Remote work whole process safety measure monitoring method and system

Abstract

The application discloses a kind of remote work whole process safety monitoring method and system.Method includes: obtaining total station system configuration description SCD file and secondary circuit model file from intelligent wave recorder, generate complete total station secondary circuit model;Receive work overhauling equipment information, determine work influence range based on the complete total station secondary circuit model, generate safety monitoring reference;Before and after work, call process layer section data file from intelligent wave recorder and obtain total call message from manufacturing message system MMS, obtain relevant pressure plate state, and compare with safety reference, if inconsistent, then alarm prompt;During work, generate visual monitoring picture based on safety monitoring reference, confirm the displacement information of pressure plate involved in safety reference based on intelligent wave recorder measuring point information and MMS displacement message and display and alarm prompt in picture.The technical scheme of the application enriches the work safety monitoring means, and effectively improves the operation and maintenance carrying capacity of the system.

Description

Technical Field

[0001] This invention belongs to the field of power system automation technology, specifically relating to a method and system for monitoring safety measures throughout the entire remote operation process. Background Technology

[0002] Smart substations transform secondary circuits from physical to virtual, rendering them physically invisible. Furthermore, the diverse types of voltage plates in smart substations pose challenges for maintenance personnel, significantly increasing the risks associated with maintenance operations. Therefore, effective monitoring of the implementation of safety measures (hereinafter referred to as safety measures) during operations and providing alarms for abnormal operations are crucial. Previously, safety measure monitoring was typically conducted locally, requiring additional maintenance personnel, and multiple sites might be operating simultaneously, resulting in high labor costs. Therefore, how to remotely monitor the implementation of safety measures at multiple sites simultaneously, thereby reducing labor costs, has become one of the key approaches to enriching the advanced functions of the secondary maintenance master station.

[0003] Secondary maintenance master stations typically only connect to bay-level equipment. However, safety measures implementation in smart substations often involve process laminate information. Therefore, filling this data gap is a crucial prerequisite for achieving remote monitoring of safety measures. Furthermore, previous monitoring of safety measures only occurred before and after operations, neglecting to monitor their status during the operation process. The complex circuit structure of smart substations introduces significant risks of operational errors during operations; therefore, real-time monitoring of safety measures during the operation process is necessary. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a method and system for monitoring safety measures throughout the entire remote operation process, which enriches the means of monitoring operational safety, effectively improves the system's operation and maintenance capacity, and reduces the labor costs of maintenance operations.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0006] According to the first aspect of this application, a method for monitoring safety measures throughout a remote operation is proposed, characterized by comprising:

[0007] Obtain the full-station system configuration description SCD file and secondary loop model file from the intelligent waveform recorder;

[0008] Generate a complete station secondary loop model based on the SCD file and the secondary loop model file;

[0009] Receive equipment maintenance information, determine the scope of impact of the operation based on the complete station secondary loop model, and generate safety monitoring benchmarks;

[0010] Before operation, the process layer cross-sectional data file is retrieved from the intelligent waveform recorder and the general call message is obtained from the manufacturing message system (MMS). The relevant pressure plate status is obtained based on the process layer cross-sectional data file and the MMS general call message, and compared with the safety measure benchmark. If they are inconsistent, an alarm is triggered.

[0011] During the operation, a visual monitoring screen is generated based on the safety monitoring benchmark. The pressure plate displacement information involved in the safety benchmark is confirmed based on the information sent by the intelligent waveform recorder measurement point and the MMS displacement message, and displayed and alarmed on the screen.

[0012] After the operation, the process layer cross-sectional data file is retrieved from the intelligent waveform recorder and the general call message is obtained from the manufacturing message system (MMS). The relevant pressure plate status is obtained based on the process layer cross-sectional data file and the MMS general call message, and compared with the safety measure benchmark. If they are inconsistent, an alarm is issued.

