Temperature field visualization method, device and equipment of transformer and storage medium

Abstract

The invention discloses a temperature field visualization method and device of a transformer, equipment and a storage medium. The method comprises the steps that a temperature data set of the transformer at the current moment is collected through an optical fiber temperature sensor; the temperature data set comprises external environment temperature data of the transformer, shell temperature data of the transformer and winding temperature data of the transformer; extracting the winding temperature data from the temperature data set; obtaining a preset transformer model of the transformer, and determining a hardware position coordinate corresponding to the winding temperature data in the preset transformer model; determining a color gradation value corresponding to the winding temperature data; and according to the hardware position coordinates, displaying a temperature field of the transformer at the current moment in a color corresponding to the color gradation value in the preset transformer model. According to the invention, the accuracy of transformer temperature monitoring is improved.

Description

Technical Field

[0001] The present application relates to the technical field of transformer monitoring, and in particular to a method, device, equipment and storage medium for visualizing the temperature field of a transformer. Background Art

[0002] In modern intelligent transformers, the transformers are equipped with various sensors that can monitor the transformer's voltage, current, temperature and other parameters in real time. The remote monitoring center can obtain monitoring data from the sensors to realize real-time monitoring and analysis of the transformer's operating status.

[0003] Traditional transformer temperature monitoring methods can only detect the temperature outside the transformer, or use thermocouples to measure the temperature value of a certain point inside the transformer. It cannot intuitively and accurately display the winding temperature data inside the transformer, resulting in incomplete temperature monitoring of the transformer and low accuracy of temperature monitoring. Summary of the invention

[0004] In order to solve the above problems existing in the prior art, the embodiment of the present application provides a method, device, equipment and storage medium for visualizing the temperature field of a transformer. The temperature data set of the transformer at the current moment is collected by an optical fiber temperature sensor, and the winding temperature data is extracted from the temperature data set. According to the hardware position coordinates corresponding to the winding temperature data in the preset transformer model, the temperature field of the transformer at the current moment is displayed in the preset transformer model, thereby intuitively and accurately displaying the winding temperature data in the transformer, and improving the accuracy of temperature monitoring of the transformer.

[0005] In a first aspect, an embodiment of the present application provides a method for visualizing a temperature field of a transformer, comprising:

[0006] The temperature data set of the transformer at the current moment is collected by means of an optical fiber temperature sensor; the temperature data set includes the external environment temperature data of the transformer, the shell temperature data of the transformer and the winding temperature data of the transformer;

[0007] extracting the winding temperature data from the temperature data set;

[0008] Obtaining a preset transformer model of the transformer, and determining the hardware position coordinates corresponding to the winding temperature data in the preset transformer model;

[0009] Determining a color scale value corresponding to the winding temperature data;

[0010] According to the hardware position coordinates, the temperature field of the transformer at the current moment is displayed in the preset transformer model with a color corresponding to the color scale value.

[0011] In a second aspect, an embodiment of the present application provides a temperature field visualization device for a transformer, the device comprising a data acquisition module, a data processing module and a display module;

[0012] The data acquisition module is used to collect a temperature data set of the transformer at the current moment through an optical fiber temperature sensor; the temperature data set includes external environment temperature data of the transformer, shell temperature data of the transformer and winding temperature data of the transformer;

[0013] The data processing module is used to extract the winding temperature data from the temperature data set;

[0014] Obtaining a preset transformer model of the transformer, and determining the hardware position coordinates corresponding to the winding temperature data in the preset transformer model;

[0015] Determining a color scale value corresponding to the winding temperature data;

[0016] The display module is used to display the temperature field of the transformer at the current moment in the preset transformer model with the color corresponding to the color scale value according to the hardware position coordinates.

[0017] In a third aspect, an embodiment of the present application provides an electronic device, comprising: a processor and a memory, the processor being connected to the memory, the memory being used to store a computer program, and the processor being used to execute the computer program stored in the memory, so that the electronic device performs the method described in the first aspect.

[0018] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program enables a computer to execute the method described in the first aspect.

[0019] In a fifth aspect, an embodiment of the present application provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute the method described in the first aspect.

[0020] Implementing the embodiments of the present application has the following beneficial effects:

[0021] In an embodiment of the present application, first, a temperature data set of the transformer at the current moment is collected by an optical fiber temperature sensor, including collecting the external environment temperature data of the transformer, the shell temperature data of the transformer, and the winding temperature data. Then, the winding temperature data of the transformer is extracted from the temperature data set. Next, a preset transformer model of the transformer is obtained, and the hardware position coordinates corresponding to the winding temperature data in the preset transformer model are determined. Further, the color scale value corresponding to the winding temperature data is determined. Finally, according to the hardware position coordinates, the temperature field of the transformer at the current moment is displayed in the preset transformer model with the color corresponding to the color scale value. Thus, the winding temperature data of the transformer can be extracted from the temperature data collected by the optical fiber temperature sensor, and according to the hardware position coordinates of the winding temperature data in the preset transformer model, the temperature field of the transformer at the current moment is displayed with the color of the color scale value corresponding to the winding temperature data, so as to intuitively display the winding temperature data of the transformer to the user, so that the temperature monitoring of the transformer is more comprehensive and the accuracy of the transformer temperature monitoring is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0023] Figure 1 A schematic diagram of a transformer temperature monitoring system provided in an embodiment of the present application;

[0024] Figure 2 A schematic diagram of a flow chart of a method for visualizing a temperature field of a transformer provided in an embodiment of the present application;

[0025] Figure 3 A schematic diagram of a temperature field corresponding to a chart provided in an embodiment of the present application;

[0026] Figure 4 A schematic diagram of a temperature collection point highlighted in a target display area provided in an embodiment of the present application;

[0027] Figure 5 A schematic diagram of a temperature field visualization device for a transformer provided in an embodiment of the present application;

[0028] Figure 6 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0030] The terms "first", "second", "third" and "fourth" etc. in the specification and claims of the present application and the drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0031] Reference to "embodiments" herein means that a particular feature, result, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0032] First, see Figure 1 , Figure 1 Schematic diagram of a transformer temperature monitoring system provided in an embodiment of the present application. Figure 1 As shown, the temperature monitoring system of the transformer includes: a transformer, an optical fiber temperature sensor, a processing device and a monitoring device.

