Substation equipment one-key sequence control method based on machine learning and expert rule base, storage medium and electronic equipment

Abstract

The invention discloses a substation equipment one-key sequence control method based on machine learning and an expert rule base, a storage medium and electronic equipment, and the method comprises the steps: analyzing equipment and a connection relation in a monitoring system; establishing an expert rule base comprising a ticket forming rule base and a safety rule base; establishing a sequence control operation ticket generation model; completing Chinese word segmentation and part-of-speech tagging of an operation ticket through a hidden Markov model, and forming a one-key sequence control mode; and setting the related equipment primitives as one-key sequential control operation. According to the method, a detailed transformer substation equipment topological relation model is established by analyzing equipment in a transformer substation monitoring system and a connection relation of the equipment, an expert rule base comprising a ticket forming rule base and a safety rule base is constructed accordingly, and the operation ticket content is intelligently extracted and analyzed by utilizing a hidden Markov model of machine learning. The automatic generation of the operation order is realized; and the operation performance and efficiency of one-key sequential control are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power system automation control, and in particular to a one-key sequential control method for substation equipment based on machine learning and an expert rule base, a storage medium and an electronic device. Background Art

[0002] At present, the operation and management of substations is composed of multiple collaborative processes of related equipment in the station. For some hub substations, their composition structure is complex and the switching operation workload is large. One-button sequential control is a way for the power system to realize automatic switching operation. It has the characteristics of intelligence, convenience and high efficiency. It can realize all processes such as automatic judgment, intelligent verification to prevent false operation and result judgment during the operation of power equipment. With the acceleration of substation construction and the reduction of operating personnel, the development of one-button sequential control of substation equipment will gradually replace manual operation and become the mainstream.

[0003] In the traditional one-button sequential control system, substation operation tickets have problems such as difficult management, slow ticket issuance, and easy errors in ticket issuance. After adding programmatic operations such as machine learning and intelligent algorithms to the operation ticket system, the execution efficiency of substation line power outage, busbar power outage, and main transformer power outage will be greatly improved.

[0004] In view of the increasing operating pressure of existing substations and the increasing complexity of the intermediate links of equipment control, in order to further improve the operating performance and efficiency of one-key sequential control, a one-key sequential control method for substation equipment based on machine learning and expert rule base was invented. The machine learning technology is combined with the expert rule base to realize the one-key sequential control of substation equipment, which is of great significance for improving the efficiency of substation dispatching operations. The operation management of the substation is composed of multiple collaborative processes of related equipment in the station. For some hub substations, its composition structure is complex and the workload of switching operations is large. In the traditional one-key sequential control system, substation operation tickets have problems such as difficult management, slow ticket issuance, and easy errors in ticket issuance. Summary of the invention

[0005] The purpose of the present invention is to provide a one-key sequential control method, storage medium and electronic device for substation equipment based on machine learning and expert rule base, which can alleviate the operating pressure of substations and solve the problems of difficult management of existing substation operation tickets, slow ticket issuance and easy errors in ticket issuance.

[0006] The technical solution adopted by the present invention is:

[0007] A one-key sequential control method for substation equipment based on machine learning and expert rule base comprises the following steps:

[0008] Step 1: Analyze the equipment and connection relationships in the monitoring system and establish a substation equipment topology relationship model: Use the distances between substation transformers, busbars, circuit breakers, and disconnector devices contained in the substation monitoring system data and the closing and opening ring wiring methods between the devices to establish a substation equipment topology relationship model;

[0009] Step 2, establishing an expert rule base including a ticketing rule base and a safety rule base: establishing an expert rule base according to the equipment interval closing and unclosing wiring mode in the established substation equipment topology relationship model, the expert rule base mainly includes a ticketing rule expert base and a safety rule expert base;

[0010] Step 3: Use machine learning to extract the operation ticket content. Based on steps 1 and 2, establish a sequential control operation ticket generation model:

[0011] After receiving the operation ticket task issued by the substation dispatch center, the substation monitoring system uses the hidden Markov model of machine learning to parse the content of the operation ticket; it calls the corresponding equipment type and equipment description field from the expert rule library, and searches and processes the difference items in combination with the real-time status and operation principles of the equipment. On this basis, a one-key sequential control operation ticket generation model is established to realize the intelligent generation of operation tickets;

