Power distribution room anti-condensation dehumidification method of energy-saving dehumidification device adopting optical radiation technology

Abstract

The invention discloses a power distribution room anti-condensation dehumidification method adopting an optical radiation technology energy-saving dehumidification device, and relates to the technical field of power distribution room dehumidification, and the method comprises the following steps: dividing a power distribution room into a plurality of monitoring areas, installing environment monitoring sensors and intelligent adjustment equipment in the monitoring areas, and configuring a communication gateway; building a local communication network; based on the Internet of Things and node communication technology, a dynamic environment control system fusing a distributed environment monitoring sensor and intelligent adjusting equipment is constructed, environment data and equipment state data of each monitoring area in a power distribution room are monitored and collected in real time, and a digital model containing spatial-temporal characteristics is established; and based on a preset power distribution room dehumidification task standard, comparing the environment data monitored at the current moment, and identifying an abnormal monitoring area. According to the invention, by integrating the optical radiation technology energy-saving dehumidification device and the dynamic environment control system, the cooling and dehumidification effects in the power distribution room are greatly improved, and a more stable and reliable environmental guarantee is provided for power distribution equipment.

Description

Technical Field

[0001] The invention relates to the technical field of dehumidification in power distribution rooms, and in particular to an anti-condensation dehumidification method for power distribution rooms using a light radiation technology energy-saving dehumidification device. Background Art

[0002] In the power distribution room, the heat generated during the operation of the equipment and the temperature difference of the external environment can easily cause the local temperature in the power distribution room to drop. When the moisture saturation reaches 100%, water vapor will form condensation on the cooling surface. These condensation drops may penetrate into the metal surface or insulating parts of the electrical equipment, causing corrosion of the electrical equipment, oxidation of metal parts, poor contact, reduced insulation performance, and even short circuits and electrical fires. In order to ensure the normal operation of the equipment in the power distribution room, extend the service life of the equipment, and improve the safety and reliability of the equipment, anti-condensation dehumidification is particularly important.

[0003] At present, the main technical means of anti-condensation and dehumidification in distribution rooms include air conditioning dehumidification, desiccant application, special dehumidifiers and ventilation systems. Air conditioning dehumidification reduces the humidity in the air by refrigeration, reducing the formation of condensation by water vapor in the air. Desiccant, such as silica gel, molecular sieve and other materials, absorbs moisture in the air through the principle of physical adsorption, and is often used for humidity control in a small range or specific area. Special dehumidifiers use the condensation principle to remove moisture from the air by cooling and draining water, which is currently a more common solution. In addition, the ventilation system helps the dissipation and flow of air moisture by increasing the air circulation speed, thereby reducing humidity.

[0004] Although the existing technology can effectively control humidity and prevent condensation to a certain extent, there are still some shortcomings. First, although air conditioning dehumidification can effectively remove moisture, its energy consumption is high, especially in large-scale distribution rooms, which may lead to considerable electricity costs. In addition, air conditioning dehumidification also has certain requirements for the temperature control of the equipment, and too low a temperature may have a negative impact on the equipment. Secondly, although the application of desiccant is low in cost, the moisture absorption capacity of the desiccant is limited. When there is more moisture, the desiccant is easily saturated and needs to be frequently replaced or heated for regeneration, which not only increases the maintenance workload, but also brings additional operating costs. The noise problem of dedicated dehumidifiers is also a major defect in their application, especially in distribution rooms that operate 24 hours a day, the noise may affect the working environment and efficiency of the staff. In addition, although the traditional ventilation system can reduce humidity through air circulation, it cannot completely guarantee the stable control of humidity, especially in humid environmental conditions, it is difficult to achieve effective dehumidification effect by relying on the ventilation system.

[0005] In terms of intelligence and system control, most dehumidification equipment currently still uses traditional manual control or simple automatic control, lacking precise intelligent management and adjustment mechanisms. For example, many devices cannot monitor the humidity and temperature changes in the power distribution room in real time, nor do they have the function of automatically adjusting the dehumidification mode according to specific environmental conditions. In addition, most of the existing dehumidification technologies are single-function devices, making it difficult to achieve the integration and synergy of multiple technologies. Due to the lack of information sharing and intelligent control between devices, the dehumidification effect is easily affected by changes in the external environment, and the operating status cannot be optimized in real time, thus affecting the dehumidification effect and energy efficiency. Summary of the invention

[0006] Based on this, it is necessary to provide a method for anti-condensation and dehumidification of a distribution room using an energy-saving dehumidification device using light radiation technology to address the above technical problems.

[0007] The present invention provides a method for preventing condensation and dehumidifying a power distribution room by using a light radiation technology energy-saving dehumidification device, the method comprising the following steps: S1. Divide the power distribution room into several monitoring areas, install environmental monitoring sensors and intelligent adjustment equipment in the monitoring areas, configure communication gateways, and build a local communication network; S2. Based on the Internet of Things and node communication technology, a dynamic environment control system integrating distributed environmental monitoring sensors and intelligent adjustment equipment is constructed to monitor and collect environmental data and equipment status data of each monitoring area in the power distribution room in real time, and establish a digital model containing spatiotemporal characteristics; S3. Based on the preset dehumidification task standard of the power distribution room, compare the environmental data currently monitored, identify the monitoring area with abnormalities, and control the intelligent adjustment equipment to perform the anti-condensation dehumidification task; S4. Real-time monitoring of temperature and humidity changes during the dehumidification process of the power distribution room, setting the optimal equipment energy efficiency and dehumidification performance as the optimization target, creating an energy-saving control model, adjusting the control parameters of different intelligent control equipment in each monitoring area, and optimizing the execution effect of the anti-condensation dehumidification task; S5. Real-time monitoring of the dehumidification effect and equipment status data of each monitoring area in the power distribution room. When there is equipment failure or abnormal operation, fault warning and maintenance response are triggered; Among them, real-time monitoring of temperature and humidity changes during the dehumidification process of the distribution room, setting the optimal equipment energy efficiency and dehumidification performance as the optimization target, creating an energy-saving control model, adjusting the control parameters of different intelligent control equipment in each monitoring area, and optimizing the execution effect of the anti-condensation dehumidification task include the following steps: S41. Set a sampling frequency to regularly obtain environmental data and device status data of the intelligent regulating device during the execution of the anti-condensation and dehumidification task, and combine the timestamp information to form a time series; S42, setting input variables and output variables, maximizing the humidity reduction rate under unit power consumption as the optimal equipment energy efficiency, maximizing the humidity reduction effect in the power distribution room as the optimal dehumidification performance, and establishing an energy-saving control model for the intelligent adjustment equipment to perform anti-condensation dehumidification tasks; S43. Use the distributed particle swarm optimization algorithm to solve the energy-saving control model, output the optimal control strategy, and adjust and optimize the control parameters of the intelligent control equipment according to the optimal control strategy.