[0013] According to some embodiments, generating a complete full-site secondary loop model based on the SCD file and the secondary loop model file includes:

[0014] The SCD file is parsed to extract information about the spacer protection device;

[0015] The secondary loop model file is parsed to extract process-level related information, which includes: merging unit, intelligent terminal and virtual loop information;

[0016] Based on the information of the bay layer protection device and the information of the process layer, a complete secondary circuit model of the entire station is formed.

[0017] According to some embodiments, the system receives equipment maintenance information, determines the scope of the operation's impact based on the complete station secondary loop model, and generates a safety monitoring benchmark. Specifically:

[0018] The system receives information about equipment requiring maintenance and repair. Based on the complete station secondary circuit model, it obtains the logical link information of the bay layer protection devices associated with the maintenance equipment. Based on the logical link, it finds the bay layer and process layer devices with secondary connections to the maintenance protection devices through the external topology, thereby determining the scope of the operation. The system then combines the GOOSE receive / transmit pressure plates, functional pressure plates, and maintenance pressure plates found during the topology process in sequence to form a safety monitoring benchmark.

[0019] According to some embodiments, the relevant pressure plate status is obtained from the process layer cross-sectional data file and the MMS general call message, and compared with the safety measure benchmark. If they are inconsistent, an alarm is issued. Specifically:

[0020] Parse the process layer cross-sectional data file to obtain the real-time status of the GOOSE transmit / receive pressure plate in the process layer network;

[0021] Parse the MMS general call message to obtain the real-time status of each functional pressure plate and maintenance pressure plate in the interval layer network;

[0022] The real-time status of the GOOSE transmit / receive pressure plate, functional pressure plate, and maintenance pressure plate is compared with the safety measure benchmark; if they are inconsistent, an alarm is issued.

[0023] According to some embodiments, before operation, comparing the real-time status of the GOOSE receiving / transmitting pressure plate, functional pressure plate, and maintenance pressure plate with the safety measure benchmark specifically includes: checking whether the GOOSE receiving / transmitting pressure plate and functional pressure plate are deactivated, and whether the maintenance pressure plate is activated; after operation, comparing the real-time status of the GOOSE receiving / transmitting pressure plate, functional pressure plate, and maintenance pressure plate with the safety measure benchmark specifically includes: checking whether the GOOSE receiving / transmitting pressure plate and functional pressure plate are activated, and whether the maintenance pressure plate is deactivated.

[0024] According to some embodiments, during operation, a visual monitoring screen is generated based on the safety monitoring benchmark. The pressure plate displacement information involved in the safety benchmark is confirmed based on the information transmitted from the intelligent waveform recorder's measurement points and the MMS displacement message, and displayed on the screen along with alarm prompts. Specifically:

[0025] During the operation, an automatic mapping technology is used to generate visual monitoring images based on the safety monitoring benchmark;

[0026] Real-time monitoring of information transmitted from the measurement points of the intelligent waveform recorder, and analysis to obtain the displacement of the GOOSE transmit / receive pressure plate in the process layer;

[0027] Real-time monitoring of MMS change messages to obtain the change status of the interval layer functional pressure plate and maintenance pressure plate;

[0028] Based on the displacement status of the process layer GOOSE receiving / transmitting pressure plates and the displacement status of the interval layer functional pressure plates and maintenance pressure plates, confirm whether any pressure plates involved in the safety measures benchmark have been displaced. If so, display the pressure plate status on the screen in real time and issue an alarm prompt.

[0029] According to some embodiments, the real-time monitoring of the information transmitted by the intelligent waveform recorder and the analysis of the displacement of the GOOSE transmit / receive pressure plate at the process layer specifically involve:

[0030] The system monitors the string sent by the measurement point with the attribute name GseDigVal in the dsWarning dataset of the intelligent waveform recorder's own model in real time. It then parses and obtains the reference name and displacement value of the corresponding process layer device GOOSE measurement point, thereby monitoring the displacement of the process layer GOOSE receiving / transmitting pressure plate.

