CN114723257A - A digital business data processing method, device and equipment for power industry - Google Patents

Abstract

The invention discloses a method, a device and equipment for processing digitalized service data in the power industry, which are used for automatically generating a digitalized solution of a power service by classifying service scenes of acquired basic data of the power service to be evaluated and matching a digitalized capacity system with a solution structure according to the acquired service scene types. The invention realizes the digitization of the generation of the electric power service solution document by providing the solution template of the electric power service to be evaluated, thereby better helping the working personnel to develop the electric power service according to the obtained solution template, and further improving the generation efficiency of the electric power service solution document.

Description

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

technical field

The invention relates to the field of data processing, in particular to a method, device and equipment for digitalized business data processing in the power industry.

Background technique

With the continuous expansion of the scale of the digital economy, ensuring the smooth development of the digital transformation of enterprises is an important goal of enterprises. Since the digital transformation of the power industry has developed, the power business has increasingly relied on digital professional capabilities, and the establishment and operation of a digital capability system for power business scenarios has become increasingly important. Redefine all aspects of organizational activities, processes, business models and employee capabilities through digital transformation, so as to open up business professional boundaries horizontally, promote cross-professional business integration, and achieve optimal allocation of business scenarios and human capacity resources.

The generation of conventional power business solution documents is carried out through self-experience accumulation method. This method relies on the accumulation and development of project experience. From project construction experience and achievements, personal hidden assets are formed through long-term self-precipitation. That is, through long-term project construction, the staff gradually accumulate experience and technical tools in the project process, and through their own polishing and learning, form a series of independent ability knowledge assets. However, this method has great limitations, and it is difficult to quickly form a solution based on the existing capabilities, which greatly reduces the work efficiency.

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

SUMMARY OF THE INVENTION

Embodiments of the present invention provide a method, device, and device for processing digital business data in the power industry, so as to improve the data processing efficiency of the power business.

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

Obtain the basic data of the power business to be evaluated;

According to the basic data, extract the project change ratio data, technical feature data, project result data and thematic category data, input 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, the preset digital capability system and the preset solution structure system are matched respectively to obtain capability type data and solution structure data corresponding to the business scenario type;

According to the business scenario type, the capability type data and the solution structure data, a solution document of the power business to be evaluated is generated.

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

The invention provides a digital business data processing method for the electric power industry. By classifying the acquired basic data of the electric power business to be evaluated, the business scenario is classified, and the digital capability system and the solution structure are matched according to the acquired business scenario type. , so as to automatically generate the digital solution document of the power business, and classify the business scenarios through the neural network, which can improve the identification efficiency of the business scenario type, speed up the data processing efficiency of the digital power business, and improve the generation efficiency of the power business solution document. The present invention realizes the digitization of the generation of the power business solution document by providing the solution template document of the power business to be evaluated, thereby better helping the staff to carry out the power business according to the obtained solution, and further improving the power business. Generation efficiency of solution documentation.

As an improvement of the above scheme, the extracted item change ratio data, technical feature data, project result data and thematic category data are input into the neural network unit for business scenario classification, specifically: according to the item change ratio data, Identify the proportion of changes in the project, and obtain the construction type data of the electric power business to be assessed; according to the technical characteristic data and the project result data, identify the technical characteristics and project results, and obtain the application type data of the electric power business to be assessed; The project result data and the subject category data are used to identify the project results and subject classification, and obtain the special type data of the electric power business to be evaluated; the construction type data, the application type data and the special type data, As the input of the neural network model; according to the proportion of project changes, technical characteristics, project results and thematic classification, the business scenario type of the power business is determined in multiple dimensions, which further improves the accuracy of the business scenario classification result.

As an improvement of the above solution, the construction method of the neural network model is specifically: obtaining historical solution case data of several power businesses, and extracting the construction type data, application type data and special type data of the historical solution case data; The construction type data, the application type data and the special type data are used to generate the business scenario type of the historical solution case data; model training is performed using the business scenario type of the historical solution case data as a training sample, and the neural network is obtained. Model; the basic data is classified into business scenarios through the neural network model, which realizes the automation of business scenario classification and improves the efficiency and accuracy of business scenario classification.

