Relay protection alarm self-diagnosis method and system

Abstract

This invention relates to a self-diagnostic method and system for relay protection alarms, comprising: acquiring the upper-level mapping relationship between each relay protection device and multiple abnormal alarms; acquiring the middle-level mapping relationship between each abnormal alarm and multiple fault causes; acquiring the lower-level mapping relationship between each fault cause and multiple handling measures; determining the plug-in mapping relationship between each abnormal alarm and the impact range of plug-ins; determining the interlocking mapping relationship between each abnormal alarm and interlocking types; and establishing alarm templates for each relay protection device. When a self-diagnosis detects an abnormality in a relay protection device, an abnormal alarm is sent to the dispatching terminal. The dispatching terminal obtains the alarm template based on the abnormal alarm and the relay protection device that issued the alarm, and retrieves the alarm big data model based on the alarm template and the abnormal alarm to obtain the fault cause, handling measures, fault plug-ins, and interlocking type. In this invention, when an abnormal alarm is detected, the dispatching terminal uses the alarm template to retrieve the alarm big data model to trace the alarm cause and handling measures.

Description

Technical Field

[0001] This invention belongs to the field of relay protection defect diagnosis technology, specifically, it relates to a self-diagnosis method and system for relay protection alarms. Background Technology

[0002] In existing technologies, alarm tracing methods for relay protection defect diagnosis include: acquiring the SCD file of the substation and alarm information of the relay protection alarm devices; generating at least one tag corresponding to the Petri network for alarm tracing based on the alarm information, and designating the alarm device as the first location in the Petri network; for each tag, retrieving optical circuit transitions, electrical circuit transitions, and locations from the first location based on the SCD file; generating a Petri network based on the optical circuit transitions, locations, and electrical circuit transitions of all tags, and further retrieving and identifying the source devices and backup devices of the alarm device. These existing technologies lay a solid foundation for further instantiation of the knowledge graph for relay protection defect diagnosis and automatic defect diagnosis, providing strong support for rapid and timely handling of relay protection defects and ensuring the safe and stable operation of the power grid. However, the existing technology only realizes the source tracing of optical circuit alarms in smart substations, and lacks a dedicated self-diagnostic technology for alarms of relay protection equipment. The existing technology either focuses on one type of device or is limited by the version of the device, and is insufficient in terms of the scope and breadth of handling alarm cause analysis, fault location, and impact range. There is a lack of unified alarm self-diagnostic technology and methods for relay protection equipment. Summary of the Invention

[0003] To address the shortcomings of existing technologies, this invention provides a method and system for self-diagnosis of relay protection alarms. When an abnormal alarm is detected, the dispatching terminal can use the alarm template to retrieve the alarm big data model, thereby tracing the cause and scope of alarm impact, identifying one or more modules related to the scope of alarm impact, and providing handling measures for the abnormal alarm to achieve self-diagnosis of relay protection alarms.

[0004] The present invention adopts the following technical solution.

[0005] This invention proposes a self-diagnostic method for relay protection alarms, comprising:

[0006] Obtain the upper-level mapping relationship between each relay protection device and its corresponding multiple abnormal alarms, obtain the middle-level mapping relationship between each abnormal alarm and its corresponding multiple fault causes, and obtain the lower-level mapping relationship between each fault cause and its corresponding multiple handling measures;

[0007] Obtain the plug-in ledger and plug-in electrical diagram of each relay protection device to determine the plug-in mapping relationship between each abnormal alarm and the corresponding plug-in impact range; obtain the interlocking electrical diagram and interlocking logic diagram of each relay protection device to determine the interlocking mapping relationship between each abnormal alarm and the corresponding interlocking type.

[0008] Based on the obtained upper-level mapping relationship, middle-level mapping relationship, lower-level mapping relationship, plug-in mapping relationship and interlocking mapping relationship, alarm templates for each relay protection device are established.

