Self-diagnosis method and system suitable for relay protection alarm

By establishing an alarm template and alarm big data model for relay protection equipment, the mapping relationship between the equipment and abnormal alarms is obtained, and the problem of insufficient alarm self-diagnosis technology of the existing technology relay protection equipment is solved, and rapid and accurate fault positioning and handling measures are achieved, improving operation and maintenance efficiency and safety.

CN119961031AActive Publication Date: 2025-05-09THREE GORGES JINSHAJIANG CHUANYUN HYDROPOWER DEV CO LTD
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Patent Information

Application Number
CN202411771145.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-04
Publication Date
2025-05-09
Estimated Expiration
2044-12-04

AI Technical Summary

Technical Problem

There is a lack of a self-diagnosis technology for alarm and self-diagnosis of relay protection equipment in the prior art, resulting in insufficient analysis of alarm cause, fault positioning and impact range processing scope and breadth, and it is impossible to realize unified alarm and self-diagnosis technology and methods for relay protection equipment.

Method used

By obtaining the upper-level mapping relationship between the relay protection device and the abnormal alarm, the middle-level mapping relationship between the abnormal alarm and the cause of the failure, and the lower-level mapping relationship between the cause of the failure and the handling measures, an alarm template and alarm big data model are established to realize the alarm self-diagnosis of the relay protection device.

Benefits of technology

It quickly determines the specific details and handling measures for abnormal alarms of relay protection equipment, and quickly locates fault plug-ins and locking types, improving the safety and efficiency of remote operation and maintenance.

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Abstract

The relay protection alarm self-diagnosis method comprises the steps of obtaining an upper-layer mapping relation between each relay protection device and multiple abnormal alarms, obtaining a middle-layer mapping relation between each abnormal alarm and multiple fault reasons, obtaining a lower-layer mapping relation between each fault reason and multiple disposal measures, and obtaining a lower-layer mapping relation between each abnormal alarm and multiple disposal measures; determining a plug-in mapping relation between each abnormal alarm and a plug-in influence range, determining a locking mapping relation between each abnormal alarm and a locking type, and establishing an alarm template of each relay protection device; when the relay protection equipment is found to be abnormal through self-inspection, an abnormal alarm is sent to a scheduling end; and the scheduling end obtains an alarm template according to the abnormal alarm and the relay protection equipment which sends the alarm, and retrieves an alarm big data model according to the alarm template and the abnormal alarm so as to obtain a fault reason, a disposal measure, a fault plug-in and a locking type. According to the invention, when the abnormal alarm is obtained, the scheduling end uses the alarm template to retrieve the alarm big data model, and traces alarm reasons and handling measures.
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Description

Technical Field

[0001] The present invention belongs to the technical field of relay protection defect diagnosis, and in particular, relates to a method and system suitable for relay protection alarm self-diagnosis. Background Art

[0002] In the prior art, the alarm tracing method for relay protection defect diagnosis includes: obtaining the SCD file of the substation and the alarm information of the relay protection alarm device; generating at least one tag corresponding to the Petri network of the alarm tracing according to the alarm information, and taking the alarm device as the first first library place of the Petri network; for each tag, retrieving the optical circuit transition, electrical circuit transition and library place from the first first library place according to the SCD file; generating a Petri network according to the optical circuit transition, library place and electrical circuit transition of all tags, and further retrieving and determining the homologous device and mutual backup device of the alarm device. The prior art lays a good foundation for further realizing the instantiation of the relay protection defect diagnosis knowledge graph and the automatic diagnosis of defects, and lays a good support for the rapid and timely disposal of relay protection defects and ensuring the safe and stable operation of the power grid. However, the existing technology only realizes the alarm tracing of the optical circuit of the smart substation, but lacks the alarm self-diagnosis technology specifically for the relay protection equipment. The existing technology either focuses on a type of device, or is limited by the version of the device, and has insufficient processing scope and breadth in alarm cause analysis, fault location, and impact range, and lacks unified alarm self-diagnosis technology and methods for relay protection equipment. Summary of the invention

[0003] In order to solve the deficiencies in the prior art, the present invention provides a method and system suitable for self-diagnosis of relay protection alarms. When an abnormal alarm is obtained, the dispatching end can use the alarm template to retrieve the alarm big data model, thereby tracing the cause of the alarm and the scope of alarm impact, determining one or more plug-ins related to the scope of alarm impact, and providing disposal measures for the abnormal alarm to realize self-diagnosis of relay protection alarms.