As an improvement of the above solution, the method for constructing the preset digital capability system is to obtain, according to the type of business scenarios, combined with the solution process of the power business, respectively, obtain a number of digital capability types that the staff needs to have in all the solution processes of the power business. data; wherein, the solution process includes: project initiation, project research, scheme design, scheme execution and project delivery, and the several power services are specifically: power services of multiple different business scenario types; according to the history of several power services Solve the case data, respectively obtain a number of first information of the electric power business; wherein, the first information includes: platform type data, tool type data and deliverable type data; The first information of the power business is combined with the relationship between the business scenario type and the digital capability type data, platform type data, tool type data, and deliverable type data to generate the preset digital capability system; The historical solution case data, according to the business scenario type of each power business, obtain the corresponding digital capabilities, and at the same time obtain the power business platform and tool deliverables corresponding to each business scenario type, so as to build a digital capability system, so that the power business can be used in every business scenario. The digital capabilities required in a solution process are more clearly defined, facilitating the movement and scheduling of personnel.

As an improvement of the above solution, the construction method of the preset solution structure system is specifically: according to a number of historical solution case data of the power business, respectively acquiring a number of key element data of the solution of the power business; The solution key element data of the power business is combined with the relationship between the business scenario type and the solution key element data to obtain the preset solution structure system; combined with the historical solution case data of the power business, according to each For each business scenario type of the power business, obtain the key elements of the solution of the power business corresponding to each business scenario type, so as to build a solution structure, make the solution structure corresponding to the power business clearer, facilitate the output of the solution, and further Improve the work efficiency of power business.

As an improvement of the above solution, the method for constructing the preset digital capability system further includes: acquiring the second information of several power services according to the historical solution case data of the power services; wherein the second information includes: Back-end support capability type data, digital role type data, digital personnel type data, business role type, and business personnel type data; according to a number of business scenario types of the power business and a number of second information of the power business, combined with the business scenario type Respectively and the background support capability type data, digital role type data, digital personnel type data, business role type data, business personnel type data, improve the preset digital capability system; based on the acquired background support capabilities, digital roles , digital personnel, business roles and business personnel can quickly query relevant information and obtain key suggestions when problems occur in the design process of power business solution documents, thereby improving the generation efficiency of power business solutions.

As an improvement of the above solution, generating the solution document of the electric power service to be evaluated according to the service scenario type, the capability type data and the structure data, specifically: according to the business scenario type of the electric power service to be evaluated , in the preset digital capability system, obtain the platform type data of the power business to be assessed, the tool type data of the power business to be assessed, the deliverable type data of the power business to be assessed, and the power services to be assessed that the staff needs to have. Digital capability type data; 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, Obtain the solution structure data of the electric power business to be assessed; according to the platform type of the electric power business to be assessed, the tool type of the electric power business to be assessed, the type of deliverables of the electric power business to be assessed, and the digitization required by the staff of the electric power business to be assessed Capability type data and solution structure data of the power business to be assessed, generate solution documents for the power business to be assessed; generate digital solutions through the power business platform, tools, deliverables, required digital capabilities and solution structure This improvement plan provides a complete and unified digital capability system for business personnel, forms a standardized solution document, and improves the work efficiency of business personnel.

Correspondingly, an embodiment of the present invention also provides a digital business data processing device for the power industry, including: an acquisition module, a classification module, a matching module, and a generation module;

The obtaining module is used to obtain the basic data of the electric power business to be evaluated;

The classification module is used for extracting project change ratio data, technical feature data, project result data and topic category data according to the basic data, and inputting the data into the neural network model to classify the business scenarios to obtain the business of the electric power business to be evaluated. scene type;

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

The generating module is configured to generate the solution document of the electric power business to be evaluated according to the business scenario type, the capability type data and the solution structure data.

