Intelligent anti-corrosion atomization cooling method and system for main transformer and storage medium

Abstract

The invention discloses an intelligent anti-corrosion atomization cooling method and system for a main transformer and a storage medium, and relates to the technical field of electric power, and the method comprises the steps: monitoring the temperature of n target monitoring nodes of the main transformer in real time; inputting the obtained temperatures of the n target monitoring nodes into a pre-constructed temperature field model to obtain temperature distribution of different parts of the main transformer; obtaining transformer information of the main transformer, and determining the reliability of different parts of the main transformer according to the transformer information and the temperature distribution of the different parts of the main transformer; under the condition that the reliability of one or more parts of the main transformer is lower than a preset expected value, determining a preferential cooling part of the main transformer, and determining a target cooling spray head according to the preferential cooling part; controlling the target nozzle to emit water mist to the main transformer; an anti-corrosion instruction is sent to a feeding control device; and the proportion of the anti-rust material fed into the water collecting tank is controlled, so that the anti-rust material is diffused to the main transformer through the cooling spray head, and the anti-rust effect of the main transformer is achieved.

Description

Technical Field

[0001] This application relates to the field of power technology, and particularly to an intelligent anti-rust atomization cooling method, system and storage medium for main transformers. Background Art

[0002] The main transformer is an important device in the power system, playing an important role in transmitting and distributing electric energy. Its operating state has an important impact on the stable operation of the power grid and the power quality. Therefore, the safe operation of the main transformer is crucial for the stability of the power system.

[0003] In seasons with high temperatures or in indoor substations with poor ventilation conditions, due to the large power load carried by the main transformer, the temperature of the main transformer will rise during operation, seriously affecting the safe operation of the transformer and the power grid safety.

[0004] Currently, the main methods for cooling the main transformer include water spraying, installing fans, installing air conditioners, fog guns, transporting ice cubes, etc. However, using the methods of water spraying or fog guns is prone to the problem of accelerating the corrosion of the transformer. At the same time, if the temperature is reduced too much, it will cause the insulators of the transformer to flash; installing fans and installing air conditioners will have the problem of too much noise, and for indoor transformers, not only will it not play a role in cooling, but it will also increase the indoor temperature; transporting ice cubes is time-consuming and laborious. There is no cooling method in the prior art that can effectively avoid the above problems. Summary of the Invention

[0005] The purpose of the embodiments of this application is to provide an intelligent anti-rust atomization cooling method, system and storage medium for main transformers, so as to provide a new cooling method to effectively avoid the problems that occur in the cooling methods in the prior art.

[0006] To achieve the above purpose, the first aspect of this application provides an intelligent anti-rust atomization cooling method for main transformers, which is applied to an atomization cooling system. The atomization cooling system includes an infrared temperature measurement device, an atomization device, a feeding control device, a water collecting tank and a control host. The atomization device includes at least two cooling nozzles. The method includes: Real-time monitoring the temperature of n target monitoring nodes of the main transformer through the infrared temperature measurement device, where n is an integer greater than 1, and different target monitoring nodes are distributed in different parts of the main transformer; Through the control host, input the temperatures of the n target monitoring nodes obtained into the temperature field model pre-constructed by the control host to obtain the temperature distribution of different parts of the main transformer; and Obtain the transformer information of the main transformer, and determine the reliability of different parts of the main transformer according to the transformer information and the temperature distribution of different parts of the main transformer; and When the reliability of one or more of the main transformers is lower than a preset expected value, determine the priority cooling parts of the main transformer, and determine the target cooling nozzles of the atomizing device according to the priority cooling parts; Control the target nozzles of the atomizing device by the control host to emit water mist to the main transformer to cool the main transformer; and Send an anti-corrosion instruction to the feed control device; Control the proportion of anti-corrosion materials entering the water collecting tank by the feed control device, so as to emit the anti-corrosion materials to the main transformer through the cooling nozzles of the atomizing device to achieve anti-corrosion of the main transformer, wherein the anti-corrosion materials include water and anti-corrosion agents.

[0007] In the embodiment of the present application, the steps for the control host to construct the temperature field model include: Obtain the historical data of the main transformer, where the historical data includes the temperatures of the target monitoring nodes at different parts of the main transformer; Extract features from the historical data to obtain temperature features, where the temperature features are temperature values at different parts, and the temperature features include a training set, a validation set, and a test set; According to the temperature features, map the temperature values of different parts of the main transformer into a two-dimensional plane to generate a two-dimensional temperature distribution image, where one pixel in the two-dimensional temperature distribution image is a temperature value of one part; Use the two-dimensional temperature distribution image as input data to construct a convolutional neural network model; Use the training set to train the convolutional neural network model, use the validation set to validate the convolutional neural network model, and use the test set to test the convolutional neural network in sequence to obtain a temperature field model.

