A business process orchestration method and system based on power grid operation knowledge

Abstract

The present invention provides a business process orchestration method and system based on power grid operation knowledge. The method includes: generating a power domain knowledge model according to multi-source heterogeneous information, functional information and attribute information of power equipment; obtaining the actual requirements in power dispatching services and the operation data of equipment in the power dispatching system; generating a number of business process paths through the power domain knowledge model according to the actual requirements and operation data; obtaining the feasibility index data values of each business process path according to the preset power business domain rules and existing business flow information, and sorting all the business process paths according to the feasibility index data values corresponding to each business process path to obtain the optimal business process path. The present invention does not rely on experts and engineers to construct a power domain knowledge graph, fully applies the equipment function attributes and equipment operation information, and assists in realizing the construction of power dispatching services.

Description

Technical Field

[0001] The present invention relates to the technical field of acquisition and application of power knowledge, and particularly to a business process orchestration method and system based on power grid operation knowledge. Background Art

[0002] Business processes are one of the core elements of enterprise production. Business process orchestration in the power field involves a large amount of professional technology and practical experience, and requires the participation of domain expert engineers to achieve.

[0003] The business process orchestration within the field requires a certain amount of domain knowledge as support. This knowledge is usually mastered by domain experts or engineers and is difficult to achieve a large amount of reuse. Currently, a large number of expert knowledge bases based on domain expert knowledge have been established to solve this problem. However, these databases are usually difficult to update autonomously and do not contain specific device information within the field. And the power equipment in the power field can be used as a basic knowledge source to support the business process orchestration in the power field. Summary of the Invention

[0004] To solve the above problems of the prior art, the present invention provides a business process orchestration method and system based on power grid operation knowledge, which does not rely on experts and engineers to construct a power domain knowledge graph, fully applies the device function attributes and device operation information, and assists in realizing the construction of power dispatching services.

[0005] The first aspect of the present invention provides a business process orchestration method based on power grid operation knowledge, including:

[0006] Obtain multi-source heterogeneous information, function information and attribute information of power equipment, and generate a power domain knowledge model according to the multi-source heterogeneous information, the function information and the attribute information of the power equipment; wherein, the multi-source heterogeneous information includes: operation data, maintenance data, monitoring data, and fault recovery data of power equipment;

[0007] Obtain the actual requirements in the power dispatching service and the operation data of the equipment in the power dispatching system;

[0008] Generate a number of business process paths through the power domain knowledge model according to the actual requirements and the operation data;

[0009] According to the preset power business domain rules and existing business flow information, obtain the feasibility index data values of each business process path, and sort all the business process paths according to the feasibility index data values corresponding to each business process path to obtain the optimal business process path.

[0010] Further, the obtaining of multi-source heterogeneous information, the functional information and attribute information of power equipment, and the generation of a power domain knowledge model according to the multi-source heterogeneous information, the functional information and the attribute information of the power equipment include:

[0011] Collect multi-source heterogeneous information through an adaptive information extraction method, and construct a business process model according to the data characteristics of the multi-source heterogeneous information;

[0012] Extract the functional information and attribute information of power equipment, and establish a mapping relationship between business logic semantic information and hardware equipment through the association between the functional information and the attribute information;

[0013] Generate a power domain knowledge model according to the business process model and the mapping relationship.

[0014] Further, the establishment of the mapping relationship between business logic semantic information and hardware equipment includes:

[0015] Bind each microservice component in the microservice architecture to the hardware equipment used to implement the function of each microservice component to obtain hardware equipment binding data;

[0016] Bind each microservice component to the business logic semantic information of the function of each microservice component to obtain business logic semantic information binding data;

[0017] Obtain the mapping relationship between business logic semantic information and hardware equipment according to the hardware equipment binding data and the business logic semantic information binding data.

[0018] Further, the generation of a number of business process paths according to the actual requirements and the operation data through the power domain knowledge model includes:

[0019] Determine the business start node and the business end node in the power domain knowledge model according to the actual requirements and the operation data;

[0020] Explore paths between the business start node and the business end node to generate a number of business process paths in the power domain knowledge.

