Comprehensive protection method and device for gas detection equipment in transformer oil

Abstract

The invention discloses a comprehensive protection method and device for gas detection equipment in transformer oil, and relates to the field of equipment protection. According to the method, the refrigerating or heating power of a thermoelectric refrigerating unit is adjusted according to a first humidity value and a first temperature value of a preset target position to obtain first operation data, and voltage and current parameters of an electroosmosis unit are adjusted to obtain a second voltage value and a second current value; target operation data, a target voltage value and a target current value are obtained according to the second humidity value and the second temperature value of the current environment, and the adjustment direction and the adjustment amplitude are determined according to the temperature difference value and the humidity difference value; and determining final operation data, a final voltage value and a final current value according to the adjustment direction and the adjustment amplitude. By implementing the technical scheme provided by the invention, the effects of improving the equipment protection performance, optimizing the operation efficiency and prolonging the service life are achieved.

Description

Technical Field

[0001] This application relates to the technical field of equipment protection, and particularly relates to a comprehensive protection method and device for gas detection equipment in transformer oil. Background Art

[0002] With the increasing complexity of the power system and the improvement of the requirement for high reliability, higher requirements are put forward for the performance of gas detection equipment in transformer oil. In order to ensure the stable operation of these devices in various environments and prevent measurement errors or equipment damage caused by environmental factors, comprehensive protection technology is particularly important.

[0003] Currently, in the protection of gas detection equipment in transformer oil, common means include using temperature and humidity sensors to monitor the environmental conditions around the equipment, and adjusting the temperature through simple heating or cooling devices. However, these methods mostly rely on single physical isolation or simple temperature control, lacking comprehensive consideration of multiple environmental factors (such as humidity, temperature), and unable to achieve precise and effective protection.

[0004] Therefore, there is an urgent need for a comprehensive protection method that can comprehensively and dynamically adapt to different environmental conditions to ensure that the gas detection equipment in transformer oil is always in the best working state. Summary of the Invention

[0005] This application provides a comprehensive protection method and device for gas detection equipment in transformer oil, which realizes effective protection of the equipment by collecting key data and combining immediate adjustment and long-term optimization strategies.

[0006] In the first aspect of this application, a comprehensive protection method for gas detection equipment in transformer oil is provided, which is applied to a protection platform. The method includes: Collect the first humidity value, the first temperature value at a preset target position of the gas detection equipment in transformer oil, the first voltage value and the first current value of the electroosmosis unit, and collect the second humidity value and the second temperature value of the current environment; Perform a first adjustment on the refrigeration or heating power of the thermoelectric cooler through a PID control algorithm according to the first humidity value and the first temperature value to obtain the first operation data of the thermoelectric cooler, and perform a second adjustment on the voltage and current parameters of the electroosmosis unit according to the first humidity value, the first temperature value, and the first operation data to obtain a second voltage value and a second current value; Input the second humidity value and the second temperature value into a preset model to obtain target operation data, a target voltage value, and a target current value, calculate the first difference between the first humidity value and the second humidity value, and the second difference between the first temperature value and the second temperature value, and determine the adjustment direction and adjustment amplitude according to the first difference and the second difference; Determine the second operating data according to the target operating data, the first operating data, the adjustment direction, and the adjustment amplitude. Determine the third voltage value and the third current value according to the target voltage value, the target current value, the second voltage value, the second current value, the adjustment direction, and the adjustment amplitude. Adjust the thermoelectric cooler according to the second operating data, and adjust the electroosmotic unit according to the third voltage value and the third current value.

[0007] Optionally, the first adjustment of the cooling or heating power of the thermoelectric cooler by the PID control algorithm according to the first humidity value and the first temperature value to obtain the first operating data of the thermoelectric cooler includes: Calculate the minimum temperature deviation between the first temperature value and the preset target temperature range, and calculate the required cooling or heating power according to the minimum temperature deviation by the PID control algorithm; Adjust the current direction and magnitude of the thermoelectric cooler according to the cooling or heating power to adjust the first temperature value within the target temperature range; Record the first operating data of the thermoelectric cooler during the first adjustment process, where the first operating data includes the actual cooling or heating power of the thermoelectric cooler, the current direction and magnitude, and the change trend of the first temperature value.

[0008] Optionally, the second adjustment of the voltage and current parameters of the electroosmotic unit according to the first humidity value, the first temperature value, and the first operating data to obtain the second voltage value and the second current value includes: Calculate the minimum humidity deviation between the first humidity value and the preset target humidity range, and calculate the second voltage value and the second current value of the electroosmotic unit through the simulation module according to the minimum temperature deviation, the minimum humidity deviation, and the first operating data, so that the operating efficiency of the electroosmotic unit is greater than or equal to the first threshold and the first humidity value is adjusted within the preset target humidity range.

[0009] Optionally, the input of the second humidity value and the second temperature value into the preset model to obtain the target operating data, the target voltage value, and the target current value includes: Train the historical data by the machine learning algorithm to obtain the preset model, so as to establish the mapping relationship between the environmental parameters and the device operating parameters; Input the second humidity value and the second temperature value into the preset model to obtain the optimal operating parameters of the thermoelectric cooler and the electroosmotic unit in the current environment. The optimal operating parameters include target operating data, a target voltage value, and a target current value. The target operating data includes the target cooling or heating power of the thermoelectric cooler. The target voltage value and the target current value are the parameters for the electroosmotic unit to achieve the optimal operating efficiency under the current environmental conditions.

[0010] Optionally, the determining the adjustment direction and the adjustment amplitude according to the first difference and the second difference includes: Determine whether the first difference and / or the second difference is greater than a second threshold; When the first difference and / or the second difference is greater than the second threshold, determine that the adjustment direction is to increase the weights of the first operating data, the second voltage value, and the second current value, and decrease the weights of the target operating data, the target voltage value, and the target current value; When both the first difference and the second difference are less than or equal to the second threshold, determine that the adjustment direction is to increase the weights of the target operating data, the target voltage value, and the target current value, and decrease the weights of the first operating data, the second voltage value, and the second current value; Determine the adjustment amplitude of the weights according to the third difference between the maximum value of the first difference and the second difference and the second threshold.