[0012] Furthermore, when the dispatch center issues a dispatch order, the hidden Markov model is used to retrieve key data such as equipment status, operation type, operation sequence, safety constraints, etc. from the expert rule library for in-depth data analysis; based on this data, the one-key sequential control operation ticket generation model can automatically generate an operation ticket that meets the requirements of the regulations;

[0013] Step 4: Complete the Chinese word segmentation and part-of-speech tagging of the operation ticket through the hidden Markov model, generate the one-key sequential control operation ticket of the substation equipment, and form a one-key sequential control mode;

[0014] Step 5: Pass the equipment operation instructions to the monitoring system via the IEC104 protocol:

[0015] Among them, when the IEC104 protocol is applied to the one-key sequential control of substation equipment, the master station and substation are set as the client and server respectively. The 104 protocol communication is used to interact with the computer monitoring system for data. The master station has the characteristics of automatically judging and processing data information. The substation monitoring system end is set as the master station, and the operation ticket system end is used as the substation. When multiple substations are accessed at the same time, the security level is divided by IP address, port and MAC address. When there are duplicate IP (Internet Protocol) addresses, the execution of this control command is prohibited.

[0016] Step 6: When the monitoring system receives the device operation instruction, the monitoring system parses the device operation instruction and sets the relevant device graphic element as a one-key sequential control operation in its system device graphic display interface.

[0017] Step 7: The operator can perform corresponding opening and closing operations on the device and perform remote operations on the device according to the one-button sequential control operation of the device.

[0018] The step 1 comprises the following steps:

[0019] The substation equipment diagramming method is applied to the equipment topology vector diagram design. The substation equipment topology relationship model file is parsed. Different equipment graphics in the substation equipment topology relationship model file are used to clarify the display format and location coordinates of different equipment in the substation, and the connection sequence of graphics representing different equipment in the substation is determined. The main node diagram of the substation is generated using the connection relationship of many equipment, and many switches in the substation are established into a node set. The electrical network topology diagram is established based on the connection relationship of branches such as busbars, lines, transformers, etc. in the topology network, and the connection relationship between points.

[0020] The step 1 describes the relationship attributes between nodes as follows: using nodes to represent equipment entities such as switches, transformers, switches, and reactors in the substation; using edges in the substation equipment topology relationship model to represent the relationship between different substation equipment; wherein the topological relationship in the model has directionality, such as when substation equipment A and equipment B are unidirectionally connected or bidirectionally connected, A→B and Representation; The attributes of the substation equipment entity points and equipment relationships are reflected through attributes. The configuration information, equipment name and other attributes of the substation equipment can be dynamically set.

[0021] The ticket rule base in step 2 includes dispatching procedures, equipment state conversion, switching operations, and operation instructions. The ticket rule base is established according to the equipment operation rules; the rules for establishing the ticket rule base include the following steps:

[0022] Step 2.1 Primary equipment operation rules: Set the transformer and line power outage in the substation as the primary equipment operation rules of the substation. When the line power outage position is between the substation section and the power transmission end, set the opening and closing loop and power outage on the power transmission end side and the substation end side respectively; when the transformer stops power transmission, the neutral point grounding switch needs to be closed.

[0023] Step 2.2 Secondary equipment operation rules: The activation and deactivation of secondary pressure plates are the main operation rules for substation secondary equipment. The secondary maintenance and safety rule base is used to identify the association domain, maintenance domain and impact domain of substation secondary equipment, and to clarify the secondary equipment sequence.

[0024] The establishment of the safety rule base in the step 2 includes real-time verification of equipment status, electrical error prevention of topological logic, historical ticket association verification, and standardization verification of ticket terms; according to the operating tasks of each device in the substation and the status of the equipment and its related equipment, the operation rule base is matched to obtain the operation sequence and generate an operation ticket; the safety rule base is established by mining the substation operating procedures, power grid operating procedures and power grid dispatching rules using the association rule method; the rules for establishing the ticket rule base include the following steps: establishing safety verification rules for substation equipment including real-time verification of equipment status, electrical error prevention of topological logic, historical ticket association verification, standardization verification of ticket terms, etc., according to the operating tasks of each device and the status of the equipment and its related equipment, the operation rule base is matched to obtain the operation sequence and generate an operation ticket.