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

[0005] The present invention proposes a self-diagnosis method applicable to relay protection alarm, comprising:

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

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

[0008] Based on the acquired upper-layer mapping relationship, middle-layer mapping relationship, lower-layer mapping relationship, plug-in mapping relationship and blocking mapping relationship, an alarm template for each relay protection device is established;

[0009] 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 the corresponding multiple abnormal alarms, the multiple fault causes corresponding to each abnormal alarm, the middle-level mapping relationship between each abnormal alarm and the corresponding multiple fault causes, the multiple disposal measures corresponding to each fault cause, the lower-level mapping relationship between each fault cause and the corresponding multiple disposal measures, the plug-in ledger table and plug-in electrical diagram of each relay protection device, the plug-in mapping relationship between each abnormal alarm and the corresponding plug-in impact range, the locking electrical diagram and locking logic diagram of each relay protection device, and the locking mapping relationship between each abnormal alarm and the corresponding locking type;

[0010] The relay protection equipment performs self-inspection; when the self-inspection finds that the relay protection equipment is abnormal, an abnormal alarm is issued to the dispatching end; the dispatching end 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 locking type.

[0011] Preferably, the plug-in inventory table of the relay protection device adds the date, version, and serial number to the plug-in template, and modifies the plug-in template according to the actual plug-in installation situation.

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

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

[0014] Based on the mapping relationship between the abnormal alarm and the corresponding plug-in impact range, the faulty plug-in and the handling measures for the faulty plug-in are located according to the abnormal alarm.

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

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

[0017] Preferably, the dispatching end obtains the alarm template according to the abnormal alarm and the relay protection device that issues the alarm, and performs self-checking of whether the relay protection device self-check is correct based on the upper layer mapping relationship;

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

[0019] The dispatching end compares the lower-level mapping relationship between each fault cause stored in the alarm big data model and the corresponding multiple disposal measures according to the lower-level mapping relationship in the alarm template. When the comparison results are consistent, the dispatching end searches the alarm big data model according to the determined fault cause and the lower-level mapping relationship to determine the multiple disposal measures corresponding to the fault cause.

[0020] Preferably, the dispatching end determines the faulty plug-in from the plug-in ledger table and plug-in electrical diagram of each relay protection device stored in the alarm big data model according to the plug-in mapping relationship of the abnormal alarm, and proposes disposal measures for the faulty plug-in;

[0021] The dispatching end determines the interlocking type from the interlocking electrical diagram and interlocking logic diagram of each relay protection device stored in the alarm big data model based on the interlocking mapping relationship of the abnormal alarm, and sends a interlocking warning signal to the remote operation and maintenance.

[0022] The present invention also proposes a self-diagnosis system suitable for relay protection alarm, comprising:

[0023] The alarm template establishment module is used to obtain the upper-level mapping relationship between each relay protection device and the corresponding multiple abnormal alarms, obtain the middle-level mapping relationship between each abnormal alarm and the corresponding multiple fault causes, and obtain the lower-level mapping relationship between each fault cause and the corresponding multiple disposal measures; obtain the plug-in ledger table 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 locking electrical diagram and locking logic diagram of each relay protection device to determine the locking mapping relationship between each abnormal alarm and the corresponding locking type; establish the alarm template of 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 locking mapping relationship;

