Temperature and humidity control system of high-voltage switch cabinet

Abstract

The invention discloses a high-voltage switch cabinet temperature and humidity control system, which comprises a switch cabinet body, a heating device, a dehumidification device, a ventilation device, a refrigeration device, a multi-type sensor, a display module, an early warning module and a controller, and is characterized in that the multi-type sensor comprises a high-precision temperature and humidity sensor and an infrared temperature sensor; the plurality of high-precision temperature and humidity sensors are uniformly arranged at different positions in the cabinet body, a data fusion algorithm is built in the controller, the temperature and humidity detection precision is improved by performing weighted average or Kalman filtering and other processing on data of the plurality of temperature and humidity sensors, a preset control strategy is built in the controller, and the working state of equipment is automatically adjusted, so that the temperature and humidity detection precision is improved. The energy is saved, moderate temperature and humidity are ensured, and the plurality of infrared temperature sensors are arranged at key parts in the cabinet body to monitor the temperature of parts which are easy to generate heat accumulation; the system has the advantages of being high in temperature and humidity control accuracy, comprehensive in monitoring, high in temperature and humidity control comprehensive processing capacity and complete in early warning function.

Description

Technical Field

[0001] The invention belongs to the technical field of temperature and humidity control of high-voltage switch cabinets, and in particular relates to a temperature and humidity control system for a high-voltage switch cabinet. Background Art

[0002] High-voltage switchgear is mainly used in high-voltage power systems (voltage level is above AC1000V), and plays the role of effectively controlling high-voltage circuits, providing protection for equipment and lines in high-voltage systems, and real-time monitoring of high-voltage circuit operating parameters. The main types include KYN28A-12 center cabinet, XGN2-12 fixed cabinet, XGN15-12 load switch cabinet, etc.

[0003] During operation, mechanical looseness of the separation and combination parts in the high-voltage switchgear, wear of the connection contacts, surface oxidation of the contacts and aging of the equipment will lead to an increase in the contact resistance of the connection parts or contact parts. Long-term operation under high voltage, high current and full load conditions will intensify the heat accumulation, which can easily lead to an increase in the temperature inside the cabinet. If not handled in time, local welding, sparks or arc discharges will occur, which will eventually cause damage to the electrical equipment and even serious power supply accidents such as fire and explosion. In addition, the internal space of the high-voltage switchgear is relatively compact, and moisture and condensation in the cabinet may cause crawling, flashover and other accidents in the switchgear. Once a power supply accident occurs, production cannot be resumed in a short time, resulting in significant economic losses. Therefore, temperature and humidity control is very important during the operation of the high-voltage switchgear.

[0004] The existing high-voltage switchgear temperature and humidity control is generally equipped with temperature and humidity sensors, heating devices and dehumidification devices. When the temperature and humidity sensors detect that the temperature and / or humidity exceed the standard, the heating device and / or dehumidification device are started to achieve temperature and humidity control in the cabinet. The comprehensive processing capacity is relatively low, and it almost entirely depends on the detection accuracy of the temperature and humidity sensors. There are problems such as low accuracy of temperature and humidity control due to detection accuracy deviation, incomplete monitoring, and imperfect early warning functions. In order to solve the above problems, it is necessary to develop a high-voltage switchgear temperature and humidity control system. Summary of the invention

[0005] The purpose of the present invention is to overcome the deficiencies of the prior art and to provide a high-voltage switch cabinet temperature and humidity control system with high temperature and humidity control accuracy, comprehensive monitoring, strong comprehensive processing capability of temperature and humidity control, and perfect early warning function.

[0006] The object of the present invention is achieved as follows: A high-voltage switch cabinet temperature and humidity control system, comprising a switch cabinet body, a heating device, a dehumidification device, a ventilation device, a refrigeration device, a display module, an early warning module and a controller, and also comprising multiple types of sensors, the multiple types of sensors comprising a high-precision temperature and humidity sensor and an infrared temperature sensor, a plurality of the high-precision temperature and humidity sensors are evenly arranged at different positions in the switch cabinet body, and a plurality of the infrared temperature sensors are arranged at key positions in the switch cabinet body;

[0007] The controller has a built-in data fusion algorithm, and the multiple high-precision temperature and humidity sensors simultaneously detect the temperature and humidity in the switch cabinet body in real time and send the results to the controller. The controller calculates the real-time temperature and humidity in the switch cabinet body through the data fusion algorithm. The controller automatically controls the operation of the heating device, the dehumidification device, the ventilation device and the refrigeration device through the real-time temperature and humidity results.