[0009] Establish an alarm big data model, including: each relay protection device, multiple abnormal alarms corresponding to each relay protection device, upper-level mapping relationship between each relay protection device and its corresponding multiple abnormal alarms, multiple fault causes corresponding to each abnormal alarm, middle-level mapping relationship between each abnormal alarm and its corresponding multiple fault causes, multiple handling measures corresponding to each fault cause, lower-level mapping relationship between each fault cause and its corresponding multiple handling measures, plug-in ledger and plug-in electrical diagram of each relay protection device, plug-in mapping relationship between each abnormal alarm and its corresponding plug-in impact range, interlocking electrical diagram and interlocking logic diagram of each relay protection device, and interlocking mapping relationship between each abnormal alarm and its corresponding interlocking type;

[0010] The relay protection equipment performs a self-test; when the self-test detects an abnormality in the relay protection equipment, it sends an abnormal alarm to the dispatch terminal; the dispatch terminal obtains the alarm template based on the abnormal alarm and the relay protection equipment that issued the alarm, and retrieves the alarm big data model based on the alarm template and the abnormal alarm to obtain the cause of the fault, handling measures, fault plug-in, and interlocking type.

[0011] Preferably, the plug-in ledger for relay protection equipment is made by adding date, version, and serial number to the plug-in template, and modifying the plug-in template according to the actual plug-in installation situation.

[0012] Preferably, the plug-in modules of the relay protection device include: AC plug-in, CPU plug-in, input plug-in, output plug-in, human-machine interface plug-in, and power supply plug-in; there is a corresponding relationship between the plug-in and each functional module in the relay protection device; when a functional module has a defect, the relay protection device issues an abnormal alarm, and the faulty plug-in corresponding to the defect of the functional module constitutes the plug-in influence range of the abnormal alarm.

[0013] Preferably, based on the plug-in ledger and plug-in electrical diagram of each relay protection device, and according to the set drawing template, a plug-in schematic diagram representing the number and model of plug-ins and the electrical connection between each plug-in is obtained. Based on the plug-in schematic diagram, the impact range of the plug-in for abnormal alarms is determined.

[0014] Based on the plugin mapping relationship between abnormal alarms and the corresponding plugin impact range, faulty plugins and their handling measures are located according to the abnormal alarms.

[0015] Preferably, the interlocking of relay protection equipment includes: hardware interlocking and logic interlocking; the interlocking type corresponding to the abnormal alarm is determined according to the interlocking electrical diagram and interlocking logic diagram of each relay protection device;

[0016] Based on the locking mapping relationship between abnormal alarms and corresponding locking types, the locking type is located according to the abnormal alarm.

[0017] Preferably, the dispatch terminal obtains the alarm template based on the abnormal alarm and the relay protection device that issued the alarm, and performs a self-verification of whether the relay protection device's self-test is correct based on the upper-level mapping relationship;

[0018] After the self-verification is passed, the scheduling end compares the intermediate mapping relationship between each abnormal alarm stored in the alarm big data model and the corresponding multiple fault causes according to the intermediate mapping relationship in the alarm template. When the comparison results are consistent, the scheduling end retrieves the alarm big data model according to the abnormal alarm and the intermediate mapping relationship to determine the multiple fault causes corresponding to the abnormal alarm.

[0019] The dispatcher compares the lower-level mapping relationship in the alarm template with the lower-level mapping relationship between each fault cause and the corresponding multiple handling measures stored in the alarm big data model. When the comparison results are consistent, the dispatcher retrieves the alarm big data model based on the determined fault cause and the lower-level mapping relationship to determine the multiple handling measures corresponding to the fault cause.

[0020] Preferably, the dispatch terminal determines the faulty plug-in from the plug-in ledger and plug-in electrical diagram of each relay protection device stored in the alarm big data model based on the plug-in mapping relationship of the abnormal alarm, and proposes handling measures for the faulty plug-in.