As an improvement of the above scheme, the extracted item change ratio data, technical feature data, project result data and thematic category data are input into the neural network unit for business scenario classification, specifically: according to the item change ratio data, Identify the proportion of changes in the project, and obtain the construction type data of the electric power business to be assessed; according to the technical characteristic data and the project result data, identify the technical characteristics and project results, and obtain the application type data of the electric power business to be assessed; The project result data and the subject category data are used to identify the project results and subject classification, and obtain the special type data of the electric power business to be evaluated; the construction type data, the application type data and the special type data, as input to the neural network model.

As an improvement of the above solution, the construction method of the neural network model is specifically: obtaining historical solution case data of several power businesses, and extracting the construction type data, application type data and special type data of the historical solution case data; The construction type data, the application type data and the special type data are used to generate the business scenario type of the historical solution case data; model training is performed using the business scenario type of the historical solution case data as a training sample, and the neural network is obtained. Model.

As an improvement of the above solution, the method for constructing the preset digital capability system is to obtain, according to the type of business scenarios, combined with the solution process of the power business, respectively, obtain a number of digital capability types that the staff needs to have in all the solution processes of the power business. data; wherein, the solution process includes: project initiation, project research, scheme design, scheme execution and project delivery, and the several power services are specifically: power services of multiple different business scenario types; according to the history of several power services Solve the case data, respectively obtain a number of first information of the electric power business; wherein, the first information includes: platform type data, tool type data and deliverable type data; The first information of the electric power business is combined with the correlation between the business scenario type and the digital capability type data, platform type data, tool type data, and deliverable type data, respectively, to generate the preset digital capability system.

As an improvement of the above solution, the construction method of the preset solution structure system is specifically: according to a number of historical solution case data of the power business, respectively acquiring a number of key element data of the solution of the power business; The solution key element data of the power business is combined with the relationship between the business scenario type and the solution key element data to obtain the preset solution structure system.

As an improvement of the above solution, the method for constructing the preset digital capability system further includes: acquiring the second information of several power services according to the historical solution case data of the power services; wherein the second information includes: Back-end support capability type data, digital role type data, digital personnel type data, business role type, and business personnel type data; according to a number of business scenario types of the power business and a number of second information of the power business, combined with the business scenario type Respectively and the background support capability type data, digital role type data, digital personnel type data, business role type data, business personnel type data, improve the preset digital capability system.

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

The first matching unit is configured to obtain, in the preset digital capability system, the platform type data of the power service to be evaluated, the tool type data of the power service to be evaluated, the data of the tool type of the power service to be evaluated, and the The type data of deliverables for evaluating the electric power business and the type data of digital capability that the electric power business to be evaluated requires the staff to possess; wherein, the type data of capability types include: platform type, tool type, deliverable type and digital capability type;

The second matching unit is configured to acquire, in the preset solution structure system, solution structure data of the electric power business to be assessed according to the business scenario type of the electric power business to be assessed;

The combining unit is configured to, according to the platform type of the electric power service to be assessed, the tool type of the electric power service to be assessed, the deliverable type data of the electric power service to be assessed, the type data of the digitization capability required by the staff of the electric power service to be assessed, and The solution structure data of the electric power business to be evaluated is generated, and the solution document of the electric power business to be evaluated is generated.

Correspondingly, an embodiment of the present invention further provides a computer terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, where the processor executes the The computer program implements the digitalized business data processing method in the power industry according to the present invention.

Correspondingly, an embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program, wherein when the computer program runs, it controls the location where the computer-readable storage medium is located. The device executes the digitalized business data processing method for the power industry according to the present invention.

Description of drawings

1 is a schematic flowchart of a method for processing digital business data in the power industry provided by an embodiment of the present invention;

2 is a schematic structural diagram of an apparatus for processing digitized service data in the power industry provided by an embodiment of the present invention;

3 is a schematic structural diagram of a terminal device according to an embodiment of the present invention;

FIG. 4 is a schematic diagram of a digital capability introduction provided by an embodiment of the present invention;

FIG. 5 is a schematic diagram of a digital capability introduction provided by another embodiment of the present invention;

6 is a schematic diagram of an association relationship of a digital capability system provided by an embodiment of the present invention;

