Automatic process method and system based on intelligent transmission of relay protection fault information

Abstract

The invention discloses an automatic process method and system based on relay protection fault information intelligent sending, and relates to the technical field of electric power safety engineering, and the method comprises the steps: collecting fault information through a first device; executing the first action to confirm, and adding the fault information into a database after the first action is completed; judging the operation condition of the equipment through the first process; and performing exception processing through the second process. The automatic process method based on relay protection fault information intelligent sending has the advantages that work is completed efficiently instead of manual work, effectiveness of work completion is guaranteed, manual repeated work is greatly reduced, errors caused by human factors are avoided, working efficiency is improved, and meanwhile labor cost is reduced. The social benefits are as follows: the development of an automatic process tool for intelligent analysis, diagnosis, early warning and sending of relay protection faults is beneficial to improving the reliability of a power system, reducing the fault influence, improving the operation and maintenance efficiency, promoting intelligent transformation and meeting safety supervision requirements.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power safety engineering, and in particular to an automated process method and system based on intelligent transmission of relay protection fault information. Background Art

[0002] In the power industry, relay protection equipment is a key component to ensure the stable operation and safety warning of the power system. When these devices detect anomalies or faults in the power system, they can take quick action, such as cutting off the faulty part, to prevent the fault from spreading and protect the integrity of the entire system. Although power companies have taken a variety of measures such as arranging on-duty personnel for full-time monitoring, safety risks still exist due to the complexity and diversity of power system indicator data. At present, traditional manual monitoring mainly relies on manual experience and historical data analysis experience. This method is difficult to fully and timely identify and prevent potential safety hazards, and it is difficult to achieve 100% accuracy. Therefore, how to effectively improve the timeliness and accuracy of fault warnings and information reminders of power relay protection equipment is the key to ensuring the stable operation of power relay protection equipment. At present, there are mainly the following problems: Reaction speed: Manual warnings require a certain amount of time to analyze and judge fault information, which may lead to insufficient early warning response. Human factors: Manual warnings are easily affected by human factors, such as fatigue, negligence, etc., which may lead to early warning errors or omissions. High cost: Manual warnings require a lot of human resources and time costs, which increases the operating costs of enterprises.

[0003] With the rapid development of process automation technology, it has also been widely used in the power field, realizing the automation and intelligent upgrade of business processes, improving work efficiency and accuracy, and reducing operating costs and human errors. However, there are still some details to be improved in the existing developed automation processes, as follows: Unreasonable process design: If the automation process design is unreasonable or lacks standardized operations, it may lead to poor automation effects or additional maintenance costs. For example, some parameters need to be modified in the process due to business needs. System stability and fault tolerance: The normal operation of the automation process depends on a stable IT environment. If the system or network fails, it may cause task execution to be interrupted or fail, thereby affecting the timeliness and accuracy of fault warning. In addition, its fault tolerance in the face of abnormal situations is also limited, and it may not be able to effectively respond to sudden failures or errors. Insufficient adaptation capabilities for complex business processes: Fault warnings for power relay protection equipment involve multiple links and business operations across systems. If the business is complex or the business process adaptation capabilities are 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 reminders of 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 the present invention is: how to improve the timeliness and accuracy of fault information reminder of electric power relay protection equipment and ensure the stable operation of electric power relay protection equipment.

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

[0008] collecting fault information through the first device;

[0009] Execute the first action to confirm, and add the fault information to the database after completion;

[0010] Determine the equipment operation status through the first process;

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

[0012] As a preferred solution of the automated process method based on intelligent transmission of relay protection fault information described in the present invention, wherein: the collection of fault information through the first device includes monitoring whether there is the latest relay device fault information through the first device.

[0013] As a preferred solution of the automated process method based on intelligent sending of relay protection fault information described in the present invention, wherein: the execution of the first action for confirmation includes determining whether the fault information is repeated and determining the sending status.

[0014] As a preferred solution of the automated process method based on intelligent sending of relay protection fault information described in the present invention, wherein: the adding of fault information to the database includes sending a fault report, a fault recording file, and adding the fault information to the database.

[0015] As a preferred solution of the automated process method based on intelligent transmission of relay protection fault information described in the present invention, wherein: the judgment of the equipment operating status includes automatically judging whether the adaptation capacity is running at full load.

[0016] As a preferred solution of the automated process method based on intelligent sending of relay protection fault information described in the present invention, wherein: the judgment of the equipment operating status also includes, when running at full load, enabling the standby process to run, automatically adjusting the standby process to take over, using multiple relay devices to issue warnings at the same time, and sending fault information in a timely manner to the maximum extent.

[0017] As a preferred solution of the automated process method based on intelligent sending of relay protection fault information described in the present invention, the exception handling includes detecting the heartbeat data table in the database at regular intervals. When the threshold is exceeded, the automated process automatically attempts to restore the operation. If the recovery fails, a message is sent in time through the communication software to remind, and a backup process is enabled to take over the early warning work.

