Substation secondary measurement point list automatic generation method, system, device and medium

Abstract

The application discloses a transformer substation secondary measuring point list automatic generation method, system, equipment and medium, belongs to the secondary design automation of the power system, computer aided design (CAD) data engineering, graph calculation and rule reasoning cross field, carries out access and normalized analysis to the secondary design multi-source data of the transformer substation, constructs the heterogeneous connection knowledge graph based on the obtained standardization entity set and relation set, extracts the candidate measuring point set through the combination of restricted graph search and graph pattern matching;The candidate measuring point set is decided and normalized by a rule decision mechanism, and the standardized measuring point entry is obtained;Multi-criteria consistency closed loop verification is performed on the standardized measuring point entry, based on the standardized measuring point entry and the verification result, the evidence chain corresponding to each measuring point is generated, and the standardized measuring point entry and the evidence chain are associated and exported to the transformer substation secondary measuring point list.The application is more robust, consistent, traceable and auditable.

Description

Technical Field

[0001] This invention belongs to the interdisciplinary field of power system secondary design automation, computer-aided design (CAD) data engineering, graph computing and rule reasoning, and specifically involves the method, system, equipment and medium for automatically generating a list of secondary measurement points in substations. Background Technology

[0002] In the substation secondary design process, the measurement point list is a core technical document that connects secondary circuit design, equipment selection, wiring construction, and subsequent operation and maintenance. Its accuracy and completeness directly determine the operational reliability and design standardization of the substation secondary system, making it an indispensable key link in the secondary design work.

[0003] Currently, the generation of measurement point lists in substation secondary design is relatively traditional, mainly relying on designers to manually extract relevant information from various design documents, then organize, verify, and output it. The core sources of extraction include CAD secondary schematic diagrams, terminal block layout diagrams, circuit wiring tables, and various equipment technical specifications. Besides manual generation, in some scenarios, a simple template mapping method is used to export the measurement point list. This involves pre-setting a fixed table template and filling the extracted scattered information into the template columns, thereby simplifying the generation process.

[0004] However, the existing measurement point list generation technologies mentioned above all have obvious limitations and shortcomings, making it difficult to meet the needs of substation secondary design towards standardization, refinement, and intelligence. The specific defects are as follows: First, semantic fragmentation is a prominent issue. Existing technologies do not provide unified structured modeling for the connection relationships between drawings, the definition of circuit functions, and the core attributes of equipment and terminals in secondary design. Information in various design documents is scattered and independent, lacking an effective association mechanism. This makes it difficult to associate information across drawings and volumes, requiring designers to spend a lot of time sorting out the correspondence between different documents, and is prone to association errors.

[0005] Second, the robustness of the rules is insufficient. Whether it is manual extraction or simple template mapping, the core of the extraction relies on name matching or fixed column mapping. This method is difficult to adapt to complex topology scenarios in secondary design, such as the extraction of breakpoint information of transfer circuits, the identification of information of non-standard annotations, and the circuit association across cabinets and terminal blocks. It is very easy to miss or mis-extract measurement point information, which seriously affects the accuracy of the measurement point list.

[0006] Third, there is a lack of closed-loop verification mechanism. The measurement point list generated by existing technologies is mostly in the form of static tables, which can only achieve a simple listing of information. There is no closed-loop verification link for the measurement point information. It is impossible to automatically verify key indicators such as topology closure, signal direction consistency, and cross-drawing information consistency. It is difficult to ensure the consistency between the measurement point list and the design drawings and equipment parameters. In other words, it cannot achieve the design requirement of "drawing-table consistency" and a lot of manpower is required for manual verification.

[0007] Fourth, the information is not traceable. The existing generation method lacks a complete chain of evidence from the "original connection facts" in the original design data to the "specific measurement point entries" in the measurement point list. The basis for the extraction of measurement point information, the modification process, and the associated sources are not effectively recorded, which makes it difficult to manage subsequent design changes, makes version auditing difficult to carry out, and makes it impossible to achieve traceability and controllability of measurement point information throughout its entire life cycle.

