Grounding mode switching method and device based on knowledge graph, equipment and medium

Abstract

The invention discloses a grounding mode switching method and device based on a knowledge graph, equipment and a medium, and belongs to the technical field of electric power facilities. The method comprises the following steps: acquiring operation monitoring data of a circuit system; when it is detected that the circuit system breaks down, fault analysis information of the circuit system is determined according to the operation monitoring data; determining a target grounding mode of the circuit system according to the fault analysis information and a pre-constructed knowledge graph of the circuit system; wherein the knowledge graph comprises a grounding mode switching control logic used for dealing with a circuit system fault; and switching the grounding mode of the circuit system to the target grounding mode. According to the technical scheme, the target grounding mode of the circuit system can be automatically, rapidly and accurately determined according to the fault analysis information of the circuit system and the pre-constructed knowledge graph of the circuit system, the intelligent level and reliability of grounding mode switching decision are effectively improved, and therefore safe operation of the circuit system is guaranteed.

Description

Technical Field

[0001] The present application belongs to the technical field of electric power facilities, and specifically relates to a grounding mode switching method, device, equipment and medium based on a knowledge graph. Background Art

[0002] In the circuit system, it is particularly important to switch the grounding method in time according to the operating conditions, fault handling requirements, and safety and stability requirements. The choice of grounding method is directly related to the insulation performance of the circuit system, the limitation of fault current, the safety protection of personnel, and the normal operation of equipment.

[0003] At present, the common means of switching grounding methods mainly rely on various resistors, inductors, capacitors and switching devices, such as circuit breakers, relays or power electronic switching devices, to achieve automatic or manual conversion between different grounding methods; and based on the probability of fault occurrence and the change values ​​of several single parameters such as fault current and insulation resistance in the circuit system, it is determined whether the circuit system needs to switch the grounding method.

[0004] However, neither of these two methods can comprehensively consider all possible related factors at the same time, which can easily lead to failure in switching the grounding method, and then stop switching or continue to repeat the switching operation at a certain interval, which greatly increases the risk and uncertainty of circuit system operation. Therefore, how to comprehensively consider all relevant factors of the power system and choose an optimal grounding method for switching at the right time is an urgent problem to be solved by those in this field. Summary of the invention

[0005] The embodiments of the present application provide a knowledge graph-based grounding mode switching method, device, equipment and medium, which aims to automatically, quickly and accurately determine the target grounding mode of the circuit system, effectively improve the intelligence level and reliability of the grounding mode switching decision, and thus ensure the safe operation of the circuit system.

[0006] In a first aspect, an embodiment of the present application provides a grounding mode switching method based on a knowledge graph, the method comprising:

[0007] Acquiring operation monitoring data of the circuit system; wherein the operation monitoring data includes electrical performance data and human operation data;

[0008] In the case where a fault is detected in the circuit system, determining fault analysis information of the circuit system according to the operation monitoring data;

[0009] Determine a target grounding mode of the circuit system according to the fault analysis information and a pre-constructed knowledge graph of the circuit system; wherein the knowledge graph includes a grounding mode switching control logic for coping with a circuit system fault;

[0010] The grounding mode of the circuit system is switched to the target grounding mode.

[0011] In a second aspect, an embodiment of the present application provides a grounding mode switching device based on a knowledge graph, the device comprising:

[0012] A monitoring data acquisition module, used to acquire operation monitoring data of the circuit system; wherein the operation monitoring data includes electrical performance data and human operation data;

[0013] a fault analysis module, configured to determine fault analysis information of the circuit system according to the operation monitoring data when a fault is detected in the circuit system;

[0014] A grounding mode determination module, configured to determine a target grounding mode of the circuit system according to the fault analysis information and a pre-constructed knowledge graph of the circuit system; wherein the knowledge graph includes a grounding mode switching control logic for coping with a circuit system fault;

[0015] The grounding mode switching module is used to switch the grounding mode of the circuit system to the target grounding mode.

[0016] In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method described in the first aspect.