[0033] Among them, the transformer is a power transmission device that uses the principle of electromagnetic induction to change the AC voltage through coil windings. The transformer of this application can be a digital transformer, which is an electrical device that integrates new technologies such as the Internet of Things, big data, cloud computing, and artificial intelligence to improve the intelligence level of the power system. Through real-time monitoring and intelligent analysis, comprehensive monitoring of the operating status, health status, and surrounding environment of the transformer can be achieved, thereby improving the operating efficiency and safety of the transformer.

[0034] In the embodiment of the present application, the optical fiber temperature sensor is a sensor that measures temperature by utilizing the optical properties of optical fiber, such as the principle that light intensity, wavelength, phase, polarization, etc. change with temperature. The optical fiber is mainly used as a temperature sensitive element and signal transmission medium to convert temperature information into a detectable optical signal, thereby realizing the perception and measurement of temperature. Temperature measurement through an optical fiber temperature sensor can realize distributed continuous real-time temperature monitoring over a long distance and a large range, and can accurately measure the temperature value of any point along the optical fiber, meeting the user's high-precision and high-reliability temperature monitoring needs.

[0035] Optionally, the optical fiber temperature sensor in the embodiment of the present application can be implanted inside the transformer, and the optical fiber temperature sensor is attached to the winding of the transformer, so that the optical fiber temperature sensor can collect the winding temperature data of the transformer.

[0036] In the embodiment of the present application, the processing device may be, for example, a server with data storage, data processing and data communication functions, including: a rack server, a cloud server, a Web server, and the like. The processing device may also be a processor chip with data storage, data processing and data communication functions, including: a central processing unit (CPU), a microcontroller unit (MCU), a single chip microcomputer (Single Chip Microcomputer), a digital signal processing (DSP) chip, a microprocessor (MPU), and the like. Among them, the processing device may communicate remotely with the optical fiber temperature sensor to obtain the temperature data of the transformer from the optical fiber temperature sensor. The processing device may analyze the temperature data of the transformer to determine the temperature field corresponding to the temperature data of the transformer. The processing device may also communicate with the monitoring device so that the temperature field of the transformer is displayed on the monitoring device. The monitoring device may be a display with data and image display functions. The monitoring device may also be an electronic device with data and image visualization processing functions, including: a mobile phone, a computer, and the like. Visualization software may be installed on the monitoring device, and the temperature field of the transformer may be displayed on the visualization software.

[0037] Optionally, the processing device and the monitoring device may be integrated into one set of equipment, or may be two sets of electronic equipment. The embodiment of the present application will be described by taking the processing device and the monitoring device integrated into one set of equipment as an example.

[0038] It should be noted that in traditional transformer temperature monitoring methods, usually only the external temperature data of the transformer can be monitored, such as the external environment temperature data and the shell temperature data, or the temperature value of a certain point in the transformer can be measured by thermocouples. However, the changes in the internal temperature of the transformer during operation cannot be monitored timely and accurately by external means, so it is impossible to fully and accurately monitor the operating status of the transformer.

[0039] Based on this, in the temperature field visualization method of the transformer of the present application, the processing device collects the temperature data set of the transformer at the current moment through the optical fiber temperature sensor; the temperature data set includes the external environment temperature data of the transformer, the shell temperature data of the transformer and the winding temperature data of the transformer;

[0040] The processing device extracts the winding temperature data from the temperature data set;

[0041] The processing device obtains a preset transformer model of the transformer, and determines the hardware position coordinates corresponding to the winding temperature data in the preset transformer model;

[0042] The processing device determines a color scale value corresponding to the winding temperature data;

[0043] The processing device displays the temperature field of the transformer at the current moment in a color corresponding to the color scale value in a preset transformer model according to the hardware position coordinates.

[0044] It can be seen that in the temperature monitoring system applied to the above transformer, the optical fiber temperature sensor can collect the temperature data set of the transformer at the current moment, and the processing device obtains the temperature data set and extracts the winding temperature data of the transformer from the temperature data set, thereby realizing the monitoring of the winding temperature data of the transformer. Then, the processing device can determine the hardware position coordinates corresponding to the winding temperature data of the transformer in the preset transformer model, and determine the color scale value corresponding to the winding temperature data, so as to display the temperature field of the transformer at the current moment in the preset transformer model with the color corresponding to the color scale value according to the hardware position coordinates, and display the temperature field on the monitoring device. In this way, the monitoring of the transformer winding temperature data can be realized, and the transformer winding temperature data can be intuitively displayed to the user through the color scale display of the temperature field, which is convenient for monitoring the transformer winding temperature data, making the temperature monitoring more comprehensive and improving the accuracy of transformer temperature monitoring.

[0045] See also Figure 2 , Figure 2 A flow chart of a method for visualizing the temperature field of a transformer provided in an embodiment of the present application. The method is applied to a processing device in the temperature monitoring system of the above-mentioned transformer. The method includes but is not limited to the following steps:

[0046] 201: Collect the temperature data set of the transformer at the current moment through the optical fiber temperature sensor.