[0031] According to some embodiments, the method further includes: saving the monitoring record after the monitoring ends for historical tracing.

[0032] According to a second aspect of this application, a remote operation safety monitoring system is proposed, characterized in that it includes:

[0033] The whole station model generation unit is used to obtain the whole station system configuration description SCD file and secondary loop model file from the intelligent waveform recorder; and to generate a complete whole station secondary loop model based on the SCD file and secondary loop model file.

[0034] The safety monitoring benchmark generation unit is used to receive equipment maintenance information, determine the scope of operation impact based on the complete station secondary loop model, and generate safety monitoring benchmarks.

[0035] The pre-operation safety monitoring unit is used to retrieve process layer cross-sectional data files from the intelligent waveform recorder and obtain a general call message from the manufacturing message system (MMS) before operation; obtain the relevant pressure plate status based on the process layer cross-sectional data files and the MMS general call message, and compare it with the safety benchmark. If there is a discrepancy, an alarm is triggered.

[0036] The safety monitoring unit during operation is used to generate a visual monitoring screen based on the safety monitoring benchmark during operation, and to confirm the pressure plate displacement information involved in the safety benchmark based on the information sent by the intelligent waveform recorder measurement point and the MMS displacement message, and display and alarm prompts on the screen.

[0037] The post-operation safety monitoring unit is used to retrieve process layer cross-sectional data files from the intelligent waveform recorder and obtain general call messages from the Manufacturing Message System (MMS) after the operation; obtain the relevant pressure plate status based on the process layer cross-sectional data files and MMS general call messages, and compare it with the safety benchmark. If there is a discrepancy, an alarm is issued.

[0038] According to some embodiments, the system further includes a record storage unit for storing monitoring records after the monitoring ends for historical tracing.

[0039] According to a third aspect of this application, an electronic device is provided, comprising: a processor; and a memory storing computer instructions, which, when executed by the processor, cause the processor to perform the remote operation full-process safety monitoring method described above.

[0040] According to a fourth aspect of this application, a non-transient computer storage medium is proposed, characterized in that it stores a computer program, which, when executed by multiple processors, causes the processors to execute the remote operation full-process safety monitoring method described above.

[0041] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: The present invention fills the gap in the process layer data of the secondary operation and maintenance master station through real-time interaction with the intelligent waveform recorder, realizes remote monitoring of safety measures, and realizes full-process safety measures monitoring through safety measures status verification before and after operation and safety measures status monitoring during operation. At the same time, the system can monitor the operation tasks of multiple substations simultaneously, effectively reducing the labor cost of maintenance operations. Attached Figure Description

[0042] Figure 1 This is a schematic diagram of a remote operation safety monitoring method provided in an embodiment of the present invention;

[0043] Figure 2 This is a schematic diagram of another remote operation safety monitoring method provided in an embodiment of the present invention;

[0044] Figure 3 This is a schematic diagram of a remote operation safety monitoring system provided in an embodiment of the present invention;

[0045] Figure 4 This is a structural diagram of an electronic device provided by the present invention. Detailed Implementation

[0046] The present invention will now be further described with reference to the accompanying drawings.

[0047] With the release of the "Engineering Application Guide for Intelligent Waveform Recorders, Volume 2: Master-Slave Communication" (hereinafter referred to as the "Guide"), the method of uploading process-level information has been more clearly defined and constrained, making it possible to remotely monitor safety measures throughout the entire operation process. Based on this, this application provides a method for remotely monitoring safety measures throughout the entire operation process, such as... Figure 1 As shown, it includes the following steps:

[0048] S100: Obtain the full station system configuration description SCD file and secondary loop model file from the intelligent waveform recorder.

[0049] SCD configuration files are a file type defined by the IEC 61850 standard, used to describe information about all equipment in the entire substation. They include the substation primary system configuration (including primary and secondary equipment association information configuration), secondary equipment configuration (including signal descriptions and GOOSE signal connection configuration), and communication network and parameter configuration.