[0008] Furthermore, the power distribution room is divided into several monitoring areas, environmental monitoring sensors and intelligent adjustment equipment are installed in the monitoring areas, and communication gateways are configured. Building a local area communication network includes the following steps: S11. Based on the spatial layout of the power distribution room, the density of electromechanical equipment and the dehumidification requirements of the equipment, the power distribution room is divided into different types of monitoring areas, and the monitoring areas include the main machine room area, auxiliary area, adjustment equipment area and monitoring area; S12. Install environmental monitoring sensors in a distributed manner in the monitoring area to ensure that the monitoring range covers the entire space of the power distribution room, and the environmental monitoring sensors include temperature sensors, humidity sensors, light radiation sensors, air flow rate sensors and energy consumption sensors; S13. Install intelligent regulating equipment at corresponding locations in the monitoring area. The intelligent regulating equipment includes light radiation technology energy-saving dehumidification devices, fans, air conditioners and condensing dehumidifiers; S14. Set the environmental monitoring sensor as a communication node, configure a communication gateway in the monitoring area, configure the communication protocol, build a local communication network, use the communication gateway to perform data aggregation and command forwarding, and realize the coordinated work of various intelligent adjustment devices.

[0009] Furthermore, based on the Internet of Things and node communication technology, a dynamic environment control system integrating distributed environmental monitoring sensors and intelligent adjustment equipment is constructed to monitor and collect environmental data and equipment status data of each monitoring area in the power distribution room in real time, and to establish a digital model containing spatiotemporal characteristics, including the following steps: S21. Based on the Internet of Things and node communication technology, build a multi-layer integrated Internet of Things architecture to form a dynamic environment control system to manage environmental monitoring sensors and intelligent adjustment equipment; S22, using environmental monitoring sensors to collect environmental data of each monitoring area in real time, the environmental data including temperature data, humidity data, light radiation data, air flow rate data and equipment energy consumption data, and monitoring the equipment status data fed back during the operation of the intelligent regulating equipment; S23, preprocessing the collected environmental data and equipment status data, and integrating the environmental data into a multi-dimensional spatiotemporal data set based on timestamp and spatial location information; S24. Establish a digital model based on the spatial layout of the distribution room, map the spatiotemporal data set into the three-dimensional space of the digital model, and generate a visualization model that dynamically displays changes in environmental data.

[0010] Furthermore, the dynamic environment control system includes a perception layer, a network layer, an application layer and a response layer; wherein the perception layer includes distributed environmental monitoring sensors for real-time collection of environmental data, the network layer includes a local area communication network established by a communication gateway, the application layer includes a dynamic environment control center for data processing, equipment control, three-dimensional modeling and visualization, and the response layer includes a number of intelligent adjustment devices.

[0011] Furthermore, based on the preset dehumidification task standard of the power distribution room, the environmental data monitored at the current moment is compared, the monitoring area with abnormalities is identified, and the intelligent adjustment device is controlled to perform the anti-condensation dehumidification task, including the following steps: S31. Based on the actual operation requirements and equipment performance of the power distribution room, set the standard thresholds for various types of environmental data, and combine the hierarchical response of the intelligent adjustment equipment to establish the dehumidification task standards for the power distribution room; S32, based on the spatiotemporal distribution of the digital model, comparing the environmental data collected in real time with the corresponding standard threshold, judging whether the intelligent adjustment device meets the execution conditions, and selecting to call the corresponding intelligent adjustment device to perform the anti-condensation dehumidification task; S33. Obtain the judgment result of the environmental data, mark the monitoring area that exceeds the standard threshold, and mark the abnormal level of the monitoring area according to the amount of environmental data that exceeds the standard threshold.

[0012] Furthermore, based on the spatiotemporal distribution of the digital model, the environmental data collected in real time is compared with the corresponding standard threshold value to determine whether the intelligent adjustment device meets the execution conditions, and the selection of calling the corresponding intelligent adjustment device to perform the anti-condensation dehumidification task includes the following steps: S321. According to the spatial distribution of the digital model, the relationship between the humidity data in each monitoring area and the humidity standard threshold is preferentially compared. If the humidity data does not exceed the humidity standard threshold, the anti-condensation dehumidification task is not performed. If the humidity data exceeds the humidity standard threshold, the warning state is entered, and the corresponding intelligent adjustment device is selected according to the priority, and step S322 is executed; S322, comparing the relationship between the light radiation data in each monitoring area and the light radiation standard threshold value, if the light radiation data is within the light radiation standard threshold range, then controlling the light radiation technology energy-saving dehumidification device to perform the anti-condensation dehumidification task, and executing step S323; if the light radiation data does not meet the light radiation standard threshold range, then controlling other intelligent adjustment devices to perform the anti-condensation dehumidification task, and executing step S324; S323. After the light radiation technology energy-saving dehumidification device participates in the anti-condensation dehumidification task, if the humidity data in the monitoring area exceeds the upper limit of the humidity standard threshold, the condensing dehumidifier is started to realize linkage and reduce the indoor humidity of the power distribution room. If the temperature data in the monitoring area exceeds the temperature standard threshold, the air conditioner is started to realize linkage and adjust the indoor temperature. If the air flow rate data in the monitoring area does not meet the flow rate standard threshold, the fan is started to realize linkage and adjust the indoor air flow rate. S324. Disable the energy-saving dehumidification device using optical radiation technology, start the condensing dehumidifier, and reduce the indoor humidity in the power distribution room. If the temperature data in the monitoring area exceeds the temperature standard threshold, start the air conditioner to achieve linkage and adjust the indoor temperature. If the air flow rate data in the monitoring area does not meet the flow rate standard threshold, start the fan to achieve linkage and adjust the indoor air flow rate.

[0013] Furthermore, input variables and output variables are set, the humidity reduction rate under unit power consumption is maximized as the optimal equipment energy efficiency, and the humidity reduction effect in the power distribution room is maximized as the optimal dehumidification performance. The energy-saving control model for the intelligent adjustment equipment to perform the anti-condensation dehumidification task is established, including the following steps: S421, setting the humidity data, temperature data, air flow rate data, light radiation data and real-time power consumption of the intelligent adjustment equipment in the power distribution room as input variables, and setting the equipment energy efficiency, humidity change rate and total energy consumption as output variables; S422, taking the maximization of the humidity reduction rate under unit power consumption and the maximization of the humidity reduction effect in the power distribution room as the optimization goals, establishing the objective function of the anti-condensation and dehumidification task of the power distribution room, and independently calculating the sub-objective functions of the local equipment energy consumption and humidity reduction effect according to the monitoring area; S423. Based on the historical operation data of various types of intelligent regulating equipment, a mathematical model between the energy consumption of the intelligent regulating equipment and the humidity reduction rate is established. According to the pre-set dehumidification task standard of the distribution room, the constraint conditions of the anti-condensation dehumidification task are set, and the energy-saving regulation model of the distribution room is constructed in an integrated manner.

