A safety intelligent management and control method and system for a river basin clean energy centralized control system

Abstract

The present application relates to the technical field of energy security intelligent management and control, in particular to a safety intelligent management and control method and system for a river basin clean energy centralized control system, which eliminates signal differences through full collection and standardized conversion of multi-source heterogeneous data; then uses fine classification and intelligent cleaning of signals to solve the problems of alarm storm and invalid information interference in traditional centralized control systems; then, combined with adaptive identification of operation scenes (operation / maintenance), the accuracy of alarm analysis is realized to reduce the false alarm rate; finally, through real-time evaluation, historical tracing and working condition matching of the equipment state, disposal suggestions are generated to improve the operation and maintenance safety, fault response efficiency and intelligent management level of the river basin clean energy centralized control system.

Description

Technical Field

[0001] This invention relates to the field of intelligent energy security management and control technology, specifically to a method and system for intelligent management and control of clean energy centralized control systems in river basins. Background Technology

[0002] With the continuous improvement of clean energy base construction and the digitalization and intelligence of power systems, centralized monitoring and unified dispatch of various energy plants such as hydropower, wind power, and photovoltaic power within river basins has become an important development direction for large energy companies. Especially in the context of cascade power stations and multi-energy complementary coordinated operation within river basins, centralized control systems not only undertake basic functions such as equipment operation monitoring, alarm processing, and remote control, but also directly relate to safe power production, optimized energy dispatch, and stable operation of the regional power grid. Therefore, how to improve the security, stability, and intelligence level of centralized control systems has become a crucial technical issue in the field of clean energy centralized control within river basins.

[0003] Currently, the security management of centralized control systems mainly relies on manual monitoring and collaboration with distributed business systems. For example, CN120448891A discloses an intelligent status information analysis system for monitoring equipment in centralized control stations, which includes an information analysis and management module, an event handling and management module, and a business tracking and control module. The information analysis and management module is used to process alarm signals as events. The information analysis and management module is equipped with a power monitoring knowledge base, which is used to collect, organize, manage, and analyze data and knowledge related to monitoring, supporting system monitoring, event management, problem diagnosis, and decision-making.

[0004] However, the above solutions have the following shortcomings: (1) Data sources of various business systems are scattered, lacking unified data access and standardized management, which affects the efficiency of information sharing; (2) The number of equipment signals is huge, mainly relying on manual identification and processing, which is prone to misjudgment and omission; (3) Abnormal handling relies on manual experience, lacks intelligent analysis and closed-loop tracking, and has low processing efficiency. Summary of the Invention

[0005] To address the problems in existing technologies, this invention provides a safe and intelligent management system method and system for watershed clean energy centralized control systems. It aims to improve the safety protection capabilities and intelligent management level of the centralized control system during operation, and also enhance the timeliness of abnormal risk identification and the accuracy of handling.

[0006] This invention is achieved through the following technical solution: A safe and intelligent management and control method for a watershed clean energy centralized control system includes: Collect equipment operation data and related business information, including equipment operation signals, alarm information, test process data, and defect handling records; Receive equipment production and operation data, and convert data from different sources into a unified format according to preset data rules to obtain corresponding standardized signals; Identify the device name, measurement point location, and operating attributes corresponding to each standardized signal, and classify them according to switch quantity, analog quantity, status quantity, and alarm quantity; From the classified signals, abnormal signals are identified, duplicate alarm signals are merged, and invalid signals are filtered out. Based on the current operating status, distinguish between normal operation scenarios and maintenance / testing scenarios, and call the corresponding analysis rules to process alarm signals and obtain the current status of the equipment; Extract the current status, historical records, and current operating conditions of the equipment, perform matching analysis on the causes of anomalies, and generate corresponding handling suggestions.

[0007] Preferably, after receiving the equipment production and operation data, the system performs an integrity check on the access data, identifies null values, duplicate values, and outliers, and stores the processed data in a unified database. For data fields uploaded from different systems, the module performs name matching, unit conversion, and time alignment according to the corresponding relationships to form a unified data structure.

[0008] Preferably, abnormal signals are identified by whether the rate of change between adjacent sampling points exceeds a set threshold; if so, they are determined to be abnormal signals.

[0009] Preferably, for recurring alarm signals, whether to perform merging processing is determined by whether the signal repetition rate of the alarm signal is higher than a preset threshold; if so, merging processing is performed.

