Automated process method and system based on intelligent sending of relay protection fault information

Abstract

The application discloses an automatic process method and system based on intelligent sending of relay protection fault information, relates to the technical field of power safety engineering, and comprises the following steps: collecting fault information through a first device; performing a first action to confirm, and adding the fault information into a database after completion; judging the operation state of the device through a first process; and performing abnormal processing through a second process.The method provided by the application has the following economic benefits: replacing manual work to complete the work with high efficiency, ensuring the effectiveness of work completion, greatly reducing repeated human work, avoiding errors caused by human factors, improving work efficiency, and reducing human cost.The method has the following social benefits: the automatic process tool of intelligent analysis, diagnosis, early warning and sending of relay protection faults is helpful to improving the reliability of a power system, reducing the influence of faults, improving operation and maintenance efficiency, promoting intelligent transformation, and meeting safety supervision requirements.

Description

Technical Field

[0001] This invention relates to the field of power safety engineering technology, specifically to an automated process method and system based on intelligent transmission of relay protection fault information. Background Technology

[0002] In the power industry, relay protection equipment is a key component ensuring the stable operation and safety early warning of the power system. These devices can act quickly upon detecting anomalies or faults in the power system, such as disconnecting the faulty section to prevent the fault from spreading and protecting the integrity of the entire system. Although power companies have implemented various measures, such as assigning dedicated personnel for monitoring, safety risks still exist due to the complexity and diversity of power system indicator data. Currently, traditional manual monitoring relies mainly on human experience and historical data analysis. This method is difficult to comprehensively and promptly identify and prevent potential safety hazards, and it is also difficult to achieve 100% accuracy. Therefore, effectively improving the timeliness and accuracy of fault early warning and information alerts from power relay protection equipment is crucial to ensuring the stable operation of these devices. The main problems currently include: Response speed: Manual early warning requires time to analyze and judge fault information, which may lead to a slow response. Human factors: Manual early warning is easily affected by human factors, such as fatigue and negligence, which may lead to errors or omissions in early warning. High costs: Manual early warning requires a significant investment of human resources and time, increasing the operating costs of enterprises.

[0003] With the rapid development of process automation technology, it has been widely applied in the power sector, realizing the automation and intelligent upgrading of business processes, improving work efficiency and accuracy, and reducing operating costs and human error. However, some details in the existing automated processes still need improvement, such as: Unreasonable process design: If the automated process is poorly designed or lacks standardized operations, it may lead to poor automation results or additional maintenance costs. For example, certain parameters may need to be modified due to business needs. System stability and fault tolerance: The normal operation of automated processes depends on a stable IT environment. If the system or network fails, task execution may be interrupted or fail, affecting the timeliness and accuracy of fault warnings. Furthermore, its fault tolerance in the face of abnormal situations is limited, and it may not be able to effectively cope with sudden faults or errors. Insufficient adaptability to complex business processes: Fault warning for power relay protection equipment involves multiple links and cross-system business operations. If the business is complex or the adaptability of the business processes is insufficient, these interactive processes may not be effectively handled, thus affecting the warning effect.

[0004] Therefore, there is an urgent need for an automated tool to assist on-duty personnel in their work, so as to improve the timeliness and accuracy of fault information alerts for power relay protection equipment and ensure the stable operation of power relay protection equipment. Summary of the Invention

[0005] In view of the above-mentioned problems, the present invention is proposed.

[0006] Therefore, the technical problem solved by this invention is: how to improve the timeliness and accuracy of fault information reminders from power relay protection equipment, and ensure the stable operation of power relay protection equipment.

[0007] To solve the above-mentioned technical problems, the present invention provides the following technical solution: an automated process method based on intelligent transmission of relay protection fault information, comprising:

[0008] Fault information is collected through the first device;

[0009] Perform the first action to confirm, and then add the fault information to the database.

[0010] The first step is to determine the equipment's operating status;

[0011] Exception handling is performed through a second process.

