CN109242264A - For system index intelligent modeling acquisition system - Google Patents
For system index intelligent modeling acquisition system Download PDFInfo
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- CN109242264A CN109242264A CN201810926203.1A CN201810926203A CN109242264A CN 109242264 A CN109242264 A CN 109242264A CN 201810926203 A CN201810926203 A CN 201810926203A CN 109242264 A CN109242264 A CN 109242264A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/20—Software design
- G06F8/24—Object-oriented
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The present invention relates to the modeling acquisition technique fields of system index, it discloses for system index intelligent modeling acquisition system, including multithreading distributed module, acquisition engine module, data reconstruction module, data memory module, visualization engine module, Self Matching module and regular trigger module, after first class index model is entered into software, system can be automatically according to the calculating parameter being related in first class index, the cross-system collection model of the Intelligent Establishment index, then timing, two-level index data are obtained from multiple systems by the technology of simulation login page parsing, and it calculates automatically, generate the calculated result of first class index.When finding first class index calculated result lower than being expected, it is alerted, early warning, the present invention is automatic from manually becoming system by the mode that index calculates, and the function that can realize a series of automations such as automatic collection, automatic integration, automatic calculating, automatic name arranging, automatic early-warning by system greatly promotes management matter effect.
Description
Technical field
The present invention relates to the modeling acquisition technique fields of system index, in particular to acquire for system index intelligent modeling
System.
Background technique
Currently in the calculating of the fellow peers' evaluation of Utilities Electric Co., a total of 141 first class index relate to more than 500 two
Grade index.These indexs are divided into subjective scores again, real data calculates score.It is more since the system that two-level index is related to is numerous
A system can not provide effective interface, cause, and the data between system are difficult to effectively circulate, current global index data acquisition
Work is all manually to be checked on multiple systems, and then in same artificial convergence, arrangement, output report, overall calculation is all
It is artificial statistics and extremely complex, high labor cost, accuracy rate bottom, two-level index number is especially manually obtained from 50 systems
According to the management system of strong influence electric power, statistics timeliness requirement.
Summary of the invention
Invention is designed to provide for system index intelligent modeling acquisition system, the mode that the present invention calculates index
It is automatic from manually becoming system, and automatic collection, automatic integration, automatic calculatings, automatic name arranging, automatically can be realized by system
A series of function of automations such as early warning greatly promotes management matter effect, to solve the problems mentioned in the above background technology.
To achieve the above object, the invention provides the following technical scheme:
One kind being used for system index intelligent modeling acquisition system, including multithreading distributed module, acquisition engine module, data weight
Structure module, data memory module, visualization engine module, Self Matching module and regular trigger module, multithreading distributed module
Connect respectively with data memory module, data reconstruction module and acquisition engine module, data memory module respectively with visually draw
It holds up module to connect with data reconstructed module, data reconstruction module is connect with acquisition engine module, and acquisition engine module is connected to master
Machine, wherein
Multithreading distributed module is handled for multiple software clients, server-side, can be in same computer or clothes
Open multiple softwares in business device end；
Acquisition engine module according to the data for the first class index and two-level index for obtaining rule acquisition base unit search, and analyzes master
The data of first class index and two-level index that machine uploads；
Data reconstruction module makes the conversion of the data format of acquisition according to reconfiguration rule and is put in storage to data memory module；
Data memory module stores the data of first class index and two-level index according to storage rule；
First class index and two-level index are concentrated in software according to visual rule, form observable search by visualization engine module
Rope, and be integrated into administration view and drawing；
Self Matching module combines visual cloud and visual rule to the first class index and two-level index Auto-matching of concentration；
Regular trigger module obtains rule, reconfiguration rule, storage rule and visual rule for managing.
Further, design method step are as follows:
Step 1: the acquisition computation rule of customized first class index in software systems；
Step 2: the login authorization in each system is preset in software systems；
Step 3: system follows up the calculation formula of first class index, automatically analyzes the system being related to, the interface index in system,
Then it is directed to the first class index, establishes collection model, periodically goes to carry out data acquisition；
Step 4: it after acquiring all two-level index being related to, is calculated automatically；
Step 5: the calculated result of first class index is compared with desired value, automatic early-warning alarm.