[0008] In the embodiment of the present application, determining the reliability of different parts of the main transformer according to the transformer information and the temperature distribution of different parts of the main transformer includes: For the temperature of each part of the main transformer, use a reliability operation formula to obtain the reliability of each part of the main transformer; Summarize the reliability of each part of the main transformer to obtain the reliability of all parts of the main transformer; Wherein, the reliability operation formula includes: ; In the formula, Rb is the reliability of the part of the main transformer, n is the number of target monitoring nodes, tiis the preset reliability of each of the target monitoring nodes, Ea is the first constant, k is the second constant, T is the temperature of any part of the main transformer.

[0009] In the embodiment of the present application, when the reliability of one or more parts of the main transformer is lower than the preset expected value, determining the priority cooling part of the main transformer, and determining the target cooling nozzle of the atomizing device according to the priority cooling part, includes: When the reliability of one or more parts of the main transformer is lower than the preset expected value, taking the part of the main transformer with the lowest reliability as the main cooling part, and determining the priority cooling part according to the heat conduction path between the main cooling part and the components of the main transformer; According to the priority cooling part, determining the cooling nozzles of the atomizing device within a preset range around the priority cooling part, and obtaining the environmental information of the main transformer, the real-time temperature data of each target monitoring node, the atomizing information of the atomizing device, and the coordinates of the priority cooling part; Taking the environmental information of the main transformer, the real-time temperature data of each target monitoring node, the atomizing information of the atomizing device, and the coordinates of the priority cooling part as inputs, and using a preset cooling prediction model to determine the cooling efficiency of each cooling nozzle for the priority cooling part; Taking the cooling nozzle with the maximum cooling efficiency as the target cooling nozzle of the atomizing device.

[0010] In the embodiment of the present application, the determining the priority cooling part according to the heat conduction path between the main cooling part and the components of the main transformer includes: Starting from the main cooling part, determining the heat conduction components directly connected to the main cooling part, and obtaining the component information of the heat conduction components, where the heat conduction components are on the heat conduction path of the main cooling part, and the component information includes heat capacity, thermal conductivity, and contact state; According to the heat capacity, the thermal conductivity, and the contact state of the heat conduction component, determining the heat contribution of the heat conduction component to the main cooling component through a preset heat contribution calculation formula, and taking the main cooling component with the maximum heat contribution as the priority cooling part.

[0011] In the embodiment of the present application, the atomizing information of the atomizing device includes the temperature, flow rate, spraying direction, and spraying intensity of the atomized water.

[0012] In an embodiment of the present application, after obtaining the transformer information of the main transformer and determining the reliability of different parts of the main transformer according to the transformer information and the temperature distribution of different parts of the main transformer, it includes: Obtaining the lowest reliability of the main transformer when the temperature of the main transformer reaches a preset temperature according to the reliability operation formula; Calculating the temperature value that needs to be reduced for the main transformer to reach the preset safe reliability from the lowest reliability according to the reliability operation formula; Determining the early start time range of the atomizing device according to the temperature value that needs to be reduced for the main transformer to reach the preset safe reliability from the lowest reliability and the preset temperature reduction rate range of the atomizing device, so as to start the atomizing device to cool the main transformer within the early start time range.

[0013] A second aspect of the present application provides an atomizing cooling system, including a main transformer, an infrared temperature measuring device, an atomizing device, a feeding control device, a water collecting tank and a control host. The infrared temperature measuring device, the atomizing device and the feeding control device are all connected to the control host. The atomizing device includes at least two cooling nozzles; The infrared temperature measuring device is used to monitor the temperature of n target monitoring nodes of the main transformer in real time, where n is an integer greater than 1, and different target monitoring nodes are distributed in different parts of the main transformer; The control host is used to input the temperatures of the n target monitoring nodes obtained into a temperature field model pre-constructed by the control host to obtain the temperature distribution of different parts of the main transformer; and Obtaining the transformer information of the main transformer, and determining the reliability of different parts of the main transformer according to the transformer information and the temperature distribution of different parts of the main transformer; and In the case where the reliability of one or more parts of the main transformer is lower than a preset expected value, determining the priority cooling parts of the main transformer, and determining the target cooling nozzles of the atomizing device according to the priority cooling parts; and Controlling the target nozzles of the atomizing device to emit water mist to the main transformer to cool the main transformer; and Sending an anti-corrosion instruction to the feeding control device; The feeding control device is used to control the proportion of anti-corrosion materials fed into the water collecting tank, so as to disperse the anti-corrosion materials to the main transformer through the cooling nozzles of the atomizing device to achieve anti-corrosion of the main transformer, where the anti-corrosion materials include water and anti-corrosion agents.

[0014] In an embodiment of the present application, the atomization device further includes a pressure pump, and a float valve is provided in the water collecting tank; The pressure pump is used to provide water pressure to achieve atomization; The float valve is used to control the water inflow of the water collecting tank.

[0015] A third aspect of the present application provides a machine-readable storage medium, on which instructions are stored, and the instructions are used to cause a machine to execute the above-mentioned intelligent anti-corrosion atomization cooling method for the main transformer.