[0021] The second aspect of the present invention provides a business process orchestration system based on power grid operation knowledge, including:

[0022] A power domain knowledge model construction module, configured to obtain multi-source heterogeneous information, the functional information and attribute information of power equipment, and generate a power domain knowledge model according to the multi-source heterogeneous information, the functional information and the attribute information of the power equipment; wherein, the multi-source heterogeneous information includes: the operation data, maintenance data, monitoring data, and fault recovery data of power equipment;

[0023] A data acquisition module, configured to acquire the actual requirements in the power dispatching service and the operation data of the devices in the power dispatching system;

[0024] A business process path generation module, configured to generate a number of business process paths according to the actual requirements and the operation data through the power domain knowledge model;

[0025] An optimal business process path selection module, configured to obtain the feasibility index data value of each business process path according to the preset power business domain rules and the existing business flow information, and sort all the business process paths according to the feasibility index data value corresponding to each business process path to obtain the optimal business process path.

[0026] Further, the power domain knowledge model construction module is further configured to:

[0027] Collect multi-source heterogeneous information through an adaptive information extraction method, and construct a business flow model according to the data characteristics of the multi-source heterogeneous information;

[0028] Extract the function information and attribute information of the power equipment, and establish a mapping relationship between the business logic semantic information and the hardware equipment through the association between the function information and the attribute information;

[0029] Generate a power domain knowledge model according to the business flow model and the mapping relationship.

[0030] Further, the power domain knowledge model construction module is further configured to:

[0031] Bind each microservice component in the microservice architecture to the hardware device for implementing the function of each microservice component to obtain hardware device binding data;

[0032] Bind each microservice component to the business logic semantic information of the function of each microservice component to obtain business logic semantic information binding data;

[0033] Obtain the mapping relationship between the business logic semantic information and the hardware device according to the hardware device binding data and the business logic semantic information binding data.

[0034] Further, the business process path generation module is further configured to:

[0035] Determine the business start node and the business end node in the power domain knowledge model according to the actual requirements and the operation data;

[0036] Explore paths between the service start node and the service end node to generate several business process paths in the power domain knowledge.

[0037] A third aspect of the present invention provides an electronic device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the business process orchestration method based on power grid operation knowledge as described in any one of the above first aspects.

[0038] A fourth aspect of the present invention provides a computer-readable storage medium, which includes a stored computer program. When the computer program runs, it controls the device where the computer-readable storage medium is located to execute the business process orchestration method based on power grid operation knowledge as described in any one of the above first aspects.

[0039] Compared with the prior art, the beneficial effects of the embodiments of the present invention are as follows:

[0040] The present invention provides a business process orchestration method and system based on power grid operation knowledge. The method includes: obtaining multi-source heterogeneous information, function information and attribute information of power equipment, and generating a power domain knowledge model according to the multi-source heterogeneous information, the function information and the attribute information of the power equipment. Among them, the multi-source heterogeneous information includes: operation data, maintenance data, monitoring data, and fault recovery data of power equipment; obtaining the actual requirements in power dispatching services and the operation data of equipment in the power dispatching system; through the power domain knowledge model, generating several business process paths according to the actual requirements and the operation data; obtaining the feasibility index data value of each business process path according to the preset power business domain rules and the existing business flow information, and sorting all the business process paths according to the feasibility index data value corresponding to each business process path to obtain the best business process path. The present invention does not rely on experts and engineers to construct a power domain knowledge graph, fully applies the function attributes of equipment and the operation information of equipment, and assists in realizing the construction of power dispatching services. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the present invention, the drawings required for implementation will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0042] Figure 1 is a flowchart of a business process orchestration method based on power grid operation knowledge provided by an embodiment of the present invention;

[0043] Figure 2 It is a flowchart of a business process orchestration method based on power grid operation knowledge provided by another embodiment of the present invention;

[0044] Figure 3 It is a device diagram of a business process orchestration system based on power grid operation knowledge provided by an embodiment of the present invention;

[0045] Figure 4 It is a structural diagram of an electronic device provided by an embodiment of the present invention. Specific embodiments

[0046] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0047] It should be understood that the step numbers used in the text are only for convenient description and do not limit the execution order of the steps.

[0048] It should be understood that the terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless otherwise clearly specified in the context, the singular forms "a", "an" and "the" are intended to include the plural forms.

[0049] The terms "comprising" and "including" indicate the presence of the described features, wholes, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or their combinations.

[0050] The term " / and / " refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0051] The first aspect.