[0047] In the embodiment of the present application, the temperature data set includes the external environment temperature data of the transformer, the shell temperature data of the transformer and the winding temperature data of the transformer, wherein each temperature data in the temperature data set corresponds to a temperature collection point on the optical front line of the optical fiber temperature sensor.

[0048] It should be noted that one section of the optical fiber temperature sensor in the embodiment of the present application is implanted inside the transformer and fits with the winding of the transformer to collect the winding temperature data of the transformer. The other end of the optical fiber temperature sensor extends to the outside of the transformer and is connected to the acquisition interface, which is the starting measurement point of the optical fiber temperature sensor. The measurement section from the acquisition interface to the transformer casing collects the external ambient temperature data of the transformer, and the measurement section from the transformer casing to the transformer winding collects the casing temperature data of the transformer. The processing device can obtain the temperature data set of the transformer collected by the optical fiber temperature sensor at the current moment.

[0049] 202: Extract winding temperature data from the temperature dataset.

[0050] In the embodiment of the present application, the optical fiber temperature sensor can measure the temperature data of any temperature collection point along the optical fiber through the optical characteristics of the optical fiber, wherein the temperature data of each temperature collection point corresponds to the distance between the temperature collection point and the collection interface of the optical fiber temperature sensor. To this end, the processing device can extract the winding temperature data from the temperature data set according to the distance corresponding to each temperature data.

[0051] Exemplarily, each temperature data in the temperature data set corresponds to a distance range. Each distance range includes at least one distance value, and each distance value is the distance between the temperature collection point on the optical fiber temperature sensor and the collection interface of the optical fiber temperature sensor. Extracting the winding temperature data from the temperature data set may include, for example, the following steps:

[0052] determining a target distance range corresponding to the winding temperature data;

[0053] Winding temperature data is extracted from the temperature dataset according to the target distance range.

[0054] It should be noted that since different measurement segments of the optical fiber of the optical fiber temperature sensor collect different data in the temperature data set, the distance range corresponding to each temperature data in the temperature data set can be determined by the distance between the temperature collection point on each measurement segment and the collection interface. Therefore, the winding temperature data can be extracted from the temperature data set according to the distance value corresponding to each temperature collection point.

[0055] Specifically, since the winding temperature data is collected through the temperature collection point on the optical fiber temperature sensor that is in contact with the transformer winding, the processing device can use the shortest distance between the temperature collection point where the optical fiber temperature sensor is in contact with the transformer winding and the collection interface of the optical fiber temperature sensor as the minimum distance value in the target distance range, and use the maximum distance between the temperature collection point of the optical fiber temperature sensor and the collection interface of the optical fiber temperature sensor as the maximum distance value in the target distance range to obtain the target distance range.

[0056] Then, the processing device uses the temperature data corresponding to the temperature collection point whose distance to the collection interface of the optical fiber temperature sensor is within the target distance range as the winding temperature data of the transformer to extract the winding temperature data of the transformer.

[0057] Therefore, the processing equipment can determine the target distance range corresponding to the winding temperature data according to the distance range corresponding to each temperature data in the temperature data set, and use the temperature data corresponding to the temperature collection point whose distance to the collection interface of the optical fiber temperature sensor is within the target distance range as the winding temperature data of the transformer, so as to extract the winding temperature data of the transformer and monitor the winding temperature data, so as to make the temperature monitoring of the transformer more comprehensive and improve the accuracy of the transformer temperature monitoring.

[0058] 203: Obtain a preset transformer model of the transformer, and determine the hardware position coordinates corresponding to the winding temperature data in the preset transformer model.

[0059] In the embodiment of the present application, the preset transformer model is a transformer model pre-constructed on the visualization platform according to the actual structure of the transformer. The processing device can determine the coordinates corresponding to each temperature collection point on the optical fiber temperature sensor according to the implantation method of the optical fiber temperature sensor in the transformer, thereby determining the hardware position coordinates corresponding to the winding temperature data in the preset transformer model.

[0060] Exemplarily, obtaining a preset transformer model of the transformer and determining the hardware position coordinates corresponding to the winding temperature data in the preset transformer model may include, for example:

[0061] A three-dimensional coordinate system is established with the designated position point of the transformer as the origin, the implantation direction of the optical fiber temperature sensor at the designated position point, the bottom direction and the side direction of the plane where the designated position point is located in the transformer as the three directions of the coordinate system, so as to display the transformer in the three-dimensional coordinate system and obtain a preset transformer model;

[0062] According to the preset implantation mode of the optical fiber temperature sensor in the transformer, the hardware position coordinates corresponding to the winding temperature data in the preset transformer model are determined.

[0063] In an embodiment of the present application, the processing device first needs to establish a three-dimensional coordinate system in the visualization platform and display the preset transformer model of the transformer in the three-dimensional coordinate system. Specifically, the processing device will select a specified position point of the transformer as the origin. For example, the specified position point can be the implantation position of the optical fiber temperature sensor in the transformer winding. A three-dimensional coordinate system is established with the implantation direction of the optical fiber temperature sensor at the specified position point, the bottom direction and the side direction of the plane where the specified position point is located in the transformer as the three directions of the coordinate system. Then, according to the actual structure of the transformer, each structure of the transformer is displayed in turn in the three-dimensional coordinate system to obtain the preset transformer model.