[0016] Through the above technical solutions, by spraying anti-rust materials on the main transformer during the cooling process, the corrosion rate of the main transformer can be effectively slowed down. At the same time, by controlling the main machine to construct a temperature field model, the reliability of different parts of the main transformer is determined. When the reliability of some parts is lower than the preset value, the priority cooling parts are determined and the target cooling nozzles of the atomization device are used to cool the main transformer. This technical solution determines the parts that need to be cooled according to the temperature distribution of different parts of the main transformer, which can avoid the problem of insulator flash caused by over-cooling, and there is no need to install equipment and transport ice cubes, solving the problems of too much noise, time-consuming and laborious.

[0017] Other features and advantages of the embodiments of the present application will be described in detail in the subsequent specific implementation part. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings are used to provide a further understanding of the embodiments of the present application, and constitute a part of the specification. Together with the following specific implementation manners, they are used to explain the embodiments of the present application, but do not constitute a limitation to the embodiments of the present application. In the drawings: Figure 1 Schematically shows a structural diagram of an atomization cooling system according to an embodiment of the present application; Figure 2 Schematically shows an overall flowchart of an intelligent anti-corrosion atomization cooling method for a main transformer according to an embodiment of the present application.

[0019] DESCRIPTION OF THE REFERENCE NUMERALS DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] To make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It should be understood that the specific implementation manners described herein are only used to explain and illustrate the embodiments of the present application, and are not used to limit the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of the present application.

[0021] It should be noted that if there are directional indications (such as up, down, left, right, front, back...) involved in the embodiments of the present application, the directional indications are only used to explain the relative positional relationship, movement conditions, etc. between components in a certain specific posture (as shown in the drawings). If the specific posture changes, the directional indications will also change accordingly.

[0022] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present application, the descriptions of "first", "second", etc. are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions between various embodiments can be combined with each other, but it must be based on the ability of those of ordinary skill in the art to implement. When the combination of technical solutions results in contradictions or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by the present application.

[0023] Figure 1 Schematically shows a structural diagram of an atomizing cooling system according to an embodiment of the present application. As Figure 1 shown, the embodiment of the present application provides an atomizing cooling system, including a main transformer 6, an infrared temperature measuring device 2, an atomizing device, a feeding control device 11, a water collecting tank 10, and a control host 1. The infrared temperature measuring device 2, the atomizing device, and the feeding control device 11 are all connected to the control host 1. The atomizing device includes a pressure pump 3 and at least two cooling nozzles 8.

[0024] A number of target monitoring nodes 7 are provided on the main transformer 6, and each target monitoring node 7 is distributed in different parts of the main transformer 6. In this embodiment, the target monitoring nodes 7 are distributed in parts related to the oil temperature of the main transformer 6, including the oil tank, the cooler, and the winding. It should be noted that Figure 1 the target monitoring nodes 7 in are only for illustrative purposes, and the specific target monitoring nodes 7 can also be distributed in other parts, which are not limited herein.

[0025] Among them, the infrared temperature measurement device 2 is used to monitor the temperature of different components of the main transformer 6 in real time; the atomization device is used to atomize water into tiny water droplets, which are dispersed onto the main transformer 6 through the cooling nozzles 8, thereby achieving the cooling effect on the main transformer 6. The atomization device includes at least two cooling nozzles 8, which can achieve targeted cooling of different parts of the main transformer 6; the feed control device 11 is used to control the water inflow of the water collection tank 10. By controlling the water inflow, the water volume required by the atomization device can be adjusted to maintain the normal operation of the atomization device; a float valve 9 is provided in the water collection tank 10, and the pressure pump 3 is connected to the control host 1. The pressure pump 3 provides water pressure to achieve the atomization process, and the float valve 9 is used to control the water inflow of the water collection tank 10 to maintain the stability and balance of the water volume; the control host 1 is used for the control and scheduling of the atomization cooling system. By receiving the monitoring data of the infrared temperature measurement device 2, the cooling strategy can be determined and the operation of the atomization device can be controlled to achieve the cooling and anti-corrosion control of the main transformer 6.

[0026] In this embodiment, a booster pump 4 is provided at the water outlet of the water collection tank 10 for transmitting water to the pressure pump 3 for treatment.

[0027] The anti-rust material in the water collection tank 10 includes water and anti-rust agent. Specifically, the anti-rust agent is a pre-film agent passivating metal anti-rust agent, and the anti-rust agent is added to the water at a ratio of 2 - 5 kilograms per ton of water. The anti-rust material can be sprinkled on the metal radiator of the main transformer 6 through the pressure pump 3 and the cooling nozzles 8, and a protective film can be formed on the metal surface of the metal radiator of the main transformer 6 within 24 hours to isolate the oxygen in the air, thereby protecting the metal surface and the corroded metal surface and delaying the corrosion rate.

[0028] In addition, in the embodiment of the present application, a water collection tank with a proportioned anti-rust material is provided in front of the pressure water pump, and the pre-film agent passivating metal anti-rust agent is supplemented to the incoming water at a ratio of 20 liters per month, thereby achieving continuous protection of the metal radiator of the main transformer 6, avoiding corrosive damage, and extending the service life of the equipment. In the embodiment of the present application, the atomization cooling system does not need to install equipment and transport ice cubes, solving the problems of too much noise, time-consuming and laborious; at the same time, the anti-rust material can effectively slow down the corrosion rate of the transformer. In order to effectively prevent excessive cooling and cause insulator flashover of the main transformer, the embodiment of the present application also provides a method for intelligent anti-corrosion atomization cooling of the main transformer, referring to Figure 2 which shows a schematic flow chart of a method for intelligent anti-corrosion atomization cooling of a main transformer according to an embodiment of the present application.