[0008] In summary, existing technologies for generating measurement point lists for substation secondary design suffer from numerous problems, including low efficiency, poor accuracy, weak correlation, and lack of traceability. These issues not only increase the workload of designers and raise design costs, but also may affect the construction quality and operational safety of substation secondary systems due to defects in the measurement point lists. Therefore, there is an urgent need for a measurement point list generation technology that can solve the above-mentioned defects and make up for the shortcomings of existing technologies. Summary of the Invention

[0009] The purpose of this invention is to overcome the problems of low efficiency, poor accuracy, weak correlation and lack of traceability in the generation of existing substation secondary design measurement point lists, and to propose an automatic generation method, system, equipment and medium for substation secondary measurement point lists.

[0010] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, the present invention provides a method for automatically generating a list of secondary measurement points in a substation, comprising the following steps: Multi-source data from substation secondary design are accessed and normalized to obtain standardized entity sets and relation sets. Based on standardized entity and relation sets, a heterogeneous connectivity knowledge graph is constructed to represent the substation secondary circuit topology, equipment attributes, and document location. Based on heterogeneous connectivity knowledge graphs, a set of candidate measurement points is extracted by combining restricted graph search and graph pattern matching. The candidate measurement point set is processed and normalized through a rule-based decision-making mechanism to obtain standardized measurement point entries; Perform multi-criteria consistency closed-loop verification on standardized measurement point items and obtain the verification results; Based on standardized measurement point entries and verification results, an evidence chain corresponding to each measurement point is generated, and the standardized measurement point entries are associated with the evidence chains to export the substation secondary measurement point list.

[0011] Furthermore, the multi-source data for substation secondary design includes CAD engineering data, terminal block tables, circuit wiring tables, and wire core tables; Normalization parsing includes standardizing the values ​​of relevant fields such as equipment code, terminal number, wire core number, circuit code, and cabinet affiliation, and parsing text annotations into semantic tags.

[0012] Furthermore, the heterogeneous connection knowledge graph is a non-homogeneous graph G=(V,E), where the node set V includes devices, cabinets, partitions, terminals, wire cores, loop semantic nodes, document location nodes, and virtual logical nodes, and the edge set E includes physical connection edges, membership relationship edges, loop affiliation edges, logical semantic mapping edges, document location edges, and cross-document entity alignment edges.

[0013] Furthermore, the restricted graph search takes the terminals of the measurement and control or protection equipment as the root node, and adopts a depth-first search algorithm or a bidirectional breadth-first search algorithm. During the search process, the search path is pruned based on semantic tags, and the maximum search depth and the maximum number of transition layers are limited. The graph pattern matching algorithm employs a constrained isomorphic matching algorithm, which defines typical measurement point loops as template subgraphs. It combines node type, number parsing, semantic labels, and device attributes to perform multi-feature matching and then performs constraint pruning.

[0014] Furthermore, the rule decision-making mechanism adopts a structured rule configuration set, which is loaded, parsed, and executed at runtime by a pre-defined rule parsing logic; The set of structured rule configurations includes one or more of the following: topological constraint rules, semantic decision rules, field generation and normalization rules, and conflict resolution rules. Topological constraint rules restrict the connection paths corresponding to candidate test points to either pass through or prohibit them from passing through specific types of nodes or connection relationships; semantic determination rules determine the type of candidate test points based on loop semantics, node attributes, or logical role information; field generation and normalization rules deduce the values ​​of test point fields based on the connection characteristics and semantic information of candidate test points, and unify field names, dimensions, and formats; conflict resolution rules determine the final test point entry based on preset priority, matching degree, or evidence completeness when multiple candidate test points meet the conditions.

[0015] Furthermore, the multi-criteria consistency closed-loop verification includes topology closure verification, signal direction consistency verification, cross-drawing consistency verification, and field integrity verification. Topology closure verification includes verifying the legality of path endpoints and whether the path is broken or forms an illegal short circuit or loop; signal direction consistency verification includes verifying the consistency of the signal direction of DI / DO measurement points with the semantic and logical direction of the loop; cross-drawing consistency verification includes verifying the consistency of terminal information corresponding to the same signal code referenced across volumes; field integrity verification includes verifying whether the range, value and unit of AI measurement points are completely derived.