[0050] The structure of the secondary loop model file is shown in Table 1. Parsing this file can obtain information on the process layer devices, filling in the missing process layer devices when modeling the main station. At the same time, the file contains the secondary loop connection relationship and the pressure plate information in the GOOSE link. Combining the secondary loop connection relationship and the information on the bay layer and process layer devices, a complete station-wide secondary loop model can be formed.

[0051] Table 1. Structure of the secondary loop model file

[0052]

[0053]

[0054]

[0055] S200: Generate a complete full-site secondary loop model based on the SCD file and the secondary loop model file.

[0056] In some embodiments, the steps for generating a complete station secondary loop model specifically include: parsing the SCD file to extract information on bay-level protection devices, where bay-level protection devices in the SCD refer to all types of protection devices, such as devices whose IEDname starts with P according to the Southern Power Grid naming convention; the extracted information mainly includes functional pressure plates and maintenance pressure plates. Parsing the secondary loop model file to extract process-level related information, which includes merging units, intelligent terminals, and virtual loop information. Based on the bay-level protection device information and the process-level related information, a complete station secondary loop model is formed.

[0057] S300: Receives equipment maintenance information, determines the scope of impact of the operation based on the complete station secondary circuit model, and generates safety monitoring benchmarks.

[0058] In some embodiments, the steps for generating safety monitoring benchmarks specifically include: receiving information about equipment requiring maintenance, obtaining logical link information of the bay layer protection devices associated with the maintenance equipment based on the complete station secondary loop model, finding the bay layer and process layer devices with secondary connections to the maintenance protection devices based on the logical link outward topology, thereby determining the scope of the operation's impact, and sequentially combining the GOOSE receive / transmit pressure plates, functional pressure plates, and maintenance pressure plates found during the topology process to form safety monitoring benchmarks.

[0059] S400: Before operation, retrieve the process layer cross-sectional data file from the intelligent waveform recorder and obtain the general call message from the manufacturing message system (MMS); obtain the relevant pressure plate status based on the process layer cross-sectional data file and the MMS general call message, and compare it with the safety measure benchmark. If they are inconsistent, an alarm will be issued.

[0060] In some embodiments, the structure of the process layer cross-section data file is shown in Table 2. Parsing the process layer cross-section data file can obtain the real-time status of the GOOSE transmit / receive pressure plates in the process layer network. Parsing the MMS general call message obtains the real-time status of each functional pressure plate and maintenance pressure plate in the interval layer network. The real-time status of the GOOSE transmit / receive pressure plates, functional pressure plates, and maintenance pressure plates is compared with the safety measure benchmark; the main content of the comparison is to check whether the GOOSE transmit / receive pressure plates and functional pressure plates are deactivated, and whether the maintenance pressure plates are activated; if they are inconsistent, an alarm is issued.

[0061] Table 2. Process Layer Section Data File Structure

[0062] Level 0 Sectiondata root element - M 1 Seclinkmodel property 1 subStation Substation name STRING M 1 Seclinkmodel property 1 type File type, process layer section data STRING M 1 Seclinkmodel property 1 time File generation time, format: yyyy-MM-dd hh:mm:ss STRING M 1 Level 1 GooseDigVal GOOSE remote signaling value information segment - M 1 Level 2 Item Item Information Section - M ≥1 Item attribute 1 ied iedName STRING M 1 Item attribute 2 reference signal point reference STRING M 1 Item attribute 3 value Value, 0-point, 1-combination INT M 1 Item attribute 4 time Time stamp, format yyyy-MM-dd hh:mm:ss.zzz STRING M 1 Level 1 GooseAnaVal GOOSE telemetry information segment - O 0～1 Level 2 Item Item Information Section - M ≥1 Item attribute 1 ied iedName STRING Item attribute 2 reference signal point reference STRING M 1 Item attribute 3 value value FLOAT M 1 Item attribute 4 time Time stamp, format yyyy-MM-dd hh:mm:ss.zzz STRING M 1 Level 1 SvAnaVal SV telemetry information segment - O 0～1 Level 2 Item Item Information Section - M ≥1 Item attribute 1 ied iedName STRING M 1 Item attribute 2 reference signal point reference STRING M 1 Item attribute 3 mag Amplitude FLOAT M 1 Item attribute 4 ang angle FLOAT M 1 Item attribute 5 time Time stamp, format yyyy-MM-dd hh:mm:ss.zzz STRING M 1

