Power enterprise process financial analysis system and method

Abstract

The invention provides a power enterprise process financial analysis system and method, and belongs to the field of financial data analysis, and the system comprises a multivariate data importing module which is used for importing power enterprise financial data; the project cost structure analysis module is used for analyzing the difference between the budget issuing amount and the final cost amount of each project; the project cost difference analysis module is used for comparing the difference between the reality and the budget; the project income structure analysis module is used for analyzing different business income of each unit; the project income difference analysis module is used for analyzing income of the main business and other businesses; the financial index analysis module is used for evaluating the economic health condition and the operation performance of the company; the trend analysis module is used for analyzing the change trend of all indexes of each unit; and the comparative analysis module is used for transversely comparing the difference of each unit index. The power enterprise financial data analysis efficiency can be improved, and the method can be widely applied to the technical field of financial data analysis.

Description

Technical Field

[0001] The present invention belongs to the field of digital financial data analysis, and in particular relates to a process-based financial analysis system and method for an electric power enterprise. Background Art

[0002] As the wave of digitalization sweeps across many industries, it is also a general trend for the energy and power industry to choose digital transformation. This transformation is related to the long-term development of the industry. In this context, as an important part of the energy and power industry, power grid companies must undergo digital transformation.

[0003] The core of digital transformation lies in the deep integration of information technology and industry. For the energy and power industry, this means comprehensively upgrading and optimizing all aspects of power production, transmission, distribution and consumption through advanced information and communication technologies. This integration can not only improve energy utilization efficiency, but also promote the adjustment of energy structure and promote the development of the energy industry towards a more intelligent, green and service-oriented direction.

[0004] With the comprehensive and in-depth construction of smart grids and energy internet, power data is showing an explosive growth trend. These data cover all aspects of power production, including power generation, transmission, distribution, and power consumption. The data types and data sources are becoming increasingly rich, from traditional structured data to unstructured data such as text, images, and videos, which are constantly accumulating and expanding.

[0005] Faced with such a huge amount of data resources, how to utilize, mine and analyze power big data has become an urgent problem for power companies to solve. Through big data technology, power companies can process and analyze massive data in real time, so as to better understand market demand, optimize resource allocation and improve operational efficiency. In addition, big data analysis can also help power companies discover potential risks and opportunities and provide a scientific basis for the company's strategic decision-making.

[0006] Through digital transformation, power companies can not only improve their profitability and market competitiveness, but also provide more stable, efficient and clean power services to society, which is conducive to improving people's production and quality of life.

[0007] The existing financial management systems of power enterprises are mostly focused on financial process management, but the financial data managed cannot be combined with the business data, and it is difficult to clarify the correlation between business data and financial processes. Therefore, a process-based financial analysis system and method for power enterprises is proposed. Summary of the invention

[0008] In order to solve the problems existing in the prior art, the present invention provides a process-based financial analysis system and method for electric power enterprises to solve the problems raised in the above background and provide an efficient tool for the digitalization of process-based financial analysis for electric power enterprises.

[0009] In order to achieve the above-mentioned object, in a first aspect, the present invention provides a process-based financial analysis method for an electric power enterprise, comprising the following steps:

[0010] S1, first imports, cleans and organizes enterprise business and financial data through the multi-source data import module;

[0011] S2, calculate project cost related indicators: project cost related indicators include maintenance and repair fees, management housing maintenance fees, safety fees, business fees, material amounts, service amounts, quantity differences and price differences;

[0012] S3, calculate project revenue related indicators, including electricity sales revenue, rural power grid loan repayment fund return revenue, power transmission revenue, high reliability power supply revenue, self-owned power plant standby capacity revenue, entrusted operation and maintenance revenue, and renewable energy electricity price additional revenue quantity difference and price difference;

[0013] S4, calculate financial indicators, including profitability, debt-paying ability, operating efficiency, and liquidity;

[0014] S5, conduct longitudinal trend analysis on cost and expense indicators, revenue and profit indicators, and financial analysis indicators according to provincial companies, power supply companies, and operation centers to obtain trend data;

[0015] S6, compare the project cost-related indicators, project revenue-related indicators, and other financial analysis indicators horizontally according to the municipal companies, compare the cost and expense indicators horizontally according to the subordinate operation centers, and analyze the differences between the power supply companies and operation centers.

