A data processing method, device and equipment for power grid index report

Abstract

The present invention discloses a data processing method, device and equipment for power grid indicator reports, the method comprising: collecting operation reports of power grid services, and obtaining calculation rules between indicators and indicators in each power grid service. According to preset division rules, all indicators in the operation report are divided into composite indicators, derived indicators and atomic indicators. According to different application scenarios of the business, business models corresponding to different business domains are established. According to the business rules and business application scope corresponding to each business domain, combined with the calculation rules between the indicators and indicators, composite indicators, derived indicators and atomic indicators are associated with each business domain model respectively. In response to the user's operation on the indicators of the business domain to be processed, the indicator data corresponding to the indicator operation is output. The method of the present invention can solve the problem that different business domains cannot communicate smoothly due to the lack of unified data processing of indicator reports in the original power grid indicator management system.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and in particular to a method, device and equipment for processing data of a power grid indicator report. Background Art

[0002] In the operation of power grid business, a large amount of data will be gathered, forming a management model of different business domains led by business departments. However, due to the different construction ideas and technical frameworks of different business systems, the communication and work efficiency between different business systems are not high. Therefore, it is necessary to establish a unified power grid indicator management system.

[0003] The current method to improve communication between different business departments is to build a scenario-based indicator management system. By scenario-based management of different business domains, clarifying the management of result-oriented indicators and process-oriented indicators, solutions and core causes of problems are found, and a comprehensive analysis of the business is conducted by combining multiple different indicators and dimensions.

[0004] However, the current scenario-based indicator management system can only target a specific business and cannot develop and change with the development of this business. When multiple scenario-based indicator management systems are formed, there is a lack of overall management of indicators, resulting in low data management between different scenarios. In addition, the different interface standards of the current power grid indicator management system information system lead to the inability to communicate smoothly between different business systems. Summary of the invention

[0005] The present invention provides a data processing method, device and equipment for power grid index reports, so as to solve the problem that different business domains cannot communicate smoothly due to the lack of unified data processing of index reports in the original power grid index management system.

[0006] In a first aspect, the present application provides a data processing method for a power grid indicator report, comprising:

[0007] Collect operation reports of all power grid businesses and obtain calculation rules between indicators in each power grid business;

[0008] According to the preset division rules, all indicators in the operation report are divided into composite indicators, derived indicators and atomic indicators;

[0009] Establish business models corresponding to different business domains according to different business application scenarios;

[0010] According to the business rules and business applicable scope corresponding to each business domain, combined with the calculation rules between the indicators, each business domain model is associated with a composite indicator, a derived indicator and an atomic indicator;

[0011] In response to the user's indicator operation on the business domain to be processed, indicator data corresponding to the indicator operation is output according to the first business domain model corresponding to the business domain to be processed and the indicator association relationship corresponding to the first business domain model.

[0012] In this way, the collected indicators are broken down into atomic indicators, derived indicators, and composite indicators, and the indicator types are standardized. Business models corresponding to different business domains are established according to business scenarios. Combined with each business domain model, the association between each business domain and indicator is achieved, solving the problem of inconsistent data standards between the original business systems, which leads to the inability to communicate data between different business domains.

[0013] Further collect the operation report of the power grid business and obtain the calculation rules between the indicators in each power grid business:

[0014] Collect daily work reports from various business areas;

[0015] The business areas include: production area, marketing area, asset area and comprehensive area. According to the content filled in the report, all indicators in the report are obtained. According to the meaning of the indicators, the calculation rules between indicators are obtained.

[0016] In this way, reports from various business areas of the power grid business are collected, indicators in the reports are obtained through the collected reports, and the calculation rules between the obtained indicators are combined to facilitate the subsequent indicator grouping and data entry.

[0017] Further, according to the preset division rules, all indicators in the report are divided into composite indicators, derived indicators and atomic indicators, specifically:

[0018] Traverse all the collected indicators;

[0019] When the indicator to be determined contains a preset word, it is determined that the indicator to be determined is a composite indicator;

[0020] At the same time, according to the management system, some indicators are classified as composite indicators;

[0021] If the indicator to be determined does not contain the preset word, but there is a preset diffraction word or the name of the indicator to be determined can be found in the calculation formula, then the indicator to be determined is determined to be a derived indicator;

[0022] Otherwise, it is determined that the indicator to be determined is an atomic indicator.