[0014] Furthermore, the expression of the objective function is: In the formula, Maximsze represents the objective function; Δ RH Indicates the rate of change of humidity; Pi Indicates i Real-time power consumption of intelligently regulated devices; N Indicates the number of intelligent adjustment devices; w 1. w 2 represents the weight coefficient.

[0015] Furthermore, the distributed particle swarm optimization algorithm is used to solve the energy-saving control model, and the optimal control strategy is output. The control parameters of the intelligent control device are adjusted and optimized according to the optimal control strategy, including the following steps: S431, based on the environmental data and equipment status data collected in real time in each monitoring area in the power distribution room, initialize the particle swarm, each particle represents a type of data combination, randomly select n particles from the particle swarm, evenly divide them into a particle group and a difference group, and distribute the two groups of particles in different areas; S432, setting the parameters of the particle swarm optimization algorithm and the differential evolution algorithm, calculating the fitness value of the current individual particle, and finding the optimal individual particle in the particle group and the differential group, marking them as the optimal individual particle and the optimal differential individual respectively; S433, selecting the best particle individual from the best particle individual and the best difference individual, if the number of iterations reaches the maximum value, stop the operation, and use the best particle individual as the best control strategy, if the iteration does not reach the maximum value, execute step S434; S434, using the best particle individual among the best particle individual and the best difference individual to replace the best particle individual in the particle group and the difference group, to generate a new generation of particle group and difference group; S435, using a particle swarm optimization algorithm to update the position and speed of individual particles in the particle group, using a differential evolution algorithm to hybridize and select individuals in the differential group, and updating the differential group; S436. During the iteration process, determine whether there is stagnation in the individuals in the group. If so, use the position update formula to mutate the individuals and obtain the latest positions of the individuals. S437. Return to execute step S432 until the iteration ends.

[0016] Furthermore, the position update formula is: In the formula, express t +1 individual in iteration k location; A min represents the best position for individual search; A max - A min Indicates the boundary range within which the search is allowed; rand (0, 1) represents a random number generated in the interval [0, 1].

[0017] The beneficial effects of the present invention are: 1. A major breakthrough in environmental control in the power distribution room has been achieved by integrating the energy-saving dehumidification device using light radiation technology and the dynamic environment control system. Not only can the temperature and humidity changes be accurately grasped through distributed lifting and intelligent adjustment, but the equipment can also be intelligently adjusted according to actual needs to ensure that the environmental data is maintained within the ideal range and achieve precise control. At the same time, the dynamic environment control system can respond to changes in environmental data in real time, quickly trigger the execution equipment, and significantly enhance the environmental response speed. In addition, the comprehensive application of energy-saving dehumidification devices using light radiation technology, fans, condensing dehumidifiers and other high-efficiency equipment, combined with intelligent closed-loop control, has greatly improved the cooling and dehumidification effects in the power distribution room, providing a more stable and reliable environmental protection for the power distribution equipment. Therefore, the present invention effectively improves the intelligence and efficiency of environmental control in the power distribution room and ensures the safe and stable operation of the power system.

[0018] 2. By dividing the monitoring area and deploying environmental monitoring sensors and intelligent adjustment equipment, combined with the Internet of Things and node communication technology, it is possible to monitor and accurately identify abnormal areas in real time, dynamically control the coordinated operation of multiple intelligent adjustment equipment, and achieve efficient and anti-condensation dehumidification; at the same time, based on the energy-saving control model, optimize the equipment operation parameters, aiming at the optimal energy efficiency and dehumidification performance, and effectively reduce energy consumption; in addition, through real-time fault monitoring and maintenance response, ensure the safety and reliability of equipment operation. The overall solution is highly intelligent and has significant energy-saving effects, which can meet the anti-condensation dehumidification needs in the complex environment of the distribution room. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings: Figure 1 The present invention is a flowchart of a method for preventing condensation and dehumidification in a power distribution room using an energy-saving dehumidification device using light radiation technology according to an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0021] See also Figure 1 , a method for preventing condensation and dehumidification in a power distribution room using a light radiation technology energy-saving dehumidification device, the method comprising the following steps: S1. Divide the power distribution room into several monitoring areas, install environmental monitoring sensors and intelligent adjustment equipment in the monitoring areas, configure communication gateways, and build a local communication network.

[0022] In the description of the present invention, the power distribution room is divided into several monitoring areas, environmental monitoring sensors and intelligent adjustment equipment are installed in the monitoring areas, and communication gateways are configured. Building a local area communication network includes the following steps: S11. Based on the spatial layout of the distribution room, the density of electromechanical equipment and the dehumidification requirements of the equipment, the distribution room is divided into different types of monitoring areas, and the monitoring areas include the main computer room area, auxiliary area, adjustment equipment area and monitoring area.

[0023] Specifically, the main machine room area is the area in the power distribution room where the main power equipment (such as transformers, circuit breakers, etc.) is placed. The auxiliary area includes cable interlayers, passages, power accessories storage areas, etc. The conditioning equipment area is the area where air conditioning units and ventilation equipment are installed. The monitoring area is the control system equipment area, which is used for data monitoring and system operation control.

[0024] S12. Install environmental monitoring sensors in a distributed manner in the monitoring area to ensure that the monitoring range covers the entire space of the distribution room. The environmental monitoring sensors include temperature sensors, humidity sensors, light radiation sensors, air flow rate sensors and energy consumption sensors.

[0025] S13. Install intelligent regulating equipment at corresponding locations within the monitoring area. The intelligent regulating equipment includes light radiation technology energy-saving dehumidification devices, fans, air conditioners and condensing dehumidifiers.

[0026] Specifically, the light radiation technology energy-saving dehumidification device is an energy-saving dehumidification technology that uses light radiation (usually solar energy or electric energy) to heat the equipment and promote the dehumidification process. It uses light energy or radiation sources (such as infrared radiation, sunlight, etc.) to provide heat energy for the dehumidification system, helping to increase the evaporation rate of water in the air, reduce humidity, and prevent water vapor from condensing into water droplets. In the anti-condensation dehumidification of the distribution room, the application of light radiation technology can remove moisture in an energy-saving way and avoid damage to the equipment due to condensation. At the same time, it has certain advantages in improving energy efficiency and reducing operating costs.

[0027] Light radiation technology energy-saving dehumidification devices usually rely on the following principles: Principle of photothermal conversion: Photothermal technology converts light energy into heat energy through light sources (such as sunlight, infrared lamps, etc.). This process can transfer heat to the surrounding air through surface radiation, conduction or convection. When the air is heated, the water vapor in the air will increase, increasing the evaporation rate of water vapor, reducing moisture accumulation, and thus reducing the relative humidity of the air.