[0008] The plurality of infrared temperature sensors simultaneously detect the temperature of key parts of the switch cabinet body in real time and send the temperature to the controller. The controller automatically controls the operation of the heating device, the dehumidifying device, the ventilation device and the refrigeration device according to the real-time temperature detection result.

[0009] The controller has a built-in preset control strategy, and the controller automatically controls the operation of the heating device, the dehumidification device, the ventilation device and the refrigeration device according to the preset control strategy;

[0010] When the controller analyzes and determines that the temperature and humidity in the switch cabinet body exceed the preset threshold value, an alarm signal is sent out through the early warning module and copied to the relevant person in charge.

[0011] Preferably, the preset control strategy includes an adaptive control strategy and a hierarchical control strategy. The adaptive control strategy is to formulate different preset control strategies according to different seasons, load changes and natural ventilation conditions. The hierarchical control strategy is to first set different levels of temperature and humidity warning values, and then formulate different preset control strategies according to the different levels of temperature and humidity warning values. The controller displays the current preset control strategy in the switch cabinet body through the display module.

[0012] Preferably, the high-precision temperature and humidity sensors include high-precision temperature and humidity sensors of different brands and with different detection principles.

[0013] Preferably, the key parts are contacts, operating mechanisms, busbars, current transformers, voltage transformers, cable connections, grounding switches and lightning arresters in the switch cabinet body.

[0014] Preferably, the data fusion algorithm includes weighted averaging method, Kalman filtering method, Bayesian estimation method and neural network method.

[0015] Preferably, the calculation principle of the weighted average method is: first, a weight coefficient is assigned to each sensor, the size of the weight is determined according to the accuracy and reliability factors of the sensor, and then the measurement values ​​of each sensor are multiplied by the corresponding weight coefficients and the sum is divided by the sum of the weight coefficients to obtain the fused measurement value.

[0016] Preferably, the calculation principle of the Kalman filtering method is: using the estimated value at the previous moment and the measured value at the current moment to update the estimate of the temperature and humidity state variables, and its basic equations include a state prediction equation and a measurement update equation. The state prediction equation is used to predict the current state based on the dynamic model of the system, and the measurement update equation corrects the predicted temperature and humidity state based on the current measured value.

[0017] Preferably, the calculation principle of the Bayesian estimation method is: to calculate the posterior probability distribution through the prior probability distribution and the likelihood function, so as to obtain the optimal estimate of temperature and humidity.

[0018] Preferably, the calculation principle of the neural network method is: construct a neural network, take the measurement values ​​of each sensor as input, and output the fused temperature and humidity estimation values ​​after processing and learning by neurons. The neural network can automatically learn the complex relationship between sensor data and adapt to different measurement environments and sensor characteristics.

[0019] Due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0020] (1) The present invention adopts multiple high-precision temperature and humidity sensors and their data fusion algorithm, which greatly improves the temperature and humidity detection accuracy in the cabinet. The present invention adopts multiple infrared temperature sensors to strengthen the detection and monitoring of key parts. At the same time, it combines heating devices, dehumidification devices, ventilation devices and refrigeration devices to effectively improve the temperature and humidity control accuracy in the cabinet, and solves the problem that the existing technology almost entirely relies on the detection accuracy of temperature and humidity sensors, and there is a problem of low temperature and humidity control accuracy and incomplete monitoring due to detection accuracy deviation;

[0021] (2) The present invention adopts a heating device, a dehumidifying device, a ventilation device and a refrigeration device to enhance the comprehensive processing capability of the temperature and humidity control in the cabinet. At the same time, the present invention adopts a preset control strategy, which can actively and automatically adjust the temperature and humidity in the cabinet according to different preset control strategies according to the actual working conditions of the high-voltage switch cabinet, thereby saving energy and further improving the comprehensive processing capability;

[0022] (3) The present invention uses a display module and an early warning module. The display module provides an intuitive viewing function, and the early warning module provides an automatic alarm function, and sends the alarm information to the relevant person in charge in a timely manner to remind him to troubleshoot in time to avoid safety accidents;

[0023] In general, the present invention has the advantages of high temperature and humidity control accuracy, comprehensive monitoring, strong temperature and humidity control comprehensive processing capability and perfect early warning function. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a schematic diagram of the system composition of the present invention. DETAILED DESCRIPTION

[0025] The technical solution of the present invention is further specifically described below through embodiments and in conjunction with the accompanying drawings.