[0011] Optionally, the determining the adjustment amplitude of the weights according to the third difference between the maximum value of the first difference and the second difference and the second threshold includes: Calculate the product of the third difference and a preset adjustment amplitude coefficient as the first adjustment amplitude, determine the second adjustment amplitude according to the current environment, and add the first adjustment amplitude and the second adjustment amplitude to obtain the adjustment amplitude.

[0012] Optionally, the determining the second operating data according to the target operating data, the first operating data, the adjustment direction, and the adjustment amplitude includes: Determine the first weight of the first operating data and the second weight of the target operating data according to the adjustment direction and the adjustment amplitude; Calculate the first product of the first operating data and the first weight, calculate the second product of the target operating data and the second weight, and calculate the sum of the first product and the second product to determine the second operating data.

[0013] In the second aspect of the present application, a comprehensive protection system for a gas detection device in transformer oil is provided, including an acquisition module, an adjustment module, a calculation module, and an execution module, wherein: A collection module, configured to collect a first humidity value, a first temperature value at a preset target position of a gas detection device in transformer oil, a first voltage value and a first current value of an electroosmotic unit, and collect a second humidity value and a second temperature value of the current environment; An adjustment module, configured to perform a first adjustment on the cooling or heating power of a thermoelectric cooler through a PID control algorithm according to the first humidity value and the first temperature value to obtain first operation data of the thermoelectric cooler, and perform a second adjustment on the voltage and current parameters of the electroosmotic unit according to the first humidity value, the first temperature value, and the first operation data to obtain a second voltage value and a second current value; A calculation module, configured to input the second humidity value and the second temperature value into a preset model to obtain target operation data, a target voltage value, and a target current value, calculate a first difference between the first humidity value and the second humidity value, and a second difference between the first temperature value and the second temperature value, and determine an adjustment direction and an adjustment amplitude according to the first difference and the second difference; An execution module, configured to determine second operation data according to the target operation data, the first operation data, the adjustment direction, and the adjustment amplitude, determine a third voltage value and a third current value according to the target voltage value, the target current value, the second voltage value, the second current value, the adjustment direction, and the adjustment amplitude, adjust the thermoelectric cooler according to the second operation data, and adjust the electroosmotic unit according to the third voltage value and the third current value.

[0014] In a third aspect of the present application, an electronic device is provided, including a processor, a memory, a user interface, and a network interface. The memory is used to store instructions. The user interface and the network interface are both used to communicate with other devices. The processor is used to execute the instructions stored in the memory so that the electronic device executes the method described in any one of the above.

[0015] In a fourth aspect of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores instructions, and when the instructions are executed, the method described in any one of the above is executed.

[0016] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. By collecting humidity and temperature data inside and outside the device and combining the voltage and current parameters of the electroosmotic unit, the changes in the device operating environment can be monitored in real time. Using the PID control algorithm and the preset model, the system can quickly respond to environmental changes and ensure that the device can operate stably under different environmental conditions (such as high humidity and temperature fluctuations); 2. By combining immediate adjustments (the first adjustment and the second adjustment) and long-term optimization (obtaining target operating data through a preset model), it is possible to dynamically balance the immediate needs of the device and long-term performance optimization. By calculating the humidity and temperature differences (the first difference and the second difference) and determining the adjustment direction and amplitude based on these differences, the system can flexibly adjust the weights to ensure that immediate needs are prioritized when the environment changes drastically, and return to the long-term optimization goal when the environment is relatively stable. 3. By dynamically adjusting the operating parameters of the thermoelectric cooler and the electroosmotic unit, it is possible to optimize energy consumption while ensuring the protection effect of the device. For example, when the environmental humidity and temperature change slightly, the system can reduce the cooling / heating power and the voltage / current of the electroosmotic unit to reduce energy consumption; the preset model, based on historical data and machine learning algorithms, can predict the optimal operating parameters of the device under different environmental conditions, further improving the operating efficiency of the system. 4. By precisely controlling the temperature and humidity environment inside the device, it is possible to provide more stable conditions for gas detection in transformer oil, thereby improving the detection accuracy and data reliability. For example, in a high-humidity environment, by immediately adjusting the parameters of the electroosmotic unit, it is possible to effectively prevent moisture from entering the device and avoid detection errors caused by environmental factors. 5. By effectively protecting the device from environmental factors such as moisture, temperature fluctuations, and salt spray, it is possible to significantly extend the service life of the gas detection device in transformer oil. For example, in coastal areas, the device usually faces the dual challenges of high humidity and salt spray corrosion. This method can reduce the damage of the environment to the device through immediate adjustment and long-term optimization. Description of the Drawings

[0017] Figure 1 is a schematic flow chart of the comprehensive protection method for the gas detection device in transformer oil disclosed in the embodiments of the present application; Figure 2 is a schematic module diagram of the comprehensive protection system for the gas detection device in transformer oil disclosed in the embodiments of the present application; Figure 3 is a schematic structural diagram of an electronic device disclosed in the embodiments of the present application.

[0018] Description of the reference numerals: 201, acquisition module; 202, adjustment module; 203, calculation module; 204, execution module; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. Detailed Embodiments

[0019] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all of the embodiments.

[0020] In the description of the embodiments of this application, words such as "for example" or "for illustration" are used to give examples, illustrations, or explanations. Any embodiment or design solution described as "for example" or "for illustration" in the embodiments of this application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of words such as "for example" or "for illustration" is intended to present the relevant concepts in a specific manner.

