A method, device and electronic equipment for analyzing data of power grid business digitalization project

Abstract

The present invention discloses a method, device and electronic equipment for analyzing data of power grid business digitalization projects, wherein the method obtains the project to be analyzed and its cost coefficient and function coefficient; analyzes the business demand and project importance of the project to be analyzed based on the technical analysis model of the power grid digitalization project; calculates the current project value of the project to be analyzed based on the cost coefficient, function coefficient, business demand and project importance, without the need for manual entry of the digitalization project, and can accurately analyze the project value of the power grid project, thereby improving the efficiency of project analysis.

Description

Technical Field

[0001] The present invention relates to the field of power grid business information technology, and in particular to a power grid business digital project data analysis method, device and electronic equipment. Background Art

[0002] Power grid digitalization projects must consider the coordinated development of various digital projects. Therefore, it's necessary to establish an enterprise digitalization project architecture from a holistic perspective, defining all aspects of enterprise digitalization from the perspectives of business, functional, and technical architectures. Enterprise architecture is a comprehensive description of all key elements and relationships that comprise an organization. Power grid digitalization project architecture, however, evolves from the power grid informationization architecture to meet the needs of power grid digital development and operation.

[0003] The effectiveness evaluation of informatization construction is primarily conducted through traditional post-project evaluations, focusing on qualitative analysis of project construction results, and primarily on the project's system functionality and investment returns. Traditional evaluation methods primarily rely on manual entry of digitalization projects. This method is clearly inefficient for project analysis and cannot meet the needs of in-depth application of large-scale digitalization construction. Summary of the Invention

[0004] Therefore, the technical problem to be solved by the present invention is to overcome the problem that the project analysis efficiency in the existing technology is low and cannot meet the needs of in-depth application of large-scale digital construction, thereby providing a power grid business digital project data analysis method, device and electronic equipment.

[0005] According to a first aspect, an embodiment of the present invention provides a method for analyzing power grid service digitalization project data, comprising the following steps:

[0006] Obtain the project to be analyzed and its cost coefficient and function coefficient;

[0007] Analyzing the business demand and project importance of the project to be analyzed based on the technical analysis model of the power grid digitalization project;

[0008] The current project value of the project to be analyzed is calculated according to the cost coefficient, the function coefficient, the business demand degree and the project importance.

[0009] In one embodiment, the power grid digitalization project technical analysis model is created by:

[0010] Obtain data on the digital architecture, digital planning, digital project types, and technical indicators of power grid enterprises;

[0011] The power grid digitalization project technical analysis model is created based on the power grid enterprise digitalization architecture data, the power grid enterprise digitalization planning data, the power grid enterprise digitalization project type data and the power grid enterprise technical indicator data.

[0012] In one embodiment, analyzing the business demand and project importance of the project to be analyzed based on the power grid digitalization project technical analysis model includes:

[0013] Obtaining the architecture type, business type, technology type, and business scenario of the project to be analyzed;

[0014] The power grid digitalization project technical analysis model is used to output the business demand and project importance that match the architecture type, business type, technology type and business scenario of the project to be analyzed.

[0015] In one embodiment, the current project value of the project to be analyzed is calculated based on the cost coefficient, the function coefficient, the business demand degree, and the project importance, using the following formula:

[0016] S y =(∝+β+γ+δ)*M;

[0017] Among them, S y is the current project value of the project to be analyzed, ∝ is the cost coefficient, β is the function coefficient, γ is the business demand, δ is the project importance, and M is the number of working days required to complete the project to be analyzed.

[0018] According to a second aspect, an embodiment of the present invention further provides a data analysis device for a power grid business digitalization project, comprising the following modules:

[0019] An acquisition module is used to obtain the project to be analyzed and its cost coefficient and function coefficient;

[0020] An analysis module, configured to analyze the business demand and project importance of the project to be analyzed based on the technical analysis model of the power grid digitalization project;

[0021] A calculation module is used to calculate the current project value of the project to be analyzed based on the cost coefficient, the functional coefficient, the business demand degree and the project importance.

[0022] In one embodiment, the power grid digitalization project technical analysis model is created by the following modules:

[0023] The first data acquisition submodule is used for the digital architecture data, digital planning data, digital project type data and technical indicator data of the power grid enterprise;

[0024] The model creation submodule is used to create the power grid digitalization project technical analysis model based on the power grid enterprise digitalization architecture data, the power grid enterprise digitalization planning data, the power grid enterprise digitalization project type data and the power grid enterprise technical indicator data.

