A monitoring method and device of a main transformer, an electronic device and a storage medium

Abstract

The application discloses a kind of monitoring method, device, electronic equipment and storage medium of main transformer.The method comprises: determining the first image parameter and the second image parameter of each reference point of main transformer;Respectively based on the first image parameter and the second image parameter of each reference point of main transformer, the indication vector of each reference point of main transformer is determined;Based on the indication vector of each reference point of main transformer, the twinborn model of main transformer is determined, and the twinborn model is sent to information interaction end and is shown.The technical scheme of the present application can collect the first image parameter and the second image parameter of each reference point used to construct the twinborn model of main transformer, and the indication vector of each reference point is determined according to the first image parameter and the second image parameter of each reference point, to construct the twinborn model of main transformer, which can calculate the accurate indication vector of reference point based on the image parameter of reference point, improve the accuracy of the constructed twinborn model.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of power grid safety protection, and particularly relates to a monitoring method and device for a main transformer, an electronic device and a storage medium. BACKGROUND

[0002] The main transformer is one of the key devices of a substation, and the safety of the entire power system operation is closely related to the operation of the main transformer. Therefore, how to accurately determine the operation of the main transformer is one of the important problems to be solved by the substation.

[0003] At present, a digital twin model of the main transformer is established, various known data and historical data of the main transformer are used to simulate the running state of the main transformer in the real environment, so as to realize the management and monitoring and fault prediction of the main transformer. The method adopted when the digital twin model of the main transformer is established is the Poisson reconstruction algorithm, and the task is converted into a Poisson space problem for solving by constructing a hierarchical structure of local basis functions.

[0004] Although the Poisson reconstruction technology can construct a relatively smooth object surface model, it is very dependent on accurate surface indication vectors. Once the surface indication vectors change, there will be a big difference between the reconstruction result and the real appearance. SUMMARY

[0005] The present application provides a monitoring method and device for a main transformer, an electronic device and a storage medium, which aims to obtain accurate indication vectors of reference points and improve the accuracy of the constructed twin model.

[0006] According to an aspect of the present application, a monitoring method for a main transformer is provided, which comprises:

[0007] determining first image parameters and second image parameters of each reference point of the main transformer;

[0008] determining indication vectors of each reference point of the main transformer based on the first image parameters and the second image parameters of each reference point of the main transformer, respectively;

[0009] determining a twin model of the main transformer based on the indication vectors of each reference point of the main transformer, and sending the twin model to an information interaction end for display.

[0010] Optionally, determining the first image parameter and the second image parameter of each reference point of the main transformer includes: determining the surface information of the reference point of the main transformer; determining the first image parameter and the second image parameter of the reference point of the main transformer based on the surface information of the reference point of the main transformer; wherein, the surface information of the reference point is the top surface or the side surface, and the side surface includes the first side surface, the second side surface, the third side surface, and the fourth side surface; if the surface information of the reference point is the top surface, then the reference point includes one first image parameter and four second image parameters; if the surface information of the reference point is the side surface, then the reference point includes one first image parameter and two second image parameters.

[0011] Optionally, determining the first and second image parameters of the reference point of the main transformer based on the surface information of the reference point includes: when the surface information of the reference point is the top surface, determining the first image parameter of the reference point based on the first image acquisition device, and determining four second image parameters of the reference point based on the sixth, seventh, eighth, and ninth image acquisition devices respectively; when the surface information of the reference point is the first side surface, determining the first image parameter of the reference point based on the second image acquisition device, and determining two second image parameters of the reference point based on the sixth and seventh image acquisition devices respectively; when the surface information of the reference point is the second side surface, determining the first image parameter of the reference point based on the third image acquisition device, and determining two second image parameters of the reference point based on the seventh and eighth image acquisition devices respectively; when the surface information of the reference point is the third side surface, determining the first image parameter of the reference point based on the fourth image acquisition device, and determining two second image parameters of the reference point based on the eighth and ninth image acquisition devices respectively; when the surface information of the reference point is the fourth side surface, determining the first image parameter of the reference point based on the fifth image acquisition device, and determining two second image parameters of the reference point based on the ninth and sixth image acquisition devices respectively.