[0021] In the description of the embodiments of this application, the term "plural" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. The terms "include", "comprise", "have" and their variants all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0022] This embodiment discloses a comprehensive protection method for a gas detection device in transformer oil, which is applied to a protection platform. Figure 1 It is a schematic flowchart of the comprehensive protection method for a gas detection device in transformer oil disclosed in the embodiments of this application. As Figure 1 shown, the method includes the following steps: S101. Collect the first humidity value, the first temperature value at a preset target position of the gas detection device in transformer oil, the first voltage value and the first current value of the electroosmosis unit, and collect the second humidity value and the second temperature value of the current environment; S102. First adjust the cooling or heating power of the thermoelectric cooler through a PID control algorithm according to the first humidity value and the first temperature value to obtain the first operating data of the thermoelectric cooler, and second adjust the voltage and current parameters of the electroosmosis unit according to the first humidity value, the first temperature value, and the first operating data to obtain a second voltage value and a second current value; S103. Input the second humidity value and the second temperature value into a preset model to obtain target operating data, a target voltage value, and a target current value. Calculate a first difference between the first humidity value and the second humidity value, and a second difference between the first temperature value and the second temperature value, and determine an adjustment direction and an adjustment amplitude based on the first difference and the second difference; S104. Determine second operating data based on the target operating data, the first operating data, the adjustment direction, and the adjustment amplitude. Determine a third voltage value and a third current value based on the target voltage value, the target current value, the second voltage value, the second current value, the adjustment direction, and the adjustment amplitude. Adjust the thermoelectric cooler according to the second operating data, and adjust the electroosmotic unit according to the third voltage value and the third current value.

[0023] Collect the first humidity value and the first temperature value at the preset target position of the gas detection equipment for transformer oil, as well as the first voltage value and the first current value of the electroosmosis unit. The preset target position can be multiple different positions of the detection equipment. The first humidity value can be the average humidity value of these multiple different positions. Similarly, the first temperature value can be the average temperature value of these multiple different positions. At the same time, collect the second humidity value and the second temperature value of the current environment. These data are used for subsequent immediate adjustment and long-term optimization. According to the collected first humidity value and first temperature value, calculate the required refrigeration or heating power through the PID control algorithm. The PID algorithm adjusts the control quantity through the linear combination of three parts: proportional (P), integral (I), and derivative (D). Adjust the current direction and magnitude of the thermoelectric cooler according to the calculation result to adjust the first temperature value to within the preset target temperature range. Record the operating data of the thermoelectric cooler during the adjustment process, including the actual refrigeration or heating power, current direction and magnitude, and the change trend of the first temperature value. Combine the first humidity value, the first temperature value, and the first operating data of the thermoelectric cooler, and calculate the second voltage value and the second current value of the electroosmosis unit through the simulation module. Adjust the voltage and current parameters of the electroosmosis unit to ensure that its operating efficiency is greater than or equal to the first threshold, and adjust the first humidity value to within the preset target humidity range. Input the second humidity value and the second temperature value into the preset model, which is constructed based on historical data and machine learning algorithms and can predict the optimal operating parameters of the thermoelectric cooler and the electroosmosis unit under the current environmental conditions. The optimal operating parameters include target operating data (the target refrigeration or heating power of the thermoelectric cooler), target voltage value, and target current value. Calculate the first difference between the first humidity value and the second humidity value, and the second difference between the first temperature value and the second temperature value. Determine the adjustment direction and adjustment amplitude according to the magnitudes of the first difference and the second difference. When the first difference or the second difference is greater than the preset second threshold, the adjustment direction tends to increase the weights of the first operating data, the second voltage value, and the second current value; when both the first difference and the second difference are less than or equal to the second threshold, the adjustment direction tends to increase the weights of the target operating data, the target voltage value, and the target current value. The adjustment amplitude is dynamically determined according to the third difference between the maximum value of the first difference and the second difference and the second threshold. The adjustment amplitude is directly proportional to the third difference, and the proportionality coefficient can be dynamically adjusted according to the operating historical data of the equipment and the environmental change trend. Determine the second operating data of the thermoelectric cooler according to the target operating data, the first operating data, the adjustment direction, and the adjustment amplitude. Determine the third voltage value and the third current value of the electroosmosis unit according to the target voltage value, the target current value, the second voltage value, the second current value, the adjustment direction, and the adjustment amplitude. Adjust the refrigeration or heating power of the thermoelectric cooler according to the second operating data. Adjust the voltage and current parameters of the electroosmosis unit according to the third voltage value and the third current value.

[0024] By combining immediate adjustment and long-term optimization, the device can operate stably under different environmental conditions and effectively cope with complex environments such as high humidity and temperature fluctuations. The system can dynamically adjust weights and operating parameters according to environmental changes to balance immediate needs and long-term optimization goals. By optimizing the operating parameters of the thermoelectric cooler and the electroosmotic unit, energy consumption is reduced and the operating efficiency of the device is improved. The temperature and humidity environment inside the device is precisely controlled to provide stable conditions for gas detection and improve detection accuracy. Combining with the cloud computing platform and remote monitoring function, the device status is monitored in real time, and early warnings are issued and maintenance personnel are notified in a timely manner. Through effective protection, the damage to the device caused by environmental factors is reduced and the service life of the device is extended.

[0025] Optionally, the first adjustment of the cooling or heating power of the thermoelectric cooler according to the first humidity value and the first temperature value through the PID control algorithm to obtain the first operating data of the thermoelectric cooler includes: Calculating the minimum temperature deviation between the first temperature value and a preset target temperature range, and calculating the required cooling or heating power according to the minimum temperature deviation through the PID control algorithm; Adjusting the current direction and magnitude of the thermoelectric cooler according to the cooling or heating power to adjust the first temperature value within the target temperature range; Recording the first operating data of the thermoelectric cooler during the first adjustment, where the first operating data includes the actual cooling or heating power of the thermoelectric cooler, the current direction and magnitude, and the change trend of the first temperature value.

[0026] Calculate the minimum temperature deviation (ΔT) between the first temperature value and the preset target temperature range. The target temperature range is usually a set interval, such as [20°C, 21°C]. The minimum temperature deviation (ΔT) is used to measure the gap between the current temperature and the target temperature and is the basic input of the PID control algorithm. For example, if the current temperature is 19°C, the minimum temperature deviation is 20 - 19 = 1. The PID control algorithm is a closed-loop control algorithm that adjusts the control quantity through the linear combination of three links: proportional (P), integral (I), and derivative (D). According to the control quantity calculated by the PID algorithm, the current direction and magnitude of the thermoelectric cooler are adjusted. When the target temperature is higher than the current temperature, the heating power is increased; when the target temperature is lower than the current temperature, the cooling power is increased. By adjusting the current direction and magnitude, precise control of the cooling or heating power of the thermoelectric cooler is achieved. During the adjustment process, record the actual cooling or heating power of the thermoelectric cooler, the current direction and magnitude, and the change trend of the first temperature value. These data are used for subsequent analysis and optimization to ensure the long-term stable operation of the system.