[0016] Furthermore, the evidence chain corresponding to each test point includes document location information, node and edge sequence of candidate paths, hit rule or template number, verification conclusion and reason code, and evidence chain hash fingerprint; The exported list of secondary measurement points in substations is paginated by measurement point type and segmented by cabinet, and inherits the preset document style. Default fields are highlighted, and the evidence chain is associated with the corresponding measurement point item in the form of an Excel hidden page or a hidden column in the list, and then output along with the list of secondary measurement points in substations.

[0017] Secondly, the present invention provides an automatic generation system for a list of secondary measurement points in a substation, comprising: The data standardization module is used to access and normalize multi-source data of substation secondary design to obtain standardized entity sets and relation sets. A knowledge graph module is constructed to build a heterogeneous connection knowledge graph based on standardized entity sets and relation sets. The heterogeneous connection knowledge graph represents the substation secondary circuit topology, equipment attributes, and document location. The candidate test point extraction module is used to extract a set of candidate test points based on a heterogeneous connectivity knowledge graph by combining restricted graph search and graph pattern matching. The measurement point item decision and normalization module is used to make decisions and normalize the candidate measurement point set through a rule-based decision mechanism to obtain standardized measurement point items. The closed-loop verification module is used to perform multi-criteria consistency closed-loop verification on standardized measurement point items and obtain the verification results. The measurement point list export module is used to generate an evidence chain corresponding to each measurement point based on standardized measurement point entries and verification results, and then export the substation secondary measurement point list after associating the standardized measurement point entries with the evidence chains.

[0018] Thirdly, the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement an automatic generation method for a list of secondary measurement points in a substation.

[0019] Fourthly, the present invention provides a computer-readable storage medium storing a computer program, wherein the computer program is executed by a processor, and a method for automatically generating a list of secondary measurement points in a substation.

[0020] Compared with the prior art, the present invention has the following beneficial technical effects: The proposed method for automatically generating a list of secondary measurement points in substations involves constructing a heterogeneous knowledge graph of substation secondary connections, combining graph reasoning / graph pattern matching with multidimensional consistency verification, to automatically generate and export a list of secondary measurement points in substations (AI / DI / DO, where AI stands for Analog Input, DI for Digital Input, and DO for Digital...). This invention provides an automatic measurement point list generation scheme driven by graph models, rule-based reasoning, consistent closed-loop, and interpretable evidence chain output. It automatically extracts and generates measurement point list row data from multi-source secondary design data, performs multi-dimensional verification on the generated results and outputs the verification status, and outputs an interpretable measurement point list carrying the evidence chain. It supports bidirectional traceability and discrepancy auditing, enhancing credibility and advancement based on existing engineering export capabilities. It solves the problems of low efficiency, poor accuracy, weak correlation, and lack of traceability in existing substation secondary design measurement point list generation. Compared with existing manual or simple template export, this invention is more robust, consistent, verifiable, traceable, and auditable. Specifically, based on topological and semantic reasoning, it reduces missed / incorrect sampling caused by non-standard annotations. The output includes verification conclusions such as topological closure, directional consistency, cross-drawing consistency, and field integrity. The evidence chain and hash fingerprint enable each measurement point to be traced back to the drawing connection facts and matching rules. Attached Figure Description

[0021] The accompanying drawings described herein are for illustrative purposes only and are not intended to limit the scope of the invention in any way. Furthermore, the shapes and proportions of the components in the drawings are merely schematic to aid in understanding the invention and do not specifically limit the shapes and proportions of the components. In the drawings: Figure 1 This is a flowchart of the method for automatically generating a list of secondary measurement points in a substation according to the present invention.

[0022] Figure 2 This is a structural diagram of the automatic generation system for the secondary measurement point list of substations according to the present invention.

[0023] Figure 3 This is a diagram of the electronic equipment used in the automatic generation method for the substation secondary measurement point list of the present invention.

[0024] Figure 4 This is a general flowchart of an embodiment of the present invention.

[0025] Figure 5 This is a schematic diagram of a heterogeneous connectivity knowledge graph data model in an embodiment of the present invention.