[0052] Please refer to Figure 1 , a specific embodiment of the present invention provides a business process orchestration method based on power grid operation knowledge, including:

[0053] S10. Obtain multi-source heterogeneous information, the function information and attribute information of power equipment, and generate a power domain knowledge model according to the multi-source heterogeneous information, the function information of the power equipment and the attribute information. Among them, the multi-source heterogeneous information includes: the operation data, maintenance data, monitoring data, and fault recovery data of power equipment.

[0054] S20. Obtain the actual requirements in the power dispatching service and the operation data of the equipment in the power dispatching system.

[0055] S30. Through the power domain knowledge model, generate a number of business process paths according to the actual requirements and the operation data.

[0056] S40. According to the preset power business domain rules and the existing business flow information, obtain the feasibility index data values of each business process path, and sort all the business process paths according to the feasibility index data values corresponding to each business process path to obtain the optimal business process path.

[0057] In a specific implementation manner of the embodiment of the present invention, the step S10 includes:

[0058] Collect multi-source heterogeneous information through an adaptive information extraction method, and construct a business flow model according to the data characteristics of the multi-source heterogeneous information.

[0059] Extract the function information and attribute information of power equipment, and establish a mapping relationship between the business logic semantic information and the hardware equipment through the association between the function information and the attribute information.

[0060] Generate a power domain knowledge model according to the business flow model and the mapping relationship.

[0061] Preferably, the establishment of the mapping relationship between the business logic semantic information and the hardware equipment includes:

[0062] Bind each microservice component in the microservice architecture to the hardware equipment used to implement the function of each microservice component to obtain hardware equipment binding data;

[0063] Bind each microservice component to the business logic semantic information of the function of each microservice component to obtain business logic semantic information binding data;

[0064] According to the hardware equipment binding data and the business logic semantic information binding data, obtain the mapping relationship between the business logic semantic information and the hardware equipment.

[0065] In another specific implementation manner of the embodiment of the present invention, the step S30 includes:

[0066] Determine the business start node and the business end node in the power domain knowledge model according to the actual requirements and the operation data;

[0067] Explore paths between the business start node and the business end node to generate several business process paths in the power domain knowledge.

[0068] The method provided by the present invention does not rely on experts and engineers to construct a power domain knowledge graph, fully applies the device function attributes and device operation information, and assists in realizing the construction of power dispatching services.

[0069] Please refer to Figure 2 , another specific embodiment of the present invention provides a business process orchestration method based on power grid operation knowledge, including:

[0070] Step 1: Multi-source heterogeneous information extraction. An adaptive information extraction method is adopted for various data types, data formats, and data representation methods, and a unified extraction knowledge representation model is provided to achieve unified storage and application of different original data. Among them:

[0071] a) The adaptive information extraction method consists of two parts: the information extraction method for basic data types and the information extraction method for extended data types.

[0072] b) The information extraction method for basic data types consists of a numerical information extraction method and a text information extraction method.

[0073] c) The numerical information extraction method is aimed at power dispatching data and device data whose source data is of the data type. The decay window technology is used to cluster the power dispatching data stream to discover the pattern information appearing in the data stream. The patterns at different positions of the data stream are compared and feature compressed, and the power dispatching numerical pattern information is extracted from the similar numerical streams.

[0074] d) The text information extraction method is aimed at power dispatching data and device data whose source data is of the text type. The end-to-end BERT model is used for named entity recognition and entity relationship extraction in the text, and the extracted entity relationship information is screened by the TF-IDF method to obtain the entity relationship information in the power dispatching text.

[0075] e) The information extraction method for extended data types processes the information extraction problems in non-numerical and non-text data. The information extraction method for extended data types is divided into the information extraction method for single-type data and the information extraction method for mixed-type data.

[0076] f) Information extraction method for single - type data For single - type power dispatching data and equipment data whose data sources are non - numerical and non - textual, for unknown - type data, by reading multi - dimensional descriptive information such as its corresponding attributes and source descriptions, construct a feature vector of the unknown - type data, calculate the distance between its feature vector and the feature vectors of numerical - type and text - type data, map its feature vector to the feature vector of the numerical - type or text - type data with a closer distance, and use the transfer learning method to transfer the unknown - type data to the corresponding data space, and use the information extraction method of the basic data type to implement the extraction of power dispatching information.