[0064] Then, according to the preset implantation method of the optical fiber temperature sensor in the transformer, a fiber optic temperature sensor implantation model can be constructed in a three-dimensional coordinate system, and the fiber optic temperature sensor implantation model can be displayed in the preset transformer model. Among them, the preset implantation method and the fiber optic temperature sensor implantation model are affected by the transformer structure, and are determined during the transformer production process, and the implantation method and the fiber optic temperature sensor implantation model cannot be changed by other means. According to the actual position correspondence between the fiber optic temperature sensor implantation model and the preset transformer model, the hardware position coordinates corresponding to each temperature collection point on the fiber optic temperature sensor implantation model in the preset transformer model can be determined. Thus, the processing device can determine the hardware position coordinates corresponding to the winding temperature data in the preset transformer model according to the hardware position coordinates corresponding to each temperature collection point.

[0065] It can be seen that in the embodiment of the present application, the processing device can construct a three-dimensional coordinate system according to the implantation method of the optical fiber temperature sensor and the actual structure of the transformer, and display the actual structure of the transformer in the three-dimensional coordinate system to obtain a preset transformer model, and then determine the hardware position coordinates in the preset transformer model corresponding to the winding temperature data according to the preset implantation method of the optical fiber temperature sensor in the transformer. Thus, the winding temperature data can be corresponded to the hardware position coordinates in the preset transformer model to accurately monitor the winding temperature data at each position inside the transformer, thereby improving the accuracy of transformer temperature monitoring.

[0066] 204: Determine the color scale value corresponding to the winding temperature data.

[0067] In an embodiment of the present application, the processing device can determine the color scale value corresponding to the winding temperature data based on the winding temperature data of the transformer, thereby converting the winding temperature data of the transformer into a color scale display.

[0068] For example, the color scale value corresponding to the winding temperature data can be expressed by the following formula (1):

[0069]

[0070] Among them, C represents the color level value, C min Indicates the preset color scale starting value, C max represents the preset color scale end value, T represents the winding temperature data. Specifically, T can be the winding temperature collected at any temperature collection point on the transformer winding, T min Indicates the preset minimum temperature, T max Indicates the preset maximum temperature. The preset color scale start value and the preset color scale end value can be preset by the user on the visualization platform. The preset minimum temperature and the preset maximum temperature can be preset according to the actual temperature change of the transformer.

[0071] As can be seen from formula (1), the processing device first determines the difference between each winding temperature and the preset minimum temperature to obtain the temperature difference corresponding to each winding temperature. And obtain the difference between the preset maximum temperature and the preset minimum temperature to obtain the maximum temperature difference. Then, determine the temperature difference ratio between the temperature difference corresponding to each winding temperature and the maximum temperature difference. Next, obtain the difference between the preset color scale end value and the preset color scale start value to obtain the maximum color scale difference. The product of the temperature difference ratio and the maximum color scale difference is used as the color scale difference corresponding to each winding temperature. Finally, the sum of the color scale difference corresponding to each winding temperature and the preset color scale start value is used as the color scale value corresponding to each winding temperature.

[0072] Therefore, the color scale value corresponding to each winding temperature in the winding temperature data can be determined according to the winding temperature data of the transformer, so that the winding temperature data of the transformer can be displayed through color scale, so that the user can intuitively obtain the changes in the winding temperature data of the transformer, thereby improving the efficiency of transformer temperature monitoring.

[0073] 205: According to the hardware position coordinates, the temperature field of the transformer at the current moment is displayed in the preset transformer model with the color corresponding to the color scale value.

[0074] In the embodiment of the present application, the processing device first displays the preset transformer model transparently. Then, according to the correspondence between the hardware position coordinates and the winding temperature data, the color of the color scale value corresponding to the winding temperature data is displayed on the hardware position coordinates of the preset transformer model, thereby displaying the temperature field of the transformer at the current moment.

[0075] It is understandable that the embodiment of the present application is described by taking the processing device and the monitoring device as the same set of equipment as an example, that is, the processing device has an image display function, and the temperature field of the transformer at the current moment can be displayed on the processing device. When the processing device and the monitoring device are two different sets of equipment, the temperature field of the transformer at the current moment can be displayed by the monitoring device, and the present application does not limit this.

[0076] Exemplarily, the method may further include the following steps:

[0077] According to the color scale value range corresponding to each color in the temperature field, determine the temperature range corresponding to each color;

[0078] Get the display area of ​​each color in the temperature field;

[0079] Determine the color ratio of the volume of the display area of ​​each color to the volume of the temperature field;

[0080] With each color as the horizontal axis and the color proportion corresponding to each color as the vertical axis, a chart corresponding to the temperature field is generated;

[0081] In response to a user clicking on a target color in the chart, a target display area corresponding to the target color is displayed in the temperature field at a preset brightness;

[0082] Display the temperature collection points in the target display area with preset symbols;

[0083] A floating frame is added to the temperature collection point in the target display area, and the hardware position coordinates and winding temperature data corresponding to the temperature collection point in the target display area are displayed through the floating frame.

[0084] In the embodiment of the present application, the temperature range corresponding to each color is displayed in the chart, and the target color is any color in the temperature field. It should be noted that each winding temperature in the winding temperature data corresponds to a color scale value, but multiple color scale values ​​may correspond to one color, that is, each color may correspond to a color scale value range, and when the color scale value is within the color scale value range, the color corresponding to the color scale value range may be displayed.

[0085] Therefore, in the embodiment of the present application, the processing device needs to first obtain the color scale value range corresponding to each color in the temperature field. According to the color scale value range corresponding to each color, the temperature range corresponding to each color is determined. Among them, the corresponding relationship between each color scale value in the color scale value range and each winding temperature in the temperature range is similar to the above formula (1).

[0086] Then, the processing device obtains the display area corresponding to each color in the temperature field, determines the color ratio of the volume of the display area corresponding to each color to the volume of the temperature field, and generates a chart corresponding to the temperature field with each color as the horizontal axis and the color ratio corresponding to each color as the vertical axis. The optional chart may include: a bar chart, a line chart, etc.