[0026] Figure 6 This is a schematic diagram of the Excel export structure and evidence chain output in an embodiment of the present invention. Detailed Implementation

[0027] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0028] Example 1 See Figure 1 The method for automatically generating a list of secondary measurement points in a substation includes the following steps: Multi-source data from substation secondary design is accessed and normalized to obtain standardized entity and relation sets. Based on these standardized sets, a heterogeneous connectivity knowledge graph is constructed to represent the substation secondary circuit topology, equipment attributes, and document location. Based on this knowledge graph, candidate measurement point sets are extracted using a combination of restricted graph search and graph pattern matching. A rule-based decision-making mechanism is used to make decisions and normalize the candidate measurement point sets, resulting in standardized measurement point entries. Multi-criteria consistency closed-loop verification is performed on these standardized measurement point entries to obtain the verification results. Based on the standardized measurement point entries and verification results, an evidence chain corresponding to each measurement point is generated, and the standardized measurement point entries are associated with the evidence chains to export a list of substation secondary measurement points.

[0029] See Figure 4 The overall process of this embodiment is as follows: S1: Multi-source data access and normalization analysis S2: Construction of Heterogeneous Connection Knowledge Graph S3: Candidate Measurement Point Extraction (Restricted Graph Search + Graph Pattern Matching) S4: Measurement Point Decision and Normalization (Rule-based DSL / Equivalent Rule Engine + Conflict Resolution) S5: Multi-criteria Consistency Verification (Closed-Loop Verification) S6: Explainable output with chain of evidence and Excel list export Specifically, S1: Multi-source data access and normalization parsing includes: Extract "raw fact tuples" from CAD engineering data, terminal block tables, circuit wiring tables, wire core tables, etc., and then clean and standardize them: Unify fields such as equipment code, terminal number, wire core number, circuit code, and cabinet affiliation; The text annotations are parsed into semantic tags, such as: remote signaling, remote control, alarm, analog signal, public terminal, jumper, etc. This forms a standardized set of entities and a set of relationships that can be used for graph modeling.

[0030] Specifically, S2: Heterogeneous Connection Knowledge Graph Construction includes: See Figure 5 Construct a nonhomogeneous graph G=(V,E) to represent the topology of secondary loops, device attributes, and document location.

[0031] Wherein, node V (example); Equipment (equipment, cabinets, partitions); Terminal; WireCore (wire core / conductor segment); Loop (a loop semantic node); DocumentRef (location of drawings / volumes / page numbers / block IDs / coordinates, etc.); LogicNode (common endpoint, transfer point, virtual logical node, etc.); Edge E (example); ConnectsTo: Physical connection; Contains(KeyValuePair<Tkey,TValue> ): Hierarchical relationship (cabinet—equipment—terminal / wire core); BelongsTo: Terminal / wire core belongs to the circuit; FunctionalMap: Maps physical connections to logical semantics; RefersTo: Connects the facts to the drawing; SameAs: Entity alignment across drawings / volumes; This map solves the problem that traditional tables cannot express topological links and cross-map references, providing a unified carrier for subsequent reasoning and verification.

[0032] Specifically, S3: Candidate Test Point Extraction (Restricted Search + Graph Pattern Matching) includes: Restricted graph search includes: Perform restricted DFS or bidirectional BFS with the measurement and control / protection equipment terminals as the root nodes: Use semantic labels to prune paths (e.g., DI candidate paths do not cross DO-driven edges). Limit maximum depth and maximum number of transition layers; In cross-drawing scenarios, controllable jumps can be achieved using SameAs / RefersTo edges.

[0033] Output a set of candidate paths P, where each path retains a node sequence and an edge sequence for use in constructing a chain of evidence.

[0034] Graph pattern matching includes: Typical measurement point loops are defined as template subgraphs TK (such as remote signaling dual positions, remote control jump-and-combination positions, AI acquisition links, etc.), and constraint isomorphic matching is performed in graph G (an improved VF2 or equivalent pruning algorithm can be used): Node matching and fusion of multiple features such as type, number parsing, semantic tags, and device attributes; Incorporate constraint pruning (terminal number segment validity, loop semantic consistency, etc.) to improve robustness.

[0035] Output the candidate measurement point set C.