[0028] Moisture evaporation and condensation: The core goal of light radiation technology is to promote the evaporation of moisture in the air by providing heat. When the air humidity in the distribution room is high, the moisture in the air will turn into water vapor after being heated by the light source, thereby reducing the probability of condensation in the air. Water vapor releases heat during the heating process, the air humidity decreases, and the possibility of condensation is reduced, thereby preventing electrical equipment from being corroded by moisture.

[0029] In the power distribution room, the main purpose of anti-condensation dehumidification is to maintain a suitable humidity environment in the power distribution room to prevent condensation from corroding electrical equipment, causing insulation failure and short circuit risks. Traditional dehumidification methods (such as air conditioners, dehumidifiers, desiccant, etc.) have problems such as high energy consumption, troublesome equipment maintenance, and high noise, while light radiation technology provides a more energy-saving and environmentally friendly solution. Through light radiation technology, solar energy or other radiation sources can be used to provide heating for the dehumidification system or promote the evaporation of water vapor, thereby increasing the evaporation rate of water in the air and reducing the relative humidity of the air. Since light radiation can directly provide heat, the external energy consumption required in the dehumidification process is less, so it has a higher energy efficiency ratio. In addition, light radiation technology does not rely on mechanical compression or chemical moisture absorption, which reduces the complexity and maintenance requirements of the equipment and avoids the noise problems that may be caused by traditional dehumidification technology.

[0030] S14. Set the environmental monitoring sensor as a communication node, configure a communication gateway in the monitoring area, configure the communication protocol, build a local communication network, use the communication gateway to perform data aggregation and command forwarding, and realize the coordinated work of various intelligent adjustment devices.

[0031] Specifically, the local communication network can choose an Ethernet-based wired communication network to ensure stable data transmission, or it can use wireless communication protocols (such as Wi-Fi, Zigbee, LoRa, etc.) to adapt to the needs of different spatial layouts. In local areas or areas where devices are concentrated, wired communication is preferred to ensure data reliability and bandwidth. In places where devices are widely distributed or the space is complex, wireless communication can be selected, such as using Zigbee (a low-power wireless communication protocol) or LoRa (a protocol suitable for long-distance low-power devices) to connect sensors.

[0032] S2. Based on the Internet of Things and node communication technology, a dynamic environment control system integrating distributed environmental monitoring sensors and intelligent adjustment equipment is constructed to monitor and collect environmental data and equipment status data of each monitoring area in the distribution room in real time, and establish a digital model with time and space characteristics.

[0033] In the description of the present invention, based on the Internet of Things and node communication technology, a dynamic environment control system integrating distributed environmental monitoring sensors and intelligent adjustment equipment is constructed to monitor and collect environmental data and equipment status data of each monitoring area in the power distribution room in real time, and to establish a digital model containing spatiotemporal characteristics, including the following steps: S21. Based on the Internet of Things and node communication technology, build a multi-layer integrated Internet of Things architecture to form a dynamic environment control system to manage environmental monitoring sensors and intelligent adjustment equipment.

[0034] In the description of the present invention, the dynamic environment control system includes a perception layer, a network layer, an application layer and a response layer. Among them, the perception layer includes distributed environmental monitoring sensors for real-time collection of environmental data, the network layer includes a local communication network established by a communication gateway, the application layer includes a dynamic environment control center for data processing, equipment control, three-dimensional modeling and visualization, and the response layer includes a number of intelligent adjustment devices.

[0035] Specifically, the Dynamic Environmental Monitoring and Control System, referred to as the Dynamic Environmental System, refers to an automated control system that monitors the environmental conditions (such as temperature, humidity, air quality, etc.) of key equipment such as power distribution rooms and computer rooms and performs real-time control to ensure that the equipment operates under optimal environmental conditions. The goal of the Dynamic Environmental System is to ensure that environmental conditions (such as temperature and humidity) are suitable for the operation of power equipment, to avoid damage to the equipment due to environmental factors (such as excessive humidity or low temperature), thereby improving the safety, reliability and service life of the equipment.

[0036] In the anti-condensation dehumidification of the distribution room, the key role of the dynamic environment control system is to collect real-time temperature and humidity data through sensors, and adjust the operating status of different dehumidification equipment (such as light radiation technology energy-saving dehumidification devices, fans, condensing dehumidifiers and air conditioners) according to these data, so as to achieve the best humidity control and energy-saving effects, and prevent the equipment from condensation, corrosion, short circuit and other problems caused by excessive moisture.

[0037] S22. Use environmental monitoring sensors to collect environmental data of each monitoring area in real time, including temperature data, humidity data, light radiation data, air flow rate data and equipment energy consumption data, and monitor the equipment status data fed back during the operation of the intelligent adjustment equipment.

[0038] S23. Preprocess the collected environmental data and equipment status data, and integrate the environmental data into a multi-dimensional spatiotemporal data set based on timestamp and spatial location information.

[0039] S24. Establish a digital model based on the spatial layout of the distribution room, map the spatiotemporal data set into the three-dimensional space of the digital model, and generate a visualization model that dynamically displays changes in environmental data.

[0040] Specifically, use 3D modeling tools (such as Unity, Blender, or custom engines) to draw a basic 3D model based on the actual layout of the power distribution room. Map the spatiotemporal data into 3D space to generate a visualization model that dynamically displays changes in environmental parameters. Color coding can be used to represent different temperature and humidity ranges, such as red for high temperature and high humidity, and blue for low temperature and low humidity. In addition, particle flow can be used to display the direction of air flow, and a dynamic cursor can be used to display the real-time working area of ​​the dehumidification device.

[0041] S3. Based on the preset dehumidification task standard of the distribution room, compare the environmental data currently monitored, identify the monitoring areas with abnormalities, and control the intelligent adjustment equipment to perform the anti-condensation dehumidification task.

[0042] In the description of the present invention, based on the preset dehumidification task standard of the power distribution room, comparing the environmental data monitored at the current moment, identifying the monitoring area with abnormalities, and controlling the intelligent adjustment device to perform the anti-condensation dehumidification task includes the following steps: S31. Based on the actual operation requirements and equipment performance of the distribution room, set standard thresholds for various types of environmental data, combine the graded response of the intelligent adjustment equipment, and establish the dehumidification task standards for the distribution room.

[0043] S32. Based on the spatiotemporal distribution of the digital model, the environmental data collected in real time is compared with the corresponding standard threshold value to determine whether the intelligent adjustment device meets the execution conditions, and the corresponding intelligent adjustment device is selected to perform the anti-condensation and dehumidification task.

