Three-dimensional modeling method and system of transformer substation and electronic equipment

Abstract

The invention provides a three-dimensional modeling method and system of a transformer substation and electronic equipment, and relates to the technical field of artificial intelligence power grid image recognition, and the method comprises the steps: obtaining point cloud data of the transformer substation and an actual image of equipment in the transformer substation; identifying an equipment identifier in the transformer substation according to the point cloud data of the transformer substation in combination with an actual image of equipment in the transformer substation, and establishing an initial three-dimensional model of the transformer substation; retrieving the equipment in the transformer substation in a knowledge graph information base according to the equipment identifier in the transformer substation to obtain historical associated data of the equipment; determining risk early warning information of the equipment according to the historical associated data of the equipment; and optimizing the substation initial three-dimensional model according to the risk early warning information to obtain a substation target three-dimensional model. According to the method, the transformer substation model is optimized according to the obtained equipment risk early warning information, the transformer substation three-dimensional model capable of reflecting the equipment risk early warning information is established, a user can visually know the risk early warning of the equipment in the transformer substation three-dimensional model, and refined modeling is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of artificial intelligence power grid image recognition, and in particular to a three-dimensional modeling method, system and electronic equipment for a substation. Background Art

[0002] With the development of power systems and the advancement of smart grids, the digitization and intelligence of substations have become a trend. Using laser point cloud data to perform 3D modeling of substations can not only achieve visual management of substations, but also provide important technical support for equipment detection and maintenance. Existing substation modeling methods include VRML (Virtual Reality Modeling Language) method, manual substation modeling method based on 3D laser point cloud, and 3D substation modeling method based on the combination of surveying and mapping and 2D images.

[0003] When performing three-dimensional modeling of a substation in the prior art, the appearance of the physical equipment image can only be superimposed on the initial gray model by mapping the equipment appearance, which cannot reflect the actual status of the equipment in the substation and is difficult to meet the needs of actual applications. Summary of the invention

[0004] In order to overcome the above-mentioned deficiencies of the prior art, the present invention provides a three-dimensional modeling method of a substation, comprising:

[0005] Obtain cloud data of substations and actual images of equipment in substations;

[0006] Based on the substation cloud data and the actual images of the equipment in the substation, the equipment identification in the substation is identified and the initial 3D model of the substation is established;

[0007] According to the equipment identification in the substation, the equipment in the substation is searched in the knowledge graph information database to obtain the historical related data of the equipment;

[0008] Determine risk warning information of the equipment based on the historical correlation data of the equipment;

[0009] The initial 3D model of the substation is optimized according to the risk warning information of the equipment to obtain the target 3D model of the substation.

[0010] Preferably, determining risk warning information of a device based on historical correlation data of the device includes:

[0011] Filter the historical related data of the equipment to obtain the historical fault information of the equipment;

[0012] Determine the change value of the mechanical degree of freedom of the equipment according to the equipment drawings and the equipment operation status in the historical associated data;

[0013] Determine the risk components of the equipment based on historical fault information and the change value of mechanical degrees of freedom;

[0014] Conduct susceptibility failure analysis on risk components based on historical correlation data of the equipment to obtain risk warning information of the equipment;

[0015] The historical associated data of the equipment in the substation includes one or more of the following: equipment operating years, equipment historical fault information, equipment maintenance records, equipment aging test reports, and equipment maintenance site reports.

[0016] Preferably, optimizing the initial three-dimensional model of the substation according to the risk warning information of the equipment includes:

[0017] Modeling optimization and risk warning of risk components of equipment based on risk warning information of equipment;

[0018] Optimize the initial 3D model of the substation based on the results of modeling optimization and risk prompts.

[0019] Preferably, modeling optimization and risk warning are performed on risk components of the equipment according to the risk warning information of the equipment, including:

[0020] Obtain the failure aging characterization of the risk components of the equipment based on the risk warning information of the equipment;

[0021] According to the failure and aging characteristics of risk components, model optimization and risk warning are carried out for the risk components of the equipment.

[0022] Preferably, after determining the risk warning information of the equipment, the method further includes:

[0023] Obtain historical fault information of devices in the same batch as the device based on the historical associated data of the device;

[0024] Determine risk warning information for equipment in the same batch based on historical failure information of equipment in the same batch.

[0025] Preferably, optimizing the initial three-dimensional model of the substation according to the risk warning information of the equipment includes:

[0026] Optimize the initial three-dimensional model of the substation based on the risk warning information of the equipment and the risk warning information of equipment in the same batch as the equipment.

[0027] Preferably, the construction of the knowledge graph information base includes:

[0028] Constructing the knowledge graph information base according to the association between the equipment identification and the equipment environment information, the equipment operation and inspection information and the equipment operation information in the substation;

[0029] The device environment information includes one or more of operating environment information, natural environment information, road condition information, and extreme weather information;

[0030] Equipment operation and inspection information includes one or more of equipment test reports, equipment operation and inspection records, equipment operation and inspection cycles, and equipment failure information of the same type;

[0031] The equipment operation information includes one or more of equipment parameter information, equipment operation status, equipment physical location information, equipment historical fault information, and equipment fault repair plan.