[0016] Furthermore, in S1, Spark SQL is used to read the CSV data source output from the enterprise financial management or business system and store it in the database.

[0017] Furthermore, by writing INSERT and SELECT statements in SQL, project cost-related indicators, project revenue-related indicators and financial indicators are calculated.

[0018] Furthermore, the multi-source data includes (what kind of basic data) the multi-source data includes financial data such as gross labor productivity, taxes payable, total operating income, total operating costs, total profits, and business data such as comprehensive voltage qualification rate, comprehensive line loss rate, average power outage time for users, and transmission line failure outage rate.

[0019] Furthermore, the trend data is visualized to obtain a trend graph and a changing trend line.

[0020] In a second aspect, the present invention provides a process-based financial analysis system for electric power enterprises, including a multi-source data import module, a project cost structure analysis module, a project cost difference analysis module, a project revenue structure analysis module, a project revenue difference analysis module, a financial indicator analysis module, a trend analysis module, and a comparative analysis module:

[0021] The multi-source data import module is used to import financial data from multiple sources and automatically classify and enter different financial data;

[0022] The project cost structure analysis module is used to analyze the difference between the budget amount issued for each project and the final expenditure amount, and analyze the reasons for the difference from the cost structure level;

[0023] The project cost variance analysis module is used to compare the variance between the actual and budgeted costs and analyze the causes of the variance;

[0024] The project income structure analysis module is used to analyze the different business incomes of each unit. The unit scope of the analysis mainly includes two levels: provincial companies and municipal companies. The business scope includes main business income and other business income.

[0025] The project income difference analysis module is used to analyze the difference between the budget amount and the actual income of each unit's business scope. The unit scope of the analysis includes two levels: provincial companies and municipal companies. The business scope includes main business income and other business income.

[0026] The financial indicator analysis module is used to evaluate the company's economic health and operating performance by quantitatively analyzing the company's financial statements and other financial information;

[0027] The trend analysis module is used to analyze the trend changes of all indicators at the level of each city company and the level of the operation center under each city company;

[0028] The comparative analysis module is used to analyze the horizontal comparative differences of all indicators at the level of each city company and at the level of the operation centers under each city company.

[0029] Furthermore, the project cost structure analysis module includes a unit scope and business scope unit of project cost structure analysis, a basic operation center level project cost structure analysis unit, and an auxiliary operation center level project cost structure analysis unit.

[0030] Among them, for the unit scope and business scope unit of the project cost structure analysis, the unit scope includes three levels: provincial companies, municipal companies and operation centers. The business scope includes maintenance and repair costs, management building maintenance costs and business expenses. From the cost structure level, the difference between the budget amount and the actual cost of the two types of items, material amount and service amount, is analyzed;

[0031] Among them, for the project cost structure analysis unit at the basic operation center level, including the six major operation centers of transmission operation, substation operation, distribution operation, dispatching operation, comprehensive operation of operation and inspection, and marketing operation, from the perspective of cost structure, the difference between the budget amount and the actual cost of two types of items, namely, the amount of materials and the amount of services, is analyzed;

[0032] Among them, for the project cost structure analysis unit at the auxiliary operation center level, including the four major operation centers of communication operation, material operation, safety and supervision operation, and logistics operation, the difference between the budget amount and the actual cost of two types of items, namely the material amount and the service amount, is analyzed from the cost structure level.

[0033] Further, the project cost difference analysis module includes a unit scope and business scope unit of cost difference analysis, a basic operation center level cost difference analysis unit and an auxiliary operation center level cost difference analysis unit;

[0034] The unit scope and business scope unit of cost variance analysis are used to analyze the difference between the budget amount and actual cost of two types of items, quantity variance and price variance, from the perspective of cost variance.

[0035] The project cost analysis unit at the basic operation center level is used to analyze the difference between the budget amount and the actual cost of two types of projects, quantity difference and price difference, from the cost difference level;

[0036] The project cost analysis unit at the auxiliary operation center level is used to analyze the difference between the budget amount and the actual cost of two types of projects, quantity difference and price difference, from the cost difference level.