[0024] An alarm big data model establishment module is used to establish an alarm big data model, including: each relay protection device, multiple abnormal alarms corresponding to each relay protection device, an upper-level mapping relationship between each relay protection device and the corresponding multiple abnormal alarms, multiple fault causes corresponding to each abnormal alarm, a middle-level mapping relationship between each abnormal alarm and the corresponding multiple fault causes, multiple disposal measures corresponding to each fault cause, a lower-level mapping relationship between each fault cause and the corresponding multiple disposal measures, a plug-in ledger table and plug-in electrical diagram of each relay protection device, a plug-in mapping relationship between each abnormal alarm and the corresponding plug-in impact range, a locking electrical diagram and a locking logic diagram of each relay protection device, and a locking mapping relationship between each abnormal alarm and the corresponding locking type;

[0025] The relay protection alarm self-diagnosis module is used for self-inspection of relay protection equipment. When the self-inspection finds that the relay protection equipment is abnormal, an abnormal alarm is issued to the dispatching end. The dispatching end 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 locking type.

[0026] The present invention is also a terminal, comprising a processor and a storage medium; the storage medium is used to store instructions; the processor is used to operate 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 implements the steps of the method when executed by a processor.

[0028] The beneficial effects of the present invention are that, compared with the prior art, at least the following are included: the method proposed by the present invention introduces big data of alarm information to realize rapid determination of specific alarm details and handling measures; introduces the alarm impact range to realize rapid determination of faulty plug-ins and protection lockout types, thereby improving the safety of remote operation and maintenance; introduces alarm positioning to realize rapid positioning of specific plug-ins and rapid provision of handling measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a flow chart of the self-diagnosis method for relay protection alarm proposed by the present invention;

[0030] Figure 2 It is a display diagram of the relay protection alarm self-diagnosis interface in an embodiment of the present invention. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical scheme and advantages of the present invention clearer, the technical scheme of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The embodiments described in this application are only embodiments of a part of the present invention, rather than all embodiments. Based on the spirit of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work belong to the protection scope of the present invention.

[0032] The present invention proposes a self-diagnosis method suitable for relay protection alarm, such as Figure 1 As shown, including:

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

[0034] Specifically, considering the actual overall efficiency of the alarm self-diagnosis of the relay protection equipment, one relay protection equipment corresponds to one alarm template, and various types of alarm data are not stored in the alarm template. Instead, multiple mapping relationships are established in the alarm template in a hierarchical manner. The upper-level mapping relationship realizes the positioning of abnormal alarms according to the relay protection equipment, and also realizes the retrieval of relay protection equipment according to the abnormal alarm; the combination of the middle-level mapping relationship and the lower-level mapping relationship realizes the positioning of fault causes and disposal measures according to abnormal alarms.

[0035] Step 2: Obtain the plug-in inventory table 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 lockout electrical diagram and lockout logic diagram of each relay protection device to determine the lockout mapping relationship between each abnormal alarm and the corresponding lockout type.

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

[0037] In an embodiment, an abnormal alarm may affect multiple plug-ins, so the plug-ins affected by an abnormal alarm are listed in the alarm template. The plug-in ledger table of the relay protection equipment established in the actual project is an instantiation of the plug-in template, that is, the entity information such as date, version, serial number, etc. is added to the plug-in template, and the plug-in template is modified according to the actual plug-in installation situation, such as missing plug-ins, plug-in slot changes, etc. In actual application, according to the plug-in ledger table and plug-in electrical diagram of each relay protection device, according to the set drawing template, a plug-in schematic diagram representing the number, model and electrical connection between each plug-in can be obtained. Based on the plug-in schematic diagram, even if a plug-in library is not established, the plug-in impact range of the abnormal alarm can be determined.

[0038] Based on the mapping relationship between the abnormal alarm and the corresponding plug-in impact range, the faulty plug-in and the handling measures for the faulty plug-in are located according to the abnormal alarm.

[0039] The interlocking of relay protection equipment includes: hardware interlocking and logic interlocking. In actual application, the interlocking type corresponding to the abnormal alarm is determined according to the interlocking electrical diagram and interlocking logic diagram of each relay protection equipment.