[0032] Preferably, obtaining the substation cloud data includes: collecting the substation cloud data by three-dimensional laser scanning;

[0033] Based on the substation cloud data and the actual images of the equipment in the substation, the initial 3D model of the substation is established, including:

[0034] Obtain a 3D contour model of the substation based on the substation site cloud data;

[0035] The three-dimensional contour model of the substation is mapped according to the actual image of the equipment in the substation, the surface texture of the three-dimensional contour model of the substation is optimized, and the initial three-dimensional model of the substation is obtained.

[0036] Based on the same inventive concept, the present invention also provides a three-dimensional modeling system for a substation, comprising:

[0037] Data image acquisition module, used to obtain substation cloud data and actual images of equipment in the substation;

[0038] The initial 3D model building module is used to identify the equipment identification in the substation and build the initial 3D model of the substation based on the substation site cloud data combined with the actual image of the equipment in the substation;

[0039] The historical associated data acquisition module is used to search the equipment in the substation in the knowledge graph information database according to the equipment identification in the substation to obtain the historical associated data of the equipment;

[0040] A risk warning information acquisition module is used to determine the risk warning information of the device based on the historical correlation data of the device;

[0041] The target three-dimensional model acquisition module is used to optimize the initial three-dimensional model of the substation according to the risk warning information of the equipment and obtain the target three-dimensional model of the substation.

[0042] Preferably, the risk warning information acquisition module is specifically used to:

[0043] Filter the historical related data of the equipment to obtain the historical fault information of the equipment;

[0044] Determine the change value of the mechanical degree of freedom of the equipment according to the equipment drawings and the equipment operation status in the historical associated data;

[0045] Determine the risk components of the equipment based on historical fault information and the change value of mechanical degrees of freedom;

[0046] Conduct susceptibility failure analysis on risk components based on historical correlation data of the equipment to obtain risk warning information of the equipment;

[0047] The historical associated data of the equipment in the substation includes one or more of the following: equipment operating years, equipment historical fault information, equipment maintenance records, equipment aging test reports, and equipment maintenance site reports.

[0048] Preferably, the target three-dimensional model acquisition module includes:

[0049] The risk warning submodule is used to optimize the modeling and provide risk warnings for the risk components of the equipment according to the risk warning information of the equipment;

[0050] The 3D model optimization submodule is used to optimize the initial 3D model of the substation according to the results of modeling optimization and risk prompting.

[0051] Preferably, the risk warning submodule is specifically used for:

[0052] Obtain the failure aging characterization of the risk components of the equipment based on the risk warning information of the equipment;

[0053] According to the failure and aging characteristics of risk components, model optimization and risk warning are carried out for the risk components of the equipment.

[0054] Preferably, the system further comprises a module for obtaining risk warning information of equipment in the same batch;

[0055] The module for obtaining risk warning information of equipment in the same batch is used for:

[0056] Obtain historical fault information of devices in the same batch as the device based on the historical associated data of the device;

[0057] Determine risk warning information for equipment in the same batch based on historical failure information of equipment in the same batch.

[0058] Preferably, the target three-dimensional model acquisition module is also used for:

[0059] Optimize the initial three-dimensional model of the substation based on the risk warning information of the equipment and the risk warning information of equipment in the same batch as the equipment.

[0060] Preferably, the construction of the knowledge graph information base in the historical association data acquisition module includes:

[0061] Constructing the knowledge graph information base according to the association between the equipment identification and the equipment environment information, the equipment operation and inspection information and the equipment operation information in the substation;

[0062] The device environment information includes one or more of operating environment information, natural environment information, road condition information, and extreme weather information;

[0063] Equipment operation and inspection information includes one or more of equipment test reports, equipment operation and inspection records, equipment operation and inspection cycles, and equipment failure information of the same type;

[0064] The equipment operation information includes one or more of equipment parameter information, equipment operation status, equipment physical location information, equipment historical fault information, and equipment fault repair plan.

[0065] Preferably, the data image acquisition module is used to collect substation cloud data by three-dimensional laser scanning;

[0066] The initial 3D model building module is specifically used for:

[0067] Obtain a 3D contour model of the substation based on the substation site cloud data;

[0068] The three-dimensional contour model of the substation is mapped according to the actual image of the equipment in the substation, the surface texture of the three-dimensional contour model of the substation is optimized, and the initial three-dimensional model of the substation is obtained.

[0069] Based on the same inventive concept, the present invention also provides an electronic device, comprising: at least one processor and a memory; the memory and the processor are connected via a bus;

[0070] The memory is used to store one or more programs;

[0071] When the one or more programs are executed by the at least one processor, the three-dimensional modeling method of the substation as mentioned above is implemented.

[0072] Based on the same inventive concept, the present invention also provides a readable storage medium on which an execution program is stored. When the execution program is executed, the three-dimensional modeling method of the substation as described above is implemented.