Further, system is developed using Java language, using J2EE frame, carries out data interconnection using WebService
Intercommunication.
Further, system database uses database MYSQL.
Further, the operating system of software is supported: Linux, Window Server 2003/2008.
Further, the browser of software is supported: IE6, IE7, IE8, Firefox 3.5.
Further, the design tool of software be ProwerDesigner 15.0, developing instrument be Eclipse 3.1,
Maven 3.0。
Further, the web testing tool of software is Jmeter 2.3, IETester 2.1, and Web server is supported
Weblogic 10.3、Tomcat 6.0。
Compared with prior art, the beneficial effects of the present invention are:
1, provided by the present invention for system index intelligent modeling acquisition system, system software through the invention refers to level-one
After mark model is entered into software, system can be automatically according to the calculating parameter (two-level index) being related in first class index, knot
The cross-system collection model of the prior arts Intelligent Establishment such as page parsing, file stream, interface index is closed, then timing, passes through
The technology of simulation login page parsing obtains two-level index data from multiple systems, and calculates automatically, the side that index is calculated
Formula is automatic from manually becoming system, and effective data acquiring mode can be established by realizing that multisystem version is different, calculates difference, keeps away
Exempting from multiple related two-level index is always that artificial statistics calculates, and based on the mode of software automatic modeling acquisition, is substantially reduced artificial
Analysis, acquisition, statistical work promote the managerial whole matter effect of enterprise's fellow peers' evaluation.
2, provided by the present invention for system index intelligent modeling acquisition system, the calculating knot for generating first class index is calculated
The calculated result of fruit, first class index is compared with desired value, judges whether to meet early-warning conditions, when discovery first class index calculates
When as a result lower than being expected, meets early-warning conditions, alerted, early warning, realize automatic early-warning function.
Detailed description of the invention
Fig. 1 is software system architecture figure of the invention；
Fig. 2 is software systems index system table figure of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Referring to Fig. 1, a kind of be used for system index intelligent modeling acquisition system, including multithreading distributed module, acquisition
Engine modules, data reconstruction module, data memory module, visualization engine module, Self Matching module and regular trigger module are more
Thread distributed module is connect with data memory module, data reconstruction module and acquisition engine module respectively, is convenient for multithreading
Distributed module and data memory module, data reconstruction module and acquisition engine module carry out data transmitting, and data store mould
Block is connect with visualization engine module and data reconstructed module respectively, and data reconstruction module is connect with acquisition engine module, and acquisition is drawn
It holds up module and is connected to host, wherein multithreading distributed module is handled for multiple software clients, server-side, can be with
It is to open multiple softwares in same computer or server end, convenient for uploading the data of each first class index and two-level index；It adopts
Collect engine modules, according to the data for the first class index and two-level index for obtaining rule acquisition base unit search, and analyzes host upload
First class index and two-level index data, avoid manually counting and upload, first class index model is entered into software automatically by system；
Data reconstruction module makes the conversion of the data format of acquisition according to reconfiguration rule and is put in storage to data memory module；Data storage
The data of first class index and two-level index are stored according to storage rule, avoid losing by module, are also convenient for later period lookup；
First class index and two-level index are concentrated in software according to visual rule, form observable search by visualization engine module, and
It is integrated into administration view and drawing, it appears that be more clear intuitive；Self Matching module combines visual cloud and visual rule
First class index and two-level index Auto-matching to concentration；Regular trigger module obtains rule, reconfiguration rule, storage for managing
Regular and visual rule can be managed achievement data in the process of processing.