[0025] In step 4, the hidden Markov model is used to realize the intelligent generation of operation tickets and one-key sequential control of substation equipment. It is necessary to fully consider the interaction mode of each device in the substation and establish a one-key sequential control mode for the collaborative operation of the substation and the production command center; wherein, the accurate recognition of the content of the operation ticket needs to be based on Chinese word segmentation, and the accuracy of Chinese word segmentation can improve the accuracy of the word segmentation of the operation ticket text; the sequence standard of Chinese word segmentation is represented by the sequence standard of characters, which can improve the processing of unregistered words; wherein, the word position of the character is divided into four types: S, B, M, and E according to the position of the character in the word, wherein S and B represent the word and the beginning of the word respectively, and M and E represent the middle and the end of the word respectively;

[0026] When the number of words in a Chinese sentence is n, the word segmentation principle is expressed using the following formula:

[0027]

[0028] In the formula, y k ∈{S, B, M, E} represents the word position when the word position is k, and the word positions of n and j contexts are used as the word position features of the operation ticket; y1, y2, ..., y n Represents the token or word in the word segmentation result; x1, x2, …, x n Represents the characters in the input sentence. The hidden Markov model is used to establish Chinese word segmentation by word formation. The characters and texts correspond to observation values ​​and observation sequences respectively, and the Chinese sentences correspond to observation sequences; the output of the Chinese word segmentation is set as the input of the part-of-speech tagging, and the marked part-of-speech is used as the input of the hidden Markov model; the hidden Markov model is used to implement the part-of-speech tagging of the operation ticket, and the words and texts in the operation ticket are used as observation values ​​and observation sequences respectively; {s1, s2, s3, s4, s5, s6} = {v, n, ns, p, d, w} is used to represent the state space of the hidden Markov model during part-of-speech tagging, and the non-repetitive set established by all words is used. The observation space {o1, o2, …, o M}express.

[0029] A computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the device where the computer-readable storage medium is located executes the one-key sequential control method for substation equipment based on machine learning and expert rule base as described above.

[0030] An electronic device comprises: a memory and a processor, wherein the memory stores a program that can be run on the processor, and when the processor executes the program, the one-key sequential control method for substation equipment based on machine learning and expert rule base as described above is implemented.

[0031] The present invention sets up a one-key sequential control technical solution for substation equipment based on machine learning and expert rule base, analyzes the equipment and its connection relationship in the substation monitoring system, establishes a detailed substation equipment topology relationship model, and constructs an expert rule base including a ticket rule base and a security rule base. On this basis, the hidden Markov model of machine learning is used to intelligently extract and parse the content of the operation ticket, and the automatic generation of the operation ticket is realized by combining the real-time status and operation principles of the equipment. Reduce the intermediate links of equipment control; improve the operating performance and efficiency of one-key sequential control. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0033] Figure 1 is a flow chart of the present invention;

[0034] Figure 2 It is a structural schematic diagram of the topological relationship of the substation equipment of the present invention. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] like Figure 1 and 2 As shown, the present invention comprises the following steps:

[0037] Step 1: Analyze the equipment and connection relationships in the monitoring system and establish a substation equipment topology relationship model: Use the distances between substation transformers, busbars, circuit breakers, disconnectors and other equipment contained in the substation monitoring system data and the closing and opening ring wiring methods between the equipment to establish a substation equipment topology relationship model;

[0038] Among them, the topological relationship model reflects the physical connection relationship between substation equipment, and converts the numerous equipment covered by the substation into a data model with topological relationships.

[0039] The substation equipment diagramming method is applied to the equipment topology vector diagram design. The substation equipment topology relationship model file is parsed, and the display format and location coordinates of different equipment in the substation are clarified by using different equipment graphics in the model file. The connection sequence of graphics representing different equipment in the substation is determined, and the main node diagram of the substation is generated by using the connection relationship of many equipment, avoiding the use of manual drawing and associating equipment models, which have the defect of excessive workload.

