Substation secondary drawing intelligent examination system based on Sdd

Abstract

The invention discloses a substation secondary drawing intelligent review system based on Sdd, and belongs to the technical field of substation secondary operation and maintenance. The system comprises an SDD analysis module, a topology modeling module, a multi-modal drawing analysis module and a rule reasoning and report generation module. According to the method, the XML configuration file is subjected to automatic analysis and structured conversion, so that effective fusion of multi-source heterogeneous data is realized; the graph database topology is dynamically constructed and standardized according to the analysis result, so that the knowledge graph corresponding to the transformer substation can be corrected according to missing data and error data, and dynamic updating and accurate mapping of the knowledge graph are realized; by establishing the symbol-topological node mapping table and performing consistency verification, high-precision and automatic identification of local defects and logic errors of drawings is realized, and the problems of difficulty in multi-source heterogeneous data fusion, lack of dynamic updating capability of a knowledge graph and bottleneck in the aspect of local defect identification in the prior art are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of substation secondary operation and maintenance, and particularly relates to a substation secondary drawing intelligent review system based on Sdd. BACKGROUND

[0002] With the rapid development of smart substation technology, the design and operation and maintenance of substation secondary systems are facing new challenges. The secondary system configuration file (SCD) of a smart substation becomes a core file for describing the configuration of all intelligent electronic device (IED) instances and communication parameter information of the substation, and its correctness directly affects the correctness of relay protection functions, information communication and monitoring.

[0003] At present, due to the numerous and scattered management of SCD file versions, it is difficult to determine which SCD file to update in operation and maintenance and reconstruction work, which leads to security risks in the contents of other unupdated SCDs and affects the reliable and stable operation of smart substations. At the same time, the existing review methods can only review CAD format drawings and lack compliance checking functions, and cannot systematically generate review reports and constructive modification suggestions.

[0004] In summary, there are problems such as multi-source heterogeneous data fusion dilemma, lack of dynamic updating ability of knowledge graph, and bottleneck in local defect identification in the current substation secondary drawing review process. In view of the above problems, the present application provides a solution. SUMMARY

[0005] The embodiment of the present application provides a substation secondary drawing intelligent review system based on Sdd, solves the problems of multi-source heterogeneous data fusion dilemma, lack of dynamic updating ability of knowledge graph, and bottleneck in local defect identification in the prior art, realizes unified language and associated basis of configuration data and drawing data, realizes real-time, accurate digital mapping of the latest state of the substation secondary system, and high-precision automatic verification of signal flow direction, protection logic and physical implementation consistency.

[0006] The substation secondary drawing intelligent review system based on Sdd provided by the embodiment of the present application comprises: An SDD analysis module is configured to parse an input SDD file in XML format, extract original data, and convert the original data into structured data, and output a structured device parameter table and a secondary device mapping table. A topology modeling module is configured to construct a substation topology structure model according to the structured device parameter table and the secondary device mapping table, and perform standardized processing, and output a standardized substation topology structure model. a multi-modal drawing analysis module, configured to obtain a CAD secondary circuit drawing of a substation, extract physical layout data, map and match a substation topology structure model and the physical layout data, generate a symbol-topology node mapping table, and verify correctness of signal flow direction and protection logic; verifying the signal flow direction refers to determining, after a positive power supply, that the signal flow direction from the positive power supply to a negative power supply according to current characteristics is a correct signal flow direction, otherwise, it is an incorrect signal flow direction; verifying the protection logic refers to that, when the signal flow direction is synchronized with an expected signal flow direction, it is correct protection logic, otherwise, it is incorrect protection logic; a rule reasoning and report generation module, configured to obtain a preset rule library, verify compliance of the symbol-topology node mapping table, and generate an audit report and modification suggestions according to a verification result; the compliance verification refers to that, when a mapping relationship in the symbol-topology node mapping table is not in the rule library, it is non-compliant, otherwise, it is compliant.

[0007] Further, the parsing of the SDD file specifically refers to using an XML parsing program to parse the SDD structure to obtain raw data.

[0008] Further, the conversion of the raw data into structured data specifically refers to storing the raw data extracted from the SDD file as a json file or a database.

[0009] Further, the substation topology structure model specifically refers to a network topology graph or an adjacency matrix formed based on object connection relationships between each node of the substation.

[0010] Further, the extraction of the physical layout data includes: using a target detection model to detect electrical symbols and texts in the CAD secondary circuit drawing, and outputting coordinates, categories and text contents thereof; using a visual model to extract symbol visual features, and using a graph neural network to aggregate to obtain topology features.