[0012] Optionally, the first image acquisition device is positioned opposite the top surface of the main transformer; the second image acquisition device is positioned opposite the first side surface of the main transformer; the third image acquisition device is positioned opposite the second side surface of the main transformer; the fourth image acquisition device is positioned opposite the third side surface of the main transformer; the fifth image acquisition device is positioned opposite the fourth side surface of the main transformer; and the sixth, seventh, eighth, and ninth image acquisition devices are respectively positioned diagonally above the four apex corners of the top surface of the main transformer.

[0013] Optionally, the indication vector of each reference point of the main transformer is determined based on the first image parameter and the second image parameter of each reference point of the main transformer, including: when the surface information of the reference point is the top surface, the indication vector of the reference point is determined based on the first calculation method, the first image parameter of the reference point and four second image parameters; when the surface information of the reference point is not the top surface, the indication vector of the reference point is determined based on the second calculation method, the first image parameter of the reference point and two second image parameters.

[0014] Optionally, the twin model of the main transformer is determined based on the indicator vectors of each reference point of the main transformer, including: determining the set of surface normal vectors of the main transformer based on the indicator vectors of each reference point of the main transformer; and determining the twin model of the main transformer based on the position parameters of each reference point of the main transformer and the set of surface normal vectors of the main transformer.

[0015] Optionally, the method further includes: receiving a model modification instruction sent by an information interaction terminal; and adjusting the twin model according to the model modification instruction.

[0016] According to another aspect of the present invention, a monitoring device for a main transformer is provided, the device comprising:

[0017] The acquisition module is used to determine the first and second image parameters of each reference point of the main transformer.

[0018] The determination module is used to determine the indication vector of each reference point of the main transformer based on the first image parameter and the second image parameter of each reference point of the main transformer, respectively.

[0019] The execution module is used to determine the twin model of the main transformer based on the indication vectors of each reference point of the main transformer, and send the twin model to the information interaction terminal for display.

[0020] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0021] At least one processor; and a memory communicatively connected to the at least one processor;

[0022] The memory stores a computer program that can be executed by at least one processor, which enables the at least one processor to perform the main transformer monitoring method according to any embodiment of the present invention.

[0023] According to another aspect of the present invention, a computer-readable storage medium is provided that stores computer instructions for causing a processor to execute and implement the main transformer monitoring method according to any embodiment of the present invention.

[0024] The technical solution of this invention involves determining the first and second image parameters of each reference point of the main transformer; determining the indicator vector of each reference point based on the first and second image parameters; determining the twin model of the main transformer based on the indicator vectors of each reference point; and sending the twin model to an information interaction terminal for display. This method collects the first and second image parameters of each reference point used to construct the twin model of the main transformer, determines the indicator vector of each reference point based on these parameters, and thus constructs the twin model of the main transformer. It can calculate accurate indicator vectors for the reference points based on their image parameters, improving the accuracy of the constructed twin model. This solves the problem that Poisson reconstruction technology heavily relies on accurate surface indicator vectors when constructing twin models; once the surface indicator vectors change, the reconstructed result will differ significantly from the actual appearance.

[0025] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0026] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0027] Figure 1 This is a flowchart illustrating a monitoring method for a main transformer provided in Embodiment 1 of the present invention;

[0028] Figure 2 This is a flowchart illustrating a monitoring method for a main transformer provided in Embodiment 2 of the present invention;

[0029] Figure 3 This is a schematic diagram of the layout of an image acquisition device provided in Embodiment 2 of the present invention;

[0030] Figure 4 This is a schematic diagram of the structure of a twin model provided in Embodiment 2 of the present invention.

[0031] Figure 5 This is a schematic diagram of the structure of a monitoring device for a main transformer provided in Embodiment 3 of the present invention;

[0032] Figure 6 This is a schematic diagram of the structure of an electronic device provided in Embodiment 4 of the present invention. Detailed Implementation

[0033] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0034] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0035] Example 1

[0036] Figure 1 This is a flowchart illustrating a monitoring method for a main transformer according to Embodiment 1 of the present invention. This embodiment is applicable to scenarios such as online monitoring of the operating status of a main transformer. The method can be executed by the main transformer monitoring device provided by the present invention. This device can be implemented in hardware and / or software. In a specific embodiment, the device can be integrated into an electronic device. The following embodiments will illustrate this using the integration of the device into an electronic device as an example. (Refer to...) Figure 1 The method specifically includes the following steps:

[0037] S101. Determine the first and second image parameters of each reference point of the main transformer.

