CN108931972A - A kind of substation secondary device condition intelligent diagnostic method based on model-driven - Google Patents

Abstract

The invention discloses a model-driven intelligent diagnosis method for the status of secondary equipment in substations. Based on the topology of the primary equipment, the operating status of the primary equipment is calculated; based on the IEC61850 model configuration file, the topology of the secondary equipment of the substation is established, and combined with the listing information of the secondary equipment Analyze the running status of the secondary equipment; according to the switch-in and withdrawal rules of the substation secondary equipment soft pressure plate, establish an intelligent diagnosis business logic model library through standardized modeling, and use an XML-based logic description language for description; obtain business by loading the intelligent diagnosis model library Logic model, and automatically complete the mapping between the business logic model and the database of the substation monitoring system, generate an instance of the intelligent diagnosis model, and then complete the diagnosis of the state of the secondary equipment based on the relevant real-time data of the database of the substation monitoring system; the present invention promotes the state diagnosis of the secondary equipment of the substation Standardization and standardization of functions.

Description

A Model-Driven Intelligent Diagnosis Method for Substation Secondary Equipment Status

technical field

The invention relates to a model-driven intelligent diagnosis method for the state of secondary equipment in a substation, and belongs to the technical field of substation automation.

Background technique

At present, with the large-scale construction of smart substations, more and more attention has been paid to maintenance and maintenance technology, and the uncertainty of the status of secondary equipment in substations has increased the difficulty of operation and maintenance of secondary equipment in substations and the cost of operation and maintenance, affecting the safety of power systems. run.

A large number of soft pressure plates are used in the protection devices of intelligent stations. In daily work, manual input and withdrawal are still used, which is inefficient and error-prone. Due to the lack of effective monitoring and management methods for the state of secondary equipment, misoperation, miswiring, and missetting of relay protection frequently occur, and after the equipment is in an abnormal state or malfunctions, the fault judgment and treatment mainly rely on personal experience. Long time, low processing efficiency, poor effect, secondary equipment defects cannot be quickly located, and diagnosis is difficult, which seriously threatens the safe operation of smart substations.

Contents of the invention

Purpose: In order to overcome the deficiencies in the prior art, the present invention provides a model-driven intelligent diagnosis method for the status of secondary equipment in substations, to realize the diagnosis of the operating status of the secondary equipment and the state of the pressure plate, and to provide Regulatory tools and decision-making basis.

Technical solution: In order to solve the above-mentioned technical problems, the technical solution adopted in the present invention is:

A model-driven intelligent diagnosis method for substation secondary equipment status, comprising the following steps:

Step 1: Based on the topology of the primary equipment, the object information of the electrical bay of the primary equipment of the substation is obtained, and the operating state of the bay is calculated according to the status of the circuit breaker and switch in the electrical bay, the charged state of the load, and the charged state of the bus corresponding to the electrical bay;

Step 2: Based on the substation IEC61850 model configuration file, establish the topology connection relationship of the secondary equipment of the substation, and analyze and calculate the operation status of the secondary equipment in combination with the listing information of the secondary equipment;

Step 3: Based on the switch-on and withdrawal rules of the secondary equipment pressure plate of the substation, different diagnostic rules are generated according to the scope of influence, function and model differences for secondary equipment of different protection types, different voltage levels, and different manufacturers;

Step 4: For the diagnostic rules formed in Step 3, extract the objects in the diagnostic rules one by one, the object target value or reference value, and the arithmetic and logic operations between the object and the target value or reference value, and convert them into production rules. The results of one or several production rules participate in the calculation as objects of other production rules;

Step 5: Use the XML-based logic description language to describe the production rules established in Step 4, complete the modeling of the substation secondary equipment pressure plate state diagnosis model, and form a complete diagnostic logic criterion that can be recognized by the computer;