[0021] Based on the interlocking mapping relationship of abnormal alarms, the dispatch terminal determines the interlocking type from the interlocking electrical diagrams and interlocking logic diagrams of each relay protection device stored in the alarm big data model, and sends an interlocking warning signal to the remote operation and maintenance department.

[0022] This invention also proposes a self-diagnostic system for relay protection alarms, comprising:

[0023] The alarm template creation module is used to obtain the upper-level mapping relationship between each relay protection device and its corresponding multiple abnormal alarms, the middle-level mapping relationship between each abnormal alarm and its corresponding multiple fault causes, and the lower-level mapping relationship between each fault cause and its corresponding multiple handling measures; obtain the plug-in ledger and plug-in electrical diagram of each relay protection device to determine the plug-in mapping relationship between each abnormal alarm and the corresponding plug-in impact range; obtain the interlocking electrical diagram and interlocking logic diagram of each relay protection device to determine the interlocking mapping relationship between each abnormal alarm and the corresponding interlocking type; and create alarm templates for each relay protection device based on the obtained upper-level mapping relationship, middle-level mapping relationship, lower-level mapping relationship, plug-in mapping relationship, and interlocking mapping relationship.

[0024] The alarm big data model building module is used to build alarm big data models, including: each relay protection device, multiple abnormal alarms corresponding to each relay protection device, the upper-level mapping relationship between each relay protection device and its corresponding multiple abnormal alarms, multiple fault causes corresponding to each abnormal alarm, the middle-level mapping relationship between each abnormal alarm and its corresponding multiple fault causes, multiple handling measures corresponding to each fault cause, the lower-level mapping relationship between each fault cause and its corresponding multiple handling measures, the plug-in ledger and plug-in electrical diagram of each relay protection device, the plug-in mapping relationship between each abnormal alarm and its corresponding plug-in impact range, the interlocking electrical diagram and interlocking logic diagram of each relay protection device, and the interlocking mapping relationship between each abnormal alarm and its corresponding interlocking type.

[0025] The relay protection alarm self-diagnosis module is used for relay protection equipment to perform self-tests. When the self-test detects an abnormality in the relay protection equipment, it sends an abnormal alarm to the dispatch terminal. The dispatch terminal obtains the alarm template based on the abnormal alarm and the relay protection equipment that issued the alarm, and retrieves the alarm big data model based on the alarm template and the abnormal alarm to obtain the fault cause, handling measures, fault plug-in, and interlocking type.

[0026] The present invention is also a terminal, including a processor and a storage medium; the storage medium is used to store instructions; the processor is used to perform operations according to the instructions to execute the steps of the method.

[0027] The present invention is also a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method.

[0028] The beneficial effects of this invention are as follows, compared with the prior art, at least including the following: the method proposed in this invention introduces big data of alarm information to quickly determine specific alarm details and handling measures; introduces the alarm impact range to quickly determine faulty plug-ins and protection lockout types, thereby improving remote operation and maintenance security; and introduces alarm location to quickly locate specific plug-ins and quickly provide handling measures. Attached Figure Description

[0029] Figure 1 This is a flowchart of the self-diagnosis method for relay protection alarms proposed in this invention;

[0030] Figure 2 This is a diagram showing the relay protection alarm self-diagnosis interface in an embodiment of the present invention. Detailed Implementation

[0031] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of this invention. The embodiments described in this application are merely some embodiments of this invention, and not all embodiments. Based on the spirit of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the protection scope of this invention.

[0032] This invention proposes a self-diagnostic method for relay protection alarms, such as... Figure 1 As shown, it includes:

[0033] Step 1: Obtain the upper-level mapping relationship between each relay protection device and its corresponding multiple abnormal alarms; obtain the middle-level mapping relationship between each abnormal alarm and its corresponding multiple fault causes; and obtain the lower-level mapping relationship between each fault cause and its corresponding multiple handling measures.