[0017] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0018] In an embodiment of the present application, operation monitoring data of a circuit system is obtained; wherein the operation monitoring data includes electrical performance data and manual operation data; in the case where a fault is detected in the circuit system, the fault analysis information of the circuit system is determined according to the operation monitoring data; the target grounding mode of the circuit system is determined according to the fault analysis information and a pre-constructed knowledge graph of the circuit system; wherein the knowledge graph includes a grounding mode switching control logic for responding to circuit system faults; and the grounding mode of the circuit system is switched to the target grounding mode. The above-mentioned knowledge graph-based grounding mode switching method can automatically, quickly and accurately determine the target grounding mode of the circuit system according to the fault analysis information of the circuit system and the pre-constructed knowledge graph of the circuit system, effectively improving the intelligence level and reliability of the grounding mode switching decision, thereby ensuring the safe operation of the circuit system. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a flowchart of a grounding mode switching method based on a knowledge graph provided in Example 1 of the present application;

[0020] Figure 2 It is a flowchart of the process of pre-building a knowledge graph of a circuit system provided in the second embodiment of the present application;

[0021] Figure 3 is an example diagram of a circuit system provided in Embodiment 2 of the present application;

[0022] Figure 4 It is a flowchart of a grounding mode switching method based on a knowledge graph provided in Embodiment 3 of the present application;

[0023] Figure 5 It is a structural schematic diagram of a grounding mode switching device based on a knowledge graph provided in Embodiment 4 of the present application;

[0024] Figure 6 It is a schematic diagram of the structure of an electronic device provided in Example 5 of the present application. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical scheme and advantages of the present application clearer, the specific embodiments of the present application are further described in detail below in conjunction with the accompanying drawings. It is understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for the convenience of description, only the part related to the present application but not all the contents are shown in the accompanying drawings. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow chart describes each operation (or step) as a sequential process, many of the operations therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of each operation can be rearranged. The process can be terminated when its operation is completed, but it can also have additional steps not included in the accompanying drawings. The process can correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.

[0026] The following will be combined with the drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the present application belong to the scope of protection of this application.

[0027] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0028] In combination with the accompanying drawings, the knowledge graph-based grounding mode switching method, device, equipment and medium provided in the embodiments of the present application are described in detail through specific embodiments and their application scenarios.

[0029] Embodiment 1

[0030] Figure 1 is a flow chart of a grounding mode switching method based on a knowledge graph provided in the first embodiment of the present application. Figure 1 As shown, the specific steps include:

[0031] S101, obtaining operation monitoring data of a circuit system; wherein the operation monitoring data includes electrical performance data and human operation data;

[0032] First of all, this application is applicable to scenarios where the circuit system is in operation. Based on the above usage scenarios, it can be understood that the execution subject of this application can be an on-site operation and maintenance management system. Specifically, the acquisition of operation monitoring data, determination of fault analysis information, and determination and switching of target grounding methods can be performed by the on-site operation and maintenance management system. The circuit system adopts the target grounding method to reduce the harm caused by faults and improve the safety of the circuit system.

[0033] The circuit system may refer to an organic whole capable of realizing the transmission, distribution, conversion and control of electric energy. The on-site operation and maintenance management system may be a comprehensive operation and maintenance management platform connected to the circuit system for monitoring the circuit system.

[0034] Operation monitoring data can be a data set collected to monitor and evaluate the operation status of the circuit system. The operation monitoring data can include electrical performance data and human operation data. Specifically, electrical performance data can be a collection of information reflecting the electrical characteristics of the circuit system during operation; human operation data can refer to data on human activities related to the circuit system, and can include planned action data and unplanned misoperation data. In addition, operation monitoring data can also include daily operation information and fault information of the circuit system.

[0035] The method of obtaining the operation monitoring data of the circuit system can be to associate the PSCADA (Power Supervisory Control and Data Acquisition) system of the circuit system with the online monitoring system, associate the electric energy meters in the circuit system, associate the system that records the manual operation data (such as the on-site operation and maintenance management system, etc.), and associate the system that records the daily operation information and fault information. Among them, the PSCADA (Power Supervisory Control and Data Acquisition) system and the online monitoring system can collect node power information, log event information and other recorded information.

[0036] In the technical solution, optionally, after obtaining the operation monitoring data of the circuit system, the method further includes:

[0037] The knowledge graph of the circuit system is updated and optimized according to the operation monitoring data.

[0038] The method of updating and optimizing the knowledge graph of the circuit system according to the operation monitoring data can be carried out by real-time analysis and feature extraction of the operation monitoring data, identifying the key information related to the entity objects, attribute objects and relationship objects in the knowledge graph, and matching and comparing these key information with the entity objects, attribute objects and relationship objects in the knowledge graph. When it is identified that a certain key information matches or the comparison fails, the entity object, attribute object or relationship object is updated or newly created according to the key information.