[0010] Preferably, the system distinguishes between normal operation scenarios and maintenance / testing scenarios based on the current operating status, and calls corresponding analysis rules to process relevant signals, including: Under normal operating conditions, out-of-limit, sudden, and persistent abnormal signals are identified by changes in key parameters: In the maintenance and testing state, the module analyzes the equipment response process according to the preset test steps and compares the test data with the standard values.

[0011] Preferably, under normal operating conditions, the system determines whether there is an anomaly based on whether the deviation rate between the real-time value and the reference value of the key parameter exceeds a preset range. When the deviation rate exceeds the preset range, the system determines that the equipment is abnormal. The system also determines whether the equipment status is continuously deteriorating based on the change in the average value of the key parameter.

[0012] Preferably, in the maintenance test scenario, the test error rate is used to determine whether an anomaly has occurred. When the test error rate exceeds the allowable range, the system automatically records the anomaly and outputs the analysis results.

[0013] A system for implementing the aforementioned safe and intelligent management method for a watershed-oriented clean energy centralized control system includes: The data access and management module is used to receive equipment production and operation data, and convert data from different sources into a unified format according to preset data rules to obtain corresponding standardized signals; The signal processing and management module is used to identify the device name, measurement point location, and operating attributes corresponding to each signal, and classify them according to switch quantity, analog quantity, status quantity, and alarm quantity; and to identify abnormal signals, merge duplicate alarm signals, and filter invalid signals from the classified signals. The multi-scenario intelligent analysis module is used to distinguish between normal operation scenarios and maintenance and testing scenarios based on the current operating status, and to call the corresponding analysis rules to process alarm signals and obtain the current status of the equipment. The accident and anomaly handling module is used to extract the current status, historical records and current operating conditions of the equipment, match and analyze the causes of anomalies, and generate corresponding handling suggestions.

[0014] An electronic device includes a memory and a processor, the memory storing a computer program, the processor executing the computer program to implement the steps of the method.

[0015] A storage medium having a computer program stored thereon, the computer program being executed by a processor to perform the steps of the method.

[0016] Compared with the prior art, the present invention has the following beneficial effects: This invention presents a safety and intelligent management system method for a watershed clean energy centralized control system. It eliminates signal differences through the full acquisition and standardized conversion of multi-source heterogeneous data. Then, it utilizes refined signal classification and intelligent cleaning (duplicate removal and filtering) to address the problems of alarm storms and invalid information interference in traditional centralized control systems. Next, it combines adaptive identification of operating scenarios (operation / maintenance) to achieve more accurate alarm analysis, thereby reducing false alarm rates. Finally, it generates handling suggestions through real-time assessment of equipment status, historical tracing, and operating condition matching, thereby improving the operational safety, fault response efficiency, and intelligent management level of the watershed clean energy centralized control system.

[0017] This invention discloses a safety and intelligent management system for a watershed clean energy centralized control system. Utilizing multi-source information such as production operation platform data, equipment operation signals, alarm information, test process data, and defect handling records, the system identifies, analyzes, and handles safety risks in the centralized control system through unified data management, standardized signal processing, multi-scenario intelligent analysis, and coordinated anomaly handling. Simultaneously, the system can promptly perceive and intelligently judge abnormal states during the operation of the centralized control system and automatically generate handling strategies, thereby achieving full-process safety protection. Compared with existing technologies, this invention improves the automation and intelligence level of centralized control system safety management by introducing multi-source data fusion, intelligent signal governance, scenario-based analysis, and closed-loop handling mechanisms. It provides reliable technical support for the stable operation of watershed clean energy centralized control systems and has high engineering application value and promotional significance. Attached Figure Description

[0018] Figure 1 This is a flowchart of a safe and intelligent management method for a watershed clean energy centralized control system according to the present invention; Figure 2 This is a schematic diagram of a safety and intelligent management system for a watershed clean energy centralized control system, according to the present invention. Detailed Implementation

[0019] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification.

[0020] Exemplary embodiments of the present invention will now be described with reference to the accompanying drawings. However, the present invention may be embodied in many different forms and is not limited to the embodiments described herein. These embodiments are provided to fully and completely disclose the invention and to fully convey its scope to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the drawings is not intended to limit the invention. In the drawings, the same units / elements are referred to by the same reference numerals.

[0021] Unless otherwise stated, the terms used herein (including technical terms) have their common meaning as understood by one of ordinary skill in the art. Furthermore, it is understood that terms defined in commonly used dictionaries should be understood to have a meaning consistent with the context of their relevant field, and not to be interpreted as having an idealized or overly formal meaning.

[0022] The present invention will be further described in detail below with reference to specific embodiments. These descriptions are for explanation purposes only and are not intended to limit the scope of the invention.