[0023] According to the preset division rules, the indicators are divided into composite indicators, derivative indicators and atomic indicators, forming an indicator pool and report pool applicable to the entire business domain of the power grid.

[0024] Furthermore, the establishment of business domain models corresponding to different business domains is specifically as follows:

[0025] The business domain is divided according to the business areas of the power grid company's enterprise management system and indicator sources.

[0026] Based on the division of business domains by business area, the business domain model is established in the data service center, and the business operation of each business domain model is supported by the indicator data in the data service center.

[0027] In this way, the business domain is divided, the business domain model is established, the business domain model is established on the data service middle platform, and the business domain model is incorporated into the data service middle platform for unified management, so as to solve problems such as data model dispersion, isolated data storage, and difficult data model management caused by inconsistent data field definitions.

[0028] Among them, the data service middle platform includes: data basic layer, data detail layer, data aggregation layer and data application layer.

[0029] The data base layer is used to obtain data in enterprise management and power grid business and store the data in a unified manner;

[0030] The data detail layer is used to pre-process the data in the data base layer; the data fact table of the atomic indicator is solidified in the data detail layer;

[0031] The data aggregation layer is used to aggregate the derivation rules and compound formulas between indicators in the data foundation layer, provide the data application layer with the data calculation results, and solidify the data fact table of the derived indicators to the data aggregation layer;

[0032] The data application layer is used to provide data for business operations and display data to users.

[0033] In this way, the hierarchical structure of the data service platform and the relationship between each layer and the indicator data are clarified. A data service platform that is interrelated with the indicators is established.

[0034] Through the user's operation on the indicators of the business domain to be processed, the indicators are decomposed, combined and calculated; and the calculated indicator results are presented to the user in the form of reports.

[0035] Furthermore, after outputting the indicator data corresponding to the indicator operation, the method further includes:

[0036] According to the output indicator data, the indicators in the indicator data are combined and displayed, electronic report data suitable for power grid business operations are generated, and the report data is displayed to users.

[0037] Furthermore, the composite indicators, derived indicators and atomic indicators associated with each business domain model are as follows:

[0038] According to the enterprise management system of the power grid company, the corresponding business rules and business application scope, each business domain model is associated with the corresponding atomic indicators;

[0039] Forming corresponding associated derivative indicators by adding derivative words to the corresponding atomic indicators;

[0040] The corresponding associated composite indicators are calculated based on the calculation rules between multiple derived indicators or atomic indicators.

[0041] In this way, the relationship between the corresponding business domain model and the indicator, as well as the calculation relationship between the corresponding atomic indicator, derived indicator and composite indicator are clearly defined. Derived indicators or composite indicators can be obtained through atomic indicators, and then the business domain model and the indicator are related to each other.

[0042] In a second aspect, the present application provides a processing device for a power grid indicator report, including: an indicator collection module, an indicator classification module, a model building module, an indicator association module and a data response module, specifically:

[0043] The indicator collection module is used to collect reports and obtain calculation rules between indicators in power grid business;

[0044] The indicator classification module is used to classify all indicators in the report into composite indicators, derived indicators and atomic indicators according to preset classification rules;

[0045] The model building module is used to establish business models corresponding to different business domains according to different application scenarios of the business;

[0046] The indicator association module is used to associate composite indicators, derived indicators and atomic indicators with each business domain model according to the business rules and business application scope corresponding to each business domain, combined with the calculation rules between the indicators;

[0047] The data response module is used to respond to the user's indicator operation on the business domain to be processed, and output the indicator data corresponding to the indicator operation according to the first business domain model corresponding to the business domain to be processed and the indicator association relationship corresponding to the first business domain model.

[0048] In a third aspect, the present application also provides a terminal device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the data processing method for the power grid indicator report described in any one of the above items when executing the computer program. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a flow chart of an embodiment of a data processing method for a power grid indicator report provided by the present invention;

[0050] Figure 2 It is a module structure diagram of a processing device for a power grid indicator report provided by an embodiment of the present invention;

[0051] Figure 3 It is a structural schematic diagram of a terminal device provided by the present invention;

[0052] Figure 4 This is a schematic diagram of a work report disassembly indicator provided by an embodiment of the present invention;

[0053] Figure 5 This is a schematic diagram of an indicator disassembly process provided by an embodiment of the present invention;

[0054] Figure 6 This is a schematic diagram of an indicator information card provided by an embodiment of the present invention;

[0055] Figure 7 It is a schematic diagram of a partial scenario indicator system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0056] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] Embodiment 1

[0058] Please refer to Figure 1 , a data processing method for a power grid indicator report provided by an embodiment of the present invention includes steps S1 to S5, each step is specifically as follows:

[0059] Step S1: Collect the operation reports of the power grid business and obtain the calculation rules between the indicators in each power grid business.

