Method and system for intelligent generation of test scripts for dynamic checking of substation anti-misoperation

Abstract

The present application relates to a kind of test script intelligent generation method and system of substation anti-misoperation dynamic check.Test method is: the content of substation interlocking logic diagram or anti-misoperation acceptance card is extracted and the anti-misoperation logic formula of fixed format is generated;Operation order is generated based on the anti-misoperation logic formula and covers positive and negative direction full acceptance;Through text matching large model, in 103 communication text, 104 point table or SCD configuration file, the path or point number matched with each description object in operation order is found and associated, to generate the first edition substation anti-misoperation dynamic check test script;Self-check is carried out to the first edition substation anti-misoperation dynamic check test script, to obtain accurate substation anti-misoperation dynamic check test script.The system includes anti-misoperation interlocking logic analysis module, anti-misoperation operation order automatic generation module, three remote signal automatic association module, anti-misoperation check script self-checking module connected in turn.The present application can guarantee the quality of substation anti-misoperation dynamic check, improve check efficiency.

Description

Technical Field

[0001] This invention relates to the field of substation automation technology, specifically to a method and system for intelligently generating test scripts for dynamic verification of substation error prevention. Background Technology

[0002] More and more substations are adopting automated verification methods for error prevention verification. Currently, the error prevention test scripts are entirely manually written by professionals based on the wiring configuration of the primary equipment within the substation, with each object in the test script being linked to an object in the configuration file. However, due to limitations in the technical skills and sense of responsibility of the script writers, issues such as incomplete test script design and incorrect object associations may occur, resulting in compromised acceptance quality, low efficiency, and an inability to meet the needs of field applications. Summary of the Invention

[0003] The purpose of this invention is to provide a method and system for intelligently generating test scripts for dynamic verification of substation anti-misoperation measures, thereby ensuring the quality of verification work and improving verification efficiency.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0005] A method for intelligently generating test scripts for dynamic verification of substation error prevention includes the following steps:

[0006] Step S1: Obtain the substation interlocking logic diagram or anti-misoperation acceptance card, extract the contents of the substation interlocking logic diagram or anti-misoperation acceptance card, and generate anti-misoperation logic formulas in a fixed format;

[0007] Step S2: Generate an operation ticket covering full acceptance in both forward and reverse directions based on the error prevention logic formula;

[0008] Step S3: Import the 103 communication text, 104 point table or SCD configuration file. Use the text matching model to find the path or point number that matches each described object in the operation ticket in the 103 communication text, 104 point table or SCD configuration file and associate them. In this way, the path or point number is associated with the operation ticket to generate the initial version of the substation anti-misoperation dynamic verification test script.

[0009] Step S4: If the 103 communication text or the SCD configuration file is imported in step S3, the initial version of the substation anti-misoperation dynamic verification test script is self-checked, and any abnormalities detected are processed to obtain an accurate substation anti-misoperation dynamic verification test script.

[0010] In step S1, the error prevention logic formula includes the acceptance object, conditional parameters, related symbols of the conditional parameters, and the overall formula logic symbols.

[0011] In step S1, the method for extracting the content of the substation interlocking logic diagram and generating a fixed-format anti-error logic formula is as follows: parse the graphic data in the substation interlocking logic diagram, extract key graphic information, calculate the geometric relationship between the graphics based on the key graphic information, and then combine them to obtain the logical relationship between the graphics. Finally, generate the fixed-format anti-error logic formula based on the text content and logical symbols contained in the graphics.

[0012] The method for extracting the content of the error prevention acceptance card and generating a fixed-format error prevention logic formula is as follows: parse the error prevention acceptance card and extract key information, including the acceptance object and participation conditions. Intelligently decompose the locking logic with the participation conditions as the object and combine them to obtain the error prevention logic formula corresponding to each acceptance object.

[0013] In step S1, the key graphic information includes basic graphic elements and their attributes.

[0014] In step S1, set relation algorithms and topological relation algorithms are used to calculate the geometric relationships between graphics.

