CN112488552A - Method and system for constructing service index, electronic equipment and storage medium - Google Patents

Method and system for constructing service index, electronic equipment and storage medium Download PDF

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CN112488552A
CN112488552A CN202011437825.1A CN202011437825A CN112488552A CN 112488552 A CN112488552 A CN 112488552A CN 202011437825 A CN202011437825 A CN 202011437825A CN 112488552 A CN112488552 A CN 112488552A
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service
index
service index
requirement
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CN112488552B (en
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邓亮
王晓旭
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Beijing Mininglamp Software System Co ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract

The present application relates to the field of big data processing, and in particular, to a method and a system for constructing a business index, an electronic device, and a storage medium. The method comprises the following steps: a service requirement acquisition step, wherein an application layer analyzes and outputs a service index requirement to an engine layer according to the requirement; and a service index construction step, namely the engine layer completes construction of a service index corresponding to the service index requirement according to the service index requirement and by combining a preset rule defined by the service index. By constructing an engine layer, providing one-stop index statistical service in a tool form, upwards supporting the statistical requirements of a plurality of service indexes, and only needing to complete corresponding index logic configuration in the engine layer on the basis of the service requirements, an application side can quickly realize index statistical logic, call corresponding interfaces to obtain data results, realize corresponding result display in application, and effectively improve the secondary development and improvement efficiency of index designers.

Description

Method and system for constructing service index, electronic equipment and storage medium
Technical Field
The present application relates to the field of big data processing, and in particular, to a method and a system for constructing a business index, an electronic device, and a storage medium.
Background
The informatization system of a large number of government affair industries accumulates a large amount of data in the aspects of civil service, optimized operators and the like, and each committee and office of the government affair industries needs to carry out statistical analysis on the accumulated historical data. If no index is used for carrying out systematic measurement on the service, the control service cannot be developed, the service quality cannot be measured, and particularly, a plurality of services of a plurality of enterprises are parallel at present, and single data index measurement is likely to be one-sided. Therefore, an index system of the system needs to be established, the service development condition is comprehensively measured, and the ordered growth of the service is promoted.
In practical application, in the process of data analysis and visualization by different committees, the analysis of a certain dimension has knowledge of different indexes, even the same index is inconsistent on a calculation model, and in the analysis and visualization of a certain dimension, in order to enable a user to know different index calculation modes, a designer needs to write a service rule description, and the index designer needs to perform secondary development and improvement according to actual service requirements, so that the workload is large.
At present, no effective solution is provided for the technical problem of improving the efficiency of secondary development and improvement of index designers in the related art.
Disclosure of Invention
The embodiment of the application provides a construction method and system of a business index, electronic equipment and a storage medium, which are used for providing result display of business requirements for top-level application in the government affairs industry so as to at least solve the problem of improving the efficiency of secondary development and improvement of index designers in the related art.
In a first aspect, an embodiment of the present application provides a method for constructing a service index, including:
a service requirement acquisition step, wherein an application layer analyzes and outputs a service index requirement to an engine layer according to the requirement;
and a service index construction step, wherein the engine layer completes construction of a service index corresponding to the service index requirement according to the service index requirement and in combination with a preset rule defined by the service index.
In some embodiments, the service requirement obtaining step specifically includes:
a resource acquisition step, wherein the application layer acquires and outputs data resources required by meeting the requirements by adopting a voice recognition technology according to the requirements of performance assessment;
and a requirement forming step, namely retrieving the data resource from a database, converting the requirement into the corresponding service index requirement according to the retrieved data resource and sending the service index requirement to the engine layer.
In some embodiments, the service index constructing step specifically includes:
a rule making step, namely presetting a rule defined by the service index in the engine layer;
a naming construction step, namely judging whether the service index requirements accord with the rules or not through a rule matching technology, finishing naming of the service indexes when the service index requirements accord with the rules, and finishing naming of the service indexes according to corresponding prompts when the service index requirements do not accord with the rules;
and a rule construction step, namely performing secondary voice analysis on the service index requirement according to the data resource and outputting the service index calculation rule.