[0039] The benefit of this arrangement of the present scheme is that by updating and optimizing the knowledge graph of the circuit system according to the operation monitoring data, it can be ensured that the knowledge graph is always closely aligned with the actual operation status of the circuit system, thus maintaining the timeliness and accuracy of the knowledge.

[0040] S102, when a fault is detected in the circuit system, determining fault analysis information of the circuit system according to the operation monitoring data;

[0041] A circuit system failure may refer to a situation where the circuit system cannot operate normally, such as a short circuit failure or a grounding failure in the circuit system.

[0042] The method of detecting a circuit system failure may be to determine that the circuit system has a failure when the electrical performance data of the circuit system and its rate of change exceed the normal operating range or when the circuit system has other conditions that do not conform to the normal operating logic.

[0043] Fault analysis information can be a comprehensive information set used to describe fault-related features, and can include fault causes, impact levels, and involved lines, etc. The method of determining the fault analysis information of the circuit system based on the operation monitoring data can be that professionals manually analyze the operation monitoring data to determine the fault analysis information of the circuit system, or that the operation monitoring data is input into a pre-built fault analysis model, and the fault analysis information of the circuit system is determined based on the output results of the fault analysis model.

[0044] In the technical solution, optionally, when a fault is detected in the circuit system, determining the fault analysis information of the circuit system according to the operation monitoring data includes:

[0045] When a fault is detected in the circuit system, the operation monitoring data is input into a pre-built fault analysis model, and the fault analysis information of the circuit system is determined based on the output result of the fault analysis model; wherein the fault analysis model is constructed based on the operation monitoring data and / or the knowledge graph of the circuit system.

[0046] The fault analysis model can be a pre-built artificial intelligence model for determining the fault analysis information of the circuit system. Among them, the artificial intelligence model is a computing structure built based on mathematical algorithms and a large amount of data, which is used to simulate human intelligent behaviors, such as learning, reasoning, and decision-making. It processes and analyzes the input data and outputs prediction results or decision-making suggestions. It is the core part of artificial intelligence technology. It can be understood that the input data of the fault analysis model is the operation monitoring data, and the output data of the fault analysis model is the fault analysis information of the circuit system.

[0047] The fault analysis model can be pre-built by establishing a set of feature words, matching the operation monitoring data, the knowledge graph of the circuit system, and the manually determined fault analysis information with the feature words based on the fuzzy algorithm, establishing a training sample set and performing data matching, and performing feature extraction, training, and test classification according to the degree of matching to finally form a fault analysis model.

[0048] Among them, the knowledge graph is a structured semantic knowledge base that integrates and represents various types of knowledge, aiming to clearly describe information such as entities, the relationships between entities, and the attributes of entities, so as to achieve effective organization, storage, query and utilization of knowledge.

[0049] The benefit of this arrangement of the present scheme is that by inputting the operation monitoring data into a pre-built fault analysis model, the fault analysis model outputs the fault analysis information of the circuit system, which can quickly and accurately determine the fault analysis information of the circuit system, thereby improving the efficiency of determining the fault analysis information and effectively reducing the risk of human misjudgment.

[0050] S103, determining a target grounding mode of the circuit system according to the fault analysis information and a pre-constructed knowledge graph of the circuit system; wherein the knowledge graph includes a grounding mode switching control logic for coping with a circuit system fault;

[0051] The knowledge graph of the circuit system integrates various knowledge related to the circuit system, including various entities related to the circuit system and their attributes, as well as the relationships between entities and between entities and attributes. The inherent logical structure and data association rules of the knowledge graph of the circuit system can represent the grounding mode switching control logic used to deal with circuit system failures.

[0052] The target grounding method may refer to a grounding method that the circuit system needs to adopt to reduce the negative impact caused by the fault when a fault is detected in the circuit system. The grounding method may refer to a method of electrically connecting a part of the circuit system to the earth, such as grounding the power supply side or the load side.

[0053] The target grounding method of the circuit system can be determined by inputting the fault analysis information as input data into a pre-built knowledge graph of the circuit system. The knowledge graph determines and outputs the target grounding method of the circuit system based on a rule engine.