[0036] Specifically, S4: Measurement Point Decision and Normalization (Rule-Based DSL + Conflict Resolution) includes: The candidate measurement points are evaluated according to rules and standardized measurement point entries are generated, ultimately resulting in an IoRow (or an equivalent mapping structure), whose fields include at least: Public fields: PanelName, Group, Name, EquipmentCode, Loop; DI / DO fields: SignalType, IsGeneral, Category, Alter, Event, Print, Memory, Memo; AI fields: Range, Value, Unit; Source tracing fields (enhanced by this invention): EvidenceHash, RuleId, ConfidenceScore, ValidationStatus (can be written to hidden columns or evidence tables); Rules can be expressed using a DSL (Domain-Specific Language) or implemented using an equivalent configurable rule engine, supporting: Topological constraints (must pass through / cannot pass through a certain type of node); Semantic constraints (loop semantics, common terminal role); Field normalization (naming conventions, default range / unit derivation); Conflict resolution (selection based on confidence / evidence completeness when multiple candidates match the same test point); The rule-configurable measurement point decision mechanism includes: In this embodiment, the rules are not fixed judgment conditions embedded in the program logic, but are provided in the form of a structured rule configuration set, and are loaded, parsed and executed by the measurement point decision and normalization module at runtime.

[0037] Rule configuration is used to control the process of determining candidate measurement points, and includes at least one or more of the following rule types: Topological constraint rules are used to restrict the connection paths corresponding to candidate test points from passing through or prohibiting them from passing through specific types of nodes or connection relationships, thereby constraining the legality of candidate paths. Semantic determination rules are used to determine the type of test point to which a candidate test point belongs based on loop semantics, node attributes, or logical role information. Field generation and normalization rules are used to deduce the values ​​of the test point fields based on the connection features and semantic information of the candidate test points, and to unify the field names, units or formats. Conflict resolution rules are used to determine the final test point item based on preset priority, matching degree, or evidence completeness when multiple candidate test points meet the conditions.

[0038] By adopting the aforementioned configurable rule mechanism, the measurement point decision logic can adapt to different engineering specifications, design habits, or differences in measurement point definitions without modifying the main program logic, thereby improving the versatility and scalability of the automatic measurement point list generation method.

[0039] Specifically, S5: Multi-criteria consistency verification (closed-loop verification) includes: See Figure 6 Perform verification on each measurement point entry and output a report: Topology closure check: whether the path endpoints are valid, whether the path is broken or forms an illegal short circuit / loop; Signal direction consistency check: DI / DO is consistent with the loop semantics and logical direction; Cross-drawing consistency check: Whether the same signal referenced across different volumes maintains consistent encoding / terminal; Field integrity verification: such as whether the Range / Value / Unit of AI are completely deduced. If they cannot be deduced, they are marked as "to be completed".

[0040] Specifically, S6: Explainable output with chain of evidence and Excel inventory export includes: This embodiment generates a SourceEvidence metadata (chain of evidence) for each measurement point, which includes at least: DocumentRefs: Drawing location information (drawing ID / drawing number / block ID / coordinates, etc.); GraphPath: Candidate path node / edge sequence (compressible); RuleId / TemplateId: Matching rule / template number; ValidationReport: Validation results and reason codes; EvidenceHash: Evidence chain hash fingerprint (supports differential auditing); Export method: Pagination is done by Group (AI / DI / DO), and segmentation is done by PanelName. Styles are inherited and print areas are set. Default AI items (Range / Value / Unit) continue to be highlighted, but the basis is upgraded from a fixed string to "validation status / field integrity status". The chain of evidence can be output in one of two ways: Method A: Add a hidden page called Evidence (Evidence Matrix) to Excel, with each row mapped one-to-one with the list row; Method B: Add a hidden column to the list page containing EvidenceHash / RuleId / ValidationStatus / ConfidenceScore, and provide an external evidence index file.

[0041] Example 2 See Figure 2 The automatic generation system for the list of secondary measurement points in substations includes: The data standardization module is used to access and normalize multi-source data of substation secondary design to obtain standardized entity sets and relation sets. A knowledge graph module is constructed to build a heterogeneous connection knowledge graph based on standardized entity sets and relation sets. The heterogeneous connection knowledge graph represents the substation secondary circuit topology, equipment attributes, and document location. The candidate test point extraction module is used to extract a set of candidate test points based on a heterogeneous connectivity knowledge graph by combining restricted graph search and graph pattern matching. The measurement point item decision and normalization module is used to make decisions and normalize the candidate measurement point set through a rule-based decision mechanism to obtain standardized measurement point items. The closed-loop verification module is used to perform multi-criteria consistency closed-loop verification on standardized measurement point items and obtain the verification results. The measurement point list export module is used to generate an evidence chain corresponding to each measurement point based on standardized measurement point entries and verification results, and then export the substation secondary measurement point list after associating the standardized measurement point entries with the evidence chains.