Step 6: Based on the diagnostic logic criteria formed in step 5, obtain the list of secondary equipment from the database of the substation monitoring system, substitute these equipment into the corresponding type of secondary equipment diagnostic logic criteria one by one, and complete the process based on the topology of the primary equipment and the topology of the secondary equipment Automatic mapping of logic equipment in logic criteria to primary equipment, secondary equipment, and secondary equipment pressure plate, and instantiate diagnostic logic criteria into substation secondary equipment pressure plate state diagnostic instance criteria for specific equipment objects;

Step 7: Based on the criterion of the clamping plate state diagnosis example formed in step 6, regularly read the corresponding object data from the real-time database of the substation monitoring system and execute the arithmetic logic operation in the criterion to obtain the diagnosis result, and output the result to Related applications of substation monitoring system;

Step 8: Based on the criterion of the clamping plate status diagnosis example formed in step 6, according to the operation request of the remote control service module and the sequence control module in the substation monitoring system, the clamping plate status diagnosis operation is performed in real time and the diagnosis result is fed back.

As a preferred solution, the electrical compartment object information of the primary equipment of the substation in the step 1 includes: wiring mode, primary equipment information in the electrical compartment; the operating status of the compartment includes: running state, standby state, and maintenance state.

As a preferred solution, the topological connection relationship of the substation secondary equipment in the step 2 includes: GOOSE, SV association relationship, the pressure plate configuration information of the secondary equipment; the operating state of the secondary equipment includes: running state, signal state, and exit state , Maintenance status.

As a preferred solution, the protection types in the third step include: line protection, busbar protection, main transformer protection, and circuit breaker protection.

As a preferred solution, the content of the diagnostic rule is as follows: based on the operating state of the primary equipment of the electrical interval obtained in step 1, the operating state, standby state, and maintenance state, combined with the operation of the secondary equipment corresponding to the electrical interval obtained in step 2 state, running state, signal state, exit state, and maintenance state. Under the combination of these two different operating states, the state values of the hard and soft pressure plates of the secondary equipment should be equal to the target value or the reference value or in the target value range or reference Otherwise, the state of the secondary equipment is abnormal; the secondary equipment pressure plates involved in the diagnosis include: maintenance hard pressure plate, SV receiving soft pressure plate, GOOSE receiving soft pressure plate, GOOSE sending soft pressure plate, protection function soft pressure plate.

As a preferred solution, the production rules include:

1) Objects, including: primary equipment, secondary equipment, secondary equipment pressure plate;

2) The target value or benchmark value of the object;

3) Arithmetic and logic operations corresponding to the target value or reference value of the object.

As a preferred solution, the XML-based logical description language structure is composed of elements with different attributes:

1) Diagnostic logic includes: diagnostic logic used to define a certain type of secondary equipment, attributes include: identification, description, voltage level, secondary equipment of the same type and with the same functional configuration share a diagnostic logic;

2) Diagnostic items are sub-elements of diagnostic logic, including conditional diagnostic items and fuzzy diagnostic items, with attributes such as identification, description, conditional calculation script, logical calculation script, and platen type; conditional diagnostic items are used to define a certain type of platen in a certain The state judgment logic under these conditions, these conditions correspond to the primary equipment operating state, the secondary equipment operating state or the combined state of the two in the diagnostic rule described in step three; the fuzzy diagnostic item is used to define the object that cannot be fully determined in advance Status judgment logic, such as relay protection equipment usually includes a variety of protection functions, each protection function has a corresponding function to switch on and off the soft pressure plate, these protection functions will be selected according to the actual situation of the substation during deployment, and cannot be determined during modeling The protection function configuration actually used by this type of relay protection equipment in a specific substation project can only be automatically matched and mapped according to the information obtained in step 2 during actual operation. The fuzzy diagnosis item also includes connection type attributes, which are used to define and describe the diagnostic processing of the platen status involving the secondary equipment association;

