Substation equipment fault early warning method and system based on digital twinning

By using digital twin models to select and configure sensors, the problem of inaccurate thermal fault data caused by unscientific sensor placement was solved, enabling accurate fault early warning and efficient response for substation equipment.

CN121502492BActive Publication Date: 2026-04-10POWERCHINA JIANGXI ELECTRIC POWER ENGINEERING CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-01-14
Publication Date
2026-04-10

AI Technical Summary

Technical Problem

In existing technologies, the lack of scientific planning for sensors in substations leads to a lack of real-time and accuracy in the acquisition of thermal fault data, affecting the accuracy and timeliness of fault early warning, and making them susceptible to the influence of heat sources from surrounding power equipment, resulting in missed or false identification.

Method used

By using a digital twin model to obtain the fault propagation path and direction, stable regions are selected, a set of stable regions is constructed, and data is classified according to location information. Data subsets are arranged in order, target stable regions are identified, and sensors are set up to accurately obtain fault data along the target propagation path.

Benefits of technology

It improves the accuracy and timeliness of fault early warning, reduces the impact of surrounding heat sources on fault data, and achieves accurate fault identification and timely early warning.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application provides a power substation equipment fault early warning method and system based on digital twinning, and relates to the technical field of power substation equipment fault early warning. The method comprises the following steps: obtaining the propagation path and propagation direction of the preset fault of the power substation equipment according to the digital twinning model; obtaining the path features according to the propagation path, wherein the path features comprise stable zones and unstable zones, and at least one stable zone is obtained by screening the path features; constructing a stable zone set according to the stable zones; classifying the data of the stable zone set according to the position information to obtain a plurality of data subsets, and sequentially arranging the data subsets according to the propagation direction; identifying each data subset and screening in combination with the propagation direction and the fault sensitivity level to obtain a target stable zone; sequentially connecting a plurality of target stable zones to construct a target propagation path; and setting sensors according to the fault sensitive zones to accurately obtain fault data along the target propagation path, thereby realizing fault early warning. The application improves the fault early warning accuracy and timeliness.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of substation equipment fault early warning, and in particular relates to a substation equipment fault early warning method and system based on digital twinning. BACKGROUND

[0002] The digital twinning technology can realize dynamic simulation and state analysis of the whole life cycle of a physical object by constructing real-time mapping of a physical entity and a virtual model, thereby providing a new path for solving the pain points of substation equipment fault early warning.

[0003] With the increasing expansion of substations, how to ensure the reliable and stable operation of the substations becomes a key problem. However, due to the influence of various factors, thermal faults may occur in high-voltage electrical equipment during operation, which not only affects the normal operation of the equipment, but also may cause safety accidents. Therefore, it is necessary to early warn the thermal faults of high-voltage electrical equipment. In high-voltage electrical equipment in substations, thermal faults are usually caused by long-term operation, aging, good contact, and other reasons.

[0004] In order to monitor the thermal faults of power equipment in a substation, the digital twinning technology generally arranges multiple sensors in the power equipment to obtain state data, based on the online monitoring technology of the sensors, and then synchronizes them to the digital twinning model. A substation includes several power equipment, and each power equipment may become a heat source due to heating or thermal faults. In the prior art, the sensors arranged in the substation are generally randomly set by relying on human experience. Although it can meet the acquisition of thermal fault data in a macro sense to early warn the equipment, the sensor arrangement does not combine the actual scene of each substation for scientific consideration and planning to respond to thermal faults in a timely and accurate manner, so that the acquired thermal fault response data is generally easily affected by the surrounding power equipment, causing missed identification or misidentification. Therefore, how to accurately arrange sensors to accurately monitor each power equipment so that it can be accurately identified when it produces a thermal fault to improve the early warning accuracy and timeliness, while minimizing the thermal influence of the surrounding power equipment as a heat source to reduce misidentification, has become a technical problem that needs to be solved urgently. SUMMARY

[0005] Based on this, the purpose of the present application is to provide a substation equipment fault early warning method based on digital twinning, which solves the technical problem that the thermal fault data acquired due to the lack of scientific planning of sensor arrangement to avoid the influence of surrounding heat sources in the prior art lacks real-time and accuracy, thereby affecting the fault early warning accuracy and timeliness.

