A digital business data processing method, device and equipment for the electric power industry

Abstract

The present invention discloses a digital business data processing method, device and equipment for the electric power industry, which automatically generates a digital solution for the electric power business by classifying the basic data of the electric power business to be evaluated by business scenarios, and matching the digital capability system and the solution structure according to the obtained business scenario type. By classifying the business scenarios through neural networks, the recognition efficiency of the business scenario type can be improved, the generation of digital solutions can be accelerated, and the generation efficiency of electric power business solution documents can be improved. The present invention realizes the digitization of the generation of electric power business solution documents by providing a solution template for the electric power business to be evaluated, so as to better help the staff to carry out the electric power business according to the obtained solution template, and further improve the generation efficiency of the electric power business solution documents.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and in particular to a method, device and equipment for processing digital business data in the electric power industry. Background Art

[0002] As the scale of the digital economy continues to expand, ensuring the smooth implementation of digital transformation is an important goal for enterprises. As the digital transformation of the power industry has developed, the power business has become increasingly dependent on digital professional capabilities, and the establishment and operation of a digital capability system for power business scenarios has become increasingly important. Through digital transformation, all aspects of organizational activities, processes, business models, and employee capabilities are redefined in order to horizontally break through business professional boundaries, promote cross-professional business integration, and achieve optimal allocation of business scenarios and talent capability resources.

[0003] Conventional power business solution documents are generated through the method of self-experience accumulation. This method relies on the accumulation of project experience and develops from project construction experience and results, and forms personal implicit assets through long-term self-precipitation. That is, through long-term project construction, staff gradually accumulate experience and technical tools in the project process, and through self-polishing and learning, form a series of independent capability knowledge assets. However, this method has great limitations, and it is difficult to quickly form solutions based on existing capabilities and results, which greatly reduces work efficiency.

[0004] Therefore, there is an urgent need for a business data processing strategy for the power industry to solve the problem of low efficiency in existing power business data processing. Summary of the invention

[0005] The embodiments of the present invention provide a method, device and equipment for processing digital business data in the electric power industry, so as to improve the data processing efficiency of the electric power business.

[0006] In order to solve the above problems, an embodiment of the present invention provides a digital business data processing method for the power industry, including:

[0007] Obtain basic data on the power business to be evaluated;

[0008] Based on the basic data, extract project change percentage data, technical characteristics data, project result data and topic category data, input them into the neural network model for business scenario classification, and obtain the business scenario type of the power business to be evaluated;

[0009] According to the business scenario type, matching is performed through a preset digital capability system and a preset solution structure system respectively to obtain capability type data and solution structure data corresponding to the business scenario type;

[0010] A solution document for the power business to be evaluated is generated according to the business scenario type, the capability type data and the solution structure data.

[0011] As can be seen from the above, the present invention has the following beneficial effects:

[0012] The present invention provides a digital business data processing method for the electric power industry, which automatically generates a digital solution document for the electric power business by classifying the acquired basic data of the electric power business to be evaluated by business scenarios, and matching the digital capability system and the solution structure according to the acquired business scenario type. By classifying the business scenarios through neural networks, the recognition efficiency of the business scenario type can be improved, the data processing efficiency of the digital electric power business can be accelerated, and the generation efficiency of the electric power business solution document can be improved. The present invention realizes the digitization of the generation of the electric power business solution document by providing a solution template document for the electric power business to be evaluated, so as to better help the staff to carry out the electric power business according to the obtained solution, and further improve the generation efficiency of the electric power business solution document.

[0013] As an improvement of the above scheme, the project change proportion data, technical feature data, project result data and special category data are extracted and input into the neural network unit for business scenario classification, specifically: according to the project change proportion data, the project change proportion is identified, and the construction type data of the power business to be evaluated is obtained; according to the technical feature data and the project result data, the technical features and project results are identified, and the application type data of the power business to be evaluated is obtained; according to the project result data and the special category data, the project results and special classifications are identified, and the special type data of the power business to be evaluated is obtained; the construction type data, the application type data and the special type data are used as the input of the neural network model; according to the project change proportion, technical features, project results and special classifications, the business scenario type of the power business is determined in multiple dimensions, thereby further improving the accuracy of the business scenario classification results.

[0014] As an improvement of the above-mentioned scheme, the method for constructing the neural network model is specifically as follows: obtaining historical case solution data of several power businesses, extracting construction type data, application type data and special type data of the historical case solution data; generating business scenario types of the historical case solution data according to the construction type data, the application type data and the special type data; training the model using the business scenario types of the historical case solution data as training samples to obtain the neural network model; classifying the basic data into business scenarios through the neural network model, thereby realizing the automation of business scenario classification and improving the efficiency and accuracy of business scenario classification.