[0060] As a preferred solution, the operation reports of all power grid services are collected to obtain the calculation rules between the indicators in each power grid service, specifically:

[0061] Collect daily work reports from various business areas.

[0062] Among them, the business areas include: production area, marketing area, asset area and comprehensive area.

[0063] Get all the indicators in the report according to the content filled in the report.

[0064] According to the meaning of the indicators, the calculation rules between the indicators are obtained.

[0065] In this embodiment, the operation reports collected for power grid business mainly include daily work reports in business areas such as production, marketing, finance, main grid substation, main grid transmission, and customer service.

[0066] refer to Figure 4 A schematic diagram of work report disassembly indicators.

[0067] According to the content that needs to be filled in the daily report, sort out the indicator dimensions and indicator-related information included in the daily report. Among them, the indicator dimensions include public dimensions and professional dimensions, and the indicator information includes time, business classification, user object, business department, etc.

[0068] The acquired indicator information is converted from paper data into electronic data through optical character recognition technology (OCR technology).

[0069] Step S2: According to preset division rules, all indicators in the operation report are divided into composite indicators, derived indicators and atomic indicators.

[0070] As a preferred solution, all indicators in the report are divided into composite indicators, derived indicators and atomic indicators according to the preset division rules, specifically:

[0071] Traverse all the collected indicators;

[0072] When the indicator to be determined contains a preset word, it is determined that the indicator to be determined is a composite indicator;

[0073] At the same time, according to the management system, some indicators are classified as composite indicators;

[0074] If the indicator to be determined does not contain the preset word, but there is a preset diffraction word or the name of the indicator to be determined can be found in the calculation formula, then the indicator to be determined is determined to be a derived indicator;

[0075] Otherwise, it is determined that the indicator to be determined is an atomic indicator.

[0076] In this embodiment, after the above steps, manual screening will be performed to confirm the classification of indicators again. Figure 5 This is a schematic diagram of the indicator disassembly process.

[0077] The preset words include: "rate", "average duration", "proportion", "degree", "index", "score", etc. The derived words include: "temporary", "final assembly", "permanent", "after elimination", "project", etc.

[0078] For example, "electricity bill recovery rate for the year", "average formal acceptance time", "percentage of cumulative completed investment in information technology projects", "third-party customer satisfaction", "three-phase imbalance", "peak summer index", "transmission tower consistency score" and so on are all identified as composite indicators.

[0079] For example, "temporary access capacity", "permanent new installation application capacity", "number of power outages for medium-voltage users after elimination", and "number of completed electronic handover processes for distribution networks in high-voltage business expansion supporting projects" are identified as derivative indicators based on the above rules.

[0080] And the atomic indicators, derived indicators and composite indicators will be broken down to form indicator information cards.

[0081] Reference Figure 6 This is a schematic diagram of an indicator information card.

[0082] Step S3: Establish business models corresponding to different business domains according to different application scenarios of the business.

[0083] As a preferred solution, the establishment of business domain models corresponding to different business domains is specifically as follows:

[0084] Divide the business domain according to the business areas of the power grid company's enterprise management system and indicator sources;

[0085] Based on the division of business domains by business area, the business domain model is established in the data service center, and the business operation of each business domain model is supported by the indicator data in the data service center.

[0086] As a preferred solution, the data service middle platform includes: a data foundation layer, a data detail layer, a data aggregation layer and a data application layer;

[0087] The data base layer is used to obtain data in enterprise management and power grid business and store the data in a unified manner;

[0088] The data detail layer is used to pre-process the data in the data base layer; the data fact table of the atomic indicator is solidified in the data detail layer;

[0089] The data aggregation layer is used to aggregate the derivation rules and compound formulas between indicators in the data foundation layer, provide the data application layer with the data calculation results, and solidify the data fact table of the derived indicators to the data aggregation layer;

[0090] The data application layer is used to provide and display data for services.

[0091] In this embodiment, the data base layer obtains data from the internal management system and business systems of the power grid enterprise by accessing or collecting internal enterprise data, and stores statistics of external application data such as operators and real estate in the data base layer.