[0012] As a preferred embodiment of the automated process method based on intelligent transmission of relay protection fault information described in this invention, the step of collecting fault information through the first device includes monitoring whether there is any latest relay equipment fault information through the first device.

[0013] As a preferred embodiment of the automated process method for intelligent transmission of relay protection fault information described in this invention, the step of performing the first action for confirmation includes determining whether the fault information is repeated and determining the transmission status.

[0014] As a preferred embodiment of the automated process method based on intelligent transmission of relay protection fault information described in this invention, the step of adding fault information to the database includes sending a fault report, a fault waveform file, and adding the fault information to the database.

[0015] As a preferred embodiment of the automated process method based on intelligent transmission of relay protection fault information described in this invention, the step of judging the equipment operating status includes automatically judging whether the adaptability is operating at full load.

[0016] As a preferred embodiment of the automated process method for intelligent transmission of relay protection fault information described in this invention, the determination of equipment operating status further includes: when operating at full load, activating the backup process, automatically dispatching the backup process to take over, using multiple relay devices to issue warnings simultaneously, and maximizing the timely transmission of fault information.

[0017] As a preferred embodiment of the automated process method for intelligent transmission of relay protection fault information described in this invention, the abnormality handling includes: checking the heartbeat data table in the database at regular intervals; when the threshold is exceeded, the automated process automatically attempts to recover; if recovery fails, a message is promptly sent via communication software to remind the user, and a backup process is activated to take over the early warning work.

[0018] As a preferred embodiment of the automated process system based on intelligent transmission of relay protection fault information described in this invention, it includes: a real-time login to a remote operation and maintenance management platform, an intelligent information transmission module, a database recording module, and a process scheduling module;

[0019] The real-time login remote operation and maintenance management platform is used for real-time data monitoring and capturing real-time data of relay equipment;

[0020] The intelligent information sending module sends the fault report and waveform recording file to the ELINK group according to the work group name specified in the process configuration table, and updates the database with the sending result;

[0021] The database recording module records complete information for each fault, including serial number, fault time, equipment name, report and waveform file name, and sent content; it automatically updates the ledger data to ensure data integrity and traceability.

[0022] The process scheduling module uses an automated process tool based on relay protection fault information to determine whether the system is operating at full load. When an anomaly occurs, it attempts to restore the operation. If restoration fails, it activates a backup process and sends a reminder.

[0023] A computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement an automated process method for intelligent transmission of relay protection fault information.

[0024] A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of an automated process method for intelligent transmission of relay protection fault information.

[0025] The beneficial effects of this invention are as follows: The automated process method based on intelligent transmission of relay protection fault information provided by this invention offers the following economic benefits: It replaces manual labor to complete tasks efficiently, ensuring the effectiveness of work completion while significantly reducing repetitive manual work, avoiding errors caused by human factors, and improving work efficiency while reducing labor costs. The social benefits are also significant: The development of automated process tools for intelligent analysis, diagnosis, early warning, and transmission of relay protection faults helps improve the reliability of power systems, reduce the impact of faults, improve operation and maintenance efficiency, promote intelligent transformation, and meet safety regulatory requirements. Attached Figure Description

[0026] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0027] Figure 1 The first embodiment of the present invention provides an overall flowchart of an automated process method based on intelligent transmission of relay protection fault information.

[0028] Figure 2 The first embodiment of the present invention provides an automated process method for intelligent transmission of relay protection fault information.

[0029] Figure 3 This is a business process diagram of an automated process method for intelligent transmission of relay protection fault information, provided in the first embodiment of the present invention. Detailed Implementation

[0030] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0031] Example 1, referring to Figures 1-3 As an embodiment of the present invention, an automated process method based on intelligent transmission of relay protection fault information is provided, comprising:

[0032] S1: Collect fault information through the first device.

[0033] In this application embodiment, the first device may be a real-time remote operation and maintenance management platform or an automated process tool based on intelligent transmission of relay protection fault information.