[0029] The embodiment of the present application provides a method for intelligent anti-corrosion atomization cooling of a main transformer, which is applied to an atomization cooling system. The atomization cooling system includes an infrared temperature measurement device, an atomization device, a feed control device, a water collection tank and a control host. The atomization device includes at least two cooling nozzles. The method may include the following steps.

[0030] S101. Monitor the temperatures of n target monitoring nodes of the main transformer in real time through an infrared temperature measurement device, where n is an integer greater than 1, and different target monitoring nodes are distributed in different parts of the main transformer.

[0031] In this embodiment, the target monitoring nodes are distributed in parts related to the oil temperature of the main transformer, including the oil tank, cooler, and winding.

[0032] S102. Through the control host, input the temperatures of the n target monitoring nodes obtained into the temperature field model pre-constructed by the control host to obtain the temperature distribution of different parts of the main transformer.

[0033] The temperature field model is used to simulate the temperature distribution of different parts of the main transformer. By inputting the temperature data of the target monitoring nodes into the temperature field model through the control host, the temperature distribution of different parts of the main transformer can be obtained according to the operation output of the temperature field model. Based on the temperature distribution, the control host can determine which parts have higher or lower temperatures, so as to determine whether cooling measures are needed, realizing precise control and scheduling of the main transformer, and effectively avoiding potential safety hazards caused by excessive cooling or too high temperatures in some parts.

[0034] S103. Through the control host, obtain the transformer information of the main transformer, and determine the reliability of different parts of the main transformer according to the transformer information and the temperature distribution of different parts of the main transformer.

[0035] Different parts of the main transformer bear different temperatures and pressures during operation, which will directly affect the reliability of the main transformer. According to the temperature distribution of different parts, it is possible to judge the parts with relatively high temperatures, which may have overload or other problems, thus affecting the reliability of the main transformer.

[0036] Combining the temperature distribution of different parts with the transformer information can evaluate the temperature distribution of different parts and determine the reliability of different parts of the main transformer.

[0037] S104. When the reliability of one or more parts of the main transformer is lower than the preset expected value through the control host, determine the priority cooling parts of the main transformer, and determine the target cooling nozzles of the atomization device according to the priority cooling parts.

[0038] When the reliability of a certain or multiple parts of the main transformer is lower than the preset expected value through the control host, there may be safety risks in the above parts due to too high temperatures. In the above situation, the parts that need to be cooled first, that is, the priority cooling parts, can be determined according to the reliability of one or more parts of the main transformer.

[0039] In this embodiment, the cooling nozzle closest to the priority cooling part or within a preset range from the priority cooling part can be used as the target cooling nozzle.

[0040] It shows that the atomization device can perform targeted cooling operations on the priority cooling part to ensure that the temperature of the priority cooling part is reduced to a safe level, thereby improving the overall reliability of the main transformer.

[0041] In addition, through targeted cooling operations, the possibility of over-cooling other parts is effectively reduced.

[0042] S105. The control host controls the target nozzle of the atomization device to emit water mist to the main transformer to cool the main transformer.

[0043] S106. The control host issues an anti-corrosion instruction to the feed control device.

[0044] S107. The feed control device controls the proportion of the anti-corrosion material fed into the water collection tank, and the anti-corrosion material is emitted to the main transformer through the cooling nozzle of the atomization device to achieve anti-corrosion of the main transformer, where the anti-corrosion material includes water and anti-corrosion agent.

[0045] In the embodiment of the present application, the control host controls the target nozzle of the atomization device to emit water mist to the main transformer to reduce the temperature of the main transformer by means of evaporative cooling. The mixed anti-corrosion material is emitted to the surface of the main transformer through the cooling nozzle of the atomization device to achieve anti-corrosion protection of the main transformer.

[0046] In one implementation manner of this embodiment, the steps for the control host to construct the temperature field model include the following steps: S201. Obtain the historical data of the main transformer, where the historical data includes the temperatures of the target monitoring nodes at different parts of the main transformer.

[0047] S202. Extract features from the historical data to obtain temperature features. The temperature features are temperature values at different parts, and the temperature features include a training set, a validation set, and a test set.

[0048] The temperature features represent the temperature values at different parts, and the training set, the validation set, and the test set are respectively used for the training, validation, and testing phases of the model.

[0049] S203. According to the temperature features, map the temperature values of different parts of the main transformer into a two-dimensional plane to generate a two-dimensional temperature distribution image, where one pixel in the two-dimensional temperature distribution image is a temperature value of one part.

[0050] S204. Use the two-dimensional temperature distribution image as input data to construct a convolutional neural network model.