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

[0019] The real-time login remote operation and maintenance control 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 the 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 the complete information of each fault, including serial number, fault time, equipment name, report and waveform file name, and sent content; 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 intelligently send information to determine whether the system is running at full capacity. When an abnormality occurs, it attempts to restore the operation. If it cannot be restored, it activates the backup process and sends a reminder.

[0023] A computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of an automated process method based on intelligent transmission of relay protection fault information.

[0024] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of an automated process method based on intelligent transmission of relay protection fault information.

[0025] Beneficial effects of the invention: The automated process method based on intelligent transmission of relay protection fault information provided by the invention has economic benefits: It replaces manual work to complete work efficiently, which not only ensures the effectiveness of work completion, but also greatly reduces manual repetitive work, avoids errors caused by human factors, improves work efficiency and reduces labor costs. Social benefits: The development of automated process tools for intelligent analysis, diagnosis, early warning and transmission of relay protection faults helps to improve the reliability of the power system, reduce the impact of faults, improve operation and maintenance efficiency, promote intelligent transformation and meet safety supervision requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0027] Figure 1 An overall flow chart of an automated process method based on intelligent transmission of relay protection fault information provided in the first embodiment of the present invention.

[0028] Figure 2 A program flow chart of an automated process method based on intelligent transmission of relay protection fault information provided in the first embodiment of the present invention.

[0029] Figure 3 A business flow chart of an automated process method based on intelligent transmission of relay protection fault information provided in the first embodiment of the present invention. DETAILED DESCRIPTION

[0030] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0031] Example 1, reference Figure 1-Figure 3 , which is an embodiment of the present invention, provides an automated process method based on intelligent transmission of relay protection fault information, including:

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

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

[0034] Furthermore, collecting fault information through the first device includes monitoring whether there is the latest relay device fault information through the first device. Working 24 / 7, while improving efficiency, reduces the human error rate to the greatest extent.

[0035] Furthermore, the log recording mechanism records the operation results of each piece of data, the number of work orders processed, etc. The historical operation recording mechanism saves the operation results and data to the history folder for backup after the process is completed, which is convenient for historical record search. The system stability and fault tolerance issues, the exception handling mechanism, when the process is running, due to business system jams and other reasons, the process can automatically detect and resume operation, support breakpoint continuation, until the process is completed. Solve the problem of insufficient adaptability of complex business processes.

[0036] In an optional embodiment, an integrated monitoring and collection system is constructed through the Internet of Things platform to connect the scattered relay devices with the central management system (first device) to realize data collection, transmission, analysis and storage. The relay device collects operating data in real time through built-in sensors (such as current, voltage, temperature, humidity and other monitors). The data is transmitted to the cloud platform through the Internet of Things gateway. The gateway supports multiple communication protocols (such as LoRa, NB-IoT, Wi-Fi, 4G / 5G, etc.) to achieve seamless connection of different devices. The cloud platform analyzes the collected data and extracts abnormal status as fault information. The fault information is stored in the database in real time and interacts with the first device.

[0037] It should be noted that the first device is the core component of fault information collection, and its characteristics determine the monitoring efficiency and reliability of the system. The devices explicitly listed in the present invention have the ability to work continuously 24 hours a day, 7 days a week, which can reduce errors caused by manual intervention, and improve the traceability of the system through log recording and historical operation record functions.

[0038] S2: Execute the first action to confirm, and add the fault information to the database after completion.

[0039] In the embodiment of the present application, the performing of the first action to confirm includes: Figure 2 As shown, determine whether the fault information is repeated and determine the sending status. Specifically:

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

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

[0042] Step 3, automatically log in to the remote operation and maintenance control platform to obtain real-time data of the relay equipment. By selecting the conditions of "Fault Analysis-Intelligent Diagnosis-Historical Fault Information" and the end time, the first 6 relay equipment fault information data retrieved will be compared with the historical records in the database. If there is no duplicate fault information record, the fault report and recording file of the relay equipment will be exported and stored in the specified location of the computer.

[0043] In an optional embodiment, executing the first action for confirmation can also be based on the confirmation method of edge computing, deploying edge computing nodes on the device side to realize local processing and confirmation of data. The edge node monitors the operating status of the device in real time, collects and preliminarily processes fault information. The edge node determines whether the fault information is repeated with the historical data cached locally. If a new fault is confirmed, the fault information and the recording file are uploaded to the central server for storage and trigger subsequent operations.