[0042] Example 3 See Figure 3An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the automatic generation method for a substation secondary measurement point list: multi-source data of substation secondary design is accessed and normalized to obtain a standardized set of entities and relationships; a heterogeneous connection knowledge graph is constructed based on the standardized entity and relationship sets to express the substation secondary circuit topology, equipment attributes, and document location; based on the heterogeneous connection knowledge graph, a candidate measurement point set is extracted through a combination of restricted graph search and graph pattern matching; the candidate measurement point set is decided and normalized using a rule-based decision-making mechanism to obtain standardized measurement point entries; a multi-criteria consistency closed-loop verification is performed on the standardized measurement point entries to obtain the verification results; based on the standardized measurement point entries and the verification results, an evidence chain corresponding to each measurement point is generated, and the standardized measurement point entries are associated with the evidence chains to export the substation secondary measurement point list.

[0043] Example 4 A computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, a method for automatically generating a list of secondary measurement points in a substation is described: The method involves accessing and normalizing multi-source data from the substation's secondary design to obtain standardized entity and relation sets; constructing a heterogeneous connectivity knowledge graph based on the standardized entity and relation sets to represent the substation's secondary circuit topology, equipment attributes, and document location; extracting a candidate measurement point set based on the heterogeneous connectivity knowledge graph using a combination of restricted graph search and graph pattern matching; performing decision-making and normalization processing on the candidate measurement point set using a rule-based decision-making mechanism to obtain standardized measurement point entries; performing multi-criteria consistency closed-loop verification on the standardized measurement point entries to obtain verification results; and generating an evidence chain corresponding to each measurement point based on the standardized measurement point entries and verification results, and exporting a list of secondary measurement points in the substation by associating the standardized measurement point entries with the evidence chains.

[0044] Example 5 An apparatus for implementing the automatic generation method of a substation secondary measurement point list when a computer program is executed by a processor, comprising: Data access and normalization parsing module; Heterogeneous connectivity knowledge graph construction module; Candidate measurement point extraction module (restricted graph search and graph pattern matching); Measurement point decision and normalization module (rule DSL / equivalent rule engine); Multi-criteria consistency verification module; Evidence chain generation and hash fingerprint module; Excel inventory export module (with mechanisms such as pagination by AI / DI / DO, segmentation by screen / cabinet, style inheritance, and highlighting).

[0045] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, read-only optical discs, optical storage, etc.) containing computer-usable program code.

[0046] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0047] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0048] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0049] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the present invention.

Claims

1. A method for automatically generating a list of secondary measuring points in a substation, characterized in that, Includes the following steps: Multi-source data from substation secondary design are accessed and normalized to obtain standardized entity sets and relation sets. Based on the standardized entity set and relation set, a heterogeneous connection knowledge graph is constructed to express the substation secondary circuit topology, equipment attributes, and document location. Based on the heterogeneous connectivity knowledge graph, a set of candidate measurement points is extracted by combining restricted graph search and graph pattern matching. The candidate measurement point set is processed by a rule-based decision-making mechanism to obtain standardized measurement point entries. Perform multi-criteria consistency closed-loop verification on the standardized measurement point items and obtain the verification results; Based on the standardized measurement point entries and verification results, an evidence chain corresponding to each measurement point is generated, and the standardized measurement point entries are associated with the evidence chains to export the substation secondary measurement point list.

2. The method for automatically generating a list of secondary measuring points in a substation according to claim 1, characterized in that, The substation secondary design multi-source data includes CAD engineering data, terminal block tables, circuit wiring tables, and wire core tables. The normalization parsing includes standardizing the values ​​of relevant fields such as equipment code, terminal number, wire core number, circuit code, and cabinet affiliation, and parsing the text annotations into semantic tags.