[0040] The network topology analysis method is used to establish the substation equipment topology relationship model to achieve the storage of massive equipment nodes. The substation equipment topology relationship analysis used is to establish a node set for many switches in the substation, and establish an electrical network topology diagram based on the connection relationship between branches such as busbars, lines, transformers, etc. in the topology network, and the connection relationship between points.

[0041] The present invention describes the relationship attributes between nodes as follows: nodes are used to represent equipment entities such as switches, transformers, switches, and reactors in the substation; edges in the topological relationship model are used to represent the relationship between different substation equipment. Among them, the topological relationship in the model has directionality. For example, when substation equipment A and equipment B are unidirectionally connected or bidirectionally connected, A→B and The attributes of the substation equipment entity points and equipment relationships are reflected through attributes, and the configuration information, equipment name and other attributes of the substation equipment can be dynamically set.

[0042] Step 2, establish an expert rule base including a ticket rule base and a safety rule base: establish an expert rule base based on the equipment interval closing and unclosing wiring method in the established substation equipment topology relationship model, and the expert rule base mainly includes a ticket rule expert base and a safety rule expert base.

[0043] The ticket-making rule base in step 2 includes dispatching procedures, equipment state conversion, switching operations, and operation instructions, and the ticket-making rule base is established based on the equipment operation rules.

[0044] The rules for establishing the ticket rule base in step 2 include the following steps:

[0045] Step 2.1 Primary equipment operation rules: Set the transformer and line power outage in the substation as the primary equipment operation rules of the substation. When the line power outage position is between the substation section and the power transmission end, set the opening and closing loop and power outage on the power transmission end side and the substation end side respectively; when the transformer stops power transmission, the neutral point grounding switch needs to be closed.

[0046] Step 2.2 Secondary equipment operation rules: The activation and deactivation of secondary pressure plates are the main operation rules for substation secondary equipment. The secondary maintenance and safety rule base is used to identify the association domain, maintenance domain and impact domain of substation secondary equipment, and to clarify the secondary equipment sequence.

[0047] The establishment of safety verification rules in step 2 includes real-time verification of equipment status, electrical error prevention of topological logic, historical ticket association verification, and standardization verification of ticket terms; according to the operation tasks of each device in the substation and the status of the equipment and its related equipment, the operation rule library is matched to obtain the operation sequence and generate an operation ticket.

[0048] The safety rule base in step 2 is established by mining substation operating procedures, power grid operating procedures and power grid dispatching rules using an association rule method.

[0049] The rules for establishing the ticket rule base in step 2 include the following steps:

[0050] Establish safety verification rules for substation equipment, including real-time verification of equipment status, electrical error prevention of topological logic, historical ticket association verification, and standardization verification of ticket terminology. According to the operating tasks of each device and the status of the equipment and its related equipment, match the operation rule library to obtain the operation sequence and generate an operation ticket.

[0051] Step 3: Use machine learning to extract the operation ticket content. Based on steps 1 and 2, establish a sequential control operation ticket generation model:

[0052] After receiving the operation ticket task issued by the substation dispatching center, the substation monitoring system uses the hidden Markov model of machine learning to extract the operation ticket content, calls the equipment type and equipment description fields from the expert rule library to form equipment information, and uses the expert rule library to search for difference items based on equipment status changes and equipment operation principles to establish a one-key sequential control operation ticket generation model.

[0053] According to the real-time status of the equipment in the substation monitoring system and the topological relationship model of the substation equipment, when the dispatching center issues a dispatching command, the hidden Markov model of machine learning is used to retrieve relevant data such as equipment status, operation type, operation sequence, safety constraints, etc. from the expert rule base to realize the analysis of relevant data, and generate an intelligent ticket model based on the expert rule base to realize the automatic generation of operation tickets related to the procedures.

[0054] To use hidden Markov models to realize intelligent generation of operation tickets and one-key sequential control of substation equipment, it is necessary to fully consider the interaction mode of various equipment in the substation and establish a one-key sequential control mode for collaborative operation between the substation and the production command center.

[0055] Among them, accurate recognition of the content of the operation ticket requires Chinese word segmentation as a basis, and the accuracy of Chinese word segmentation can improve the accuracy of the operation ticket text segmentation.

