A method for automatically generating and checking monitoring information of intelligent substation equipment

Abstract

The application relates to the technical field of intelligent transformer substations, and discloses a kind of intelligent transformer substation equipment monitoring information automatic generation and verification method, comprising: step one, staff collects and enters intelligent transformer substation equipment monitoring information specification through man-machine interaction module comprehensively;Step two, import intelligent transformer substation configuration file;Step three, traverse all equipment of transformer substation;Step four, parse device device information file through detection module;Step five, read the monitoring information of all equipment in the station;Step six, traverse the monitoring information in the remote signaling information table, the remote measurement information table, the remote control information table and the remote adjustment information table of the station monitoring information;Step seven, upload data comparison module through information detection electric appliance data, the application updates data collection module through information specification, and network connection module real-time synchronization data, so that the database can quickly adapt to the iterative change of equipment type, solves the problem that the database frequently fails due to equipment update in the traditional method.

Description

Technical Field

[0001] This invention relates to the field of intelligent substation technology, specifically to a method for automatically generating and verifying monitoring information of intelligent substation equipment. Background Technology

[0002] Intelligent substation equipment monitoring information refers to the data set formed by real-time collection, transmission, and processing of the operating status, parameters, and related environmental information of primary and secondary equipment within a substation through various sensors, intelligent terminals, and communication networks. This information is the foundation for the intelligent operation, maintenance, and management of substations, providing maintenance personnel with a comprehensive view of equipment operation and supporting key tasks such as fault diagnosis and condition assessment.

[0003] The monitoring information of a smart substation needs to go through a complete process of "collection-transmission-processing-presentation-application". It relies on digital technology to achieve efficient flow. In short, the monitoring information of smart substation equipment is a "digital mirror of equipment status". Its comprehensiveness, real-time performance and accuracy directly determine the level of intelligence of the substation.

[0004] For example, application number CN201510093587.X discloses a method for automatically generating a power equipment monitoring information table; The generation of existing intelligent substation monitoring information generally relies on manual configuration or fixed rule templates, which often leads to frequent database failures due to rapid iteration of equipment types and a lack of cross-interval correlation verification capabilities. Manually updating the database is not only inefficient but also prone to errors, greatly affecting the accuracy of monitoring information and seriously impacting the safe operation of the substation.

[0005] To address the aforementioned issues, a method for automatically generating and verifying monitoring information for intelligent substation equipment is proposed. Summary of the Invention

[0006] The purpose of this invention is to provide an automatic generation and verification method for monitoring information of intelligent substation equipment. By using this device, the problem of existing intelligent substation monitoring information generation generally relying on manual configuration or fixed rule templates is solved. This often leads to frequent database failures due to rapid iteration of equipment types and a lack of cross-interval correlation verification capabilities. Manually updating the database is not only inefficient but also prone to errors, greatly affecting the accuracy of monitoring information and seriously impacting the safe operation of the substation.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a method for automatically generating and verifying monitoring information of intelligent substation equipment, comprising the following steps: Step 1: Staff members collect and input the intelligent substation equipment monitoring information specifications through the human-computer interaction module. The data inside the data collection module is updated through the information specifications. The data is classified according to region and voltage level. A typical monitoring information database is established by equipment, which is divided into primary equipment, secondary equipment and common equipment. Step 2: Import the intelligent substation configuration file. Obtain relevant data from the configuration file. Retrieve the equipment names of all equipment in the entire substation according to three dimensions: voltage level, bay attribute, and equipment type. Save the relevant data through the data protection module. Step 3: Traverse all equipment in the substation and search for matching equipment names in the typical monitoring information database. When a matching equipment name is found, automatically map the signal type, signal name, alarm level, and station information description from the typical monitoring information database table to the equipment monitoring information table. Step 4: Parse the equipment information file through the detection module. The information file usually contains detailed technical parameters, signal descriptions and other information of the equipment. Obtain the description under the leaf node in the equipment information file and map the required description to the corresponding information in the design drawing of the equipment monitoring information table. Step 5: Read the monitoring information of all devices in the entire station, classify them according to the signal type attributes of each monitoring information, and automatically combine them to generate the remote signaling information table, telemetry information table, remote control information table, and remote adjustment information table of the entire station monitoring information; Step 6: Traverse the monitoring information in the remote signaling information table, telemetry information table, remote control information table, and remote adjustment information table of the entire station, and check whether the monitoring information content is complete for each item; Step 7: Upload electrical data to the data comparison module through information detection. The data comparison module compares the data with the data collected by the data detection module to ensure that staff can quickly know the specific status of the relevant devices.