[0063] S500: During operation, a visual monitoring screen is generated based on the safety monitoring benchmark. The pressure plate displacement information involved in the safety benchmark is confirmed based on the information sent by the intelligent waveform recorder measurement point and the MMS displacement message, and displayed on the screen with alarm prompts.

[0064] Specifically, during the operation, an automatic mapping technology is used to generate a visual monitoring screen based on the safety monitoring benchmark. The visual monitoring screen is a secondary loop connection diagram, used to reflect the scope of the operation's impact.

[0065] Real-time monitoring of the information transmitted from the measurement points of the intelligent waveform recorder allows for the parsing and acquisition of the process-level GOOSE transmit / receive plate displacement status. To transmit process-level GOOSE displacement information, the guidelines propose extending a measurement point under the intelligent operation and maintenance alarm information logic node GGIO of the intelligent waveform recorder model. Its structure is shown in Table 3, and it is used to transmit GOOSE displacement information. Therefore, the strings transmitted by the measurement point with the attribute name GseDigVal in the dsWarning dataset of the intelligent waveform recorder's own model can be monitored in real time. Parsing can then obtain the corresponding process-level device GOOSE measurement point reference name and displacement value, thereby monitoring the displacement status of the process-level GOOSE transmit / receive plate.

[0066] Real-time monitoring of MMS displacement messages reveals the displacement status of the bay layer functional pressure plates and maintenance pressure plates. Specifically, for the bay layer device functional pressure plates and maintenance pressure plates, the displacement status of the corresponding measuring points of the device is directly monitored.

[0067] Based on the displacement status of the process layer GOOSE receiving / transmitting pressure plates and the displacement status of the interval layer functional pressure plates and maintenance pressure plates, confirm whether any pressure plates involved in the safety measures benchmark have been displaced. If so, display the pressure plate status on the screen in real time and issue an alarm prompt.

[0068] Table 3. GOOSE mutation information uploaded for modeling at the process level.

[0069]

[0070] S600: After the operation, the process layer cross-sectional data file is retrieved from the intelligent waveform recorder and the general call message is obtained from the manufacturing message system (MMS); the relevant pressure plate status is obtained according to the process layer cross-sectional data file and the MMS general call message, and compared with the safety measure benchmark. If they are inconsistent, an alarm is issued.

[0071] In some embodiments, the structure of the process layer cross-section data file is shown in Table 2 above. Parsing the process layer cross-section data file can obtain the real-time status of the GOOSE transmit / receive pressure plates in the process layer network. Parsing the MMS general call message obtains the real-time status of each functional pressure plate and maintenance pressure plate in the interval layer network. The real-time status of the GOOSE transmit / receive pressure plates, functional pressure plates, and maintenance pressure plates is compared with the safety measure benchmark; the main content of the comparison is to check whether the GOOSE transmit / receive pressure plates and functional pressure plates are engaged, and whether the maintenance pressure plates are disengaged; if there is a discrepancy, an alarm is issued.

[0072] In a preferred embodiment, such as Figure 2 The method also includes step S700: After monitoring is completed, the monitoring record is saved for historical tracing. In some embodiments, after monitoring is completed, the process information is converted into a JSON file and a record is generated and saved. The JSON file format is shown in Table 4.