[0044] In the description of the present invention, based on the spatiotemporal distribution of the digital model, the environmental data collected in real time is compared with the corresponding standard threshold value, and it is judged whether the intelligent adjustment device meets the execution conditions, and the selection of calling the corresponding intelligent adjustment device to perform the anti-condensation dehumidification task includes the following steps: S321. According to the spatial distribution of the digital model, the relationship between the humidity data in each monitoring area and the humidity standard threshold is preferentially compared. If the humidity data does not exceed the humidity standard threshold, the anti-condensation dehumidification task will not be performed. If the humidity data exceeds the humidity standard threshold, the warning state is entered, and the corresponding intelligent adjustment device is selected according to the priority, and step S322 is executed.

[0045] S322. Compare the relationship between the light radiation data in each monitoring area and the light radiation standard threshold. If the light radiation data is within the light radiation standard threshold range, control the light radiation technology energy-saving dehumidification device to perform the anti-condensation dehumidification task and execute step S323. If the light radiation data does not meet the light radiation standard threshold range, control other intelligent adjustment devices to perform the anti-condensation dehumidification task and execute step S324.

[0046] S323. After the optical radiation technology energy-saving dehumidification device participates in the anti-condensation dehumidification task, if the humidity data in the monitoring area exceeds the upper limit of the humidity standard threshold, the condensing dehumidifier is started to realize linkage and reduce the indoor humidity of the distribution room. If the temperature data in the monitoring area exceeds the temperature standard threshold, the air conditioner is started to realize linkage and adjust the indoor temperature. If the air flow rate data in the monitoring area does not meet the flow rate standard threshold, the fan is started to realize linkage and adjust the indoor air flow rate.

[0047] S324. Disable the energy-saving dehumidification device using optical radiation technology, start the condensing dehumidifier, and reduce the indoor humidity in the power distribution room. If the temperature data in the monitoring area exceeds the temperature standard threshold, start the air conditioner to achieve linkage and adjust the indoor temperature. If the air flow rate data in the monitoring area does not meet the flow rate standard threshold, start the fan to achieve linkage and adjust the indoor air flow rate.

[0048] Specifically, the execution logic and operation steps of the above step S32 can be summarized as follows: 1. Humidity warning judgment (S321) Logic: According to the monitoring area divided by the digital model, compare the current humidity data with the humidity standard threshold to determine whether dehumidification tasks are needed.

[0049] Operation: If the humidity data does not exceed the standard threshold (for example, the threshold is 60% and the current humidity is 55%), the device does not operate; if the humidity data exceeds the standard threshold (for example, the threshold is 60% and the current humidity is 65%), it enters the warning state and gives priority to efficient intelligent adjustment equipment.

[0050] 2. Light radiation data judgment (S322) Logic: Determine whether the light radiation technology energy-saving dehumidification device is suitable for operation under current environmental conditions.

[0051] Operation: If the light radiation data is within the standard threshold range (for example, the threshold is 30~70%, and the current value is 50%), the light radiation dehumidification device is controlled to work; if the light radiation data exceeds the range (for example, the threshold is 30~70%, and the current value is 80%), turn to other equipment (such as condensing dehumidifier or air conditioner).

[0052] 3. Optical radiation device linkage (S323) Logic: If the optical radiation device is activated but the humidity, temperature or flow rate is still abnormal, other devices will be linked to assist in operation.

[0053] Operation: If the humidity exceeds the upper limit (such as more than 80%), start the condensing dehumidifier to further reduce the humidity; if the temperature exceeds the threshold (such as more than 35°C), start the air conditioner to adjust the temperature; if the flow rate is insufficient (such as less than 1m / s), start the fan to improve the air circulation efficiency.

[0054] 4. Other equipment operation (S324) Logic: When the light radiation device is not applicable, directly start other equipment (condensing dehumidifier, air conditioner, fan) to adjust the environment.

[0055] Operation: Disable the light radiation device and start the condensing dehumidifier to reduce humidity; if the temperature exceeds the standard, activate the air conditioner for adjustment; if the flow rate is insufficient, activate the fan to optimize air circulation.

[0056] Examples Scenario 1: Humidity exceeds the limit, but light radiation is acceptable.

[0057] The current humidity in the area is 70% (higher than the 60% threshold), and the system enters a warning state. The light radiation data is 50% (within the range of 30-70%), and the light radiation energy-saving dehumidification device is started. As the humidity drops to 58%, the equipment automatically shuts down.

[0058] Scenario 2: Humidity and temperature exceed the limit and light radiation is not applicable.

[0059] The current humidity is 75% (higher than the 60% threshold), the temperature is 38°C (higher than the 35°C threshold), and the light radiation data is 80% (outside the threshold range); the light radiation device is unavailable, the condensing dehumidifier is started to reduce the humidity, and the air conditioner is started to reduce the temperature; after another test, the humidity drops to 62% and the temperature drops to 34°C. The equipment is shut down after meeting the standards.

[0060] Scenario 3: Insufficient air flow rate after the light radiation device is in operation.

[0061] The light radiation data is 40% and the humidity is 65%, so the light radiation energy-saving dehumidification device is started; the humidity drops to 58%, but the flow rate is 0.5m / s (lower than the 1m / s threshold), so the fan is started; after the fan is running, the flow rate increases to 1.2m / s, and finally meets the standard.

[0062] The core of the entire process is to compare real-time monitoring data with thresholds, call different devices according to priority, ensure that the anti-condensation and dehumidification tasks are completed using the equipment with the lowest energy consumption, and at the same time link other equipment to optimize the effects, so as to achieve dynamic control of the environment in the distribution room and energy-saving and efficient operation.

[0063] S33. Obtain the judgment result of the environmental data, mark the monitoring area that exceeds the standard threshold, and mark the abnormal level of the monitoring area according to the amount of environmental data that exceeds the standard threshold.

[0064] Specifically, Compare environmental data with standard thresholds and set standard threshold ranges for various types of environmental data, for example: Humidity threshold: 30%~60%; Temperature threshold: 15°C~35°C; Light radiation threshold: 30%~70%; Flow rate threshold: 1m / s~3m / s.

[0065] Compare the environmental data in each monitoring area with the corresponding thresholds one by one to determine whether the data exceeds the range. Record the type of data and the extent of each exceeding standard, and generate an exceeding standard information table, for example: Area A: Humidity = 70% (exceeding the standard by +10%), temperature = 36°C (exceeding the standard by +1°C); Area B: Humidity = 55% (normal), Temperature = 32°C (normal).

[0066] According to the number of exceeding data in each monitoring area, the abnormal level is divided into multiple levels, for example: No abnormality (level 0): no data exceeds the standard; Slight abnormality (level 1): the number of data exceeding the standard = 1; Moderate abnormality (level 2): ​​the number of data exceeding the standard = 2; Severe abnormality (Level 3): The number of data exceeding the standard is ≥ 3.