[0026] like Figure 1 As shown, the present invention provides a high-voltage switch cabinet temperature and humidity control system, including a switch cabinet body, a heating device, a dehumidification device, a ventilation device, a refrigeration device, multiple types of sensors, a display module, an early warning module and a controller. The multiple types of sensors include high-precision temperature and humidity sensors and infrared temperature sensors, which are used to collect the temperature and humidity of various positions in the switch cabinet body and the temperature of key parts in real time, so as to facilitate the implementation of comprehensive monitoring; multiple high-precision temperature and humidity sensors are evenly arranged at different positions in the switch cabinet body, and are used to collect the temperature and humidity in the switch cabinet body in all directions and in real time, so as to achieve good collection effect, thereby achieving good subsequent detection effect, and further achieving good subsequent temperature and humidity control effect; multiple infrared temperature sensors are arranged at key positions in the switch cabinet body, and are used to collect heat in real time in the switch cabinet body, so as to avoid the failure to timely discover the temperature abnormality of these parts, which may cause serious faults.

[0027] The high-precision temperature and humidity sensor adopts a plurality of high-precision temperature and humidity sensors of different brands and different detection principles to improve the acquisition accuracy from the source, so as to reduce the influence of the acquisition accuracy deviation caused by the sensors of a single number, a single brand and a single detection principle.

[0028] The key parts are contacts, operating mechanisms, busbars, current transformers, voltage transformers, cable connections, grounding switches and lightning arresters, etc. For example, an arc will be generated between the moving and static contacts of a circuit breaker. The generation of an arc will cause the temperature of the contacts to rise sharply. If the temperature is too high, it may affect the normal operation of the circuit breaker or even cause a malfunction. Therefore, the contact part of the circuit breaker is a key monitoring part. Another example is the operating structure of a circuit breaker. Its abnormal operation or jamming may cause the circuit breaker to fail to open and close normally. Its internal mechanical parts will also generate heat during operation. Abnormal temperature changes can reflect potential problems with the operating mechanism. Therefore, the operating mechanism of the circuit breaker is also a key monitoring part.

[0029] The heating device, dehumidification device, ventilation device and refrigeration device are used in coordination with each other under the unified control of the controller to control the temperature and humidity in the high-voltage switch cabinet in a linked manner, which can avoid the problems of untimely regulation and control effect and slow regulation speed that may exist in a single control method, thereby enhancing the comprehensive processing capacity of temperature and humidity control. Commonly, when the humidity exceeds the set value, the heating device is started to reduce the relative humidity by heating the air to prevent the occurrence of condensation. At the same time, the dehumidification device, such as a semiconductor dehumidifier, is started to remove moisture from the air by using the thermoelectric effect of semiconductor materials. At the same time, the ventilation device can also be started to discharge the humid air to the outside of the high-voltage switch cabinet by using air flow; when the temperature exceeds the set value, the refrigeration device is started to quickly reduce the temperature in the cabinet, and at the same time, the ventilation device is started to assist the refrigeration device to quickly discharge the hot air out of the cabinet to achieve the purpose of rapid cooling; in some special cases, when the temperature of the high-voltage switch cabinet is too low and is not conducive to its normal operation, the heating device can be started to improve the temperature in the cabinet; the above measures are used to comprehensively ensure the normal working state of the high-voltage switch cabinet.

[0030] The controller has built-in data fusion algorithm and preset control strategy.

[0031] 1. The data fusion algorithm can process the data of multiple temperature and humidity sensors to improve the detection accuracy, and can adopt weighted average method, Kalman filtering method, Bayesian estimation method and neural network method.

[0032] 1. The calculation principle of the weighted average method is: first, a weight coefficient is assigned to each sensor, and the size of the weight is determined according to the accuracy and reliability factors of the sensor. Then, the measurement values ​​of each sensor are multiplied by the corresponding weight coefficients and the sum is divided by the sum of the weight coefficients to obtain the fused measurement value.