[0006] In one aspect, the present application provides a substation equipment fault early warning method based on digital twinning, comprising:

[0007] According to the digital twin model, preset fault propagation data of the power transformation station equipment are acquired, the propagation data including a propagation path and a propagation direction, a path feature is acquired according to the propagation path, the path feature including a stable area and a non-stable area, the non-stable area including a heat dissipation area, and at least one stable area is obtained by screening the path feature;

[0008] A stable area set is constructed according to the stable area, the stable area set is data classified according to position information to obtain a plurality of data subsets, and the data subsets are sequentially arranged according to the propagation direction.

[0009] Each data subset is identified and screened in combination with the propagation direction and a fault sensitive level to obtain a target stable area, the target stable area corresponding to a fault sensitive area, a target propagation path is constructed by sequentially connecting a plurality of target stable areas, a sensor is arranged according to the fault sensitive area to accurately acquire fault data along the target propagation path, and fault early warning is realized.

[0010] The above-mentioned power transformation station equipment fault early warning method based on digital twin first acquires preset fault propagation path and propagation direction when the current power equipment occurs thermal fault, screens the propagation path according to the path feature to obtain a stable area, the stable area is a non-heat dissipation area, and belongs to an area affected by avoiding thermal radiation of surrounding heat sources; secondly, a stable area set is constructed and data subsets are obtained by combing according to position information, and the data subsets are sequentially arranged according to the propagation direction to screen a stable area in the same data subset as a target stable area; thirdly, each target stable area is connected and a sensor is arranged to track the propagation path to accurately acquire fault data, and the fault early warning accuracy and timeliness are improved.

[0011] In addition, the above-mentioned power transformation station equipment fault early warning method based on digital twin according to the present application can have the following additional technical features:

[0012] Further, the step of identifying each data subset and screening in combination with the propagation direction and the fault sensitive level to obtain a target stable area includes:

[0013] A fault point is acquired and a related stable area is acquired in combination with the propagation direction and a signal strength attenuation degree, the related stable area including a main stable area and a secondary stable area, the main stable area corresponding to a main line propagation direction of the propagation direction, and the secondary stable area corresponding to an edge radiation direction of the propagation direction, the signal strength and propagation speed of the main line propagation direction being greater than the signal strength and propagation speed of the edge radiation direction.

[0014] A first contact area responding to fault propagation is acquired according to the main stable area to position it as a target bud area, and the main stable area containing the target bud area is a target stable area.

[0015] Further, in the step of acquiring the first contact area responding to the fault propagation according to the main stable area to locate it as the target germination area, the acquisition method of the target germination area comprises:

[0016] acquiring the first contact area responding to the fault propagation and regionally dividing it to obtain a plurality of fault germination areas;

[0017] acquiring the affected degree of each fault germination area according to the target unstable area of the regional environment to determine the impact level, screening each impact level to obtain the lowest impact level, and the fault germination area corresponding to the lowest impact level is the target germination area; and setting a sensor according to the target germination area to avoid the influence of external factors on the acquisition of fault data, thereby accurately acquiring the fault propagation data.

[0018] Further, in the step of acquiring the affected degree of each fault germination area according to the target unstable area of the regional environment to determine the impact level, screening each impact level to obtain the lowest impact level, and the fault germination area corresponding to the lowest impact level is the target germination area, the step comprises:

[0019] acquiring the unstable area closest to the first contact area to be the target unstable area;

[0020] respectively identifying the proximity degree of each fault germination area to the target unstable area, acquiring the unstable radiation degree according to the proximity degree to obtain the target germination area according to the lowest value of the unstable radiation degree, wherein the unstable radiation degree corresponds to the impact level of the fault germination area, and the unstable radiation degree is arranged in descending order to obtain the lowest value of the unstable radiation degree, and the fault germination area corresponding to the lowest value of the unstable radiation degree is the target germination area.