[0023] This invention discloses a safe and intelligent management method for a watershed clean energy centralized control system, referring to... Figure 1 ,include: S100 collects equipment operation data and related business information, including equipment operation signals, alarm information, test process data, and defect handling records; The S200 receives equipment production and operation data and converts the data from different sources into a unified format according to preset data rules to obtain corresponding standardized signals. After receiving the equipment production and operation data, it performs integrity checks on the incoming data, identifies null values, duplicate values, and outliers, and stores the processed data in a unified database. For data fields uploaded from different systems, the module performs name matching, unit conversion, and time alignment according to corresponding relationships to form a unified data structure.

[0024] The S300 identifies the device name, measurement point location, and operating attributes corresponding to each standardized signal, and classifies them according to switch quantity, analog quantity, status quantity, and alarm quantity.

[0025] The S400 identifies abnormal signals, merges duplicate alarm signals, and filters invalid signals from the classified signals. Specifically: Abnormal signals are identified by whether the rate of change between adjacent sampling points exceeds a set threshold; if so, it is determined to be an abnormal signal. The formula for calculating the rate of change is:

[0026] in: The rate of change of the signal; The signal value at the current moment; The signal value at the previous moment; This represents the sampling time interval.

[0027] For recurring alarm signals, the decision to merge them is based on whether the signal repetition rate exceeds a preset threshold. If so, the signals are merged. The formula for calculating the signal repetition rate is:

[0028] in: Repetition rate; The number of repetitive signals; This represents the total number of signals.

[0029] The S500 distinguishes between normal operation scenarios and maintenance / testing scenarios based on the current operating status, and calls the corresponding analysis rules to process alarm signals and obtain the current status of the equipment. Specifically: Under normal operating conditions, out-of-limit, sudden, and persistent abnormal signals are identified by changes in key parameters. Specifically, the presence of an anomaly is determined by whether the deviation rate between the real-time value and the reference value of the key parameter exceeds a preset range; the formula for the deviation rate is:

[0030] in: The deviation rate; These are real-time collected values; This is the normal reference value; when the deviation rate exceeds the preset range, the system determines that the equipment may be malfunctioning.

[0031] Determining whether equipment condition is continuously deteriorating based on changes in the average value of key parameters: Performing a moving average processing on continuously sampled values:

[0032] in: This is the average value; For the first Sub-sample value; This refers to the number of samples. By analyzing the changes in the average value during the sampling period, the time and extent to which equipment parameters deviate from the normal operating range can be determined, thereby analyzing whether the equipment's operating status is continuously deteriorating. Specifically: The time during which the equipment parameters deviate from the normal operating range is:

[0033] in: This represents the cumulative time during which the parameter deviates from the normal operating range. This refers to the number of samples taken that exceeded the normal operating range. The sampling period.

[0034] The degree to which the equipment parameters deviate from the normal operating range is as follows:

[0035] in: The degree to which the parameter deviates from the normal operating range; It is a moving average; This is the upper limit for normal operation. This is the lower limit for normal operation.

[0036] When satisfied and If this is the case, it can be determined that the equipment's operating status is continuously deteriorating.

[0037] in: This is due to deviation from the time threshold; This is the threshold for the degree of deviation.

[0038] During maintenance and testing, the system analyzes the equipment response process according to preset test procedures, compares the test data with standard values, and uses the test error rate to determine whether an anomaly has occurred. When the test error rate exceeds the allowable range, the system automatically records the anomaly and outputs the analysis results. The formula for calculating the test error rate is as follows:

[0039] in: This refers to the test error rate; These are experimental measurements; This is the standard setting value.

[0040] The S500 extracts the current status, historical records, and current operating conditions of the equipment, performs matching analysis on the causes of anomalies, and generates corresponding handling suggestions, specifically including: For different types of abnormal events, the pre-set handling procedures provide handling steps and push relevant information to the corresponding positions, thereby reducing the time and errors of manual judgment through standardized procedures.

[0041] During the handling process, record the operation content and processing results of each step, and update the event handling status according to changes in equipment status.

[0042] Once the anomaly is resolved, the event will be automatically archived, and a complete handling record will be generated.

[0043] This invention provides a safe and intelligent management method for centralized control systems of clean energy in watersheds. It achieves standardized signal processing by automatically identifying, classifying, grading, and hierarchically associating equipment signals. For different scenarios such as operation monitoring and maintenance testing, it dynamically analyzes and assesses abnormal states and risks. Combining real-time operating conditions and an experience-based rule base, it automatically generates anomaly handling strategies and completes closed-loop tracking. By establishing a comprehensive safety protection mechanism covering data access, signal management, intelligent analysis, and emergency response, this invention can promptly detect abnormal risks in the centralized control system, improving the safety, stability, and intelligent management level of the system.