[0044] Furthermore, the adding of the fault information to the database includes: Figure 3 As shown, send the fault report, fault recording file, and fault information to the database. Record the relevant data and information and enter them into the ledger. The automated process tool based on the intelligent sending of relay protection fault information can realize the functions of data capture, processing, recording, and ledger update. The recorded ledger information includes serial number, fault time, fault equipment, fault information report name, waveform file name, and sending information.

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

[0046] Furthermore, by reading the work group name in the process configuration table and storing it in a variable, the process automation tool operates ELINK, selects the work group name in the variable, and sends the fault report and recording file of the relay equipment to the work group for early warning. The sending result is recorded in the database. If the sending is not successful, the field is_send is equal to "0" and the process will be resent.

[0047] Furthermore, file sending is optimized here. When there are a large number of fault reports and recording files, the automated process uses binary file reading to send files. There is no need to open and send files each time, which improves sending efficiency and saves file sending time.

[0048] Furthermore, the content of the information sent is as follows: XXXX year X month X day X hour X minute X second X millisecond XKV Feilong transformer #1 main transformer has a transformer fault. Fault range: XXXX, fault nature: XXX, fault phase: XXX, reclosing action (no action), fault distance: XXX, fault current: XXX, fault duration: XXXX. The red part is the read and modified part.

[0049] It should be noted that the logging mechanism can accurately capture the results of each operation, which is convenient for subsequent analysis; the history recording mechanism supports the tracking and analysis of complex faults, which is especially suitable for long-term monitoring scenarios. Compared with existing technologies, this function greatly enhances the stability and fault tolerance of the system.

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

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

[0052] Furthermore, the determination of the equipment operating status includes automatically determining whether the adaptation capacity is running at full load. When running at full load, the standby process is enabled to run, the standby process is automatically adjusted to take over, and multiple relay devices are used to issue warnings at the same time to maximize the timely sending of fault information.

[0053] In an embodiment of the present application, the first process may be that the digital process can automatically determine whether the adaptation capacity is running at full load. If it is running at full load, the backup process is enabled to run.

[0054] Furthermore, based on the intelligent sending automation process tool of relay protection fault information, the heartbeat data table in the database is retrieved in real time. When multiple relay devices warn of the problem, the tool detects the number of newly generated fault information. When it is greater than 4 records, it automatically allocates the backup process to take over. When multiple relay devices warn of the problem at the same time, the fault information can be sent to the work group in a timely manner for warning to the greatest extent possible.

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

[0056] A1, select the appropriate AI model, time series model (such as LSTM, ARIMA), to predict the growth trend of the task. Classification model (such as random forest, logistic regression).

[0057] A2 is used to determine whether overload will occur. Use historical data to train the model and verify the accuracy and robustness of the model. Deploy the trained model in the real-time monitoring system and connect to the real-time data stream.

[0058] A3, predict future load conditions based on real-time data and AI models. The model receives real-time input data streams (such as task quantity, equipment status, task growth rate, etc.).

[0059] A4, based on the input data, predict the system load for a period of time in the future: whether it exceeds the set load threshold. Specific prediction of the overload time point. Output the prediction results, such as: the task growth in the next 1 minute is 10. The current processing capacity is expected to be insufficient, and the overload probability is 85%. Before the overload occurs, divert tasks to the backup process in advance to ensure system stability.

[0060] It should be noted that by detecting the load situation (such as the number of tasks and processing capacity), it automatically determines whether the adaptation capacity is running at full capacity and starts the backup process to share the task. The dynamic load balancing of the system is achieved, and the timely takeover of the backup process ensures that the information transmission is not delayed when multiple devices are warned at the same time.

[0061] S4: Perform exception handling through the second process.

[0062] Furthermore, the exception handling includes detecting the heartbeat data table in the database at regular intervals. When the threshold is exceeded, the automated process automatically attempts to restore the operation. If the recovery fails, a message is sent in a timely manner through the communication software to remind you, and a backup process is enabled to take over the early warning work.

[0063] In the embodiment of the present application, the second process may be an automated process exception handling mechanism. Based on the intelligent sending of relay protection fault information, the automated process tool detects the heartbeat data table in the database every 10 seconds. When a timeout of 30 seconds occurs, the automated process automatically attempts to restore the operation. If the recovery fails, a message is sent in time through the ELINK communication software to remind, and the backup process is enabled to take over the early warning work, thereby achieving the effect of disaster recovery.

[0064] It should be noted that the process exception handling mechanism refers to the process being able to automatically detect and attempt to resume operation when the process is stuck or interrupted, and support breakpoint continuation until the task is completed. This mechanism can effectively deal with the problem of insufficient adaptability in complex business processes, and improve the overall stability of the system through disaster recovery design, which is especially important when it involves multi-device collaboration.

[0065] Example 3 is an embodiment of the present invention, which provides an automated process method based on the intelligent sending 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 experiments.