[0034] Specifically, considering the overall efficiency of alarm self-diagnosis of relay protection equipment, one relay protection device corresponds to one alarm template. Instead of storing various alarm data in the alarm template, multiple mapping relationships are established in layers within the alarm template. The upper-layer mapping relationship enables the location of abnormal alarms based on the relay protection device, and also enables the retrieval of relay protection devices based on abnormal alarms. The combination of the middle-layer and lower-layer mapping relationships enables the location of fault causes and handling measures based on abnormal alarms.

[0035] Step 2: Obtain the plug-in ledger and plug-in electrical diagram of each relay protection device to determine the plug-in mapping relationship between each abnormal alarm and the corresponding plug-in's impact range; obtain the interlocking electrical diagram and interlocking logic diagram of each relay protection device to determine the interlocking mapping relationship between each abnormal alarm and the corresponding interlocking type.

[0036] The plug-ins of relay protection equipment include: AC plug-in, CPU plug-in, input plug-in, output plug-in, human-machine interface plug-in, and power supply plug-in; there is a corresponding relationship between the plug-ins and the functional modules within the relay protection equipment; when a functional module has a defect, the relay protection equipment issues an abnormal alarm, and the faulty plug-in corresponding to the defect of the functional module constitutes the plug-in impact range of the abnormal alarm.

[0037] In this embodiment, a single abnormal alarm may affect multiple modules; therefore, the alarm template lists the modules affected by a single abnormal alarm. The module ledger for relay protection equipment established in actual engineering projects is an instantiation of the module template. This involves adding entity information such as date, version, and serial number to the module template and modifying it according to actual module installation conditions, such as missing modules or modules being swapped slots. In practical applications, based on the module ledger and electrical diagrams of each relay protection device, and according to the established drawing template, a module schematic diagram representing the quantity, model, and electrical connections between modules can be obtained. Based on this schematic diagram, even without establishing a module library, the scope of impact of an abnormal alarm on the affected modules can be determined.

[0038] Based on the plugin mapping relationship between abnormal alarms and the corresponding plugin impact range, faulty plugins and their handling measures are located according to the abnormal alarms.

[0039] Interlocking of relay protection equipment includes hardware interlocking and logic interlocking. In practical applications, the interlocking type corresponding to the abnormal alarm is determined according to the interlocking electrical diagram and interlocking logic diagram of each relay protection device.

[0040] Based on the locking mapping relationship between abnormal alarms and corresponding locking types, the locking type is located according to the abnormal alarm.

[0041] Step 3: Based on the obtained upper-level mapping relationship, middle-level mapping relationship, lower-level mapping relationship, plug-in mapping relationship and interlocking mapping relationship, establish alarm templates for each relay protection device.

[0042] Step 4: Establish an alarm big data model, including: each relay protection device, multiple abnormal alarms corresponding to each relay protection device, the upper-level mapping relationship between each relay protection device and its corresponding multiple abnormal alarms, multiple fault causes corresponding to each abnormal alarm, the middle-level mapping relationship between each abnormal alarm and its corresponding multiple fault causes, multiple handling measures corresponding to each fault cause, the lower-level mapping relationship between each fault cause and its corresponding multiple handling measures, the plug-in ledger and plug-in electrical diagram of each relay protection device, the plug-in mapping relationship between each abnormal alarm and its corresponding plug-in impact range, the interlocking electrical diagram and interlocking logic diagram of each relay protection device, and the interlocking mapping relationship between each abnormal alarm and its corresponding interlocking type.

[0043] Step 5: The relay protection equipment performs a self-test; when the self-test detects an abnormality in the relay protection equipment, it sends an abnormal alarm to the dispatch terminal; the dispatch terminal obtains the alarm template based on the abnormal alarm and the relay protection equipment that issued the alarm, and retrieves the alarm big data model based on the alarm template and the abnormal alarm to obtain the fault cause, handling measures, fault plug-in, and interlocking type.