7 is a schematic diagram of an association relationship of a digital capability system provided by another embodiment of the present invention;

8 is a schematic structural diagram of a solution architecture system provided by an embodiment of the present invention;

9 is a schematic structural diagram of a solution structure system provided by another embodiment of the present invention;

FIG. 10 is a schematic diagram of an association relationship of a digital capability system provided by another embodiment of the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to 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, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

Example 1

Referring to FIG. 1, FIG. 1 is a schematic flowchart of a method for processing digital business data in the power industry provided by an embodiment of the present invention. As shown in FIG. 1, this embodiment includes steps 101 to 104, and each step is as follows:

Step 101: Acquire basic data of the power service to be evaluated.

In this embodiment, step 101 is specifically as follows: the specific information of the electric power service to be evaluated in the electric power industry is input by the staff as the basic data of the electric power service to be evaluated.

Step 102: According to the basic data, extract project change ratio data, technical feature data, project result data and topic category data, input into the neural network model for business scenario classification, and obtain the business scenario type of the power business to be evaluated.

In this embodiment, step 102 is specifically as follows: by identifying basic data, obtaining the project change proportion, technical characteristics, project results and thematic categories of the electric power business to be evaluated, and classifying them using a neural network model, and identifying and obtaining by the neural network The business scenario type of the power business to be evaluated.

In this embodiment, the extracted item change proportion data, technical feature data, project result data and thematic category data are input into the neural network unit for business scenario classification, specifically: according to the item change proportion data, Identify the proportion of changes in the project, and obtain the construction type data of the electric power business to be assessed; according to the technical characteristic data and the project result data, identify the technical characteristics and project results, and obtain the application type data of the electric power business to be assessed; The project result data and the subject category data are used to identify the project results and subject classification, and obtain the special type data of the electric power business to be evaluated; the construction type data, the application type data and the special type data, as input to the neural network model.

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

Judgment of construction type data according to the data of the project change ratio of the power business to be assessed: when the type and data of the power business to be assessed are completely different from the existing project business, and the project change ratio is 100%, it can be judged as a new type of construction ; When the type of power business to be assessed is exactly the same as the existing project business, and only data migration or address change occurs, and the proportion of project change is 0%, it can be judged as a migration type; when there are other differences, this When the proportion of changes in the project is between 0% and 100% (excluding 0% and 100%), it can be judged as a reconstruction category; among which, the construction type data includes: new construction, migration and reconstruction;

According to the project technical characteristic data and project result data of the electric power business to be evaluated, judge the application type data: when there is no project technical characteristic data, and the project result data contains a business function system, it is judged as application system type data; when the project technical characteristic data When the data includes data analysis technology or data warehouse technology, and the project result data includes analysis results, it is judged as data analysis data; when the technical characteristics of the project include artificial intelligence, OCR, RPA, quantum technology and big data, and the project results include When it is a new business, it is judged as new technology and business fusion data; when the project technical feature data includes tool selection comparison, and the project result data includes tool selection practical report, it is judged as tool procurement data; When the technical characteristic data includes behavior analysis and identification technology, user portrait, and the project result data includes operation data analysis report, it is judged as project operation data; among which, application type data includes: application system data, data analysis data, new technology Integrate with business data, tool procurement data and project operation data;

According to the project result data and thematic category data of the electric power business to be evaluated, determine the special type data: when the project result data includes the thematic domain governance plan report, and the thematic category data includes the key task thematic classification, it is judged as the thematic domain governance data; when the project When the result data includes business application analysis reports, and the thematic category data includes key business classifications, it is judged as business thematic analysis data; among them, the special category data includes: thematic domain governance data and business thematic analysis data;

By combining and summarizing the construction type data, application type data and special type data, the business scenario types of the power business are formed; the business scenario types include: application system construction, data analysis application construction, application system transformation, visual display, based on the network province platform Application migration, thematic domain data quality management, business domain digital planning, business thematic analysis, demonstration application of new technology and business integration, business application technology architecture transformation, tool procurement, digital operation, digital platform construction and application sporadic transformation.