[0066] First, this example uses the operating status of relay protection equipment in a power system as the background to test the performance, efficiency and stability of the 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 update of fault data). Relay protection equipment simulator (provides real-time operation parameters). ELINK communication system (simulates fault information transmission).

[0068] System settings: The system runs 7×24 hours of uninterrupted monitoring. The database configuration is used to store fault records, heartbeat detection data and sending records.

[0069] Experimental indicators: fault information collection efficiency, data transmission success rate, backup process response time, and exception processing recovery time.

[0070] During the experiment, the simulator was used to generate three types of fault information: single fault, multi-point simultaneous fault, and abnormal equipment freeze. The automated process tool was set to execute the following steps:

[0071] The tool automatically logs into the operation and maintenance management platform, periodically scans the "historical fault information", and retrieves the first 6 fault information in order of end time.

[0072] Compare the database history records and filter out the non-repeated fault information. Generate fault reports and waveform recording files for the screening results and store them locally. Information transmission and database update: Automatically read the group name variable in the configuration table and send the report to the ELINK top group. Use binary transmission mechanism for large batch files, record the transmission status and resend.

[0073] Update the serial number, time, device information, fault report, waveform file name, etc. to the database. Adapt and handle exceptions, simulate warning signals of 5 devices at the same time, and test the backup process takeover capability. Simulate process jams and observe the system's breakpoint continuation and disaster recovery performance.

[0074] Table 1 Test data record table

[0075]

[0076]

[0077] From the test data in Table 1 above, we can draw the following conclusions: the average collection time for a single fault is 2.1 seconds, for multiple faults it is 3.7 seconds, and for equipment abnormalities it is extended to 4.2 seconds. Compared with the average time of 10 seconds for traditional manual operation (data from a case analysis of a power company), the efficiency of the automated process has increased by about 3-5 times.

[0078] In the absence of lag, the sending success rate remains above 98%. In the case of device lag, the success rate is still maintained above 92% through the optimized binary file transmission mechanism and retransmission mechanism, indicating that the optimized sending mechanism of the present invention significantly improves the reliability in complex scenarios.

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

[0080] The real-time login to the remote operation and maintenance control platform is used for real-time data monitoring and capturing real-time data of the relay equipment;

[0081] The intelligent information sending module sends the fault report and the 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 the complete information of each fault, including serial number, fault time, equipment name, report and waveform file name, and sent content; 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 intelligently send information to determine whether the system is running at full capacity. When an abnormality occurs, it attempts to restore the operation. If it cannot be restored, it activates the backup process and sends a reminder.

[0084] If the function is implemented in the form of 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 the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

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

[0086] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0087] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc. It should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and are not limited. Although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention, which should be included in 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 rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in 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: collecting fault information through the first device; Execute the first action to confirm, and add the fault information to the database after completion; Determine the equipment operation status through the first process; Exception handling is performed through the second process.

2. The automated process method based on intelligent transmission of relay protection fault information according to claim 1, characterized in that: The collecting fault information through the first device includes monitoring whether there is the latest relay device fault information through the first device.

3. The automated process method based on intelligent transmission of relay protection fault information according to claim 2, characterized in that: The executing the first action to confirm includes determining whether the fault information is repeated and determining the sending status.

4. The automated process method based on intelligent transmission of relay protection fault information according to claim 3, characterized in that: The adding of the fault information into the database includes sending a fault report, a fault recording file, and adding the fault information into the database.

5. The automated process method based on intelligent transmission of relay protection fault information according to claim 4, characterized in that: The determining of the equipment operating status includes automatically determining whether the adaptation capacity is operating at full load.

6. The automated process method based on intelligent transmission of relay protection fault information according to claim 5, characterized in that: The determination of the equipment operation status also includes, when the equipment is running at full load, enabling the standby process to run, automatically adjusting the standby 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.

7. The automated process method based on intelligent transmission of relay protection fault information according to claim 6, characterized in that: The exception handling includes checking the heartbeat data table in the database at regular intervals. When the threshold is exceeded, the automated process automatically attempts to restore the operation. If the recovery fails, a message is sent in a timely manner through the communication software to remind you, and a backup process is enabled to take over the early warning work.

8. A system using the automated process method based on intelligent transmission of relay protection fault information as claimed in any one of claims 1 to 7, characterized in that: Including real-time login remote operation and maintenance control platform, intelligent information sending module, database recording module, and process scheduling module; The real-time login remote operation and maintenance control 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 the 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 the complete information of each fault, including serial number, fault time, equipment name, report and waveform file name, and sending 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 intelligently send information to determine whether the system is running at full capacity. When an abnormality occurs, it attempts to restore the operation. If it cannot be restored, it activates the backup process and sends a reminder.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the automated process method based on intelligent transmission of relay protection fault information described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the automated process method based on intelligent transmission of relay protection fault information described in any one of claims 1 to 7 are implemented.

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