[0021] Further, in the step of respectively identifying the proximity degree of each fault germination area to the target unstable area, acquiring the unstable radiation degree according to the proximity degree to obtain the target germination area according to the lowest value of the unstable radiation degree, the acquisition method of the proximity degree comprises:

[0022] acquiring the region boundary of the fault germination area to acquire the boundary relationship between the region boundary and the target unstable area to acquire the heat generated by the target unstable area to each fault germination area according to the boundary relationship, the heat includes heat conduction heat and radiation heat transfer, and the boundary relationship includes plane direct contact and space indirect contact, wherein if the boundary relationship is plane direct contact, the heat is heat conduction heat; and if the boundary relationship is space indirect contact, the heat is radiation heat transfer;

[0023] acquiring the minimum value of the heat according to the heat conduction heat or the radiation heat transfer, the minimum value of the heat corresponds to the lowest value of the unstable radiation degree, and then acquiring the fault germination area corresponding to the minimum value of the heat to be the target germination area;

[0024] When the heat conduction heat and the radiation heat exchange amount are the same or the heat difference is less than a threshold value, the segmentation gradient when the first contact area is gradient segmented is reduced to increase the segmentation density, and the first contact area is re-segmented until the heat difference is not less than the threshold value, the minimum heat is obtained according to the heat conduction heat and the radiation heat exchange amount, and then the target germination area is obtained.

[0025] Further, the calculation formula of the heat conduction heat is:

[0026] ;

[0027] In the formula: Q is the heat conduction heat from the heat dissipation point to the target point, λ is the thermal conductivity of the contact medium; A is the contact area;△ T is the temperature difference between the heat dissipation point and the target point; δ is the thickness of the contact medium;

[0028] The technical formula of the radiation heat exchange amount is:

[0029] ;

[0030] In the formula: Q’ is the radiation heat exchange amount from the heat dissipation point to the target point;ε1,ε2 are the emissivities of the heat dissipation point and the target point respectively;F 12 is the radiation angle coefficient of the heat dissipation point to the target point;A1 is the radiation surface area of the heat dissipation point;T1 is the thermodynamic temperature of the heat dissipation point;T2 is the thermodynamic temperature of the target point; σ is the Stefan-Boltzmann constant.

[0031] Further, in the step of obtaining the first contact area responding to the fault propagation and regionally dividing the first contact area to obtain a plurality of fault germination areas, the regional division method comprises:

[0032] The first contact area is gradient segmented along the main line propagation direction to divide the first contact area into a plurality of fault germination areas, wherein when the gradient segmentation, the regional segmentation density gradually decreases from the end close to the fault source to the end away from the fault source.

[0033] Another aspect of the present application provides a substation equipment fault early warning system based on digital twinning, the system comprises:

[0034] The acquisition module is used for acquiring the preset fault propagation data of the substation equipment according to the digital twinning model, the propagation data includes the propagation path and the propagation direction, the path features are acquired according to the propagation path, the path features include the stable area and the unstable area, the unstable area includes the heat dissipation area, and at least one stable area is obtained by screening the path features;

[0035] a categorizing module configured to construct a stable region set according to the stable regions, data categorize the stable region set according to the position information to obtain a plurality of data subsets, and arrange the data subsets in sequence according to the propagation direction;

[0036] a warning module configured to identify each data subset, screen the data subset in combination with the propagation direction and the fault sensitivity level to obtain a target stable region, the target stable region corresponding to a fault sensitive region, construct a target propagation path by sequentially connecting a plurality of target stable regions, and set a sensor according to the fault sensitive region to accurately acquire fault data along the target propagation path, thereby realizing fault warning.

[0037] In another aspect, the present application provides a computer readable storage medium having a computer program stored thereon, the program being executed by a processor to implement the digital-twin-based substation equipment fault warning method as described above.

[0038] In another aspect, the present application also provides a data processing device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the digital-twin-based substation equipment fault warning method as described above. BRIEF DESCRIPTION OF DRAWINGS

[0039] Figure 1 a flowchart of the digital-twin-based substation equipment fault warning method in the first embodiment of the present application;

[0040] Figure 2 a flowchart of the detailed steps of step S103 in the first embodiment of the present application;

[0041] Figure 3 a flowchart of the method for obtaining the target germination region in the first embodiment of the present application;

[0042] Figure 4 a flowchart of the detailed steps of step S22 in the first embodiment of the present application;

[0043] Figure 5 a system block diagram of the digital-twin-based substation equipment fault warning system in the second embodiment of the present application;

[0044] The following specific embodiments will further illustrate the present application in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0045] For the purpose of facilitating the understanding of the present application, a more complete description of the present application will be given below with reference to the relevant drawings. The drawings show several embodiments of the present application. However, the present application can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present application more thorough and comprehensive.

[0046] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs. The terminology used in the specification of the present application herein is only for the purpose of describing specific embodiments and is not intended to limit the present application. The term "and / or" used herein includes any and all combinations of one or more of the associated listed items.