[0034] Furthermore, collecting fault information through the first device includes monitoring for the presence of new relay equipment fault information. Operating 24 / 7, it improves efficiency while minimizing human error.

[0035] Furthermore, the system includes a logging mechanism that records the execution results of each data point, the number of work orders processed, and a historical execution record mechanism. After the process completes, the results and data are saved to a history folder for easy retrieval. Regarding system stability and fault tolerance, an exception handling mechanism automatically detects and resumes execution if the business system experiences delays or other issues during process execution, supporting breakpoint continuation until the process is complete. This addresses the issue of insufficient adaptability to complex business processes.

[0036] In an optional embodiment, an integrated monitoring and data collection system is built using an IoT platform to connect distributed relay devices to a central management system (the first device), enabling data acquisition, transmission, analysis, and storage. The relay devices collect operational data in real time using built-in sensors (such as current, voltage, temperature, and humidity monitors). The data is transmitted to the cloud platform via an IoT gateway. The gateway supports multiple communication protocols (such as LoRa, NB-IoT, Wi-Fi, 4G / 5G, etc.) to achieve seamless connectivity between different devices. The cloud platform analyzes the collected data and extracts abnormal states as fault information. The fault information is stored in a database in real time and interacts with the first device.

[0037] It should be noted that the characteristics of the first device, as the core component for fault information collection, determine the monitoring efficiency and reliability of the system. The devices explicitly listed in this invention have the ability to work continuously 24 / 7, which can reduce errors caused by manual intervention, and at the same time improve the traceability of the system through log recording and historical operation record functions.

[0038] S2: Perform the first action to confirm, and then add the fault information to the database.

[0039] In this embodiment of the application, the confirmation of performing the first action includes, for example: Figure 2 As shown, it determines whether the fault information is duplicated and assesses the transmission status. Specifically:

[0040] Step 1: Use the 24 / 7 real-time monitoring remote operation and maintenance management platform to check for the latest relay equipment fault information.

[0041] Step 2: Start the automated process according to the predetermined scheduling plan and begin executing the real-time monitoring task.

[0042] Step 3: Automatically log in to the remote operation and maintenance management platform to obtain real-time data of the relay equipment. By selecting "Fault Analysis - Intelligent Diagnosis - Historical Fault Information" and the end time, the first 6 retrieved relay equipment fault information data are compared with the historical records in the database. If there are no duplicate fault information records, the fault report and waveform recording file of the relay equipment are exported and stored in the designated location on the computer.

[0043] In an optional embodiment, the first action for confirmation can also be based on an edge computing-based confirmation method, deploying edge computing nodes on the device to achieve localized data processing and confirmation. The edge nodes monitor the device's operating status in real time, collect and preliminarily process fault information. The edge nodes determine whether the fault information is duplicated with locally cached historical data. If a new fault is confirmed, the fault information and waveform recording file are uploaded to the central server for storage and subsequent operations are triggered.

[0044] Furthermore, adding the fault information to the database includes, for example... Figure 3 As shown, fault reports, fault waveform files, and fault information are sent and added to the database. Relevant data and information are recorded and entered into the ledger. The automated workflow tool for intelligent transmission of relay protection fault information can realize functions such as data capture, processing, recording, and ledger updating. The recorded ledger information includes serial number, fault time, faulty equipment, fault information report name, waveform file name, and transmission information.

[0045] Furthermore, the fault report, fault waveform file, and fault information are sent to the top elink group, and it is determined whether the sending was successful. If the sending is successful, the fault information is added to the database.

[0046] Furthermore, by reading the work group name from the process configuration table and storing it in a variable, the process automation tool, through ELINK, selects the work group name in the variable and sends the relay equipment fault report and waveform recording file to the work group for early warning. The sending result is recorded in the database; if the sending fails, the is_send field equals "0", and the process will resend.