[0025] In one embodiment, the analysis module includes:

[0026] The second data acquisition submodule is used to obtain the architecture type, business type, technology type and business scenario of the project to be analyzed;

[0027] The matching submodule is used to use the power grid digitalization project technical analysis model to output the business demand and project importance that match the architecture type, business type, technology type and business scenario of the project to be analyzed.

[0028] According to the third aspect, an embodiment of the present invention further provides a computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable the computer to execute the power grid business digitalization project data analysis method described in the first aspect or any embodiment of the first aspect.

[0029] According to the fourth aspect, an embodiment of the present invention also provides an electronic device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the computer instructions to execute the power grid business digitalization project data analysis method described in the first aspect or any embodiment of the first aspect.

[0030] The technical solution of the present invention has the following advantages:

[0031] The present invention provides a method, device and electronic equipment for analyzing data of power grid business digitalization projects. The method obtains the project to be analyzed and its cost coefficient and function coefficient; analyzes the business demand and project importance of the project to be analyzed based on the technical analysis model of the power grid digitalization project; and calculates the current project value of the project to be analyzed based on the cost coefficient, function coefficient, business demand and project importance. Without manual entry of the digitalization project, the method can accurately analyze the project value of the power grid project and improve the efficiency of project analysis. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0033] Figure 1 This is a flowchart of a specific example of a method for analyzing data of a power grid business digitalization project in an embodiment of the present invention;

[0034] Figure 2 This is a block diagram of a specific example of a device for analyzing data of a power grid business digitalization project according to an embodiment of the present invention;

[0035] Figure 3 FIG. 4 is a hardware schematic diagram of an electronic device in an embodiment of the present invention. DETAILED DESCRIPTION

[0036] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0037] In the description of the present invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limitations on the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0038] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "installed," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; internal connections between two components; wireless connections or wired connections. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0039] In addition, the technical features involved in different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0040] The present invention discloses a method for analyzing data of a power grid business digital project. Figure 1 As shown, the following steps are included:

[0041] Step S11: Obtain the project to be analyzed and its cost coefficient and function coefficient.

[0042] The project to be analyzed is the project to be analyzed. For example, a power grid fault inspection project is required. The cost coefficient is calculated by combining the workload and hardware and software costs of the project. The functional coefficient is determined by combining the project's planning objectives within the business scenario.

[0043] Step S12: Based on the power grid digitalization project technical analysis model, the business demand and project importance of the project to be analyzed are analyzed.

[0044] In one embodiment, the above step S12, the technical analysis model of the power grid digitalization project, is created by the following steps:

[0045] Step 1: Obtain the digital architecture data, digital planning data, digital project type data and technical indicator data of power grid enterprises.

[0046] Step 2: Create a technical analysis model for power grid digitalization projects based on the power grid enterprise digital architecture data, power grid enterprise digitalization planning data, power grid enterprise digitalization project type data, and power grid enterprise technical indicator data.

[0047] Therefore, the power grid digitalization project technical analysis model in the embodiment of the present invention integrates the power grid enterprise digitalization architecture data, the power grid enterprise digitalization planning data, the power grid enterprise digitalization project type data and the power grid enterprise technical indicator data.

[0048] In another embodiment, the above step S12, analyzing the business demand and project importance of the project to be analyzed based on the power grid digitalization project technical analysis model, includes:

[0049] Step 1: Obtain the architecture type, business type, technology type, and business scenario of the project to be analyzed.

[0050] Architecture types include business architecture, application architecture, data architecture, and technical architecture. Business types include planning and launching businesses, infrastructure construction businesses, equipment installation businesses, and power grid marketing businesses. Technology types include data center technology, business application technology, and information security technology. Business scenarios include basic resource operations, power grid data services, and digital platform ecosystem development.

[0051] Step 2: Use the power grid digitalization project technical analysis model to output the business demand and project importance that match the architecture type, business type, technology type, and business scenario of the project to be analyzed.

[0052] Because the power grid digitalization project technical analysis model integrates power grid enterprise digital architecture data, power grid enterprise digital planning data, power grid enterprise digital project type data, and power grid enterprise technical indicator data, it combines the architecture type, business type, technology type, and business scenario of the project to be analyzed to specifically analyze the corresponding data information. For example, if the project to be analyzed is Project A, its corresponding architecture type is technical architecture, its technology type is information security technology, and its business scenario is power grid data service scenario, the power grid digitalization project technical analysis model combines the power grid enterprise digital architecture data, power grid enterprise digital planning data, power grid enterprise digital project type data, and power grid enterprise technical indicator data to analyze the historical information related to the project to be analyzed, as well as the degree of user demand and project usage frequency, and thus match the project to the appropriate business demand and project importance.