[0073] Table 4 Monitoring History Information Files

[0074]

[0075]

[0076] like Figure 3 The image shows a remote operation safety monitoring system 800 provided in an embodiment of this application, comprising: a full-site model generation unit 801, a safety monitoring baseline generation unit 802, a pre-operation safety monitoring unit 803, an in-operation safety monitoring unit 804, and a post-operation safety monitoring unit 805. Wherein:

[0077] The whole station model generation unit 801 is used to obtain the whole station system configuration description SCD file and the secondary loop model file from the intelligent waveform recorder; and generate a complete whole station secondary loop model based on the SCD file and the secondary loop model file.

[0078] The safety monitoring benchmark generation unit 802 is used to receive equipment maintenance information, determine the scope of operation impact based on the complete station secondary loop model, and generate safety monitoring benchmarks.

[0079] The pre-operation safety monitoring unit 803 is used to retrieve the process layer cross-sectional data file from the intelligent waveform recorder and obtain the general call message from the manufacturing message system (MMS) before operation; obtain the relevant pressure plate status according to the process layer cross-sectional data file and the MMS general call message, and compare it with the safety benchmark. If they are inconsistent, an alarm is issued.

[0080] The safety monitoring unit 804 is used to generate a visual monitoring screen based on the safety monitoring benchmark during operation, and to confirm the pressure plate displacement information involved in the safety benchmark based on the information sent by the intelligent waveform recorder measurement point and the MMS displacement message, and display and alarm prompts on the screen.

[0081] The post-operation safety monitoring unit 805 is used to retrieve process layer cross-sectional data files from the intelligent waveform recorder and obtain a general call message from the manufacturing message system (MMS) after the operation; obtain the relevant pressure plate status based on the process layer cross-sectional data files and the MMS general call message, and compare it with the safety benchmark. If there is a discrepancy, an alarm is issued.

[0082] In some embodiments, the remote operation full-process safety monitoring system 800 further includes a record storage unit 806, which is used to save the monitoring records after the monitoring is completed for historical tracing.

[0083] This application describes a remote operation safety monitoring system 800 that performs functions similar to the aforementioned method. For details, please refer to the preceding description, which will not be repeated here.

[0084] Figure 4 This diagram illustrates the structure of an electronic device provided in this application. Figure 4 An electronic device is provided, including a processor and a memory. The memory stores computer instructions, which, when executed by the processor, cause the processor to perform the computer instructions to achieve the following: Figure 1 The method and its detailed scheme are shown.

[0085] It should be understood that the above-described device embodiments are merely illustrative, and the device disclosed in this invention can be implemented in other ways. For example, the division of units / modules described in the above embodiments is only a logical functional division, and there may be other division methods in actual implementation. For example, multiple units, modules, or components may be combined, integrated into another system, or some features may be ignored or not executed.

[0086] Furthermore, unless otherwise specified, the functional units / modules in the various embodiments of the present invention can be integrated into one unit / module, or each unit / module can exist physically separately, or two or more units / modules can be integrated together. The integrated units / modules described above can be implemented in hardware or as software program modules.

[0087] If the integrated unit / module is implemented in hardware, the hardware can be digital circuits, analog circuits, etc. The physical implementation of the hardware structure includes, but is not limited to, transistors, memristors, etc. Unless otherwise specified, the processor or chip can be any suitable hardware processor, such as a CPU, GPU, FPGA, DSP, and ASIC, etc. Unless otherwise specified, the on-chip cache, off-chip memory, and storage can be any suitable magnetic or magneto-optical storage medium, such as resistive random access memory (RRAM), dynamic random access memory (DRAM), static random access memory (SRAM), enhanced dynamic random access memory (EDRAM), high-bandwidth memory (HBM), hybrid memory cube (HMC), etc.

[0088] If the integrated unit / module is implemented as a software program module and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this disclosure. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0089] This application embodiment also provides a non-transitory computer storage medium storing a computer program, which, when executed by multiple processors, causes the processors to perform actions such as... Figure 1 The method and its detailed scheme are shown.