[0077] g) Information extraction method for mixed - type data For power dispatching data and equipment data whose source data contains two or more data types. Cluster the mixed - type data by type. According to the feature information of the data, divide the data into numerical - type, text - type, and other types, and use the numerical - type information extraction method, text - type information extraction method, and information extraction method for single - type data respectively to perform information extraction.

[0078] h) Information extraction method for mixed - type data Combine the data - type clustering method to uniformly provide information extraction services externally, and implement the multi - source heterogeneous information extraction method.

[0079] Step 2: Establish the mapping relationship between business semantics and hardware devices. The business semantics model is a business description language model independent of implementation details. The business semantics model needs to establish an associated mapping with hardware devices to realize the transformation from business semantics to the actual business process. Construct the business semantics model and hardware association mapping through power equipment information. Among them,

[0080] a) Business semantics is independent of hardware implementation and is an abstract language for business design. Business semantics controls hardware devices through middleware. This patent uses the microservice architecture as the middleware between business semantics and device hardware. The microservice architecture contains descriptions of specific implementation methods for business.

[0081] b) The microservice architecture associates with the hardware functions of the underlying system. Each microservice component forms a binding with the hardware devices and control methods that implement its service content. Different microservice components implement different business functions through different hardware devices or control methods.

[0082] c) The microservice architecture associates with the upper - layer business semantics description. The business content described by each business semantics description is implemented by a sequence of microservice components. The data conversion and control commands described in the business semantics are implemented through the ordered combination of microservice components.

[0083] d) Business semantics, as middleware through the microservices architecture, realizes the control and use of hardware devices. Each business semantics is an ordered combination of a series of hardware device control commands and device status data. The "power on" command of business semantics will be translated into services such as "device startup detection", "device power on", and "device running status monitoring" in the microservices architecture. Different services will transmit data and control commands to the corresponding hardware devices according to the interface protocol to achieve the same business operations on different devices.

[0084] Step 3: Establish a business orchestration model based on swarm algorithms. Use swarm optimization methods to quickly discover business semantic paths in the power knowledge graph and, at the same time, implement a business path feasibility measurement method. Among them,

[0085] a) The power knowledge graph contains multiple types of power information and is a multi-source heterogeneous graph model. According to the business description, find the business start node and business end node in the power knowledge graph, which represent the start state and end state of the business respectively, and explore the path between the start node and the end node to achieve the orchestration of the business process.

[0086] b) The business orchestration results may not be unique, and alternative business orchestration schemes and selection methods need to be proposed.

[0087] c) The ant colony algorithm discovers the global optimal path through the pheromone rule. This patent needs to discover multiple optimal paths, so mutually exclusive pheromones are defined. There is a mutually exclusive effect between different pheromones, making the optimal paths explored by different pheromones tend to be independent. By defining the number of pheromones, the finally generated business orchestration paths are controlled. The exploration of multiple business orchestration paths can be carried out simultaneously.

[0088] d) The business orchestration path feasibility measurement method is used to evaluate the effects of the generated multiple business orchestration paths. Compare the generated business orchestration paths with the existing business processes, sort them according to the maximum common path, and recommend the business orchestration results.

[0089] Step 4: Multidimensional verification of the power dispatching business process. Constraints on the feasible business paths in the power knowledge graph through multiple dimensions such as business description requirements, resource occupancy, and feasibility measurement. Among them,

[0090] a) According to the required business description, construct a business semantic model, instantiate the business semantics and transform it into a hardware device control process, generate a comparison of the power dispatching business process, and generate a similarity according to the Hamming distance.

[0091] b) Calculate the quantity of hardware resources consumed by the generated business process and compare it with the available hardware resources of the system to ensure that the resource margin after the business goes live is higher than the warning line.

[0092] c) Calculate the feasibility of the power dispatching business process according to step d) in step 3.

[0093] The method provided by the present invention can construct a knowledge graph in the power field without relying on experts and engineers, fully apply the functional attributes of equipment and the operation information of equipment, and assist in realizing the construction of the power dispatching business.

[0094] In a second aspect.

[0095] Please refer to Figure 3 , an embodiment of the present invention provides a business process orchestration system based on power grid operation knowledge, including:

[0096] A power domain knowledge model construction module 10, configured to obtain multi-source heterogeneous information, functional information, and attribute information of power equipment, and generate a power domain knowledge model according to the multi-source heterogeneous information, the functional information, and the attribute information of the power equipment. Among them, the multi-source heterogeneous information includes: operation data, maintenance data, monitoring data, and fault recovery data of power equipment.