[0053] Step S13: Calculate the current project value of the project to be analyzed based on the cost coefficient, function coefficient, business demand degree and project importance.

[0054] In one embodiment, the above step S13,

[0055] Based on the cost coefficient, function coefficient, business demand and project importance, the current project value of the project to be analyzed is calculated using the following formula:

[0056] S y =(∝+β+γ+δ)*M;

[0057] Among them, S y is the current project value of the project to be analyzed, ∝ is the cost coefficient, β is the functional coefficient, γ is the business demand, δ is the project importance, and M is the number of working days required to complete the project to be analyzed.

[0058] For example: ∝=0.25,β=0.61,γ=0.83,δ=0.55,M=28 days, then S y =(∝+β+γ+δ)*M=(0.25+0.61+0.83+0.55)*28=62.72.

[0059] The power grid business digitalization project data analysis method in the embodiment of the present invention obtains the project to be analyzed and its cost coefficient and function coefficient; analyzes the business demand and project importance of the project to be analyzed based on the power grid digitalization project technical analysis model; calculates the current project value of the project to be analyzed based on the cost coefficient, function coefficient, business demand and project importance, without the need for manual entry of digital projects, and can accurately analyze the project value of power grid projects, thereby improving project analysis efficiency.

[0060] Based on the same concept, the embodiment of the present invention also provides a data analysis device for a power grid business digitalization project, such as Figure 2 As shown, it includes the following modules:

[0061] The acquisition module 21 is used to acquire the project to be analyzed and its cost coefficient and function coefficient.

[0062] The analysis module 22 is used to analyze the business demand and project importance of the project to be analyzed based on the power grid digitalization project technical analysis model.

[0063] The calculation module 23 is used to calculate the current project value of the project to be analyzed based on the cost coefficient, function coefficient, business demand degree and project importance.

[0064] In one embodiment, the technical analysis model for a power grid digitalization project is created using the following modules:

[0065] The first data acquisition submodule is used for the digital architecture data, digital planning data, digital project type data and technical indicator data of the power grid enterprise;

[0066] The model creation submodule is used to create a technical analysis model for a power grid digitalization project based on the power grid enterprise digitalization architecture data, power grid enterprise digitalization planning data, power grid enterprise digitalization project type data and power grid enterprise technical indicator data.

[0067] In one embodiment, the analysis module includes:

[0068] The second data acquisition submodule is used to obtain the architecture type, business type, technology type and business scenario of the project to be analyzed;

[0069] The matching submodule is used to use the power grid digitalization project technical analysis model to output the business demand and project importance that match the architecture type, business type, technology type and business scenario of the project to be analyzed.

[0070] In one embodiment, the current project value of the project to be analyzed is calculated based on the cost coefficient, function coefficient, business demand degree, and project importance, and is calculated using the following formula:

[0071] S y =(∝+β+γ+δ)*M;

[0072] Among them, S y is the current project value of the project to be analyzed, ∝ is the cost coefficient, β is the functional coefficient, γ is the business demand, δ is the project importance, and M is the number of working days required to complete the project to be analyzed.

[0073] Based on the same concept, an embodiment of the present invention provides an electronic device, such as Figure 3As shown, the electronic device may include a processor 31 and a memory 32, wherein the processor 31 and the memory 32 may be connected via a bus or other means. Figure 3 The bus connection is taken as an example.

[0074] The processor 31 may be a central processing unit (CPU). The processor 31 may also be 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, or a combination of the above chips.

[0075] Memory 32, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer executable programs, and modules. Processor 31 executes the non-transitory software programs, instructions, and modules stored in memory 32 to perform various processor functions and data processing, thereby implementing the power grid service digitalization project data analysis method described in the above embodiment.

[0076] The memory 32 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created by the processor 31, etc. In addition, the memory 32 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 32 may optionally include a memory remotely located relative to the processor 31, and these remote memories may be connected to the processor 31 via a network. Examples of the above-mentioned network include, but are not limited to, a power grid, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0077] The one or more modules are stored in the memory 32 , and when executed by the processor 31 , perform the power grid service digitalization project data analysis method in the embodiment shown in the accompanying drawings.