[0044] This invention also discloses a system for implementing the aforementioned safe and intelligent management method for a watershed-oriented clean energy centralized control system, referring to... Figure 2 ,include: The data access and management module is used to receive equipment production and operation data, and convert data from different sources into a unified format according to preset data rules to obtain corresponding standardized signals.

[0045] The signal processing and management module is used to identify the device name, measurement point location, and operating attributes corresponding to each signal, and classify them according to switch quantity, analog quantity, status quantity, and alarm quantity; and to identify abnormal signals, merge duplicate alarm signals, and filter invalid signals from the classified signals. The multi-scenario intelligent analysis module is used to distinguish between normal operation scenarios and maintenance and testing scenarios based on the current operating status, and to call the corresponding analysis rules to process alarm signals and obtain the current status of the equipment. The accident and anomaly handling module is used to extract the current status, historical records and current operating conditions of the equipment, match and analyze the causes of anomalies, and generate corresponding handling suggestions.

[0046] In the aforementioned system, the data access and management module is used to uniformly access and manage data from various business systems within the centralized control system. For data fields uploaded from different systems, the module performs name matching, unit conversion, and time alignment according to the corresponding relationships, thus forming a unified data structure from scattered data. The module also performs integrity checks on the accessed data, identifies null values, duplicate values, and outliers, and stores the processed data in a unified database for subsequent system access.

[0047] The signal processing module automatically processes the collected device signals. For multiple signals from the same device, the module establishes a correspondence between the device and the signal, and generates a signal association structure according to the device hierarchy. The module identifies frequently changing but meaningless interference signals, merges duplicate alarms, filters invalid signals, and classifies signals according to alarm level, so that the signal content can be displayed in a unified manner.

[0048] Specifically, signals are categorized and labeled according to their alarm levels, based on the importance of individual signals, and signal weight values ​​are calculated accordingly.

[0049] in: This represents the signal weight value. Frequency of signal occurrence; Signal level; , These are weighting coefficients. Signals are categorized and labeled according to their weight values, with key signals being displayed first.

[0050] The multi-scenario intelligent analysis module analyzes the equipment status under different operating scenarios. Under normal operating conditions, the module continuously monitors changes in key parameters and identifies out-of-limit, sudden, and persistent abnormal signals. Under maintenance and testing conditions, the module analyzes the equipment response process according to preset test procedures and compares the test data with standard values. The module also performs correlation analysis on multiple related signals to determine whether the anomaly is caused by the same equipment or the same operating condition, and outputs the corresponding anomaly judgment result.

[0051] The Accident and Anomaly Handling module is used to process abnormal events identified by the system. Upon receiving an anomaly information, this module extracts the real-time status, historical records, and current operating conditions of the corresponding equipment, performs matching analysis on the cause of the anomaly, and generates corresponding handling suggestions. For different types of abnormal events, the module provides handling steps according to a preset handling procedure and pushes relevant information to the corresponding positions. During the handling process, the module records the operation content and processing results at each step and updates the event handling status according to changes in equipment status. After the anomaly is resolved, the module automatically archives the event and forms a complete handling record.

[0052] This invention achieves centralized management of the operational status of the centralized control system by integrating multi-source information such as production operation data, equipment operation signals, alarm information, test process data, and defect handling records through a unified data access method. Simultaneously, it standardizes heterogeneous data from different business systems and establishes unified data association relationships, enabling the system to comprehensively reflect the equipment's operational status and provide reliable data support for subsequent safety analysis. Based on different application scenarios such as normal operation, maintenance testing, and abnormal operating conditions, the system automatically identifies, classifies, grades, and performs correlation analysis on equipment signals. The system can invoke corresponding analysis rules according to different scenarios, dynamically judge abnormal states, and generate handling suggestions based on real-time operating conditions, thereby improving the accuracy of anomaly identification and processing efficiency, and making the safety management process more intelligent.

[0053] This invention improves the automation and intelligence level of centralized control system security management by using a unified access security management method for multi-source information and a signal intelligent analysis mechanism for multiple scenarios. It provides reliable technical support for the stable operation of the watershed clean energy centralized control system and has high engineering application value and promotion significance.

