intelligently grouping and managing different areas of the plant based on the power plant lighting system model, and setting lighting control strategies for each area; The OFDM power carrier technology is used to establish a lighting system communication network to achieve communication connection between the centralized controller and the lamps. The centralized controller sends control signals to the lamps to achieve stepless dimming control of the lamps from 0% to 100% power. Based on real-time environmental data and preset scenarios, it automatically adjusts the lighting brightness of each area, monitors the operating status of lamps in real time, and diagnoses and issues alarms for faulty lamps. Conduct energy consumption statistics and operation status analysis to generate lighting system management reports.

2. The OFDM carrier-based intelligent lighting control method for a power plant according to claim 1, characterized in that: Based on the power plant lighting system model, different areas of the plant are intelligently grouped and managed, and lighting control strategies for each area are set, including: Divide lighting areas according to the functional areas of the power plant, including the main plant area, boiler room area and coal transportation area; Install intelligent controllers in each area and group the lamps in each area according to their functions and spatial locations; According to the lighting requirements of different areas, set corresponding lighting control strategies, including basic lighting strategies and special scene lighting strategies.

3. The OFDM carrier-based intelligent lighting control method for a power plant according to claim 2, characterized in that: The OFDM power line carrier technology is used to establish a lighting system communication network to achieve communication between the centralized controller and the lamps, including: Set OFDM carrier parameters, including the number of subcarriers, modulation method, frequency range and signal bandwidth; Establish a peer-to-peer network communication protocol to realize data interaction between the internal communication network of the lighting system and the upper control system.

4. The OFDM carrier-based intelligent lighting control method for a power plant according to claim 3, wherein: The centralized controller sends a control signal to the lamp to achieve stepless dimming control of the lamp between 0% and 100% power, including: Realize stepless dimming of LED lamps based on PWM control method; By adjusting the duty cycle of the PWM signal, the driving current of the lamp is controlled to achieve 0% to 100% brightness output; Adopt specific driver interface standards to connect with different types of LED lamps to ensure stable transmission of dimming control signals.

5. The OFDM carrier-based intelligent lighting control method for a power plant according to claim 4, characterized in that: Automatically adjusting the lighting brightness of each area based on real-time environmental data and preset scenarios includes: Store various lighting scene parameters, including regular working scenes, maintenance scenes, and emergency scenes; Automatically select appropriate lighting scenarios based on environmental monitoring data, work shifts, and operational requirements; Intelligently adjust the brightness of lamps in each area to achieve dynamic optimization of the lighting environment.

6. The OFDM carrier-based intelligent lighting control method for a power plant according to claim 5, characterized in that: The real-time monitoring of the operating status of the lamps and the diagnosis and alarm of faulty lamps include: Monitor the operating parameters of current and voltage of lamps; Based on the preset fault judgment rules, analyze the operating status of the lamp and diagnose potential faults; When a lamp failure is detected, an alarm message is issued through the control system interface and the failure information is recorded.

7. The OFDM carrier-based intelligent lighting control method for a power plant according to claim 6, characterized in that: The energy consumption statistics and operation status analysis are performed to form a lighting system management report, including: Collect electricity consumption data of lamps in each area; Analyze and calculate the collected data to count the energy consumption in different time periods and areas; Generate lighting system operation status report, including lamp operation parameters, energy consumption data, and fault records.

8. An OFDM carrier-based intelligent lighting control system for a power plant, based on the OFDM carrier-based intelligent lighting control method for a power plant according to any one of claims 1 to 7, characterized in that: It also includes a data acquisition and model building module for acquiring power plant lighting parameters and building a power plant lighting system model, and for intelligently grouping and managing different areas of the plant based on the power plant lighting system model and setting lighting control strategies for each area; A stepless dimming control module is used to establish a lighting system communication network using OFDM power carrier technology to achieve communication connection between the centralized controller and the lamps. It is used to send control signals to the lamps through the centralized controller to achieve stepless dimming control of the lamps from 0% to 100% power; The fault monitoring and diagnosis module is used to automatically adjust the lighting brightness of each area based on real-time environmental data and preset scenarios, monitor the operating status of lamps in real time, and diagnose and alarm faulty lamps; The energy consumption statistics analysis module is used to perform energy consumption statistics and operation status analysis to form lighting system management reports.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the OFDM carrier-based power plant intelligent lighting control method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the OFDM carrier-based power plant intelligent lighting control method according to any one of claims 1 to 7 are implemented.

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