[0073] Compared with the closest prior art, the present invention has the following beneficial effects:

[0074] The present invention provides a three-dimensional modeling method for a substation, comprising: acquiring substation site cloud data and actual images of equipment in the substation; identifying equipment identifiers in the substation based on the substation site cloud data combined with actual images of equipment in the substation, and establishing an initial three-dimensional model of the substation; searching for equipment in the substation in a knowledge graph information library based on the equipment identifiers in the substation, and obtaining historical associated data of the equipment; determining risk warning information of the equipment based on the historical associated data of the equipment; optimizing the initial three-dimensional model of the substation based on the risk warning information, and obtaining a target three-dimensional model of the substation. The present invention automatically establishes an initial three-dimensional model of the substation based on the substation site cloud data combined with the actual image of the equipment, which can ensure the accuracy of the equipment position and the relative position between the equipment during modeling, and because it is automatic modeling, it saves time and cost compared to manual modeling; at the same time, according to the equipment identification in the substation, a search is performed in a pre-constructed knowledge graph information library to obtain the historical associated data of the equipment, further determine the risk warning information of the equipment, optimize the substation model according to the risk warning information of the equipment, and establish a substation target three-dimensional model including the equipment risk warning information. The substation target three-dimensional model reflects the real aging phenomenon of the equipment and the equipment risk warning, which is convenient for users to intuitively understand the real status of the equipment in the substation three-dimensional model and realize refined modeling. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] Figure 1 A schematic flow chart of a three-dimensional modeling method for a substation is provided for the present invention;

[0076] Figure 2 A specific flow chart of a three-dimensional modeling method for a substation provided by the present invention;

[0077] Figure 3 A structural diagram of a three-dimensional modeling system for a substation provided by the present invention;

[0078] Figure 4 A schematic diagram of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0079] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0080] Embodiment 1:

[0081] The present invention provides a three-dimensional modeling method for a substation, specifically, Figure 1 The schematic diagram of the process of three-dimensional modeling of a substation provided by an embodiment of the present invention includes the following steps as shown in the figure:

[0082] S1: Obtain substation cloud data and actual images of equipment in the substation;

[0083] S2: Based on the substation cloud data and the actual images of the equipment in the substation, identify the equipment identification in the substation and establish the initial 3D model of the substation;

[0084] S3: According to the equipment identification in the substation, the equipment in the substation is searched in the knowledge graph information database to obtain the historical related data of the equipment;

[0085] S4: Determine risk warning information of the device based on historical correlation data of the device;

[0086] S5: Optimize the initial three-dimensional model of the substation according to the risk warning information of the equipment to obtain the target three-dimensional model of the substation.

[0087] The present invention optimizes the substation model according to the obtained equipment risk warning information, establishes a substation target three-dimensional model that can reflect the equipment risk warning information, and reflects the actual aging phenomenon of the equipment and the equipment risk warning through the substation target three-dimensional model, so that users can intuitively understand the actual status of the equipment in the substation three-dimensional model and realize refined modeling.

[0088] The main equipment in the substation includes primary equipment and secondary equipment, wherein the primary equipment includes transformers, circuit breakers, disconnectors, current transformers, voltage transformers, lightning arresters, busbars, capacitors, reactors, wave arresters, etc., and the secondary equipment includes relay protection devices, integrated automation, low-voltage power consumption in the station and DC systems, etc. Since there are many large equipment in the substation, and the life cycle of many equipments is as long as 20 to 30 years, in the early stage of the establishment of each substation, the equipment in the substation is not all brand new, and it may also be equipment obtained from other temporarily unused substations. Some equipment has been used for a period of time and has a certain degree of wear or aging. The three-dimensional modeling method of the substation provided by the present invention, in the early stage of the establishment of the substation, the equipment in the substation is modeled to a certain degree of refinement, and when the three-dimensional model of the substation is established, the risk warning information of the equipment in the substation is obtained, and a three-dimensional model of the substation that can reflect the risk warning information of the equipment is established, so that users can intuitively understand the risk warning of the equipment in the three-dimensional model of the substation and realize refined modeling.

[0089] In S1, the substation cloud data can be collected by three-dimensional laser scanning method.

[0090] 3D laser scanning technology is an advanced, fully automatic, high-precision stereoscopic scanning technology, also known as "real-scene replication technology". It is another surveying and mapping technology innovation after GPS (Global Positioning System) spatial positioning technology. 3D laser scanning technology is a measurement technology that uses a high-speed laser transmitter to apply the principle of laser ranging (including pulsed micro-light and phase micro-light) to instantly measure the three-dimensional coordinate value of space. It will bring the acquisition method of surveying and mapping data, service capabilities and levels, and data processing methods into a new stage of development. 3D laser scanning is a surface-based data collection method. Each measurement data contains not only the information of X, Y, and Z points, but also R, G, and B color information, as well as object reflectivity information. Through comprehensive information, it gives people a scene of the object being truly reproduced in the computer.

[0091] In the present invention, the substation cloud data is collected by three-dimensional laser scanning technology. In order to realize rapid modeling based on large-scale point cloud data, after collecting the substation cloud data, pre-processing processes such as point cloud segmentation and clustering are required.

[0092] Specifically, in some implementations, the point cloud segmentation process includes: segmenting the collected point cloud data into ground point cloud data and non-ground point cloud data, detecting the non-ground point cloud data in the point cloud data, extracting power lines from the non-ground point cloud data, and isolating the same result monomer or device unit point from the entire substation cloud data to facilitate subsequent repeated structure detection, shape retrieval, and template fitting. The point cloud clustering process includes: spatially clustering the collected point cloud data to facilitate subsequent point cloud data block operations.