[0044] Specifically, the dispatch terminal obtains alarm templates based on abnormal alarms and the relay protection devices that issued the alarms, and performs self-verification of whether the relay protection devices' self-tests are correct based on the existence of the upper-level mapping relationship.

[0045] Specifically, the scheduling end compares the intermediate mapping relationship between each abnormal alarm and the corresponding multiple fault causes stored in the alarm big data model according to the intermediate mapping relationship in the alarm template. When the comparison results are consistent, the scheduling end retrieves the alarm big data model according to the abnormal alarm and the intermediate mapping relationship to determine the multiple fault causes corresponding to the abnormal alarm.

[0046] Specifically, the dispatcher compares the lower-level mapping relationship between each fault cause and the corresponding multiple handling measures stored in the alarm big data model based on the lower-level mapping relationship in the alarm template. When the comparison results are consistent, the dispatcher retrieves the alarm big data model based on the determined fault cause and the lower-level mapping relationship to determine the multiple handling measures corresponding to the fault cause.

[0047] Specifically, the dispatch terminal determines the faulty plug-in from the plug-in ledger and plug-in electrical diagram of each relay protection device stored in the alarm big data model based on the plug-in mapping relationship of the abnormal alarm, and proposes handling measures for the faulty plug-in.

[0048] Specifically, the dispatch terminal determines the interlocking type from the interlocking electrical diagrams and interlocking logic diagrams of each relay protection device stored in the alarm big data model based on the interlocking mapping relationship of abnormal alarms, and sends an interlocking warning signal to the remote operation and maintenance department.

[0049] In this embodiment, the dispatch terminal displays the identified alarm relay protection devices, abnormal alarms, fault causes, handling measures, fault plug-ins, and interlocking types through a visual interface.

[0050] In the method proposed in this invention, to improve the efficiency of self-diagnosis and fully leverage the advantages of the big data model, only an alarm template is established that can characterize the mapping relationship between abnormal alarms, alarm causes, and handling measures, as well as the alarm impact range. When an abnormal alarm is received, the dispatcher can use this alarm template to retrieve the alarm big data model, thereby tracing the alarm cause and alarm impact range, identifying one or more plugins related to the alarm impact range, and providing handling measures suggestions for the abnormal alarm. At the dispatcher end, after receiving the abnormal alarm signal from the relay protection device, the corresponding plugin is located and displayed, showing the possible consequences (locked protection functions) and handling suggestions. The alarm template setting avoids the reduction of self-diagnosis efficiency due to massive data, while the alarm big data model can meet the need for continuously updating data such as alarm causes, alarm impact range, and alarm plugin location.

[0051] In the embodiments, such as Figure 2The alarm self-diagnosis interface shown on the dispatch terminal summarizes and organizes alarms, listing all alarms and their causes, measures, affected plug-ins, and lockout functions for each alarm. This is just the most basic display of the alarm diagnosis function, and its purpose is to assist users in evaluating and handling the device. Figure 2 In the alarm list on the left, the relay protection devices that have malfunctioned are arranged in order of alarm time and abnormal alarm level (from high to low). They are the relay protection devices of the #2 main transformer and the #1 main transformer. The abnormal level of the relay protection device is determined by the highest level of all its alarms. Clicking on the abnormal relay protection device displays the device information, diagnostic report, and plug-in status on the right. In this example, the relay protection device information for the #2 main transformer includes: control panel signal display diagram, device name, device signal, manufacturer, and commissioning time. The diagnostic report arranges each alarm information from high to low according to the abnormal alarm level, including: alarm, number of alarms, latest event, possible cause, and handling measures. The alarm is the specific situation of the abnormal alarm, such as SRAM error, input communication interruption, system configuration error, and failure to reset the transmission status. The number of alarms is the number of times the same abnormal alarm is recorded, such as the number of times the input communication interruption alarm is recorded. The latest time is the reception time of the latest abnormal alarm. For each abnormal alarm, the corresponding possible cause and handling measures are listed. The plug-in status includes the plug-in electrical diagram and handling measures. The plug-in electrical diagram also uses a conspicuous color to mark the plug-in impact range corresponding to the abnormal alarm.