[0027] Through the PID control algorithm, the thermoelectric cooler can quickly respond to temperature changes and precisely adjust the internal temperature of the device within the target temperature range. For example, in a gas detection device for transformer oil, precise temperature control can reduce the impact of ambient temperature fluctuations on detection accuracy. The PID algorithm can dynamically adjust the control quantity according to the real-time error, adapting to different environmental conditions and device operating states. For example, in a high-humidity environment, the internal temperature of the device may fluctuate due to humidity changes, and the PID control algorithm can timely adjust the power of the thermoelectric cooler to ensure temperature stability. By optimizing the PID parameters, the thermoelectric cooler can reduce unnecessary energy consumption while ensuring temperature control accuracy. For example, when the ambient temperature approaches the target temperature, the PID algorithm can reduce the cooling or heating power to lower energy consumption. Precise temperature control reduces the stress and aging caused by temperature changes inside the device, extending the service life of the device. For example, in a gas detection device for transformer oil, a stable temperature environment can reduce the drift of detection elements, improving detection accuracy and reliability.

[0028] Optionally, the second adjustment of the voltage and current parameters of the electroosmotic unit according to the first humidity value, the first temperature value, and the first operating data to obtain a second voltage value and a second current value includes: Calculating the minimum humidity deviation between the first humidity value and a preset target humidity range, and calculating the voltage and current parameters of the electroosmotic unit through a simulation module according to the minimum temperature deviation, the minimum humidity deviation, and the first operating data to obtain a second voltage value and a second current value, so that the operating efficiency of the electroosmotic unit is greater than or equal to a first threshold and the first humidity value is adjusted to within the preset target humidity range.

[0029] Calculate the minimum humidity deviation between the first humidity value and the preset target humidity range. The target humidity range is usually a set interval, such as 40%-60%. The minimum humidity deviation (ΔH) is used to measure the gap between the current humidity and the target humidity and is the basis for subsequent adjustments. For example, if the current humidity is 50%, the minimum humidity deviation is 0; if the current humidity is 70%, the minimum humidity deviation is 70 - 60 = 10. Based on the calculated minimum humidity deviation (ΔH), combine the minimum temperature deviation (ΔT) between the first temperature value and the target temperature range, and the first operating data of the thermoelectric cooler (such as actual cooling or heating power, current direction and magnitude, etc.) as the input parameters for the electroosmotic unit adjustment. Use a simulation module (such as MATLAB Simulink) to calculate the voltage and current parameters of the electroosmotic unit. The simulation module, based on the physical model and control algorithm of the electroosmotic unit, combines the current humidity deviation, temperature deviation, and the operating state of the thermoelectric cooler to calculate the second voltage value and the second current value that can make the operating efficiency of the electroosmotic unit greater than or equal to the first threshold. For example, the PID control algorithm can be used to dynamically adjust the voltage and current of the electroosmotic unit. The PID algorithm adjusts the control quantity through the linear combination of the proportional (P), integral (I), and derivative (D) links to ensure the operating efficiency and humidity control effect of the electroosmotic unit. The adjusted second voltage value and second current value can not only make the operating efficiency of the electroosmotic unit greater than or equal to the first threshold but also adjust the first humidity value to the preset target humidity range. This adjustment method can effectively cope with the environmental humidity change, ensure the stability of the humidity inside the device, and thus improve the accuracy and reliability of the gas detection in transformer oil.

[0030] By combining the humidity deviation, temperature deviation, and the operating data of the thermoelectric cooler to dynamically adjust the voltage and current of the electroosmotic unit, the humidity inside the device can be accurately controlled within the target range. Ensure that the operating efficiency of the electroosmotic unit is greater than or equal to the first threshold, reduce unnecessary energy consumption, and at the same time improve the overall operating efficiency of the system. A stable humidity environment can reduce the detection error caused by humidity change and improve the accuracy and reliability of the gas detection in transformer oil. Using the simulation module and the PID control algorithm, the system can perform intelligent regulation according to real-time data and adapt to different environmental conditions.

[0031] Optionally, the step of inputting the second humidity value and the second temperature value into a preset model to obtain target operating data, a target voltage value, and a target current value includes: Use a machine learning algorithm to train historical data to obtain the preset model to establish the mapping relationship between environmental parameters and device operating parameters; Input the second humidity value and the second temperature value into the preset model to obtain the optimal operating parameters of the thermoelectric cooler and the electroosmotic unit in the current environment. The optimal operating parameters include target operating data, a target voltage value, and a target current value. The target operating data includes the target cooling or heating power of the thermoelectric cooler. The target voltage value and the target current value are the parameters for the electroosmotic unit to achieve the optimal operating efficiency under the current environmental conditions.

[0032] Collect the operating data of the gas detection equipment in transformer oil under different environmental conditions, including humidity, temperature, the cooling / heating power of the thermoelectric cooler, the voltage and current of the electroosmotic unit, etc. Preprocess these historical data, including data cleaning, normalization, and feature extraction, to ensure the quality and consistency of the data. Select a preset machine learning algorithm (such as support vector machine, neural network, decision tree, etc.) to train the historical data. The goal of training is to establish a mapping relationship between environmental parameters (humidity and temperature) and equipment operating parameters (cooling / heating power, voltage, and current). Optimize the model parameters through methods such as cross-validation to ensure the accuracy and generalization ability of the model. Use the validation set to verify the trained model and evaluate the performance of the model. Optimize the model according to the verification results, adjust the model structure or parameters to improve the prediction accuracy of the model. The finally obtained preset model can predict the optimal operating parameters of the equipment based on the input environmental parameters (humidity and temperature). Input the second humidity value and the second temperature value of the current environment into the preset model. These input data reflect the environmental conditions where the equipment is currently located. The preset model predicts the optimal operating parameters of the thermoelectric cooler and the electroosmotic unit in the current environment according to the input second humidity value and second temperature value. The optimal operating parameters include target operating data, a target voltage value, and a target current value. Target operating data: The target cooling or heating power of the thermoelectric cooler. Target voltage value: The voltage value for the electroosmotic unit to achieve the optimal operating efficiency under the current environmental conditions. Target current value: The current value for the electroosmotic unit to achieve the optimal operating efficiency under the current environmental conditions. The target operating data, target voltage value, and target current value output by the preset model provide a reference for subsequent equipment adjustment. These parameters are the result of optimization based on historical data and machine learning algorithms, and can ensure that the equipment operates with the optimal efficiency in the current environment.