[0093] In addition to obtaining the substation cloud data in the above S1, it is also necessary to obtain the actual image of the equipment in the substation. The actual image of the equipment in the substation is the actual captured image, and the image data of the equipment is determined based on the actual captured image. Correspondingly, in the above S2, the equipment identification in the substation can be identified based on the substation cloud data combined with the actual image of the equipment in the substation, and the initial three-dimensional model of the substation can be established.

[0094] In some optional implementations, 3ds MAX (Three Dimension Studio MAX, three-dimensional image design) software is used to create a basic outline of the substation three-dimensional model based on the collected substation cloud data, and then the structural unit or equipment monomer is finely modeled with reference to the image data of the equipment and the relevant design standards of the equipment.

[0095] An initial three-dimensional model of the substation is established based on the substation site cloud data combined with the actual image of the equipment in the substation, including: obtaining a three-dimensional contour model of the substation based on the substation site cloud data, mapping the three-dimensional contour model of the substation based on the actual image of the equipment in the substation, optimizing the surface texture of the three-dimensional contour model of the substation, and obtaining the initial three-dimensional model of the substation.

[0096] That is, after obtaining the substation 3D contour model through the substation site cloud data, it is necessary to map the substation 3D contour model so that the subsequently obtained substation 3D model is more realistic in appearance. Then, the equipment identification in the substation is obtained based on the actual image of the equipment in the substation, and the established model is organized using the corresponding management system in combination with the equipment identification in the substation to build a usable substation equipment model library. In some optional implementations, the substation equipment model library can be updated in real time.

[0097] Before proceeding to step S3, it is necessary to build a knowledge graph information base for the equipment in the substation.

[0098] Specifically, the process of constructing the knowledge graph information base includes: constructing the knowledge graph information base of the equipment in the substation according to the association between the equipment identification and the equipment environment information, equipment inspection information and equipment operation information in the substation. That is, according to the basic information of the equipment, the association between the equipment name, model information, operation status information, test report, power knowledge keywords, etc. is obtained to construct the knowledge graph information base of the equipment in the substation.

[0099] The device environment information includes one or more of operating environment information, natural environment information, road condition information, and extreme weather information;

[0100] Equipment operation and inspection information includes one or more of equipment test reports, equipment operation and inspection records, equipment operation and inspection cycles, and equipment failure information of the same type;

[0101] The equipment operation information includes one or more of equipment parameter information, equipment operation status, equipment physical location information, equipment historical fault information, and equipment fault repair plan.

[0102] In the above S3, according to the equipment identification in the substation, the equipment in the substation is searched in the pre-built knowledge graph information database to obtain the historical related data of the equipment.

[0103] The present invention uses knowledge graph technology to associate the equipment in the substation with the knowledge graph. Specifically, according to the equipment identification of the equipment in the substation, the equipment name, model, batch, manufacturer, size, etc. are determined; then a search is performed in the constructed knowledge graph information base, and the association between equipment-equipment ledger-equipment operation and inspection record-equipment operation data is constructed through the association construction in the knowledge graph. After the model and batch of the equipment in the substation are identified, a search is performed in the knowledge graph information base based on the basic information of the model and batch of the equipment, and the historical associated data of the equipment is retrieved. Among them, the historical associated data of the equipment in the substation includes one or more of the operating years, historical fault information, maintenance records, aging test reports, and maintenance site reports.

[0104] After obtaining the historical correlation data of the device, the risk warning information of the device is determined according to the historical correlation data of the device in the above S4. Specifically, based on the historical correlation data of the device, the risk components of the device are determined, and the devices that have reached the aging level are marked.

[0105] Specifically, determining the risk warning information of the equipment based on the historical associated data of the equipment includes: screening the historical associated data of the equipment to obtain the historical fault information of the equipment; then determining the change value of the mechanical degree of freedom of the equipment based on the equipment primary drawing and the equipment operation status in the historical associated data; then determining the risk components of the equipment based on the historical fault information and the change value of the mechanical degree of freedom, and performing a susceptible fault analysis on the risk components based on the historical fault information of the equipment to obtain the risk warning information of the equipment. Among them, the historical associated data of the equipment in the substation includes: one or more of the equipment operating years, equipment historical fault information, equipment maintenance records, equipment aging test reports, and equipment maintenance site reports.

[0106] The historical associated data of the equipment is screened to obtain the historical fault information of the equipment, that is, the historical associated data of the equipment is screened to obtain the fault information that has occurred to the equipment during the previous substation operation.

[0107] The primary drawing of the equipment is the primary drawing provided by the manufacturer when the equipment leaves the factory and contains various data of the equipment.

[0108] The mechanical degrees of freedom of the equipment are used to determine the mechanical strength and reliability of the equipment. When the mechanical degrees of freedom of the equipment change, it means that the equipment or the components in the equipment have operational risks. The mechanical degrees of freedom of the equipment can be analyzed for all equipment in the substation or for equipment that is prone to failure and is used frequently, such as switches, transformers and other key equipment.