[0056] Using the sequence standard of characters to represent the sequence standard of Chinese word segmentation can improve the processing of unregistered words. Among them, the word position of characters is divided into four types: S, B, M, and E according to the position of characters in the word, among which S and B represent the word and the beginning of the word respectively, and M and E represent the middle and the end of the word respectively.

[0057] When the number of words in a Chinese sentence is n, the word segmentation principle is expressed using the following formula:

[0058]

[0059] In the formula, yk∈{S, B, M, E} represents the word position when the word position is k, and the word positions of n and j contexts are used as the word position features of the operation ticket. The hidden Markov model is used to establish Chinese word segmentation by word formation. The word and text correspond to the observation value and observation sequence respectively, and the Chinese sentence is corresponded to the observation sequence.

[0060] The output of Chinese word segmentation is set as the input of part-of-speech tagging, and the tagged part-of-speech is used as the input of the hidden Markov model. The hidden Markov model is used to implement the part-of-speech tagging of the operation ticket, and the words and texts in the operation ticket are used as observation values ​​and observation sequences respectively. The state space of the hidden Markov model part-of-speech tagging is represented by {s1, s2, s3, s4, s5, s6} = {v, n, ns, p, d, w}, and the non-repetitive set established by all words is represented by the observation space {o1, o2, ..., oM}.

[0061] Step 4: Use the hidden Markov model to complete the Chinese word segmentation and part-of-speech tagging of the operation ticket, generate the one-key sequential control operation ticket for the substation equipment, and form a one-key sequential control mode.

[0062] Step 5: Pass the equipment operation instructions to the monitoring system via the IEC104 protocol:

[0063] Among them, when the IEC104 protocol is applied to the one-key sequential control of substation equipment, the master station and substation are set as the client and server respectively. The 104 protocol communication is used to interact with the computer monitoring system for data. The master station has the characteristics of automatically judging and processing data information. The substation monitoring system end is set as the master station, and the operation ticket system end is used as the substation. When multiple substations are accessed at the same time, the security level is divided by IP address, port and MAC address. When there are duplicate IP (Internet Protocol) addresses, the execution of this control command is prohibited.

[0064] Step 6: When the monitoring system receives the device operation instruction, the monitoring system parses the device operation instruction and sets the relevant device graphic element as a one-key sequential control operation in its system device graphic display interface.

[0065] Step 7: The operator can perform corresponding opening and closing operations on the device and perform remote operations on the device according to the one-button sequential control operation of the device.

[0066] The present invention realizes part-of-speech tagging of operation tickets and data parsing of ticket-making rules and safety rules in the expert rule base based on machine learning of hidden Markov models. The RNN recurrent neural network can be used to complete Chinese word segmentation and part-of-speech tagging of operation tickets; it can effectively alleviate the operating pressure of substations; it can reduce the intermediate links of equipment control; it can reduce the difficulty of operation ticket management, improve ticket issuance efficiency, improve accuracy; and improve the efficiency of substation dispatching operation execution.

[0067] A computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the device where the computer-readable storage medium is located executes the one-key sequential control method for substation equipment based on machine learning and expert rule base as described above. The computer program includes computer program code, which may be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory and other memory.

[0068] An electronic device comprises: a memory and a processor, wherein the memory stores a program that can be run on the processor, and when the processor executes the program, the one-key sequential control method for substation equipment based on machine learning and expert rule base as described above is implemented.

[0069] If the module / unit integrated in the electronic device described in this application is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware devices through a computer program. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of each of the above-mentioned method embodiments can be implemented.

[0070] Furthermore, the computer-readable storage medium may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function, etc.; the data storage area may store data created according to the use of the blockchain node, etc.

[0071] Computer-readable instructions are stored in the computer-readable storage medium, and the computer-readable instructions are executed by a processor in the electronic device to implement the one-key sequential control method for substation equipment based on machine learning and expert rule base described in any of the above embodiments.

[0072] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0073] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0074] The following is verified by comparison with the prior art, and the specific structure is shown in the following table. It can be seen that the method of the present invention is not only greatly improved in accuracy, but also in efficiency and speed compared with the prior art.

[0075]

[0076] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the patent application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent application shall be subject to the attached claims.