[0052] This invention also proposes a self-diagnostic system for relay protection alarms, comprising:

[0053] The alarm template creation module is used to obtain the upper-level mapping relationship between each relay protection device and its corresponding multiple abnormal alarms, the middle-level mapping relationship between each abnormal alarm and its corresponding multiple fault causes, and the lower-level mapping relationship between each fault cause and its corresponding multiple handling measures; obtain the plug-in ledger and plug-in electrical diagram of each relay protection device to determine the plug-in mapping relationship between each abnormal alarm and the corresponding plug-in impact range; obtain the interlocking electrical diagram and interlocking logic diagram of each relay protection device to determine the interlocking mapping relationship between each abnormal alarm and the corresponding interlocking type; and create alarm templates for each relay protection device based on the obtained upper-level mapping relationship, middle-level mapping relationship, lower-level mapping relationship, plug-in mapping relationship, and interlocking mapping relationship.

[0054] The alarm big data model building module is used to build alarm big data models, including: each relay protection device, multiple abnormal alarms corresponding to each relay protection device, the upper-level mapping relationship between each relay protection device and its corresponding multiple abnormal alarms, multiple fault causes corresponding to each abnormal alarm, the middle-level mapping relationship between each abnormal alarm and its corresponding multiple fault causes, multiple handling measures corresponding to each fault cause, the lower-level mapping relationship between each fault cause and its corresponding multiple handling measures, the plug-in ledger and plug-in electrical diagram of each relay protection device, the plug-in mapping relationship between each abnormal alarm and its corresponding plug-in impact range, the interlocking electrical diagram and interlocking logic diagram of each relay protection device, and the interlocking mapping relationship between each abnormal alarm and its corresponding interlocking type.

[0055] The relay protection alarm self-diagnosis module is used for relay protection equipment to perform self-tests. When the self-test detects an abnormality in the relay protection equipment, it sends an abnormal alarm to the dispatch terminal. The dispatch terminal obtains the alarm template based on the abnormal alarm and the relay protection equipment that issued the alarm, and retrieves the alarm big data model based on the alarm template and the abnormal alarm to obtain the fault cause, handling measures, fault plug-in, and interlocking type.

[0056] This disclosure can be a system, method, and / or computer program product. A computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for causing a processor to implement various aspects of this disclosure.

[0057] Computer-readable storage media can be tangible devices capable of holding and storing instructions for use by an instruction execution device. Computer-readable storage media can be, for example—but not limited to—electrical storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory sticks, floppy disks, mechanical encoding devices, such as punch cards or recessed protrusions storing instructions thereon, and any suitable combination of the foregoing. The computer-readable storage media used herein are not to be construed as transient signals themselves, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., light pulses through fiber optic cables), or electrical signals transmitted through wires.

[0058] The computer-readable program instructions described herein can be downloaded from computer-readable storage media to various computing / processing devices, or downloaded via a network, such as the Internet, local area network, wide area network, and / or wireless network, to an external computer or external storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards them to the computer-readable storage media in the respective computing / processing device.

[0059] Computer program instructions used to perform the operations of this disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, status setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, electronic circuitry, such as programmable logic circuitry, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), is personalized by utilizing the status information of the computer-readable program instructions to implement various aspects of this disclosure.