[0054] S104, switching the grounding mode of the circuit system to the target grounding mode.

[0055] The method of switching the grounding mode of the circuit system to the target grounding mode may be to determine the components involved in the target grounding mode and adjust the operating state of the components according to the target grounding mode to switch the grounding mode of the circuit system to the target grounding mode.

[0056] In the technical solution, optionally, after the grounding mode of the circuit system is switched to the target grounding mode, the method further includes:

[0057] Acquiring switching result data of the circuit system;

[0058] The knowledge graph of the circuit system is updated and optimized according to the target grounding mode and the switching result data.

[0059] The switching result data of the circuit system may refer to the operation monitoring data of the circuit system after the grounding mode of the circuit system is switched to the target grounding mode. The method of obtaining the switching result data of the circuit system may be consistent with the method of obtaining the operation monitoring data of the circuit system.

[0060] The method of updating and optimizing the knowledge graph of the circuit system according to the target grounding method and the switching result data can adopt a data-driven iterative update mechanism. Specifically, the switching result data is deeply analyzed to extract key feature information, and these key feature information are compared and evaluated with the theoretical expected effect of the target grounding method. According to the comparative evaluation results, the grounding method switching control logic part in the knowledge graph is corrected, that is, the entity, attribute and relationship information related to the grounding method switching control logic part is updated.

[0061] The benefit of this arrangement of the present scheme is that, by updating and optimizing the knowledge graph of the circuit system according to the target grounding method and the switching result data after switching the grounding method of the circuit system to the target grounding method, a more accurate and practical knowledge basis can be provided for subsequent fault analysis and grounding method decision-making, making the switching control of the grounding method of the entire circuit system more intelligent, efficient and reliable.

[0062] In an embodiment of the present application, operation monitoring data of a circuit system is obtained; wherein the operation monitoring data includes electrical performance data and manual operation data; in the case where a fault is detected in the circuit system, the fault analysis information of the circuit system is determined according to the operation monitoring data; the target grounding mode of the circuit system is determined according to the fault analysis information and a pre-constructed knowledge graph of the circuit system; wherein the knowledge graph includes a grounding mode switching control logic for responding to circuit system faults; and the grounding mode of the circuit system is switched to the target grounding mode. The above-mentioned knowledge graph-based grounding mode switching method can automatically, quickly and accurately determine the target grounding mode of the circuit system according to the fault analysis information of the circuit system and the pre-constructed knowledge graph of the circuit system, effectively improving the intelligence level and reliability of the grounding mode switching decision, thereby ensuring the safe operation of the circuit system.

[0063] Embodiment 2

[0064] Figure 2 It is a flowchart of the process of pre-building the knowledge graph of the circuit system provided by the second embodiment of the present application. This solution makes a better improvement on the above embodiment, and the specific improvement is: the process of pre-building the knowledge graph of the circuit system includes: defining entity objects and attribute objects of the entity objects according to the circuit system; defining and constraining the relationship between the entity objects and the attribute objects to obtain relationship objects; associating the entity objects, the attribute objects and the relationship objects into a ternary array to obtain the knowledge graph of the circuit system.

[0065] like Figure 2 As shown, the specific steps include:

[0066] S201, defining an entity object and an attribute object of the entity object according to the circuit system;

[0067] Entity objects can refer to specific things or concepts that can be clearly identified and defined. According to the way of defining entity objects in circuit systems, entity objects can be defined from the power engineering professional dictionary by using a circuit system-based method using rules and dictionaries.

[0068] Figure 3 is an example diagram of a circuit system provided in Embodiment 2 of the present application. Figure 3 As shown, this is a low voltage DC distribution system, U dc is the DC power supply voltage; P is the positive line, R1 is the line resistance on the positive line; M is the negative line, R2 is the line resistance on the negative line; PE is the grounding protection line, R3 is the line resistance on the grounding protection line; S1 is the direct grounding position switch on the DC power supply side, S2 is the ungrounded position switch on the DC power supply side, S3 is the high-resistance grounding position switch on the DC power supply side, S4 is the contact position switch for grounding on the power supply side and grounding on the load side in the TN (neutral point on the power supply side is directly grounded) system wiring, and S5 is a switch that simulates human body touching the metal shell of the equipment for electric shock; R4 is the position resistance of the high-resistance grounding position switch on the DC power supply side, R5 is the protective grounding resistance of the metal shell of the equipment, R6 is the equivalent resistance of the human body, R7 is the grounding resistance of the equipment and the human body connected at the same potential, R8 is the grounding resistance of the equipment after the same potential connection, and R9 is the grounding resistance on the DC power supply side; point a represents a single-point grounding fault on the P line, and point b represents a leakage fault on the metal shell of the equipment. Therefore, the entity objects defined according to the low-voltage DC power distribution system include but are not limited to U dc , P, R1, M, R2, PE, S1, S2, S3, S4, S5, R4, R5, R6, R7, R8, R9, point a and point b, etc.