[0015] As an improvement of the above-mentioned scheme, the method for constructing the preset digital capability system is specifically to obtain the digital capability type data that the staff of several power businesses need to have in all solution processes according to the business scenario type and in combination with the solution process of the power business; wherein the solution process includes: project initiation, project investigation, solution design, solution execution and project delivery, and the several power businesses are specifically: power businesses of multiple different business scenario types; according to the historical solution case data of several power businesses, the first information of several power businesses is obtained respectively; wherein the first information includes: platform type data, tool type data and deliverable type data; according to the business scenario types of several power businesses and the first information of several power businesses, the preset digital capability system is generated in combination with the association between the business scenario type and the digital capability type data, platform type data, tool type data and deliverable type data; in combination with the historical solution case data of the power business, according to the business scenario type of each power business, the corresponding digital capability is obtained, and at the same time, the platform and tool deliverables of the power business corresponding to each business scenario type are obtained, thereby constructing a digital capability system, making the digital capabilities required by the power business in each solution process clearer and facilitating the mobilization and arrangement of personnel.

[0016] As an improvement of the above-mentioned solution, the method for constructing the preset solution structure system is specifically as follows: according to the historical solution case data of several of the power businesses, respectively obtain the key element data of the solutions of several of the power businesses; according to the key element data of the solutions of several of the power businesses, combined with the relationship between the business scenario type and the key element data of the solutions, obtain the preset solution structure system; in combination with the historical solution case data of the power business, according to the business scenario type of each power business, obtain the key elements of the solution for the power business corresponding to each business scenario type, thereby constructing a solution structure, so that the solution structure corresponding to the power business is clearer, the output of the solution is convenient, and the work efficiency of the power business is further improved.

[0017] As an improvement of the above-mentioned scheme, the method for constructing the preset digital capability system also includes: obtaining second information of several power businesses respectively according to historical solution case data of several power businesses; wherein the second information includes: background support capability type data, digital role type data, digital personnel type data, business role type and business personnel type data; according to the business scenario types of several power businesses and the second information of several power businesses, combined with the association between the business scenario types and the background support capability type data, digital role type data, digital personnel type data, business role type data, and business personnel type data, the preset digital capability system is improved; according to the obtained background support capabilities, digital roles, digital personnel, business roles and business personnel, when problems arise in the design process of the power business solution document, relevant information can be quickly queried and key suggestions can be obtained, thereby improving the generation efficiency of power business solutions.

[0018] As an improvement of the above scheme, the solution document of the power business to be evaluated is generated according to the business scenario type, the capability type data and the structure data, specifically: according to the business scenario type of the power business to be evaluated, in the preset digital capability system, the platform type data of the power business to be evaluated, the tool type data of the power business to be evaluated, the deliverable type data of the power business to be evaluated and the digital capability type data required for the staff of the power business to be evaluated are obtained; wherein the capability type data includes: platform type, tool type, deliverable type and digital capability type; according to the business scenario type of the power business to be evaluated, in the preset solution structure system, the solution structure data of the power business to be evaluated is obtained; according to the platform type of the power business to be evaluated, the tool type of the power business to be evaluated, the deliverable type data of the power business to be evaluated, the digital capability type data required for the staff of the power business to be evaluated and the solution structure data of the power business to be evaluated, the solution document of the power business to be evaluated is generated; through the platform, tools, deliverables, required digital capabilities and solution structure of the power business, a digital solution is generated. This improved scheme provides a complete and unified digital capability system for business personnel, forms standardized solution documents, and improves the work efficiency of business personnel.

[0019] Accordingly, an embodiment of the present invention further provides a digital business data processing device for the electric power industry, comprising: an acquisition module, a classification module, a matching module and a generation module;

[0020] The acquisition module is used to acquire basic data of the power business to be evaluated;

[0021] The classification module is used to extract project change proportion data, technical characteristics data, project result data and thematic category data based on the basic data, and input them into the neural network model for business scenario classification to obtain the business scenario type of the power business to be evaluated;

[0022] The matching module is used to match the business scenario type through a preset digital capability system and a preset solution structure system respectively, to obtain capability type data and solution structure data corresponding to the business scenario type;

[0023] The generating module is used to generate a solution document for the power business to be evaluated according to the business scenario type, the capability type data and the solution structure data.