[0038] The main transformer is one of the key pieces of equipment in a substation. Its operation is closely related to the safety of the entire power system. The operation of the main transformer is generally monitored through a digital twin model of the main transformer.

[0039] In this context, reference points can be understood as data points on the main transformer used to construct a digital twin model. Reference points can be points on the surface of the main transformer that have characteristic changes. Based on the various reference points of the main transformer, the surface model of the main transformer can be constructed. The image information of the reference points can be understood as the point cloud position information of the reference points, such as the coordinate information of the reference points.

[0040] Specifically, to determine an accurate digital twin model of the main transformer, this invention employs multiple information acquisition devices. At least three devices are set up at each reference point to collect image parameters. These devices work in a complementary and secondary manner to determine precise image parameters. The first image parameter can be understood as the location information of the reference point collected by the main information acquisition device, and the second image parameter can be understood as the location information of the reference point collected by the auxiliary information acquisition device.

[0041] For example, taking reference point A as an example, the process of determining the image parameters of the reference point is explained. Assume that information acquisition device 1, information acquisition device 2 and information acquisition device 3 are used to acquire image information of reference point A, where information acquisition device 1 is the main information acquisition device and information acquisition device 2 and information acquisition device 3 are auxiliary information acquisition devices. Then, the coordinate information of reference point A acquired by information acquisition device 1 is the first image parameter of reference point A, and the coordinate information of reference point A acquired by information acquisition device 2 and information acquisition device 3 is the second image parameter of reference point A.

[0042] The advantage of this setup is that it allows for the collection of multiple sets of data from reference points, enabling the determination of the precise location of these reference points and improving the accuracy of the constructed digital twin model of the main transformer.

[0043] S102. Determine the indication vector of each reference point of the main transformer based on the first image parameter and the second image parameter of each reference point of the main transformer.

[0044] The reference point's indicator vector can be understood as the orientation information of the reference point. Specifically, the reference point's indicator vector is determined based on the image information of the reference point and its four neighboring points.

[0045] For example, the main transformer is located in a three-dimensional coordinate system, and the image parameters of each reference point can be understood as the coordinates of each reference point in the three-dimensional coordinate system. Taking reference point A as an example, the process of determining the indicator vector of the reference point is explained. One adjacent point is selected in each of the four directions above, below, left, and right of reference point A, denoted as Ai, respectively. 上 A 下 A 左 and A 右 The coordinates of reference point A are (x... A y A , z A The coordinates on A are (x, y). A上 y A上 , z A上 The coordinates under A are (x) A下 y A下 , z A下The left coordinate of A is (x A左 y A左 , z A左 The coordinates to the right of A are (x, y). A右 y A右 , z A右 The initial indicator vector of reference point A. Where, α 上 =(x A上 -x A y A上 -y A , z A上 -z A ), α 左 =(x A左 -x A y A左 -y A , z A左 -z A ), n 上左 =α 上 ×α 左 α 下 =(x A下 -x A y A下 -y A , z A下 -z A ), α 右 =(x A右 -x A y A右 -y A , z A右 -z A ), n 下右 =α 下 ×α 右 Furthermore, the first image parameter and the second image parameter are the coordinate information of the reference point acquired by different information acquisition devices. Therefore, the reference point A has multiple initial indicator vectors. Based on these multiple initial indicator vectors and their weights, the indicator vector of the reference point can be determined. The advantage of this setup is that it allows for the determination of an accurate indicator vector for the reference point.

[0046] S103. Determine the twin model of the main transformer based on the indicator vectors of each reference point of the main transformer, and send the twin model to the information interaction terminal for display.

[0047] The digital twin model can be understood as a multi-dimensional, multi-temporal, multi-disciplinary, and multi-physical virtual model of the main transformer established digitally. This model can simulate the operating state of the main transformer in a real-world environment, facilitating management, monitoring, and fault detection. The information interaction terminal can be understood as a device that can display the digital twin model of the main transformer and receive user adjustment commands, such as a computer or processor; however, this embodiment does not limit this specific device.

[0048] Specifically, the normal vector of each reference point of the main transformer can be determined based on the indicator vector of each reference point. The outer surface of the main transformer can be determined based on the normal vector of each reference point and the position information of each reference point, thus obtaining the twin model of the main transformer.

[0049] After determining the twin model of the main transformer, the twin model is sent to the information interaction terminal for display. The advantage of this setting is that it allows operators to understand the operating status of the main transformer in real time.