[0008] Preferably, in step one, the primary equipment includes transformers and circuit breakers, the secondary equipment includes protection devices and monitoring and control devices, and the public equipment covers the station power system and DC system. Equipment with different attributes has unique typical monitoring information. For example, the monitoring information of transformer oil temperature and winding temperature belongs to the category of primary equipment; the action signals and alarm information of protection devices belong to the monitoring content of secondary equipment.

[0009] Preferably, the voltage level classification in step two includes 220kV, 110kV, and 35kV; the bay attribute classification includes main transformer body, main transformer high-voltage side, main transformer medium-voltage side, main transformer low-voltage side, line bay, bus tie bay, section bay, busbar bay, capacitor bay, reactor bay, station transformer bay, arc suppression coil, low current grounding, station service power, DC, and common bay; the equipment type classification includes gas-insulated metal-enclosed switchgear, transformer protection, circuit breaker, disconnector, line protection, busbar protection, stabilization and control device, and DC system.

[0010] Preferably, the signal type, signal name, alarm level, and station information description in step three can be read by the information reading module and the data inside the data collection module can be updated by the network connection module.

[0011] Preferably, the parsing of device information in step four is achieved jointly by the data verification module and the device parsing module, and by automatically combining all monitoring information entries under the device according to the device classification attributes and naming rules, the corresponding station information of the device is generated.

[0012] Preferably, the four tables generated in step five are sorted according to the correlation between voltage level, interval, and equipment. That is, the first monitoring information in each table is the first monitoring information of the first equipment in the first interval of the first voltage level, and so on, so as to achieve an orderly arrangement of the monitoring information tables. When the monitoring information tables change, the relevant parameters are adjusted through the parameter adjustment module.

[0013] Preferably, the information content in step six includes: voltage level, corresponding bay, equipment name, alarm level, dispatch terminal information description, station terminal corresponding information, and design drawing corresponding information.

[0014] Preferably, the data detection module in step seven includes a visual detection module and a temperature detection module.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. This application updates the data collection module through information specifications and synchronizes data in real time through the network connection module, enabling the typical monitoring information database to quickly adapt to iterative changes in equipment types. This solves the problem of frequent database failures due to equipment updates in traditional methods. At the same time, problems found during the verification process are corrected and stored in the data collection module, forming a closed-loop optimization and continuously improving the integrity and applicability of the database.

[0016] 2. The monitoring information table generated by this application is arranged in an orderly manner according to voltage level, bay, and equipment, which facilitates quick query and management by staff. At the same time, the clear signal classification, alarm level, and corresponding information in the design drawings provide intuitive and comprehensive reference for maintenance personnel in fault diagnosis, status assessment, and other tasks, thereby improving the level of intelligent management and operation and maintenance efficiency of substations.

[0017] 3. Not only can it perform line-by-line checks on the integrity of monitoring information to ensure the inclusion of key information such as voltage level and corresponding bay, but it also has cross-bay correlation verification capabilities. It can automatically correlate signals from related equipment and detect logical consistency. For example, it can detect issues such as missing correlation between protection device action signals and corresponding circuit breaker trip signals. In addition, through the cooperation of data comparison modules and vision and temperature detection modules, it can quickly identify abnormal signal thresholds and other situations, promptly alerting staff to take action and ensuring the safe operation of the substation. Attached Figure Description Figure 1 This is a schematic diagram of the overall steps of the present invention; Figure 2 This is a flowchart illustrating the overall framework of the present invention; Figure 3 This is a flowchart of the information reading module of the present invention; Figure 4 This is a schematic diagram of the data detection module of the present invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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 are within the scope of protection of the present invention.

[0019] To further understand the content of this invention, a detailed description of the invention will be provided in conjunction with the accompanying drawings.