[0015] In step S1, the legality of the generated fixed-format error prevention logic formula is verified and corrected using the error prevention rule base information.

[0016] In step S2, the method for generating an operation ticket covering full acceptance in both forward and reverse directions based on the error prevention logic formula is as follows: taking intervals as units, analyze each conditional participant in each error prevention logic formula in each interval, set a verification step for each conditional participant that does not meet the condition to form a reverse acceptance step, set a verification step for each conditional participant that meets the condition to form a forward acceptance step, and form an operation ticket covering full acceptance in both forward and reverse directions based on the reverse acceptance step and the forward acceptance step.

[0017] Each of the aforementioned acceptance steps includes a description object, description content, judgment symbol, and execution value. The types of the acceptance steps include remote signaling inspection, telemetry inspection, remote signaling simulation, telemetry simulation, and remote control issuance.

[0018] In step S3, the large text matching model is a RoBERTa pre-trained language model.

[0019] In step S4, the method for self-checking the initial version of the substation anti-misoperation dynamic verification test script is as follows: if the 103 communication text is imported in step S3, then determine whether the associated path type is consistent with the type required by the acceptance step in the operation ticket based on the function group number and item number; if the SCD configuration file is imported in step S3, then determine whether the functional constraint type in the associated path is consistent with the type of the object required by the acceptance step in the operation ticket.

[0020] This invention also provides a test script intelligent generation system for implementing the above-mentioned substation anti-misoperation dynamic verification test script intelligent generation method, the scheme of which is as follows:

[0021] The intelligent test script generation system for substation anti-misoperation dynamic verification includes:

[0022] The anti-misoperation interlocking logic parsing module is used to import the substation interlocking logic diagram or anti-misoperation acceptance card, extract the content of the substation interlocking logic diagram or anti-misoperation acceptance card, and generate anti-misoperation logic formulas in a fixed format.

[0023] An automatic error prevention ticket generation module is used to generate operation tickets covering full acceptance in both forward and reverse directions based on the error prevention logic formula.

[0024] The automatic association module for remote signals is used to import 103 communication text, 104 point table or SCD configuration file, and use the text matching large model to find the path or point number that matches each described object in the operation ticket in the 103 communication text, 104 point table or SCD configuration file and associate it, thereby associating the path or point number to the operation ticket to generate the initial version of the substation anti-misoperation dynamic verification test script.

[0025] The anti-misoperation verification script self-verification module is used to perform self-verification on the initial version of the substation anti-misoperation dynamic verification test script, and to process the abnormalities detected by the self-verification, so as to obtain an accurate substation anti-misoperation dynamic verification test script.

[0026] The anti-misoperation interlocking logic parsing module, the anti-misoperation ticket automatic generation module, the three-remote signal automatic association module, and the anti-misoperation verification script self-verification module are connected in sequence.

[0027] Due to the application of the above technical solutions, the present invention has the following advantages compared with the prior art: the present invention solves the problem of lack of rapid and accurate generation and improvement of test scripts for dynamic verification of substation anti-misoperation, and can ensure the quality of verification and improve the efficiency of verification. Attached Figure Description

[0028] Appendix Figure 1 This is a flowchart illustrating the intelligent generation method for test scripts of the substation anti-misoperation dynamic verification method of the present invention. Detailed Implementation

[0029] The present invention will be further described below with reference to the embodiments shown in the accompanying drawings.

[0030] Example 1: As shown in the attached document Figure 1 As shown, a method for intelligently generating test scripts for dynamic verification of substation error prevention includes the following steps:

[0031] Step S1: Obtain the substation interlocking logic diagram or anti-misoperation acceptance card, extract the contents of the substation interlocking logic diagram or anti-misoperation acceptance card, and generate anti-misoperation logic formulas in a fixed format.

[0032] In this step, the error prevention logic formula includes the acceptance object, conditional parameters, related symbols for the conditional parameters (including symbols such as "<", ">", and "="), and the overall formula logic symbols (including logic symbols such as "&", "|", and "!"). The error prevention logic formula is stored in units of intervals. An interval refers to a complete and independently operable combination of electrical equipment in a substation. Each interval includes multiple objects, each with its own error prevention rules.