[0024] As an improvement of the above scheme, the project change proportion data, technical feature data, project result data and special category data are extracted and input into the neural network unit for business scenario classification, specifically: according to the project change proportion data, the project change proportion is identified, and the construction type data of the power business to be evaluated is obtained; according to the technical feature data and the project result data, the technical features and project results are identified, and the application type data of the power business to be evaluated is obtained; according to the project result data and the special category data, the project results and special classifications are identified, and the special type data of the power business to be evaluated is obtained; the construction type data, the application type data and the special type data are used as inputs of the neural network model.

[0025] As an improvement of the above-mentioned scheme, the method for constructing the neural network model is specifically as follows: obtaining historical solution case data of several power businesses, extracting construction type data, application type data and special type data of the historical solution case data; generating business scenario types of the historical solution case data according to the construction type data, the application type data and the special type data; performing model training using the business scenario types of the historical solution case data as training samples to obtain the neural network model.

[0026] As an improvement of the above-mentioned solution, the method for constructing the preset digital capability system is specifically to obtain, according to the business scenario type and in combination with the solution process of the power business, the digital capability type data that the staff of several power businesses need to have in all solution processes; wherein the solution process includes: project initiation, project investigation, solution design, solution execution and project delivery, and the several power businesses are specifically: power businesses of multiple different business scenario types; according to the historical solution case data of several power businesses, the first information of several of the power businesses is obtained respectively; wherein the first information includes: platform type data, tool type data and deliverable type data; according to the business scenario types of several of the power businesses and the first information of several of the power businesses, combined with the association between the business scenario types and the digital capability type data, platform type data, tool type data and deliverable type data, the preset digital capability system is generated.

[0027] As an improvement of the above-mentioned solution, the method for constructing the preset solution structure system is specifically as follows: based on the historical solution case data of several of the power businesses, respectively obtain the key element data of the solutions for several of the power businesses; based on the key element data of the solutions for several of the power businesses, combined with the relationship between the business scenario type and the key element data of the solutions, obtain the preset solution structure system.

[0028] As an improvement of the above-mentioned scheme, the method for constructing the preset digital capability system also includes: obtaining second information of several power businesses respectively according to historical solution case data of several power businesses; wherein the second information includes: background support capability type data, digital role type data, digital personnel type data, business role type and business personnel type data; according to the business scenario types of several power businesses and the second information of several power businesses, combined with the association between the business scenario types and the background support capability type data, digital role type data, digital personnel type data, business role type data and business personnel type data, the preset digital capability system is improved.

[0029] As an improvement of the above solution, the generation module includes: a first matching unit, a second matching unit and a combining unit;

[0030] The first matching unit is used to obtain, according to the business scenario type of the power business to be evaluated, platform type data of the power business to be evaluated, tool type data of the power business to be evaluated, deliverable type data of the power business to be evaluated, and digital capability type data required of the staff of the power business to be evaluated in the preset digital capability system; wherein the capability type data includes: platform type, tool type, deliverable type, and digital capability type;

[0031] The second matching unit is used to obtain solution structure data of the power business to be evaluated in the preset solution structure system according to the business scenario type of the power business to be evaluated;

[0032] The combining unit is used to generate a solution document for the electric power business to be evaluated based on the platform type of the electric power business to be evaluated, the tool type of the electric power business to be evaluated, the deliverable type data of the electric power business to be evaluated, the digital capability type data required of the staff for the electric power business to be evaluated, and the solution structure data of the electric power business to be evaluated.

[0033] Correspondingly, an embodiment of the present invention further provides a computer terminal device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, it implements a digital business data processing method for the power industry as described in the present invention.

[0034] Correspondingly, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute a digital business data processing method for the power industry as described in the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a flowchart of a digital business data processing method for the electric power industry provided by an embodiment of the present invention;

[0036] Figure 2 It is a structural schematic diagram of a digital business data processing device for the electric power industry provided by an embodiment of the present invention;

[0037] Figure 3 This is a schematic diagram of the structure of a terminal device provided by an embodiment of the present invention;

[0038] Figure 4 is a schematic diagram for introducing digital capabilities provided by an embodiment of the present invention;

[0039] Figure 5 is a schematic diagram of introducing digital capabilities provided by another embodiment of the present invention;

[0040] Figure 6 It is a schematic diagram of the association relationship of the digital capability system provided by an embodiment of the present invention;

[0041] Figure 7 is a schematic diagram of the association relationship of a digital capability system provided by another embodiment of the present invention;

[0042] Figure 8 It is a structural diagram of a solution structure system provided by an embodiment of the present invention;

[0043] Fig. 9 is a schematic structural diagram of a solution structure system provided by another embodiment of the present invention;

[0044] Fig.10 It is a schematic diagram of the association relationship of the digital capability system provided by another embodiment of the present invention. DETAILED DESCRIPTION

[0045] 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.