[0087] For example, Figure 3As shown, in the preset transformer model 301, the temperature range corresponding to color C1 is X1-Y1°C, and the temperature range corresponding to color C2 is X2-Y2°C. The volume of the display area 302 of color C1 in the temperature field accounts for A% of the volume of the temperature field, and the volume of the display area 303 of color C2 in the temperature field accounts for B%. Thus, the processing device can generate the following Figure 3 The bar graph shown in the figure is displayed below the temperature field. The legend corresponding to each color is displayed on the horizontal axis of the bar graph in turn, and the temperature range corresponding to the color is marked below the legend corresponding to each color. The vertical axis of the bar graph displays the color proportion corresponding to each color in turn. The area of ​​the column corresponding to each color is used to display the color proportion corresponding to each color.

[0088] Furthermore, in response to the user's click operation on the target color in the chart, the target display area corresponding to the target color can be displayed in the temperature field with a preset brightness, and the temperature collection points in the target display area can be displayed with a preset symbol. The preset brightness and the preset symbol can be pre-set according to the actual needs of the user. Optionally, the preset symbol can include, for example, a triangle, a five-pointed star, etc. By displaying the temperature collection points in the target display area with preset symbols in the temperature field, the temperature collection points corresponding to the target color can be displayed to the user, so that the user can understand the temperature collection points in the transformer where the winding temperature data is within the temperature range corresponding to the target color.

[0089] For example, Figure 4 As shown in FIG. 1 , the user clicks on color C2 with cursor 400, and color C2 is now the target color. In response to the click operation, the processing device displays the target display area 303 of color C2 at a preset brightness, and displays the temperature collection points in the target display area 303 with preset symbols, such as Figure 4 The temperature collection points 401 and 402 shown are displayed by triangle symbols. Then, the processing device adds a floating frame to the temperature collection points in the target display area, and displays the hardware position coordinates and winding temperature data corresponding to the temperature collection points in the target area through the floating frame. Figure 4 As shown, the floating frame of the temperature acquisition point 401 displays the hardware position coordinates (m1, n1) corresponding to the temperature acquisition point 401 and the winding temperature data p°C. The floating frame of the temperature acquisition point 402 displays the hardware position coordinates (m2, n2) corresponding to the temperature acquisition point 402 and the winding temperature data q°C.

[0090] Thus, the processing device can generate a temperature field chart with each color as the horizontal coordinate and the color ratio of each color's display area to the volume of the temperature field by determining the temperature range corresponding to each color in the temperature field and determining the color ratio of each color's display area to the volume of the temperature field, thereby intuitively displaying the transformer's winding temperature data to the user through the chart, thereby improving the user's monitoring efficiency of the transformer temperature. In addition, the processing device can display the target display area corresponding to the target color with a preset brightness and display the temperature collection point in the target display area with a preset symbol in response to the user's click operation on the target color. The hardware position coordinates and winding temperature data of each temperature collection point in the target display area are displayed through a floating box, thereby intuitively displaying the relationship between the winding temperature data and the hardware position coordinates of the transformer to the user, thereby improving the accuracy of transformer temperature monitoring.

[0091] In a possible embodiment, the method may further include the following steps:

[0092] Get the working power of the transformer at the current moment;

[0093] Based on the working power, determine the heating power of the transformer;

[0094] Based on the winding temperature data and the heating power, predict the expected winding temperature data of the transformer after a preset time period;

[0095] Copy the preset transformer model to obtain a reference transformer model, and determine the reference position coordinates in the reference transformer model corresponding to the expected winding temperature data according to the hardware position coordinates in the preset transformer model corresponding to the winding temperature data;

[0096] determining expected color scale values ​​corresponding to expected winding temperature data;

[0097] According to the reference position coordinates, the expected temperature field of the transformer after a preset time period is displayed in the reference transformer model with a color corresponding to the expected color scale value.

[0098] It should be noted that the heat generated by the transformer during operation is related to the heating power of the transformer. Therefore, the processing device can predict the heat generated by the transformer after a preset time period based on the heating power of the transformer at the current moment, thereby predicting the expected winding temperature data after the preset time period.

[0099] Specifically, the processing device first obtains the working power of the transformer at the current moment, and according to the working power of the transformer, the heating power of the transformer at the current moment can be determined. Then, based on the winding temperature data and heating power of the transformer, the expected winding temperature data of the transformer after a preset time period is predicted.

[0100] Exemplarily, based on the winding temperature data and the heating power, predicting the expected winding temperature data of the transformer after a preset time period may include, for example:

[0101] Based on the heating power, determining the amount of heat absorbed by the transformer winding within a preset time period;

[0102] Obtain material parameters of the transformer winding;

[0103] Based on the external environment temperature data, the heat dissipation coefficient and the heat dissipation area, an expression for the heat dissipation of the transformer winding within a preset time period is determined;

[0104] Based on the winding temperature data, heat absorption, heat dissipation expression, mass and specific heat capacity, the thermal balance expression of the transformer winding is established;

[0105] The expected winding temperature data of the transformer after a preset time period is determined based on the thermal balance expression.

[0106] In the embodiment of the present application, the material parameters may include: heat dissipation coefficient, heat dissipation area, mass and specific heat capacity. The material parameters are related to the structure and material of the transformer.