[0090] The above description, through specific examples, illustrates the implementation methods of this disclosure. Those skilled in the art can easily understand other advantages and effects of this disclosure from the content disclosed in this specification. Obviously, the described embodiments are merely some embodiments of this disclosure, not all embodiments. This disclosure can also be implemented or applied through other different specific implementation methods, and the details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this disclosure. It should be noted that, in the absence of conflict, the above embodiments and features in the embodiments can be combined with each other. Based on the embodiments of this disclosure, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this disclosure.

Claims

1. A method for monitoring safety measures throughout a remote operation, characterized in that, include: Obtain the full-station system configuration description SCD file and secondary loop model file from the intelligent waveform recorder; Generate a complete station secondary loop model based on the SCD file and the secondary loop model file; Receive equipment maintenance information, determine the scope of impact of the operation based on the complete station secondary loop model, and generate safety monitoring benchmarks; Before the operation, retrieve the process layer section data file from the intelligent waveform recorder and obtain the general call message from the Manufacturing Message System (MMS). The relevant pressure plate status is obtained based on the process layer cross-sectional data file and MMS general call message, and compared with the safety measure benchmark. If they are inconsistent, an alarm is issued. During the operation, a visual monitoring screen is generated based on the safety monitoring benchmark. The pressure plate displacement information involved in the safety benchmark is confirmed based on the information sent by the intelligent waveform recorder measurement point and the MMS displacement message, and displayed and alarmed on the screen. After the operation, the process layer cross-sectional data file is retrieved from the intelligent waveform recorder and the general call message is obtained from the manufacturing message system (MMS). The relevant pressure plate status is obtained based on the process layer cross-sectional data file and the MMS general call message, and compared with the safety measure benchmark. If they are inconsistent, an alarm is issued.

2. The method according to claim 1, characterized in that, The step of generating a complete full-site secondary loop model based on the SCD file and the secondary loop model file includes: The SCD file is parsed to extract information about the spacer protection device; The secondary loop model file is parsed to extract process-level related information, which includes: merging unit, intelligent terminal and virtual loop information; Based on the information of the bay layer protection device and the information of the process layer, a complete secondary circuit model of the entire station is formed.

3. The method according to claim 1, characterized in that, Upon receiving equipment maintenance information, the system determines the scope of the operation's impact based on the complete station secondary loop model and generates a safety monitoring baseline, specifically: The system receives information about equipment requiring maintenance and repair. Based on the complete station secondary circuit model, it obtains the logical link information of the bay layer protection devices associated with the maintenance equipment. Based on the logical link, it finds the bay layer and process layer devices with secondary connections to the maintenance protection devices through the external topology, thereby determining the scope of the operation. The system then combines the GOOSE receive / transmit pressure plates, functional pressure plates, and maintenance pressure plates found during the topology process in sequence to form a safety monitoring benchmark.

4. The method according to claim 1, characterized in that, The relevant pressure plate status is obtained based on the process layer cross-sectional data file and MMS general call message, and compared with the safety measure benchmark. If they are inconsistent, an alarm is issued, specifically: Parse the process layer cross-sectional data file to obtain the real-time status of the GOOSE transmit / receive pressure plate in the process layer network; Parse the MMS general call message to obtain the real-time status of each functional pressure plate and maintenance pressure plate in the interval layer network; The real-time status of the GOOSE transmit / receive pressure plate, functional pressure plate, and maintenance pressure plate is compared with the safety measure benchmark; if they are inconsistent, an alarm is issued.