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

[0041] Step 3: Based on the acquired upper-layer mapping relationship, middle-layer mapping relationship, lower-layer mapping relationship, plug-in mapping relationship and blocking mapping relationship, an alarm template for each relay protection device is established.

[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 the corresponding multiple abnormal alarms, the multiple fault causes corresponding to each abnormal alarm, the middle-level mapping relationship between each abnormal alarm and the corresponding multiple fault causes, the multiple disposal measures corresponding to each fault cause, the lower-level mapping relationship between each fault cause and the corresponding multiple disposal measures, the plug-in ledger table and plug-in electrical diagram of each relay protection device, the plug-in mapping relationship between each abnormal alarm and the corresponding plug-in impact range, the lockout electrical diagram and lockout logic diagram of each relay protection device, and the lockout mapping relationship between each abnormal alarm and the corresponding lockout type.

[0043] Step 5, the relay protection device performs self-inspection; when the self-inspection finds that the relay protection device is abnormal, an abnormal alarm is issued to the dispatching end; the dispatching end 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 cause of the fault, handling measures, fault plug-in and locking type.

[0044] Specifically, the dispatching end obtains the alarm template according to the abnormal alarm and the relay protection device that issued the alarm, and performs self-checking on whether the relay protection device self-check is correct based on the existence of the upper-layer mapping relationship;

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

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

[0047] Specifically, the dispatching end determines the faulty plug-in from the plug-in ledger table and plug-in electrical diagram of each relay protection device stored in the alarm big data model according to the plug-in mapping relationship of the abnormal alarm, and proposes disposal measures for the faulty plug-in;

[0048] Specifically, the dispatching end determines the interlocking type from the interlocking electrical diagram and interlocking logic diagram of each relay protection device stored in the alarm big data model according to the interlocking mapping relationship of the abnormal alarm, and sends a interlocking warning signal to the remote operation and maintenance.

[0049] In the embodiment, the dispatching end displays the determined alarm relay protection equipment, abnormal alarm, fault cause, disposal measures, fault plug-in and locking type in a visual interface.

[0050] In the method proposed by the present invention, in order to improve the efficiency of self-diagnosis and give full play to the advantages of the big data model, only an alarm template that can characterize the mapping relationship between abnormal alarms, alarm causes and disposal measures, and the impact range of the alarm is established. When an abnormal alarm is obtained, the dispatcher can use the alarm template to retrieve the alarm big data model, thereby tracing the alarm cause and the alarm impact range, determining one or more plug-ins related to the alarm impact range, and providing disposal measures for the abnormal alarm. Treatment suggestions; at the dispatch end, after receiving the abnormal alarm signal of the relay protection equipment, locate and display it to the corresponding plug-in, displaying the possible consequences (locked protection function) and processing suggestions. The setting of the alarm template avoids the reduction of self-diagnosis efficiency due to huge data. At the same time, the alarm big data model can meet the needs of continuously updating data such as the alarm cause, the alarm impact range, and the alarm plug-in location.

[0051] In the embodiment, Figure 2The alarm self-diagnosis interface of the dispatching end shown summarizes and organizes the alarms to a certain extent, lists all the alarms and lists the causes, measures, affected plug-ins and locking functions of each alarm. It is only 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 with abnormalities are arranged in order of alarm time and abnormal alarm level (from high to low), namely the relay protection device of #2 main transformer and the relay protection device of #1 main transformer. Among them, the abnormal level of the relay protection device is determined by the highest level of all its alarms. Click on the abnormal relay protection device, and the operation information on the right side will display the device information, diagnostic report and plug-in status. In the embodiment, the relay protection device information of the #2 main transformer includes: control panel signal display diagram, device name, device signal, manufacturer, and commissioning time; the diagnostic report arranges the alarm information from high to low according to the abnormal alarm level, including: alarm, number of items, latest event, possible cause, and disposal measures, among which the alarm is the specific situation of the abnormal alarm, such as SRAM error, input communication interruption, system configuration error, transmission status not restored, etc. The number of items is the number of abnormal alarms. For the same number of abnormal alarm records, such as 3 alarms due to input communication interruption, the latest time is the reception time of the current latest abnormal alarm, and the corresponding possible causes and disposal measures are listed for each abnormal alarm; the plug-in status includes the plug-in electrical diagram and disposal measures, and the plug-in electrical diagram also uses eye-catching colors to mark the plug-in impact range corresponding to the abnormal alarm.