[0077] It should be noted that the terms "including" and "having" and any variations thereof in the specification and claims of the present application are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units that are not explicitly listed or inherent to these processes, methods, products or apparatuses.

[0078] Note that the above are only preferred embodiments of the present invention and the principles of the application technology. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention is described in more detail through the above embodiments, the present invention is not limited to the specific embodiments described herein, and may include more other effective embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A one-key sequential control method for substation equipment based on machine learning and expert rule base, characterized in that: The steps include: Step 1: Analyze the equipment and connection relationships in the monitoring system and establish a substation equipment topology relationship model: Use the distances between substation transformers, busbars, circuit breakers, and disconnector devices contained in the substation monitoring system data and the closing and opening ring wiring methods between the devices to establish a substation equipment topology relationship model; Step 2, establishing an expert rule base including a ticketing rule base and a safety rule base: establishing an expert rule base according to the equipment interval closing and unclosing wiring mode in the established substation equipment topology relationship model, the expert rule base mainly includes a ticketing rule expert base and a safety rule expert base; Step 3: Use machine learning to extract the operation ticket content. Based on steps 1 and 2, establish a sequential control operation ticket generation model: After receiving the operation ticket task issued by the substation dispatch center, the substation monitoring system uses the hidden Markov model of machine learning to parse the content of the operation ticket; calls the corresponding equipment type and equipment description field from the expert rule library, combines the real-time status and operation principles of the equipment, searches and processes the difference items; on this basis, establishes a one-key sequential control operation ticket generation model to realize the intelligent generation of operation tickets; Furthermore, when the dispatch center issues a dispatch order, the hidden Markov model is used to retrieve key data such as equipment status, operation type, operation sequence, safety constraints, etc. from the expert rule library for in-depth data analysis; based on this data, the one-key sequential control operation ticket generation model can automatically generate an operation ticket that meets the requirements of the regulations; Step 4: Complete the Chinese word segmentation and part-of-speech tagging of the operation ticket through the hidden Markov model, generate the one-key sequential control operation ticket of the substation equipment, and form a one-key sequential control mode; Step 5: Pass the equipment operation instructions to the monitoring system via the IEC104 protocol: Among them, when the IEC104 protocol is applied to the one-key sequential control of substation equipment, the main station and substation are set as the client and server respectively; the 104 protocol communication is used to interact with the computer monitoring system for data, and the main station has the characteristics of automatically judging and processing data information. The substation monitoring system end is set as the main station, and the operation ticket system end is used as the substation; when multiple substations are accessed at the same time, the IP address, port and MAC address are used to divide the security level. When there is a duplicate IP (Internet Protocol, Internet Protocol address, the execution of this control command is prohibited; Step 6: When the monitoring system receives the device operation instruction, the monitoring system parses the device operation instruction and sets the relevant device graphic element as a one-key sequential control operation in its system device graphic display interface; Step 7: The operator can perform corresponding opening and closing operations on the device and perform remote operations on the device according to the one-button sequential control operation of the device.

2. The one-key sequential control method for substation equipment based on machine learning and expert rule base according to claim 1 is characterized in that: The step 1 comprises the following steps: The substation equipment diagramming method is applied to the equipment topology vector diagram design. The substation equipment topology relationship model file is parsed. Different equipment graphics in the substation equipment topology relationship model file are used to clarify the display format and location coordinates of different equipment in the substation, and the connection sequence of graphics representing different equipment in the substation is determined. The main node diagram of the substation is generated using the connection relationship of many equipment, and many switches in the substation are established into a node set. The electrical network topology diagram is established based on the connection relationship of branches such as busbars, lines, transformers, etc. in the topology network, and the connection relationship between points.

3. The one-key sequential control method for substation equipment based on machine learning and expert rule base according to claim 1 is characterized in that: The step 1 describes the relationship attributes between nodes as follows: using nodes to represent equipment entities such as switches, transformers, switches, and reactors in the substation; using edges in the substation equipment topology relationship model to represent the relationship between different substation equipment; wherein the topological relationship in the model has directionality, such as when substation equipment A and equipment B are unidirectionally connected or bidirectionally connected, A→B and Representation; The attributes of the substation equipment entity points and equipment relationships are reflected through attributes. The configuration information, equipment name and other attributes of the substation equipment can be dynamically set.