[0050] The technical solution of this embodiment determines the first and second image parameters of each reference point of the main transformer; determines the indicator vector of each reference point of the main transformer based on the first and second image parameters respectively; determines the twin model of the main transformer based on the indicator vector of each reference point, and sends the twin model to the information interaction terminal for display. It can collect the first and second image parameters of each reference point used to construct the twin model of the main transformer, determine the indicator vector of each reference point based on the first and second image parameters, and thus construct the twin model of the main transformer. It can calculate the accurate indicator vector of the reference point based on the image parameters of the reference point, improving the accuracy of the constructed twin model. This solves the problem that Poisson reconstruction technology relies heavily on accurate surface indicator vectors when constructing twin models; once the surface indicator vector changes, the reconstructed result will differ significantly from the actual appearance.

[0051] Example 2

[0052] Figure 2 This is a flowchart illustrating a monitoring method for a main transformer according to Embodiment 2 of the present invention. This embodiment is applicable to scenarios such as online monitoring of the operating status of a main transformer. The method can be executed by the main transformer monitoring device provided by the present invention. This device can be implemented in hardware and / or software. In a specific embodiment, the device can be integrated into an electronic device. The following embodiments will illustrate this using the integration of the device into an electronic device as an example. (Refer to...) Figure 2 The method specifically includes the following steps:

[0053] S201. Determine the surface information of the reference point of the main transformer.

[0054] The main transformer is a three-dimensional device placed in the operating room. Therefore, when constructing a digital twin model of the main transformer, it is necessary to collect information on the five surfaces of the main transformer outside the surface in contact with the ground. The reference point can be understood as a point on the surface of the main transformer that has characteristic changes.

[0055] The surface information of the reference point can be used to indicate the relative position of the reference point to the main transformer. The surface information includes the top surface and the side surfaces, and the side surfaces include the first side surface, the second side surface, the third side surface, and the fourth side surface. Specifically, determining the surface information of the main transformer's reference point can be understood as determining which of the main transformer's top surface, first side surface, second side surface, third side surface, and fourth side surface the reference point is located on.

[0056] For example, when the surface information of the reference point of the main transformer is the top surface, it is determined that the reference point of the main transformer is located on the top surface of the main transformer; when the surface information of the reference point of the main transformer is the first side surface, it is determined that the reference point of the main transformer is located on the first side surface of the main transformer.

[0057] The advantage of this setup is that it allows for a better determination of the number of first and second image parameters for the main transformer's reference point.

[0058] S202. Determine the first image parameters and the second image parameters of the reference point of the main transformer based on the surface information of the reference point of the main transformer.

[0059] The number of first and second image parameters of the reference point of the main transformer is related to the surface information of the reference point. Different surfaces correspond to different numbers of image acquisition devices, resulting in different numbers of image parameters of the reference point of the main transformer.

[0060] Specifically, Figure 3 This is a schematic diagram of the layout of an image acquisition device according to Embodiment 2 of the present invention. In the figure, C1, C2, C3, C4, C5, C6, C7, C8, and C9 all represent image acquisition units. The dashed lines indicate the placement positions of the image acquisition units. S1 represents the top surface of the main transformer, S2 represents the first side surface of the main transformer, S3 represents the second side surface of the main transformer, and the third and fourth sides of the main transformer are not shown in the figure. The third side surface is positioned opposite to the first side surface, and the fourth side surface is positioned opposite to the second side surface. Figure 3As can be seen, the first image acquisition device C1 is positioned opposite to the top surface S1 of the main transformer; the second image acquisition device C2 is positioned opposite to the first side surface S2 of the main transformer; the third image acquisition device C3 is positioned opposite to the second side surface S3 of the main transformer; the fourth image acquisition device C4 is positioned opposite to the third side surface of the main transformer; the fifth image acquisition device C5 is positioned opposite to the fourth side surface of the main transformer; and the sixth image acquisition device C6, the seventh image acquisition device C7, the eighth image acquisition device C8, and the ninth image acquisition device C9 are respectively positioned diagonally above the four apex corners of the top surface S1 of the main transformer.

[0061] Specifically, the tilt angle of the image acquisition device diagonally above the top corner of the main transformer is generally set at 30-60°. The advantage of this setting is that it can acquire image parameters of reference points on the three surfaces connected to the top corner.

