CN105005832A - Power supply station work task optimal allocation system - Google Patents

Power supply station work task optimal allocation system Download PDF

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Publication number
CN105005832A
CN105005832A CN201510500308.7A CN201510500308A CN105005832A CN 105005832 A CN105005832 A CN 105005832A CN 201510500308 A CN201510500308 A CN 201510500308A CN 105005832 A CN105005832 A CN 105005832A
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China
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power supply
supply station
module
task
data
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CN201510500308.7A
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Chinese (zh)
Inventor
杨凛
葛林枫
李卫
孙学宝
李巍
张涛
廖谦
李俊杰
袁晓婷
贺尔文
杨祖贤
胡亚泽
Original Assignee
杨凛
葛林枫
李卫
孙学宝
李巍
张涛
廖谦
李俊杰
袁晓婷
贺尔文
杨祖贤
胡亚泽
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Application filed by 杨凛, 葛林枫, 李卫, 孙学宝, 李巍, 张涛, 廖谦, 李俊杰, 袁晓婷, 贺尔文, 杨祖贤, 胡亚泽 filed Critical 杨凛
Priority to CN201510500308.7A priority Critical patent/CN105005832A/en
Publication of CN105005832A publication Critical patent/CN105005832A/en

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Abstract

The invention discloses a power supply station work task optimal allocation system, which is characterized in that an ETL data acquisition module acquires data of safety production services, marketing services and integrated management services in an existing information system of a power supply station, processes the data and forms standardized data; a data computing and processing module acquires a data set processed by the ETL data acquisition module, carries out organization and further computation and processing on the data set according to a big data service working model of the power supply station, and produces a work efficiency coefficient of specific work tasks of the staff of the power supply station; a power supply station multi-task work dispatching and distributing module places the staff of the power supply station in a shared human resource pool, and calculates an optimum solution for optimal allocation of the work tasks of the power supply station; and a front-end display control module displays a final result to the management staff. The system disclosed by the invention provides a technical means for quantitatively evaluating works of the power supply station for the management staff of the power supply station, and promotes optimal allocation and efficient operation of human resources of power supply enterprises.

Description

A kind of power supply station task Optimizing Configuration System

Technical field

The present invention relates to a kind of power supply station task Optimizing Configuration System, belong to power industry optimization analysis technical field.

Background technology

Power supply station is the important component part of power supply enterprise, is the basis that power supply enterprise implemented and completed every production task, management activity.The quality of power supply station's work, will directly have influence on whole economic efficiency, social image, the development and construction of power supply enterprise.As the elemental operation unit towards distribution net equipment and Electricity customers, power supply station needs the controller switching equipment management simultaneously carried out in electric power safety production business, breakdown repair, equipment-patrolling, defect processing, outage management, security risk management and control, Work tool manages, with the electricity in power marketing service business, check meter, charge, 95598 work orders, Business Process System, client visits, line loss analyzing, power utility check, some parallel tasks such as measuring apparatus management, but the crew numbers of power supply station is limited, and the ability that everyone carries out every work is different with efficiency, need the task of managerial personnel's reasonable distribution power supply station staff for this reason.The distribution of tradition power supply station task, mainly through formulating power supply station's work program, is rule of thumb judged by power supply station responsible official and distributes the specific works task of each employee.This power supply station's task Optimizing Configuration System utilizes computer technology, by setting up the large data service model of power supply station, analyze the data such as safety in production business, marketing service business and the integrated management business in power supply station's existing information system, thus assessment draws the work efficiency coefficient of power supply station staff.Power supply station staff and work efficiency coefficient are placed in a shared HR pool by system, by genetic algorithm, after the successive ignition such as chromosome selection, intersection, mutation operation, just can calculate the optimum solution that power supply station's task distributes.

Power supply station's task Optimizing Configuration System quantizes the workload of power supply station's task and the work efficiency coefficient of power supply station staff, thus quantitative evaluation obtains the time that power supply station staff completes specific works task.The power supply station's task Optimized model set up by system, power supply station managerial personnel can carry out the recruitment evaluation of power supply station staff optimization, namely increase or reduce power supply station crew numbers, then carry out task and distribute calculating rationally, that estimates out every task completes hourage, contrast before optimizing with power supply station staff, just can draw the influence degree of carrying out this suboptimization and power supply station being worked.