[0107] Specifically, the processing device may use the product of the heat generation power of the transformer at the current moment and the preset time period as the heat absorption of the transformer winding within the preset time period. Then, the material parameters of the transformer are obtained, and the heat dissipation expression of the transformer winding within the preset time period is determined based on the external environment temperature data, the winding temperature data, the heat dissipation coefficient and the heat dissipation area. The heat dissipation expression can be expressed by the following formula (2):

[0108] Q out =hA(TT a )Δt Formula (2)

[0109] Among them, Q out It indicates the heat dissipation of the transformer winding within a preset time period, h indicates the heat dissipation coefficient, A indicates the heat dissipation area, T indicates the expected winding temperature data, T a represents the external environment temperature data, and Δt represents the preset time period.

[0110] It should be noted that in the embodiment of the present application, by assuming that the external environment temperature data does not change within the preset time period, and the heating power of the transformer does not change within the preset time period, the expected winding temperature data of the transformer after the preset time period is predicted.

[0111] Thus, the processing device can determine the mapping relationship between the heat dissipation of the transformer winding within a preset time period, the external environment temperature data and the expected winding temperature data based on the heat dissipation expression shown in formula (2).

[0112] Furthermore, the processing device will establish a thermal balance expression of the transformer winding within a preset time period based on the above-determined heat absorption, heat dissipation expression, mass and specific heat capacity. The thermal balance expression within the preset time period can be expressed by the following formula (3):

[0113] Q in -Q out =mc(T-T0) Formula (3)

[0114] Among them, Q in represents the amount of heat absorbed by the transformer winding within a preset time period, m represents the mass of the transformer, c represents the specific heat capacity, and T0 represents the winding temperature data. As can be seen from formula (3), after determining the amount of heat absorbed by the transformer winding within a preset time period and the heat dissipation expression of the transformer winding within a preset time period, the processing device can establish a thermal balance expression within the preset time period. According to the thermal balance expression, the expected winding temperature data of the transformer after the preset time period can be determined.

[0115] Therefore, the processing device can predict the expected winding temperature data of the transformer after a preset time period based on the winding temperature data and heat generation power of the transformer, thereby predicting the change in transformer winding temperature, issuing an early warning for the transformer winding temperature, and improving the efficiency of transformer temperature monitoring.

[0116] Further, the processing device will copy the preset transformer to obtain a reference transformer model, and display the reference transformer model in comparison with the preset transformer model. According to the hardware position coordinates in the preset transformer model corresponding to the winding temperature data, the reference position coordinates in the reference transformer model corresponding to the expected winding temperature data are determined. Next, the processing device will determine the expected color scale value corresponding to the expected winding temperature data, wherein the method for determining the expected color scale value corresponding to the expected winding temperature data is similar to the method for determining the color scale value corresponding to the winding temperature data, and will not be repeated here.

[0117] Finally, according to the reference position coordinates, the expected temperature field of the transformer after the preset time period is displayed in the reference transformer model with the color corresponding to the expected color scale value. The display method of the expected temperature field is similar to the display method of the temperature field, which will not be repeated here.

[0118] Therefore, the processing device can predict the expected winding temperature data of the transformer after a preset time period based on the heating power and winding temperature data of the transformer at the current moment. And display the expected temperature field corresponding to the expected winding temperature data in the reference transformer model. Thus, the temperature field of the transformer at the current moment and the expected temperature field after the preset time period are compared to intuitively show the user the changing trend of the temperature field of the transformer, so that the user can monitor the temperature of the transformer more effectively, thereby improving the efficiency of transformer temperature monitoring.

[0119] In summary, in the embodiment of the present application, firstly, the temperature data set of the transformer at the current moment is collected by the optical fiber temperature sensor, including the external environment temperature data of the transformer, the shell temperature data of the transformer and the winding temperature data. Then, the winding temperature data of the transformer is extracted from the temperature data set. Next, the preset transformer model of the transformer is obtained, and the hardware position coordinates corresponding to the winding temperature data in the preset transformer model are determined. Further, the color scale value corresponding to the winding temperature data is determined. Finally, according to the hardware position coordinates, the temperature field of the transformer at the current moment is displayed in the preset transformer model with the color corresponding to the color scale value. Thus, the winding temperature data of the transformer can be extracted from the temperature data collected by the optical fiber temperature sensor, and according to the hardware position coordinates of the winding temperature data in the preset transformer model, the temperature field of the transformer at the current moment is displayed with the color of the color scale value corresponding to the winding temperature data, so as to intuitively display the winding temperature data of the transformer to the user, so that the temperature monitoring of the transformer is more comprehensive and the accuracy of the transformer temperature monitoring is improved.

[0120] See also Figure 5 , Figure 5 A schematic diagram of a temperature field visualization device for a transformer provided in an embodiment of the present application. The temperature field visualization device 500 for a transformer may include a processing device and a monitoring device of any of the above embodiments. The temperature field visualization device 500 for a transformer includes a data acquisition module 501, a data processing module 502, and a display module 503.

[0121] The data acquisition module 501 is used to collect the temperature data set of the transformer at the current moment through the optical fiber temperature sensor; the temperature data set includes the external environment temperature data of the transformer, the shell temperature data of the transformer and the winding temperature data of the transformer;

[0122] A data processing module 502 is used to extract winding temperature data from the temperature data set;

[0123] Obtain a preset transformer model of the transformer, and determine the hardware position coordinates corresponding to the winding temperature data in the preset transformer model;

[0124] Determine the color scale value corresponding to the winding temperature data;

[0125] The display module 503 is used to display the temperature field of the transformer at the current moment in a color corresponding to the color scale value in a preset transformer model according to the hardware position coordinates.