[0069] The attribute object may be a collection of information used to describe the characteristics of an entity object. The attribute object of an entity object may be defined by extracting the attribute object of the entity object from the power engineering professional dictionary by comparing and calculating the matching property. For example, for an entity object P, the attribute objects defined include, but are not limited to, specification parameters such as voltage level, current, ripple, harmonics, and ground capacitance current, as well as status parameters such as fault status and line loss.

[0070] S202, defining and constraining the relationship between the entity object and the attribute object to obtain a relationship object;

[0071] A relationship object is an abstract representation used to describe the relationships between entity objects, between entity objects and attribute objects, and between attribute objects. It clarifies how an object is connected to other objects, and that this connection is subject to certain rules and constraints.

[0072] The relationship between entity objects and attribute objects is defined and constrained to obtain a relationship object. The relationship between entity objects and attribute objects can be defined and constrained based on structured data, unstructured data, and experience data of engineering professionals to obtain a relationship object.

[0073] S203, associating the entity object, the attribute object and the relationship object into a ternary array to obtain a knowledge graph of the circuit system.

[0074] A ternary array may be a data structure consisting of three elements, which may be two entity objects and a relationship object between the two, two attribute objects and a relationship object between the two, or one entity object, one attribute object and a relationship object between the two.

[0075] The way to associate entity objects, attribute objects and relationship objects into a ternary array is to create a new empty initial ternary array; traverse all the defined entity objects, and for each entity object, check the attribute objects associated with the entity object and the relationship objects between the two, and use the entity object as the first element of the ternary array, the relationship object as the second element, and the attribute object as the third element, and fill them into the initial ternary array in sequence to form a complete ternary array; for each entity object, check the entity objects associated with it and the relationship objects between the two, and use the first entity object as the first element of the ternary array, the relationship object as the second element, and the other entity object as the third element, and fill them into the initial ternary array in sequence to form a complete ternary array; for each For an attribute object, check the attribute objects associated with it and the relationship objects between the two, take the first attribute object as the first element of the ternary array, the relationship object as the second element, and the other attribute object as the third element, and fill them into the initial ternary array in sequence to form a complete ternary array; during the entire filling process, it is necessary to ensure that each filled-in element is accurate and logical based on the actual operating principle, connection relationship and pre-set rules of the circuit system; each time a filling is completed, a complete ternary array is generated, and the above operation is repeated until all entity objects, attribute objects and relationship objects have been reasonably associated and filled into the corresponding ternary arrays, and finally a ternary array set that completely and accurately reflects the circuit system is obtained, thereby constructing a knowledge graph of the circuit system.

[0076] In the present technical solution, optionally, after combining entity objects, attribute objects and relationship objects into a ternary array to obtain the knowledge graph of the circuit system, the knowledge graph of the circuit system can also be updated and optimized based on a comprehensive evaluation method and an expert scoring method.

[0077] The advantage of this arrangement of the present scheme is that by defining entity objects, attribute objects, and relationship objects according to the circuit system and associating them into a ternary array, a knowledge graph of the circuit system is obtained, which can achieve highly structured integration and efficient management of the circuit system knowledge.

[0078] Embodiment 3

[0079] Figure 4 It is a flow chart of the grounding mode switching method based on knowledge graph provided in the third embodiment of the present application. This scheme makes a better improvement on the above embodiment, and the specific improvement is: the fault analysis information includes the fault cause, and the attribute object includes the fault state; accordingly, according to the fault analysis information and the pre-constructed knowledge graph of the circuit system, the target grounding mode of the circuit system is determined, including: according to the fault cause, at least one target entity object and the associated fault state are determined in the pre-constructed knowledge graph of the circuit system; the target grounding mode is determined according to the target entity object, the fault state and the preset matching rule.