[0020] Combination Figures 1-3 A method for automatically generating and verifying monitoring information of intelligent substation equipment, comprising the following steps: Step 1: Staff members collect and input the intelligent substation equipment monitoring information specifications through the human-computer interaction module. The data inside the data collection module is updated through the information specifications. The data is classified according to region and voltage level. A typical monitoring information database is established by equipment, which is divided into primary equipment, secondary equipment and common equipment. Step 2: Import the intelligent substation configuration file. Obtain relevant data from the configuration file. Retrieve the equipment names of all equipment in the entire substation according to three dimensions: voltage level, bay attribute, and equipment type. Save the relevant data through the data protection module. Step 3: Traverse all equipment in the substation and search for matching equipment names in the typical monitoring information database. When a matching equipment name is found, automatically map the signal type, signal name, alarm level, and station information description from the typical monitoring information database table to the equipment monitoring information table. Step 4: Parse the equipment information file through the detection module. The information file usually contains detailed technical parameters, signal descriptions and other information of the equipment. Obtain the description under the leaf node in the equipment information file and map the required description to the corresponding information in the design drawing of the equipment monitoring information table. Step 5: Read the monitoring information of all devices in the entire station, classify them according to the signal type attributes of each monitoring information, and automatically combine them to generate the remote signaling information table, telemetry information table, remote control information table, and remote adjustment information table of the entire station monitoring information; Step 6: Traverse the monitoring information in the remote signaling information table, telemetry information table, remote control information table, and remote adjustment information table of the entire station, and check whether the monitoring information content is complete for each item; Step 7: Upload electrical data to the data comparison module through information detection. The data comparison module compares the data with the data collected by the data detection module to ensure that staff can quickly know the specific status of the relevant devices.

[0021] In step one, primary equipment includes transformers and circuit breakers, secondary equipment includes protection devices and monitoring and control devices, and public equipment covers station power systems and DC systems. Equipment with different attributes has unique typical monitoring information. For example, monitoring information such as transformer oil temperature and winding temperature belongs to the category of primary equipment; while the action signals and alarm information of protection devices belong to the monitoring content of secondary equipment.

[0022] The voltage level classification in Step 2 includes 220kV, 110kV, and 35kV; the bay attribute classification includes main transformer body, main transformer high-voltage side, main transformer medium-voltage side, main transformer low-voltage side, line bay, bus tie bay, section bay, busbar bay, capacitor bay, reactor bay, station transformer bay, arc suppression coil, low current grounding, station service power, DC, and common bay; the equipment type classification includes gas-insulated metal-enclosed switchgear, transformer protection, circuit breaker, disconnector, line protection, busbar protection, stabilization and control device, and DC system.

[0023] The signal type, signal name, alarm level, and station information description in step three can be read through the information reading module, and the data inside the data collection module can be updated through the network connection module.

[0024] The parsing of device information in step four is achieved jointly by the data verification module and the device parsing module. Furthermore, by following the device classification attributes, all monitoring information entries under the device are automatically combined according to the naming rules to generate the corresponding station-side information for the device.

[0025] In step five, the four tables generated from the monitoring information are sorted according to the correlation between voltage level, interval, and equipment. That is, the first monitoring information in each table is the first monitoring information of the first equipment in the first interval of the first voltage level, and so on, so as to achieve an orderly arrangement of the monitoring information tables. When the monitoring information tables change, the relevant parameters are adjusted through the parameter adjustment module.

[0026] The information in step six includes: voltage level, associated bay, equipment name, alarm classification, dispatch terminal information description, station terminal corresponding information, and design drawing corresponding information.

[0027] The data detection module in step seven includes a visual detection module and a temperature detection module.

[0028] The present invention will be further described below with reference to embodiments.

[0029] Example 1: For newly built line bays in 220kV smart substations, including GIS circuit breakers and line protection devices, monitoring information needs to be automatically generated and verified.

[0030] Staff use the human-machine interface module to match the "20kV GIS circuit breaker" from the data collection module, acquiring remote signaling signals (open position, closed position, low SF6 pressure alarm, etc.) and telemetry signals (contact temperature, SF6 gas pressure). The "open position" is marked as a position signal, and the alarm level is "change". Information generation process: Dispatch terminal information description (primary equipment): "220kV#2 line circuit breaker tripping position" (position signal) "220kV#2 line circuit breaker SF6 low pressure alarm" (non-position signal). Import the circuit breaker device SCD file, extract the corresponding information from the design drawings: "SF6 pressure below 0.5MPa triggers alarm", and generate the corresponding information at the station: "220kV#2 line circuit breaker SF6 low pressure alarm (design drawing corresponding: SF6 pressure below 0.5MPa triggers alarm)". Classification and point number allocation: Remote signaling information table sorting: Under the 220kV voltage level - #2 line bay - GIS circuit breaker item, the point number allocation is as follows: "Open position" is assigned as point number 1 for position signal, and "SF6 low pressure alarm" is assigned as point number 1001 for non-position signal. Verification result: The logic check passed and no signal conflict was found. Integrity check: the "closing coil current" telemetry signal was found to be missing. The system prompted "220kV#2 line circuit breaker is missing closing coil current telemetry signal, please supplement it". The relevant data was transmitted to the data protection module through the data comparison module and then to the data collection module through the network connection module.