[0037] In addition, the present invention can also provide a computer device, including a processor and a memory, the memory is used to store a computer executable program, the processor reads the computer executable program from the memory and executes it, and when the processor executes the computer executable program, it can implement the process-based financial analysis method for power enterprises described in the present invention.

[0038] A computer-readable storage medium is also provided, in which a computer program is stored. When the computer program is executed by a processor, the process-based financial analysis method for electric power enterprises described in the present invention can be implemented.

[0039] Compared with the prior art, the present invention has at least the following beneficial effects: The present invention proposes a process-based financial analysis system and method for electric power enterprises, which imports financial and business data from multiple sources, and automatically calculates and generates project cost analysis indicators, cost difference analysis indicators, financial analysis indicators, comparative analysis indicators, and trend analysis indicators. The business-finance integration value of data is fully explored through accurate, comprehensive, and process-based financial indicators, and is displayed through a big data visualization interface, which is convenient for relevant personnel to view and reduces communication costs. The process-based financial analysis system and method for electric power enterprises provided by the present invention are novel in creativity, have a complete overall process, and have promotion value. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a system architecture diagram of a process-based financial analysis system for power enterprises according to the present invention;

[0041] Figure 2 A method flow chart of a process-based financial analysis method for power enterprises according to the present invention; DETAILED DESCRIPTION

[0042] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, a specific implementation method is summarized below to further illustrate the present invention.

[0043] Embodiment 1

[0044] Please refer to Figure 1 As shown: a process-based financial analysis system for electric power enterprises, the process-based financial analysis system for electric power enterprises includes a multi-source data import module, a project cost structure analysis module, a project cost difference analysis module, a project revenue structure analysis module, a project revenue difference analysis module, a financial indicator analysis module, a trend analysis module and a comparative analysis module;

[0045] Among them, the multi-source data import module is used to import financial data from multiple source paths, automatically classify and enter different financial data; specifically obtain a data table with a set format and re-arrange it; read the CSV data source output from the enterprise financial management or business system through Spark SQL, and store it in the database.

[0046] The project cost structure analysis module includes a unit scope and business scope unit for project cost structure analysis, a basic operation center level project cost structure analysis unit, and an auxiliary operation center level project cost structure analysis unit;

[0047] The project cost structure analysis module includes a unit scope and business scope unit for project cost structure analysis, a basic operation center level project cost structure analysis unit, and an auxiliary operation center level project cost structure analysis unit;

[0048] Among them, for the unit scope and business scope unit of the project cost structure analysis, the unit scope includes three levels: provincial companies, municipal companies and operation centers, and the business scope includes maintenance and repair fees, management building maintenance fees and business fees. From the cost structure level, the difference between the budget amount and the actual cost of the two types of items, namely, the material amount and the service amount, is analyzed; the unit scope and business scope unit of the project cost structure analysis analyzes the difference between the budget amount and the actual cost of the two types of items, namely, the material amount and the service amount, based on the data table by calling a function or a plug-in;

[0049] Among them, for the project cost structure analysis unit at the basic operation center level, including the six major operation centers of power transmission operation, power transformation operation, power distribution operation, dispatching operation, comprehensive operation of operation and inspection, and marketing operation, the difference between the budget amount and the actual cost of the two types of items, namely, the amount of materials and the amount of services, is analyzed from the cost structure level; the project cost structure analysis unit at the basic operation center level analyzes the difference between the budget amount and the actual cost of the two types of items, namely, the amount of materials and the amount of services, by calling a function or a plug-in based on the data table;

[0050] Among them, for the project cost structure analysis unit at the auxiliary operation center level, including the four major operation centers of communication operation, material operation, safety and supervision operation, and logistics operation, the difference between the budget amount and the actual cost of two types of items, namely the material amount and the service amount, is analyzed from the cost structure level.

[0051] The project cost difference analysis module includes a unit scope and business scope unit for cost difference analysis, a basic operation center level cost difference analysis unit, and an auxiliary operation center level cost difference analysis unit;

[0052] Among them, the project income structure analysis module mainly analyzes the units at the provincial company and municipal companies, and the business scope includes the main business income and other business income;

[0053] The project income difference analysis module is used to analyze the different business incomes of each unit. The unit scope of the analysis mainly includes two levels: provincial companies and municipal companies. The business scope includes main business income and other business income.