[0047] Furthermore, file sending has been optimized here. When there are a large number of fault reports and waveform recordings, the automated process uses binary file reading to send files, eliminating the need to open and send files each time, thus improving sending efficiency and saving file sending time.

[0048] Furthermore, the sent information is as follows: A transformer fault occurred in the #1 main transformer of Feilong Substation on [Date] at [Time], [Minute], [Second], and [Millisecond] of year XXXX. Fault range: XXXX, Fault nature: XXX, Fault phase: XXX, Reclosing action (not performed), Fault location: XXX, Fault current: XXX, Fault duration: XXXX. The red highlighted section indicates the read / modified portion.

[0049] It should be noted that the logging mechanism can accurately capture the results of each operation, facilitating subsequent analysis; the historical record mechanism supports the tracking and analysis of complex faults, and is particularly suitable for long-term monitoring scenarios. Compared with existing technologies, this feature greatly enhances the system's stability and fault tolerance.

[0050] Example 2, an embodiment of the present invention, provides an automated process method based on intelligent transmission of relay protection fault information, including:

[0051] S3: Determine the equipment's operating status through the first process.

[0052] Furthermore, the determination of equipment operating status includes automatically determining whether the adaptability is operating at full load. If it is operating at full load, the backup process is activated, the backup process is automatically dispatched to take over, and multiple relay devices are used to issue warnings simultaneously to send fault information in a timely manner to the maximum extent.

[0053] In this embodiment of the application, the first process may be that the digital process can automatically determine whether the adaptation capability is running at full capacity. If it is running at full capacity, then the backup process is activated.

[0054] Furthermore, based on the intelligent automated process tool for sending relay protection fault information, by retrieving the heartbeat data table in the database in real time, when multiple relay devices issue warnings, the tool detects the number of newly generated fault information. When there are more than 4 records, it automatically deploys the backup process to take over, thus enabling the fault information to be sent to the work group in a timely manner when multiple relay devices issue warnings at the same time.

[0055] In an optional embodiment, the first process may further include AI model training and deployment, training an AI model to predict system load, and deploying it in a real-time monitoring system. Specifically, this includes A1 to A4:

[0056] A1. Select a suitable AI model, such as a time series model (e.g., LSTM, ARIMA) to predict task growth trends, or a classification model (e.g., random forest, logistic regression).

[0057] A2 is used to determine if overload will occur. The model is trained using historical data to verify its accuracy and robustness. The trained model is then deployed in a real-time monitoring system, connected to the real-time data stream.

[0058] A3 predicts future load conditions based on real-time data and AI models. The model receives real-time input data streams (such as the number of tasks, device status, task growth rate, etc.).

[0059] A4, based on the input data, predict the system load for a future period: whether it exceeds the set load threshold. Provide a specific prediction of the overload time point. Output the prediction result, such as: the task growth rate is 10 in the next minute. Current processing capacity is expected to be insufficient, with an overload probability of 85%. Before the overload occurs, preemptively offload tasks to backup processes to ensure system stability.

[0060] It should be noted that by detecting load conditions (such as the number of tasks and processing capacity), the system automatically determines whether the adaptation capacity is running at full capacity and initiates backup processes to distribute tasks. This achieves dynamic load balancing of the system, and through the timely takeover of backup processes, it ensures that information transmission is not delayed when multiple devices issue warnings simultaneously.

[0061] S4: Handle exceptions through the second process.

[0062] Furthermore, the anomaly handling includes periodically checking the heartbeat data table in the database. When the threshold is exceeded, the automated process automatically attempts to recover. If recovery fails, a message is promptly sent via communication software to remind the user, and a backup process is activated to take over the warning process.

[0063] In this embodiment, the second process can be an automated process anomaly handling mechanism. Based on the intelligent transmission automated process tool for relay protection fault information, the system checks the heartbeat data table in the database every 10 seconds. When a 30-second timeout occurs, the automated process automatically attempts to recover. If recovery fails, a message is promptly sent via ELINK communication software to remind the user, and a backup process is activated to take over the early warning work, thereby achieving a disaster recovery effect.