[0031] Example 2: Upgrading the low-voltage side protection device of the main transformer in a 110kV substation requires updating its monitoring information and verifying its correlation with the main transformer's signals. Staff members use the human-computer interaction module to match the "110kV main transformer low-voltage side protection device" from the data collection module and obtain remote signaling signals (overcurrent protection action, gas protection action, device abnormality alarm), among which the "overcurrent protection action" alarm is classified as "accident".

[0032] Information generation process: Dispatch terminal information description (secondary equipment): "Overcurrent protection action of the low-voltage side bay protection device of 110kV#1 main transformer". Parse the protection device CID file, extract the corresponding information "overcurrent stage I action output" from the design drawings, and generate the corresponding information at the station: "Overcurrent protection action of the low-voltage side bay protection device of 110kV#1 main transformer (corresponding to the design drawings: overcurrent stage I action output)".

[0033] Cross-interval verification: The system automatically correlated the signals of the #1 main transformer and found that the "overcurrent protection action" signal was not correlated with the "main transformer low-voltage side circuit breaker trip" signal, triggering an alarm: "The 110kV #1 main transformer low-voltage side overcurrent protection action lacks a corresponding circuit breaker trip signal correlation. Please check." Closed-loop optimization: After the maintenance personnel supplement the correlation, the system stores the correction record in the data collection module.

[0034] Example 3: For the expansion of a 220kV substation to a 35kV capacitor bay (including 3 sets of capacitors), it is necessary to generate monitoring information for 3 sets of equipment in batches and complete consistency verification. Batch generation logic Staff members use the human-computer interaction module to match the "35kV capacitor bank" template from the data collection module, which automatically copies and generates monitoring information for 3 sets of equipment (each set contains 28 signals). Dispatch terminal information description (primary equipment): "35kV #1 capacitor bank current exceeds limit", "35kV #2 capacitor bank fuse blown alarm"; Sorting and point number allocation: The telemetry information table is arranged in the order of "#1 capacitor group - #2 capacitor group - #3 capacitor group"; the point numbers are continuously allocated: the position signal points of #1 group are numbered 1-5, the position signal points of #2 group are numbered 6-10, and the non-position signals are incremented starting from 1001. During the consistency check, the system detected that the telemetry signal threshold (20V) for the "unbalanced voltage" of capacitor bank #3 was inconsistent with that of banks #1 and #2 (15V), and issued an alarm: "The unbalanced voltage threshold of capacitor bank #3 of 35kV differs from that of other banks in the same interval by more than 30%. Please confirm whether it is a configuration error." After verification and correction, the monitoring information of the three capacitor banks was completed.

[0035] In summary, specifically as follows: Figures 1-4 As shown, the automatic generation and verification method for intelligent substation equipment monitoring information proposed in this invention effectively solves the problems of easy database failure, insufficient cross-interval correlation verification capability, low efficiency and easy error in traditional manual configuration or fixed template methods by establishing a typical monitoring information database, classifying equipment in multiple dimensions, automatically mapping and generating monitoring information tables, and multi-module collaborative verification.

[0036] This method first constructs a typical monitoring information database based on region and voltage level, clearly classifying equipment into primary, secondary, and public equipment, providing a foundation for subsequent information generation. During information generation, by importing configuration files, equipment names are accurately obtained from three dimensions: voltage level, interval attribute, and equipment type. This information is then automatically mapped using the typical monitoring information database. Simultaneously, equipment information files are parsed to supplement corresponding information from design drawings. Finally, four ordered information tables—remote signaling, telemetry, remote control, and remote adjustment—are generated according to signal type, ensuring the systematic and organized nature of the information.

[0037] In the verification phase, by checking the completeness of each piece of information and comparing data using the data comparison module and the data detection module, not only can problems such as missing information and inconsistent thresholds be quickly identified, but cross-interval correlation verification can also be achieved, promptly alerting to anomalies. For example, in this embodiment, issues such as missing telemetry signals, insufficient signal correlation, and threshold differences were successfully detected, and system feedback facilitated problem-solving, forming a closed-loop optimization.