In some embodiments, the service index constructing step further includes the following steps:
the method comprises the steps of data acquisition, wherein the engine layer receives and configures parameters according to a data source of a data source layer, and synchronizes metadata information of the data source;
and an index obtaining step, wherein the engine layer performs index calculation on the data source according to the service index calculation rule and outputs a calculation result to the application layer.
In a second aspect, an embodiment of the present application provides a system for constructing a service index, including:
the application layer analyzes and outputs the service index requirement to an engine layer according to the requirement;
the engine layer completes construction of a business index corresponding to the business index requirement according to the business index requirement and by combining a preset rule defined by the business index;
in some of these embodiments, the application layer comprises:
the resource acquisition module is used for acquiring and outputting data resources required by meeting the performance assessment requirements by adopting a voice recognition technology according to the performance assessment requirements;
and the requirement forming module is used for searching the data resources in a database, converting the requirements into the corresponding service index requirements according to the searched data resources and transmitting the service index requirements to the engine layer.
In some of these embodiments, the engine layer comprises:
the rule making module is used for presetting the rules defined by the service indexes in the engine layer;
the naming construction module judges whether the service index requirements accord with the rules or not through a rule matching technology, finishes naming of the service indexes when the service index requirements accord with the rules, and finishes naming of the service indexes according to corresponding prompts when the service index requirements do not accord with the rules;
and the rule construction module is used for carrying out secondary voice analysis on the service index requirements according to the data resources and outputting the service index calculation rule.
In some of these embodiments, further comprising a data source layer that outputs a data source to the engine layer,
the engine layer carries out parameter configuration corresponding to the data source and synchronizes metadata information of the data source;
and the engine layer performs index calculation on the data source according to the service index calculation rule and outputs a calculation result to the application layer.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor, when executing the computer program, implements the method for constructing a business index according to the first aspect.
In a fourth aspect, the present application provides a storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the method for constructing a business index according to the first aspect.
Compared with the related art, the method, the system, the electronic device and the storage medium for constructing the service indexes provided by the embodiment of the application provide a one-stop index statistical service in a tool form by constructing an engine layer between the data sources and the application, the data of various data sources are butted downwards at one time, the statistical requirements of a plurality of service indexes are supported upwards, the application side only needs to complete corresponding index logic configuration in the engine layer based on the service requirements, the index statistical logic can be quickly realized, the corresponding interfaces are called to obtain data results, and the corresponding result display is realized in the application. The invention also has the advantages of low implementation cost, strong feasibility, low time complexity and strong generalization capability.
The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below to provide a more thorough understanding of the application.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a flow chart of a method for constructing a business indicator according to an embodiment of the application;
FIG. 2 is a flowchart of a business requirement acquisition step according to an embodiment of the present application;
FIG. 3 is a flowchart of a business index construction step according to an embodiment of the present application;
FIG. 4 is a flowchart illustrating subsequent operations of a business indicator construction step according to an embodiment of the present application;
FIG. 5 is a flow chart of a method of constructing a business indicator according to a preferred embodiment of the present application;
FIG. 6 is a block diagram of a system for constructing a business indicator according to an embodiment of the present application;
FIG. 7 is a block diagram of a preferred architecture of a system for constructing a business indicator according to an embodiment of the present application;
fig. 8 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application.
Description of the drawings:
1. an application layer; 2. An engine layer; 11. A resource acquisition module; 12. A demand formation module;
21. a rule making module; 22. A naming construction module; 23. A rule construction module;
3. a data source layer; 81. A processor; 82. A memory; 83. A communication interface;
80. a bus.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments provided in the present application without any inventive step are within the scope of protection of the present application.
It is obvious that the drawings in the following description are only examples or embodiments of the present application, and that it is also possible for a person skilled in the art to apply the present application to other similar contexts on the basis of these drawings without inventive effort. Moreover, it should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of ordinary skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict.