[0011] The Sdd-based substation secondary drawing intelligent audit system provided by the embodiment of the application further includes a data real-time module, configured to load the structured device parameter table, the secondary device mapping table and the substation topology structure model to a database; and further configured to detect SDD files or drawing changes at regular time intervals, if the changes, trigger the SDD analysis module and the multi-modal drawing analysis module to perform incremental updating, otherwise, no changes.

[0012] The Sdd-based substation secondary drawing intelligent audit system provided by the embodiment of the application further includes a graphic visualization module, configured to generate a primary main wiring diagram, a compartment diagram, a secondary configuration diagram and a network topology diagram according to the substation topology structure model. Also used to mark the error location and modification suggestions found in the review report in the figure.

[0013] The embodiment of the application provides a substation secondary drawing intelligent review system based on Sdd, which is designed by adopting an object-oriented architecture: All the devices, connections, symbols and rules are encapsulated as objects; It also supports unified management of multiple substations, and supports online deployment and offline operation modes.

[0014] The one or more technical solutions provided in the embodiment of the application have at least the following technical effects or advantages: 1. By automatically parsing and structuring converting the XML format configuration file, the standardized device parameters, board card and terminal information are extracted, and the secondary device mapping table is generated, thereby realizing the unified language and association basis of the configuration data and the drawing data, and effectively solving the problem of multi-source heterogeneous data fusion in the prior art.

[0015] 2. By constructing a graph database topology according to the secondary device mapping table, and matching and standardizing the industry standard template, the knowledge graph representing the connection relationship of the secondary devices of the whole station is dynamically generated and corrected, thereby realizing real-time and accurate digital mapping of the latest state of the substation secondary system, and effectively solving the problem of lack of dynamic updating ability of the knowledge graph in the prior art.

[0016] 3. By fusing the target recognition result of YOLOv8 and the logical relationship provided by the substation topology structure model, and using visual Transformer-GNN to extract and associate visual and topological features to generate a symbol-topology node mapping table, an accurate corresponding relationship between the physical drawing and the logical configuration is established, thereby realizing high-precision automatic verification of the signal flow direction, protection logic and physical implementation consistency, and effectively solving the bottleneck problem of local defect recognition in the prior art. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 A structure diagram of a substation secondary drawing intelligent review system based on Sdd is provided in the embodiment of the application. DETAILED DESCRIPTION

[0018] The embodiment of the application provides a substation secondary drawing intelligent review system based on Sdd, solves the multi-source heterogeneous data fusion dilemma, the lack of dynamic updating ability of a knowledge graph, and a bottleneck problem existing in local defect identification in the prior art, automatically analyzes and structurally converts an XML configuration file, thereby providing a unified and standard data basis, and realizing effective fusion of multi-source heterogeneous data; the knowledge graph corresponding to the substation can be corrected according to missing data and error data by dynamically constructing and standardizing a graph database topology according to the analysis result, thereby realizing dynamic updating and accurate mapping of the knowledge graph; a symbol-topology node mapping table is established and consistency verification is performed, thereby realizing high-precision and automatic identification of local defects and logical errors of the drawing.

[0019] In order to better understand the above technical solutions, the above technical solutions will be described in detail below in combination with the drawings of the specification and specific embodiments.

[0020] As shown in the drawings, Figure 1 The embodiment of the application provides a substation secondary drawing intelligent review system based on Sdd, which comprises an SDD analysis module, a topology modeling module, a multi-modal drawing analysis module, a rule reasoning and report generation module.

[0021] The SDD analysis module is used for acquiring an SDD file in an XML format, the SDD file comprising device parameters and topology configuration parameters, and analyzing the SDD file to extract original data, and is also used for converting the original data into structured data, and outputting a structured device parameter table and a secondary device mapping table.

[0022] In the embodiment, analyzing the SDD file specifically means that the SDD structure is analyzed by using an XML analysis program to obtain the original data.

[0023] The XML analysis program can specifically use Libxml2.

[0024] The original data refers to information data defined in the SDD file.

[0025] The original data comprises secondary circuit device objects, object connection relationships, object categories, object attributes, device parameters, secondary device configurations, board card information, terminal information and communication addresses.

[0026] The substation secondary device comprises a transformer, a circuit breaker, a mutual inductor, a CT, a PT and a protection device.

[0027] Converting the original data into structured data specifically means that the original data extracted from the SDD file is stored as a json file or a database again. Thus, effective integration of multi-source heterogeneous data is realized, and the problem of low efficiency of traditional manual operation is solved.