[0052] The present invention also proposes a self-diagnosis system suitable for relay protection alarm, comprising:

[0053] The alarm template establishment module is used to obtain the upper-level mapping relationship between each relay protection device and the corresponding multiple abnormal alarms, obtain the middle-level mapping relationship between each abnormal alarm and the corresponding multiple fault causes, and obtain the lower-level mapping relationship between each fault cause and the corresponding multiple disposal measures; obtain the plug-in ledger table 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 locking electrical diagram and locking logic diagram of each relay protection device to determine the locking mapping relationship between each abnormal alarm and the corresponding locking type; establish the alarm template of 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 locking mapping relationship;

[0054] An alarm big data model establishment module is used to establish an alarm big data model, including: each relay protection device, multiple abnormal alarms corresponding to each relay protection device, an upper-level mapping relationship between each relay protection device and the corresponding multiple abnormal alarms, multiple fault causes corresponding to each abnormal alarm, a middle-level mapping relationship between each abnormal alarm and the corresponding multiple fault causes, multiple disposal measures corresponding to each fault cause, a lower-level mapping relationship between each fault cause and the corresponding multiple disposal measures, a plug-in ledger table and plug-in electrical diagram of each relay protection device, a plug-in mapping relationship between each abnormal alarm and the corresponding plug-in impact range, a locking electrical diagram and a locking logic diagram of each relay protection device, and a locking mapping relationship between each abnormal alarm and the corresponding locking type;

[0055] The relay protection alarm self-diagnosis module is used for self-inspection of relay protection equipment. When the self-inspection finds that the relay protection equipment is abnormal, an abnormal alarm is issued to the dispatching end. The dispatching end 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 locking type.

[0056] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0057] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of computer-readable storage media (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

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

[0059] The computer program instructions for performing the operation of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state 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 "C" language or similar programming languages. Computer-readable program instructions may be executed completely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of 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., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be customized by utilizing the state information of the computer-readable program instructions, and the electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present disclosure.

[0060] Finally, 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 above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A self-diagnosis method for relay protection alarm, characterized in that: include: Obtain the upper-level mapping relationship between each relay protection device and the corresponding multiple abnormal alarms, obtain the middle-level mapping relationship between each abnormal alarm and the corresponding multiple fault causes, and obtain the lower-level mapping relationship between each fault cause and the corresponding multiple disposal measures; Obtain the plug-in ledger table 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 acquired upper-layer mapping relationship, middle-layer mapping relationship, lower-layer mapping relationship, plug-in mapping relationship and blocking mapping relationship, an alarm template for each relay protection device is established; 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 the corresponding multiple abnormal alarms, the multiple fault causes corresponding to each abnormal alarm, the middle-level mapping relationship between each abnormal alarm and the corresponding multiple fault causes, the multiple disposal measures corresponding to each fault cause, the lower-level mapping relationship between each fault cause and the corresponding multiple disposal measures, the plug-in ledger table and plug-in electrical diagram of each relay protection device, the plug-in mapping relationship between each abnormal alarm and the corresponding plug-in impact range, the locking electrical diagram and locking logic diagram of each relay protection device, and the locking mapping relationship between each abnormal alarm and the corresponding locking type; The relay protection equipment performs self-inspection; when the self-inspection finds that the relay protection equipment is abnormal, an abnormal alarm is issued to the dispatching end; the dispatching end 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 locking type.

2. The self-diagnosis method for relay protection alarm according to claim 1, characterized in that: The plug-in ledger table of relay protection equipment adds the date, version, and serial number to the plug-in template, and modifies the plug-in template according to the actual plug-in installation situation.