3) Diagnosis items are composed of diagnosis subitems corresponding to the interval running status, device running status, and pressure plate throwing and withdrawing status, including status judging subitems, condition subitems, and fuzzy subitems. The diagnostic subitem elements have identification, description, data object, Attributes such as logical judgment type and object value are used to define the minimum logical diagnostic unit for judging device status or platen status; the status judgment sub-item is used to define and describe the arithmetic and logic processing of an input, and is used to match diagnostic items and conditional diagnostic items ;Condition sub-item is used to define and describe the arithmetic and logic processing of a condition, and is used for matching with condition diagnosis items; fuzzy sub-item is used for defining and describing a class of fuzzy matching objects, and is used for matching with fuzzy diagnosis items.

Beneficial effects: the present invention provides a model-driven intelligent diagnosis method for substation secondary equipment status. 1. The diagnostic rules of the present invention are established by standardized modeling methods, so that the diagnostic model is decoupled from the monitoring system platform, which contributes to knowledge Accumulation and standardization of intelligent diagnosis behavior; 2. Intelligent diagnosis model library, which makes the model and parameter configuration from decentralized to centralized, and the model library can be directly reused in most cases, which simplifies the configuration and is conducive to the realization of engineering; 3 . The XML-based logic description language is used to describe the diagnosis model to form a file, which is convenient to expand and easy to read; 4. The model-driven mode separates the intelligent diagnosis logic from the program code, and can quickly adapt to diversification and Differentiated requirements are conducive to program upgrade and maintenance; 5. Modular software structure, which encapsulates functions such as primary topology, running state analysis, and secondary topology into individual modules. The coupling between modules is low, which is convenient for system debugging and beneficial to Upgrade and maintenance; 6. The present invention realizes real-time diagnosis of equipment status and targeted diagnosis in the sequence control/remote control process, which provides technical support for operation and maintenance personnel to fully grasp the status of secondary equipment in the station, and ensures that the secondary equipment is under maintenance and other situations. safe and reliable operation of the power grid.

Description of drawings

Fig. 1 is a schematic diagram of the diagnosis logic of the protection function pressure plate of the 220kV line protection equipment of the present invention.

Fig. 2 is a structural diagram of the XML-based logic description language of the present invention.

Fig. 3 is a schematic diagram of the diagnosis rule of the protection function pressure plate of the relay protection equipment of the present invention.

Detailed ways

The present invention will be further described below in conjunction with the accompanying drawings.

A model-driven intelligent diagnosis method for substation secondary equipment status, including the following steps:

Step 1: Based on the topology of the primary equipment, obtain the electrical compartment object information of the primary equipment in the substation, including: wiring mode, primary equipment information in the electrical compartment, according to the status of the circuit breaker and switch in the electrical compartment, the live state of the load, and the electrification of the bus corresponding to the electrical compartment The state calculates the running state of the interval, including: running state, standby state, and maintenance state.

Step 2: Based on the IEC61850 model configuration file including the substation configuration description file (Substation Configuration Description, SCD), establish the topology connection relationship of the secondary equipment of the substation, including: GOOSE, SV association relationship, the pressure plate configuration information of the secondary equipment, combined with the two The secondary equipment listing information is analyzed and calculated to calculate the running status of the secondary equipment, including: running status, signal status, exit status, and maintenance status.

Step 3: Based on the switch-on and withdrawal rules of the secondary equipment pressure plate of the substation, for different protection types, including: line protection, busbar protection, main transformer protection, circuit breaker protection, secondary equipment of different voltage levels and different manufacturers, according to its impact Scope, function, and model differences generate different diagnostic rules.