[0028] The topology modeling module is configured to construct a substation topology structure model according to the structured device parameter table and the secondary device mapping table, to standardize the substation topology structure model according to an industry standard template, and to output the standardized substation topology structure model.

[0029] In this embodiment, the standardization specifically refers to correcting missing data and error data of the substation topology structure model. Furthermore, the knowledge graph corresponding to the substation can be corrected according to the missing data and the error data, so as to realize dynamic updating of the substation knowledge graph and overcome the shortcomings of the prior art that lacks dynamic updating capability of the knowledge graph.

[0030] The output content further includes a device library configured to store node data.

[0031] The substation topology structure model specifically refers to a network topology graph or an adjacency matrix formed based on object connection relationships between each node of the substation.

[0032] The industry standard template specifically refers to a knowledge graph or a network topology graph or an adjacency matrix corresponding to the target substation, which is derived according to a standard for constructing a power transmission and transformation device knowledge graph and a substation architecture standard.

[0033] Specifically, a graph structure is constructed with devices as nodes and connection relationships as edges according to the structured device parameter table and the secondary device mapping table. An adjacency matrix A is used to represent the node connection relationship, where represents that there is a connection between devices i and j, represents no connection; The constructed graph structure is matched with the industry standard template, and the inconsistent part is corrected, and the standardized topology and the device library are output.

[0034] The multi-modal drawing analysis module is configured to obtain a CAD secondary circuit drawing of the substation, extract physical layout data, and map and match the substation topology structure model with the physical layout data to generate a symbol-topology node mapping table and verify the correctness of signal flow and protection logic.

[0035] In this embodiment, the physical layout data is connected according to the substation topology structure model to obtain the symbol-topology node mapping table.

[0036] The physical layout data includes image recognition information and feature extraction information.

[0037] The image recognition information refers to coordinates, categories, and text content obtained by detecting and recognizing components and texts in the CAD secondary circuit drawing based on yolov8.

[0038] The feature extraction information refers to the symbolic visual features and topological features extracted based on the visual Transformer-GNN.

[0039] The verification signal flow direction refers to determining that the signal flow direction from the positive power supply to the negative power supply is correct according to the current characteristic, otherwise it is incorrect.

[0040] The verification protection logic refers to that the signal flow direction is synchronized with the expected signal flow direction, and the protection logic is correct, otherwise it is incorrect.

[0041] Specifically, the multi-modal drawing analysis module performs the following steps: Detecting electrical symbols and texts in the CAD secondary loop drawing using a target detection model, outputting their coordinates, categories and text content; Using a visual model to extract symbolic visual features, and using a graph neural network to aggregate topological features; Establishing a mapping relationship table between symbol instances and topological nodes; Verifying the signal flow direction based on topological connectivity, and verifying the logical correctness according to the protection logic rules.

[0042] The rule reasoning and report generation model is used to obtain a preset rule library, and to verify the compliance of the symbol-topological node mapping table, and to generate an audit report and modification suggestions according to the verification result.

[0043] The rule library contains the mapping relationship of various symbols and topological nodes.

[0044] The compliance verification specifically refers to that when the mapping relationship in the symbol-topological node mapping table is not in the rule library, it is not compliant, otherwise it is compliant.

[0045] The audit report and modification suggestions can be output in various forms, including PDF, HTML, etc.

[0046] The audit report includes the verification result of the signal flow direction, the verification result of the protection logic, and the verification result of the compliance.

[0047] The modification suggestions include outputting the corresponding preset results in the rule library according to the incorrect verification results.

[0048] Specifically, the rule reasoning and report generation module performs the following steps: Defining a rule library Each rule represents a compliance condition. Matching the data in the structured device parameter table, the standardized topology, and the symbol-topological node mapping table with the rule library; Generating error records and modification suggestions for items that violate the rules; All error records are aggregated to generate an audit report and output in PDF or HTML format.

[0049] The Sdd-based intelligent audit system for substation secondary drawings provided in the embodiments of the present application further comprises a data real-time module configured to load the structured device parameter table, the secondary device mapping table and the substation topology structure model into a database. The SDD file or drawing change is also detected in a timely manner, and if changed, the SDD analysis module and the multi-modal drawing analysis module are triggered to perform incremental updating, otherwise no change is made.

[0050] In the embodiments, the substation data is loaded into a real-time library and updated in real time, thereby improving data operation efficiency.