5. The method according to claim 4, characterized in that, Before operation, the real-time status of the GOOSE receive / transmit pressure plate, functional pressure plate and maintenance pressure plate is compared with the safety measure benchmark. Specifically, this includes checking whether the GOOSE receive / transmit pressure plate and functional pressure plate are deactivated and whether the maintenance pressure plate is activated. After the operation, the real-time status of the GOOSE receiving / transmitting pressure plate, the functional pressure plate, and the maintenance pressure plate is compared with the safety measure benchmark. Specifically, this includes checking whether the GOOSE receiving / transmitting pressure plate and the functional pressure plate are engaged and whether the maintenance pressure plate is disengaged.

6. The method according to claim 1, characterized in that, During the operation, a visual monitoring screen is generated based on the safety monitoring benchmark. The plate displacement information involved in the safety benchmark is confirmed based on the information transmitted from the intelligent waveform recorder's measurement points and the MMS displacement message, and displayed on the screen along with alarm prompts. Specifically: During the operation, an automatic mapping technology is used to generate visual monitoring images based on the safety monitoring benchmark; Real-time monitoring of information transmitted from the measurement points of the intelligent waveform recorder, and analysis to obtain the displacement of the GOOSE transmit / receive pressure plate in the process layer; Real-time monitoring of MMS change messages to obtain the change status of the interval layer functional pressure plate and maintenance pressure plate; Based on the displacement status of the process layer GOOSE receiving / transmitting pressure plates and the displacement status of the interval layer functional pressure plates and maintenance pressure plates, confirm whether any pressure plates involved in the safety measures benchmark have been displaced. If so, display the pressure plate status on the screen in real time and issue an alarm prompt.

7. The method according to claim 6, characterized in that, The real-time monitoring of the intelligent waveform recorder's measurement point transmission information, and the parsing and acquisition of the GOOSE transmit / receive plate displacement status at the process layer, specifically involves: The system monitors the string sent by the measurement point with the attribute name GseDigVal in the dsWarning dataset of the intelligent waveform recorder's own model in real time. It then parses and obtains the reference name and displacement value of the corresponding process layer device GOOSE measurement point, thereby monitoring the displacement of the process layer GOOSE receiving / transmitting pressure plate.

8. The method according to claim 1, characterized in that, Also includes: After the monitoring ends, the monitoring records are saved for historical tracing.

9. A remote operation safety monitoring system, characterized in that, include: The whole station model generation unit is used to obtain the whole station system configuration description SCD file and secondary loop model file from the intelligent waveform recorder; and to generate a complete whole station secondary loop model based on the SCD file and secondary loop model file. The safety monitoring benchmark generation unit is used to receive equipment maintenance information, determine the scope of operation impact based on the complete station secondary loop model, and generate safety monitoring benchmarks. The pre-operation safety monitoring unit is used to retrieve process layer cross-sectional data files from the intelligent waveform recorder and obtain a general call message from the manufacturing message system (MMS) before operation. The relevant pressure plate status is obtained based on the process layer cross-sectional data file and MMS general call message, and compared with the safety measure benchmark. If they are inconsistent, an alarm is issued. The safety monitoring unit during operation is used to generate a visual monitoring screen based on the safety monitoring benchmark during operation, and to confirm the pressure plate displacement information involved in the safety benchmark based on the information sent by the intelligent waveform recorder measurement point and the MMS displacement message, and display and alarm prompts on the screen. The post-operation safety monitoring unit is used to retrieve process layer cross-sectional data files from the intelligent waveform recorder and obtain general call messages from the Manufacturing Message System (MMS) after the operation; obtain the relevant pressure plate status based on the process layer cross-sectional data files and MMS general call messages, and compare it with the safety benchmark. If there is a discrepancy, an alarm is issued.

10. The system according to claim 9, characterized in that, Also includes: The record storage unit is used to save the monitoring records after the monitoring ends for historical tracing.

11. An electronic device, characterized in that, include: processor; as well as A memory storing computer instructions that, when executed by the processor, cause the processor to perform the method according to any one of claims 1-8.

12. A non-transitory computer storage medium, characterized in that, The device contains a computer program that, when executed by a plurality of processors, causes the processors to perform the method described in any one of claims 1-8.

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