[0109] According to the historical associated data of the equipment, the fault information that has occurred in the equipment is obtained, and the change value of the mechanical degree of freedom of the equipment is determined based on the equipment's primary drawings and historical operating status provided by the manufacturer. Combined with the fault information and mechanical degree of freedom change value that have occurred in the equipment, the components that may fail in the equipment are determined, and then the susceptible failure causes of the components that may fail are analyzed based on the equipment's previous failure information, the cause of the possible failure of the equipment is obtained, and risk warnings are issued.

[0110] In the above S5, the initial three-dimensional model of the substation is optimized according to the risk warning information of the equipment to obtain the target three-dimensional model of the substation, including: modeling optimization and risk prompting of equipment risk components according to the risk warning information of the equipment; optimizing the initial three-dimensional model of the substation according to the results of modeling optimization and risk prompting to obtain the target three-dimensional model of the substation.

[0111] Among them, modeling optimization and risk warning are performed on the risk components of the equipment according to the risk warning information of the equipment, including: obtaining the failure and aging characterization of the risk components of the equipment according to the risk warning information of the equipment; and optimizing the component modeling and providing risk warning at the model level for the risk components of the equipment according to the failure and aging characterization of the risk components.

[0112] The fault aging characterization of risk components includes fault characterization and aging characterization. Specifically, the aging characterization of risk components can be realistically processed during modeling optimization, and risk warnings can also be given to risk components at the model level.

[0113] So far, the three-dimensional modeling method of the substation provided by the present invention is introduced in detail. First, the substation site cloud data is collected through three-dimensional laser scanning technology, and the actual image of the equipment in the substation is obtained by shooting; secondly, the substation three-dimensional contour model is established according to the substation site cloud data, and then combined with the actual image of the equipment in the substation, the equipment identification in the substation is identified, and the three-dimensional contour model of the substation is mapped to establish the initial three-dimensional model of the substation. Then, according to the equipment identification, the historical associated data of the equipment is retrieved in the pre-built knowledge graph information library, and the risk warning information of the equipment is further determined. The risk warning information of the equipment is added to the initial three-dimensional model of the substation to obtain the substation target three-dimensional model containing the risk warning information. The real status of the substation equipment can be intuitively reflected in the three-dimensional model of the substation.

[0114] By combining the substation site cloud data with the actual image of the equipment, the initial three-dimensional model of the substation is automatically established, which can ensure the accuracy of the equipment location and the relative position between devices during modeling, and because it is automatic modeling, it saves time and cost compared to manual modeling; and according to the historical correlation data of the equipment combined with the mechanical characteristics of the equipment, from the aspects of structural mechanics and mechanical operation status, the actual status of the equipment is assisted in analyzing, and the risk warning information of the equipment is obtained. The initial three-dimensional model of the substation is further optimized according to the risk warning information of the equipment. The target three-dimensional model obtained contains the risk warning information of the equipment in the substation, which can restore the actual aging condition of the equipment and the risk components of the equipment, so that users can intuitively understand the real status of the equipment and components in the three-dimensional model of the substation and realize refined modeling.

[0115] Through observation, it is found that the layout of substation equipment in adjacent areas has a high degree of repetition. When the risk warning information of a certain device is determined, other identical devices in the same batch as the device may also have the same historical fault information or risk warning information. Therefore, in order to improve the efficiency of substation modeling, the repetitive pattern and the minimum repetitive structural unit of the substation model can be extracted to obtain the risk warning information of other identical devices in the same batch as the device.

[0116] In some optional implementations, in the above S4, after determining the risk warning information of the device, the following is further included:

[0117] Obtain historical fault information of equipment from the same batch as the equipment based on historical associated data of the equipment; determine risk warning information of equipment from the same batch as the equipment based on historical fault information of equipment from the same batch as the equipment.

[0118] After the risk warning information of the equipment in the same batch as the equipment is determined, in the above S5, the initial three-dimensional model of the substation is optimized according to the risk warning information of the equipment, including:

[0119] The initial three-dimensional model of the substation is optimized according to the risk warning information of the equipment and the risk warning information of equipment in the same batch as the equipment.

[0120] Specifically, after obtaining the historical fault information of a certain device, the historical fault information of the devices in the same batch as the device is obtained according to the historical associated data of the device, and then the mechanical degree of freedom change value of the devices in the same batch is determined according to the equipment's primary drawing and the equipment's operating status in the historical associated data. Then, according to the historical fault information and mechanical degree of freedom change value of the devices in the same batch, the risk components of the devices in the same batch of the device are determined, and the common risk components are analyzed to determine the risk warning information of other devices in the same batch as the device. Finally, the initial three-dimensional model of the substation is optimized according to the risk warning information of the device and the risk warning information of other devices in the same batch as the device, and the target three-dimensional model of the substation is obtained.

[0121] According to the three-dimensional modeling method of the substation provided by the present invention, risk warning information of the equipment in the substation and its risk components is obtained, which is convenient for users to intuitively understand the real aging phenomenon and risk warning of the equipment and components in the three-dimensional model of the substation, so as to timely remind the operation and maintenance personnel to replace the equipment during subsequent operation and maintenance, thereby realizing refined modeling.