[0051] A Convolutional Neural Network (CNN) is a deep learning model (hereinafter referred to as the CNN model). The CNN model can identify local patterns and features in images and is suitable for processing and analyzing image-based data.

[0052] Specifically, the core of the CNN model consists of a Convolutional Layer, a Pooling Layer, and a Fully Connected Layer.

[0053] The Convolutional Layer is a basic component of the CNN model. By performing a convolution operation on the input data using a filter, it extracts features from the data. The convolution operation can effectively capture local features and retain spatial structure information, thus being suitable for processing two-dimensional data such as images.

[0054] The Pooling Layer is used to perform downsampling operations on the output of the Convolutional Layer, reducing the dimensionality and the number of parameters of the data while maintaining the invariance of the features. Pooling operations include Max Pooling and Average Pooling.

[0055] The Fully Connected Layer is responsible for mapping the features extracted by the Convolutional Layer and the Pooling Layer to the final output classes. The neurons in the Fully Connected Layer are connected to all neurons in the previous layer, and they learn weights and biases to achieve feature combination and classification.

[0056] The CNN model gradually extracts more abstract and complex features through the stacking of multiple Convolutional Layers and Pooling Layers, and finally realizes the regression prediction of the input data through the Fully Connected Layer.

[0057] S205. Use the training set to train the convolutional neural network model, use the validation set to validate the convolutional neural network model, and use the test set to test the convolutional neural network to obtain a temperature field model.

[0058] First, use the training set data to train the CNN model so that the model learns how to predict the temperature based on the input two-dimensional temperature distribution image. Then, use the validation set data to test the generalization ability of the model and adjust the model parameters to improve the prediction accuracy. Finally, use the test set data to evaluate the final performance of the model to ensure that the model can accurately predict the temperature distribution of different parts of the main transformer.

[0059] This embodiment establishes a temperature field model constructed based on historical temperature data, analyzes the temperature distribution of the main transformer in an image-based manner, and uses the convolutional neural network model to learn and predict temperature features to achieve accurate prediction and analysis of the temperature distribution of the main transformer.

[0060] In one implementation manner of this embodiment, according to the transformer information and the temperature distribution of different parts of the main transformer, the reliability of different parts of the main transformer is determined, including the following steps: S301. For the temperature of each part of the main transformer, use the reliability operation formula to obtain the reliability of each part of the main transformer.

[0061] S302. Summarize the reliability of each part of the main transformer to obtain the reliability of all parts of the main transformer.

[0062] Among them, the reliability operation formula includes: ; In the formula, Rb is the reliability of the part of the main transformer, n is the number of target monitoring nodes, ti is the preset reliability of each target monitoring node, Ea is the first constant, k is the second constant, T is the temperature of any part of the main transformer.

[0063] This implementation manner helps to monitor the operating state of the main transformer by obtaining the reliability of all parts of the main transformer, so as to determine whether the main transformer is safe and stable.

[0064] In one implementation manner of this embodiment, in the case where the reliability of one or more parts of the main transformer is lower than the preset expected value, determine the priority cooling parts of the main transformer, and determine the target cooling nozzles of the atomizing device according to the priority cooling parts, including the following steps: S401. In the case where the reliability of one or more parts of the main transformer is lower than the preset expected value, take the part of the main transformer with the lowest reliability as the main cooling part, and determine the priority cooling parts according to the heat conduction path between the main cooling part and the components of the main transformer.

[0065] By determining the part of the main transformer with the lowest reliability as the main cooling part and considering the heat conduction path between components, it is determined which parts need to be cooled preferentially. This helps to concentrate resources and measures to cool the parts of the main transformer that need the most attention.

[0066] Among them, the heat conduction path refers to the path through which heat conducts in an object or material. The conduction of heat means that heat conducts from a place with a higher temperature to a place with a lower temperature. In an object or material, heat can be transferred through conduction, convection, and thermal radiation. In this embodiment, the heat conduction path refers to analyzing the heat conduction process between different components of the main transformer to determine the temperature change and the path of heat transfer. This helps to determine which parts need to be cooled preferentially and how to cool them effectively to ensure the safe operation of the main transformer.

[0067] S402. According to the preferential cooling parts, determine the cooling nozzles of the atomizing device within a preset range around the preferential cooling parts, and obtain the environmental information of the main transformer, the real-time temperature data of each target monitoring node, the atomizing information of the atomizing device, and the coordinates of the preferential cooling parts.

[0068] According to the main cooling parts, determine the positions of the cooling nozzles of the atomizing device within a preset range around these parts. At the same time, obtain the environmental information of the main transformer, the real-time temperature data, the atomizing information of the atomizing device, and the coordinates of the cooling parts, so as to prepare for the next cooling operation.

[0069] S403. Take the environmental information of the main transformer, the real-time temperature data of each target monitoring node, the atomizing information of the atomizing device, and the coordinates of the preferential cooling parts as inputs, and use a preset cooling prediction model to determine the cooling efficiency of each cooling nozzle for the preferential cooling parts.

[0070] Specifically, the atomizing information of the atomizing device includes the temperature, flow rate, spraying direction, and spraying force of the atomized water.