[0062] Among them, the image parameters of the reference points of each surface acquired by the image acquisition device set opposite to each surface are the first image parameters, and the image parameters of the reference points of each surface acquired by the image acquisition device set diagonally above the four apex corners of the top surface of the main transformer are the second image parameters.

[0063] As can be seen from the figure, the sixth image acquisition device can acquire the second image parameters of the reference points of the top surface, the first side surface, and the fourth side surface; the seventh image acquisition device can acquire the second image parameters of the reference points of the top surface, the first side surface, and the second side surface; the eighth image acquisition device can acquire the second image parameters of the reference points of the top surface, the second side surface, and the third side surface; and the ninth image acquisition device can acquire the second image parameters of the reference points of the top surface, the third side surface, and the fourth side surface.

[0064] Specifically, the first image parameter and the second image parameter of the reference point of the main transformer are determined based on the surface information of the reference point of the main transformer. Specifically, when the surface information of the reference point is the top surface, the reference point of the main transformer is determined to include one first image parameter and four second image parameters; when the surface information of the reference point is the side surface, the reference point of the main transformer is determined to include one first image parameter and two second image parameters.

[0065] Furthermore, the first and second image parameters of the reference point of the main transformer are determined based on the surface information of the reference point, including: when the surface information of the reference point is the top surface, the first image parameter of the reference point is determined based on the first image acquisition device, and four second image parameters of the reference point are determined based on the sixth, seventh, eighth, and ninth image acquisition devices respectively; when the surface information of the reference point is the first side surface, the first image parameter of the reference point is determined based on the second image acquisition device, and two second image parameters of the reference point are determined based on the sixth and seventh image acquisition devices respectively; when the surface information of the reference point is the second side surface, the first image parameter of the reference point is determined based on the third image acquisition device, and two second image parameters of the reference point are determined based on the seventh and eighth image acquisition devices respectively; when the surface information of the reference point is the third side surface, the first image parameter of the reference point is determined based on the fourth image acquisition device, and two second image parameters of the reference point are determined based on the eighth and ninth image acquisition devices respectively; when the surface information of the reference point is the fourth side surface, the first image parameter of the reference point is determined based on the fifth image acquisition device, and two second image parameters of the reference point are determined based on the ninth and sixth image acquisition devices respectively.

[0066] S203. Determine the indication vector of each reference point of the main transformer based on the first image parameter and the second image parameter of each reference point of the main transformer.

[0067] In one embodiment, S203 may specifically include: when the surface information of the reference point is the top surface, determining the indicator vector of the reference point based on the first calculation method, the first image parameters of the reference point, and four second image parameters; when the surface information of the reference point is not the top surface, determining the indicator vector of the reference point based on the second calculation method, the first image parameters of the reference point, and two second image parameters.

[0068] Specifically, when the number of image parameters of the reference points is different, the weights of the initial indicator vectors of the reference points are different, and the calculation methods of the indicator vectors of the reference points are different. The first calculation method can be understood as the calculation method of the indicator vector of the reference point on the top surface, and the second calculation method can be understood as the calculation method of the indicator vector of the reference point on the side surface.

[0069] Specifically, before calculating the indicator vector of the reference point, the magnitude of the initial indicator vector of the reference point needs to be normalized to 1. The advantage of this setting is that it can reduce the problem of inaccurate indicator vectors of the reference point due to unequal magnitudes.

[0070] For example, for a reference point on the side of the main transformer, only the main image acquisition unit (the image acquisition unit positioned relatively high) and two auxiliary image acquisition units (image acquisition units diagonally above the apex) can acquire the image parameters of the reference point relatively completely. Among them, the image parameters acquired by the main image acquisition unit contribute significantly to the surface imaging; therefore, the indicator vector of the reference point on the side... Where, n 主 n represents the initial indicator vector of the reference point calculated based on the image parameters acquired by the main image acquisition unit. 辅1 and n 辅2 These represent the initial indicator vectors of the reference points calculated from the image parameters acquired by the auxiliary image acquisition device.

[0071] Similarly, for the reference point on the top surface of the main transformer, both the main image acquisition unit and the four auxiliary image acquisition units can acquire the image parameters of the reference point relatively completely. Furthermore, the image parameters acquired by the main image acquisition unit contribute significantly to the surface imaging; therefore, the indicator vector of the reference point on the top surface... Where, n 主 n represents the initial indicator vector of the reference point calculated based on the image parameters acquired by the main image acquisition unit. 辅1 n 辅2 n 辅3 and n 辅4 These represent the initial indicator vectors of the four reference points calculated from the image parameters acquired by the auxiliary image acquisition device.