[0064] It should be noted that the process exception handling mechanism refers to the ability to automatically detect and attempt to resume operation when the process is stuck or interrupted, supporting breakpoint continuation until the task is completed. This mechanism can effectively address the problem of insufficient adaptability in complex business processes, improve the overall stability of the system through disaster recovery design, and is especially important when multiple devices are involved in collaboration.

[0065] Example 3 is an embodiment of the present invention, which provides an automated process method based on intelligent transmission of relay protection fault information. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiment.

[0066] First, this embodiment uses the operating status of relay protection equipment in a power system as a background to test the performance, efficiency, and stability of an automated process tool based on intelligent transmission of relay protection fault information under different load and fault scenarios. The experimental environment includes:

[0067] Test equipment: Real-time remote operation and maintenance management platform (simulates real-time updates of fault data). Relay protection equipment simulator (provides real-time operating parameters). ELINK communication system (simulates fault information transmission).

[0068] System settings: The system operates 24 / 7 with uninterrupted monitoring. The database is configured to store fault records, heartbeat detection data, and transmission records.

[0069] Experimental metrics: Fault information collection efficiency, data transmission success rate, backup process response time, and anomaly handling recovery time.

[0070] During the experiment, three types of fault information were first generated using a simulator: single fault, multiple simultaneous faults, and abnormal equipment malfunction. The automated process tool was then programmed to execute the following steps:

[0071] The tool automatically logs into the operation and maintenance management platform, periodically scans "historical fault information", and retrieves the top 6 fault information entries sorted by end time.

[0072] The system compares historical database records to filter for unique fault information. It generates fault reports and waveform files from the filtered results and stores them locally. For information transmission and database updates: it automatically reads the group name variable from the configuration table and sends the report to the top-ranked ELINK group. For large batches of files, it uses a binary transmission mechanism, records the transmission status, and performs retransmissions.

[0073] Update the database with serial number, time, device information, fault report, and waveform file name. Adapt and handle exceptions, simultaneously simulating warning signals from five devices to test the backup process takeover capability. Simulate process stalls to observe the system's breakpoint continuation and disaster recovery performance.

[0074] Table 1 Experimental Data Recording Table

[0075]

[0076]

[0077] From the test data in Table 1 above, the following conclusions can be drawn: the average time for collecting data on a single fault is 2.1 seconds, for multiple faults it is 3.7 seconds, and it extends to 4.2 seconds in the case of abnormal equipment malfunction. Compared with the average time of 10 seconds for traditional manual operation (data from a case study of a power company), the efficiency of the automated process is improved by about 3-5 times.

[0078] Under stable conditions, the transmission success rate remains above 98%. Even with device lag, the success rate remains above 92% thanks to the optimized binary file transfer and retransmission mechanisms, demonstrating that the optimized transmission mechanism of this invention significantly improves reliability in complex scenarios.

[0079] Example 4, an embodiment of the present invention, provides an automated process system based on intelligent transmission of relay protection fault information, including a real-time login to a remote operation and maintenance management platform, an intelligent information transmission module, a database recording module, and a process scheduling module;

[0080] The real-time login remote operation and maintenance management platform is used for real-time data monitoring and capturing real-time data of relay equipment.

[0081] The intelligent information sending module sends the fault report and waveform recording file to the ELINK group according to the work group name specified in the process configuration table, and updates the database with the sending result;

[0082] The database recording module records complete information for each fault, including serial number, fault time, equipment name, report and waveform file name, and sent content; it automatically updates the ledger data to ensure data integrity and traceability.

[0083] The process scheduling module uses an automated process tool based on relay protection fault information to determine whether the system is operating at full load. When an anomaly occurs, it attempts to restore the operation. If restoration fails, it activates a backup process and sends a reminder.