[0054] The financial indicator analysis module is used to evaluate the company's economic health and operating performance by quantitatively analyzing the company's financial statements and other financial information;

[0055] The trend analysis module is used to analyze the trend changes of all indicators at the level of each city company and the level of the operation center under each city company;

[0056] The comparative analysis module is used to analyze the horizontal comparative differences of all indicators at the level of each city company and at the level of the operation centers under each city company.

[0057] The project cost difference analysis module includes a unit scope and business scope unit for cost difference analysis, a basic operation center level cost difference analysis unit, and an auxiliary operation center level cost difference analysis unit;

[0058] The unit scope and business scope unit of cost variance analysis are used to analyze the difference between the budget amount and actual cost of two types of items, quantity variance and price variance, from the perspective of cost variance.

[0059] The project cost analysis unit at the basic operation center level is used to analyze the difference between the budget amount and the actual cost of two types of projects, quantity difference and price difference, from the cost difference level;

[0060] The project cost analysis unit at the auxiliary operation center level is used to analyze the difference between the budget amount and the actual cost of two types of projects, quantity difference and price difference, from the cost difference level.

[0061] In the example of the present invention, the process-based financial analysis system of the power enterprise can be applied to the PC side and can also be applied to the mobile terminal; the mobile terminal refers to a smart device that can be used on the move, including a mobile phone, a notebook, and a tablet computer. The process-based financial analysis system of the power enterprise of the example of the present invention includes a multi-source data import module, a project revenue structure analysis module, a project revenue difference analysis module, a financial indicator analysis module, a trend analysis module, and a comparative analysis module. Based on the multivariate data import module, users can import multiple data source formats, and the module can realize automatic data arrangement and entry. Based on the project cost structure analysis module, users can directly view the data of different indicator items of all business units and display them in multiple line charts. Based on the project cost difference analysis module, users can directly view the differences between different indicator items of all business units. Based on the project revenue structure analysis module, users can query the actual amount, budget amount, and the difference between the actual amount and the budget amount of different indicators by entering the unit name. Through the project revenue difference analysis module, users can view the differences between different indicator items of all companies. Based on the financial indicator analysis module, users can view the pie charts of liquidity, debt repayment ability, and profitability of all companies. Based on the trend analysis module, users can enter different business scope names to query different indicator data under cost and expense category, income category, financial analysis category, and financial analysis continuation table category. Based on the comparison analysis module, users can enter indicator categories and business unit categories to query indicator comparisons of different business units.

[0062] When calculating project cost-related indicators, project revenue-related indicators, and financial indicators, you can use functions in Python or Excel for calculation.

[0063] Embodiment 2:

[0064] Please refer to Figure 2 As shown: A process-based financial analysis system method for power enterprises includes the following steps:

[0065] Step 1: Import, clean and organize enterprise business and financial data through the multi-source data import module, read the CSV data source output from the enterprise financial management or business system through SparkSQL, and store it in the database.

[0066] Step 2, write INSERT and SELECT statements in SQL to calculate project cost-related indicators including the material amount, service amount, quantity difference, and price difference of maintenance and repair fees, management building maintenance fees, safety fees, and business fees.

[0067] Step 3, write INSERT and SELECT statements in SQL to calculate the project revenue-related indicators including electricity sales revenue, rural power grid loan repayment fund return revenue, power transmission revenue, high-reliability power supply revenue, self-owned power plant standby capacity revenue, entrusted operation and maintenance revenue, renewable energy electricity price surcharge revenue, and quantity differences and price differences of other business revenues.

[0068] Step 4, write INSERT and SELECT statements in SQL to calculate financial indicators such as profitability, debt-paying ability, operating efficiency, and liquidity.

[0069] Step 5, conduct vertical trend analysis on cost and expense indicators, revenue and profit indicators, and other financial analysis indicators according to provincial companies, power supply companies, and operation centers, and draw trend charts and change trend lines.

[0070] Step 6, compare the cost and expense indicators, revenue and profit indicators, and other financial analysis indicators horizontally according to the city companies, and compare the cost and expense indicators horizontally according to the subordinate operation centers, and analyze the differences between the power supply companies and operation centers.