[0033] By training historical data with machine learning algorithms, the preset model can accurately predict the optimal operating parameters of the device according to the current environmental conditions. This data-driven prediction method can adapt to different environmental changes, improving the adaptability and flexibility of the system. The target operating parameters output by the preset model can ensure that the thermoelectric cooler and the electroosmotic unit operate with optimal efficiency in the current environment. By optimizing the operating parameters, unnecessary energy consumption can be reduced, and the overall operating efficiency of the system can be improved. Accurate prediction of operating parameters can reduce the operating risks of the device in complex environments and extend the service life of the device. For example, in an environment with high humidity or large temperature fluctuations, the preset model can adjust the operating parameters in a timely manner to ensure the stable operation of the device. The preset model combines real-time environmental data to provide data support for the intelligent control of the device. The system can dynamically adjust the operating parameters according to the prediction results of the preset model to achieve intelligent management.

[0034] Optionally, determining the adjustment direction and adjustment amplitude according to the first difference and the second difference includes: Judging whether the first difference and / or the second difference is greater than a second threshold; When the first difference and / or the second difference is greater than the second threshold, determine that the adjustment direction is to increase the weights of the first operating data, the second voltage value, and the second current value, and reduce the weights of the target operating data, the target voltage value, and the target current value; When both the first difference and the second difference are less than or equal to the second threshold, determine that the adjustment direction is to increase the weights of the target operating data, the target voltage value, and the target current value, and reduce the weights of the first operating data, the second voltage value, and the second current value; Determine the adjustment amplitude of the weight according to the third difference between the maximum value of the first difference and the second difference and the second threshold.

[0035] Calculate the first difference (ΔH) between the first humidity value and the second humidity value. Calculate the second difference (ΔT) between the first temperature value and the second temperature value. Set a second threshold (Δthreshold) for determining the severity of environmental changes. Determine whether the first difference (ΔH) and / or the second difference (ΔT) is greater than the second threshold (Δthreshold). When the first difference (ΔH) and / or the second difference (ΔT) is greater than the second threshold, it indicates that the environmental changes are severe, and immediate adjustment needs to be prioritized, that is, increase the weights of the first operating data (immediate operating data of the thermoelectric cooler), the second voltage value, and the second current value (immediate operating parameters of the electroosmotic unit), and reduce the weights of the target operating data, the target voltage value, and the target current value (long-term optimization parameters based on a preset model). When both the first difference (ΔH) and the second difference (ΔT) are less than or equal to the second threshold, it indicates that the environmental changes are stable, and the long-term optimization goal can be considered more. Increase the weights of the target operating data, the target voltage value, and the target current value, and reduce the weights of the first operating data, the second voltage value, and the second current value. Select the maximum value (Δmax) from the first difference (ΔH) and the second difference (ΔT). Calculate the third difference (Δdiff) between the maximum value (Δmax) and the second threshold (Δthreshold): Δdiff = Δmax - Δthreshold.

[0036] By judging the relationship between the difference and the threshold, the system can flexibly adjust the weights, prioritize dealing with severe environmental changes, and ensure the immediate stable operation of the device. When the environmental changes are stable, the system can consider the long-term optimization goal more and improve the overall operation efficiency. The adjustment amplitude (A) is dynamically determined according to the third difference (Δdiff), ensuring that the system can flexibly adjust the weights under different environmental conditions and has strong adaptability. By dynamically adjusting the weights, the system can find a balance between immediate needs and long-term optimization, reduce unnecessary energy consumption, and improve the operation efficiency. Precise weight adjustment can reduce the operation risk of the device in a complex environment, extend the service life of the device, and improve the detection accuracy and reliability.

[0037] Optionally, the determining the adjustment amplitude of the weight according to the third difference between the maximum value of the first difference and the second difference and the second threshold includes: Calculate the product of the third difference and a preset adjustment amplitude coefficient as the first adjustment amplitude, determine the second adjustment amplitude according to the current environment, and add the first adjustment amplitude and the second adjustment amplitude to obtain the adjustment amplitude.

[0038] The adjustment range (A) is dynamically determined according to the third difference (Δdiff), and generally has a proportional relationship with Δdiff: A = kΔdiff. Here, k is the proportionality coefficient, which is used to adjust the sensitivity of the weight change. According to the adjustment direction and the adjustment range (A), the weights of each parameter are dynamically adjusted: for the parameter that needs to increase the weight, the weight is increased by A, and for the parameter that needs to decrease the weight, the weight is decreased by A. The second adjustment range is dynamically determined according to the current environmental conditions. It takes into account the particularity of the current environment, such as the seasonal changes of temperature and humidity or the long-term operation trend of the device. The second adjustment range can be a fixed value or a dynamically calculated value. For example, if the current environmental humidity is high, the second adjustment range can be appropriately increased to enhance the response ability of the system. The first humidity value (H1) = 60%, the second humidity value (H2) = 70%, and the first difference (ΔH) = 10%. The first temperature value (T1) = 22°C, the second temperature value (T2) = 25°C, and the second difference (ΔT) = 3°C. The preset second threshold (Δthreshold) = 5. Calculate the maximum difference (Δmax): Δmax = max(10, 3) = 10. Calculate the third difference (Δdiff): Δdiff = 10 - 5 = 5. Calculate the first adjustment range (A1): Assume that the adjustment range coefficient (k) = 0.1. A1 = 0.1 * 5% = 0.5. Determine the second adjustment range (A2): Assume that the current environmental humidity is high, and the second adjustment range (A2) = 0.3. Calculate the final adjustment range (A): A = A1 + A2 = 0.5 + 0.3 = 0.8. Through the above steps, the final adjustment range (A) is 0.8, and the system will dynamically adjust the weights according to this adjustment range to ensure that the device operates with optimal efficiency under the current environmental conditions.