[0097] A data acquisition module 20, configured to obtain the actual requirements in the power dispatching business and the operation data of the equipment in the power dispatching system.

[0098] A business process path generation module 30, configured to generate a plurality of business process paths according to the actual requirements and the operation data through the power domain knowledge model.

[0099] An optimal business process path selection module 40, configured to obtain the feasibility index data value of each business process path according to the preset power business domain rules and the existing business flow information, and sort all the business process paths according to the feasibility index data value corresponding to each business process path to obtain the optimal business process path.

[0100] In a specific implementation manner of the embodiment of the present invention, the power domain knowledge model construction module 10 is further configured to:

[0101] Collect multi-source heterogeneous information through an adaptive information extraction method, and construct a business flow model according to the data characteristics of the multi-source heterogeneous information.

[0102] Extract the functional information and attribute information of power equipment, and establish a mapping relationship between the business logic semantic information and the hardware equipment through the association between the functional information and the attribute information.

[0103] Generate a power domain knowledge model according to the business flow model and the mapping relationship.

[0104] Preferably, the power domain knowledge model construction module is further configured to:

[0105] Bind each microservice component in the microservice architecture to the hardware device used to implement the function of each microservice component to obtain hardware device binding data;

[0106] Bind each microservice component to the business logic semantic information of the function of each microservice component to obtain business logic semantic information binding data;

[0107] According to the hardware device binding data and the business logic semantic information binding data, obtain the mapping relationship between the business logic semantic information and the hardware device.

[0108] In another specific implementation manner of the embodiment of the present invention, the business process path generation module 30 is further configured to:

[0109] Determine the business start node and the business end node in the power domain knowledge model according to the actual demand and the operation data;

[0110] Explore paths between the business start node and the business end node to generate several business process paths in the power domain knowledge.

[0111] The system provided by the present invention does not rely on experts and engineers to construct a power domain knowledge graph, and fully applies the device function attributes and device operation information to assist in realizing the construction of power dispatching services.

[0112] The third aspect.

[0113] The present invention provides an electronic device, which includes:

[0114] A processor, a memory, and a bus;

[0115] The bus is used to connect the processor and the memory;

[0116] The memory is used to store operation instructions;

[0117] The processor is configured to execute the operations corresponding to a business process orchestration method based on power grid operation knowledge as shown in the first aspect of the present application by calling the operation instructions.

[0118] In an optional embodiment, an electronic device is provided, as Figure 4 shown, Figure 4The illustrated electronic device 5000 includes: a processor 5001 and a memory 5003. Among them, the processor 5001 and the memory 5003 are connected, such as through a bus 5002. Optionally, the electronic device 5000 may further include a transceiver 5004. It should be noted that in practical applications, the transceiver 5004 is not limited to one, and the structure of the electronic device 5000 does not constitute a limitation on the embodiments of the present application.

[0119] The processor 5001 may be a CPU, a general-purpose processor, a DSP, an ASIC, an FPGA or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute various exemplary logical blocks, modules, and circuits described in connection with the disclosure of the present application. The processor 5001 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0120] The bus 5002 may include a path for transmitting information between the above components. The bus 5002 may be a PCI bus or an EISA bus, etc. The bus 5002 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 only a thick line is shown in the figure, but it does not mean that there is only one bus or one type of bus.

[0121] The memory 5003 may be a ROM or other types of static storage devices that can store static information and instructions, a RAM or other types of dynamic storage devices that can store information and instructions, or it may also be an EEPROM, a CD-ROM or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0122] The memory 5003 is used to store the application program code for executing the solution of the present application, and is controlled by the processor 5001 to execute. The processor 5001 is used to execute the application program code stored in the memory 5003 to implement the content shown in any of the foregoing method embodiments.

[0123] Among them, the electronic device includes but is not limited to: mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Tablet Computers), PMPs (Portable Multimedia Players), in-vehicle terminals (such as in-vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc.

[0124] Fourth aspect.

[0125] The present invention provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, it implements a business process orchestration method based on power grid operation knowledge as shown in the first aspect of the present application.

[0126] Another embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When it runs on a computer, it enables the computer to execute the corresponding content in the foregoing method embodiments.