Electric power enterprise is as the typical case of capital-intensive and technology-intensive industry, and infotech has covered capital construction, production, operation, office, management every field, and not only historical data amount is huge, and the data volume of Real-time Collection and generation just increases rapidly.Current, power supply station applies the infosystems such as Distribution Network Information Management System, power marketing management information system, electric energy measurement automation system, customer service system, power network GIS platform, quartile damage system.But there is the single feature of business in each power information system, as power supply station managerial personnel need by information grasp power supply station's working condition time, need to access multiple infosystem, and it is separate between infosystem, lack association, island phenomenon exists with power information system always, causes power supply station managerial personnel to want the validity of oneself comprehensive descision data.Power supply station's task Optimizing Configuration System is by setting up the large data service model of power supply station, analyze the incidence relation of power supply station's existing information data, power supply station's existing business can be improved, finding out the large data of power supply station can the business opportunity of creating advantages, improve power supply station's work efficiency, conscientiously alleviate the burden of power supply station, for power supply station's management reduces barrier, and promote distributing rationally and Efficient Operation of power supply enterprise's human resources.

Summary of the invention

The present invention proposes a kind of power supply station task Optimizing Configuration System, the large data service model of power supply station and multitask scheduling apportion model are set up in clearance, solve the current problem that power supply station's existing information data cannot be utilized to carry out power supply station's task distribute rationally, improve power supply station's work efficiency.

For solving the problems of the technologies described above, technical scheme of the present invention is:

Power supply station's task Optimizing Configuration System, comprising: control module is shown in ETL data acquisition module, data computing module, power supply station's multitask scheduling distribution module and front end;

ETL data acquisition module, it gathers safety in production business, marketing service business and integrated management business datum in power supply station existing information system, carries out extracting, cleans, changes, integrates, loading processing, forms standardized data;

Data computing module, after its data set after obtaining the process of ETL data acquisition module, it is carried out tissue and further computing according to power supply station's large data service working model, and generation staff examines required intermediate result and stores;

Power supply station's multitask scheduling distribution module, power supply station staff is placed in a shared HR pool by it, and it comprises the work efficiency coefficient of the specific works task items of more than; Simultaneously in conjunction with power supply station's expection task workload, pass through genetic algorithm, and fitness function and objective function, utilize the random regulated efficiency matrix of computer system, after chromosome selection, crossover and mutation operation successive ignition, calculate the optimum solution that power supply station's task is distributed rationally;

Control module is shown in front end, and final result is showed managerial personnel by it, and managerial personnel also show control module by front end, increases or reduces the crew numbers of power supply station and carry out the assessment that power supply station staff distributes rationally.

Above-mentioned power supply station's task Optimizing Configuration System also comprises: work efficiency evaluation module and task prediction module;

Described work efficiency evaluation module, it is by analyzing power supply station's existing information system data, the work efficiency coefficient of power supply station staff specific works task items is judged in assessment, and power supply station staff work efficiency coefficient is sent to power supply station's multitask scheduling distribution module;

Task prediction module, it is by analyzing power supply station's work program, and power supply station's existing information system data, estimate the workload of power supply station's later stage work task, and the task workload of quantification is sent to power supply station's multitask scheduling distribution module.

Aforesaid power supply station task Optimizing Configuration System is, described work efficiency evaluation module is also for being sent to data computing module by described power supply station staff work efficiency coefficient; Task prediction module is also for being sent to described data computing module by the anticipated workload of described power supply station task.

The anticipated workload of power supply station staff work efficiency coefficient and power supply station's task is pushed to the display of front end displaying control module by described test evaluation module, and is stored in worker information database as intermediate result.

Aforesaid power supply station task Optimizing Configuration System is, described power supply station multitask scheduling distribution module comprises: initialization module, iterative computation module and evaluation of result module;

Initialization mould: for initialization power supply station employee resources pond, staff's work efficiency coefficient, power supply station's later stage work task workload;

Iterative computation module: for chromosome selection, intersection, mutation operation iterative computation in genetic algorithm, and result of calculation is sent to evaluation of result module;

Evaluation of result module: for operations such as chromosome decodings in genetic algorithm, and whether be optimum solution, then result is sent to front end in this way and shows that control module is shown if evaluating result of calculation, if not being that optimum solution then notifies that iterative computation module continues iterative computation; By front end, the evaluation mechanism of evaluation of result module shows that control module controls;

Aforesaid power supply station task Optimizing Configuration System is that described front end display module comprises: computer desktop terminal.

Aforesaid power supply station task Optimizing Configuration System is, staff examines required intermediate result to be the work efficiency coefficient of power supply station staff.