In this embodiment, the construction method of the neural network model is specifically: obtaining historical solution case data of several power businesses, and extracting construction type data, application type data and special type data of the historical solution case data; The construction type data, the application type data and the special type data are used to generate the business scenario type of the historical solution case data; model training is performed using the business scenario type of the historical solution case data as a training sample, and the neural network is obtained. Model.

Step 103: According to the business scenario type, the preset digital capability system and the preset solution structure system are matched respectively to obtain capability type data and solution structure data corresponding to the business scenario type;

In this embodiment, the construction method of the preset digital capability system is specifically: according to the type of business scenario, combined with the solution process of the electric power business, respectively obtain a number of digital capabilities that the electric power business needs the staff to have in all the solution processes Type data; wherein, the solution process includes: project initiation, project research, scheme design, scheme execution and project delivery, and the several power services are specifically: power services of multiple different business scenarios; Historical solution case data, respectively obtain a number of first information of the electric power business; wherein, the first information includes: platform type data, tool type data and deliverable type data; The first information of the electric power business is combined with the correlation between the business scenario type and the digital capability type data, platform type data, tool type data, and deliverable type data, respectively, to generate the preset digital capability system.

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 description, please refer to FIG. 4 and FIG. 5 .

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 and Figure 7:

In this embodiment, the construction method of the preset solution structure system is specifically: according to a number of historical solution case data of the power business, respectively acquiring a number of key element data of the solution of the power business; The solution key element data of the power business is combined with the relationship between the business scenario type and the solution key element data to obtain the preset solution structure system.

In a specific embodiment, through the historical solution case data of several power businesses, combined with the characteristics of the business scenario data and the digital capability system, the solution structure under each business scenario is obtained, thereby generating multiple solutions for different business scenarios. Solution structure; the solution structure includes: overview, business process, business pain points, business goals, overall solution, application architecture, data traceability, data model, data governance scheme, data governance effectiveness, technical architecture, deployment architecture, and overall promotion There are 18 key elements including plans, operation plan strategies, operation data analysis, operation improvement suggestions, and effectiveness value. For a better description, please refer to Figure 8 and Figure 9, where √ represents mandatory requirements, ○ represents recommended filling, and X represents no need to fill in.

In this embodiment, the method for constructing the preset digital capability system further includes: separately acquiring second information of several power services according to the historical solution case data of several power services; wherein the second information includes: Back-end support capability type data, digital role type data, digital personnel type data, business role type, and business personnel type data; according to a number of business scenario types of the power business and a number of second information of the power business, combined with the business scenario type Respectively and the background support capability type data, digital role type data, digital personnel type data, business role type data, business personnel type data, improve the preset digital capability system. See Figure 10 for a better illustration.

In a specific embodiment, the method for constructing a preset digital capability system is specifically as follows: analyzing and obtaining the digital capability type data, platform type data, and tool type data of each business scenario type through a large amount of historical solution case data of power business. The relationship between 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, and obtain the digital capability mapping matrix corresponding to each business scenario data, Thereby obtaining a digital capability system.

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

In this embodiment, generating the solution document of the electric power service to be evaluated according to the business scenario type, the capability type data and the structural data is specifically: according to the business scenario type of the electric power service to be evaluated , in the preset digital capability system, obtain the platform type data of the power business to be assessed, the tool type data of the power business to be assessed, the deliverable type data of the power business to be assessed, and the power services to be assessed that the staff needs to have. Digital capability type data; 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, Obtain the solution structure data of the electric power business to be assessed; according to the platform type of the electric power business to be assessed, the tool type of the electric power business to be assessed, the type of deliverables of the electric power business to be assessed, and the digitization required by the staff of the electric power business to be assessed The capability type data and the solution structure data of the electric power business to be assessed are used to generate the solution document of the electric power business to be assessed.