[0047] In order to solve the technical problem that the heat fault data obtained lacks real-time and accuracy due to the lack of scientific planning of the sensor arrangement to avoid the influence of the surrounding heat source in the prior art, thereby affecting the fault warning accuracy and timeliness, the present application provides a substation equipment fault warning method based on digital twinning. First, the preset fault propagation path and propagation direction when the current power equipment occurs heat fault are obtained, the propagation path is screened according to the path characteristics to obtain a stable zone, the stable zone is a non-radiation zone and belongs to the area affected by avoiding the thermal radiation of the surrounding heat source. Secondly, a stable zone set is constructed and combed according to the position information to obtain a plurality of data subsets, and the data subsets are sequentially arranged according to the propagation direction so as to screen a stable zone in the same data subset as a target stable zone. Thirdly, each target stable zone is connected and a sensor is arranged to track the propagation path to accurately obtain fault data, thereby improving the fault warning accuracy and timeliness.

[0048] For the purpose of facilitating the understanding of the present application, several embodiments of the present application will be given below. However, the present application can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present application more thorough and comprehensive.

[0049] Embodiment one

[0050] Please refer to Figure 1 , which shows a substation equipment fault warning method based on digital twinning in the first embodiment of the present application, including steps S101 to S104:

[0051] S101, obtaining preset fault propagation data of the substation equipment according to the digital twinning model, the propagation data including a propagation path and a propagation direction, obtaining path characteristics according to the propagation path, the path characteristics including a stable zone and a non-stable zone, the non-stable zone including a radiation zone, and screening the path characteristics to obtain at least one stable zone.

[0052] In this embodiment, propagation data of a thermal fault in the current power equipment is first simulated using a model to serve as preset fault propagation data. The propagation area is then filtered based on the path characteristics of the propagation path within this preset fault propagation data to obtain a stable region. This stable region is a non-heat dissipation area, which avoids the influence of heat radiation from surrounding heat sources. This initial filtering of the propagation region reduces the sensor placement area and eliminates interference from unstable regions.

[0053] S102. Construct a stable region set based on the stable region, classify the data in the stable region set according to the location information to obtain multiple data subsets, and arrange the data subsets in order according to the propagation direction.

[0054] Secondly, after a screening is completed, in order to reduce the frequency of system operations and improve efficiency, in this embodiment, the stable regions obtained from the first screening are classified and arranged according to the direction of propagation to construct different data subsets. It should be further noted that adjacent data subsets are directly associated to avoid data gaps.

[0055] S103. Identify each data subset and filter it based on the propagation direction and fault sensitivity level to obtain the target stable region, which corresponds to the fault sensitive region.

[0056] As a concrete example, to a certain extent, the closer an area is to the fault point, the higher its fault sensitivity level. Therefore, in each data subset, the area closest to the fault point is generally selected as the target stable area based on the propagation direction, and thus the fault sensitive area is considered.

[0057] like Figure 2 As shown, in this embodiment, step S103 specifically includes steps S1031-S1032:

[0058] S1031. Obtain the fault point and, in conjunction with the propagation direction and the degree of signal strength attenuation, obtain the relevant stable region. The relevant stable region includes the main stable region and the secondary stable region. The main stable region corresponds to the main propagation direction of the propagation direction, and the secondary stable region corresponds to the edge radiation direction of the propagation direction. The signal strength and propagation speed of the main propagation direction are greater than the signal strength and propagation speed of the edge radiation direction.

[0059] At present, the stable region obtained by screening is relatively wide to some extent. In order to further improve the arrangement accuracy of the sensor, it is necessary to further reduce the positioning area of the stable region to improve the early warning accuracy when the thermal fault occurs. Specifically, the obtained relevant stable region is further divided, and the main stable region is along the main line propagation direction, and the secondary stable region is radially outward from the main line propagation direction. The secondary stable region belongs to the edge region in the propagation direction. In combination with the actual situation, it is generally assumed that the propagation speed and radiation intensity are lower than those of the main stable region, and the main stable region is the main channel for the transmission of thermal faults. Therefore, the main stable region needs to be paid special attention to.

[0060] S1032, obtaining a first contact area responding to fault propagation according to the main stable region to locate it as a target bud area, and the main stable region containing the target bud area is a target stable region.

