CN107230025A - A kind of method that power regulation center service bearing capacity is assessed based on work-hour measurement - Google Patents

A kind of method that power regulation center service bearing capacity is assessed based on work-hour measurement Download PDF

Info

Publication number
CN107230025A
CN107230025A CN201710469613.3A CN201710469613A CN107230025A CN 107230025 A CN107230025 A CN 107230025A CN 201710469613 A CN201710469613 A CN 201710469613A CN 107230025 A CN107230025 A CN 107230025A
Authority
CN
China
Prior art keywords
work
bearing capacity
power
time
service bearer
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201710469613.3A
Other languages
Chinese (zh)
Inventor
陈厚荣
刘丽莎
兰翠芸
周家麒
潘玮明
李丽丽
许�鹏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Quanzhou Power Supply Co of State Grid Fujian Electric Power Co Ltd
Quanzhou Yixing Electric Power Co Ltd
Original Assignee
Quanzhou Power Supply Co of State Grid Fujian Electric Power Co Ltd
Quanzhou Yixing Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Quanzhou Power Supply Co of State Grid Fujian Electric Power Co Ltd, Quanzhou Yixing Electric Power Co Ltd filed Critical Quanzhou Power Supply Co of State Grid Fujian Electric Power Co Ltd
Priority to CN201710469613.3A priority Critical patent/CN107230025A/en
Publication of CN107230025A publication Critical patent/CN107230025A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • GPHYSICS
    • 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis
    • GPHYSICS
    • 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • GPHYSICS
    • 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • Educational Administration (AREA)
  • Development Economics (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • Primary Health Care (AREA)
  • General Health & Medical Sciences (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

A kind of method that power regulation center service bearing capacity is assessed based on work-hour measurement, is comprised the following steps successively:1. service bearer force estimation scope is determined, dispatching work items, research object and minute is determined;2. the total time T that daily dispatching work items are completed is calculatedAlways;3. the effective time T worked for each person every day is calculatedEffectively;4. the rest coefficient A of research object is calculated;5. according to formula