[0046] Embodiment 1

[0047] See also Figure 1 , Figure 1 FIG. 1 is a flow chart of a method for processing digital business data in the electric power industry provided by an embodiment of the present invention. Figure 1 As shown, this embodiment includes steps 101 to 104, and each step is specifically as follows:

[0048] Step 101: Obtain basic data of the power business to be evaluated.

[0049] In this embodiment, step 101 specifically includes: a staff member inputs specific information of the power business to be evaluated in the power industry as basic data of the power business to be evaluated.

[0050] Step 102: Based on the basic data, extract project change percentage data, technical feature data, project result data and topic category data, input them into the neural network model for business scenario classification, and obtain the business scenario type of the power business to be evaluated.

[0051] In this embodiment, step 102 is specifically as follows: by identifying basic data, the project change proportion, technical characteristics, project results and topic categories of the power business to be evaluated are obtained, and a neural network model is used for classification, and the business scenario type of the power business to be evaluated is obtained by neural network identification.

[0052] In this embodiment, the extracted project change proportion data, technical feature data, project result data and topic category data are input into the neural network unit for business scenario classification, specifically: according to the project change proportion data, the project change proportion is identified, and the construction type data of the power business to be evaluated is obtained; according to the technical feature data and the project result data, the technical features and project results are identified, and the application type data of the power business to be evaluated is obtained; according to the project result data and the topic category data, the project results and topic classifications are identified, and the special type data of the power business to be evaluated is obtained; the construction type data, the application type data and the special type data are used as inputs of the neural network model.

[0053] In a specific embodiment, the judgment rule of the business scenario is specifically:

[0054] According to the project change ratio data of the power business to be evaluated, the construction type data is judged: when the type and data of the power business to be evaluated are completely different from the existing project business, the project change ratio is 100%, and it can be judged as a new construction type; when the type of the power business to be evaluated is exactly the same as the existing project business, and only the data migration or address change occurs, the project change ratio is 0%, and it can be judged as a migration type; when there are other differences, the project change ratio is between 0% and 100% (excluding 0% and 100%), and it can be judged as a transformation type; among them, the construction type data includes: new construction type, migration type and transformation type;

[0055] According to the project technical characteristics data and project result data of the power business to be evaluated, the application type data is judged: when there is no project technical characteristics data, and the project result data contains a business function system, it is judged as application system data; when the project technical characteristics data contains data analysis technology or data warehouse technology, and the project result data contains analysis results, it is judged as data analysis data; when the project technical characteristics include artificial intelligence, OCR, RPA, quantum technology and big data, and the project results include new business, it is judged as new technology and business integration data; when the project technical characteristics data includes tool selection comparison, and the project result data includes tool selection practical report, it is judged as tool procurement data; when the project technical characteristics data includes behavior analysis recognition technology, user portraits, and the project result data includes operation data analysis report, it is judged as project operation data; among them, application type data includes: application system data, data analysis data, new technology and business integration data, tool procurement data and project operation data;

[0056] According to the project result data and thematic category data of the power business to be evaluated, the special type data is judged: when the project result data includes thematic domain governance plan report, and the thematic category data includes the key task thematic classification, it is judged as thematic domain governance data; when the project result data includes the business application analysis report, and the thematic category data includes the key business classification, it is judged as business thematic analysis data; among which, the special category data includes: thematic domain governance data and business thematic analysis data;

[0057] By combining and summarizing construction type data, application type data and special type data, business scenario types for power business are formed; business scenario types include: application system construction, data analysis application construction, application system transformation, visualization display, application migration based on network and provincial platforms, thematic domain data quality governance, business domain digital planning, business topic analysis, new technology and business integration demonstration application, business application technology architecture transformation, tool procurement, digital operation, digital platform construction and sporadic application transformation.

[0058] In this embodiment, the method for constructing the neural network model is specifically as follows: obtaining historical case solution data of several power businesses, extracting construction type data, application type data and special type data of the historical case solution data; generating business scenario types of the historical case solution data according to the construction type data, the application type data and the special type data; performing model training using the business scenario types of the historical case solution data as training samples to obtain the neural network model.