[0126] In a possible embodiment, each temperature data in the temperature data set corresponds to a distance range; each distance range includes at least one distance value, and each distance value is the distance between a temperature collection point on the optical fiber temperature sensor and a collection interface of the optical fiber temperature sensor;

[0127] In terms of extracting winding temperature data from the temperature data set, the data processing module 502 is specifically used to:

[0128] determining a target distance range corresponding to the winding temperature data;

[0129] Winding temperature data is extracted from the temperature dataset according to the target distance range.

[0130] In a possible embodiment, in terms of obtaining a preset transformer model of a transformer and determining the hardware position coordinates corresponding to the winding temperature data in the preset transformer model, the data processing module 502 is specifically used to:

[0131] A three-dimensional coordinate system is established with the designated position point of the transformer as the origin, the implantation direction of the optical fiber temperature sensor at the designated position point, the bottom direction and the side direction of the plane where the designated position point is located in the transformer as the three directions of the coordinate system, so as to display the transformer in the three-dimensional coordinate system and obtain a preset transformer model;

[0132] According to the preset implantation mode of the optical fiber temperature sensor in the transformer, the hardware position coordinates corresponding to the winding temperature data in the preset transformer model are determined.

[0133] In a possible embodiment, the color scale value is expressed by the following formula:

[0134]

[0135] Among them, C represents the color level value, C min Indicates the preset color scale starting value, C max Indicates the preset color scale end value, T indicates the winding temperature data, T min Indicates the preset minimum temperature, T max Indicates the preset maximum temperature.

[0136] In a possible embodiment, the data processing module 502 is further configured to:

[0137] According to the color scale value range corresponding to each color in the temperature field, determine the temperature range corresponding to each color;

[0138] Get the display area of ​​each color in the temperature field;

[0139] Determine the color ratio of the volume of the display area of ​​each color to the volume of the temperature field;

[0140] With each color as the horizontal axis and the color proportion corresponding to each color as the vertical axis, a chart corresponding to the temperature field is generated, wherein the chart shows the temperature range corresponding to each color;

[0141] In response to a user clicking on a target color in the chart, a target display area corresponding to the target color is displayed in the temperature field at a preset brightness, and the target color is any color in the temperature field;

[0142] Display the temperature collection points in the target display area with preset symbols;

[0143] A floating frame is added to the temperature collection point in the target display area, and the hardware position coordinates and winding temperature data corresponding to the temperature collection point in the target display area are displayed through the floating frame.

[0144] In a possible embodiment, the data processing module 502 is further configured to:

[0145] Get the working power of the transformer at the current moment;

[0146] Based on the working power, determine the heating power of the transformer;

[0147] Based on the winding temperature data and the heating power, predict the expected winding temperature data of the transformer after a preset time period;

[0148] Copy the preset transformer model to obtain a reference transformer model, and determine the reference position coordinates in the reference transformer model corresponding to the expected winding temperature data according to the hardware position coordinates in the preset transformer model corresponding to the winding temperature data;

[0149] determining expected color scale values ​​corresponding to expected winding temperature data;

[0150] The display module 503 is further used to display the expected temperature field of the transformer after a preset time period in a color corresponding to the expected color scale value in the reference transformer model according to the reference position coordinates.

[0151] In a possible embodiment, in predicting expected winding temperature data of the transformer after a preset time period based on the winding temperature data and the heating power, the data processing module 502 is specifically configured to:

[0152] Based on the heating power, determining the amount of heat absorbed by the winding of the transformer within a preset time period;

[0153] Obtaining material parameters of the winding of the transformer, wherein the material parameters include: heat dissipation coefficient, heat dissipation area, mass and specific heat capacity;

[0154] Determine, based on the external environment temperature data, the heat dissipation coefficient and the heat dissipation area, an expression for the heat dissipation amount of the winding of the transformer within a preset time period;

[0155] Establishing a thermal balance expression for the winding of the transformer based on the winding temperature data, the heat absorption, the heat dissipation expression, the mass and the specific heat capacity;

[0156] Expected winding temperature data of the transformer after a preset time period is determined according to the thermal balance expression.

[0157] See also Figure 6 , Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 6 As shown, the electronic device 600 includes a transceiver 601, a processor 602 and a memory 603. They are connected via a bus 604. The memory 603 is used to store computer programs and data, and can transmit the data stored in the memory 603 to the processor 602. The electronic device 600 can be a temperature field visualization device 500 for a transformer. The electronic device 600 can also include a processing device and a monitoring device in any of the above embodiments.

[0158] The processor 602 is used to read the computer program in the memory 603 and perform the following operations:

[0159] The temperature data set of the transformer at the current moment is collected by using an optical fiber temperature sensor; the temperature data set includes the external environment temperature data of the transformer, the shell temperature data of the transformer and the winding temperature data of the transformer;

[0160] Extract winding temperature data from the temperature data set;

[0161] Obtain a preset transformer model of the transformer, and determine the hardware position coordinates corresponding to the winding temperature data in the preset transformer model;

[0162] Determine the color scale value corresponding to the winding temperature data;

[0163] According to the hardware position coordinates, the temperature field of the transformer at the current moment is displayed in the preset transformer model with the color corresponding to the color scale value.

[0164] The above mainly introduces the scheme of the embodiment of the present application from the perspective of the execution process of the method side. It is understandable that the electronic device 600 includes a hardware structure and / or software module corresponding to each function in order to realize the above functions. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiment provided herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present application.

[0165] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. The computer program is executed by a processor to implement part or all of the steps of any transformer temperature field visualization method recorded in the above method embodiments.

[0166] An embodiment of the present application also provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute part or all of the steps of any transformer temperature field visualization method recorded in the above method embodiments.

[0167] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0168] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0169] In the several embodiments provided in the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as 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 mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the device or unit can be electrical or other forms.