[0061] After obtaining the main stable region by twice screening of the stable region, the target bud area is obtained by three times screening of the main stable region according to the first contact area responding to fault propagation. The so-called bud area can be understood as the area where the thermal fault transmission occurs first. The accurate positioning and early warning of this area can kill the thermal fault in the bud stage.

[0062] Specifically, as shown in Figure 3 The method for obtaining the target bud area includes steps S21-S23:

[0063] S21, obtaining a first contact area responding to fault propagation and dividing the area to obtain a plurality of fault bud areas.

[0064] Regarding the identification of the target bud area, considering the attenuation of the propagation intensity in the actual propagation process, in order to improve the thermal fault identification efficiency and respond to the early warning quickly, the response speed of the area with strong propagation intensity needs to be higher. Therefore, this part is densely divided, and at the end of the propagation, it is sparsely divided. That is, in this embodiment, the first contact area is gradient segmented to obtain a more reasonable target bud area. Specifically, the area division method includes: taking the main line propagation direction as the center and gradient segmenting the first contact area along the main line propagation direction to divide the first contact area into a plurality of fault bud areas. During gradient segmentation, the area segmentation density gradually decreases from the end close to the fault source to the end away from the fault source. As a specific example, regarding the segmentation gradient, taking the segmentation of three sections along the main line propagation direction as an example, it can be understood that the length of the cutting line segment along the main line propagation direction accounts for 1:3:5 of the total length, thereby realizing gradient segmentation.

[0065] S22, obtaining the affected degree of each failure germination zone by the target unstable zone according to the regional environment to determine the influence level, screening each influence level to obtain the lowest influence level, and the failure germination zone corresponding to the lowest influence level is the target germination zone.

[0066] In the embodiment, as shown in Figure 4 S22 specifically includes steps S221-S223:

[0067] S221, obtaining the unstable zone closest to the first contact region as the target unstable zone.

[0068] S222, respectively identifying the proximity degree of each failure germination zone to the target unstable zone, obtaining the unstable radiation degree according to the proximity degree to obtain the target germination zone according to the lowest value of the unstable radiation degree, wherein the unstable radiation degree corresponds to the influence level of the failure germination zone.

[0069] Specifically, the method for obtaining the proximity degree includes: obtaining the regional boundary of the failure germination zone to obtain the boundary relationship between the regional boundary and the target unstable zone to obtain the heat generated by the target unstable zone to each failure germination zone according to the boundary relationship, the heat includes heat conduction heat and radiation heat transfer amount, the boundary relationship includes plane direct contact and space indirect contact, wherein if the boundary relationship is plane direct contact, the heat is heat conduction heat; if the boundary relationship is space indirect contact, the heat is radiation heat transfer amount; obtaining the minimum value of the heat according to the heat conduction heat or the radiation heat transfer amount, the minimum value of the heat corresponds to the lowest value of the unstable radiation degree, and then obtaining the failure germination zone corresponding to the minimum value of the heat to determine it as the target germination zone.

[0070] The calculation formula of the heat conduction heat is:

[0071] ;

[0072] In the formula: Q is the heat conduction heat from the heat dissipation point to the target point, λ is the thermal conductivity of the contact medium; A is the contact area; T is the temperature difference between the heat dissipation point and the target point; δ is the thickness of the contact medium;

[0073] The technical formula of the radiation heat transfer amount is:

[0074] ;

[0075] In the formula: Q’ is the radiation heat transfer amount from the heat dissipation point to the target point; ε1, ε2 are respectively the emissivity of the heat dissipation point and the target point; F 12The radiation angle coefficient of the heat dissipation point to the target point can be obtained by referring to a table;A1 is the radiation surface area of the heat dissipation point;T1 is the thermodynamic temperature of the heat dissipation point;T2 is the thermodynamic temperature of the target point; σ is the Stefan-Boltzmann constant.

[0076] When the heat conduction heat and the radiation heat exchange amount are the same or the heat difference is less than a threshold value, in order to improve the positioning accuracy of the target germination area, the segmentation gradient when the first contact area is segmented is reduced to increase the segmentation density, and the first contact area is re-segmented, until the heat difference is not less than the threshold value, the minimum heat value is obtained according to the heat conduction heat and the radiation heat exchange amount, and then the target germination area is obtained.