The content of the diagnosis rule is as follows: Based on the operating status of the primary equipment of the electrical bay obtained in step 1 (operating state, standby state, maintenance state), combined with the operating state of the electrical bay corresponding to the secondary equipment obtained in step 2 (operating state, Signal state, exit state, maintenance state), under the combination of these two different operating states, the state value of the hard pressure plate and soft pressure plate of the secondary equipment should be equal to the target value or reference value or within a reasonable target value range or reference value range, Otherwise, the state of the secondary equipment is abnormal. The secondary equipment pressure plates involved in diagnosis include: maintenance hard pressure plate, SV receiving soft pressure plate, GOOSE receiving soft pressure plate, GOOSE sending soft pressure plate, protection function soft pressure plate.

For example, there is a throw-in and withdrawal rule for the protection function of relay protection equipment: when the primary equipment of the electrical interval is in the operating state, and a certain protective device corresponding to the electrical interval is in the inspection state (that is, the operating state of the protection device is "inspection state") ), then the soft pressure plate of all protection functions of the protection device should exit (that is, the state of the pressure plate is "0"). The 220kV line protection pressure plate diagnosis rule established for this switch-on and withdrawal rule is shown in Figure 1: First, the 220kV line interval should be in the running state, and the running state of a certain set of line protection equipment corresponding to the 220kV line should be in the "inspection state" , carry out logical AND operation on the diagnostic results of the two states, if any of the conditions is not satisfied, the operation result is "0", otherwise the operation result is "1"; secondly, since the 220kV line protection function usually includes differential protection, distance protection and zero-sequence overcurrent protection, so it is necessary to include the state of the soft pressure plate of these three protection functions in the diagnostic criteria in the switching rules. 1"), the logical OR operation result is "1", otherwise the operation result is "0"; finally, the logic and operation is performed on the aforementioned operation results, and if the operation result is "1", then the "protective function pressure plate status Error" diagnosis result.

Step 4: Based on the diagnosis rules formed in Step 3, extract the objects in the diagnosis rules one by one, the object target value (or reference value), and the arithmetic and logic operations between the object and the target value or reference value, and convert them into production formulas Rules, the results of one or several production rules can be used as objects of other production rules to participate in the calculation. Production rules include: 1) Objects, including: primary equipment, secondary equipment, secondary equipment platen; 2) Target value or reference value of the object; 3) Arithmetic and logic operations corresponding to the target value or reference value of the object.

Step 5: Use the XML-based logic description language to describe the production rules established in Step 4, complete the modeling of the substation secondary equipment pressure plate state diagnosis model, and form a complete diagnostic logic criterion that can be recognized by the computer. The XML-based logic The description language structure is shown in Figure 2 and consists of elements with different attributes:

1) Diagnostic logic (DiagLogic, corresponding to the complete logic in Figure 3) includes: diagnostic logic used to define a certain type of secondary equipment, attributes include: identification, description, voltage level, shared by secondary equipment of the same type and with the same functional configuration A DiagLogic.

2) Diagnosis item (Term, corresponding to the logic in Figure 1) is a sub-element of DiagLogic, including conditional diagnosis item (CondTerm) and fuzzy diagnosis item (FuzzyTerm), with identification, description, conditional calculation script, logic calculation script, pressure plate properties such as type. The condition diagnosis item (CondTerm) is used to define the state judgment logic of a certain type of platen under certain conditions, and these conditions correspond to the primary equipment operating status, secondary equipment operating status or a combination of the two in the diagnostic rules described in step 3 State; fuzzy term (FuzzyTerm) is used to define the state judgment logic of an object that cannot be fully determined in advance. For example, relay protection equipment usually includes a variety of protection functions (each protection function has a corresponding function to switch on and off the soft pressure plate), these The protection function will be selected according to the actual situation of the substation when it is deployed. It is impossible to determine the protection function configuration actually used by this type of relay protection equipment in the specific substation project during modeling. It can only be based on the information obtained in step 2 during actual operation. For automatic matching and mapping, FuzzyTerm also includes the connection type attribute, which is used to define and describe the diagnosis process of the pressure plate state involving the relationship between the secondary equipment.