[0033] Assume there are three temperature and humidity sensors, the temperature measurement values ​​are T1, T2 and T3, and the corresponding weight coefficients are ω1, ω2 and ω3, then the fused temperature value is

[0034] Among them, the weight coefficient is determined according to the sensor accuracy as follows:

[0035] (1) Accuracy assessment: Before use, perform accuracy tests on temperature and humidity sensors of different brands and principles using standard calibration equipment. For example, place the sensor in an environmental chamber with known temperature and humidity, and compare the deviation between the sensor's measured value and the true value set in the environmental chamber. Sensors with high accuracy have a small deviation between their measured value and the true value, and should be given a higher weight during data fusion.

[0036] (2) Specific assignment method: Assume that the average error of sensor A is found to be ±1°C and the average error of sensor B is ±2°C through calibration. The weight can be determined based on the inverse of the error. Let the weight of sensor A be ω A , the weight of sensor B is ω B ,but

[0037] Among them, the weight coefficient is determined according to the sensor reliability as follows:

[0038] (1) Reliability evaluation factors:

[0039] Stability: Observe the output stability of the sensor during long-term operation, such as continuously recording the output data of the sensor within a week. Sensors with small data fluctuations are more stable and reliable.

[0040] Failure rate: count the number of failures of the sensor in the past use. For example, if sensor C has one failure in the past year and sensor D has three failures, then the reliability of sensor C is relatively high.

[0041] (2) Weight assignment method: The weights are divided into several levels according to the reliability. Reliability can be divided into three levels: high, medium, and low. The corresponding weight ranges are 0.6-0.8, 0.3-0.5, and 0-0.2, respectively. If sensor E is evaluated as having high reliability, it can be assigned a weight of 0.7.

[0042] The specific implementation steps of the weighted average method are as follows: (1) calibrating and evaluating each sensor to determine its accuracy and reliability, thereby setting the weight coefficient, and assigning a higher weight to sensors with high accuracy and high reliability; (2) obtaining the temperature and humidity measurement values ​​of each sensor in real time; (3) calculating the fused temperature and humidity results according to the above formula.

[0043] 2. The calculation principle of the Kalman filter method is: using the estimated value at the previous moment and the measured value at the current moment to update the estimate of the temperature and humidity state variables. Its basic equations include a state prediction equation and a measurement update equation. The state prediction equation is used to predict the current state based on the dynamic model of the system, and the measurement update equation corrects the predicted temperature and humidity state based on the current measured value.

[0044] The specific implementation steps are as follows: (1) Establish a state space model of temperature and humidity, including the state equation (describing the change law of temperature and humidity over time) and the measurement equation (describing the relationship between the sensor measurement value and the actual temperature and humidity); (2) Initialize the state estimate and covariance matrix, and the covariance matrix represents the uncertainty of the estimate; (3) According to the measurement cycle of the sensor, perform the following operations in each cycle; (4) Use the state prediction equation to predict the temperature and humidity state and covariance at the current moment; (5) Calculate the Kalman gain, which determines the relative weight of the measured value and the predicted value when updating the estimated value; (6) According to the measurement update equation, the Kalman gain, predicted value and measured value are combined to update the estimated value and covariance of the temperature and humidity.

[0045] 3. The calculation principle of the Bayesian estimation method is: to calculate the posterior probability distribution through the prior probability distribution and the likelihood function, so as to obtain the optimal estimate of temperature and humidity.

[0046] The specific implementation steps are as follows: (1) determine the prior probability distribution of temperature and humidity, for example, assuming that temperature and humidity obey uniform distribution or normal distribution within a certain range; (2) determine the likelihood function according to the measurement model of each sensor, that is, the probability density function of the sensor obtaining the corresponding measurement value when the actual temperature and humidity are given; (3) using Bayes' theorem, multiply the prior probability and the likelihood function to obtain the posterior probability distribution. The statistics such as the mean or mode of the posterior probability distribution can be used as the fused temperature and humidity estimates.

[0047] 4. The calculation principle of the neural network method is: construct a neural network, take the measurement values ​​of each sensor as input, and output the fused temperature and humidity estimation value after processing and learning by neurons. The neural network can automatically learn the complex relationship between sensor data and adapt to different measurement environments and sensor characteristics.