[0067] Through the spatial and temporal distribution of the digital model, the abnormal level of each monitoring area is marked; the status of the area is intuitively displayed using color or other marking methods: No abnormality: green; Slightly abnormal: yellow; Moderate abnormality: orange; Severe abnormality: red.

[0068] S4. Real-time monitoring of temperature and humidity changes during the dehumidification process in the distribution room, setting the optimal equipment energy efficiency and dehumidification performance as the optimization target, creating an energy-saving control model, adjusting the control parameters of different intelligent control equipment in each monitoring area, and optimizing the execution effect of anti-condensation dehumidification tasks.

[0069] In the description of the present invention, real-time monitoring of temperature and humidity changes during the dehumidification process of the power distribution room, setting the optimal equipment energy efficiency and dehumidification performance as the optimization target, creating an energy-saving control model, adjusting the control parameters of different intelligent adjustment devices in each monitoring area, and optimizing the execution effect of the anti-condensation dehumidification task include the following steps: S41. Set a sampling frequency, regularly obtain environmental data and device status data during the execution of the anti-condensation and dehumidification task by the intelligent regulating device, and combine the timestamp information to form a time series.

[0070] S42. Set input variables and output variables, maximize the humidity reduction rate under unit power consumption as the optimal equipment energy efficiency, maximize the humidity reduction effect in the distribution room as the optimal dehumidification performance, and establish an energy-saving control model for intelligent adjustment equipment to perform anti-condensation dehumidification tasks.

[0071] In the description of the present invention, input variables and output variables are set, the humidity reduction rate under unit power consumption is maximized and set as the optimal equipment energy efficiency, the humidity reduction effect in the power distribution room is maximized and set as the optimal dehumidification performance, and the energy-saving control model for the intelligent adjustment equipment to perform the anti-condensation dehumidification task is established, which includes the following steps: S421. Set the humidity data, temperature data, air flow rate data, light radiation data and real-time power consumption of the intelligent adjustment equipment in the distribution room as input variables, and set the equipment energy efficiency, humidity change rate and total energy consumption as output variables.

[0072] S422. Taking maximizing the humidity reduction rate under unit power consumption and maximizing the humidity reduction effect in the distribution room as optimization goals, establish the objective function of the anti-condensation and dehumidification task in the distribution room, and independently calculate the sub-objective functions of the local equipment energy consumption and humidity reduction effect according to the monitoring area.

[0073] In the description of the present invention, the expression of the objective function is: In the formula, Maximsze represents the objective function; Δ RH Indicates the rate of change of humidity; Pi Indicates i Real-time power consumption of intelligently regulated devices; N Indicates the number of intelligent adjustment devices; w 1. w 2 represents the weight coefficient.

[0074] S423. Based on the historical operation data of various types of intelligent regulating equipment, a mathematical model between the energy consumption of the intelligent regulating equipment and the humidity reduction rate is established. According to the pre-set dehumidification task standard of the distribution room, the constraint conditions of the anti-condensation dehumidification task are set, and the energy-saving regulation model of the distribution room is constructed in an integrated manner.

[0075] S43. Use the distributed particle swarm optimization algorithm to solve the energy-saving control model, output the optimal control strategy, and adjust and optimize the control parameters of the intelligent control equipment according to the optimal control strategy.

[0076] Specifically, the distributed particle swarm optimization algorithm (PSODE algorithm) is an optimization algorithm that combines the particle swarm optimization algorithm (PSO) with the differential evolution algorithm (DE). It is mainly used to solve the global optimization needs in complex problems, especially multi-objective optimization problems.

[0077] PSO (particle swarm optimization algorithm) simulates the behavior of bird flocks foraging and uses multiple "particles" to move in the search space to find the optimal solution. It has the advantages of being simple, easy to implement, and fast in calculation, and is suitable for continuous optimization problems. However, it is easy to fall into local optimality, especially in complex and multi-peak function optimization problems.

[0078] DE (Differential Evolution Algorithm) is an evolutionary strategy based on populations, which uses the differential vectors between individuals in the population to generate new solutions. It has strong global search capabilities and performs well for discrete and complex optimization problems. However, it has a slow convergence speed and may have high computational complexity in high-dimensional space optimization problems.

[0079] Therefore, the fast convergence characteristics of PSO are combined with the global search ability of DE, and the mutation, crossover and selection mechanisms of DE are introduced into the particle search strategy of PSO to enhance the diversity of the population, avoid falling into the local optimum, and improve the convergence speed.

[0080] In complex multi-objective optimization problems, PSO particles tend to concentrate in some local areas of the search space, resulting in the inability to find the global optimal solution. The introduction of DE mutation operation can break this "stagnation" state, and by generating new individual positions, the search range is wider and the global search capability is improved.

[0081] In the present invention, the energy-saving control model usually involves multiple objectives (such as humidity reduction effect and energy efficiency). PSODE can weigh the relationship between multiple objectives through the global search capability of DE. The environmental data of the distribution room changes dynamically, and the relationship between the equipment control parameters and the environmental data is complex and nonlinear. PSODE can effectively handle this nonlinear constraint problem. The optimization objective function in the energy-saving control model may have multiple local optimal solutions. PSODE broadens the search range through the mutation mechanism of DE, which helps to find the global optimal solution.

[0082] In the description of the present invention, the distributed particle swarm optimization algorithm is used to solve the energy-saving control model, and the optimal control strategy is output. The control parameters of the intelligent control device are adjusted and optimized according to the optimal control strategy, including the following steps: S431. Initialize a particle swarm based on the environmental data and equipment status data collected in real time from each monitoring area in the power distribution room. Each particle represents a type of data combination. Randomly select n particles from the particle swarm and divide them into particle groups and difference groups on average. The two groups of particles are distributed in different areas.

[0083] S432, setting the parameters of the particle swarm optimization algorithm and the differential evolution algorithm, calculating the fitness value of the current individual particle, and finding the optimal individual particle in the particle group and the differential group, marking them as the optimal individual particle and the optimal differential individual, respectively.

[0084] S433, selecting the best particle individual from the best particle individual and the best difference individual. If the number of iterations reaches the maximum value, stop the operation and use the best particle individual as the best control strategy. If the number of iterations does not reach the maximum value, execute step S434.

[0085] S434. Use the best particle individual among the best particle individual and the best difference individual to replace the best particle individual in the particle group and the difference group, so as to generate a new generation of particle group and difference group.

[0086] S435, using a particle swarm optimization algorithm to update the position and speed of individual particles in the particle group, using a differential evolution algorithm to hybridize and select individuals in the differential group, and updating the differential group.

[0087] S436. During the iteration process, determine whether there is stagnation among the individuals in the group. If so, use the position update formula to mutate the individuals and obtain the latest positions of the individuals.

[0088] S437. Return to execute step S432 until the iteration ends.