3) Term is composed of diagnostic sub-items (Item, corresponding to the interval running status, device running status, and pressure plate throwing and withdrawing status in Figure 1 and Figure 3), including status judgment sub-items (LogicItem) and conditional sub-items (CondLogicItem) , Fuzzy Item (FuzzyItem), the diagnostic sub-item element has attributes such as identification, description, data object, logical judgment type, object value, etc., and is used to define the smallest logical diagnostic unit such as device status or platen status judgment. The state judgment sub-item (LogicItem) is used to define and describe the arithmetic and logic processing of an input, and can be matched with Term and CondTerm; the condition sub-item (CondLogicItem) is used to define and describe the arithmetic and logic processing of a condition, and condition diagnosis Item (CondTerm) is used for matching; fuzzy sub-item (FuzzyItem) is used to define and describe a class of fuzzy matching objects, and is used for matching with fuzzy diagnostic items (FuzzyTerm).

Step 6: Based on the diagnostic logic criteria formed in step 5, obtain the list of secondary equipment from the database of the substation monitoring system, substitute these equipment into the corresponding type of secondary equipment diagnostic logic criteria one by one, and complete the process based on the topology of the primary equipment and the topology of the secondary equipment Objects such as logical equipment and pressure plates in the logic criterion are automatically mapped to actual equipment and pressure plates. The mapping process does not require manual intervention, so that the diagnostic logic criteria are instantiated into a substation secondary equipment pressure plate state diagnosis instance for specific equipment objects criterion.

Step 7: Based on the criterion of the clamping plate state diagnosis example formed in step 6, regularly read the corresponding object data from the real-time database of the substation monitoring system and execute the arithmetic logic operation in the criterion to obtain the diagnosis result, and output the result to Substation monitoring system-related applications, such as alarm modules, etc.

Step 8: Based on the criterion of the clamping plate status diagnosis example formed in step 6, according to the operation request of the remote control service module and the sequence control module in the substation monitoring system, the clamping plate status diagnosis operation is performed in real time and the diagnosis result is fed back.

Embodiment 1, taking 220kV line protection equipment as an example:

A model-driven intelligent diagnosis method for the state of substation secondary equipment, the specific steps of which are as follows:

Step 1: Establish intelligent diagnostic logic criteria according to the types of equipment in the station. Equipment of the same manufacturer and the same type are configured with a set of diagnostic logic criteria. The established intelligent diagnostic logic is shown in Figure 3. The diagnostic logic contains multiple diagnostic logic items. Only when all diagnostic logic items are true, the device status is normal, otherwise the device is in an abnormal state; each diagnostic logic contains multiple diagnostic logic sub-items, usually for one device operation Status, secondary equipment running status, SV receiving soft pressing board, GOOSE soft pressing board, protection function soft pressing board, etc., only when all logical sub-items are true, this logical item is true, go to step 2.

Step 2: Describe the diagnostic logic criteria such as the above example based on XML to form an intelligent diagnostic logic criteria file (XML file), and go to Step 3.

Step 3: Obtain the position of circuit breaker, isolating switch and grounding switch, busbar voltage value, and line current value in real time from the primary equipment topology and primary equipment operating status analysis function module of the substation, and calculate the operating status of each interval primary equipment on this basis , write into the real-time database of the monitoring system, go to step 4.

Step 4: Obtain the GOOSE and SV association relationship between the secondary equipment from the secondary equipment topology function module, obtain the soft pressure plate corresponding to the protection device GOOSE and SV association, and go to step 5.

Step five, the secondary equipment operation state analysis function module calculates the operation state of the device by obtaining the state of the soft platen and listing information of the device, and writes it into the real-time database of the monitoring system, and then goes to step six.

Step six, start the substation secondary equipment pressure plate state diagnosis module, obtain secondary equipment information from the database, and go to step seven.