Description

A kind of method that power regulation center service bearing capacity is assessed based on work-hour measurement
Technical field
It is particularly a kind of that electricity is assessed based on work-hour measurement the present invention relates to power system personnel depaly administrative skill field The method that power regulates and controls center service bearing capacity.
Background technology
Enterprise of State Grid carries out the mode of power scheduling to improve the peace of operation of power networks in very fast development, electric power enterprise Quan Xing.This explanation, the safety management quality of power scheduling directly affects whole power network safety operation.In State Grid Corporation of China " big operation " System Construction increasingly deeply, under perfect background, with monitoring, the gradually fusion of scheduling business, conventional electric power is adjusted Degree business changes therewith, and whether existing dispatcher's configuration disclosure satisfy that growing scheduling business demand has been urgently To be solved the problem of.Existing personnel depaly way to manage only passes through the subjective judgement of administrative staff due to lacking network analysis The allocation optimum of personnel difficult to realize, therefore it is widely present uneven busy or personnel and the unmatched situation of business.
The content of the invention
The main object of the present invention be overcome the shortcoming of prior art there is provided one kind can draw post allocation optimum scheme and The corresponding service bearer power of staff, forecast year personnel depaly demand realizes regulation and control central task load, quality and personnel The method that power regulation center service bearing capacity is assessed based on work-hour measurement that quantity matches.
The present invention is adopted the following technical scheme that:
A kind of method that power regulation center service bearing capacity is assessed based on work-hour measurement, is comprised the following steps successively:
1. service bearer force estimation scope is determined, dispatching work items, research object and minute is determined;
2. record and the total time of each each specific operation of research object and the generation frequency in the statistical survey time, Calculate the total time T that daily dispatching work items are completedAlways
TAlways=∑ fn×hn, n=1,2,3 ... i;Wherein TAlways:The total time that daily dispatching work items are completed;fn:Event The generation frequency;hn:Event completes average time;
3. the effective time T worked for each person every day is calculatedEffectively
4. the rest coefficient A of research object is calculated according to formula A=working times/(working time-time of having a rest);
5. according to formulaCalculating should compile number of work, wherein, N:Number of work should be compiled;TAlways:Work daily Total hour;TEffectively:Work hours for each person every day;A:Rest coefficient;
6. service bearer power, wherein l are calculated according to formula l=N/n*100%:Service bearer power, N:Number of work should be compiled, n:Existing number of work;
7. service bearer power analysis is carried out;
As service bearer power l > 100%, now work bearing capacity overload;
As service bearer power l < 100%, the bearing capacity that now works is lighter;
As service bearer power l=100%, the bearing capacity that now works matching.
Further, the research object is the order of classes or grades at school selected from the representative order of classes or grades at school of power regulation central draw Personnel include regulation and control it is long, on the occasion of, secondary value, and some of the staff possess certain operation technical ability and academic title, and the post of measurement includes duty Appoint day shift, responsibility night shift, standby class.
Further, the dispatching work items are divided into some specific works and carry out subitem statistics respectively.
Further, the minute is two months.
Further, the effective time T worked for each person every dayEffectivelyComputational methods be:
A. according to the computational methods of national grid talent's equal yield density, talent equal yield density x ∈ (0,1.4) are obtained;
B. according to the scientific management theory of not Lay Derek Taylor, staff at work because having a meal, drinking water, upper lavatory And energy not collect time of medium factor consumption be about the 17% of the theoretical work time, according to averagely work is eight small daily When the system of labour power employment, drawing averagely daily scheduling, everyone can dominate work total time and is:T=(1-17%) * 8*60=398 (min);
C. by curve matching, T is obtainedEffectively=T*ln (x+1.3), wherein x ∈ (0,1.4), y ∈ (0,398).
Further, the time of having a rest computational methods are:
Time of having a rest=weekend+festivals or holidays+annual leave on general holiday+disease, thing, wedding, production, home leave.
Further, the number of work N that should compile is with talent's equal yield density relation:Wherein x ∈ (0,1.4).
From the above-mentioned description of this invention, compared with prior art, the beneficial effects of the invention are as follows:
By setting up service bearer force analysis model, post allocation optimum scheme and the corresponding business of staff can be drawn Bearing capacity, can be achieved forecast year personnel depaly demand, and are dispatched the coming years with business hours, average talent's equal yield density progress Prediction, and using power regulation center service Analysis of Bearing Capacity model realization regulation and control center in staffing requirement forecasting, improvement operation Updating in terms of Node distribution and optimization talent's equal yield density.Supply and demand gap is analyzed, so as to instruct the recruitment of regulation and control center Demand, realizes that regulation and control central task load, quality are matched with personnel amount.Can Optimization Work plan arrangement and runtime value it is well matched Put, be effectively improved the uneven situation of busy.
Embodiment
Below by way of embodiment, the invention will be further described.
The present invention it is a kind of based on work-hour measurement assess power regulation center service bearing capacity method, successively including with Lower step:
1. service bearer force estimation scope is determined, dispatching work items, research object and minute is determined;
The service bearer force estimation scope is defined as the whole business in power regulation center, and the research object is from electric power Regulate and control the representative order of classes or grades at school of central draw, the order of classes or grades at school personnel selected include regulation and control it is long, on the occasion of, secondary value, and some of the staff's tool Standby certain operation technical ability and academic title, the post of measurement include responsibility day shift, responsibility night shift, standby class;The dispatching work items Be divided into work ticket, request slip, dispatch command ticket, power plant management, defect closed loop, risk pre-control management, abnormality processing, at accident Reason, standby class, succeed, hand over to the next shift, learning, electricity is reported and submitted, record management, curve inquire about 15 specific works and carry out subitem statistics; Minute is two months.