[0092] The data detail layer merges the interrelated data in the data base layer and uses the merged data to provide data for other layers. The purpose of the data detail layer is to avoid the upper-layer application from performing data association query operations each time and reduce repeated calculations.

[0093] The data aggregation layer performs pre-aggregation statistics according to specific dimensions and indicator algorithms, and provides calculated result data to upper-level applications. The purpose of the data aggregation layer is to reduce the number of data aggregation statistics and the amount of calculation when calculating indicators, thereby reducing system resource usage while quickly responding to business queries.

[0094] The data application layer is built on the basis of the above-mentioned data foundation layer, data detail layer and data aggregation layer, and can provide data support for users or business models according to different application scenarios.

[0095] Step S4: According to the business rules and business applicable scope corresponding to each business domain, combined with the calculation rules between the indicators, each business domain model is associated with a composite indicator, a derived indicator and an atomic indicator.

[0096] As a preferred solution, the composite indicators, derived indicators and atomic indicators associated with each business domain model are as follows:

[0097] According to the enterprise management system of the power grid company, the corresponding business rules and business application scope, each business domain model is associated with the corresponding atomic indicators;

[0098] Forming corresponding associated derivative indicators by adding derivative words to the corresponding atomic indicators;

[0099] The corresponding associated composite indicators are calculated based on the calculation rules between multiple derived indicators or atomic indicators.

[0100] In this embodiment, based on the calculation relationship among atomic indicators, derived indicators and composite indicators, an “atomic-derivative-composite” indicator system applicable to power grid business is established.

[0101] Reference Figure 7 A schematic diagram of a partial scenario indicator system of an embodiment.

[0102] Step S5: In response to the user's indicator operation on the business domain to be processed, according to the first business domain model corresponding to the business domain to be processed and the indicator association relationship corresponding to the first business domain model, output the indicator data corresponding to the indicator operation.

[0103] As a preferred solution, the responding user's operation on the indicator of the pending business domain includes:

[0104] Through the user's operation on the indicators of the business domain to be processed, the indicators are disassembled, combined, and calculated. The calculated indicator results are presented to the user in the form of reports.

[0105] As a preferred solution, after outputting the indicator data corresponding to the indicator operation, the method further includes:

[0106] According to the output indicator data, the indicators in the indicator data are combined and displayed, report data suitable for power grid business operations are generated, and the report data is displayed to the user.

[0107] In this embodiment, the data in the data service center is called by the Kafka software, and the data is displayed in the indicator report system in a visual form such as a page, wherein the user can complete the corresponding operation of the indicator through the indicator report system. And according to the user's operation, the corresponding result is displayed in the indicator report system through a visual interface.

[0108] The data processing method of the power grid indicator report provided in the embodiment of the present invention obtains all indicators in the operation of the power grid business and classifies the indicators into atomic indicators, derived indicators and composite indicators. At the same time, according to different application scenarios of the business, business domain models corresponding to different business domains are established. The business domain model and the composite indicators, derived indicators and atomic indicators are mutually associated. A power grid indicator management system that supports the entire business domain of the power grid is formed to solve the problem that different business domains cannot communicate smoothly due to the lack of unified data processing of indicator reports in the original power grid indicator management system. And it can respond to users' operations such as querying, changing, combining, calculating, etc. on indicators during business operations.

[0109] Embodiment 2

[0110] Reference Figure 2 , Figure 2 It is a module structure diagram of a processing device for a power grid indicator report provided by an embodiment of the present invention.

[0111] The device includes: an indicator collection module 210, an indicator classification module 220, a model building module 230, an indicator association module 240 and a data response module 250.

[0112] The indicator collection module 210 is used to collect reports and obtain calculation rules between indicators in power grid services;

[0113] The indicator classification module 220 is used to classify all indicators in the report into composite indicators, derived indicators and atomic indicators according to a preset classification rule;

[0114] The model building module 230 is used to establish business models corresponding to different business domains according to different business scenarios;

[0115] The indicator association module 240 is used to associate composite indicators, derived indicators and atomic indicators with each business domain model according to the business rules and business application scope corresponding to each business domain, combined with the calculation rules between the indicators;

[0116] The data response module 250 is used to respond to the user's indicator operation on the pending business domain, and output the indicator data corresponding to the indicator operation according to the first business domain model corresponding to the pending business domain and the indicator association relationship corresponding to the first business domain model.