[0077] S223, arrange the non-stable radiation degree in descending order to obtain the lowest non-stable radiation degree, and the fault germination area corresponding to the lowest non-stable radiation degree is the target germination area.

[0078] S23, set a sensor according to the target germination area to avoid external factors affecting the acquisition of fault data, and then accurately acquire fault propagation data.

[0079] S104, sequentially connect a plurality of target stable areas to obtain a target propagation path, set a sensor according to the fault sensitive area to accurately acquire fault data along the target propagation path, and realize fault early warning.

[0080] In summary, the substation equipment fault early warning method based on digital twinning in the above embodiments of the present application first acquires the preset fault propagation path and propagation direction when the current power equipment occurs thermal fault, filters the propagation path according to the path characteristics to obtain a stable area, which is a non-heat dissipation area and belongs to the area affected by avoiding the thermal radiation of the surrounding heat source. Secondly, a stable area set is constructed and combed according to the position information to obtain a plurality of data subsets, and the data subsets are sequentially arranged according to the propagation direction so as to filter out a stable area as a target stable area in the same data subset. Thirdly, each target stable area is connected and a sensor is set to track the propagation path to accurately acquire fault data, thereby improving the fault early warning accuracy and timeliness.

[0081] Embodiment two

[0082] Please refer to Figure 5 , which is a substation equipment fault early warning system based on digital twinning in the second embodiment of the present application, comprising:

[0083] The acquisition module is used for acquiring the preset fault propagation data of the substation equipment according to the digital twinning model, the propagation data including a propagation path and a propagation direction, acquiring path characteristics according to the propagation path, the path characteristics including a stable area and a non-stable area, the non-stable area including a heat dissipation area, and filtering the path characteristics to obtain at least one stable area.

[0084] a categorizing module configured to construct a stable region set according to the stable regions, data categorize the stable region set according to the position information to obtain a plurality of data subsets, and arrange the data subsets in sequence according to the propagation direction;

[0085] a warning module configured to identify each data subset, screen the data subsets in combination with the propagation direction and the fault sensitivity level to obtain a target stable region, which corresponds to a fault sensitive region, sequentially connect a plurality of target stable regions to construct a target propagation path, and set a sensor according to the fault sensitive region to accurately acquire fault data along the target propagation path, thereby realizing fault warning.

[0086] To sum up, the substation equipment fault warning system based on digital twinning in the above embodiments of the present application first acquires a preset fault propagation path and propagation direction when a current power equipment occurs thermal fault, screens the propagation path according to path characteristics to obtain a stable region, which is a non-heat dissipation region and belongs to an area affected by avoiding thermal radiation of surrounding heat sources; secondly, a stable region set is constructed and a plurality of data subsets are obtained by combing according to position information, and the data subsets are arranged in sequence according to the propagation direction so as to screen a stable region as a target stable region in the same data subset; thirdly, each target stable region is connected and a sensor is set to track the propagation path to accurately acquire fault data, thereby improving fault warning accuracy and timeliness.

[0087] In addition, an embodiment of the present application further provides a computer readable storage medium, which has a computer program stored thereon, and the program is executed by a processor to realize the steps of the method in the above embodiment.

[0088] In addition, an embodiment of the present application further provides a data processing device, which comprises a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor realizes the steps of the method in the above embodiment when executing the program.

[0089] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a list of executable instructions for implementing logic functions and can be specifically embodied in any computer readable medium for use by or in connection with an instruction execution system, apparatus or device, such as a computer-based system, a processor-based system, or other system that can fetch the instructions from the instruction execution system, apparatus or device and execute the instructions, or in conjunction with these instruction execution systems, apparatus or devices. For the purpose of this specification, the "computer readable medium" can be any device that can contain, store, communicate, propagate or transport the program for use by or in connection with the instruction execution system, apparatus or device, or in conjunction with these instruction execution systems, apparatus or devices.

[0090] More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection (electronic) having one or more wires, a portable computer diskette (magnetic), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can also be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, for example, via an optical scanner, then compiled, interpreted, or otherwise processed, using suitable methods, before being stored in a computer memory.

[0091] It should be understood that aspects of the application can be implemented in hardware, software, firmware or combinations thereof. In the embodiments described above, various steps or methods can be implemented, for example, in software or firmware that is stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, and in another embodiment, any of the following techniques, which are well known in the art, can be used to implement the application: a hybrid of the techniques mentioned above; a combination of one or more of the techniques mentioned above; or one or more other techniques suitable for use in the computer-based systems described above.