Step 7: Read the intelligent diagnosis logic criterion file for the status diagnosis of the soft platen of the secondary equipment of the substation, read the secondary equipment information from the database, and complete and intelligent diagnosis logic criterion based on the primary equipment topology module and the secondary equipment topology module Automatically match with the actual equipment, pressure plate and data objects, complete the mapping between the secondary equipment and the corresponding diagnostic logic, and then complete the instantiation in the corresponding diagnostic logic, generate an intelligent diagnostic logic instance, and go to step eight.

Step 8, the substation secondary equipment pressure plate status diagnosis module obtains the real-time value of the equipment (data) object in the intelligent diagnosis logic instance from the real-time database, and goes to step 9;

Step 9, the substation secondary equipment pressure plate state diagnosis module completes the logic calculation of the intelligent diagnosis logic instance, obtains the reasoning result, and updates the diagnosis result to the alarm interface. Go to step ten.

Step ten, when the substation secondary equipment soft platen state diagnosis module receives the sequential control/remote control operation message, it retrieves the corresponding diagnostic logic instance from the list of intelligent diagnostic logic instances according to the object information of the operated equipment provided in the message, Then diagnose the sequence and result of the device object operation based on the logic instance, and return the diagnosis result to the sequence control/remote control program.

The above is only a preferred embodiment of the present invention, it should be pointed out that for those of ordinary skill in the art, without departing from the principle of the present invention, some improvements and modifications can also be made, and these improvements and modifications are also possible. It should be regarded as the protection scope of the present invention.

Claims (7)