[0080] like Figure 4 As shown, the specific steps include:

[0081] S401, obtaining operation monitoring data of a circuit system; wherein the operation monitoring data includes electrical performance data and human operation data;

[0082] S402, when a fault is detected in the circuit system, determining fault analysis information of the circuit system according to the operation monitoring data;

[0083] S403, determining at least one target entity object and an associated fault state in a pre-constructed knowledge graph of the circuit system according to the fault cause;

[0084] The cause of a fault can refer to the fundamental factor that causes a circuit system to fail. It is a tracing back to the origin of the fault and may be caused by a variety of situations. The fault state is used to describe the specific manifestation of a fault in an entity object.

[0085] A method of determining at least one entity object and an associated fault state in a pre-constructed knowledge graph of a circuit system based on the cause of the fault can be used as a clue to perform deep search and matching in the pre-constructed knowledge graph of the circuit system, and an entity object whose matching degree between its fault state and the cause of the fault exceeds a preset matching degree threshold is determined as a target entity object.

[0086] S404, determining a target grounding mode according to the target entity object, the fault state and a preset matching rule;

[0087] The target grounding method is determined according to the target entity object, fault state and preset matching rules. The grounding method that should be adopted by each entity object in each fault state is pre-defined, and the grounding method that should be adopted by the target entity object in the current fault state is determined as the candidate grounding method, and the evaluation score of each candidate grounding method is determined, and the candidate grounding method with the highest evaluation score is determined as the target grounding method.

[0088] In this technical solution, optionally, the fault analysis information also includes the impact degree and / or the involved lines;

[0089] Accordingly, determining a target grounding mode according to the target entity object, the fault state and a preset matching rule includes:

[0090] Determine at least one candidate grounding mode according to the target entity object and the fault state;

[0091] A target grounding mode is determined from among the candidate grounding modes according to the impact degree and / or the involved lines.

[0092] At least one candidate grounding method is determined based on the target entity object and the fault state. The grounding method that the target entity object should adopt in the current fault state can be determined as the candidate grounding method based on the pre-defined grounding methods that each entity object should adopt in each fault state.

[0093] The degree of impact may refer to a quantitative or graded description of the adverse effects of a fault in a circuit system on the operation, performance and safety of the entire circuit system and / or a specific part thereof; the involved line may refer to the line portion that is directly affected by the fault or is associated with the abnormal phenomenon caused by the fault when a fault occurs in the circuit system.

[0094] The method of determining the target grounding method among the candidate grounding methods according to the degree of influence and / or the lines involved can be adopted. The weight of each candidate grounding method can be determined according to the degree of influence and / or the lines involved, and the number of repetitions of each candidate grounding method can be counted. The evaluation score of each candidate grounding method is calculated according to the weight and the number of repetitions of each candidate grounding method, and finally the candidate grounding method with the highest evaluation score is determined as the target grounding method.

[0095] The benefit of this arrangement of the present solution is that by determining the target grounding method among the candidate grounding methods according to the degree of impact and / or the lines involved, the target grounding method suitable for the actual fault scenario of the circuit system can be determined more accurately, thereby improving the effectiveness and pertinence of the grounding strategy.

[0096] like Figure 3 As shown in the figure, it is assumed that the current grounding mode of the low-voltage DC power distribution system is a grounding mode in which the DC power supply side is not grounded, which is manifested by S2 being closed and S1, S3, S4 and S5 being disconnected; when a fault occurs at point a, since the low-voltage DC power distribution system does not form a loop, the contact current at point a is very small, and the RCD (Residual Current Device) integrated in the intelligent device CurrentDevice, residual current operated protector) may not be able to collect the contact current, resulting in no response of the node circuit breaker, and thus the failure to cut off the fault line in time. Abnormal potential may continue to exist at point a, posing a great safety threat, such as the subsequent evolution of double-point grounding or inter-pole short circuit fault; according to the fault analysis information and the pre-constructed knowledge graph of the low-voltage DC distribution system, it can be determined that the current target grounding method of the low-voltage DC distribution system is the grounding method through high-resistance grounding, the low-voltage DC distribution system S2 is disconnected and S3 is closed, and the low-voltage DC distribution system forms a loop. The existence of high resistance increases the contact current in the line but does not endanger personal safety, and the RCD can detect the contact current and make the node circuit breaker react; after the fault is eliminated, according to the fault analysis information and the pre-constructed knowledge graph of the low-voltage DC distribution system, it can be determined that the current target grounding method of the low-voltage DC distribution system is the grounding method without grounding on the DC power supply side, and the low-voltage DC distribution system switches the grounding method to restore the original state.