Unless defined otherwise, technical or scientific terms referred to herein shall have the ordinary meaning as understood by those of ordinary skill in the art to which this application belongs. Reference to "a," "an," "the," and similar words throughout this application are not to be construed as limiting in number, and may refer to the singular or the plural. The present application is directed to the use of the terms "including," "comprising," "having," and any variations thereof, which are intended to cover non-exclusive inclusions; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to the listed steps or elements, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. Reference to "connected," "coupled," and the like in this application is not intended to be limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The term "plurality" as referred to herein means two or more. "and/or" describes an association relationship of associated objects, meaning that three relationships may exist, for example, "A and/or B" may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. Reference herein to the terms "first," "second," "third," and the like, are merely to distinguish similar objects and do not denote a particular ordering for the objects.
The method, the system, the equipment or the storage medium can be used in the government affairs industry, such as performance assessment data of industry analysis, and can also be used in the industrial field and the like; the system involved may include an application layer, an engine layer, and a data source layer. The methods, systems, devices, or storage media described herein may be integrated with or relatively independent of the systems described above. In some embodiments, the data source may also be obtained from a database instead of directly from the data source layer, so as to implement the method, system, device or storage medium referred to in the present application.
The embodiments of the present application will be described below by taking performance assessment data of industry analysis as an example.
The performance assessment data comprises, but is not limited to, total land industry output values of industrial blocks and units, land tax revenue of industrial blocks and units, land business income of industrial blocks and units, unit land investment intensity of newly added industrial land, early warning project proportion, red early warning project proportion, quantity of industrial block stop project land, district (county) industry added value, and county economic operation is comprehensively measured from multiple angles.
The embodiment provides a method for constructing a service index. Fig. 1 is a flowchart of a method for constructing a service index according to an embodiment of the present application, and as shown in fig. 1, the flowchart includes the following steps:
a service requirement obtaining step S1, where an application layer analyzes and outputs a service index requirement to an engine layer according to the requirement;
and a service index construction step S2, wherein the engine layer completes construction of a service index corresponding to the service index requirement according to the service index requirement and in combination with a preset rule defined by the service index.
Through the steps, the engine layer is arranged, one-stop index statistical service is provided in a tool mode, statistical requirements of a plurality of service indexes are supported upwards, the application side only needs to complete corresponding index logic configuration in the engine layer based on the service requirements, index statistical logic can be rapidly achieved, corresponding interfaces are called to obtain data results, and corresponding result display is achieved in application. Different service indexes can be constructed by modifying the service index definition and the rule, and the secondary development and improvement efficiency of index designers is improved.
Fig. 2 is a flowchart of a service requirement obtaining step according to an embodiment of the present application, and as shown in fig. 2, in some embodiments, the service requirement obtaining step S1 specifically includes:
a resource obtaining step S11, wherein the application layer collects and adopts a voice recognition technology to output data resources required by meeting the requirements according to the requirements of performance assessment;
a requirement forming step S12, retrieving data resources from a database, converting the requirements into corresponding service index requirements according to the retrieved data resources, and sending the service index requirements to the engine layer.
In practical application, in the government affairs industry, firstly, the requirement of performance assessment is input; secondly, identifying the requirements through a semantic identification technology, and identifying data resources required by the requirements; thirdly, searching the data resources through the database, and forming a service index for the requirement that the data resources can support; and finally, the application layer issues the service indexes to the engine layer.
Fig. 3 is a flowchart of a service index constructing step according to an embodiment of the present application, and as shown in fig. 3, in some embodiments, the service index constructing step S2 specifically includes:
a rule formulation step S21, presetting a rule defined by the service index in an engine layer;
a naming construction step S22, judging whether the service index requirement accords with the rule through a rule matching technology, finishing the naming of the service index when the service index requirement accords with the rule, and finishing the naming of the service index according to the corresponding prompt when the service index requirement does not accord with the rule;
and a rule construction step S23, carrying out secondary voice analysis on the service index requirement according to the data resource, and outputting a service index calculation rule.