Claims

1. A business process orchestration method based on power grid operation knowledge, characterized in that, it includes: Obtain multi-source heterogeneous information, functional information and attribute information of power equipment, and generate a power domain knowledge model according to the multi-source heterogeneous information, the functional information and the attribute information of the power equipment; wherein, the multi-source heterogeneous information includes: operation data, maintenance data, monitoring data, and fault recovery data of power equipment; Obtain the actual requirements in power dispatching services and the operation data of equipment in the power dispatching system; Through the power domain knowledge model, generate a number of business process paths according to the actual requirements and the operation data; According to the preset power business domain rules and existing business flow information, obtain the feasibility index data values of each business process path, and sort all the business process paths according to the feasibility index data values corresponding to each business process path to obtain the optimal business process path; The obtaining of multi-source heterogeneous information, functional information and attribute information of power equipment, and generating a power domain knowledge model according to the multi-source heterogeneous information, the functional information and the attribute information of the power equipment includes: Collect multi-source heterogeneous information through an adaptive information extraction method, and construct a business flow model according to the data characteristics of the multi-source heterogeneous information; Extract the functional information and attribute information of power equipment, and establish a mapping relationship between business logic semantic information and hardware equipment through the association between the functional information and the attribute information; Generate a power domain knowledge model according to the business flow model and the mapping relationship; The establishment of the mapping relationship between business logic semantic information and hardware equipment includes: Bind each microservice component in the microservice architecture to the hardware equipment used to implement the function of each microservice component to obtain hardware equipment binding data; Bind each microservice component to the business logic semantic information of the function of each microservice component to obtain business logic semantic information binding data; Obtain the mapping relationship between business logic semantic information and hardware equipment according to the hardware equipment binding data and the business logic semantic information binding data; The generating of a number of business process paths through the power domain knowledge model according to the actual requirements and the operation data includes: Determine the business start node and business end node in the power domain knowledge model according to the actual requirements and the operation data; Explore paths between the business start node and the business end node to generate a number of business process paths in power domain knowledge.

2. A business process orchestration system based on power grid operation knowledge, characterized in that, it includes: A power domain knowledge model construction module, configured to obtain multi-source heterogeneous information, functional information and attribute information of power equipment, and generate a power domain knowledge model according to the multi-source heterogeneous information, the functional information and the attribute information of the power equipment; wherein, the multi-source heterogeneous information includes: operation data, maintenance data, monitoring data, and fault recovery data of power equipment; A data acquisition module, configured to acquire the actual requirements in power dispatching services and the operation data of devices in a power dispatching system; A business process path generation module, configured to generate a plurality of business process paths according to the actual requirements and the operation data through the power domain knowledge model; An optimal business process path selection module, configured to obtain the feasibility index data value of each business process path according to preset power business domain rules and existing business flow information, and sort all business process paths according to the feasibility index data value corresponding to each business process path to obtain the optimal business process path; The power domain knowledge model construction module is further configured to: Collect multi-source heterogeneous information through an adaptive information extraction method, and construct a business flow model according to the data characteristics of the multi-source heterogeneous information; Extract the function information and attribute information of power devices, and establish a mapping relationship between business logic semantic information and hardware devices through the association between the function information and the attribute information; Generate a power domain knowledge model according to the business flow model and the mapping relationship; The power domain knowledge model construction module is further configured to: Bind each microservice component in the microservice architecture to the hardware device used to implement the function of each microservice component to obtain hardware device binding data; Bind each microservice component to the business logic semantic information of the function of each microservice component to obtain business logic semantic information binding data; Obtain the mapping relationship between business logic semantic information and hardware devices according to the hardware device binding data and the business logic semantic information binding data; The business process path generation module is further configured to: Determine a business start node and a business end node in the power domain knowledge model according to the actual requirements and the operation data; Explore paths between the business start node and the business end node to generate a plurality of business process paths in power domain knowledge.

3. An electronic device, Characterized in that It includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the business process orchestration method based on power grid operation knowledge as claimed in claim 1.

4. A computer-readable storage medium, Characterized in that The computer-readable storage medium includes a stored computer program, wherein when the computer program runs, it controls the device where the computer-readable storage medium is located to execute the business process orchestration method based on power grid operation knowledge as claimed in claim 1.

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