[0054] This invention also discloses a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the method. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, and is suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions from a computer storage medium to implement the corresponding method flow or corresponding function. This invention also discloses a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method. The computer-readable storage medium is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both built-in storage media in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space containing the terminal's operating system. Furthermore, this storage space also contains one or more instructions suitable for loading and execution by a processor; these instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium.

[0055] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0056] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0057] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0058] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0059] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the functions specified in one or more boxes. Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

[0060] The above description is merely a preferred embodiment of the present invention and is not intended to limit the technical solution of the present invention in any way. Those skilled in the art should understand that, without departing from the spirit and principles of the present invention, the technical solution can be modified and replaced in several simple ways, and these modifications and replacements are all within the scope of protection covered by the claims.

Claims

1. A safe and intelligent management and control method for a watershed clean energy centralized control system, characterized in that, include: Collect equipment operation data and related business information, including equipment operation signals, alarm information, test process data, and defect handling records; Receive equipment production and operation data, and convert data from different sources into a unified format according to preset data rules to obtain corresponding standardized signals; Identify the device name, measurement point location, and operating attributes corresponding to each standardized signal, and classify them according to switch quantity, analog quantity, status quantity, and alarm quantity; From the classified signals, abnormal signals are identified, duplicate alarm signals are merged, and invalid signals are filtered out. Based on the current operating status, distinguish between normal operation scenarios and maintenance / testing scenarios, and call the corresponding analysis rules to process alarm signals and obtain the current status of the equipment; Extract the current status, historical records, and current operating conditions of the equipment, perform matching analysis on the causes of anomalies, and generate corresponding handling suggestions.

2. The safe and intelligent control system for a watershed-oriented clean energy centralized control system according to claim 1, characterized in that, After receiving equipment production and operation data, the system performs an integrity check on the data, identifies null values, duplicate values, and outliers, and stores the processed data in a unified database. For data fields uploaded from different systems, the module performs name matching, unit conversion, and time alignment according to the corresponding relationships to form a unified data structure.

3. The safe and intelligent control system for a watershed-oriented clean energy centralized control system according to claim 1, characterized in that, Abnormal signals are identified by whether the rate of change between adjacent sampling points exceeds a set threshold; if so, they are determined to be abnormal signals.

4. The safe and intelligent control system for a watershed-oriented clean energy centralized control system according to claim 1, characterized in that, For recurring alarm signals, the signal repetition rate of the alarm signal is used to determine whether to merge them. If so, they are merged.

5. The safe and intelligent control system for a watershed-oriented clean energy centralized control system according to claim 1, characterized in that, Based on the current operating status, the system distinguishes between normal operation scenarios and maintenance / testing scenarios, and applies corresponding analysis rules to process relevant signals, including: Under normal operating conditions, out-of-limit, sudden, and persistent abnormal signals are identified by changes in key parameters: In the maintenance and testing state, the module analyzes the equipment response process according to the preset test steps and compares the test data with the standard values.

6. The safe and intelligent control system for a watershed-oriented clean energy centralized control system according to claim 1, characterized in that, Under normal operating conditions, the system determines whether there is an anomaly by checking whether the deviation rate between the real-time value and the reference value of the key parameters exceeds the preset range. When the deviation rate exceeds the preset range, the system determines that the equipment is abnormal. The system also determines whether the equipment condition is continuously deteriorating by checking the changes in the average value of the key parameters.

7. The safe and intelligent control system for a watershed-oriented clean energy centralized control system according to claim 1, characterized in that, In maintenance and testing scenarios, the test error rate is used to determine whether an anomaly has occurred. When the test error rate exceeds the allowable range, the system automatically records the anomaly and outputs the analysis results.

8. A system for implementing the safe and intelligent control method for a watershed-oriented clean energy centralized control system as described in any one of claims 1 to 7, characterized in that, include: The data access and management module is used to receive equipment production and operation data, and convert data from different sources into a unified format according to preset data rules to obtain corresponding standardized signals; The signal processing and management module is used to identify the device name, measurement point location, and operating attributes corresponding to each signal, and classify them according to switch quantity, analog quantity, status quantity, and alarm quantity; and to identify abnormal signals, merge duplicate alarm signals, and filter invalid signals from the classified signals. The multi-scenario intelligent analysis module is used to distinguish between normal operation scenarios and maintenance and testing scenarios based on the current operating status, and to call the corresponding analysis rules to process alarm signals and obtain the current status of the equipment. The accident and anomaly handling module is used to extract the current status, historical records and current operating conditions of the equipment, match and analyze the causes of anomalies, and generate corresponding handling suggestions.

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

Images