[0089] In the description of the present invention, the location update formula is: In the formula, express t +1 individual in iteration k location; A min represents the best position for individual search; A max - A min Indicates the boundary range within which the search is allowed; rand (0, 1) represents a random number generated in the interval [0, 1].

[0090] S5. Real-time monitoring of the dehumidification effect and equipment status data of each monitoring area in the distribution room. When there is equipment failure or abnormal operation, fault warning and maintenance response are triggered.

[0091] Specifically, by equipping each device with a status detection module, the data is aggregated to the central control platform through the communication gateway. Real-time monitoring of the operating status data of the intelligent regulation equipment (power, start and stop status, operating time). Fault detection parameters (such as current overload, voltage abnormality, and high temperature).

[0092] Compare environmental data (humidity, temperature, etc.) with preset standard thresholds in real time. If the humidity value does not drop to the target range, determine that the dehumidification effect in the current area is abnormal. Determine whether the equipment parameters exceed the operating range (such as power overload, current is too high). Detect whether the equipment operating status deviates from normal operating conditions (such as insufficient output power, frequent equipment start and stop).

[0093] To sum up, with the help of the above-mentioned technical scheme of the present invention, a major breakthrough in the environmental control in the distribution room has been achieved by integrating the energy-saving dehumidification device using light radiation technology and the dynamic environment control system; not only the temperature and humidity changes are accurately grasped through distributed lifting and intelligent adjustment, but also the equipment is intelligently adjusted according to actual needs to ensure that the environmental data is maintained within the ideal range and achieve precise control; at the same time, the dynamic environment control system can respond to changes in environmental data in real time, quickly trigger the execution equipment, and significantly enhance the environmental response speed; in addition, the comprehensive application of energy-saving dehumidification devices using light radiation technology, fans, condensing dehumidifiers and other high-efficiency equipment, combined with intelligent closed-loop control, greatly improves the cooling and dehumidification effect in the distribution room, and provides a more stable and reliable environmental protection for the distribution equipment; therefore, the present invention effectively improves the intelligence and efficiency of the environmental control of the distribution room, and ensures the safe and stable operation of the power system. By dividing the monitoring area and deploying environmental monitoring sensors and intelligent adjustment equipment, combined with the Internet of Things and node communication technology, it is possible to monitor and accurately identify abnormal areas in real time, dynamically control the coordinated operation of multiple intelligent adjustment equipment, and achieve efficient, anti-condensation dehumidification; at the same time, based on the energy-saving control model, optimize the equipment operation parameters, aiming at the optimal energy efficiency and dehumidification performance, and effectively reduce energy consumption; in addition, through real-time fault monitoring and maintenance response, the safety and reliability of equipment operation are ensured. The overall solution has a high degree of intelligence and significant energy-saving effect, which can meet the anti-condensation dehumidification needs in the complex environment of the distribution room.

[0094] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

Claims

1. A method for preventing condensation and dehumidification in a power distribution room using a light radiation technology energy-saving dehumidification device, characterized in that: The method comprises the following steps: S1. Divide the power distribution room into several monitoring areas, install environmental monitoring sensors and intelligent adjustment equipment in the monitoring areas, configure communication gateways, and build a local communication network; S2. Based on the Internet of Things and node communication technology, a dynamic environment control system integrating distributed environmental monitoring sensors and intelligent adjustment equipment is constructed to monitor and collect environmental data and equipment status data of each monitoring area in the power distribution room in real time, and establish a digital model containing spatiotemporal characteristics; S3. Based on the preset dehumidification task standard of the power distribution room, compare the environmental data currently monitored, identify the monitoring area with abnormalities, and control the intelligent adjustment equipment to perform the anti-condensation dehumidification task; S4. Real-time monitoring of temperature and humidity changes during the dehumidification process of the power distribution room, setting the optimal equipment energy efficiency and dehumidification performance as the optimization target, creating an energy-saving control model, adjusting the control parameters of different intelligent control equipment in each monitoring area, and optimizing the execution effect of the anti-condensation dehumidification task; S5. Real-time monitoring of the dehumidification effect and equipment status data of each monitoring area in the power distribution room. When there is equipment failure or abnormal operation, fault warning and maintenance response are triggered; Wherein, step S4 comprises the following steps: S41. Set a sampling frequency to regularly obtain environmental data and device status data of the intelligent regulating device during the execution of the anti-condensation and dehumidification task, and combine the timestamp information to form a time series; S42, setting input variables and output variables, maximizing the humidity reduction rate under unit power consumption as the optimal equipment energy efficiency, maximizing the humidity reduction effect in the power distribution room as the optimal dehumidification performance, and establishing an energy-saving control model for the intelligent adjustment equipment to perform anti-condensation dehumidification tasks; S43. Solve the energy-saving control model using a distributed particle swarm optimization algorithm, output an optimal control strategy, and adjust and optimize the control parameters of the intelligent control device according to the optimal control strategy.

2. According to claim 1, a method for preventing condensation and dehumidification in a power distribution room using a light radiation technology energy-saving dehumidification device is characterized in that: Step S1 includes the following steps: S11. Based on the spatial layout of the power distribution room, the density of electromechanical equipment and the dehumidification requirements of the equipment, the power distribution room is divided into different types of monitoring areas, and the monitoring areas include a main machine room area, an auxiliary area, a regulating equipment area and a monitoring area; S12, distributing and installing environmental monitoring sensors in the monitoring area to ensure that the monitoring range covers the entire space of the power distribution room, and the environmental monitoring sensors include temperature sensors, humidity sensors, light radiation sensors, air flow rate sensors and energy consumption sensors; S13, installing intelligent adjustment equipment at corresponding positions in the monitoring area, wherein the intelligent adjustment equipment includes a light radiation technology energy-saving dehumidification device, a fan, an air conditioner and a condensing dehumidifier; S14, setting the environmental monitoring sensor as a communication node, configuring a communication gateway in the monitoring area, configuring the communication protocol, building a local communication network, and using the communication gateway to perform data aggregation and command forwarding to achieve collaborative work of each of the intelligent adjustment devices.

3. The anti-condensation dehumidification method for a power distribution room using a light radiation technology energy-saving dehumidification device according to claim 1 is characterized in that: Step S2 includes the following steps: S21. Based on the Internet of Things and node communication technology, build a multi-layer integrated Internet of Things architecture to form a dynamic environment control system to manage environmental monitoring sensors and intelligent adjustment equipment; S22, using environmental monitoring sensors to collect environmental data of each monitoring area in real time, the environmental data including temperature data, humidity data, light radiation data, air flow rate data and equipment energy consumption data, and monitoring equipment status data fed back during the operation of the intelligent regulating equipment; S23, performing data preprocessing on the collected environmental data and device status data, and integrating the environmental data into a multidimensional spatiotemporal data set based on timestamp and spatial location information; S24. Establish a digital model according to the spatial layout of the power distribution room, map the spatiotemporal data set into the three-dimensional space of the digital model, and generate a visualization model that dynamically displays changes in environmental data.