[0059] Step 103: According to the business scenario type, matching is performed through a preset digital capability system and a preset solution structure system respectively to obtain capability type data and solution structure data corresponding to the business scenario type;

[0060] In this embodiment, the method for constructing the preset digital capability system is specifically as follows: according to the business scenario type, in combination with the solution process of the power business, respectively obtain the digital capability type data that the staff of several power businesses need to have in all solution processes; wherein the solution process includes: project initiation, project investigation, solution design, solution execution and project delivery, and the several power businesses are specifically: power businesses of multiple different business scenario types; according to the historical solution case data of several power businesses, respectively obtain the first information of several of the power businesses; wherein the first information includes: platform type data, tool type data and deliverable type data; according to the business scenario types of several of the power businesses and the first information of several of the power businesses, in combination with the association between the business scenario types and the digital capability type data, platform type data, tool type data and deliverable type data, generate the preset digital capability system.

[0061] In a specific embodiment, the first-level capability type data includes 8 items, and the second-level capability includes 41 items, wherein the second-level capability is a sub-capability of the first-level capability; for better explanation, please refer to Figure 4 , Figure 5 .

[0062] To better illustrate the relationship between business scenario types and digital capability type data, platform type data, tool type data, and deliverable type data, please refer to Figure 6 , Figure 7 :

[0063] In this embodiment, the method for constructing the preset solution structure system is specifically as follows: based on the historical solution case data of several power businesses, respectively obtain the key element data of solutions for several power businesses; based on the key element data of solutions for several power businesses, combined with the relationship between the business scenario type and the key element data of the solutions, obtain the preset solution structure system.

[0064] In a specific embodiment, through the historical case data of several power businesses, combined with the characteristics of business scenario data and the digital capability system, the structure of the solution under each business scenario is obtained, thereby generating multiple solution structures for different business scenarios; wherein the solution structure includes: overview, business process, business pain points, business goals, overall solution, application architecture, data traceability, data model, data governance solution, data governance effectiveness, technical architecture, deployment architecture, overall promotion plan, operation plan strategy, operation data analysis, operation improvement suggestions, and effectiveness value, a total of 18 key elements. For better explanation, please refer to Figure 8 , Fig. 9 , where √ represents mandatory requirements, ○ represents recommended fields, and X represents fields that do not need to be filled in.

[0065] In this embodiment, the method for constructing the preset digital capability system also includes: obtaining the second information of several power services respectively according to the historical case data of several power services; wherein the second information includes: background support capability type data, digital role type data, digital personnel type data, business role type and business personnel type data; according to the business scenario types of several power services and the second information of several power services, the preset digital capability system is improved in combination with the association between the business scenario types and the background support capability type data, digital role type data, digital personnel type data, business role type data and business personnel type data. For better explanation, please refer to Fig.10 .

[0066] In a specific embodiment, the method for constructing a preset digital capability system is specifically as follows: through a large amount of historical solution case data of power business, the association relationship between each business scenario type and digital capability type data, platform type data, tool type data, deliverable type data, background support capability type data, digital role type data, digital personnel type data, business role type, and business personnel type data is analyzed and obtained, and the digital capability mapping matrix corresponding to each business scenario data is obtained, thereby obtaining a digital capability system.

[0067] Step 104: Generate a solution document for the power business to be evaluated according to the business scenario type, the capability type data and the solution structure data.

[0068] In this embodiment, the solution document for the power business to be evaluated is generated according to the business scenario type, the capability type data and the structure data, specifically as follows: according to the business scenario type of the power business to be evaluated, in the preset digital capability system, the platform type data of the power business to be evaluated, the tool type data of the power business to be evaluated, the deliverable type data of the power business to be evaluated and the digital capability type data required for the staff of the power business to be evaluated are obtained; wherein the capability type data includes: platform type, tool type, deliverable type and digital capability type; according to the business scenario type of the power business to be evaluated, in the preset solution structure system, the solution structure data of the power business to be evaluated is obtained; according to the platform type of the power business to be evaluated, the tool type of the power business to be evaluated, the deliverable type data of the power business to be evaluated, the digital capability type data required for the staff of the power business to be evaluated and the solution structure data of the power business to be evaluated, a solution document for the power business to be evaluated is generated.