The rules include, but are not limited to, specifications and standards defined by the business metrics. The definition of the service index comprises the naming of the index, the calculation rule of the index and the like,
in practical application, firstly, inputting the specifications and standards defined by service indexes; secondly, judging whether the naming of the service index definition is met or not through rule matching according to the service index requirements mentioned in the service requirement acquisition step, finishing the naming of the index if the naming of the index is met, and manually confirming by adopting prompts such as recommendation or automatic error correction if the naming of the index is not met to finish the naming of the index; thirdly, acquiring the data resources analyzed in the step according to the business requirements, then carrying out secondary semantic analysis on the index requirements, recommending a rule required by index calculation, and finishing the formulation of the index calculation rule after manual confirmation; and finally, completing the definition of the index.
The embodiment provides a method for constructing a service index. Fig. 4 is a flowchart of a subsequent operation of the service index constructing step according to the embodiment of the present application, and as shown in fig. 4, the process includes the following steps:
a data acquisition step S3, in which the engine layer receives and configures parameters according to a data source of a data source layer, and synchronizes metadata information of the data source;
and an index obtaining step S4, wherein the engine layer performs index calculation on the data source according to the service index calculation rule and outputs the calculation result to the application layer.
Through the steps, interaction among the application layer, the engine layer and the data source layer is achieved, index statistical logic is achieved rapidly, corresponding interfaces are called to obtain data results, and corresponding result display is achieved in the application.
The embodiments of the present application are described and illustrated below by means of preferred embodiments.
Fig. 5 is a flowchart of a method for constructing a service index according to a preferred embodiment of the present application.
S101, the application layer puts forward service index requirements according to the analysis requirements of each application.
S201, through service index management and definition, the service index is customized according to the service index requirement, including the naming of the service index, the calculation rule of the service index and the like, and the definition of the service index is completed.
S301, managing the data source required by the service index calculation through the access and management of the data source, completing the access parameter configuration of the data source, and synchronizing the metadata information of the data source.
S401, performing index calculation on the data of the data source configured in the step 3 according to the defined service index through the index calculation capability of the engine layer.
And S501, after the index calculation is finished, generating an index statistical result in an API mode and generating a calling interface document of the API.
S601, analyzing application of the application layer, obtaining the index statistical result by calling API, and displaying the index statistical result on the application.
It should be noted that the steps illustrated in the above-described flow diagrams or in the flow diagrams of the figures may be performed in a computer system, such as a set of computer-executable instructions, and that, although a logical order is illustrated in the flow diagrams, in some cases, the steps illustrated or described may be performed in an order different than here.
The embodiment also provides a system for constructing a service index, which is used to implement the foregoing embodiments and preferred embodiments, and the description of the system that has been already made is omitted. As used hereinafter, the terms "module," "unit," "subunit," and the like may implement a combination of software and/or hardware for a predetermined function. While the system described in the embodiments below is preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.
Fig. 6 is a block diagram of a structure of a system for constructing a service index according to an embodiment of the present application, and as shown in fig. 6, the system includes:
the application layer 1 analyzes and outputs the service index requirement to an engine layer 2 according to the requirement;
and the engine layer 2 combines preset service index management and service index definition according to the service index requirement, and completes construction of a service index corresponding to the service index requirement.
In some of these embodiments, application layer 1 comprises:
the resource acquisition module 11 is used for acquiring and outputting data resources required by meeting the requirements by adopting a voice recognition technology according to the requirements of performance assessment;
the requirement forming module 12 retrieves data resources from a database, converts the requirements into corresponding service index requirements according to the retrieved data resources, and sends the service index requirements to the engine layer 2.
In some of these embodiments, engine layer 2 includes:
a rule making module 21, which presets service index definition and service index management in the engine layer 2;
the naming construction module 22 judges whether the service index requirement accords with the service index definition through a rule matching technology, finishes naming of the service index when the service index requirement accords with the service index definition, and finishes naming of the service index according to the corresponding prompt when the service index requirement does not accord with the service index definition;
and the rule construction module 23 is used for performing secondary voice analysis on the service index requirements according to the data resources and outputting a service index calculation rule.