4. The anti-condensation dehumidification method for a power distribution room using a light radiation technology energy-saving dehumidification device according to claim 3 is characterized in that: The dynamic environment control system includes a perception layer, a network layer, an application layer and a response layer; wherein the perception layer includes distributed environmental monitoring sensors for real-time collection of environmental data, the network layer includes a local area communication network established by a communication gateway, the application layer includes a dynamic environment control center for data processing, equipment control, three-dimensional modeling and visualization, and the response layer includes a number of intelligent adjustment devices.

5. The anti-condensation dehumidification method for a power distribution room using a light radiation technology energy-saving dehumidification device according to claim 1 is characterized in that: Step S3 includes the following steps: S31. Based on the actual operation requirements and equipment performance of the power distribution room, set the standard thresholds for various types of environmental data, and combine the hierarchical response of the intelligent adjustment equipment to establish the dehumidification task standards for the power distribution room; S32, based on the spatiotemporal distribution of the digital model, comparing the environmental data collected in real time with the corresponding standard threshold, judging whether the intelligent adjustment device meets the execution conditions, and selecting to call the corresponding intelligent adjustment device to perform the anti-condensation dehumidification task; S33. Obtain the judgment result of the environmental data, mark the monitoring area that exceeds the standard threshold, and mark the abnormal level of the monitoring area according to the amount of environmental data that exceeds the standard threshold.

6. The anti-condensation dehumidification method for a power distribution room using a light radiation technology energy-saving dehumidification device according to claim 5, characterized in that: Step S32 includes the following steps: S321. According to the spatial distribution of the digital model, the relationship between the humidity data in each monitoring area and the humidity standard threshold is preferentially compared. If the humidity data does not exceed the humidity standard threshold, the anti-condensation dehumidification task is not performed. If the humidity data exceeds the humidity standard threshold, the warning state is entered, and the corresponding intelligent adjustment device is selected according to the priority, and step S322 is executed; S322, comparing the relationship between the light radiation data in each monitoring area and the light radiation standard threshold value, if the light radiation data is within the light radiation standard threshold range, then controlling the light radiation technology energy-saving dehumidification device to perform the anti-condensation dehumidification task, and executing step S323; if the light radiation data does not meet the light radiation standard threshold range, then controlling other intelligent adjustment devices to perform the anti-condensation dehumidification task, and executing step S324; S323. After the light radiation technology energy-saving dehumidification device participates in the anti-condensation dehumidification task, if the humidity data in the monitoring area exceeds the upper limit of the humidity standard threshold, the condensing dehumidifier is started to realize linkage and reduce the indoor humidity of the power distribution room. If the temperature data in the monitoring area exceeds the temperature standard threshold, the air conditioner is started to realize linkage and adjust the indoor temperature. If the air flow rate data in the monitoring area does not meet the flow rate standard threshold, the fan is started to realize linkage and adjust the indoor air flow rate. S324. Disable the energy-saving dehumidification device using optical radiation technology, start the condensing dehumidifier, and reduce the indoor humidity in the power distribution room. If the temperature data in the monitoring area exceeds the temperature standard threshold, start the air conditioner to achieve linkage and adjust the indoor temperature. If the air flow rate data in the monitoring area does not meet the flow rate standard threshold, start the fan to achieve linkage and adjust the indoor air flow rate.

7. The anti-condensation dehumidification method for a power distribution room using a light radiation technology energy-saving dehumidification device according to claim 6 is characterized in that: Step S42 includes the following steps: S421, setting the humidity data, temperature data, air flow rate data, light radiation data and real-time power consumption of the intelligent adjustment equipment in the power distribution room as input variables, and setting the equipment energy efficiency, humidity change rate and total energy consumption as output variables; S422, taking the maximization of the humidity reduction rate under unit power consumption and the maximization of the humidity reduction effect in the power distribution room as the optimization goals, establishing the objective function of the anti-condensation and dehumidification task of the power distribution room, and independently calculating the sub-objective functions of the local equipment energy consumption and humidity reduction effect according to the monitoring area; S423. Based on the historical operation data of various types of intelligent regulating equipment, a mathematical model between the energy consumption of the intelligent regulating equipment and the humidity reduction rate is established. According to the pre-set dehumidification task standard of the distribution room, the constraint conditions of the anti-condensation dehumidification task are set, and the energy-saving regulation model of the distribution room is constructed in an integrated manner.

8. The anti-condensation dehumidification method for a power distribution room using a light radiation technology energy-saving dehumidification device according to claim 7, characterized in that: The expression of the objective function is: In the formula, Maximsze J represents the objective function; Δ RH Indicates the rate of change of humidity; Pi Indicates i Real-time power consumption of intelligently regulated devices; N Indicates the number of intelligent adjustment devices; w 1. w 2 represents the weight coefficient.

9. The anti-condensation dehumidification method for a power distribution room using a light radiation technology energy-saving dehumidification device according to claim 7, characterized in that: Step S43 includes the following steps: S431, based on the environmental data and equipment status data collected in real time in each monitoring area in the power distribution room, initialize the particle swarm, each particle represents a type of data combination, randomly select n particles from the particle swarm, evenly divide them into a particle group and a difference group, and distribute the two groups of particles in different areas; S432, setting the parameters of the particle swarm optimization algorithm and the differential evolution algorithm, calculating the fitness value of the current individual particle, and finding the optimal individual particle in the particle group and the differential group, marking them as the optimal individual particle and the optimal differential individual respectively; S433, selecting the best particle individual from the best particle individual and the best difference individual, if the number of iterations reaches the maximum value, stop the operation, and use the best particle individual as the best control strategy, if the iteration does not reach the maximum value, execute step S434; S434, using the best particle individual among the best particle individual and the best difference individual to replace the best particle individual in the particle group and the difference group, to generate a new generation of particle group and difference group; S435, using a particle swarm optimization algorithm to update the position and speed of individual particles in the particle group, using a differential evolution algorithm to hybridize and select individuals in the differential group, and updating the differential group; S436. During the iteration process, determine whether there is stagnation in the individuals in the group. If so, use the position update formula to mutate the individuals and obtain the latest positions of the individuals. S437. Return to execute step S432 until the iteration ends.

10. The anti-condensation dehumidification method for a power distribution room using a light radiation technology energy-saving dehumidification device according to claim 9, characterized in that: The position update formula is: In the formula, express t +1 individual in iteration k location; A min represents the best position for individual search; A max - A min Indicates the boundary range within which the search is allowed; rand (0, 1) represents a random number generated in the interval [0, 1].

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