[0122] At present, the existing substation modeling methods are roughly divided into three categories. The first category is VRML modeling, geometric modeling and ground lidar modeling. Taking VRML modeling as an example, the visual effect and realism of the substation model established are not strong enough, and it is difficult to intuitively reflect the actual situation of the substation; the modeling process is time-consuming and inefficient, and it is difficult to meet the needs of efficient modeling; at the same time, it requires operators to have high professional skills, which has high professional requirements for operators and increases labor costs.

[0123] The second type is a manual substation modeling method based on 3D laser point cloud, which requires the creation of primary and secondary equipment based on point cloud data, and finally combines the models to obtain the substation model. This manual modeling method has a large amount of data and high processing difficulty; it requires manual creation of primary and secondary equipment, with many steps and complicated operations; the manual modeling process is time-consuming, the modeling cycle is long, and it is difficult to quickly complete the model construction.

[0124] The third category is a 3D modeling method for substations based on the combination of surveying and mapping with 2D images. This modeling method uses an algorithm to segment and extract objects from the 2D image of the substation, then searches for the corresponding 3D shape from the shape library, and then determines the position and posture of the 3D model based on the surveying and mapping data. Although this modeling method has a relatively high modeling efficiency, the surveying and mapping data is relatively cumbersome, and it is difficult to ensure the precise position relationship between substation equipment, which affects the accuracy of the model; at the same time, the precision and accuracy of the model are limited by the richness of the shape library and the matching effect, and the practicality is poor.

[0125] Therefore, the VRML modeling method in the prior art and the three-dimensional modeling method of substation based on surveying and mapping combined with two-dimensional images cannot guarantee the accuracy of modeling, including equipment size, equipment location, relative position and physical topology. There are some problems, and the accuracy of the model is insufficient; the manual modeling method of substation based on three-dimensional laser point cloud has improved the accuracy of equipment location and relative position, but due to the many and complex steps, it is difficult to quickly complete the construction of the model, which greatly increases the time cost of model construction. At the same time, any existing model construction method only superimposes the appearance texture of the physical image into the gray model by means of appearance mapping, which can only beautify the real state of the appearance. The accuracy of the established substation model is insufficient, and it is impossible to combine mechanical features to assist in component-level fault analysis, and it is impossible to optimize the high-precision components inside the model, and it is impossible to restore the real aging of the equipment and the risky parts in the equipment.

[0126] The present invention automatically establishes an initial 3D model of the substation by combining the substation site cloud data with the actual image of the equipment, which can ensure the accuracy of the equipment position and the relative position between the equipment during modeling. Since it is automatic modeling, it saves time and cost compared to manual modeling. Further, according to the historical correlation data of the equipment and the mechanical degree of freedom of the equipment, the equipment risk warning information is obtained, the fault analysis at the component level is realized, the actual aging condition of the equipment and the risk components in the equipment are restored, and the initial 3D model of the substation is optimized to obtain the target 3D model of the substation, which is convenient for users to intuitively understand the real status of the equipment in the 3D model of the substation and realize refined modeling.

[0127] like Figure 2As shown, it is a specific flow chart of the three-dimensional modeling method of the substation provided by the present invention. At one end, point cloud modeling is performed according to the video acquisition data information to realize the establishment of a preliminary gray model, that is, the substation site cloud data is collected by three-dimensional laser scanning method, and the three-dimensional contour model of the substation is obtained; according to the on-site photos, the gray model surface is solidified and mapped, the surface texture is optimized, and a preliminary surface beautification model is obtained, that is, the three-dimensional contour model of the substation is mapped according to the actual image of the equipment in the substation, the surface texture of the three-dimensional contour model of the substation is optimized, and the initial three-dimensional model of the substation is obtained. At the other end, according to the operating environment information, natural environment information, road conditions, extreme weather, etc., equipment test reports, operation and inspection records, operation and inspection cycles, fault information of the same type of equipment, etc., as well as equipment parameters, operating status, physical location information, historical fault information, equipment fault repair plan, etc., a knowledge graph library of the equipment is established. That is, according to the basic information of the equipment, the correlation of equipment individuals, model information, operating status information, test reports, power knowledge keywords, etc. is constructed, and a three-dimensional knowledge graph information retrieval model is constructed. Then, according to the preliminary surface beautification model of the equipment, the three-dimensional knowledge graph information retrieval model is used to retrieve the historical fault information of the equipment and the historical fault information of the equipment in the same batch. At the same time, at the other end, the mechanical degrees of freedom of the equipment are analyzed according to the equipment drawings and the equipment operation status. When the mechanical degrees of freedom of the equipment change, its mechanical strength risk warning is issued and set as high-risk equipment or high-risk components. The results of the mechanical degrees of freedom analysis are combined with the historical fault information of the equipment and the historical fault information of the equipment in the same batch, and the common risk components are analyzed and marked as high-risk components. After that, sensitive components and susceptible faults are analyzed according to the self-operation historical fault information of the equipment. In the three-dimensional knowledge graph information retrieval model, the fault representation and appearance of high-risk components and sensitive components are retrieved. According to the model, operating years, and fault conditions of the equipment and components, the component aging and fault model library and the equipment aging and fault model library are constructed. Further, according to the test report and fault repair results, the aging and fault representation of the risk components are corresponding, and the component modeling optimization and model-level risk prompts are performed, and finally the construction of the substation target three-dimensional model is completed.