Software system design method and step are as follows:
Step 1: system is developed using Java language, Java language have distribution, explanation type, reliably, it is safety, high-performance, more
The advantages of thread, system use J2EE frame, and J2EE frame is to build with scalability, flexibility, the commercial affairs of ease for maintenance
System provides good mechanism, carries out data interconnection and interflow using WebService, WebService can to operate in not
It need not be by additional, special third party software or hardware with the different application on machine, so that it may be exchanged with each other data or collection
At first class index model is entered into software, avoids people by the acquisition computation rule of customized first class index in software systems
Work typing；
Step 2: the login authorization preset in each system in software systems is verified convenient for that can be logged according to permission
It logs in；
Step 3: system follows up the calculation formula of first class index, automatically analyzes the system being related to, the interface index in system,
Then it is directed to the first class index, system can be automatically according to the calculating parameter (two-level index) being related in first class index, intelligence
The cross-system collection model of the index can be established, realizes that multisystem version difference, calculating difference can establish effective data and obtain
Mode is taken, avoiding multiple related two-level index is always that artificial statistics calculates, based on the mode of software automatic modeling acquisition, significantly
Manual analysis, acquisition, statistical work are reduced, the managerial whole matter effect of enterprise's fellow peers' evaluation is promoted, system database uses number
According to library MYSQL, MYSQL speed is fast, highly reliable and adaptability is good, then periodically goes to carry out data acquisition；
Step 4: after acquiring all two-level index being related to, through the technology of simulation login page parsing from multiple systems
Two-level index data are obtained, and are calculated automatically, the calculated result of first class index is generated；
Step 5: the calculated result of first class index is compared with desired value, judges whether to meet early-warning conditions, when discovery level-one
When index calculated result is lower than being expected, meets early-warning conditions, alerted, early warning.
The operating system of software is supported: Linux, Window Server 2003/2008 support multiple system versions, just
, calculating difference different in multisystem version can establish effective data acquiring mode.The browser of software is supported: IE6, IE7,
IE8, Firefox 3.5 supports multiple browser versions.The design tool of software is ProwerDesigner 15.0, develops work
Tool is Eclipse 3.1, Maven 3.0.The Version Control of software: SVN 1.5.The project management of software: Microsoft
Project 2007.Software defect management tool: Bugzilla 3.2.The web testing tool of software be Jmeter 2.3,
IETester 2.1, Web server support Weblogic 10.3, Tomcat 6.0.
As can be seen from FIG. 2, rear-service department, office and distribution do the first class index of three departments, part two-level index with
And part three-level index is all made of system software of the invention and obtains data, illustrates that multisystem version difference, calculating difference can
Effective data acquiring mode is established, avoiding multiple related two-level index is always that artificial statistics calculates.
Working principle: the acquisition computation rule of customized first class index in software systems, by first class index model typing
To software, the login authorization in each system is preset in software systems, after authorization logs in, system follows up the calculating of first class index
Formula automatically analyzes the system being related to, and then the interface index in system is directed to the first class index, system can be automatic
According to the calculating parameter (two-level index) being related in first class index, the cross-system collection model of the Intelligent Establishment index, then
Timing goes to carry out data acquisition, after acquiring all two-level index being related to, by the technology of simulation login page parsing from more
Two-level index data are obtained in a system, and are calculated automatically, and the calculated result of first class index, the calculated result of first class index are generated
It is compared with desired value, judges whether to meet early-warning conditions, when finding first class index calculated result lower than being expected, met pre-
Alert condition, is alerted, early warning.
In conclusion proposed by the present invention be used for system index intelligent modeling acquisition system, system through the invention is soft
Part, after first class index model is entered into software, system can be automatically according to the calculating parameter (two being related in first class index
Grade index), in conjunction with the cross-system collection model of the prior arts Intelligent Establishment such as page parsing, file stream, interface index, then
Periodically, two-level index data are obtained from multiple systems by the technology of simulation login page parsing, and calculated automatically, by index
The mode of calculating is automatic from manually becoming system, realizes that multisystem version difference, calculating difference can establish effective data and obtain
Mode is taken, avoiding multiple related two-level index is always that artificial statistics calculates, based on the mode of software automatic modeling acquisition, significantly
Manual analysis, acquisition, statistical work are reduced, the managerial whole matter effect of enterprise's fellow peers' evaluation is promoted.It calculates and generates first class index
Calculated result, the calculated result of first class index is compared with desired value, judges whether to meet early-warning conditions, when discovery level-one
When index calculated result is lower than being expected, meets early-warning conditions, alerted, early warning, realize automatic early-warning function.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Anyone skilled in the art within the technical scope of the present disclosure, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (8)
1. one kind is used for system index intelligent modeling acquisition system, including multithreading distributed module, acquisition engine module, data
Reconstructed module, data memory module, visualization engine module, Self Matching module and regular trigger module, which is characterized in that multi-thread
Journey distributed module is connect with data memory module, data reconstruction module and acquisition engine module respectively, data memory module
It is connect respectively with visualization engine module and data reconstructed module, data reconstruction module is connect with acquisition engine module, acquisition engine
Module is connected to host, wherein
Multithreading distributed module is handled for multiple software clients, server-side, can be in same computer or clothes
Open multiple softwares in business device end；
Acquisition engine module according to the data for the first class index and two-level index for obtaining rule acquisition base unit search, and analyzes master
The data of first class index and two-level index that machine uploads；
Data reconstruction module makes the conversion of the data format of acquisition according to reconfiguration rule and is put in storage to data memory module；
Data memory module stores the data of first class index and two-level index according to storage rule；
First class index and two-level index are concentrated in software according to visual rule, form observable search by visualization engine module
Rope, and be integrated into administration view and drawing；
Self Matching module combines visual cloud and visual rule to the first class index and two-level index Auto-matching of concentration；
Regular trigger module obtains rule, reconfiguration rule, storage rule and visual rule for managing.