[0033] Example of error-proofing logic formula:

[0034] 25001CTRL{sub-operation}:((2500=0) & (25007=0) & (25008=0) & (A phase has current <30) & (B phase has current <30) & (C phase has current <30))

[0035] 25001CTRL{Combined Operation}:((2500=0) & (25007=0) & (25008=0) & (Phase A has current <30) & (Phase B has current <30) & (Phase C has current <30))

[0036] The part before the colon (:) is the object to be accepted, and the part after the colon (:) is the conditional participation quantity and related symbols.

[0037] One interval corresponds to a set (multiple) of error-prevention logic formulas.

[0038] The method for extracting the content of the substation interlocking logic diagram and generating a fixed-format anti-error logic formula is as follows: After reading the substation interlocking logic diagram in DWG or DXF format, the graphic data in the substation interlocking logic diagram is parsed to extract key graphic information (key graphic information includes basic graphic elements and their attributes, i.e., graphic information includes text content and basic graphic elements such as lines, arcs, and polygons, as well as their position coordinates, size, and other attributes). Based on the key graphic information, the geometric relationships between graphics are calculated using set relation algorithms and topological relation algorithms (first calculate the intersection points and distances between graphics, then calculate the geometric relationships between graphics, including intersection, containment, and adjacency). Then, the logical relationships between graphics are combined to obtain the logical relationships between graphics (first calculate the intersection points and distances between graphics, then calculate the geometric relationships between graphics, including intersection, containment, and adjacency). Finally, a fixed-format anti-error logic formula is generated based on the text content and logical symbols contained in the graphics.

[0039] The method for extracting the content of the error prevention acceptance card and generating a fixed-format error prevention logic formula is as follows: After reading the approved error prevention acceptance card (in table format such as xlsx), the error prevention acceptance card is parsed and key information such as acceptance objects and participation conditions is extracted. For the closed logic with participation conditions as objects, that is, one condition corresponds to multiple acceptance objects, intelligent decomposition is performed and combined to obtain the complete error prevention logic formula corresponding to each acceptance object.

[0040] After generating a fixed-format error-proofing logic formula, the validity of the generated formula is verified and corrected using a pre-built error-proofing rule base. Specifically, the validity of the error-proofing logic formula is verified and corrected by comparing it with the generated error-proofing logic rules using the built-in error-proofing rule base.

[0041] Step S2: Generate operation tickets covering full acceptance in both forward and reverse directions based on the error prevention logic formula. That is, generate operation tickets covering full acceptance in both forward and reverse directions by parsing the error prevention logic formula.

[0042] The method for generating operation tickets covering full acceptance in both forward and reverse directions based on error prevention logic formulas is as follows: taking intervals as units, each conditional component in each error prevention logic formula in each interval is analyzed. For each conditional component, a verification step is set to form a reverse acceptance step if the condition is not met. For each conditional component, a verification step is set to form a forward acceptance step if the condition is met. Based on the reverse acceptance step and the forward acceptance step, an operation ticket covering full acceptance in both forward and reverse directions is generated, which includes multiple acceptance steps. Thus, each operation ticket covers full acceptance in both forward and reverse directions.

[0043] Referring to the steps of manual operation for error prevention acceptance, the types of individual acceptance steps in the operation ticket include remote signaling inspection, remote measurement inspection, remote signaling simulation, remote measurement simulation, and remote control issuance.

[0044] Remote signaling check: Based on the associated signal path, check whether the returned remote signaling value (separation or combination) is correct;

[0045] Telemetry check: Based on the associated signal path, check whether the returned telemetry values ​​meet the requirements (greater than or less than a certain value);

[0046] Remote signaling simulation: Send set values ​​according to the associated signal path;

[0047] Telemetry simulation: Send set values ​​based on the associated signal path;

[0048] Remote control dispatch: Dispatches a specified value operation (remote split or remote merge) based on the associated signal path.