[0072] S204. Determine the set of surface normal vectors of the main transformer based on the indicator vectors of each reference point of the main transformer.

[0073] The set of surface normal vectors of the main transformer can be understood as a set composed of the normal vectors of multiple reference points on the surface of the main transformer.

[0074] Specifically, the normal vector of each reference point can be determined based on the function value of the auxiliary function. Where n represents the indicator vector of the reference point, which corresponds to the indicator vector of the reference point when the function value of the auxiliary function is minimized. The vector is the normal vector of the reference point.

[0075] Furthermore, since the normal vectors that truly reflect the surface of the main transformer do not have uniform weights, a smoothed normal vector function can be obtained by convolving the set of normal vectors from a smoothing filter. This has the advantage of reflecting the true surface undulations of the main transformer in the constructed digital model. (Normal vector function) Where q represents the reference point on the surface established in the previous step, p represents the original center point of the normal vector, F(qp) represents the Gaussian smoothing function, and the weight of the normal vector is related to the distance between points q and p. Assuming that the reference point and q are on the same plane, the average of the distances between the reference point and its initial position parameter is the weight.

[0076] S205. Determine the twin model of the main transformer based on the position parameters of each reference point of the main transformer and the set of surface normal vectors of the main transformer.

[0077] Specifically, the outer surface of the main transformer can be determined based on the position parameters of each reference point and the set of surface normal vectors of the main transformer. For example, the surface that is perpendicular to each normal vector in the set of surface normal vectors of the main transformer and coincides with the position parameters of each reference point of the main transformer is the twin model of the main transformer. For example, Figure 4 This is a schematic diagram of the structure of a digital twin model provided in Embodiment 2 of the present invention. The digital twin model simulates the operating state of the main transformer. Therefore, the operating state of each component of the main transformer can be observed simply and quickly from the digital twin model.

[0078] S206. Send the twin model to the information interaction terminal for display.

[0079] Specifically, sending the digital twin model to the information interaction terminal for display can be understood as sending the digital twin model of the main transformer to a computer or other device that can interact with the operator for display, so that the operator can view and understand the operating status of the main transformer in real time.

[0080] Optionally, the method further includes: receiving a model modification instruction sent by an information interaction terminal; and adjusting the twin model according to the model modification instruction.

[0081] Among them, the model modification instruction can be understood as an instruction that includes the operator's adjustment requirements.

[0082] Specifically, when operators discover that the parameters of the digital twin model need adjustment or that there is a need to find, retrieve, or modify new parameters, they can send a model modification command to the server via the information interaction terminal. After receiving the model modification command from the information interaction terminal, the server will adjust the twin model accordingly. The advantage of this setup is that it facilitates the management and maintenance of the digital twin model of the main transformer by operators.

[0083] The technical solution of this embodiment involves determining the surface information of reference points of the main transformer; determining the first and second image parameters of the reference points of the main transformer based on the surface information of the reference points; determining the indicator vectors of each reference point of the main transformer based on the first and second image parameters of each reference point; determining the set of surface normal vectors of the main transformer based on the indicator vectors of each reference point; determining the twin model of the main transformer based on the position parameters of each reference point and the set of surface normal vectors of the main transformer; and sending the twin model to an information interaction terminal for display. By combining the surface information of the reference points to collect the first and second image parameters of each reference point used to construct the twin model of the main transformer, determining the indicator vectors of each reference point based on the first and second image parameters, determining the set of surface normal vectors of the main transformer based on the indicator vectors, and constructing the twin model of the main transformer based on the position parameters of each reference point and the set of surface normal vectors of the main transformer, the accuracy of the constructed twin model can be improved by calculating the accurate indicator vectors of the reference points and the set of surface normal vectors of the main transformer based on the image parameters of the reference points. This solves the problem that Poisson reconstruction technology relies heavily on accurate surface indicator vectors when building twin models, and that the reconstruction results will differ significantly from the actual appearance once the surface indicator vectors change.

[0084] Example 3

[0085] Figure 5 This is a schematic diagram of the structure of a monitoring device for a main transformer provided in Embodiment 3 of the present invention. Figure 5 As shown, the device includes: an acquisition module 501, a determination module 502, and an execution module 503.