[0051] The Sdd-based intelligent audit system for substation secondary drawings provided in the embodiments of the present application further comprises a graphic visualization module configured to generate a primary main wiring diagram, a compartment diagram, a secondary configuration diagram and a network topology diagram according to the substation topology structure model. The error positions and modification suggestions found in the audit report are also marked in the diagram.

[0052] The Sdd-based intelligent audit system for substation secondary drawings provided in the embodiments of the present application is designed using an object-oriented architecture, in which all devices, connections, symbols and rules are encapsulated as objects. The system also supports unified management of multiple substations and supports online deployment and offline operation modes.

[0053] The system supports management of a certain number of substations at the same time, meets the use of regional unified management of the system, can be deployed offline in an operation and maintenance company or a centralized control station, and can also be deployed online in a substation.

[0054] The above embodiments can be realized in whole or in part by software, hardware, firmware or any combination thereof. When realized by software, the above embodiments can be realized in whole or in part in the form of a computer program product.

[0055] Those skilled in the art can realize that the modules and algorithm steps of the examples described in combination with the embodiments disclosed herein can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized by hardware or software depends on the specific application and design constraints of the technical solutions. Those skilled in the art can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0056] In addition, each function module in each embodiment of the present application can be integrated in one processing module, or each module can be physically present alone, or two or more modules can be integrated in one module.

[0057] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can easily think of changes or replacements within the technical range disclosed by the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0058] Finally: the above is only a preferred embodiment of the present application and is not used to limit the present application, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. An intelligent review system for substation secondary drawings based on SDD, characterized by: include: The SDD analysis module is used to parse the input XML format SDD file, extract the original data, convert the original data into structured data, and output the structured device parameter table and secondary device mapping table; The topology modeling module is used to construct a substation topology model based on the structured equipment parameter table and secondary equipment mapping table, perform standardization processing, and output the standardized substation topology model; The multimodal drawing analysis module is used to obtain the substation's CAD secondary circuit drawings, extract the physical layout data, map the substation topology model to the physical layout data, generate a symbol-topology node mapping table, and verify the correctness of signal flow and protection logic; Verifying the signal flow direction means that after determining the positive power supply, the signal flow direction from the positive power supply to the negative power supply according to the current characteristics is correct, otherwise it is an incorrect signal flow direction; Verifying the protection logic means that if the signal flow direction is synchronized with the expected signal flow direction, it is a correct protection logic; otherwise, it is an incorrect protection logic; The rule reasoning and report generation module is used to obtain the preset rule base, verify the compliance of the symbol-topology node mapping table, and generate a review report and modification suggestions based on the verification results; Compliance verification means that when the mapping relationship in the symbol-topology node mapping table is not in the rule base, it is non-compliant, otherwise it is compliant.

2. The intelligent review system for substation secondary drawings based on SDD as claimed in claim 1, characterized in that: Parsing the SDD file specifically refers to: parsing the SDD structure using an XML parser to obtain original data.

3. The intelligent review system for substation secondary drawings based on SDD as claimed in claim 1, characterized in that: Converting the raw data into structured data specifically refers to: re-saving the raw data extracted from the SDD file as a json file or a database.

4. The intelligent review system for substation secondary drawings based on SDD as claimed in claim 1, characterized in that: The substation topology model specifically refers to a network topology graph or adjacency matrix based on the object connection relationship between each node in the substation.

5. The intelligent review system for substation secondary drawings based on SDD as claimed in claim 1, characterized in that: The extracting of physical layout data comprises: Use the object detection model to detect electrical symbols and text in CAD secondary circuit drawings, and output their coordinates, categories, and text content; The symbolic visual features are extracted using a visual model and aggregated using a graph neural network to obtain topological features.

6. The intelligent review system for substation secondary drawings based on SDD as claimed in claim 1, characterized in that: It also includes a data real-time module for loading structured equipment parameter tables, secondary equipment mapping tables and substation topology models into the database; It is also used to periodically detect changes in SDD files or drawings. If there are changes, the SDD analysis module and multimodal drawing analysis module will be triggered to perform incremental updates; otherwise, no changes will be made.

7. The intelligent review system for substation secondary drawings based on SDD as claimed in claim 1, characterized in that: It also includes a graphic visualization module for generating primary main connection diagrams, bay diagrams, secondary configuration diagrams, and network topology diagrams based on the substation topology model; It is also used to mark the error locations and modification suggestions found in the review report in the figure.

8. The SDD-based substation secondary drawing intelligent review system according to claim 1, characterized in that: Designed using object-oriented architecture: All devices, connections, symbols, and rules are encapsulated as objects; It also supports unified management of multiple substations and supports online deployment and offline operation modes.

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