[0060] 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 it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A self-diagnostic method for relay protection alarms, characterized in that, include: Obtain the upper-level mapping relationship between each relay protection device and its corresponding multiple abnormal alarms, obtain the middle-level mapping relationship between each abnormal alarm and its corresponding multiple fault causes, and obtain the lower-level mapping relationship between each fault cause and its corresponding multiple handling measures; Obtain the plug-in ledger and plug-in electrical diagram of each relay protection device to determine the plug-in mapping relationship between each abnormal alarm and the corresponding plug-in impact range; Obtain the interlocking electrical diagram and interlocking logic diagram of each relay protection device to determine the interlocking mapping relationship between each abnormal alarm and the corresponding interlocking type; Based on the obtained upper-level mapping relationship, middle-level mapping relationship, lower-level mapping relationship, plug-in mapping relationship and interlocking mapping relationship, alarm templates for each relay protection device are established. Establish an alarm big data model, including: each relay protection device, multiple abnormal alarms corresponding to each relay protection device, upper-level mapping relationship between each relay protection device and its corresponding multiple abnormal alarms, multiple fault causes corresponding to each abnormal alarm, middle-level mapping relationship between each abnormal alarm and its corresponding multiple fault causes, multiple handling measures corresponding to each fault cause, lower-level mapping relationship between each fault cause and its corresponding multiple handling measures, plug-in ledger and plug-in electrical diagram of each relay protection device, plug-in mapping relationship between each abnormal alarm and its corresponding plug-in impact range, interlocking electrical diagram and interlocking logic diagram of each relay protection device, and interlocking mapping relationship between each abnormal alarm and its corresponding interlocking type; The relay protection equipment performs self-tests. The dispatch terminal obtains alarm templates based on abnormal alarms and the relay protection equipment that issued the alarms. Based on the existence of upper-level mapping relationships, it performs self-verification to check whether the relay protection equipment's self-test is correct. When the self-test detects an abnormality in the relay protection equipment, it sends an abnormal alarm to the dispatch terminal. The dispatch terminal obtains alarm templates based on abnormal alarms and the relay protection equipment that issued the alarms, and retrieves alarm big data models based on alarm templates and abnormal alarms to obtain fault causes, handling measures, fault plug-ins, and interlocking types.

2. The self-diagnostic method for relay protection alarms according to claim 1, characterized in that, The plug-in logbook for relay protection equipment is created by adding the date, version, and serial number to the plug-in template, and then modifying the template according to the actual plug-in installation situation.

3. The self-diagnostic method for relay protection alarms according to claim 2, characterized in that, The plug-ins of relay protection equipment include: AC plug-in, CPU plug-in, input plug-in, output plug-in, human-machine interface plug-in, and power supply plug-in; there is a corresponding relationship between the plug-ins and the functional modules within the relay protection equipment; when a functional module has a defect, the relay protection equipment issues an abnormal alarm, and the faulty plug-in corresponding to the defect of the functional module constitutes the plug-in impact range of the abnormal alarm.

4. The self-diagnostic method for relay protection alarms according to claim 3, characterized in that, Based on the plug-in ledger and plug-in electrical diagram of each relay protection device, and according to the set drawing template, a plug-in schematic diagram representing the number and model of plug-ins and the electrical connection between each plug-in is obtained. Based on the plug-in schematic diagram, the impact range of the plug-in for abnormal alarms is determined. Based on the plugin mapping relationship between abnormal alarms and the corresponding plugin impact range, faulty plugins and their handling measures are located according to the abnormal alarms.

5. The self-diagnostic method for relay protection alarms according to claim 1, characterized in that, Interlocking of relay protection equipment includes hardware interlocking and logic interlocking; the interlocking type corresponding to abnormal alarms is determined based on the interlocking electrical diagram and interlocking logic diagram of each relay protection device. Based on the locking mapping relationship between abnormal alarms and corresponding locking types, the locking type is located according to the abnormal alarm.