[0071] Use a preset cooling prediction model, combined with the environmental information, real-time temperature data, atomizing information, and coordinates of the cooling parts of the main transformer, to determine the cooling efficiency of each cooling nozzle for the main cooling parts. This helps to select the most effective cooling strategy.

[0072] S404. Take the cooling nozzle with the maximum cooling efficiency as the target cooling nozzle of the atomizing device.

[0073] According to the evaluation of the cooling efficiency, select the cooling nozzle with the maximum cooling efficiency as the target cooling nozzle of the atomizing device. This can effectively ensure the maximum efficiency during the cooling process and effectively reduce the temperature of the main transformer.

[0074] This embodiment can determine the preferential cooling parts of the main transformer and determine the target cooling nozzles of the atomizing device according to these parts, so as to achieve targeted cooling of the main transformer, improve the cooling efficiency, and ensure the safe operation of the main transformer.

[0075] In one implementation of this embodiment, according to the heat conduction path between the main cooling part and the components of the main transformer, the priority cooling part is determined, including the following steps: S501. Starting from the main cooling part, determine the heat conduction components directly connected to the main cooling part, and obtain the component information of the heat conduction components. Among them, the heat conduction components are located on the heat conduction path of the main cooling part, and the component information includes heat capacity, thermal conductivity, and contact state.

[0076] Obtain the component information of the heat conduction components, including heat capacity, thermal conductivity, and contact state. This is to facilitate the analysis of the heat conduction relationship between the main cooling part and other components.

[0077] S502. According to the heat capacity, thermal conductivity, and contact state of the heat conduction components, through a preset heat contribution calculation formula, determine the heat contribution of the heat conduction components to the main cooling component, and take the main cooling component with the largest heat contribution as the priority cooling part.

[0078] The heat contribution calculation formula is an algorithm that calculates and evaluates the degree of heat contribution of the heat conduction components to the main cooling part according to parameters such as heat capacity, thermal conductivity, and contact state.

[0079] Specifically, according to the size of the heat capacity, the heat capacity contribution of the component can directly affect the temperature change of the main cooling part. A larger heat capacity means that the component can absorb more heat, thereby reducing the heat conducted to the main cooling part; thermal conductivity represents the ability of the component to conduct heat. A component with higher thermal conductivity can more effectively conduct heat to other components or the environment, rather than conducting heat to the main cooling part; the contact state between the component and the main cooling part will also affect the heat conduction contribution. If the component is in direct contact or close contact with the main cooling part, the heat conduction will be more significant. On the contrary, if there is an isolation layer or poor contact between them, the heat conduction may be weakened.

[0080] In this embodiment, the heat contribution calculation formula can be: Heat contribution = ωc × C + ωk × K + ωa × A; A = ; In the formula, C is the heat capacity, representing the heat capacity of the component; K is the thermal conductivity, representing the thermal conductivity of the component; A is the contact state, representing the contact state between the component and the main cooling part; m is the contact quality, representing the mass contact degree between the contact surfaces; S is the contact area, representing the effective contact area between the contact surfaces; f is the contact pressure, representing the pressure applied on the contact surface; ωc, ωk, and ωa are weight coefficients used to adjust the relative importance of each factor.

[0081] Specifically, the contact quality can be divided into excellent contact quality, good contact quality, and poor contact quality. Excellent contact quality indicates good contact between surface A and surface B with no obvious gaps; good contact quality indicates that the gap between surface A and surface B is less than the preset gap value or there is incomplete contact; poor contact quality indicates obvious gaps or defects between surface A and surface B and poor contact.

[0082] A qualitative rating can be assigned to the contact quality. For example: excellent contact quality = 1, good contact quality = 0.7, poor contact quality = 0.3.

[0083] The contact area refers to the effective area of actual contact between surface A and surface B, which can be obtained through measurement or calculation; the contact pressure is the pressure applied between surface A and surface B, which can be obtained through experimental measurement or calculation.

[0084] Suppose our contact quality is good contact quality (0.7), the contact area is 10 square centimeters, and the contact pressure is 10 Newtons per square centimeter (N / cm²).

[0085] A = 0.7×10 / 10 = 0.7; The following weight coefficients are also assigned: ωc = 0.4, ωk = 0.3, ωa = 0.3.

[0086] For a heat conduction component with a heat capacity of 50 (unit: J / °C), a heat conduction performance of 0.8 (unit: J / (s·m·°C)), and a contact state of 0.7 (0.7 indicates good contact and 0.3 indicates poor contact), its heat contribution is: Heat contribution = 0.4×50 + 0.3×0.8 + 0.3×0.9 = 20 + 0.24 + 0.27 = 20.51.

[0087] In this embodiment, according to the heat conduction relationship between the main cooling part and other components, the component that has the greatest impact on the main cooling part is determined, thereby determining the priority cooling part. This helps to cool in a targeted manner, improve the cooling efficiency, and ensure the safe operation of the main transformer.

[0088] In one implementation of this embodiment, after obtaining the transformer information of the main transformer and determining the reliability of different parts of the main transformer according to the transformer information and the temperature distribution of different parts of the main transformer, the following steps are included: S601. Obtain the lowest reliability of the main transformer when the temperature of the main transformer reaches the preset temperature according to the reliability operation formula.