Fig. 7 is a block diagram of a preferred structure of a system for constructing a business index according to an embodiment of the present application, as shown in fig. 7, the system includes all the modules shown in fig. 6, and further includes a data source layer 3, the data source layer 3 outputs a data source to an engine layer 2,
the engine layer 2 performs parameter configuration corresponding to the data source and synchronizes metadata information of the data source;
and the engine layer 2 performs index calculation on the data source according to the service index calculation rule and outputs the calculation result to the application layer 1.
The above modules may be functional modules or program modules, and may be implemented by software or hardware. For a module implemented by hardware, the modules may be located in the same processor; or the modules can be respectively positioned in different processors in any combination.
In addition, the method for constructing the service index in the embodiment of the present application described in conjunction with fig. 1 may be implemented by an electronic device. Fig. 8 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application.
The electronic device may include a processor 81 and a memory 82 storing computer program instructions.
Specifically, the processor 81 may include a Central Processing Unit (CPU), or A Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.
Memory 82 may include, among other things, mass storage for data or instructions. By way of example, and not limitation, memory 82 may include a Hard Disk Drive (Hard Disk Drive, abbreviated to HDD), a floppy Disk Drive, a Solid State Drive (SSD), flash memory, an optical Disk, a magneto-optical Disk, tape, or a Universal Serial Bus (USB) Drive or a combination of two or more of these. Memory 82 may include removable or non-removable (or fixed) media, where appropriate. Memory 82 may be internal or external to the data processing system, where appropriate. In a particular embodiment, the memory 82 is a Non-Volatile (Non-Volatile) memory. In particular embodiments, Memory 82 includes Read-Only Memory (ROM) and Random Access Memory (RAM). The ROM may be mask-programmed ROM, Programmable ROM (PROM), Erasable PROM (EPROM), Electrically Erasable PROM (EEPROM), Electrically rewritable ROM (EAROM), or FLASH Memory (FLASH), or a combination of two or more of these, where appropriate. The RAM may be a Static Random-Access Memory (SRAM) or a Dynamic Random-Access Memory (DRAM), where the DRAM may be a Fast Page Mode Dynamic Random-Access Memory (FPMDRAM), an Extended data output Dynamic Random-Access Memory (EDODRAM), a Synchronous Dynamic Random-Access Memory (SDRAM), and the like.
The memory 82 may be used to store or cache various data files for processing and/or communication use, as well as possible computer program instructions executed by the processor 81.
The processor 81 reads and executes the computer program instructions stored in the memory 82 to implement the construction method of any one of the service indexes in the above embodiments.
In some of these embodiments, the electronic device may also include a communication interface 83 and a bus 80. As shown in fig. 8, the processor 81, the memory 82, and the communication interface 83 are connected via the bus 80 to complete communication therebetween.
The communication interface 83 is used for implementing communication between modules, systems, units and/or devices in the embodiments of the present application. The communication port 83 may also be implemented with other components such as: the data communication is carried out among external equipment, image/data acquisition equipment, a database, external storage, an image/data processing workstation and the like.
The bus 80 includes hardware, software, or both to couple the components of the electronic device to one another. Bus 80 includes, but is not limited to, at least one of the following: data Bus (Data Bus), Address Bus (Address Bus), Control Bus (Control Bus), Expansion Bus (Expansion Bus), and Local Bus (Local Bus). By way of example, and not limitation, Bus 80 may include an Accelerated Graphics Port (AGP) or other Graphics Bus, an Enhanced Industry Standard Architecture (EISA) Bus, a Front-Side Bus (Front Side Bus), an FSB (FSB), a Hyper Transport (HT) Interconnect, an ISA (ISA) Bus, an Infini Band Interconnect, a Low Pin Count (LPC) Bus, a memory Bus, a microchannel Architecture (MCA) Bus, a PCI (Peripheral Component Interconnect) Bus, a PCI-Express (PCI-X) Bus, a Serial Advanced Technology Attachment (SATA) Bus, a Video Electronics Bus (audio Electronics Association), abbreviated VLB) bus or other suitable bus or a combination of two or more of these. Bus 80 may include one or more buses, where appropriate. Although specific buses are described and shown in the embodiments of the application, any suitable buses or interconnects are contemplated by the application.