3. The method for automatically generating a list of secondary measuring points in a substation according to claim 1, characterized in that, The heterogeneous connection knowledge graph is a non-homogeneous graph G=(V,E), where the node set V includes devices, cabinets, partitions, terminals, wire cores, loop semantic nodes, document location nodes, and virtual logical nodes, and the edge set E includes physical connection edges, membership relationship edges, loop affiliation edges, logical semantic mapping edges, document location edges, and cross-document entity alignment edges.

4. The method for automatically generating a list of secondary measuring points in a substation according to claim 1, characterized in that, The restricted graph search uses the terminals of the measurement and control or protection equipment as the root node, and adopts a depth-first search algorithm or a bidirectional breadth-first search algorithm. During the search process, the search path is pruned based on semantic tags, and the maximum search depth and the maximum number of transition layers are limited. The graph pattern matching uses a constrained isomorphic matching algorithm, which defines typical measurement point loops as template subgraphs, and performs multi-feature matching by combining node type, number parsing, semantic labels and device attributes, and performs constraint pruning.

5. The method for automatically generating a list of secondary measuring points in a substation according to claim 1, characterized in that, The rule decision-making mechanism adopts a structured rule configuration set, which is loaded, parsed and executed by a preset rule parsing logic at runtime. The structured rule configuration set includes one or more of the following: topological constraint rules, semantic judgment rules, field generation and normalization rules, and conflict resolution rules. The topology constraint rules restrict the connection paths corresponding to candidate test points to either pass through or be prohibited from passing through specific types of nodes or connection relationships; the semantic determination rules determine the type of candidate test points based on loop semantics, node attributes, or logical role information. The field generation and normalization rules deduce the values ​​of the test point fields based on the connection characteristics and semantic information of the candidate test points, and unify the field names, dimensions and formats; the conflict resolution rules determine the final test point entries based on preset priority, matching degree or evidence completeness when multiple candidate test points meet the conditions.

6. The method for automatically generating a list of secondary measurement points in a substation according to claim 1, characterized in that, The multi-criteria consistency closed-loop verification includes topology closure verification, signal direction consistency verification, cross-drawing consistency verification, and field integrity verification. The topology closure verification includes verifying the legality of path endpoints and whether the path is broken or forms an illegal short circuit or loop; the signal direction consistency verification includes verifying the consistency of the signal direction of DI / DO measurement points with the semantic and logical direction of the loop; the cross-drawing consistency verification includes verifying the consistency of terminal information corresponding to the same signal code referenced across volumes; the field integrity verification includes verifying whether the range, value and unit of AI measurement points are completely derived.

7. The method for automatically generating a list of secondary measuring points in a substation according to claim 1, characterized in that, The evidence chain corresponding to each test point includes document location information, node and edge sequence of candidate paths, hit rule or template number, verification conclusion and reason code, and evidence chain hash fingerprint. The exported list of secondary measurement points in the substation is paginated by measurement point type and segmented by cabinet, and inherits the preset document style. Default fields are highlighted, and the evidence chain is associated with the corresponding measurement point item in the form of an Excel hidden page or a hidden column in the list, and then output along with the list of secondary measurement points in the substation.

8. An automatic generation system for a list of secondary measuring points in a substation, characterized in that, include: The data standardization module is used to access and normalize multi-source data of substation secondary design to obtain standardized entity sets and relation sets. A knowledge graph construction module is used to construct a heterogeneous connection knowledge graph based on the standardized entity set and relation set. The heterogeneous connection knowledge graph expresses the substation secondary circuit topology, equipment attributes, and document location. The candidate test point extraction module is used to extract a set of candidate test points based on the heterogeneous connection knowledge graph by combining restricted graph search and graph pattern matching. The measurement point item decision and normalization module is used to make decisions and normalize the candidate measurement point set through a rule-based decision mechanism to obtain standardized measurement point items. The closed-loop verification module is used to perform multi-criteria consistency closed-loop verification on the standardized measurement point items and obtain the verification results. The measurement point list export module is used to generate an evidence chain corresponding to each measurement point based on the standardized measurement point entries and verification results, and export the substation secondary measurement point list after associating the standardized measurement point entries with the evidence chains.

9. An electronic device, characterized in that, The method includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the automatic generation method for the list of secondary measurement points in a substation as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the automatic generation method for the list of secondary measurement points in a substation as described in any one of claims 1-7.

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