[0069] In order to better explain this embodiment, the following example is provided for illustration: the acquired power business data to be evaluated is used to extract the project change proportion data, technical characteristics data, project result data and thematic category data, and then input into the neural network model for classification, and the construction type (new construction, transformation or migration) is determined according to the project change proportion data, and the application type (application system type, data analysis type, new technology and business integration type, tool procurement and operation) is determined according to the technical characteristics data and project result data, and the special type (thematic domain governance type and business thematic analysis type) is determined according to the project result data and thematic category data, and finally combined and summarized to generate a determined business scenario category. According to the generated business scenario category, in the digital capability system obtained by analysis: match the platform type, tool type, deliverable type and digital capability type corresponding to the business scenario category of the power business to be evaluated; in the solution structure system obtained by analysis: match the business scenario category of the power business to be evaluated to the solution structure, and obtain the solution template according to the solution structure, so as to substitute the obtained platform type, tool type, deliverable type and digital capability type into the template to generate the solution document corresponding to the power business to be evaluated.

[0070] This embodiment evaluates the power business to be evaluated in three dimensions and obtains accurate business scenarios, matches the preset digital capability system for the business scenarios, obtains multiple data corresponding to the power business to be evaluated, and obtains a solution structure template according to the preset solution structure system, and inputs the generated multiple data into the solution structure template to obtain a solution template document for the power business to be evaluated. Compared with the prior art of manually filling in solutions, this embodiment generates solutions through digital language, which can speed up the generation efficiency of solutions and realize automatic generation and automatic filling of solutions.

[0071] Embodiment 2

[0072] See also Figure 2 , Figure 2 It is a structural diagram of a digital business data processing device for the power industry provided by an embodiment of the present invention, comprising: an acquisition module 201, a classification module 202, a matching module 203 and a generation module 204;

[0073] The acquisition module 201 is used to acquire basic data of the power business to be evaluated;

[0074] The classification module 202 is used to extract project change proportion data, technical characteristics data, project result data and thematic category data based on the basic data, and input them into the neural network model for business scenario classification to obtain the business scenario type of the power business to be evaluated;

[0075] The matching module 203 is used to perform matching according to the business scenario type through a preset digital capability system and a preset solution structure system, respectively, to obtain capability type data and solution structure data corresponding to the business scenario type;

[0076] The generating module 204 is used to generate a solution document for the power business to be evaluated according to the business scenario type, the capability type data and the solution structure data.

[0077] As an improvement of the above scheme, the project change proportion data, technical feature data, project result data and special category data are extracted and input into the neural network unit for business scenario classification, specifically: according to the project change proportion data, the project change proportion is identified, and the construction type data of the power business to be evaluated is obtained; according to the technical feature data and the project result data, the technical features and project results are identified, and the application type data of the power business to be evaluated is obtained; according to the project result data and the special category data, the project results and special classifications are identified, and the special type data of the power business to be evaluated is obtained; the construction type data, the application type data and the special type data are used as inputs of the neural network model.

[0078] As an improvement of the above-mentioned scheme, the method for constructing the neural network model is specifically as follows: obtaining historical solution case data of several power businesses, extracting construction type data, application type data and special type data of the historical solution case data; generating business scenario types of the historical solution case data according to the construction type data, the application type data and the special type data; performing model training using the business scenario types of the historical solution case data as training samples to obtain the neural network model.

[0079] As an improvement of the above-mentioned solution, the method for constructing the preset digital capability system is specifically to obtain, according to the business scenario type and in combination with the solution process of the power business, the digital capability type data that the staff of several power businesses need to have in all solution processes; wherein the solution process includes: project initiation, project investigation, solution design, solution execution and project delivery, and the several power businesses are specifically: power businesses of multiple different business scenario types; according to the historical solution case data of several power businesses, the first information of several of the power businesses is obtained respectively; wherein the first information includes: platform type data, tool type data and deliverable type data; according to the business scenario types of several of the power businesses and the first information of several of the power businesses, combined with the association between the business scenario types and the digital capability type data, platform type data, tool type data and deliverable type data, the preset digital capability system is generated.

[0080] As an improvement of the above-mentioned solution, the method for constructing the preset solution structure system is specifically as follows: based on the historical solution case data of several of the power businesses, respectively obtain the key element data of the solutions for several of the power businesses; based on the key element data of the solutions for several of the power businesses, combined with the relationship between the business scenario type and the key element data of the solutions, obtain the preset solution structure system.

[0081] As an improvement of the above-mentioned scheme, the method for constructing the preset digital capability system also includes: obtaining second information of several power businesses respectively according to historical solution case data of several power businesses; wherein the second information includes: background support capability type data, digital role type data, digital personnel type data, business role type and business personnel type data; according to the business scenario types of several power businesses and the second information of several power businesses, combined with the association between the business scenario types and the background support capability type data, digital role type data, digital personnel type data, business role type data and business personnel type data, the preset digital capability system is improved.