The electronic device may implement the method for constructing the service index described in conjunction with fig. 1 based on the acquired service index management and service index definition.
In addition, in combination with the method for constructing the service index in the above embodiment, the embodiment of the present application may provide a storage medium to implement. The storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement the method for constructing any of the service indicators in the above embodiments.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A method for constructing a service index is characterized by comprising the following steps:
a service requirement acquisition step, wherein an application layer analyzes and outputs a service index requirement to an engine layer according to the requirement;
and a service index construction step, wherein the engine layer completes construction of a service index corresponding to the service index requirement according to the service index requirement and in combination with a preset rule defined by the service index.
2. The method for constructing a service index according to claim 1, wherein the service requirement obtaining step specifically includes:
a resource acquisition step, wherein the application layer acquires and outputs data resources required by meeting the requirements by adopting a voice recognition technology according to the requirements of performance assessment;
and a requirement forming step, namely retrieving the data resource from a database, converting the requirement into the corresponding service index requirement according to the retrieved data resource and sending the service index requirement to the engine layer.
3. The method for constructing a service index according to claim 1, wherein the step of constructing a service index specifically includes:
a rule making step, namely presetting a rule defined by the service index in the engine layer;
a naming construction step, namely judging whether the service index requirements accord with the rules or not through a rule matching technology, finishing naming of the service indexes when the service index requirements accord with the rules, and finishing naming of the service indexes according to corresponding prompts when the service index requirements do not accord with the rules;
and a rule construction step, namely performing secondary voice analysis on the service index requirement according to the data resource and outputting the service index calculation rule.
4. The method for constructing a business index according to claim 1, wherein the business index constructing step is followed by the steps of:
the method comprises the steps of data acquisition, wherein the engine layer receives and configures parameters according to a data source of a data source layer, and synchronizes metadata information of the data source;
and an index obtaining step, wherein the engine layer performs index calculation on the data source according to the service index calculation rule and outputs a calculation result to the application layer.
5. A system for constructing a business index, comprising:
the application layer analyzes and outputs the service index requirement to an engine layer according to the requirement;
and the engine layer completes construction of the business indexes corresponding to the business index requirements according to the business index requirements and by combining with rules defined by preset business indexes.
6. A system for constructing a business indicator in accordance with claim 5, wherein said application layer comprises:
the resource acquisition module is used for acquiring and outputting data resources required by meeting the performance assessment requirements by adopting a voice recognition technology according to the performance assessment requirements;
and the requirement forming module is used for searching the data resources in a database, converting the requirements into the corresponding service index requirements according to the searched data resources and transmitting the service index requirements to the engine layer.
7. A system for building a business indicator according to claim 5, wherein the engine layer comprises:
the rule making module is used for presetting the rules defined by the service indexes in the engine layer;
the naming construction module judges whether the service index requirements accord with the rules or not through a rule matching technology, finishes naming of the service indexes when the service index requirements accord with the rules, and finishes naming of the service indexes according to corresponding prompts when the service index requirements do not accord with the rules;
and the rule construction module is used for carrying out secondary voice analysis on the service index requirements according to the data resources and outputting the service index calculation rule.
8. A business indicator construction system according to claim 5, further comprising a data source layer outputting a data source to the engine layer,
the engine layer carries out parameter configuration corresponding to the data source and synchronizes metadata information of the data source;
and the engine layer performs index calculation on the data source according to the service index calculation rule and outputs a calculation result to the application layer.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of constructing a business indicator according to any one of claims 1 to 4 when executing the computer program.
10. A storage medium having stored thereon a computer program, characterized in that the program, when being executed by a processor, implements the business service indicator construction method according to any one of claims 1 to 4.
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