[0048] The specific implementation steps are as follows: (1) Design the structure of the neural network, including the input layer (number of sensors), hidden layer (the number of neurons and layers are determined according to actual conditions) and output layer (temperature and humidity estimates); (2) Collect a large amount of sensor measurement data and the corresponding real temperature and humidity data as training samples. The real temperature and humidity data can be obtained through high-precision reference instruments; (3) Use the training samples to train the neural network, and adjust the network weights and thresholds to make the network output as close to the real temperature and humidity values ​​as possible; (4) After the training is completed, the real-time sensor measurement data is input into the neural network to obtain the fused temperature and humidity estimates.

[0049] 2. The preset control strategy includes an adaptive control strategy and a hierarchical control strategy.

[0050] 1. The adaptive control strategy is to formulate different preset control strategies according to different seasons, load changes and natural ventilation conditions. The adaptive control strategy can automatically adjust the temperature and humidity control parameters according to factors such as seasons, load changes, natural ventilation conditions, etc. to improve control accuracy.

[0051] Among them, the strategies for different seasons can be: in spring and autumn, the temperature and humidity are relatively moderate, and the system can adopt a mild control strategy, mainly based on monitoring, and only start the adjustment equipment when the temperature and humidity exceed the threshold; in summer, the weather is hot and humid, and refrigeration and dehumidification devices are used first, and the two are linked to ensure that the temperature in the switch cabinet does not exceed the allowable range and the humidity is kept at a low level; in winter, it is cold and dry, and the heating strategy is mainly used. By reasonably controlling the heating device, condensation is prevented and the insulation performance of the electrical equipment is guaranteed.

[0052] Among them, the strategy for load changes can be: when the load increases, the system can monitor the accelerated temperature rise in the switch cabinet and automatically switch to rapid cooling mode, such as increasing ventilation, adjusting cooling power, etc., to slow down the temperature rise rate; on the contrary, when the load is low, reduce the operation of unnecessary refrigeration or heating devices to save energy and maintain stable temperature and humidity.

[0053] Among them, the strategy for natural ventilation conditions can be: for high-voltage switchgear with good natural ventilation, good ventilation will take away the heat from the outer surface of the cabinet, and the system can appropriately reduce the operating time of devices such as heating or dehumidification; for high-voltage switchgear with poor natural ventilation, not only should the adjustment equipment be strengthened, but the temperature and humidity should also be monitored more frequently to ensure that the temperature and humidity can still be effectively controlled under unfavorable natural ventilation conditions.

[0054] 2. The hierarchical control strategy is to first set temperature and humidity warning values ​​of different levels, and then formulate different preset control strategies according to the temperature and humidity warning values ​​of different levels. Different control measures can be taken when the detected temperature and humidity results reach different levels. For example, if the humidity is slightly abnormal, the dehumidification device will be started. If the humidity is severely abnormal, the heating device, dehumidification device and ventilation device will be started at the same time, and an early warning will be issued.

[0055] During operation, multiple high-precision temperature and humidity sensors simultaneously detect the temperature and humidity inside the switch cabinet body in real time and send them to the controller. The controller calculates the real-time temperature and humidity inside the switch cabinet body through data fusion algorithms such as weighted average and Kalman filtering. The controller automatically controls the operation of the heating device, the dehumidification device, the ventilation device and the refrigeration device based on the real-time temperature and humidity results.

[0056] During operation, the plurality of infrared temperature sensors simultaneously detect the temperature of key parts of the switch cabinet body in real time and send the results to the controller. The controller automatically controls the operation of the heating device, the dehumidification device, the ventilation device and the refrigeration device based on the real-time temperature detection results.

[0057] When working, the controller automatically controls the operation of the heating device, the dehumidification device, the ventilation device and the refrigeration device according to the preset control strategy.

[0058] During operation, when the controller analyzes and determines that the temperature and humidity inside the switch cabinet body exceed the preset threshold value, the early warning module sends out an audible and visual alarm signal, and notifies the relevant person in charge through short messages, emails, etc.; specifically, different notification methods can be adopted according to the early warning level to ensure that relevant personnel are aware of and deal with the problem in a timely manner.

[0059] When working, the display module displays the temperature and humidity data in the switch cabinet body, the temperature data of key parts, alarm information and the current preset control strategy working mode of the high-voltage switch cabinet in real time.