6. The self-diagnostic method for relay protection alarms according to claim 1, characterized in that, The dispatch terminal obtains alarm templates based on abnormal alarms and the relay protection devices that issued the alarms, and performs self-verification of the relay protection devices' self-tests based on the upper-level mapping relationship. After the self-verification is passed, the scheduling end compares the intermediate mapping relationship between each abnormal alarm stored in the alarm big data model and the corresponding multiple fault causes according to the intermediate mapping relationship in the alarm template. When the comparison results are consistent, the scheduling end retrieves the alarm big data model according to the abnormal alarm and the intermediate mapping relationship to determine the multiple fault causes corresponding to the abnormal alarm. The dispatcher compares the lower-level mapping relationship in the alarm template with the lower-level mapping relationship between each fault cause and the corresponding multiple handling measures stored in the alarm big data model. When the comparison results are consistent, the dispatcher retrieves the alarm big data model based on the determined fault cause and the lower-level mapping relationship to determine the multiple handling measures corresponding to the fault cause.

7. The self-diagnostic method for relay protection alarms according to claim 6, characterized in that, Based on the plug-in mapping relationship of abnormal alarms, the dispatch terminal identifies the faulty plug-in from the plug-in ledger and plug-in electrical diagram of each relay protection device stored in the alarm big data model, and proposes handling measures for the faulty plug-in. Based on the interlocking mapping relationship of abnormal alarms, the dispatch terminal determines the interlocking type from the interlocking electrical diagrams and interlocking logic diagrams of each relay protection device stored in the alarm big data model, and sends an interlocking warning signal to the remote operation and maintenance department.

8. A self-diagnostic system for relay protection alarms, characterized in that, include: The alarm template creation module is used to obtain the upper-level mapping relationship between each relay protection device and its corresponding multiple abnormal alarms, the middle-level mapping relationship between each abnormal alarm and its corresponding multiple fault causes, and the lower-level mapping relationship between each fault cause and its corresponding multiple handling measures. Obtain the plug-in ledger and plug-in electrical diagram of each relay protection device to determine the plug-in mapping relationship between each abnormal alarm and the corresponding plug-in impact range; Obtain the interlocking electrical diagram and interlocking logic diagram of each relay protection device to determine the interlocking mapping relationship between each abnormal alarm and the corresponding interlocking type; based on the obtained upper-level mapping relationship, middle-level mapping relationship, lower-level mapping relationship, plug-in mapping relationship and interlocking mapping relationship, establish the alarm template of each relay protection device; The alarm big data model building module is used to build alarm big data models, including: each relay protection device, multiple abnormal alarms corresponding to each relay protection device, the upper-level mapping relationship between each relay protection device and its corresponding multiple abnormal alarms, multiple fault causes corresponding to each abnormal alarm, the middle-level mapping relationship between each abnormal alarm and its corresponding multiple fault causes, multiple handling measures corresponding to each fault cause, the lower-level mapping relationship between each fault cause and its corresponding multiple handling measures, the plug-in ledger and plug-in electrical diagram of each relay protection device, the plug-in mapping relationship between each abnormal alarm and its corresponding plug-in impact range, the interlocking electrical diagram and interlocking logic diagram of each relay protection device, and the interlocking mapping relationship between each abnormal alarm and its corresponding interlocking type. The relay protection alarm self-diagnosis module is used for relay protection equipment to perform self-tests. The dispatch terminal obtains alarm templates based on abnormal alarms and the relay protection equipment that issued the alarms. Based on the existence of upper-level mapping relationships, it performs self-verification on whether the relay protection equipment's self-test is correct. When the self-test detects an abnormality in the relay protection equipment, it sends an abnormal alarm to the dispatch terminal. The dispatch terminal obtains alarm templates based on abnormal alarms and the relay protection equipment that issued the alarms, and retrieves alarm big data models based on alarm templates and abnormal alarms to obtain fault causes, handling measures, fault plug-ins, and interlocking types.

9. A terminal, comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is configured to operate according to the instructions to perform the steps of the method according to any one of claims 1-7.

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

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