[0117] The indicator collection module 210 includes a collection module 211 , an indicator identification module 212 and a calculation rule identification module 213 .

[0118] The collection module 211 is used to collect work reports of power grid services.

[0119] The identification indicator module 212 is used to obtain all indicators in the report through the collected work report.

[0120] The calculation rule identification module 213 is used to identify the calculation rules between indicators.

[0121] Furthermore, the indicator classification module 220 also includes a preset word recognition module 221 and a derivative word recognition module 222 .

[0122] The preset word recognition module 221 is used to determine whether there is a preset word in the indicator to be determined.

[0123] The derivative word identification module 222 is used to determine whether there is a derivative word in the indicator to be determined.

[0124] The further indicator association module 240 also includes a data service middle platform module 241, a business domain model module 242 and an indicator system module 243, specifically:

[0125] The data service middle platform 241 is used to use the existing data warehouse to build a data service middle platform storage index.

[0126] The business domain model module 242 is used to construct a corresponding business domain model by scenariosizing the business rules and business processes in the usage scenarios of each business domain according to the application scenarios of each business domain and the indicators required by the business applications in the corresponding scenarios.

[0127] The indicator system module 243 is used to build a relationship tree between indicators according to the calculation rules between indicators, and establish an indicator system applicable to the entire power grid business domain.

[0128] Furthermore, the data response module 250 also includes: an indicator calculation module 251 and an indicator display module 252, which are specifically:

[0129] The indicator calculation module 251 is used to calculate indicators in response to user operations and obtain calculation results between indicators according to user requirements.

[0130] The indicator display module 252 is used to display indicators or other data required by users.

[0131] Embodiment 3

[0132] Reference Figure 3 , Figure 3 A schematic diagram of the structure of a terminal device provided by the present invention. The terminal device comprises a processor 301, a memory 302, and a computer program stored in the memory 302 and configured to be executed by the processor 301, and the processor 301 implements the data processing method of the power grid indicator report described in any of the above embodiments when executing the computer program.

[0133] Preferably, the computer program can be divided into one or more modules / units (such as computer program 1, computer program 2, ...), and the one or more modules / units are stored in the memory 302 and executed by the processor 301 to complete the present invention. The one or more modules / units can be a series of computer program instruction segments that can complete specific functions, and the instruction segments are used to describe the execution process of the computer program in the terminal device.

[0134] The processor 301 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor, or the processor 301 can be any conventional processor. The processor 301 is the control center of the terminal device, and various parts of the terminal device are connected using various interfaces and lines.

[0135] The memory 302 mainly includes a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function, etc., and the data storage area can store related data, etc. In addition, the memory 302 can be a high-speed random access memory, or a non-volatile memory, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, and a flash card (Flash Card), etc., or the memory 302 can also be other volatile solid-state storage devices.

[0136] It should be noted that the above terminal device may include, but is not limited to, a processor and a memory. Those skilled in the art will understand that Figure 3 The structural diagram is only an example of the above-mentioned terminal device and does not constitute a limitation of the above-mentioned terminal device. It may include more or less components than shown in the figure, or combine certain components, or different components.

[0137] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A data processing method for a power grid indicator report, characterized in that: include: Collect operation reports of power grid services and obtain calculation rules between indicators in each power grid service; According to the preset division rules, all indicators in the operation report are divided into composite indicators, derived indicators and atomic indicators; The business domain is divided according to the business domain of the power grid company's enterprise management system and the source of indicators; according to the division of business domains by business domains, the business domain model is established in the data service middle platform, and the business operation of each business domain model is supported by the indicator data in the data service middle platform; wherein, the data service middle platform includes a data foundation layer, a data aggregation layer and a data application layer; the data foundation layer is used to obtain data in enterprise management and power grid business, and store the data in a unified manner; the data aggregation layer is used to aggregate the derivative rules and compound formulas between indicators in the data foundation layer, provide the data application layer with the calculation results of the data, and solidify the data fact table of the derived indicators to the data aggregation layer; the data application layer is used to provide data to business operations and display data to users; According to the business rules and business application scope corresponding to each business domain, combined with the calculation rules between the indicators, the composite indicators, derived indicators and atomic indicators are associated with each business domain model respectively; wherein, the composite indicators, derived indicators and atomic indicators are associated with each business domain model respectively, specifically: according to the enterprise management system of the power grid company, the corresponding business rules and the business application scope, the corresponding atomic indicators are associated with each business domain model; the corresponding associated derivative indicators are formed by adding derivative words to the corresponding atomic indicators; the corresponding associated composite indicators are calculated according to the calculation rules between indicators between multiple derived indicators or atomic indicators; In response to the user's indicator operation on the business domain to be processed, indicator data corresponding to the indicator operation is output according to the first business domain model corresponding to the business domain to be processed and the indicator association relationship corresponding to the first business domain model.