[0060] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the specific implementation modes of the present invention can still be modified or replaced by equivalents, and any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A temperature and humidity control system for a high-voltage switch cabinet, comprising a switch cabinet body, a heating device, a dehumidifying device, a ventilation device, a refrigeration device, a display module, an early warning module and a controller, characterized in that: It also includes multiple types of sensors, including high-precision temperature and humidity sensors and infrared temperature sensors, multiple high-precision temperature and humidity sensors are evenly arranged at different positions in the switch cabinet body, and multiple infrared temperature sensors are arranged at key positions in the switch cabinet body; The controller has a built-in data fusion algorithm, and the multiple high-precision temperature and humidity sensors simultaneously detect the temperature and humidity in the switch cabinet body in real time and send the results to the controller. The controller calculates the real-time temperature and humidity in the switch cabinet body through the data fusion algorithm. The controller automatically controls the operation of the heating device, the dehumidification device, the ventilation device and the refrigeration device through the real-time temperature and humidity results. The plurality of infrared temperature sensors simultaneously detect the temperature of key parts of the switch cabinet body in real time and send the temperature to the controller. The controller automatically controls the operation of the heating device, the dehumidifying device, the ventilation device and the refrigeration device according to the real-time temperature detection result. The controller has a built-in preset control strategy, and the controller automatically controls the operation of the heating device, the dehumidification device, the ventilation device and the refrigeration device according to the preset control strategy; When the controller analyzes and determines that the temperature and humidity in the switch cabinet body exceed the preset threshold value, an alarm signal is sent out through the early warning module and copied to the relevant person in charge.

2. The high-voltage switch cabinet temperature and humidity control system according to claim 1 is characterized in that: The preset control strategy includes an adaptive control strategy and a hierarchical control strategy. The adaptive control strategy is to formulate different preset control strategies according to different seasons, load changes and natural ventilation conditions. The hierarchical control strategy is to first set different levels of temperature and humidity warning values, and then formulate different preset control strategies according to different levels of temperature and humidity warning values. The controller displays the current preset control strategy in the switch cabinet body through the display module.

3. The high-voltage switch cabinet temperature and humidity control system according to claim 1 is characterized in that: The high-precision temperature and humidity sensors include high-precision temperature and humidity sensors of different brands and different detection principles.

4. The high-voltage switch cabinet temperature and humidity control system according to claim 1 is characterized in that: The key parts are contacts, operating mechanisms, busbars, current transformers, voltage transformers, cable connections, grounding switches and lightning arresters in the switch cabinet body.

5. The high-voltage switch cabinet temperature and humidity control system according to claim 1 is characterized in that: The data fusion algorithm includes weighted average method, Kalman filtering method, Bayesian estimation method and neural network method.

6. The high-voltage switch cabinet temperature and humidity control system according to claim 5, characterized in that: The calculation principle of the weighted average method is: first, a weight coefficient is assigned to each sensor, and the size of the weight is determined according to the accuracy and reliability factors of the sensor. Then, the measurement values ​​of each sensor are multiplied by the corresponding weight coefficients and the sum is divided by the sum of the weight coefficients to obtain the fused measurement value.

7. The high-voltage switch cabinet temperature and humidity control system according to claim 5, characterized in that: The calculation principle of the Kalman filter method is: using the estimated value at the previous moment and the measured value at the current moment to update the estimate of the temperature and humidity state variables. Its basic equations include a state prediction equation and a measurement update equation. The state prediction equation is used to predict the current state based on the dynamic model of the system, and the measurement update equation corrects the predicted temperature and humidity state based on the current measured value.

8. The high-voltage switch cabinet temperature and humidity control system according to claim 5, characterized in that: The calculation principle of the Bayesian estimation method is: to calculate the posterior probability distribution through the prior probability distribution and the likelihood function, so as to obtain the optimal estimation of temperature and humidity.

9. The high-voltage switch cabinet temperature and humidity control system according to claim 5, characterized in that: The calculation principle of the neural network method is: construct a neural network, take the measurement values ​​of each sensor as input, and output the fused temperature and humidity estimation values ​​after processing and learning by neurons. The neural network can automatically learn the complex relationship between sensor data and adapt to different measurement environments and sensor characteristics.

Images