[0092] In the description of the specification, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" and the like is intended to mean that a specific feature, structure, material or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In the specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any suitable manner in one or more embodiments or examples.

[0093] Although embodiments of the application have been shown and described, it would be recognized by those of ordinary skill in the art that various changes, modifications, substitutions, and alterations can be made hereto without departing from the spirit and scope of the application. The scope of the application is limited only by the claims and the equivalents thereof.

Claims

1. A digital-twin-based substation equipment fault early warning method, characterized in that, The application relates to a method for obtaining fault propagation data of a substation device, and belongs to the technical field of substation device fault propagation data acquisition. According to the digital twin model, preset fault propagation data of a substation device is obtained, the propagation data including a propagation path and a propagation direction, a path feature is obtained according to the propagation path, the path feature including a stable region and a non-stable region, the non-stable region including a heat dissipation region, and at least one stable region is obtained by screening the path feature; A stable region set is constructed according to the stable region, the stable region set is data-classified according to position information to obtain a plurality of data subsets, and the data subsets are sequentially arranged according to the propagation direction; Each data subset is identified and screened in combination with the propagation direction and a fault sensitivity level to obtain a target stable region, the target stable region corresponding to a fault sensitive region, a target propagation path is constructed by sequentially connecting a plurality of target stable regions, sensors are arranged according to the fault sensitive region to accurately obtain fault data along the target propagation path, and fault early warning is realized; The step of identifying each data subset and screening in combination with the propagation direction and the fault sensitivity level to obtain the target stable region includes: A fault point is obtained, and a related stable region is obtained in combination with the propagation direction and a signal strength attenuation degree, the related stable region including a main stable region and a secondary stable region, the main stable region corresponding to a main line propagation direction of the propagation direction, and the secondary stable region corresponding to an edge radiation direction of the propagation direction, the signal strength and the propagation speed of the main line propagation direction being greater than those of the edge radiation direction; A first contact area responding to fault propagation is obtained according to the main stable region, and the first contact area is positioned as a target bud region, and the main stable region containing the target bud region is a target stable region; In the step of obtaining the first contact area responding to fault propagation according to the main stable region to position the first contact area as the target bud region, the target bud region is obtained by: The first contact area responding to fault propagation is obtained, and the first contact area is regionally divided to obtain a plurality of fault bud regions; a target non-stable region is obtained according to a region environment, the influence degree of each fault bud region is determined according to the target non-stable region, each influence degree is screened to obtain a lowest influence degree, the fault bud region corresponding to the lowest influence degree is the target bud region, sensors are arranged according to the target bud region to avoid the influence of external factors on fault data acquisition, and then fault propagation data is accurately obtained.

2. The digital-twin-based substation equipment fault early warning method according to claim 1, characterized in that, The step of obtaining the target non-stable region according to a region environment, determining the influence degree of each fault bud region according to the target non-stable region, screening each influence degree to obtain a lowest influence degree, and taking the fault bud region corresponding to the lowest influence degree as the target bud region includes: The non-stable region closest to the first contact area is taken as the target non-stable region; The proximity degree of each fault bud region to the target non-stable region is identified, the non-stable radiation degree is obtained according to the proximity degree, and the target bud region is obtained according to the lowest value of the non-stable radiation degree, wherein the non-stable radiation degree corresponds to the influence degree of the fault bud region, the non-stable radiation degree is arranged in descending order to obtain the lowest value of the non-stable radiation degree, and the fault bud region corresponding to the lowest value of the non-stable radiation degree is the target bud region.

3. The digital-twin-based substation equipment fault early warning method according to claim 2, characterized in that, In the step of identifying the proximity of each fault germination area to the target unstable area respectively, and obtaining the unstable radiation degree according to the proximity, the method for obtaining the proximity comprises: obtaining the area boundary of the fault germination area, obtaining the boundary relationship between the area boundary and the target unstable area, and obtaining the heat generated by the target unstable area to each fault germination area according to the boundary relationship, wherein the heat includes heat conduction heat and radiation heat transfer, and the boundary relationship includes plane direct contact and space indirect contact, if the boundary relationship is plane direct contact, the heat is heat conduction heat, and if the boundary relationship is space indirect contact, the heat is radiation heat transfer; obtaining the minimum heat value according to the heat conduction heat or the radiation heat transfer, the minimum heat value corresponding to the minimum unstable radiation degree, and then obtaining the fault germination area corresponding to the minimum heat value to determine it as the target germination area; wherein, when the heat conduction heat and the radiation heat transfer are the same or the heat difference is less than a threshold value, the segmentation gradient when the first contact area is segmented by gradient segmentation is reduced to increase the segmentation density and the first contact area is re-segmented, and when the heat difference is not less than the threshold value, the minimum heat value is obtained according to the heat conduction heat and the radiation heat transfer, and then the target germination area is obtained.