[0039] By dynamically calculating the adjustment amplitude, the system can flexibly adjust the weight according to the severity of environmental changes. When the environmental changes are drastic, the adjustment amplitude increases, and the system responds quickly; when the environmental changes are stable, the adjustment amplitude decreases, and the system smoothly transitions to the long-term optimization goal. The first adjustment amplitude is calculated based on the third difference, ensuring that the system's response to environmental changes has a clear quantitative basis. The preset adjustment amplitude coefficient can be optimized according to the device's historical operation data and environmental change trends to further improve the system's stability. The second adjustment amplitude is dynamically determined according to the current environmental conditions, enabling the system to make fine-tuning for specific environments (such as high humidity and high temperature difference), enhancing the device's adaptability in complex environments. By precisely calculating the adjustment amplitude, the system can find a balance between immediate needs and long-term optimization, reduce unnecessary energy consumption, and improve operating efficiency. For example, when the environmental changes are small, the system can reduce the weight of immediate adjustments and rely more on long-term optimization parameters, thereby reducing energy consumption. Precise weight adjustment reduces the operating risk of the device in complex environments, reduces the aging speed of the device caused by environmental changes, and extends the service life of the device. A stable operating environment and flexible adjustment strategies can reduce detection errors caused by environmental changes, improving the accuracy and reliability of gas detection in transformer oil.

[0040] Optionally, determining the second operating data according to the target operating data, the first operating data, the adjustment direction, and the adjustment amplitude includes: Determining a first weight of the first operating data and a second weight of the target operating data according to the adjustment direction and the adjustment amplitude; Calculating a first product of the first operating data and the first weight, and calculating a second product of the target operating data and the second weight, and calculating the sum of the first product and the second product to determine the second operating data.

[0041] Determine the weights of the first operating data (instantaneous operating data) and the target operating data (long-term optimization data) according to the adjustment direction. If the adjustment direction is to increase the weight of the first operating data (for example, the environment changes drastically), then set the first weight (W1) to be larger and the second weight (W2) to be smaller. If the adjustment direction is to increase the weight of the target operating data (for example, the environment changes smoothly), then set the second weight (W2) to be larger and the first weight (W1) to be smaller. The adjustment amplitude is dynamically determined according to the third difference, which reflects the severity of the environmental change. The greater the adjustment amplitude, the more significant the change in the weight. For example, if the environment changes drastically and the adjustment amplitude increases, the weight of the instantaneous operating data will increase significantly. The first product (P1) is the product of the first operating data (R1) and the first weight (W1): P1 = R1 × W1. This product reflects the contribution of the instantaneous operating data under the current adjustment direction. The second product (P2) is the product of the target operating data (R_target) and the second weight (W2): P2 = Rtarget × W2. This product reflects the contribution of the long-term optimization data under the current adjustment direction. The second operating data (R2) is the sum of the first product (P1) and the second product (P2): R2 = P1 + P2. This sum combines the contributions of the instantaneous operating data and the long-term optimization data and is dynamically adjusted according to the current environmental conditions. The second operating data (R2) is used to adjust the cooling or heating power of the thermoelectric cooler to ensure that the internal temperature of the device remains within the preset target temperature range.

[0042] By dynamically adjusting the weights, the system can give priority to meeting the immediate needs when the environment changes drastically and return to the long-term optimization goal when the environment changes smoothly, achieving a balance between the two. The system dynamically adjusts the weights and operating parameters according to the severity of the environmental change, can quickly adapt to different operating conditions, and improve the adaptability and stability of the device. By accurately calculating the weights and operating data, the system can optimize energy consumption and improve operating efficiency while ensuring the stable operation of the device. Precise adjustment of the operating parameters reduces the operating risks of the device in complex environments, extends the service life of the device, and improves the detection accuracy and reliability. The system can dynamically adjust the operating parameters according to the real-time data and the prediction results of the preset model to achieve intelligent management.

[0043] This embodiment also discloses a comprehensive protection system for a gas detection device in transformer oil. Figure 2 It is a schematic diagram of the modules of the comprehensive protection system for a gas detection device in transformer oil disclosed in the embodiment of the present application. As Figure 2 shown, the system includes a collection module 201, an adjustment module 202, a calculation module 203, and an execution module 204, where: The acquisition module 201 is configured to acquire the first humidity value, the first temperature value at a preset target position of the gas detection device in the transformer oil, the first voltage value and the first current value of the electroosmosis unit, and acquire the second humidity value and the second temperature value of the current environment; The adjustment module 202 is configured to perform a first adjustment on the refrigeration or heating power of the thermoelectric cooler through a PID control algorithm according to the first humidity value and the first temperature value to obtain the first operating data of the thermoelectric cooler, and perform a second adjustment on the voltage and current parameters of the electroosmosis unit according to the first humidity value, the first temperature value, and the first operating data to obtain a second voltage value and a second current value; The calculation module 203 is configured to input the second humidity value and the second temperature value into a preset model to obtain target operating data, a target voltage value, and a target current value, calculate a first difference between the first humidity value and the second humidity value, and a second difference between the first temperature value and the second temperature value, and determine an adjustment direction and an adjustment amplitude according to the first difference and the second difference; The execution module 204 is configured to determine second operating data according to the target operating data, the first operating data, the adjustment direction, and the adjustment amplitude, determine a third voltage value and a third current value according to the target voltage value, the target current value, the second voltage value, the second current value, the adjustment direction, and the adjustment amplitude, adjust the thermoelectric cooler according to the second operating data, and adjust the electroosmosis unit according to the third voltage value and the third current value.

[0044] Optionally, the adjustment module 202 is configured to: Calculate the minimum temperature deviation between the first temperature value and a preset target temperature range, and calculate the required refrigeration or heating power through a PID control algorithm according to the minimum temperature deviation; Adjust the current direction and magnitude of the thermoelectric cooler according to the refrigeration or heating power to adjust the first temperature value within the target temperature range; Record the first operating data of the thermoelectric cooler during the first adjustment process, where the first operating data includes the actual refrigeration or heating power of the thermoelectric cooler, the current direction and magnitude, and the change trend of the first temperature value.