[0086] The acquisition module 501 is used to determine the first image parameters and the second image parameters of each reference point of the main transformer.

[0087] The determination module 502 is used to determine the indication vector of each reference point of the main transformer based on the first image parameters and the second image parameters of each reference point of the main transformer.

[0088] The execution module 503 is used to determine the twin model of the main transformer based on the indication vectors of each reference point of the main transformer, and send the twin model to the information interaction terminal for display.

[0089] Optionally, the acquisition module 501 is specifically used to determine the surface information of the reference point of the main transformer; and to determine the first image parameter and the second image parameter of the reference point of the main transformer based on the surface information of the reference point of the main transformer; wherein, the surface information of the reference point is the top surface or the side surface, and the side surface includes the first side surface, the second side surface, the third side surface, and the fourth side surface; if the surface information of the reference point is the top surface, then the reference point includes one first image parameter and four second image parameters; if the surface information of the reference point is the side surface, then the reference point includes one first image parameter and two second image parameters.

[0090] Optionally, the acquisition module 501 is specifically used to: when the surface information of the reference point is the top surface, determine the first image parameters of the reference point based on the first image acquisition device, and determine four second image parameters of the reference point based on the sixth, seventh, eighth, and ninth image acquisition devices respectively; when the surface information of the reference point is the first side surface, determine the first image parameters of the reference point based on the second image acquisition device, and determine two second image parameters of the reference point based on the sixth and seventh image acquisition devices respectively; when the surface information of the reference point is the second side surface, determine the first image parameters of the reference point based on the third image acquisition device, and determine two second image parameters of the reference point based on the seventh and eighth image acquisition devices respectively; when the surface information of the reference point is the third side surface, determine the first image parameters of the reference point based on the fourth image acquisition device, and determine two second image parameters of the reference point based on the eighth and ninth image acquisition devices respectively; when the surface information of the reference point is the fourth side surface, determine the first image parameters of the reference point based on the fifth image acquisition device, and determine two second image parameters of the reference point based on the ninth and sixth image acquisition devices respectively.

[0091] Optionally, the first image acquisition device is positioned opposite the top surface of the main transformer; the second image acquisition device is positioned opposite the first side surface of the main transformer; the third image acquisition device is positioned opposite the second side surface of the main transformer; the fourth image acquisition device is positioned opposite the third side surface of the main transformer; the fifth image acquisition device is positioned opposite the fourth side surface of the main transformer; and the sixth, seventh, eighth, and ninth image acquisition devices are respectively positioned diagonally above the four apex corners of the top surface of the main transformer.

[0092] Optionally, the determining module 502 is specifically used to determine the indicator vector of the reference point based on the first calculation method, the first image parameter of the reference point, and four second image parameters when the surface information of the reference point is the top surface; and to determine the indicator vector of the reference point based on the second calculation method, the first image parameter of the reference point, and two second image parameters when the surface information of the reference point is not the top surface.

[0093] Optionally, the execution module 503 is specifically used to determine the set of surface normal vectors of the main transformer based on the indication vectors of each reference point of the main transformer; and to determine the twin model of the main transformer based on the position parameters of each reference point of the main transformer and the set of surface normal vectors of the main transformer.

[0094] Optionally, the execution module 503 is also used to receive model modification instructions sent by the information interaction terminal; and adjust the twin model according to the model modification instructions.

[0095] The main transformer monitoring device provided in this embodiment of the invention can execute the main transformer monitoring method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method execution.

[0096] Example 4

[0097] Figure 6 This is a schematic diagram of the structure of an electronic device provided in Embodiment 4 of the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0098] like Figure 6 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0099] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0100] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the monitoring method of the main transformer.

[0101] In some embodiments, the main transformer monitoring method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the main transformer monitoring method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the main transformer monitoring method by any other suitable means (e.g., by means of firmware).

[0102] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0103] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0104] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0105] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0106] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0107] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0108] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0109] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A monitoring method for a main transformer, characterized in that, include: Determine the first and second image parameters for each reference point of the main transformer; The indication vector of each reference point of the main transformer is determined based on the first image parameter and the second image parameter of each reference point of the main transformer, respectively. The twin model of the main transformer is determined based on the indicator vectors of each reference point of the main transformer, and the twin model is sent to the information interaction terminal for display. The determination of the first image parameters and second image parameters for each reference point of the main transformer includes: Determine the surface information of the reference point of the main transformer; The first image parameters and the second image parameters of the reference point of the main transformer are determined based on the surface information of the reference point of the main transformer. The surface information of the reference point is either a top surface or a side surface, and the side surface includes a first side surface, a second side surface, a third side surface, and a fourth side surface. If the surface information of the reference point is a top surface, then the reference point includes one first image parameter and four second image parameters. If the surface information of the reference point is a side surface, then the reference point includes one first image parameter and two second image parameters.