[0128] Embodiment 2:

[0129] Based on the same inventive concept, the present invention also provides a three-dimensional modeling system 300 of a substation, the structure of which is as follows: Figure 3 As shown, the system 300 includes:

[0130] The data image acquisition module 301 is used to acquire the substation site cloud data and the actual image of the equipment in the substation;

[0131] The initial three-dimensional model building module 302 is used to identify the equipment identification in the substation according to the substation site cloud data combined with the actual image of the equipment in the substation, and build the initial three-dimensional model of the substation;

[0132] The historical associated data acquisition module 303 is used to search the equipment in the substation in the knowledge graph information database according to the equipment identification in the substation to obtain the historical associated data of the equipment;

[0133] The risk warning information obtaining module 304 is used to determine the risk warning information of the device according to the historical association data of the device;

[0134] The target three-dimensional model acquisition module 305 is used to optimize the initial three-dimensional model of the substation according to the risk warning information of the equipment to obtain the target three-dimensional model of the substation.

[0135] Preferably, the risk warning information obtaining module 304 is specifically used for:

[0136] Filter the historical related data of the equipment to obtain the historical fault information of the equipment;

[0137] Determine the change value of the mechanical degree of freedom of the equipment according to the equipment drawings and the equipment operation status in the historical associated data;

[0138] Determine the risk components of the equipment based on historical fault information and the change value of mechanical degrees of freedom;

[0139] Conduct susceptibility failure analysis on risk components based on historical correlation data of the equipment to obtain risk warning information of the equipment;

[0140] The historical associated data of the equipment in the substation includes one or more of the following: equipment operating years, equipment historical fault information, equipment maintenance records, equipment aging test reports, and equipment maintenance site reports.

[0141] Preferably, the target three-dimensional model obtaining module 305 includes:

[0142] The risk warning submodule is used to optimize the modeling and provide risk warnings for the risk components of the equipment according to the risk warning information of the equipment;

[0143] The 3D model optimization submodule is used to optimize the initial 3D model of the substation according to the results of modeling optimization and risk prompting.

[0144] Preferably, the risk warning submodule is specifically used for:

[0145] Obtain the failure aging characterization of the risk components of the equipment based on the risk warning information of the equipment;

[0146] According to the failure and aging characteristics of risk components, model optimization and risk warning are carried out for the risk components of the equipment.

[0147] Preferably, the system further comprises a module for obtaining risk warning information of equipment in the same batch;

[0148] The module for obtaining risk warning information of equipment in the same batch is used for:

[0149] Obtain historical fault information of devices in the same batch as the device based on the historical associated data of the device;

[0150] Determine risk warning information for equipment in the same batch based on historical failure information of equipment in the same batch.

[0151] Preferably, the target three-dimensional model obtaining module 305 is further used for:

[0152] Optimize the initial three-dimensional model of the substation based on the risk warning information of the equipment and the risk warning information of equipment in the same batch as the equipment.

[0153] Preferably, the construction of the knowledge graph information base in the historical association data acquisition module 303 includes:

[0154] Constructing the knowledge graph information base according to the association between the equipment identification and the equipment environment information, the equipment operation and inspection information and the equipment operation information in the substation;

[0155] The device environment information includes one or more of operating environment information, natural environment information, road condition information, and extreme weather information;

[0156] Equipment operation and inspection information includes one or more of equipment test reports, equipment operation and inspection records, equipment operation and inspection cycles, and equipment failure information of the same type;

[0157] The equipment operation information includes one or more of equipment parameter information, equipment operation status, equipment physical location information, equipment historical fault information, and equipment fault repair plan.

[0158] Preferably, the data image acquisition module 301 is used to collect substation cloud data by three-dimensional laser scanning;

[0159] The initial three-dimensional model building module 302 is specifically used for:

[0160] Obtain a 3D contour model of the substation based on the substation site cloud data;

[0161] The three-dimensional contour model of the substation is mapped according to the actual image of the equipment in the substation, the surface texture of the three-dimensional contour model of the substation is optimized, and the initial three-dimensional model of the substation is obtained.

[0162] Embodiment 3:

[0163] Based on the same inventive concept, Figure 4 As shown, the present invention also provides an electronic device, which may be a computer device, a single-chip device, an intelligent mobile device, etc. The electronic device in this embodiment may include a processor, a memory, a transceiver component, etc. The memory, the processor, and the transceiver component are connected via a bus; the memory may be used to store an execution program, and an exemplary execution program may include instructions; the processor is used to execute the instructions stored in the memory. The memory may also be used to store data, which may be called and / or modified when the instructions are executed.

[0164] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in a readable storage medium to implement the corresponding method flow or corresponding functions, so as to realize the steps of the three-dimensional modeling method of the substation in the above embodiment.

[0165] Embodiment 4:

[0166] Based on the same inventive concept, the present invention also provides a readable storage medium, specifically an electronic device readable storage medium (Memory), which is a memory device in an electronic device for storing programs and data. It can be understood that the readable storage medium here can include both built-in storage media in electronic devices and, of course, extended storage media supported by electronic devices. The storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more execution programs (including program codes). It should be noted that the storage medium here can be a high-speed RAM memory or a non-volatile memory (non-volatile memory), such as at least one disk memory. The processor can load and execute one or more instructions stored in the storage medium to implement the steps of the three-dimensional modeling method of the substation in the above embodiment.