[0170] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0171] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of a software program module.

[0172] If the integrated unit is implemented in the form of a software program module 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 the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or CD-ROM and other media that can store program codes.

[0173] A person skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory, and the memory can include: a flash drive, a read-only memory (English: Read-Only Memory, abbreviated as: ROM), a random access memory (English: Random Access Memory, abbreviated as: RAM), a magnetic disk or an optical disk, etc.

[0174] The embodiments of the present application are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for visualizing the temperature field of a transformer, characterized in that: include: The temperature data set of the transformer at the current moment is collected through the optical fiber temperature sensor; The temperature data set includes external environment temperature data of the transformer, shell temperature data of the transformer and winding temperature data of the transformer; extracting the winding temperature data from the temperature data set; Obtaining a preset transformer model of the transformer, and determining the hardware position coordinates corresponding to the winding temperature data in the preset transformer model; Determining a color scale value corresponding to the winding temperature data; According to the hardware position coordinates, the temperature field of the transformer at the current moment is displayed in the preset transformer model with a color corresponding to the color scale value.

2. The method according to claim 1, characterized in that Each temperature data in the temperature data set corresponds to a distance range; each distance range includes at least one distance value, and each distance value is the distance between the temperature collection point on the optical fiber temperature sensor and the collection interface of the optical fiber temperature sensor; The step of extracting the winding temperature data from the temperature data set comprises: determining a target distance range corresponding to the winding temperature data; The winding temperature data is extracted from the temperature data set according to the target distance range.

3. The method according to claim 2, characterized in that The obtaining of a preset transformer model of the transformer and determining the hardware position coordinates corresponding to the winding temperature data in the preset transformer model include: Taking the designated position point of the transformer as the origin, the implantation direction of the optical fiber temperature sensor at the designated position point, the bottom direction and the side direction of the plane where the designated position point is located in the transformer as three directions of the coordinate system, a three-dimensional coordinate system is established to display the transformer in the three-dimensional coordinate system to obtain the preset transformer model; According to a preset implantation mode of the optical fiber temperature sensor in the transformer, the hardware position coordinates corresponding to the winding temperature data in the preset transformer model are determined.

4. The method according to any one of claims 1 to 3, characterized in that: The color scale value is expressed by the following formula: Wherein, C represents the color scale value, C min Indicates the preset color scale starting value, C max represents the preset color scale end value, T represents the winding temperature data, T min Indicates the preset minimum temperature, T max Indicates the preset maximum temperature.

5. The method according to claim 1, characterized in that The method further comprises: Determine the temperature range corresponding to each color according to the color scale value range corresponding to each color in the temperature field; Obtaining a display area of ​​each color in the temperature field; Determine the color ratio of the volume of the display area of ​​each color to the volume of the temperature field; With each color as the horizontal axis and the color proportion corresponding to each color as the vertical axis, a chart corresponding to the temperature field is generated, wherein the chart displays the temperature range corresponding to each color; In response to a user clicking operation on a target color in the chart, a target display area corresponding to the target color is displayed in the temperature field at a preset brightness, the target color being any color in the temperature field; Displaying the temperature collection points in the target display area with preset symbols; A floating frame is added to the temperature collection point in the target display area, and the hardware position coordinates and winding temperature data corresponding to the temperature collection point in the target display area are displayed through the floating frame.

6. The method according to claim 1, characterized in that The method further comprises: Obtaining the working power of the transformer at the current moment; Based on the working power, determining the heating power of the transformer; Based on the winding temperature data and the heating power, predicting expected winding temperature data of the transformer after a preset time period; Copy the preset transformer model to obtain a reference transformer model, and determine the reference position coordinates in the reference transformer model corresponding to the expected winding temperature data according to the hardware position coordinates in the preset transformer model corresponding to the winding temperature data; determining an expected color scale value corresponding to the expected winding temperature data; According to the comparison position coordinates, the expected temperature field of the transformer after the preset time period is displayed in the comparison transformer model in a color corresponding to the expected color scale value.

7. The method according to claim 6, characterized in that The predicting, based on the winding temperature data and the heating power, expected winding temperature data of the transformer after a preset time period includes: Based on the heating power, determining the amount of heat absorbed by the winding of the transformer within a preset time period; Obtaining material parameters of the winding of the transformer, wherein the material parameters include: heat dissipation coefficient, heat dissipation area, mass and specific heat capacity; Determine, based on the external environment temperature data, the heat dissipation coefficient and the heat dissipation area, an expression for the heat dissipation amount of the winding of the transformer within a preset time period; Establishing a thermal balance expression for the winding of the transformer based on the winding temperature data, the heat absorption, the heat dissipation expression, the mass and the specific heat capacity; Expected winding temperature data of the transformer after a preset time period is determined according to the thermal balance expression.

8. A temperature field visualization device for a transformer, characterized in that: The device includes a data acquisition module, a data processing module and a display module; The data acquisition module is used to collect a temperature data set of the transformer at the current moment through an optical fiber temperature sensor; the temperature data set includes external environment temperature data of the transformer, shell temperature data of the transformer and winding temperature data of the transformer; The data processing module is used to extract the winding temperature data from the temperature data set; Obtaining a preset transformer model of the transformer, and determining the hardware position coordinates corresponding to the winding temperature data in the preset transformer model; Determining a color scale value corresponding to the winding temperature data; The display module is used to display the temperature field of the transformer at the current moment in the preset transformer model with the color corresponding to the color scale value according to the hardware position coordinates.

9. An electronic device, characterized in that: include: A processor and a memory, wherein the processor is connected to the memory, the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory, so that the electronic device executes the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement the method according to any one of claims 1 to 7.

Images