[0049] Each acceptance step includes a description, a judgment symbol, and an execution value.

[0050] Description: A detailed description of the signal;

[0051] Judgment symbols: For remote signaling, remote control uses the equal sign, and for telemetry, it uses greater than, less than, etc.

[0052] Execution value: The execution value of this step. For remote signaling and remote control, it is either separate or combined; for telemetry, it is a specific numerical value.

[0053] Step S3: Import the 103 communication text, 104 point table, or SCD configuration file. Use the text matching model to find the path or point number that matches each described object in the operation ticket in the 103 communication text, 104 point table, or SCD configuration file and associate them. This will associate the unique path or point number of the three remote objects in the substation with the operation ticket and generate the initial version of the substation anti-misoperation dynamic verification test script.

[0054] IEC 103 Communication Text: IEC 103 communication text is a file containing unique identification information for each object in a substation transmitted using the IEC 103 protocol. The IEC 103 protocol is one of the widely used international standard protocols in the field of power automation. It is a dedicated communication protocol based on the IEC 60870-5 standard system. In the field of power system automation, it is mainly used for data interaction between protection devices and station control equipment layers (such as measurement and control units and background monitoring systems) in power systems. It can also be used in substation automation, power plant control systems, and other scenarios. Through IEC 103 communication text, the unique identification information of remote signaling, telemetry, and remote control objects at the station control layer can be accurately obtained, distinguishing different equipment objects through this unique identification information. In this invention, it is used for measurement and control error prevention verification and monitoring background error prevention verification in non-61850 substations (i.e., conventional substations).

[0055] 104-Point Table: In the field of power automation, the 104-point table is a lookup table used to define the data point information exchanged between the master station (such as a dispatch center or monitoring system) and the slave station (such as a substation or plant equipment) when conducting data communication based on the IEC 60870-5-104 protocol (hereinafter referred to as the IEC104 protocol). It is the core configuration file for 104 protocol communication, equivalent to a "data dictionary" for both parties, used to ensure that the meaning of the data is correctly interpreted. In this invention, it is used for monitoring background error prevention verification and error prevention host interlocking logic verification.

[0056] SCD Configuration File: In the field of smart substations, the SCD configuration file is the core configuration file. Based on the IEC 61850 standard, it fully describes the secondary system structure, equipment model, communication configuration, and signal correlation of the entire substation, essentially serving as a "digital blueprint" for the smart substation. Through the SCD configuration file, unique identification information of remote signaling, telemetry, and remote control objects at the station control layer can be obtained. In this invention, it is used for the measurement and control error prevention verification and monitoring backend error prevention verification of 61850 substations (i.e., smart substations).

[0057] The large-scale text matching model used in this step employs the RoBERTa pre-trained language model (a popular model in current NLP research and applications, widely used in text classification, question answering systems, machine translation, and other tasks). A dataset is formed by collecting a certain number of correctly associated operation tickets. Based on a Transformer encoder, it utilizes a self-attention mechanism to capture long-distance dependencies in the text, and parallel computation improves training speed. It can automatically learn the associations between different positions in the text and understand semantic structure. The pre-training of the large-scale text matching model is completed by adjusting the model parameters. In this step, according to business requirements, 103 communication texts, 104 point tables, or SCD configuration files are imported. The operation ticket content is parsed, and the text description of each acceptance step is read. Based on the pre-trained large-scale text matching model, the best matching signal is automatically found from the imported configuration files, and the unique path or point number of the object is automatically associated with the operation ticket.

[0058] Step S4: If the 103 communication text or SCD configuration file is imported in step S3, perform a self-check on the initial version of the substation anti-misoperation dynamic verification test script, handle the abnormalities detected by the self-check, and thus obtain an accurate substation anti-misoperation dynamic verification test script.