In order to better explain this embodiment, the following example is provided for illustration: the obtained power business data to be evaluated, the project change ratio data, technical feature data, project result data and thematic category data are extracted, and then input into the neural network model. According to the project change ratio data, the construction type (new construction, renovation or migration type) is judged, and the application type (application system type, data analysis type, new technology and business integration type) is judged according to the technical characteristic data and project result data. , tool procurement and operation), determine the special type (thematic domain governance and business thematic analysis) according to the project result data and thematic category data, and finally combine and summarize to generate the determined business scenario category. According to the generated business scenario category, in the digital capability system obtained from the 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 from the analysis : Match the solution structure corresponding to the business scenario category of the power business to be evaluated, 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 to be evaluated. Power business corresponding solution document.

In this embodiment, the electric business to be evaluated is evaluated in three dimensions, and an accurate business scenario is obtained, the preset digital capability system is matched for the business scenario, and multiple data corresponding to the electric business to be evaluated are obtained. The solution structure system is obtained, the solution structure template is obtained, and the multiple data generated are input into the solution structure template to obtain the solution template document of the electric power business to be evaluated. Compared with manually filling in solutions in the prior art, the present embodiment uses digital language to generate solutions, which can speed up the generation efficiency of solutions, and realize automatic generation of solutions and automatic filling.

Embodiment 2

Referring to FIG. 2, FIG. 2 is a schematic structural diagram of a digital business data processing device for the power industry provided by an embodiment of the present invention, including: an acquisition module 201, a classification module 202, a matching module 203, and a generation module 204;

The obtaining module 201 is used to obtain the basic data of the electric power service to be evaluated;

The classification module 202 is configured to extract project change proportion data, technical feature data, project result data and topic category data according to the basic data, input them into the neural network model for business scenario classification, and obtain the power business to be evaluated. Type of business scenario;

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

The generating module 204 is configured to generate the solution document of the electric power business to be evaluated according to the business scenario type, the capability type data and the solution structure data.

As an improvement of the above scheme, the extracted item change ratio data, technical feature data, project result data and thematic category data are input into the neural network unit for business scenario classification, specifically: according to the item change ratio data, Identify the proportion of changes in the project, and obtain the construction type data of the electric power business to be assessed; according to the technical characteristic data and the project result data, identify the technical characteristics and project results, and obtain the application type data of the electric power business to be assessed; The project result data and the subject category data are used to identify the project results and subject classification, and obtain the special type data of the electric power business to be evaluated; the construction type data, the application type data and the special type data, as input to the neural network model.

As an improvement of the above solution, the construction method of the neural network model is specifically: obtaining historical solution case data of several power businesses, and extracting the construction type data, application type data and special type data of the historical solution case data; The construction type data, the application type data and the special type data are used to generate the business scenario type of the historical solution case data; model training is performed using the business scenario type of the historical solution case data as a training sample, and the neural network is obtained. Model.

As an improvement of the above solution, the method for constructing the preset digital capability system is to obtain, according to the type of business scenarios, combined with the solution process of the power business, respectively, obtain a number of digital capability types that the staff needs to have in all the solution processes of the power business. data; wherein, the solution process includes: project initiation, project research, scheme design, scheme execution and project delivery, and the several power services are specifically: power services of multiple different business scenario types; according to the history of several power services Solve the case data, respectively obtain a number of first information of the electric power business; wherein, the first information includes: platform type data, tool type data and deliverable type data; The first information of the electric power business is combined with the correlation between the business scenario type and the digital capability type data, platform type data, tool type data, and deliverable type data, respectively, to generate the preset digital capability system.

As an improvement of the above solution, the construction method of the preset solution structure system is specifically: according to a number of historical solution case data of the power business, respectively acquiring a number of key element data of the solution of the power business; The solution key element data of the power business is combined with the relationship between the business scenario type and the solution key element data to obtain the preset solution structure system.

As an improvement of the above solution, the method for constructing the preset digital capability system further includes: acquiring the second information of several power services according to the historical solution case data of the power services; wherein the second information includes: Back-end support capability type data, digital role type data, digital personnel type data, business role type, and business personnel type data; according to a number of business scenario types of the power business and a number of second information of the power business, combined with the business scenario type Respectively and the background support capability type data, digital role type data, digital personnel type data, business role type data, business personnel type data, improve the preset digital capability system.