[0038] Furthermore, this method, through the collaborative work of various modules, achieves automatic updating and protection of monitoring information, improves the efficiency and accuracy of information generation, provides strong support for the safe and stable operation of intelligent substations, and significantly enhances the intelligent management level of substations. It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0039] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for automatically generating and verifying monitoring information of intelligent substation equipment, characterized in that: Includes the following steps: Step 1: Staff members collect and input the intelligent substation equipment monitoring information specifications through the human-computer interaction module. The data inside the data collection module is updated through the information specifications. The data is classified according to region and voltage level. A typical monitoring information database is established by equipment, which is divided into primary equipment, secondary equipment and common equipment. Step 2: Import the intelligent substation configuration file. Obtain relevant data from the configuration file. Retrieve the equipment names of all equipment in the entire substation according to three dimensions: voltage level, bay attribute, and equipment type. Save the relevant data through the data protection module. Step 3: Traverse all equipment in the substation and search for matching equipment names in the typical monitoring information database. When a matching equipment name is found, automatically map the signal type, signal name, alarm level, and station information description from the typical monitoring information database table to the equipment monitoring information table. Step 4: Parse the equipment information file through the detection module. The information file usually contains detailed technical parameters, signal descriptions and other information of the equipment. Obtain the description under the leaf node in the equipment information file and map the required description to the corresponding information in the design drawing of the equipment monitoring information table. Step 5: Read the monitoring information of all devices in the entire station, classify them according to the signal type attributes of each monitoring information, and automatically combine them to generate the remote signaling information table, telemetry information table, remote control information table, and remote adjustment information table of the entire station monitoring information; Step 6: Traverse the monitoring information in the remote signaling information table, telemetry information table, remote control information table, and remote adjustment information table of the entire station, and check whether the monitoring information content is complete for each item; Step 7: Upload electrical data to the data comparison module through information detection. The data comparison module compares the data with the data collected by the data detection module to ensure that staff can quickly know the specific status of the relevant devices.

2. The method for automatically generating and verifying monitoring information of intelligent substation equipment according to claim 1, characterized in that: In step one, primary equipment includes transformers and circuit breakers, secondary equipment includes protection devices and monitoring and control devices, and public equipment covers station power systems and DC systems. Equipment with different attributes has unique typical monitoring information. For example, monitoring information such as transformer oil temperature and winding temperature belongs to the category of primary equipment; while the action signals and alarm information of protection devices belong to the monitoring content of secondary equipment.

3. The method for automatically generating and verifying monitoring information of intelligent substation equipment according to claim 1, characterized in that: The voltage level classification in step two includes 220kV, 110kV, and 35kV; the bay attribute classification includes main transformer body, main transformer high-voltage side, main transformer medium-voltage side, main transformer low-voltage side, line bay, bus tie bay, section bay, busbar bay, capacitor bay, reactor bay, station transformer bay, arc suppression coil, low current grounding, station service power, DC, and common bay; the equipment type classification includes gas-insulated metal-enclosed switchgear, transformer protection, circuit breaker, disconnector, line protection, busbar protection, stabilization and control device, and DC system.

4. The method for automatically generating and verifying monitoring information of intelligent substation equipment according to claim 1, characterized in that: The signal type, signal name, alarm level, and station information description in step three can be read by the information reading module, and the data inside the data collection module can be updated by the network connection module.

5. The method for automatically generating and verifying monitoring information of intelligent substation equipment according to claim 1, characterized in that: The parsing of device information in step four is achieved jointly by the data verification module and the device parsing module. Furthermore, by following the device classification attributes, all monitoring information entries under the device are automatically combined according to the naming rules to generate the corresponding station-side information for the device.

6. The method for automatically generating and verifying monitoring information of intelligent substation equipment according to claim 1, characterized in that: In step five, the four tables generated from the monitoring information are sorted according to the correlation between voltage level, interval, and equipment. That is, the first monitoring information in each table is the first monitoring information of the first equipment in the first interval of the first voltage level, and so on, so as to achieve an orderly arrangement of the monitoring information tables. When the monitoring information tables change, the relevant parameters are adjusted through the parameter adjustment module.

7. The method for automatically generating and verifying monitoring information of intelligent substation equipment according to claim 1, characterized in that: The information in step six includes: voltage level, corresponding bay, equipment name, alarm level, dispatch terminal information description, station terminal corresponding information, and design drawing corresponding information.

8. The method for automatically generating and verifying monitoring information of intelligent substation equipment according to claim 1, characterized in that: The data detection module in step seven includes a visual detection module and a temperature detection module.

Images