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

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

5. The self-diagnosis method for relay protection alarm according to claim 1, characterized in that: The interlocking of relay protection equipment includes: hardware interlocking and logic interlocking; according to the interlocking electrical diagram and interlocking logic diagram of each relay protection equipment, determine the interlocking type corresponding to the abnormal alarm; Based on the blocking mapping relationship between the abnormal alarm and the corresponding blocking type, the blocking type is located according to the abnormal alarm.

6. The self-diagnosis method for relay protection alarm according to claim 1, characterized in that: The dispatching end obtains the alarm template according to the abnormal alarm and the relay protection device that issued the alarm, and performs self-checking on whether the relay protection device self-check is correct based on the upper-layer mapping relationship; After the self-check is passed, the dispatching end compares the middle-level mapping relationship between each abnormal alarm stored in the alarm big data model and the corresponding multiple fault causes according to the middle-level mapping relationship in the alarm template. When the comparison results are consistent, the dispatching end retrieves the alarm big data model according to the abnormal alarm and the middle-level mapping relationship to determine the multiple fault causes corresponding to the abnormal alarm; The dispatching end compares the lower-level mapping relationship between each fault cause stored in the alarm big data model and the corresponding multiple disposal measures according to the lower-level mapping relationship in the alarm template. When the comparison results are consistent, the dispatching end searches the alarm big data model according to the determined fault cause and the lower-level mapping relationship to determine the multiple disposal measures corresponding to the fault cause.

7. The self-diagnosis method for relay protection alarm according to claim 6, characterized in that: The dispatching end determines the faulty plug-in from the plug-in ledger table and plug-in electrical diagram of each relay protection device stored in the alarm big data model according to the plug-in mapping relationship of the abnormal alarm, and proposes disposal measures for the faulty plug-in; The dispatching end determines the interlocking type from the interlocking electrical diagram and interlocking logic diagram of each relay protection device stored in the alarm big data model based on the interlocking mapping relationship of the abnormal alarm, and sends a interlocking warning signal to the remote operation and maintenance.

8. A self-diagnosis system for relay protection alarm, characterized in that: include: The alarm template establishment module is used to obtain the upper-level mapping relationship between each relay protection device and the corresponding multiple abnormal alarms, obtain the middle-level mapping relationship between each abnormal alarm and the corresponding multiple fault causes, and obtain the lower-level mapping relationship between each fault cause and the corresponding multiple disposal measures; Obtain the plug-in ledger table 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 locking electrical diagram and locking logic diagram of each relay protection device to determine the locking mapping relationship between each abnormal alarm and the corresponding locking type; establish the alarm template of each relay protection device based on the obtained upper-layer mapping relationship, middle-layer mapping relationship, lower-layer mapping relationship, plug-in mapping relationship and locking mapping relationship; An alarm big data model establishment module is used to establish an alarm big data model, including: each relay protection device, multiple abnormal alarms corresponding to each relay protection device, an upper-level mapping relationship between each relay protection device and the corresponding multiple abnormal alarms, multiple fault causes corresponding to each abnormal alarm, a middle-level mapping relationship between each abnormal alarm and the corresponding multiple fault causes, multiple disposal measures corresponding to each fault cause, a lower-level mapping relationship between each fault cause and the corresponding multiple disposal measures, a plug-in ledger table and plug-in electrical diagram of each relay protection device, a plug-in mapping relationship between each abnormal alarm and the corresponding plug-in impact range, a locking electrical diagram and a locking logic diagram of each relay protection device, and a locking mapping relationship between each abnormal alarm and the corresponding locking type; The relay protection alarm self-diagnosis module is used for self-inspection of relay protection equipment. When the self-inspection finds that the relay protection equipment is abnormal, an abnormal alarm is issued to the dispatching end. The dispatching end 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 locking type.

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 execute the steps of the method according to any one of claims 1 to 7.

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

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