2. The method according to claim 1, characterized in that, The step of determining the first image parameters and second image parameters of the reference point of the main transformer based on the surface information of the reference point of the main transformer includes: When the surface information of the reference point is the top surface, the first image parameters of the reference point are determined based on the first image acquisition device, and the four second image parameters of the reference point are determined based on the sixth, seventh, eighth and ninth image acquisition devices, respectively. When the surface information of the reference point is the first side surface, the first image parameter of the reference point is determined based on the second image acquisition device, and the two second image parameters of the reference point are determined based on the sixth image acquisition device and the seventh image acquisition device, respectively. When the surface information of the reference point is the second side, the first image parameter of the reference point is determined based on the third image acquisition device, and the two second image parameters of the reference point are determined based on the seventh image acquisition device and the eighth image acquisition device, respectively. When the surface information of the reference point is the third side surface, the first image parameter of the reference point is determined based on the fourth image acquisition device, and the two second image parameters of the reference point are determined based on the eighth image acquisition device and the ninth image acquisition device, respectively. When the surface information of the reference point is the fourth side surface, the first image parameter of the reference point is determined based on the fifth image acquisition device, and the two second image parameters of the reference point are determined based on the ninth image acquisition device and the sixth image acquisition device, respectively.

3. The method according to claim 2, characterized in that, The first image acquisition device is positioned opposite the top surface of the main transformer; the second image acquisition device is positioned opposite the first side surface of the main transformer; the third image acquisition device is positioned opposite the second side surface of the main transformer; the fourth image acquisition device is positioned opposite the third side surface of the main transformer; and the fifth image acquisition device is positioned opposite the fourth side surface of the main transformer. The sixth, seventh, eighth, and ninth image acquisition devices are respectively located diagonally above the four apex corners of the top surface of the main transformer.

4. The method according to claim 2, characterized in that, The step of determining the indication vector of each reference point of the main transformer based on the first image parameters and the second image parameters of each reference point of the main transformer includes: When the surface information of the reference point is the top surface, the indicator vector of the reference point is determined based on the first calculation method, the first image parameter of the reference point, and four second image parameters. When the surface information of the reference point is not the top surface, the indicator vector of the reference point is determined based on the second calculation method, the first image parameter of the reference point, and two second image parameters.

5. The method according to claim 4, characterized in that, The process of determining the twin model of the main transformer based on the indicator vectors of each reference point of the main transformer includes: The set of surface normal vectors of the main transformer is determined based on the indication vectors of each reference point of the main transformer. The twin model of the main transformer is determined based on the position parameters of each reference point of the main transformer and the set of surface normal vectors of the main transformer.

6. The method according to claim 1, characterized in that, Also includes: Receive the model modification instruction sent by the information interaction terminal; The twin model is adjusted according to the model modification instructions.

7. A monitoring device for a main transformer, characterized in that, include: The acquisition module is used to determine the first and second image parameters of each reference point of the main transformer. The determination module is used to determine the indication vector of each reference point of the main transformer based on the first image parameters and the second image parameters of each reference point of the main transformer, respectively. The execution module is used to determine the twin model of the main transformer based on the indication vectors of each reference point of the main transformer, and send the twin model to the information interaction terminal for display; The acquisition module is specifically used for: determining the surface information of the reference point of the main transformer; and determining the first image parameter and the second image parameter of the reference point of the main transformer based on the surface information of the reference point of the main transformer. The surface information of the reference point is either a top surface or a side surface, and the side surface includes a first side surface, a second side surface, a third side surface, and a fourth side surface. If the surface information of the reference point is a top surface, then the reference point includes one first image parameter and four second image parameters. If the surface information of the reference point is a side surface, then the reference point includes one first image parameter and two second image parameters.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; and a memory communicatively connected to said at least one processor; The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the monitoring method for the main transformer as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the monitoring method for the main transformer as described in any one of claims 1 to 6.

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