1. A model-driven substation secondary equipment state intelligent diagnosis method, characterized in that: comprising the steps: Step 1: Based on the topology of the primary equipment, the object information of the electrical bay of the primary equipment of the substation is obtained, and the operating state of the bay is calculated according to the status of the circuit breaker and switch in the electrical bay, the charged state of the load, and the charged state of the bus corresponding to the electrical bay; Step 2: Based on the substation IEC61850 model configuration file, establish the topology connection relationship of the secondary equipment of the substation, and analyze and calculate the operation status of the secondary equipment in combination with the listing information of the secondary equipment; Step 3: Based on the switch-on and withdrawal rules of the secondary equipment pressure plate of the substation, different diagnostic rules are generated according to the scope of influence, function and model differences for secondary equipment of different protection types, different voltage levels, and different manufacturers; Step 4: For the diagnostic rules formed in Step 3, extract the objects in the diagnostic rules one by one, the object target value or reference value, and the arithmetic and logic operations between the object and the target value or reference value, and convert them into production rules. The results of one or several production rules participate in the calculation as objects of other production rules; Step 5: Use the XML-based logic description language to describe the production rules established in Step 4, complete the modeling of the substation secondary equipment pressure plate state diagnosis model, and form a complete diagnostic logic criterion that can be recognized by the computer; Step 6: Based on the diagnostic logic criteria formed in step 5, obtain the list of secondary equipment from the database of the substation monitoring system, substitute these equipment into the corresponding type of secondary equipment diagnostic logic criteria one by one, and complete the process based on the topology of the primary equipment and the topology of the secondary equipment Automatic mapping of logic equipment in logic criteria to primary equipment, secondary equipment, and secondary equipment pressure plate, and instantiate diagnostic logic criteria into substation secondary equipment pressure plate state diagnostic instance criteria for specific equipment objects; Step 7: Based on the criterion of the clamping plate state diagnosis example formed in step 6, regularly read the corresponding object data from the real-time database of the substation monitoring system and execute the arithmetic logic operation in the criterion to obtain the diagnosis result, and output the result to Related applications of substation monitoring system; Step 8: Based on the criterion of the clamping plate status diagnosis example formed in step 6, according to the operation request of the remote control service module and the sequence control module in the substation monitoring system, the clamping plate status diagnosis operation is performed in real time and the diagnosis result is fed back. 2. A model-driven intelligent diagnosis method for substation secondary equipment status according to claim 1, characterized in that: in the step 1, the substation primary equipment electrical compartment object information includes: wiring mode, primary equipment in the electrical compartment Information; the running state of the interval includes: running state, standby state, and inspection state. 3. A model-driven intelligent diagnosis method for substation secondary equipment status according to claim 1, characterized in that: the topological connection relationship of substation secondary equipment in said step 2 includes: GOOSE, SV association, secondary The configuration information of the pressure plate of the equipment; the operation status of the secondary equipment includes: running state, signal state, exit state, and maintenance state. 4. A model-driven intelligent diagnosis method for substation secondary equipment status according to claim 1, characterized in that: the protection types in the step 3 include: line protection, busbar protection, main transformer protection, circuit breaker protection . 5. a kind of model-driven substation secondary equipment state intelligent diagnosis method based on claim 1, is characterized in that: the content of described diagnosis rule is as follows: based on the electrical interval primary equipment operating state that step 1 draws, in conjunction with The operating state of the secondary equipment corresponding to the electrical interval obtained in step 2, under the combination of the two different operating states, the state value of the hard pressing plate and soft pressing plate of the secondary equipment should be equal to the target value or reference value or be at the target value Interval or reference value interval, otherwise, the state of the secondary equipment is abnormal; secondary equipment pressure plates involved in diagnosis include: hard pressure plate for maintenance, soft pressure plate for SV reception, soft pressure plate for GOOSE reception, soft pressure plate for GOOSE transmission, and soft pressure plate for protection function. 6. A model-driven intelligent diagnosis method for substation secondary equipment status according to claim 1, characterized in that: said production rules include: 1) Objects, including: primary equipment, secondary equipment, secondary equipment pressure plate; 2) The target value or benchmark value of the object; 3) Arithmetic and logic operations corresponding to the target value or reference value of the object. 7. A kind of model-driven substation secondary equipment state intelligent diagnosis method based on claim 1, is characterized in that: described logic description language structure based on XML is made up of elements with different attributes: 1) Diagnostic logic includes: diagnostic logic used to define a certain type of secondary equipment, attributes include: identification, description, voltage level, secondary equipment of the same type and with the same functional configuration share a diagnostic logic; 2) Diagnostic items are sub-elements of diagnostic logic, including conditional diagnostic items and fuzzy diagnostic items, with attributes such as identification, description, conditional calculation script, logical calculation script, and platen type; conditional diagnostic items are used to define a certain type of platen in a certain The state judgment logic under these conditions, these conditions correspond to the primary equipment operating state, the secondary equipment operating state or the combined state of the two in the diagnostic rule described in step three; the fuzzy diagnostic item is used to define the object that cannot be fully determined in advance Status judgment logic, such as relay protection equipment usually includes a variety of protection functions, each protection function has a corresponding function to switch on and off the soft pressure plate, these protection functions will be selected according to the actual situation of the substation during deployment, and cannot be determined during modeling The protection function configuration actually used by this type of relay protection equipment in a specific substation project can only be automatically matched and mapped according to the information obtained in step 2 during actual operation. The fuzzy diagnosis item also includes connection type attributes, which are used to define and describe the diagnostic processing of the platen status involving the secondary equipment association; 3) Diagnosis items are composed of diagnosis subitems corresponding to the interval running status, device running status, and pressure plate throwing and withdrawing status, including status judging subitems, condition subitems, and fuzzy subitems. The diagnostic subitem elements have identification, description, data object, Attributes such as logical judgment type and object value are used to define the minimum logical diagnostic unit for judging device status or platen status; the status judgment sub-item is used to define and describe the arithmetic and logic processing of an input, and is used to match diagnostic items and conditional diagnostic items ;Condition sub-item is used to define and describe the arithmetic and logic processing of a condition, and is used for matching with condition diagnosis items; fuzzy sub-item is used for defining and describing a class of fuzzy matching objects, and is used for matching with fuzzy diagnosis items.