[0071] In the example of the present invention, first obtain multi-source financial business data, and import data through CSV files, etc. After the generated preliminary verification information is approved, you can start calculating the cost structure-related maintenance and operation fees, management housing maintenance fees, safety fees, business fees and other indicators. After calculating the relevant indicators of this structure, calculate the difference between the budget amount and the actual amount of maintenance and operation fees, management housing maintenance fees, safety fees, and business fees. Start calculating the relevant indicators of income analysis, including electricity sales income, rural power grid loan repayment fund return income, transmission income, high reliability power supply income, self-provided power plant standby capacity income, entrusted operation and maintenance income, renewable energy electricity price additional income, etc. After that, start calculating financial indicators, including profitability, debt repayment ability, operating efficiency, and liquidity. After that, start calculating some indicators of comparative analysis and trend analysis, including maintenance and operation fees, management housing maintenance fees, safety fees, business fees, net main business income, gross profit margin, and net profit margin.

[0072] To sum up, the present invention introduces an automated process indicator analysis and calculation mode through big data analysis technology. The indicators cover all aspects and support the import of multi-source heterogeneous data. It is convenient and fast, and can greatly reduce the communication costs of financial personnel, improve work efficiency, realize business and financial integration, and meet the requirements of lean financial management.

[0073] The present invention can also provide a computer device, including a processor and a memory, the memory is used to store a computer executable program, the processor reads the computer executable program from the memory and executes it, and when the processor executes the computer executable program, it can implement the process-based financial analysis method for power enterprises described in the present invention.

[0074] On the other hand, the present invention provides a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, the process-based financial analysis method for electric power enterprises described in the present invention can be implemented.

[0075] The computer device may be a laptop computer, a desktop computer or a workstation.

[0076] The processor may be a central processing unit (CPU), a digital signal processor (DSP), an application specific integrated circuit (ASIC) or an off-the-shelf programmable gate array (FPGA). The memory described in the present invention may be an internal storage unit of a laptop computer, a desktop computer or a workstation, such as a memory or a hard disk; an external storage unit may also be used, such as a mobile hard disk or a flash memory card.

[0077] Computer-readable storage media may include computer storage media and communication media. Computer storage media include volatile and non-volatile, removable and non-removable media implemented by any method or technology for storing information such as computer-readable instructions, data structures, program modules or other data. Computer-readable storage media may include: read-only memory (ROM), random access memory (RAM), solid-state drive (SSD) or optical disk, etc. Among them, random access memory may include resistance random access memory (ReRAM) and dynamic random access memory (DRAM).

[0078] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A process-based financial analysis method for electric power enterprises, characterized in that: The following steps are involved: S1, first imports, cleans and organizes enterprise business and financial data through the multi-source data import module; S2, calculate project cost related indicators: project cost related indicators include maintenance and repair fees, management housing maintenance fees, safety fees, business fees, material amounts, service amounts, quantity differences and price differences; S3, calculate project revenue related indicators, including electricity sales revenue, rural power grid loan repayment fund return revenue, power transmission revenue, high reliability power supply revenue, self-owned power plant standby capacity revenue, entrusted operation and maintenance revenue, and renewable energy electricity price additional revenue quantity difference and price difference; S4, calculate financial indicators, including profitability, debt-paying ability, operating efficiency, and liquidity; S5, conduct longitudinal trend analysis on cost and expense indicators, revenue and profit indicators, and financial analysis indicators according to provincial companies, power supply companies, and operation centers to obtain trend data; S6, compare the project cost-related indicators, project revenue-related indicators, and other financial analysis indicators horizontally according to the municipal companies, compare the cost and expense indicators horizontally according to the subordinate operation centers, and analyze the differences between the power supply companies and operation centers.

2. The process-based financial analysis method for electric power enterprises according to claim 1 is characterized in that: In S1, SparkSQL is used to read the CSV data source output from the enterprise financial management or business system and store it in the database.

3. The process-based financial analysis method for electric power enterprises according to claim 1 is characterized in that: By writing INSERT and SELECT statements in SQL, calculate project cost-related indicators, project revenue-related indicators, and financial indicators.