Compared with the prior art, power supply station of the present invention task Optimizing Configuration System uses computer technology, by data such as the safety in production in analysis power supply station existing information system, marketing service and integrated management business, thus assessment draws the work efficiency coefficient of power supply station staff and the workload of power supply station's expection task.And after the successive ignition such as the selection of genetic algorithm chromosome, intersection, variation calculates, draw the optimum solution that power supply station's task is distributed rationally, realize distributing rationally and estimating power supply station's later stage work task and staff.

Accompanying drawing explanation

In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.

Fig. 1 is a kind of power supply station task Optimizing Configuration System structural representation of the embodiment of the present invention;

Fig. 2 is the another kind of power supply station task Optimizing Configuration System structural representation of the embodiment of the present invention;

Fig. 3 is the concrete structure schematic diagram of multitask scheduling distribution module in Fig. 1 and Fig. 2.

Embodiment

Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.

Power supply station's task Optimizing Configuration System of the embodiment of the present invention as shown in Figure 1, comprising: power supply station's multitask scheduling distribution module 100, data computing module 200, front end show control module 300 and ETL data acquisition module 400.ETL data acquisition module 400 gathers safety in production business, marketing service business and integrated management business datum in power supply station's existing information system, carries out extracting, cleans, changes, integrates, a series of process (ETL) such as loading, forms standardized data.After the data set of data computing module 200 after obtaining ETL process, it is carried out tissue and further computing according to power supply station's large data service working model, produce the intermediate results such as power supply station staff work efficiency coefficient and store.Power supply station staff is placed in a shared HR pool by power supply station's multitask scheduling distribution module 100, and it comprises the work efficiency coefficient of some specific works task items; Simultaneously in conjunction with power supply station's expection task workload, pass through genetic algorithm, and fitness function and objective function, utilize the random regulated efficiency matrix of computer system, after the successive ignition such as chromosome selection, intersection, mutation operation, calculate the optimum solution that power supply station's task is distributed rationally.Front end shows that final result is showed power supply station managerial personnel by control module 300, by front end, power supply station managerial personnel also show that control module assesses by the quantity increasing or reduce power supply station staff the result that power supply station staff distributes rationally.

ETL data acquisition module 400 adopts data analysis digging technology to realize, ETL data acquisition module 400 will from power marketing management information system, electric energy measurement automation system, power grid GIS spatial Information Service platform, customer service system, Distribution Network Information Management System (DIS), Performance Management System, electrical network mobile operating platform, HY2000 power distribution network data management system, the data of the systems such as power supply station's mobile operating and integrated information platform, extract, cleaning, conversion, integrate, a series of process (ETL) such as loading, form standardized data, for data computing module 200 analyzing and processing provides Data Source.Data computing module 200 in acquisition after ETL process after data set, it is carried out tissue and further computing according to power supply station's large data service working model, and produce intermediate result, in calculating for power supply station's multitask scheduling distribution module 100.

Power supply station's task Optimizing Configuration System of the invention process case solves the defect of existing power supply station task distribution mechanism, and achieve the quantizing examination to power supply station's work, the power supply station's task realizing robotization is distributed rationally.

Further, power supply station's task Optimizing Configuration System of the present embodiment as shown in Figure 2, also comprises: work efficiency evaluation module 500 and task prediction module 600.

Work efficiency evaluation module 500 is for the power supply station's existing information system data by gathering ETL data acquisition module 400, carry out data mining cluster analysis etc., the work efficiency coefficient of power supply station staff specific works task items is judged in assessment, and power supply station staff work efficiency coefficient is sent to power supply station's multitask scheduling distribution module 100, intermediate result stores in data computing module 200 simultaneously, and shows that in front end control module 300 is shown;

Task prediction module 600 is for according to power supply station's work program, and to power supply station's existing information system data that ETL data acquisition module 400 gathers, carry out Data Mining Classification, forecast analysis, estimate the workload of power supply station's later stage work task, and the task workload of quantification is sent to power supply station's multitask scheduling distribution module 100, intermediate result stores in data computing module 200 simultaneously, and shows that in front end control module 300 is shown.