[0089] According to the reliability operation formula, calculate the lowest reliability level of the main transformer when the temperature reaches the preset maximum temperature value.

[0090] S602. Calculate the temperature reduction value required for the main transformer to decrease from the lowest reliability to the preset safe reliability according to the reliability operation formula.

[0091] Calculate the temperature reduction value required for the main transformer to decrease from the lowest reliability level to the preset safe reliability level according to the reliability operation formula. Herein, the temperature reduction value refers to the temperature difference required to reduce the temperature of the device or system from the current value to the target value.

[0092] S603. Determine the early start time range of the atomization device according to the temperature reduction value required for the main transformer to decrease from the lowest reliability to the preset safe reliability and the preset temperature reduction rate range of the atomization device, so as to start the atomization device to cool down the main transformer within the early start time range.

[0093] Determine an appropriate early start time range according to the temperature value that the main transformer needs to be cooled down and the preset temperature reduction rate range of the atomization device, so as to start the atomization device to cool down the main transformer within this time range, which helps to accurately control the cooling process and ensure that the main transformer operates within the safe reliability range.

[0094] The temperature reduction rate range represents the rate range at which the atomization device can reduce the temperature of the main transformer per unit time. Divide the required temperature reduction value by the upper limit and the lower limit of the preset temperature reduction rate of the atomization device respectively to obtain the early start time range. Start the atomization device to cool down the main transformer within the early start time range.

[0095] This embodiment uses the reliability operation formula to determine the reliability of the main transformer and calculate the temperature reduction value required to decrease from the lowest reliability to the preset safe reliability. Then, according to the preset temperature reduction rate range of the atomization device, determine the early start time range of the atomization device, so as to start the atomization device to cool down the main transformer within this range. Determine the start time range of the atomization device according to the reliability and cooling requirements of the main transformer, so as to achieve precise cooling of the main transformer and ensure the safe operation of the equipment.

[0096] The embodiment of the present application also provides a machine-readable storage medium, on which instructions are stored, and the instructions are used to make the machine execute the above-mentioned intelligent anti-rust atomization cooling method for the main transformer.

[0097] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code.

[0098] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0099] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0100] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0101] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0102] The memory may include non-permanent memory in the form of computer-readable media, random access memory (RAM), and / or non-volatile memory such as read-only memory (ROM) or flash memory (flash RAM). The memory is an example of computer-readable media.

[0103] A computer-readable medium includes both permanent and non-permanent, removable and non-removable media and can implement information storage by any method or technology. The information may be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer-readable medium does not include transitory media such as modulated data signals and carrier waves.

[0104] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or apparatus comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or apparatus. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising the element.

[0105] The above are only embodiments of the present application and are not used to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. An intelligent anti-rust and atomizing cooling method for main transformers, characterized in that, Applied to an atomization cooling system, the atomization cooling system includes an infrared temperature measurement device, an atomization device, a feed control device, a water collection tank, and a control host. The atomization device includes at least two cooling nozzles. The method includes: Real-time monitoring the temperatures of n target monitoring nodes of the main transformer through the infrared temperature measurement device, where n is an integer greater than 1, and different ones of the target monitoring nodes are distributed in different parts of the main transformer; Inputting the temperatures of the n target monitoring nodes obtained into a temperature field model pre-constructed by the control host through the control host to obtain the temperature distribution of different parts of the main transformer; and Obtaining the transformer information of the main transformer, and determining the reliability of different parts of the main transformer according to the transformer information and the temperature distribution of different parts of the main transformer; and In the case where the reliability of one or more parts of the main transformer is lower than a preset expected value, determining the priority cooling parts of the main transformer, and determining the target cooling nozzles of the atomization device according to the priority cooling parts; Controlling the target nozzles of the atomization device by the control host to emit water mist to the main transformer to cool the main transformer; and Sending an anti-corrosion instruction to the feed control device; Controlling the proportion of the anti-corrosion material fed into the water collection tank through the feed control device, so as to emit the anti-corrosion material to the main transformer through the cooling nozzles of the atomization device to achieve anti-corrosion of the main transformer, where the anti-corrosion material includes water and an anti-corrosion agent.

2. The method according to claim 1, wherein The steps for the control host to construct the temperature field model include: Obtaining the historical data of the main transformer, where the historical data includes the temperatures of the target monitoring nodes of different parts of the main transformer; Performing feature extraction on the historical data to obtain temperature features, where the temperature features are temperature values of different parts, and the temperature features include a training set, a validation set, and a test set; Mapping the temperature values of different parts of the main transformer into a two-dimensional plane according to the temperature features to generate a two-dimensional temperature distribution image, where one pixel in the two-dimensional temperature distribution image is a temperature value of one part; Using the two-dimensional temperature distribution image as input data to construct a convolutional neural network model; Successively training the convolutional neural network model with the training set, validating the convolutional neural network model with the validation set, and testing the convolutional neural network with the test set to obtain a temperature field model.