4. The process-based financial analysis method for electric power enterprises according to claim 1 is characterized in that: The multi-source data includes financial data and business data of the electric power enterprise.

5. The process-based financial analysis method for electric power enterprises according to claim 1 is characterized in that: The trend data is visualized to obtain a trend graph and a changing trend line.

6. A process-based financial analysis system for electric power enterprises, characterized in that: It includes multi-source data import module, project cost structure analysis module, project cost difference analysis module, project income structure analysis module, project income difference analysis module, financial indicator analysis module, trend analysis module and comparative analysis module: The multi-source data import module is used to import financial data from multiple sources and automatically classify and enter different financial data; The project cost structure analysis module is used to analyze the difference between the budget amount issued for each project and the final expenditure amount, and analyze the reasons for the difference from the cost structure level; The project cost variance analysis module is used to compare the variance between the actual and budgeted costs and analyze the causes of the variance; The project income structure analysis module is used to analyze the different business incomes of each unit. The unit scope of the analysis mainly includes two levels: provincial companies and municipal companies. The business scope includes main business income and other business income. The project income difference analysis module is used to analyze the difference between the budget amount and the actual income of each unit's business scope. The unit scope of the analysis includes two levels: provincial companies and municipal companies. The business scope includes main business income and other business income. The financial indicator analysis module is used to evaluate the company's economic health and operating performance by quantitatively analyzing the company's financial statements and other financial information; The trend analysis module is used to analyze the trend changes of all indicators at the level of each city company and the level of the operation center under each city company; The comparative analysis module is used to analyze the horizontal comparative differences of all indicators at the level of each city company and at the level of the operation centers under each city company.

7. The process-based financial analysis system for electric power enterprises according to claim 6 is characterized in that: The project cost structure analysis module includes a unit scope and business scope unit for project cost structure analysis, a basic operation center level project cost structure analysis unit, and an auxiliary operation center level project cost structure analysis unit; Among them, for the unit scope and business scope unit of the project cost structure analysis, the unit scope includes three levels: provincial companies, municipal companies and operation centers. The business scope includes maintenance and repair costs, management building maintenance costs and business expenses. From the cost structure level, the difference between the budget amount and the actual cost of the two types of items, material amount and service amount, is analyzed; Among them, for the project cost structure analysis unit at the basic operation center level, including the six major operation centers of transmission operation, substation operation, distribution operation, dispatching operation, comprehensive operation of operation and inspection, and marketing operation, from the perspective of cost structure, the difference between the budget amount and the actual cost of two types of items, namely, the amount of materials and the amount of services, is analyzed; Among them, for the project cost structure analysis unit at the auxiliary operation center level, including the four major operation centers of communication operation, material operation, safety and supervision operation, and logistics operation, the difference between the budget amount and the actual cost of two types of items, namely the material amount and the service amount, is analyzed from the cost structure level.

8. The process-based financial analysis system for electric power enterprises according to claim 6 is characterized in that: The project cost difference analysis module includes a unit scope and business scope unit for cost difference analysis, a basic operation center level cost difference analysis unit, and an auxiliary operation center level cost difference analysis unit; The unit scope and business scope unit of cost variance analysis are used to analyze the difference between the budget amount and actual cost of two types of items, quantity variance and price variance, from the perspective of cost variance. The project cost analysis unit at the basic operation center level is used to analyze the difference between the budget amount and the actual cost of two types of projects, quantity difference and price difference, from the cost difference level; The project cost analysis unit at the auxiliary operation center level is used to analyze the difference between the budget amount and the actual cost of two types of projects, quantity difference and price difference, from the cost difference level.

9. A computer device, characterized in that: The invention comprises a processor and a memory, wherein the memory is used to store a computer executable program, the processor reads the computer executable program from the memory and executes it, and when the processor executes the computer executable program, the process-based financial analysis method for electric power enterprises as described in any one of claims 1 to 6 can be implemented.

10. A computer-readable storage medium, characterized in that: A computer program is stored in the computer-readable storage medium. When the computer program is executed by a processor, the process-based financial analysis method for a power enterprise as claimed in any one of claims 1 to 6 can be implemented.

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