4. The digital-twin-based substation equipment fault early warning method according to claim 3, characterized in that, The calculation formula of the heat conduction heat is: ; wherein: Q Q is the heat transfer from the heat sink to the target point, λ k is the thermal conductivity of the contact medium; A A is the contact area;△ T △T is the temperature difference between the heat sink and the target point; δ d is the thickness of the contact medium; The calculation formula of the radiation heat transfer is: ; wherein: Q’ is the radiative heat transfer from the heat sink to the target; ε1, ε2are the emissivities of the heat sink and the target, respectively; F 12 is the view factor from the heat sink to the target; A1is the radiative surface area of the heat sink; T1is the thermodynamic temperature of the heat sink; T2is the thermodynamic temperature of the target; σ is the Stefan-Boltzmann constant.

5. The digital-twin-based substation equipment failure pre-warning method of claim 1, wherein, In the step of obtaining the first contact area responding to the fault propagation and performing area division on the first contact area to obtain a plurality of fault germination areas, the area division method comprises: gradient segmentation of the first contact area along the main line propagation direction to divide the first contact area into a plurality of fault germination areas, wherein the area segmentation density gradually decreases from the end close to the fault source to the end away from the fault source during gradient segmentation.

6. A digital-twin-based substation equipment fault early warning system, characterized in that, The system comprises: an acquisition module configured to acquire preset fault propagation data of the substation equipment according to a digital twin model, the propagation data including a propagation path and a propagation direction, acquire path features according to the propagation path, the path features including stable areas and unstable areas, the unstable areas including heat dissipation areas, and screen the path features to obtain at least one stable area; a classification module configured to construct a stable area set according to the stable areas, perform data classification on the stable area set according to position information to obtain a plurality of data subsets, and arrange the data subsets in sequence according to the propagation direction; an early warning module configured to identify each data subset, screen the data subset in combination with the propagation direction and a fault sensitive level to obtain a target stable area, the target stable area corresponding to a fault sensitive area, sequentially connect a plurality of target stable areas to construct a target propagation path, set a sensor according to the fault sensitive area to accurately acquire fault data along the target propagation path, and realize fault early warning; wherein, the step of identifying each data subset and screening the data subset in combination with the propagation direction and the fault sensitive level to obtain the target stable area comprises: The fault point is acquired, and a relevant stable area is acquired in combination with a propagation direction and a signal strength attenuation degree, the relevant stable area including a main stable area and a secondary stable area, the main stable area corresponding to a main line propagation direction of the propagation direction, and the secondary stable area corresponding to an edge radiation direction of the propagation direction, the signal strength and the propagation speed of the main line propagation direction being greater than those of the edge radiation direction; A first contact area responding to the fault propagation is acquired according to the main stable area to locate the first contact area as a target budding area, and a main stable area containing the target budding area is a target stable area; In the step of acquiring the first contact area responding to the fault propagation according to the main stable area to locate the first contact area as the target budding area, the method for acquiring the target budding area includes: The first contact area responding to the fault propagation is acquired, and the first contact area is regionally divided to obtain a plurality of fault budding areas; a target unstable area is acquired according to a regional environment, an affected degree of each fault budding area is determined to determine an influence level, each influence level is screened to obtain a lowest influence level, the fault budding area corresponding to the lowest influence level is the target budding area, a sensor is set according to the target budding area to avoid an external factor from affecting fault data acquisition, and then fault propagation data is accurately acquired.

7. A computer-readable storage medium having stored thereon a computer program, characterized in that The program is executed by the processor to implement the substation equipment fault early warning method based on digital twinning according to any one of claims 1-5.

8. A data processing device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the program to implement the substation equipment fault early warning method based on digital twinning according to any one of claims 1-5.

Citation Information

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