2. according to claim 1 be used for system index intelligent modeling acquisition system, which is characterized in that design method
Step are as follows:
Step 1: the acquisition computation rule of customized first class index in software systems；
Step 2: the login authorization in each system is preset in software systems；
Step 3: system follows up the calculation formula of first class index, automatically analyzes the system being related to, the interface index in system,
Then it is directed to the first class index, establishes collection model, periodically goes to carry out data acquisition；
Step 4: it after acquiring all two-level index being related to, is calculated automatically；
Step 5: the calculated result of first class index is compared with desired value, automatic early-warning alarm.
3. according to claim 1 be used for system index intelligent modeling acquisition system, which is characterized in that system uses Java
Language development carries out data interconnection and interflow using WebService using J2EE frame.
4. according to claim 1 be used for system index intelligent modeling acquisition system, which is characterized in that system database is adopted
With database MYSQL.
5. according to claim 1 be used for system index intelligent modeling acquisition system, which is characterized in that the operation system of software
System is supported: Linux, Window Server 2003/2008.
6. according to claim 1 be used for system index intelligent modeling acquisition system, which is characterized in that the browser of software
It supports: IE6, IE7, IE8, Firefox 3.5.
7. according to claim 1 be used for system index intelligent modeling acquisition system, which is characterized in that the design work of software
Tool is ProwerDesigner 15.0, and developing instrument is Eclipse 3.1, Maven 3.0.
8. according to claim 1 be used for system index intelligent modeling acquisition system, which is characterized in that the web of software is surveyed
Trial work tool is Jmeter 2.3, IETester 2.1, and Web server supports Weblogic 10.3, Tomcat 6.0.
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| CN111125052A (en) * | 2019-10-25 | 2020-05-08 | 北京华如科技股份有限公司 | Big data intelligent modeling system and method based on dynamic metadata |
| CN112329081A (en) * | 2020-11-06 | 2021-02-05 | 大唐环境产业集团股份有限公司 | Intelligent post-processing module of intelligent design system of steel frame structure |
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Effective date of registration: 20190103 Address after: Room 202, Room 202, Welcoming Room 2, No. 368 Mingzhu North Road, Xiangzhou District, Zhuhai City, Guangdong Province Applicant after: Zhuhai Chuangye Technology Co. Ltd. Address before: 334001 Control Building, 49 Minde Road, Xinzhou District, Shangrao City, Jiangxi Province Applicant before: State Grid Jiangxi Electric Power Co., Ltd. Shangrao power supply branch |
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Effective date of registration: 20190215 Address after: 334001 Control Building, 49 Minde Road, Xinzhou District, Shangrao City, Jiangxi Province Applicant after: State Grid Jiangxi Electric Power Co., Ltd. Shangrao power supply branch Address before: Room 202, Room 202, Welcoming Room 2, No. 368 Mingzhu North Road, Xiangzhou District, Zhuhai City, Guangdong Province Applicant before: Zhuhai Chuangye Technology Co. Ltd. |
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Application publication date: 20190118 |