[0059] After reading the type of acceptance steps in the operation ticket (remote signaling, telemetry, or remote control), the method for self-checking the initial version of the substation anti-misoperation dynamic verification test script is as follows: If the 103 communication text is imported in step S3, then determine whether the associated path type is consistent with the type required by the acceptance steps in the operation ticket based on the function group number and item number; if the SCD configuration file is imported in step S3, then determine whether the functional constraint type in the associated path is consistent with the type of object required by the acceptance steps in the operation ticket. If the above consistency verification passes, the self-check of the initial version of the substation anti-misoperation dynamic verification test script passes.

[0060] The intelligent generation system for test scripts of substation anti-misoperation dynamic verification, used to implement the above-mentioned method for dynamic verification of substation anti-misoperation, includes an anti-misoperation interlocking logic parsing module, an anti-misoperation ticket automatic generation module, a three-remote signal automatic association module, and an anti-misoperation verification script self-verification module connected in sequence. The system comprises the following modules: The anti-misoperation interlocking logic parsing module imports the substation interlocking logic diagram or anti-misoperation acceptance card, extracts its content, and generates a fixed-format anti-misoperation logic formula; the anti-misoperation operation ticket automatic generation module generates operation tickets covering full forward and reverse acceptance based on the anti-misoperation logic formula; the three-remote signal automatic association module imports 103 communication text, 104 point table, or SCD configuration file, searches for paths or point numbers matching the description objects in the operation ticket using a large text matching model, and associates these paths or point numbers with the operation ticket to generate an initial version of the substation anti-misoperation dynamic verification test script; and the anti-misoperation verification script self-checking module performs a self-check on the initial version of the substation anti-misoperation dynamic verification test script, handles any anomalies detected, and obtains an accurate substation anti-misoperation dynamic verification test script. The specific implementation of each module's function is as described in the aforementioned method.

[0061] This invention automatically generates dynamic test scripts containing forward and reverse anti-misoperation verification content based on the substation anti-misoperation interlocking logic diagram or the approved anti-misoperation acceptance card. This reduces the manual preparation work in the early stage of substation anti-misoperation verification and is suitable for scenarios where the correctness of anti-misoperation interlocking logic in newly built or operating substations is verified using an automatic verification method. It has the advantages of high intelligence, fast speed, good accuracy and wide application, and solves the problem of lacking a fast and accurate generation of complete test scripts for dynamic verification of substation anti-misoperation.

[0062] The above embodiments are only for illustrating the technical concept and features of the present invention, and are intended to enable those skilled in the art to understand the content of the present invention and implement it accordingly. They should not be construed as limiting the scope of protection of the present invention. All equivalent changes or modifications made in accordance with the spirit and essence of the present invention should be covered within the scope of protection of the present invention.

Claims

1. A method for intelligently generating test scripts for dynamic verification of substation error prevention, characterized in that: Includes the following steps: Step S1: Obtain the substation interlocking logic diagram or anti-misoperation acceptance card, extract the contents of the substation interlocking logic diagram or anti-misoperation acceptance card, and generate anti-misoperation logic formulas in a fixed format; Step S2: Generate an operation ticket covering full acceptance in both forward and reverse directions based on the error prevention logic formula; Step S3: Import the 103 communication text, 104 point table or SCD configuration file. Use the text matching model to find the path or point number that matches each described object in the operation ticket in the 103 communication text, 104 point table or SCD configuration file and associate them. In this way, the path or point number is associated with the operation ticket to generate the initial version of the substation anti-misoperation dynamic verification test script. Step S4: If the 103 communication text or the SCD configuration file is imported in step S3, perform a self-check on the initial version of the substation anti-misoperation dynamic verification test script, process the abnormalities detected by the self-check, and thus obtain an accurate substation anti-misoperation dynamic verification test script. In step S1, the error prevention logic formula includes the acceptance object, conditional parameters, related symbols of the conditional parameters, and the overall formula logic symbols. In step S1, the method for extracting the content of the substation interlocking logic diagram and generating a fixed-format anti-error logic formula is as follows: parse the graphic data in the substation interlocking logic diagram, extract key graphic information, calculate the geometric relationship between the graphics based on the key graphic information, and then combine them to obtain the logical relationship between the graphics. Finally, generate the fixed-format anti-error logic formula based on the text content and logical symbols contained in the graphics. The method for extracting the content of the anti-mistake acceptance card and generating a fixed-format anti-mistake logic formula is as follows: parse the anti-mistake acceptance card and extract key information, including the acceptance object and participation conditions. Intelligently decompose the locking logic with the participation conditions as the object and combine them to obtain the anti-mistake logic formula corresponding to each acceptance object. In step S2, the method for generating an operation ticket covering full acceptance in both forward and reverse directions based on the error prevention logic formula is as follows: taking intervals as units, analyze each conditional participant in each error prevention logic formula in each interval, set a verification step for each conditional participant that does not meet the condition to form a reverse acceptance step, set a verification step for each conditional participant that meets the condition to form a forward acceptance step, and form an operation ticket covering full acceptance in both forward and reverse directions based on the reverse acceptance step and the forward acceptance step.