[0078] The specific details of the above electronic device can be understood by referring to the corresponding descriptions and effects in the embodiments shown in the accompanying drawings, and will not be repeated here.

[0079] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive (HDD), or a solid-state drive (SSD). The storage medium can also include a combination of the above-mentioned types of memory.

[0080] Obviously, the above embodiments are merely examples for clarity of explanation and are not intended to limit the implementation methods. Those skilled in the art will readily appreciate that other variations or modifications based on the above descriptions are possible. It is not necessary and impossible to enumerate all implementation methods here. Obvious variations or modifications arising therefrom remain within the scope of protection of the present invention.

Claims

1. A method for analyzing data of a power grid business digitalization project, characterized in that: The steps include: Obtain the project to be analyzed and its cost coefficient and function coefficient; Analyzing the business demand and project importance of the project to be analyzed based on the technical analysis model of the power grid digitalization project; Calculating the current project value of the project to be analyzed based on the cost coefficient, the function coefficient, the business demand degree, and the project importance; The technical analysis model of the power grid digitalization project is created in the following way: Obtain data on the digital architecture, digital planning, digital project types, and technical indicators of power grid enterprises; Creating a technical analysis model for the power grid digitalization project based on the power grid enterprise digitalization architecture data, the power grid enterprise digitalization planning data, the power grid enterprise digitalization project type data, and the power grid enterprise technical indicator data; Analyzing the business demand and project importance of the project to be analyzed based on the power grid digitalization project technical analysis model includes: Obtain the architecture type, business type, technology type, and business scenario of the project to be analyzed; where architecture types include: business architecture, application architecture, data architecture, and technical architecture; business types include: planning and launching business, infrastructure business, equipment construction business, and power grid marketing business; technology types include: data center technology, business application technology, and information security technology; business scenarios include: basic resource operation scenario, power grid data service scenario, and digital platform ecosystem construction scenario; Utilizing the power grid digitalization project technical analysis model to output a business demand and project importance that matches the architecture type, business type, technology type, and business scenario of the project to be analyzed; The current project value of the project to be analyzed is calculated based on the cost coefficient, the function coefficient, the business demand degree, and the project importance, using the following formula: = ）*M； in, is the current project value of the project to be analyzed, is the cost coefficient, is the functional coefficient, is the business demand degree, is the importance of the project, and M is the number of working days required to complete the project to be analyzed.

2. A data analysis device for a power grid business digitalization project, characterized in that: Includes the following modules: An acquisition module is used to obtain the project to be analyzed and its cost coefficient and function coefficient; An analysis module, configured to analyze the business demand and project importance of the project to be analyzed based on the technical analysis model of the power grid digitalization project; a calculation module, configured to calculate the current project value of the project to be analyzed based on the cost coefficient, the function coefficient, the business demand degree, and the project importance; The technical analysis model of the power grid digitalization project is created through the following modules: The first data acquisition submodule is used for the digital architecture data, digital planning data, digital project type data and technical indicator data of the power grid enterprise; A model creation submodule, configured to create a technical analysis model for the power grid digitalization project based on the power grid enterprise digitalization architecture data, the power grid enterprise digitalization planning data, the power grid enterprise digitalization project type data, and the power grid enterprise technical indicator data; Analysis modules include: The second data acquisition submodule is used to obtain the architecture type, business type, technology type and business scenario of the project to be analyzed; a matching submodule, configured to utilize the power grid digitalization project technical analysis model to output a business demand and project importance that matches the architecture type, business type, technology type, and business scenario of the project to be analyzed; wherein architecture types include: business architecture, application architecture, data architecture, and technical architecture; business types include: planning and launching business, infrastructure business, equipment construction business, and power grid marketing business; technology types include: data center technology, business application technology, and information security technology; and business scenarios include: basic resource operation scenario, power grid data service scenario, and digital platform ecosystem construction scenario; Based on the cost coefficient, function coefficient, business demand and project importance, the current project value of the project to be analyzed is calculated using the following formula: = ）*M； in, is the current project value of the project to be analyzed, is the cost coefficient, is the functional coefficient, For business needs, is the project importance, and M is the number of working days required to complete the project to be analyzed.

3. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the power grid service digitalization project data analysis method according to claim 1.

4. An electronic device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the power grid business digitalization project data analysis method according to claim 1 by executing the computer instructions.

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