[0097] S405, switching the grounding mode of the circuit system to the target grounding mode.

[0098] The benefit of this arrangement of the present solution is that by determining at least one target entity object and the associated fault state in the pre-built knowledge graph of the circuit system according to the cause of the fault, and determining the target grounding method according to the target entity object, the fault state and the preset matching rules, the accuracy and adaptability of the grounding method selection can be greatly improved. When faced with complex and diverse circuit faults, precise positioning based on the knowledge graph can quickly focus on the key entities related to the fault and their specific fault manifestations, avoiding blind troubleshooting and trial and error.

[0099] Embodiment 4

[0100] Figure 5 Schematic diagram of the structure of the grounding mode switching device based on the knowledge graph provided in the fourth embodiment of the present application. Figure 5 As shown, the device comprises:

[0101] The monitoring data acquisition module 510 is used to acquire the operation monitoring data of the circuit system; wherein the operation monitoring data includes electrical performance data and human operation data;

[0102] A fault analysis module 520, configured to determine fault analysis information of the circuit system according to the operation monitoring data when a fault is detected in the circuit system;

[0103] A grounding mode determination module 530, configured to determine a target grounding mode of the circuit system according to the fault analysis information and a pre-constructed knowledge graph of the circuit system; wherein the knowledge graph includes a grounding mode switching control logic for coping with a circuit system fault;

[0104] The grounding mode switching module 540 is used to switch the grounding mode of the circuit system to the target grounding mode.

[0105] In an embodiment of the present application, a monitoring data acquisition module is used to acquire operation monitoring data of a circuit system; wherein the operation monitoring data includes electrical performance data and manual operation data; a fault analysis module is used to determine the fault analysis information of the circuit system according to the operation monitoring data when a fault is detected in the circuit system; a grounding mode determination module is used to determine the target grounding mode of the circuit system according to the fault analysis information and a pre-constructed knowledge graph of the circuit system; wherein the knowledge graph includes a grounding mode switching control logic for responding to circuit system faults; a grounding mode switching module is used to switch the grounding mode of the circuit system to the target grounding mode. The above-mentioned knowledge graph-based grounding mode switching device can automatically, quickly and accurately determine the target grounding mode of the circuit system according to the fault analysis information of the circuit system and the pre-constructed knowledge graph of the circuit system, effectively improving the intelligence level and reliability of the grounding mode switching decision, thereby ensuring the safe operation of the circuit system.

[0106] The grounding mode switching device based on the knowledge graph in the embodiment of the present application can be a device, or a component, integrated circuit, or chip in a terminal. The device can be a mobile electronic device or a non-mobile electronic device. Exemplarily, the mobile electronic device can be a mobile phone, a tablet computer, a laptop computer, a PDA, an in-vehicle electronic device, a wearable device, an ultra-mobile personal computer (ultra-mobile personal computer, UMPC), a netbook or a personal digital assistant (personal digital assistant, PDA), etc., and the non-mobile electronic device can be a server, a network attached storage (Network Attached Storage, NAS), a personal computer (personal computer, PC), a television (television, TV), a teller machine or a self-service machine, etc., which is not specifically limited in the embodiment of the present application.

[0107] The knowledge graph-based grounding mode switching device in the embodiment of the present application may be a device having an operating system. The operating system may be an Android operating system, an IOS operating system, a Linux system, or other possible operating systems, which are not specifically limited in the embodiment of the present application.

[0108] The knowledge graph-based grounding mode switching device provided in the embodiment of the present application can implement the various processes implemented in the above-mentioned embodiments one to three. To avoid repetition, they will not be repeated here.

[0109] Embodiment 5

[0110] like Figure 6As shown, an embodiment of the present application also provides an electronic device 600, including a processor 601, a memory 602, and a program or instruction stored in the memory 602 and executable on the processor 601. When the program or instruction is executed by the processor 601, each process of the above-mentioned knowledge graph-based grounding mode switching device embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0111] It should be noted that the electronic devices in the embodiments of the present application include the mobile electronic devices and non-mobile electronic devices mentioned above.