2. The intelligent generation method for test scripts of substation anti-misoperation dynamic verification according to claim 1, characterized in that: In step S1, the key graphic information includes basic graphic elements and their attributes.

3. The intelligent generation method for test scripts of substation anti-misoperation dynamic verification according to claim 1, characterized in that: In step S1, set relation algorithms and topological relation algorithms are used to calculate the geometric relationships between graphics.

4. The intelligent generation method for test scripts of substation anti-misoperation dynamic verification according to any one of claims 1 to 3, characterized in that: In step S1, the legality of the generated fixed-format error prevention logic formula is verified and corrected using the error prevention rule base information.

5. The intelligent generation method for test scripts of substation anti-misoperation dynamic verification according to claim 1, characterized in that: Each of the aforementioned acceptance steps includes a description object, description content, judgment symbol, and execution value. The types of the acceptance steps include remote signaling inspection, telemetry inspection, remote signaling simulation, telemetry simulation, and remote control issuance.

6. The intelligent generation method for test scripts of substation anti-misoperation dynamic verification according to claim 1, characterized in that: In step S3, the large text matching model is a RoBERTa pre-trained language model.

7. The intelligent generation method for test scripts of substation anti-misoperation dynamic verification according to claim 5, characterized in that: In step S4, the method for self-checking the initial version of the substation anti-misoperation dynamic verification test script is as follows: if the 103 communication text is imported in step S3, then determine whether the associated path type is consistent with the type required by the acceptance step in the operation ticket based on the function group number and the item number. If the SCD configuration file is imported in step S3, it is determined whether the type of functional constraint in the associated path is consistent with the type of object required for the acceptance step in the operation ticket.

8. A test script intelligent generation system for dynamic verification of substation anti-misoperation, used to implement the test script intelligent generation method for dynamic verification of substation anti-misoperation as described in any one of claims 1 to 7, characterized in that: The intelligent test script generation system for substation anti-misoperation dynamic verification includes: The anti-misoperation interlocking logic parsing module is used to import the substation interlocking logic diagram or anti-misoperation acceptance card, extract the content of the substation interlocking logic diagram or anti-misoperation acceptance card, and generate anti-misoperation logic formulas in a fixed format. An automatic error prevention ticket generation module is used to generate operation tickets covering full acceptance in both forward and reverse directions based on the error prevention logic formula. The automatic association module for remote signals is used to import 103 communication text, 104 point table or SCD configuration file, and use the text matching large model to find the path or point number that matches each described object in the operation ticket in the 103 communication text, 104 point table or SCD configuration file and associate it, thereby associating the path or point number to the operation ticket to generate the initial version of the substation anti-misoperation dynamic verification test script. The anti-misoperation verification script self-verification module is used to perform self-verification on the initial version of the substation anti-misoperation dynamic verification test script, and to process the abnormalities detected by the self-verification, so as to obtain an accurate substation anti-misoperation dynamic verification test script. The anti-misoperation interlocking logic parsing module, the anti-misoperation ticket automatic generation module, the three-remote signal automatic association module, and the anti-misoperation verification script self-verification module are connected in sequence.

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