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

The first matching unit is configured to obtain, in the preset digital capability system, the platform type data of the power service to be evaluated, the tool type data of the power service to be evaluated, the data of the tool type of the power service to be evaluated, and the The type data of deliverables for evaluating the electric power business and the type data of digital capability that the electric power business to be evaluated requires the staff to possess; wherein, the type data of capability types include: platform type, tool type, deliverable type and digital capability type;

The second matching unit is configured to acquire, in the preset solution structure system, solution structure data of the electric power business to be assessed according to the business scenario type of the electric power business to be assessed;

The combining unit is configured to, according to the platform type of the electric power service to be assessed, the tool type of the electric power service to be assessed, the deliverable type data of the electric power service to be assessed, the type data of the digitization capability required by the staff of the electric power service to be assessed, and The solution structure data of the electric power business to be evaluated is generated, and the solution document of the electric power business to be evaluated is generated.

In this embodiment, the basic data of the electric power business to be evaluated is obtained through the acquisition module, and the business scenario type of the electric power business to be evaluated is obtained according to the classification module, and the obtained business scenario type is input into the matching module for matching, and the pending business scenario type is obtained. Evaluate the digital capability and solution structure corresponding to the electric power business, and then input it into the generation module to generate the solution document of the electric power business to be assessed. This embodiment realizes the automatic processing of the power service data, and improves the work efficiency of the power service.

Embodiment 3

Referring to FIG. 3, FIG. 3 is a schematic structural diagram of a terminal device provided by an embodiment of the present invention.

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, it implements the steps in the above embodiments of the digital business data processing methods for the power industry, such as all steps of the power industry digital business data processing method shown in FIG. 1 . Alternatively, when the processor executes the computer program, the functions of the modules in the above device embodiments are implemented, for example, all modules of the digital business data processing device for the electric power industry shown in FIG. 2 .

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

Those skilled in the art can understand that the schematic diagram is only an example of a terminal device, and does not constitute a limitation to the terminal device, and may include more or less components than the one shown in the figure, or combine some components, or different components, For example, the terminal device may further include an input and output device, a network access device, a bus, and the like.

The so-called processor 301 may be a central processing unit (Central Processing Unit, CPU), or other general-purpose processors, digital signal processors (Digital Signal Processors, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), Off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like. The general-purpose processor can be a microprocessor or the processor can also be 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.

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

Wherein, if the modules/units integrated in the terminal device are implemented in the form of software functional units and sold or used as independent products, they may be stored in a computer-readable storage medium. Based on this understanding, the present invention can implement all or part of the processes in the methods of the above embodiments, and can also be completed by instructing relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the program is executed by the processor, the steps of the foregoing method embodiments can be implemented. Wherein, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file or some intermediate form, and the like. The computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM, Read-Only Memory) , Random Access Memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.

It should be noted that the device embodiments described above are only 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 unit, that is, it can be located in one place, or it can be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment. In addition, in the 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. Those of ordinary skill in the art can understand and implement it without creative effort.

The above are the preferred embodiments of the present invention. It should be pointed out that for those skilled in the art, without departing from the principles of the present invention, several improvements and modifications can be made, and these improvements and modifications may also be regarded as It is the protection scope of the present invention.

Claims (10)