4. The one-key sequential control method for substation equipment based on machine learning and expert rule base according to claim 2 is characterized in that: The ticket rule base in step 2 includes dispatching procedures, equipment state conversion, switching operations, and operation instructions. The ticket rule base is established according to the equipment operation rules; the rules for establishing the ticket rule base include the following steps: Step 2.1 Primary equipment operation rules: Set the transformer and line power outage in the substation as the primary equipment operation rules of the substation. When the line power outage position is between the substation section and the power transmission end, set the disconnection and power outage at the power transmission end and the substation end respectively; when the transformer is powered off, the neutral point grounding knife needs to be closed; Step 2.2 Secondary equipment operation rules: The activation and deactivation of secondary pressure plates are the main operation rules for substation secondary equipment. The secondary maintenance and safety rule base is used to identify the association domain, maintenance domain and impact domain of substation secondary equipment, and to clarify the secondary equipment sequence.

5. The one-key sequential control method for substation equipment based on machine learning and expert rule base according to claim 2 is characterized in that: The establishment of the safety rule base in the step 2 includes real-time verification of equipment status, electrical error prevention of topological logic, historical ticket association verification, and standardization verification of ticket terms; according to the operating tasks of each device in the substation and the status of the equipment and its related equipment, the operation rule base is matched to obtain the operation sequence and generate an operation ticket; the safety rule base is established by mining the substation operating procedures, power grid operating procedures and power grid dispatching rules using the association rule method; the rules for establishing the ticket rule base include the following steps: establishing safety verification rules for substation equipment including real-time verification of equipment status, electrical error prevention of topological logic, historical ticket association verification, standardization verification of ticket terms, etc., according to the operating tasks of each device and the status of the equipment and its related equipment, the operation rule base is matched to obtain the operation sequence and generate an operation ticket.

6. The one-key sequential control method for substation equipment based on machine learning and expert rule base according to claim 2 is characterized in that: In step 4, the hidden Markov model is used to realize the intelligent generation of operation tickets and one-key sequential control of substation equipment. It is necessary to fully consider the interaction mode of each device in the substation and establish a one-key sequential control mode for the collaborative operation of the substation and the production command center; wherein, the accurate recognition of the content of the operation ticket needs to be based on Chinese word segmentation, and the accuracy of Chinese word segmentation can improve the accuracy of the word segmentation of the operation ticket text; the sequence standard of Chinese word segmentation is represented by the sequence standard of characters, which can improve the processing of unregistered words; wherein, the word position of the character is divided into four types: S, B, M, and E according to the position of the character in the word, wherein S and B represent the word and the beginning of the word respectively, and M and E represent the middle and the end of the word respectively; When the number of words in a Chinese sentence is n, the word segmentation principle is expressed using the following formula: In the formula, y k ∈{S, B, M, E} represents the word position when the word position is k, and the word positions of n and j contexts are used as the word position features of the operation ticket; y1, y2, ..., y n Represents the token or word in the word segmentation result; x1, x2, ..., x n Represents the characters in the input sentence; uses the hidden Markov model to establish Chinese word segmentation by word formation, and the characters and texts correspond to observation values ​​and observation sequences respectively, and the Chinese sentences correspond to observation sequences; the output of the Chinese word segmentation is set as the input of the part-of-speech tagging, and the marked part-of-speech is used as the input of the hidden Markov model; uses the hidden Markov model to realize the part-of-speech tagging of the operation ticket, and the words and texts in the operation ticket are used as observation values ​​and observation sequences respectively; {s1,s2,s3,s4,s5,s6}={v,n,ns,p,d,w} is used to represent the state space of the hidden Markov model during part-of-speech tagging, and the non-repetitive set established by all words is used. The observation space {o1,o2,…,o M }express.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the device where the computer-readable storage medium is located executes the one-key sequential control method for substation equipment based on machine learning and expert rule base as described in any one of claims 1-6.

8. An electronic device, characterized in that: include: A memory and a processor, wherein the memory stores a program that can be run on the processor, and when the processor executes the program, the one-key sequential control method for substation equipment based on machine learning and expert rule base as described in any one of claims 1-6 is implemented.

Images