[0045] Optionally, the adjustment module 202 is configured to: Calculate the minimum humidity deviation between the first humidity value and the preset target humidity range, and calculate the second voltage value and the second current value of the electroosmotic unit through the simulation module according to the minimum temperature deviation, the minimum humidity deviation, and the first operation data, so that the operation efficiency of the electroosmotic unit is greater than or equal to the first threshold and the first humidity value is adjusted to within the preset target humidity range.

[0046] Optionally, the calculation module 203 is configured to: Use a machine learning algorithm to train historical data to obtain the preset model, so as to establish a mapping relationship between environmental parameters and device operation parameters; Input the second humidity value and the second temperature value into the preset model to obtain the optimal operation parameters of the thermoelectric cooler and the electroosmotic unit in the current environment. The optimal operation parameters include target operation data, a target voltage value, and a target current value. The target operation data includes the target refrigeration or heating power of the thermoelectric cooler, and the target voltage value and the target current value are the parameters for the electroosmotic unit to achieve the optimal operation efficiency under the current environmental conditions.

[0047] Optionally, the calculation module 203 is configured to: Judge whether the first difference and / or the second difference is greater than a second threshold; When the first difference and / or the second difference is greater than the second threshold, determine that the adjustment direction is to increase the weights of the first operation data, the second voltage value, and the second current value, and reduce the weights of the target operation data, the target voltage value, and the target current value; When both the first difference and the second difference are less than or equal to the second threshold, determine that the adjustment direction is to increase the weights of the target operation data, the target voltage value, and the target current value, and reduce the weights of the first operation data, the second voltage value, and the second current value; Determine the adjustment amplitude of the weight according to the third difference between the maximum value of the first difference and the second difference and the second threshold.

[0048] Optionally, the calculation module 203 is configured to: Calculate the product of the third difference and the preset adjustment amplitude coefficient as the first adjustment amplitude, determine the second adjustment amplitude according to the current environment, and add the first adjustment amplitude and the second adjustment amplitude to obtain the adjustment amplitude.

[0049] Optionally, the execution module 204 is configured to: Determine the first weight of the first operation data and the second weight of the target operation data according to the adjustment direction and the adjustment amplitude; Calculate a first product of the first running data and the first weight, and calculate a second product of the target running data and the second weight, and calculate the sum of the first product and the second product to determine the second running data.

[0050] It should be noted that when the device provided in the above embodiment realizes its functions, only the division of the above functional modules is used for illustration. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process can be seen in the method embodiment, which will not be elaborated here.

[0051] This embodiment also discloses an electronic device. Referring to Figure 3 , the electronic device may include: at least one processor 301, at least one communication bus 302, a user interface 303, a network interface 304, and at least one memory 305.

[0052] Among them, the communication bus 302 is used to realize the connection and communication between these components.

[0053] Among them, the user interface 303 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 303 may further include a standard wired interface and a wireless interface.

[0054] Among them, the network interface 304 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0055] Among them, the processor 301 may include one or more processing cores. The processor 301 connects various parts within the entire server through various interfaces and lines. By running or executing instructions, programs, code sets, or instruction sets stored in the memory 305, and by calling the data stored in the memory 305, it executes various functions of the server and processes data. Optionally, the processor 301 may be implemented in at least one hardware form of digital signal processing (DSP), field-programmable gate array (FPGA), or programmable logic array (PLA). The processor 301 may integrate a combination of one or several of a central processing unit (CPU), a graphics processing unit (GPU), and a modem, etc. Among them, the CPU mainly processes the operating system, user interface, application programs, etc.; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301 and may be implemented separately through a single chip.

[0056] Among them, the memory 305 may include random access memory (RAM) and may also include read-only memory. Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 305 may include a program storage area and a data storage area. Among them, the program storage area may store instructions for implementing the operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store the data involved in the above-mentioned various method embodiments. Optionally, the memory 305 may further be at least one storage device located far from the aforementioned processor 301. As Figure 3 shown, the memory 305, as a computer storage medium, may include an operating system, a network communication module, a user interface module, and an application program for the comprehensive protection method of the gas detection device in transformer oil.

[0057] In Figure 3In the electronic device shown, the user interface 303 is mainly used to provide an interface for the user to input data and obtain the data input by the user; while the processor 301 can be used to call the application program stored in the memory 305 for the comprehensive protection method of the gas detection device in transformer oil. When executed by one or more processors 301, the electronic device is caused to execute the method as described in one or more of the above embodiments.

[0058] It should be noted that, for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that this application is not limited by the described action sequence, because according to this application, certain steps can be adopted in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0059] In the above embodiments, the descriptions of the various embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0060] In the several embodiments provided by this application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of units is only a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection can be through some service interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical or other form.

[0061] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0062] In addition, in each embodiment of this application, the functional units can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0063] When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory 305 and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of various embodiments of this application. And the aforementioned memory 305 includes: various media such as USB flash drives, mobile hard disks, magnetic disks, or optical discs that can store program codes.

[0064] The foregoing are only exemplary embodiments of the present disclosure and should not be used to limit the scope of the present disclosure. That is, all equivalent changes and modifications made in accordance with the teachings of the present disclosure still fall within the scope covered by the present disclosure. After considering the disclosure of the specification, those skilled in the art will readily think of other implementation manners of the present disclosure. This application aims to cover any variations, uses, or adaptive changes of the present disclosure. These variations, uses, or adaptive changes follow the general principles of the present disclosure and include common general knowledge or conventional technical means in the technical field not recorded in the present disclosure. The specification and the embodiments are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. An integrated protection method for gas detection equipment in transformer oil, characterized in that, Applied to a protection platform, the method includes: Collect the first humidity value, the first temperature value of a preset target position of a gas detection device in transformer oil, the first voltage value and the first current value of an electroosmotic unit, and collect the second humidity value and the second temperature value of the current environment; Perform a first adjustment on the refrigeration or heating power of a thermoelectric cooler through a PID control algorithm according to the first humidity value and the first temperature value to obtain the first operating data of the thermoelectric cooler, and perform a second adjustment on the voltage and current parameters of the electroosmotic unit according to the first humidity value, the first temperature value and the first operating data to obtain a second voltage value and a second current value; Input the second humidity value and the second temperature value into a preset model to obtain target operating data, a target voltage value and a target current value, calculate a first difference between the first humidity value and the second humidity value, and a second difference between the first temperature value and the second temperature value, and determine an adjustment direction and an adjustment amplitude according to the first difference and the second difference; Determine second operating data according to the target operating data, the first operating data, the adjustment direction and the adjustment amplitude, determine a third voltage value and a third current value according to the target voltage value, the target current value, the second voltage value, the second current value, the adjustment direction and the adjustment amplitude, adjust the thermoelectric cooler according to the second operating data, and adjust the electroosmotic unit according to the third voltage value and the third current value.