[0082] As an improvement of the above solution, the generating module 204 includes: a first matching unit, a second matching unit and a combining unit;

[0083] The first matching unit is used to obtain, according to the business scenario type of the power business to be evaluated, platform type data of the power business to be evaluated, tool type data of the power business to be evaluated, deliverable type data of the power business to be evaluated, and digital capability type data required of the staff of the power business to be evaluated in the preset digital capability system; wherein the capability type data includes: platform type, tool type, deliverable type, and digital capability type;

[0084] The second matching unit is used to obtain solution structure data of the power business to be evaluated in the preset solution structure system according to the business scenario type of the power business to be evaluated;

[0085] The combining unit is used to generate a solution document for the electric power business to be evaluated based on the platform type of the electric power business to be evaluated, the tool type of the electric power business to be evaluated, the deliverable type data of the electric power business to be evaluated, the digital capability type data required of the staff for the electric power business to be evaluated, and the solution structure data of the electric power business to be evaluated.

[0086] This embodiment obtains the basic data of the power business to be evaluated through the acquisition module, and obtains the business scenario type of the power business to be evaluated according to the classification module, and inputs the obtained business scenario type into the matching module for matching, obtains the digital capabilities and solution structure corresponding to the power business to be evaluated with the determined business scenario type, and then inputs them into the generation module to generate the solution document of the power business to be evaluated. This embodiment realizes the automatic processing of power business data and improves the work efficiency of the power business.

[0087] Embodiment 3

[0088] See also Figure 3 , Figure 3 It is a schematic diagram of the structure of a terminal device provided in one embodiment of the present invention.

[0089] A terminal device of this embodiment includes: a processor 301, a memory 302, and a computer program stored in the memory 302 and executable on the processor 301. When the processor 301 executes the computer program, the steps of the above-mentioned business data processing method for digitalization of the power industry in the embodiment are implemented, for example Figure 1 Alternatively, when the processor executes the computer program, the functions of each module in the above-mentioned device embodiments are realized, for example: Figure 2 All modules of the digital business data processing device for the power industry are shown.

[0090] In addition, an embodiment of the present invention further provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the digital business data processing method for the power industry as described in any of the above embodiments.

[0091] Those skilled in the art will understand that the schematic diagram is merely an example of a terminal device and does not constitute a limitation on the terminal device. The terminal device may include more or fewer components than shown in the diagram, or a combination of certain components, or different components. For example, the terminal device may also include input and output devices, network access devices, buses, etc.

[0092] The processor 301 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor 301 is the control center of the terminal device, and uses various interfaces and lines to connect various parts of the entire terminal device.

[0093] The memory 302 can be used to store the computer program and / or module. The processor 301 implements various functions of the terminal device by running or executing the computer program and / or module stored in the memory and calling the data stored in the memory 302. The memory 302 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0094] Wherein, if the module / unit integrated in the terminal device 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 such an understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0095] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0096] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A digital business data processing method for the power industry, characterized in that: include: Obtain basic data on the power business to be evaluated; Based on the basic data, extract project change percentage data, technical characteristics data, project result data and topic category data, input them into the neural network model for business scenario classification, and obtain the business scenario type of the power business to be evaluated; According to the business scenario type, respectively match the preset digital capability system and the preset solution structure system to obtain the capability type data and solution structure data corresponding to the business scenario type; wherein, the method for constructing the preset solution structure system is specifically as follows: according to the historical solution case data of several of the power businesses, respectively obtain the key element data of the solutions for several of the power businesses; according to the key element data of the solutions for several of the power businesses, combined with the relationship between the business scenario type and the key element data of the solutions, obtain the preset solution structure system; the method for constructing the preset digital capability system also includes: according to the business scenario type, combined with the solution process of the power business, respectively obtain the digital capability type data that the staff of several power businesses need to have in all solution processes; wherein, the solution process includes: project initiation, project investigation, solution design, solution execution and project delivery, and the several power businesses are specifically: power businesses of multiple different business scenario types; according to the historical solution case data of several power businesses, respectively obtain the key element data of the solutions for several of the power businesses The first information of the power business; wherein the first information includes: platform type data, tool type data and deliverable type data; according to the business scenario types of the power business and the first information of the power business, combined with the business scenario types and the digital capability type data, platform type data, tool type data, and deliverable type data, the preset digital capability system is generated; according to the historical solution case data of the power business, the second information of the power business is obtained respectively; wherein the second information includes: background support capability type data, digital role type data, digital personnel type data, business role type and business personnel type data; according to the business scenario types of the power business and the second information of the power business, combined with the business scenario types and the background support capability type data, digital role type data, digital personnel type data, business role type data, business personnel type data, The preset digital capability system is improved; wherein the capability type data includes: platform type, tool type, deliverable type and digital capability type; A solution document for the power business to be evaluated is generated according to the business scenario type, the capability type data and the solution structure data.