[0112] Embodiment 6

[0113] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned knowledge graph-based grounding mode switching device embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0114] The processor is a processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0115] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0116] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM / RAM, a disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0117] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

[0118] The above are only preferred embodiments of the present application and the technical principles used. The present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions that can be made by those skilled in the art will not deviate from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the claims.

Claims

1. A grounding mode switching method based on knowledge graph, characterized in that: The method comprises: Acquiring operation monitoring data of the circuit system; wherein the operation monitoring data includes electrical performance data and human operation data; In the case where a fault is detected in the circuit system, determining fault analysis information of the circuit system according to the operation monitoring data; Determine a target grounding mode of the circuit system according to the fault analysis information and a pre-constructed knowledge graph of the circuit system; wherein the knowledge graph includes a grounding mode switching control logic for coping with a circuit system fault; The grounding mode of the circuit system is switched to the target grounding mode.

2. The grounding mode switching method based on knowledge graph according to claim 1 is characterized in that: The process of pre-building the knowledge graph of the circuit system includes: defining an entity object and an attribute object of the entity object according to the circuit system; Defining and constraining the relationship between the entity object and the attribute object to obtain a relationship object; The entity object, the attribute object and the relationship object are associated into a ternary array to obtain a knowledge graph of the circuit system.

3. The grounding mode switching method based on knowledge graph according to claim 2 is characterized in that: The fault analysis information includes the fault cause, and the attribute object includes the fault status; Accordingly, determining a target grounding mode of the circuit system according to the fault analysis information and the pre-constructed knowledge graph of the circuit system includes: Determining at least one target entity object and an associated fault state in a pre-constructed knowledge graph of the circuit system according to the fault cause; A target grounding mode is determined according to the target entity object, the fault state and a preset matching rule.

4. The grounding mode switching method based on knowledge graph according to claim 3 is characterized in that: The fault analysis information also includes the impact degree and / or the involved lines; Accordingly, determining a target grounding mode according to the target entity object, the fault state and a preset matching rule includes: Determine at least one candidate grounding mode according to the target entity object and the fault state; A target grounding mode is determined from among the candidate grounding modes according to the impact degree and / or the involved lines.

5. The grounding mode switching method based on knowledge graph according to claim 1 is characterized in that: After acquiring the operation monitoring data of the circuit system, the method further includes: The knowledge graph of the circuit system is updated and optimized according to the operation monitoring data.

6. The grounding mode switching method based on knowledge graph according to claim 1 is characterized in that: In the case where a fault is detected in the circuit system, determining fault analysis information of the circuit system according to the operation monitoring data includes: When a fault is detected in the circuit system, the operation monitoring data is input into a pre-built fault analysis model, and the fault analysis information of the circuit system is determined based on the output result of the fault analysis model; wherein the fault analysis model is constructed based on the operation monitoring data and / or the knowledge graph of the circuit system.

7. The grounding mode switching method based on knowledge graph according to claim 1 is characterized in that: After the grounding mode of the circuit system is switched to the target grounding mode, the method further includes: Acquiring switching result data of the circuit system; The knowledge graph of the circuit system is updated and optimized according to the target grounding mode and the switching result data.

8. A grounding mode switching device based on knowledge graph, characterized in that: The device comprises: A monitoring data acquisition module, used to acquire operation monitoring data of the circuit system; wherein the operation monitoring data includes electrical performance data and human operation data; a fault analysis module, configured to determine fault analysis information of the circuit system according to the operation monitoring data when a fault is detected in the circuit system; A grounding mode determination module, configured to determine a target grounding mode of the circuit system according to the fault analysis information and a pre-constructed knowledge graph of the circuit system; wherein the knowledge graph includes a grounding mode switching control logic for coping with a circuit system fault; The grounding mode switching module is used to switch the grounding mode of the circuit system to the target grounding mode.

9. An electronic device, characterized in that: It includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor. When the program or instruction is executed by the processor, the steps of the grounding mode switching method based on the knowledge graph are implemented as described in any one of claims 1 to 7.

10. A readable storage medium, characterized in that: The readable storage medium stores a program or instruction, and when the program or instruction is executed by the processor, the steps of the grounding mode switching method based on the knowledge graph are implemented as described in any one of claims 1-7.

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