2. The comprehensive protection method for the gas detection equipment in transformer oil according to claim 1, characterized in that The performing a first adjustment on the refrigeration or heating power of a thermoelectric cooler through a PID control algorithm according to the first humidity value and the first temperature value to obtain the first operating data of the thermoelectric cooler includes: Calculate the minimum temperature deviation between the first temperature value and a preset target temperature range, and calculate the required refrigeration or heating power through a PID control algorithm according to the minimum temperature deviation; Adjust the current direction and magnitude of the thermoelectric cooler according to the refrigeration or heating power to adjust the first temperature value within the target temperature range; Record the first operating data of the thermoelectric cooler during the first adjustment process, where the first operating data includes the actual refrigeration or heating power of the thermoelectric cooler, the current direction and magnitude, and the change trend of the first temperature value.

3. The comprehensive protection method for the gas detection device in transformer oil according to claim 2, characterized in that, The performing a second adjustment on the voltage and current parameters of the electroosmotic unit according to the first humidity value, the first temperature value and the first operating data to obtain a second voltage value and a second current value includes: Calculate the minimum humidity deviation between the first humidity value and a preset target humidity range, and calculate the second voltage value and the second current value of the electroosmotic unit through a simulation module according to the minimum temperature deviation, the minimum humidity deviation and the first operating data, so that the operating efficiency of the electroosmotic unit is greater than or equal to a first threshold and the first humidity value is adjusted within the preset target humidity range.

4. The comprehensive protection method for the gas detection device in transformer oil according to claim 1, characterized in that The inputting the second humidity value and the second temperature value into a preset model to obtain target operating data, a target voltage value and a target current value includes: The preset model is obtained by training historical data using a machine learning algorithm to establish a mapping relationship between environmental parameters and device operating parameters; The second humidity value and the second temperature value are input into the preset model to obtain the optimal operating parameters of the thermoelectric cooler and the electroosmotic unit in the current environment. The optimal operating parameters include target operating data, a target voltage value, and a target current value. The target operating data includes the target cooling or heating power of the thermoelectric cooler, and the target voltage value and the target current value are parameters for the electroosmotic unit to achieve the optimal operating efficiency under the current environmental conditions.

5. The comprehensive protection method for the gas detection device in transformer oil according to claim 1, characterized in that, The determining of the adjustment direction and adjustment amplitude according to the first difference and the second difference includes: Determining whether the first difference and / or the second difference is greater than a second threshold; When the first difference and / or the second difference is greater than the second threshold, determining the adjustment direction as increasing the weights of the first operating data, the second voltage value, and the second current value, and decreasing the weights of the target operating data, the target voltage value, and the target current value; When both the first difference and the second difference are less than or equal to the second threshold, determining the adjustment direction as increasing the weights of the target operating data, the target voltage value, and the target current value, and decreasing the weights of the first operating data, the second voltage value, and the second current value; Determining the adjustment amplitude of the weights according to the third difference between the maximum value of the first difference and the second difference and the second threshold.

6. The comprehensive protection method for the gas detection equipment in transformer oil according to claim 5, characterized in that, The determining of the adjustment amplitude of the weights according to the third difference between the maximum value of the first difference and the second difference and the second threshold includes: Calculating the product of the third difference and a preset adjustment amplitude coefficient as the first adjustment amplitude, determining the second adjustment amplitude according to the current environment, and adding the first adjustment amplitude and the second adjustment amplitude to obtain the adjustment amplitude.

7. The comprehensive protection method for the gas detection device in transformer oil according to claim 5, characterized in that, The determining of the second operating data according to the target operating data, the first operating data, the adjustment direction, and the adjustment amplitude includes: Determining a first weight of the first operating data and a second weight of the target operating data according to the adjustment direction and the adjustment amplitude; Calculating a first product of the first operating data and the first weight, and calculating a second product of the target operating data and the second weight, and calculating the sum of the first product and the second product to determine the second operating data.

8. An integrated protection system for a gas detection device in transformer oil, characterized in that, Including a collection module, an adjustment module, a calculation module, and an execution module, where: The collection module is configured to collect a first humidity value and a first temperature value at a preset target position of a gas detection device in transformer oil, a first voltage value and a first current value of an electroosmotic unit, and a second humidity value and a second temperature value of the current environment; An adjustment module, configured to perform a first adjustment on the cooling or heating power of a thermoelectric cooler according to the first humidity value and the first temperature value through a PID control algorithm to obtain first operation data of the thermoelectric cooler, and perform a second adjustment on the voltage and current parameters of the electroosmosis unit according to the first humidity value, the first temperature value, and the first operation data to obtain a second voltage value and a second current value; A calculation module, configured to input the second humidity value and the second temperature value into a preset model to obtain target operation data, a target voltage value, and a target current value, calculate a first difference between the first humidity value and the second humidity value, and a second difference between the first temperature value and the second temperature value, and determine an adjustment direction and an adjustment amplitude according to the first difference and the second difference; An execution module, configured to determine second operation data according to the target operation data, the first operation data, the adjustment direction, and the adjustment amplitude, determine a third voltage value and a third current value according to the target voltage value, the target current value, the second voltage value, the second current value, the adjustment direction, and the adjustment amplitude, adjust the thermoelectric cooler according to the second operation data, and adjust the electroosmosis unit according to the third voltage value and the third current value.

9. An electronic device, characterized in that, Comprising a processor, a memory, a user interface, and a network interface, the memory is used for storing instructions, the user interface and the network interface are both used for communicating with other devices, and the processor is used for executing the instructions stored in the memory so that the electronic device executes the method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1-7 is executed.

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