1. a digital business data processing method in the power industry, characterized in that, comprising: Obtain the basic data of the power business to be evaluated; According to the basic data, extract the project change ratio data, technical feature data, project result data and thematic category data, input 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, the preset digital capability system and the preset solution structure system are matched respectively to obtain capability type data and solution structure data corresponding to the business scenario type; According to the business scenario type, the capability type data and the solution structure data, a solution document of the power business to be evaluated is generated. 2. The business data processing method for digitization in the power industry according to claim 1, wherein the extraction project change ratio data, technical feature data, project result data and thematic category data are input to the neural network unit for business Scenario classification, specifically: According to the project change proportion data, identify the project change proportion, and obtain the construction type data of the electric power business to be evaluated; According to the technical characteristic data and the project result data, identify the technical characteristic and the project result, and obtain the application type data of the electric power business to be evaluated; According to the project result data and the thematic category data, identify the project results and thematic classification, and obtain the special type data of the electric power business to be evaluated; The construction type data, the application type data and the special type data are used as the input of the neural network model. 3. The digitalized business data processing method in the power industry according to claim 1, wherein the method for constructing the neural network model is specifically: Obtain historical solution case data of several power businesses, and extract construction type data, application type data and special type data of the historical solution case data; According to the construction type data, the application type data and the special type data, the business scenario type of the historical solution case data is generated; Model training is performed using the business scenario type of the historical solution case data as a training sample to obtain the neural network model. 4. The method for processing digital business data in the power industry according to claim 1, wherein the method for constructing the preset digital capability system is specifically: According to the type of business scenario, combined with the solution process of the power business, obtain a number of data on the types of digital capabilities required by the staff in all the solution processes of the power business; wherein, the solution process includes: project initiation, project research, scheme design, scheme Execution and project delivery, and the several power services are specifically: multiple power services of different business scenario types; According to the historical solution case data of several power services, respectively obtain first information of several power services; 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 services and the first information of several of the power services, and in combination with the correlation between the business scenario types and digital capability type data, platform type data, tool type data, and deliverable type data, respectively, The preset digital capability system is generated. 5. The method for processing digital business data in the power industry according to claim 4, wherein the method for constructing the preset solution structure system is specifically: According to the historical solution case data of a plurality of the electric power businesses, respectively obtain the key element data of the solutions of the electric power businesses; The preset solution structure system is obtained according to the data of several key elements of the solution of the electric power business and in combination with the relationship between the business scenario type and the data of the key elements of the solution. 6. The method for processing digital business data in the power industry according to claim 4, wherein the method for constructing the preset digital capability system further comprises: According to the historical solution case data of several power services, respectively obtain the second information 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 Person type data; According to the business scenario types of the power services and the second information of the power services, combined with the business scenario types and background support capability type data, digital role type data, digital personnel type data, business role type data, business personnel The relationship between types of data improves the preset digital capability system. 7 . The method for processing digital business data in the power industry according to claim 5 , wherein, according to the business scenario type, the capability type data, and the structure data, generating the data of the power business to be evaluated. 8 . Solution documentation, specifically: According to the business scenario type of the electric power business to be assessed, in the preset digital capability system, obtain the platform type data of the electric power business to be assessed, the tool type data of the electric power business to be assessed, the deliverable type data of the electric power business to be assessed, and The type of digital capability data that the electric power business to be assessed needs to possess; wherein, the type of capability data includes: type of platform, type of tool, type of deliverables, and type of digital capability; According to the business scenario type of the electric power business to be assessed, in the preset solution structure system, obtain solution structure data of the electric power business to be assessed; According to the platform type of the electric power service to be assessed, the tool type of the electric power service to be assessed, the type of deliverables data of the electric power service to be assessed, the data of the type of digital capability required by the staff of the electric power service to be assessed, and the solution of the electric power service to be assessed Structure data to generate solution documents for the power business to be evaluated. 8. A digital business data processing device in the power industry, characterized in that it comprises: an acquisition module, a classification module, a matching module and a generation module; The acquisition module is used to acquire the basic data of the electric power business to be evaluated; The classification module is used for extracting project change proportion data, technical feature data, project result data and topic category data according to the basic data, and inputting the data into the neural network model for classification of business scenarios to obtain the business of the electric power business to be evaluated. scene type; The matching module is configured to perform matching through a preset digital capability system and a preset solution structure system respectively according to the business scenario type, and obtain capability type data and solution structure data corresponding to the business scenario type; The generating module is configured to generate the solution document of the electric power business to be evaluated according to the business scenario type, the capability type data and the solution structure data. 9. 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, when the processor executes the computer program, A digital business data processing method in the power industry according to any one of claims 1 to 7. 10. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored computer program, wherein, when the computer program is run, the device where the computer-readable storage medium is located is controlled to perform as claimed in the claims A digital business data processing method for the power industry as described in any one of 1 to 7.

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