2. The data processing method of a power grid indicator report according to claim 1 is characterized in that: The operation reports of all power grid services are collected to obtain the calculation rules between the indicators in each power grid service, specifically: Collect daily work reports from various business areas; The business areas include: production area, marketing area, asset area and comprehensive area; According to the content filled in the report, obtain all the indicators in the report; According to the meaning of the indicators, the calculation rules between the indicators are obtained.

3. The data processing method of a power grid indicator report according to claim 1 is characterized in that: According to the preset division rules, all indicators in the report are divided into composite indicators, derived indicators and atomic indicators, specifically: Traverse all the collected indicators; When the indicator to be determined contains a preset word, it is determined that the indicator to be determined is a composite indicator; At the same time, according to the management system, some indicators are classified as composite indicators; If the indicator to be determined does not contain the preset word, but there is a preset diffraction word or the name of the indicator to be determined can be found in the calculation formula, then the indicator to be determined is determined to be a derived indicator; Otherwise, it is determined that the indicator to be determined is an atomic indicator.

4. The data processing method of a power grid indicator report according to claim 1 is characterized in that: The data service middle platform also includes: a data detail layer; The data detail layer is used to perform data preprocessing on the data in the data base layer, and solidify the data fact table of the atomic indicator in the data detail layer.

5. The data processing method of a power grid indicator report according to claim 1 is characterized in that: The responding user to the indicator operation of the pending business domain includes: Through the user's operation on the indicators of the business domain to be processed, the indicators are disassembled, combined, and calculated; The calculated indicator results are presented to users in the form of reports.

6. The data processing method of a power grid indicator report according to claim 1 is characterized in that: After outputting the indicator data corresponding to the indicator operation, the method further includes: According to the output indicator data, the indicators in the indicator data are combined and displayed, report data suitable for power grid business operations are generated, and the report data is displayed to the user.

7. A processing device for a power grid indicator report, characterized in that: include: Indicator collection module, indicator classification module, model building module, indicator association module and data response module, specifically: The indicator collection module is used to collect reports and obtain calculation rules between indicators in power grid business; The indicator classification module is used to classify all indicators in the report into composite indicators, derived indicators and atomic indicators according to preset classification rules; The model building module is used to divide the business domain according to the business domain of the power grid company's enterprise management system and the source of indicators; according to the division of business domains by business fields, the business domain model is established in the data service platform, and the business operation of each business domain model is supported by the indicator data in the data service platform; wherein, the data service platform includes a data foundation layer, a data aggregation layer and a data application layer; the data foundation layer is used to obtain data in enterprise management and power grid business, and store the data in a unified manner; the data aggregation layer is used to aggregate the derivative rules and compound formulas between indicators in the data foundation layer, provide the data application layer with the calculation results of the data, and solidify the data fact table of the derived indicators to the data aggregation layer; the data application layer is used to provide data to business operations and display data to users; The indicator association module is used to associate composite indicators, derived indicators and atomic indicators with each business domain model according to the business rules and business applicable scope corresponding to each business domain, combined with the calculation rules between the indicators; wherein, the composite indicators, derived indicators and atomic indicators associated with each business domain model are specifically: according to the enterprise management system of the power grid company, the corresponding business rules and the business applicable scope, each business domain model is associated with the corresponding atomic indicator; by adding derivative words to the corresponding atomic indicator to form a corresponding associated derivative indicator; according to the calculation rules between indicators between multiple derived indicators or atomic indicators, the corresponding associated composite indicators are calculated; The data response module is used to respond to the user's indicator operation on the business domain to be processed, and output the indicator data corresponding to the indicator operation according to the first business domain model corresponding to the business domain to be processed and the indicator association relationship corresponding to the first business domain model.

8. A terminal device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the data processing method for a power grid indicator report as described in any one of claims 1 to 6 when executing the computer program.

Images