[0167] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0168] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0169] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0170] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0171] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit its protection scope. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that after reading the present invention, those skilled in the art can still make various changes, modifications or equivalent substitutions to the specific implementation methods of the application, but these changes, modifications or equivalent substitutions are all within the protection scope of the claims to be approved.

Claims

1. A three-dimensional modeling method for a substation, characterized in that: include: Obtain cloud data of substations and actual images of equipment in substations; According to the substation site cloud data combined with the actual image of the equipment in the substation, identify the equipment identification in the substation and establish an initial three-dimensional model of the substation; According to the equipment identification in the substation, the equipment in the substation is searched in the knowledge graph information database to obtain the historical associated data of the equipment; Determine risk warning information of the device according to historical associated data of the device; The initial three-dimensional model of the substation is optimized according to the risk warning information of the equipment to obtain a target three-dimensional model of the substation.

2. The method according to claim 1, characterized in that The determining risk warning information of the device according to the historical association data of the device includes: Screening the historical related data of the device to obtain historical fault information of the device; Determine the change value of the mechanical degree of freedom of the equipment according to the equipment drawings and the equipment operation status in the historical associated data; Determining risk components of the device based on the historical fault information and the change value of the mechanical degree of freedom; Performing a susceptible failure analysis on the risk components according to the historical correlation data of the equipment to obtain risk warning information of the equipment; The historical associated data of the equipment in the substation includes one or more of the equipment's operating years, equipment historical fault information, equipment maintenance records, equipment aging test reports, and equipment maintenance site reports.

3. The method according to claim 2, characterized in that Optimizing the initial three-dimensional model of the substation according to the risk warning information of the equipment includes: Modeling optimization and risk warning of risk components of the equipment according to the risk warning information of the equipment; The initial three-dimensional model of the substation is optimized according to the results of the modeling optimization and risk prompting.

4. The method according to claim 3, characterized in that: Modeling optimization and risk warning of risk components of the equipment are performed according to the risk warning information of the equipment, including: Obtaining the failure aging characterization of the risk components of the device according to the risk warning information of the device; Modeling optimization and risk warning are performed on the risk components of the equipment according to the failure aging characteristics of the risk components.

5. The method according to claim 1 or 2, characterized in that: After determining the risk warning information of the device, the method further includes: Obtain historical fault information of devices in the same batch as the device according to historical associated data of the device; The risk warning information of the equipment in the same batch as the equipment is determined according to the historical failure information of the equipment in the same batch as the equipment.

6. The method according to claim 5, characterized in that Optimizing the initial three-dimensional model of the substation according to the risk warning information of the equipment includes: The initial three-dimensional model of the substation is optimized according to the risk warning information of the equipment and the risk warning information of equipment in the same batch as the equipment.

7. The method according to claim 1, characterized in that The construction of the knowledge graph information base includes: Constructing the knowledge graph information base according to the association between the equipment identification and the equipment environment information, the equipment operation and inspection information and the equipment operation information in the substation; The device environment information includes one or more of operating environment information, natural environment information, road condition information, and extreme weather information; The equipment operation and inspection information includes one or more of equipment test reports, equipment operation and inspection records, equipment operation and inspection cycles, and failure information of the same type of equipment; The equipment operation information includes one or more of equipment parameter information, equipment operation status, equipment physical location information, equipment historical fault information, and equipment fault repair plan.

8. The method according to claim 1, characterized in that: The obtaining of substation cloud data includes: collecting substation cloud data by three-dimensional laser scanning; The initial three-dimensional model of the substation is established based on the substation site cloud data combined with the actual image of the equipment in the substation, including: Obtaining a three-dimensional contour model of the substation according to the substation site cloud data; The three-dimensional contour model of the substation is mapped according to the actual image of the equipment in the substation, the surface texture of the three-dimensional contour model of the substation is optimized, and the initial three-dimensional model of the substation is obtained.

9. A three-dimensional modeling system for a substation, characterized in that: include: Data image acquisition module, used to obtain substation cloud data and actual images of equipment in the substation; An initial three-dimensional model building module, used to identify equipment identifiers in the substation based on the substation site cloud data combined with actual images of the equipment in the substation, and to build an initial three-dimensional model of the substation; A historical associated data acquisition module, used to search the equipment in the substation in the knowledge graph information base according to the equipment identification in the substation, and obtain the historical associated data of the equipment; A risk warning information acquisition module, used to determine the risk warning information of the device according to the historical associated data of the device; The target three-dimensional model acquisition module is used to optimize the initial three-dimensional model of the substation according to the risk warning information of the equipment to obtain the target three-dimensional model of the substation.

10. An electronic device, characterized in that: include: at least one processor and memory; The memory and the processor are connected via a bus; The memory is used to store one or more programs; When the one or more programs are executed by the at least one processor, the three-dimensional modeling method of the substation according to any one of claims 1 to 8 is implemented.

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