2. The digital business data processing method for the electric power industry according to claim 1 is characterized in that: The extracted project change percentage data, technical feature data, project result data and topic category data are input into the neural network unit for business scenario classification, specifically: According to the project change percentage data, the project change percentage is identified to obtain the construction type data of the power business to be evaluated; According to the technical characteristic data and the project result data, the technical characteristics and the project results are identified to obtain application type data of the power business to be evaluated; According to the project result data and the topic category data, the project result and the topic category are identified to obtain the special type data of the power business to be evaluated; The construction type data, the application type data and the special type data are used as inputs of the neural network model.

3. The digital business data processing method for the electric power industry according to claim 1 is characterized in that: The method for constructing the neural network model is specifically as follows: Acquire historical case data of several power services, and extract construction type data, application type data, and special type data of the historical case data; Generate business scenario types of historical solution case data according to the construction type data, the application type data and the special type data; Model training is performed using the business scenario types of the historical case solution data as training samples to obtain the neural network model.

4. The digital business data processing method for the electric power industry according to claim 1 is characterized in that: The generating, according to the business scenario type, the capability type data and the structure data, a solution document for the power business to be evaluated is specifically: According to the business scenario type of the power business to be evaluated, in the preset digital capability system, the platform type data of the power business to be evaluated, the tool type data of the power business to be evaluated, the deliverable type data of the power business to be evaluated, and the digital capability type data required of the staff of the power business to be evaluated are obtained; wherein the capability type data includes: platform type, tool type, deliverable type and digital capability type; According to the business scenario type of the power business to be evaluated, in the preset solution structure system, obtaining solution structure data of the power business to be evaluated; A solution document for the power business to be evaluated is generated based on the platform type of the power business to be evaluated, the tool type of the power business to be evaluated, the deliverable type data of the power business to be evaluated, the digital capability type data required of the staff for the power business to be evaluated, and the solution structure data of the power business to be evaluated.

5. A digital business data processing device for the power industry, characterized in that: include: Acquisition module, classification module, matching module and generation module; The acquisition module is used to acquire basic data of the power business to be evaluated; The classification module is used to extract project change proportion data, technical characteristics data, project result data and thematic category data based on the basic data, and input them into the neural network model for business scenario classification to obtain the business scenario type of the power business to be evaluated; The matching module is used to match the business scenario type through a preset digital capability system and a preset solution structure system, respectively, to obtain capability type data and solution structure data corresponding to the business scenario type; wherein the method for constructing the preset solution structure system is specifically as follows: according to the historical solution case data of several power businesses, respectively obtain the key element data of solutions for several power businesses; according to the key element data of solutions for several power businesses, in combination with the relationship between the business scenario type and the key element data of solutions, obtain the preset solution structure system; the method for constructing the preset digital capability system also includes: according to the business scenario type, in combination with the solution process of the power business, respectively obtain the digital capability type data that the staff of several power businesses need to have in all solution processes; wherein the solution process includes: project initiation, project investigation, solution design, solution execution and project delivery, and the several power businesses are specifically: power businesses of multiple different business scenario types; according to the historical solution case data of several power businesses, respectively obtain The first information of the power business; wherein the first information includes: platform type data, tool type data and deliverable type data; according to the business scenario types of several power businesses and the first information of several power businesses, combined with the business scenario types and the correlation between the digital capability type data, platform type data, tool type data and deliverable type data, the preset digital capability system is generated; according to the historical solution case data of several power businesses, the second information of several power businesses is obtained respectively; wherein the second information includes: background support capability type data, digital role type data, digital personnel type data, business role type and business personnel type data; according to the business scenario types of several power businesses and the second information of several power businesses, combined with the correlation between the business scenario types and the background support capability type data, digital role type data, digital personnel type data, business role type data and business personnel type data, the preset digital capability system is improved; wherein the capability type data includes: platform type, tool type, deliverable type and digital capability type; The generating module is used to generate a solution document for the power business to be evaluated according to the business scenario type, the capability type data and the solution structure data.

6. A computer terminal device, characterized in that: It comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements a business data processing method for digitalization of the power industry as described in any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute a digital business data processing method for the power industry as described in any one of claims 1 to 4.

Images