3. The method according to claim 1, characterized in that The determining the reliability of different parts of the main transformer according to the transformer information and the temperature distribution of different parts of the main transformer includes: For the temperature of each part of the main transformer, using a reliability operation formula to obtain the reliability of each part of the main transformer; Summarizing the reliabilities of each part of the main transformer to obtain the reliabilities of all parts of the main transformer; Wherein, the reliability operation formula includes: ； Wherein, Rb is the reliability of the main transformer part, n is the number of the target monitoring nodes, ti is the preset reliability of each target monitoring node, Ea is the first constant, k is the second constant, T is the temperature of any part of the main transformer.

4. The method according to claim 1, wherein When the reliability of one or more parts of the main transformer is lower than a preset expected value, determining the priority cooling parts of the main transformer, and determining the target cooling nozzles of the atomizing device according to the priority cooling parts, includes: When the reliability of one or more parts of the main transformer is lower than a preset expected value, taking the part of the main transformer with the lowest reliability as the main cooling part, and determining the priority cooling parts according to the heat conduction path between the main cooling part and the components of the main transformer; According to the priority cooling parts, determining the cooling nozzles of the atomizing device within a preset range around the priority cooling parts, and obtaining the environmental information of the main transformer, the real-time temperature data of each target monitoring node, the atomizing information of the atomizing device, and the coordinates of the priority cooling parts; Taking the environmental information of the main transformer, the real-time temperature data of each target monitoring node, the atomizing information of the atomizing device, and the coordinates of the priority cooling parts as inputs, and using a preset cooling prediction model to determine the cooling efficiency of each cooling nozzle for the priority cooling parts; Taking the cooling nozzle with the maximum cooling efficiency as the target cooling nozzle of the atomizing device.

5. The method according to claim 4, characterized in that, The determining the priority cooling parts according to the heat conduction path between the main cooling part and the components of the main transformer includes: Starting from the main cooling part, determining the heat conduction components directly connected to the main cooling part, and obtaining the component information of the heat conduction components, where the heat conduction components are on the heat conduction path of the main cooling part, and the component information includes heat capacity, thermal conductivity, and contact state; According to the heat capacity, the thermal conductivity, and the contact state of the heat conduction components, determining the heat contribution of the heat conduction components to the main cooling component through a preset heat contribution calculation formula, and taking the main cooling component with the maximum heat contribution as the priority cooling part.

6. The method according to claim 4, wherein The atomizing information of the atomizing device includes the temperature, flow rate, spraying direction, and spraying force of the atomized water.

7. The method according to claim 3, wherein After obtaining the transformer information of the main transformer and determining the reliability of different parts of the main transformer according to the temperature distribution of the transformer information and different parts of the main transformer, it includes: Obtaining the lowest reliability of the main transformer when the temperature of the main transformer reaches a preset temperature according to the reliability calculation formula; Calculating the temperature value to be reduced when the main transformer changes from the lowest reliability to the preset safe reliability according to the reliability calculation formula; Determining the early start time range of the atomizing device according to the temperature value to be reduced when the main transformer changes from the lowest reliability to the preset safe reliability and the preset cooling rate range of the atomizing device, so as to start the atomizing device to cool the main transformer within the early start time range.

8. An atomizing cooling system, characterized in that, It includes a main transformer, an infrared temperature measurement device, an atomization device, a feed control device, a water collection tank and a control host. The infrared temperature measurement device, the atomization device and the feed control device are all connected to the control host. The atomization device includes at least two cooling nozzles; The infrared temperature measurement device is used to monitor the temperatures of n target monitoring nodes of the main transformer in real time, where n is an integer greater than 1, and different target monitoring nodes are distributed in different parts of the main transformer; The control host is used to input the temperatures of the n target monitoring nodes obtained into a temperature field model pre-constructed by the control host to obtain the temperature distribution of different parts of the main transformer; and obtain the transformer information of the main transformer, and determine the reliability of different parts of the main transformer according to the transformer information and the temperature distribution of different parts of the main transformer; and in the case where the reliability of one or more parts of the main transformer is lower than a preset expected value, determine the priority cooling part of the main transformer, and determine the target cooling nozzle of the atomization device according to the priority cooling part; and control the target nozzles of the atomization device to emit water mist to the main transformer to cool the main transformer; and send an anti-corrosion instruction to the feed control device; The feed control device is used to control the proportion of anti-corrosion materials fed into the water collection tank, so as to emit the anti-corrosion materials to the main transformer through the cooling nozzles of the atomization device to achieve anti-corrosion of the main transformer, where the anti-corrosion materials include water and anti-corrosion agents.

9. The system according to claim 8, wherein The atomization device further includes a pressure pump, and a float valve is provided in the water collection tank; The pressure pump is used to provide water pressure to achieve atomization; The float valve is used to control the water inflow of the water collection tank.

10. A machine-readable storage medium, characterized in that, Instructions are stored on the machine-readable storage medium, and the instructions are used to cause the machine to execute the intelligent anti-corrosion atomization cooling method for the main transformer according to any one of claims 1 to 7.

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