Power supply station's multitask scheduling distribution module 100 is concrete as shown in Figure 3, comprising: initialization module 110, iterative computation module 120 and evaluation of result module 130.Initialization module 110 is for initialization power supply station employee resources pond, staff's work efficiency coefficient, power supply station's later stage work task workload etc.; Iterative computation module 120 is for the iterative computation such as chromosome selection, intersection, mutation operation in genetic algorithm, and result of calculation is sent to evaluation of result module 130, evaluation of result module 130 is for operations such as chromosome decodings in genetic algorithm, and whether evaluate result of calculation be optimum solution, then result is sent to front end in this way and shows that control module is shown, if not being that optimum solution then notifies that iterative computation module 120 continues iterative computation.According to front end, the evaluation mechanism of evaluation of result module 130 can show that control module 300 controls, as: the maximum number of times of iteration controls.

Wherein, front end shows that control module 300 comprises: computer desktop terminal.

The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (6)

1. power supply station's task Optimizing Configuration System, is characterized in that, comprising: control module is shown in ETL data acquisition module, data computing module, power supply station's multitask scheduling distribution module and front end;
ETL data acquisition module, it gathers safety in production business, marketing service business and integrated management business datum in power supply station existing information system, carries out extracting, cleans, changes, integrates, loading processing, forms standardized data;
Data computing module, after its data set after obtaining the process of ETL data acquisition module, it is carried out tissue and further computing according to power supply station's large data service working model, and generation staff examines required intermediate result and stores;
Power supply station's multitask scheduling distribution module, power supply station staff is placed in a shared HR pool by it, and it comprises the work efficiency coefficient of the specific works task items of more than; Simultaneously in conjunction with power supply station's expection task workload, pass through genetic algorithm, and fitness function and objective function, utilize the random regulated efficiency matrix of computer system, after chromosome selection, crossover and mutation operation successive ignition, calculate the optimum solution that power supply station's task is distributed rationally;
Control module is shown in front end, and final result is showed managerial personnel by it, and managerial personnel also show control module by front end, increases or reduces the crew numbers of power supply station and carry out the assessment that power supply station staff distributes rationally.
2. power supply station according to claim 1 task Optimizing Configuration System, is characterized in that, also comprise: work efficiency evaluation module and task prediction module;
Described work efficiency evaluation module, it is by analyzing power supply station's existing information system data, the work efficiency coefficient of power supply station staff specific works task items is judged in assessment, and power supply station staff work efficiency coefficient is sent to power supply station's multitask scheduling distribution module;
Task prediction module, it is by analyzing power supply station's work program, and power supply station's existing information system data, estimate the workload of power supply station's later stage work task, and the task workload of quantification is sent to power supply station's multitask scheduling distribution module.
3. power supply station according to claim 2 task Optimizing Configuration System, is characterized in that, described work efficiency evaluation module is also for being sent to data computing module by described power supply station staff work efficiency coefficient; Task prediction module is also for being sent to described data computing module by the anticipated workload of described power supply station task;
The anticipated workload of power supply station staff work efficiency coefficient and power supply station's task is pushed to the display of front end displaying control module by described test evaluation module, and is stored in worker information database as intermediate result.
4. power supply station according to claim 3 task Optimizing Configuration System, is characterized in that, described power supply station multitask scheduling distribution module comprises: initialization module, iterative computation module and evaluation of result module;
Initialization mould: for initialization power supply station employee resources pond, staff's work efficiency coefficient, power supply station's later stage work task workload;
Iterative computation module: for chromosome selection, intersection, mutation operation iterative computation in genetic algorithm, and result of calculation is sent to evaluation of result module;
Evaluation of result module: for operations such as chromosome decodings in genetic algorithm, and whether be optimum solution, then result is sent to front end in this way and shows that control module is shown if evaluating result of calculation, if not being that optimum solution then notifies that iterative computation module continues iterative computation; By front end, the evaluation mechanism of evaluation of result module shows that control module controls.
5. the power supply station's task Optimizing Configuration System according to any one of claim 1 ~ 4, is characterized in that, described front end display module comprises: computer desktop terminal.
6. power supply station according to claim 1 task Optimizing Configuration System, is characterized in that, staff examines required intermediate result to be the work efficiency coefficient of power supply station staff.
CN201510500308.7A 2015-08-14 2015-08-14 Power supply station work task optimal allocation system CN105005832A (en)

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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102930393A (en) * 2012-10-25 2013-02-13 海南电网公司 Comprehensive power grid information display visualization system

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102930393A (en) * 2012-10-25 2013-02-13 海南电网公司 Comprehensive power grid information display visualization system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
赵亚玲: "离散型制造车间操作人员优化配置方法研究", 《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》 *

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Application publication date: 20151028