[0084] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium 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 of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0085] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0086] More specific examples (a non-exhaustive list) of computer-readable media include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0087] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc. It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

[0088] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. An automated process method based on intelligent transmission of relay protection fault information, characterized in that, include: Fault information is collected through the first device; Perform the first action to confirm, and then add the fault information to the database. The first step is to determine the equipment's operating status; Exception handling is performed through a second process; The collection of fault information through the first device includes monitoring whether there is any latest relay equipment fault information through the first device; The confirmation process for performing the first action includes determining whether the fault information is repeated and determining the transmission status. Adding fault information to the database includes sending a fault report, a fault waveform file, and adding fault information to the database. The determination of equipment operating status includes automatically determining whether the adaptability is operating at full capacity. The method for determining the operating status of the equipment also includes activating the backup process when the equipment is operating at full load, automatically dispatching the backup process to take over, using multiple relay devices to issue warnings simultaneously, and sending fault information in a timely manner to the maximum extent possible. The anomaly handling includes periodically checking the heartbeat data table in the database. When the threshold is exceeded, the automated process automatically attempts to recover. If recovery fails, a message is sent to remind the user via communication software, and a backup process is activated to take over the warning work. Send the fault report, fault waveform file and fault information to the ELINK pinned group, and check whether the sending was successful. If the sending is successful, add the fault information to the database. By reading the work group name from the process configuration table and storing it in a variable, the process automation tool selects the work group name in the variable through ELINK operation, sends the fault report and waveform recording file of the relay equipment to the work group for early warning, and records the sending result in the database. When the sending fails, the field is_send equals "0", and the process will resend. File sending is optimized. When there are a large number of fault reports and waveform recordings, the automated process uses binary file reading to send files, eliminating the need to open and send files each time. Judging the equipment's operating status includes automatically determining whether the adaptability is operating at full load. If it is operating at full load, the backup process is activated, the backup process is automatically dispatched to take over, and multiple relay devices are used to issue warnings simultaneously to send fault information in a timely manner to the maximum extent. Based on the intelligent transmission automation process tool for relay protection fault information, the tool retrieves the heartbeat data table in the database in real time. When multiple relay equipment warnings occur, the tool detects the number of newly generated fault information. When there are more than 4 records, it automatically activates the backup process to take over. Anomaly handling includes periodically checking the heartbeat data table in the database. When the threshold is exceeded, the automated process automatically attempts to recover. If recovery fails, a message is sent to remind the user via communication software, and a backup process is activated to take over the warning work. The second process is an automated process anomaly handling mechanism. Based on the relay protection fault information intelligently sending automated process tools, the heartbeat data table in the database is checked every 10 seconds. When a timeout of 30 seconds occurs, the automated process automatically attempts to recover. If the recovery fails, a message is sent in a timely manner through the ELINK communication software to remind the user and the backup process is activated to take over the early warning work. The process exception handling mechanism refers to the ability to automatically detect and attempt to resume operation when the process is stuck or interrupted, supporting breakpoint continuation until the task is completed.

2. A system employing the automated process method for intelligent transmission of relay protection fault information as described in claim 1, characterized in that: This includes a real-time login remote operation and maintenance management platform, an intelligent information sending module, a database recording module, and a process scheduling module; The real-time login remote operation and maintenance management platform is used for real-time data monitoring and capturing real-time data of relay equipment; The intelligent information sending module sends the fault report and waveform recording file to the ELINK group according to the work group name specified in the process configuration table, and updates the database with the sending result; The database recording module records complete information for each fault, including serial number, fault time, device name, report and waveform file name, and sent content; Automatically update ledger data to ensure data integrity and traceability; The process scheduling module uses an automated process tool based on relay protection fault information to determine whether the system is operating at full load. When an anomaly occurs, it attempts to restore the operation. If restoration fails, it activates a backup process and sends a reminder.

3. A computer 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 automated process method based on intelligent transmission of relay protection fault information as described in claim 1.

4. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the automated process method based on intelligent transmission of relay protection fault information as described in claim 1.

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