2. the total time T that daily dispatching work items are completed is calculatedAlways
The total time of each each specific operation of research object and the generation frequency in record and statistical survey time.Build A data statistic is found, personnel's title, personnel ability's grade, order of classes or grades at school, post, commuter time are filled in completely, and according to The total time and the generation frequency of the content typing of original data record list and each specific operation of statistics.Table 1 is scheduling unit PROJECT TIME and frequency statistics are made in the division of labor;Table 2 is each job frequency statistics of scheduling in minute.
Table 1
Table 2
Portfolio First month Second month
Work ticket 58 16
Request slip 189 147
Dispatch command ticket 149 127
Power plant management 181 176
Defect closed loop 56 21
Risk pre-control management 43 34
Abnormality processing 5 3
Accident treatment 9 5
Standby class 30 25
Succeed 30 30
Hand over to the next shift 30 30
Study 30 30
Electricity is reported and submitted 30 30
Record management 30 30
Curve is inquired about 30 30
Calculate the total time T that daily dispatching work items are completedAlways
TAlways=∑ fn×hn, n=1,2,3 ... i;Wherein TAlways:The total time that daily dispatching work items are completed;fn:Event The generation frequency;hn:Event completes average time.
3. the effective time T worked for each person every day is calculatedEffectively
Table was investigated the age of research object, sex, academic title, educational background and length of service by inquiry, and to investigation As a result statistical analysis is carried out, employee's talent's equivalent is calculated, and try to achieve talent's equivalent average value.Table 3 is that talent's equivalent calculates knot Really;Table 4 is the statistical result investigated table 3.
Table 3
Table 4
Because the age of employee, technical ability, post level are different, then the time that can be effectively utilized in its working time is different.To carry The reference value of high result of study, by being exchanged with research object and expert consulting, while considering grasping for measurement process The property made, the effective work calculated for each person every day dominates the time, compared with talent's equal yield density.Table 5 is effectively work branch timing Between with talent's equivalent proportion compared with statistical form.
Table 5
Calculate the effective time T worked for each person every dayEffectively, comprise the following steps:
A. according to the computational methods of national grid talent's equal yield density, talent equal yield density x ∈ (0,1.4) are obtained;
B. according to the scientific management theory of not Lay Derek Taylor, staff at work because having a meal, drinking water, upper lavatory And energy not collect time of medium factor consumption be about the 17% of the theoretical work time, according to averagely work is eight small daily When the system of labour power employment, drawing averagely daily scheduling, everyone can dominate work total time and is:T=(1-17%) * 8*60=398 (min);
C. by curve matching, T is obtainedEffectively=T*ln (x+1.3), wherein x ∈ (0,1.4), y ∈ (0,398).
4. the rest coefficient A of research object is calculated according to formula A=working times/(working time-time of having a rest), its In:Working time=365 day, time of having a rest=weekend+festivals or holidays+annual leave on general holiday+disease, thing, wedding, production, home leave;
State net corporate policy employee year stops number of days such as table 6.
Table 6
Length of service Year stops number of days
Less than 10 years 5
More than 10 years, less than 15 years 10
More than 15 years 15
Due to regulation and control, operations staff is break tour system, without weekend and holiday no collection time in addition to year stops, is passed through All to department members year stop, disease, thing, wedding, production, the statistics in home leave can calculate to obtain the time of having a rest.Due to personnel's average length of service All in 6-15, then stop number of days average value year for 5 days;The leave of absence, sick leave, marriage leave pass through situation of being asked for leave to performance systems in recent years Counted, it can be deduced that annual average time is 3 days;Working time is that Fourth Shift two falls, if eight small with average work daily When the system of labour power employment convert, take a day off within three days equivalent to every work, then the time rested every year is 91.5 days;
It can thus be concluded that, the rest coefficient A=working times/(working time-time of having a rest)=365/ (365-5-3-91.5) =1.37.
5. according to formulaCalculating should compile number of work, wherein, N:Number of work should be compiled;TAlways:Work daily Total hour;TEffectively:Work hours for each person every day;A:Rest coefficient;
The number of work N that should compile is with talent's equal yield density relation:Wherein x ∈ (0, 1.4)。
6. service bearer power, wherein l are calculated according to formula l=N/n*100%:Service bearer power, N:Number of work should be compiled, n:Existing number of work;
7. service bearer power analysis is carried out;
As service bearer power l > 100%, now work bearing capacity overload;
As service bearer power l < 100%, the bearing capacity that now works is lighter;
As service bearer power l=100%, the bearing capacity that now works matching.
Table 7 is the result of calculation statistical form of each index in minute.
Table 7
Time TAlways x N n l
First month 3903.7 0.872 13 15 86.67%
Second month 4656.95 0.872 15 15 100%
It can analyze and draw from the above:At first month, scheduling service bearer power reached 93.3%, illustrates that traffic control is strong Degree appropriateness, is almost just matched;At second month, bearing capacity reached 106%, illustrated that traffic control intensity is very big, overload operation.
The specific embodiment of the present invention is above are only, but the design concept of the present invention is not limited thereto, all profits The change of unsubstantiality is carried out to the present invention with this design, the behavior for invading the scope of the present invention all should be belonged to.

Claims (7)

1. a kind of method that power regulation center service bearing capacity is assessed based on work-hour measurement, it is characterised in that:Include successively Following steps:
1. service bearer force estimation scope is determined, dispatching work items, research object and minute is determined;
2. record and the total time of each each specific operation of research object and the generation frequency in the statistical survey time, calculate Go out the total time T that daily dispatching work items are completedAlways
TAlways=∑ fn×hn, n=1,2,3 ... i;Wherein TAlways:The total time that daily dispatching work items are completed;fn:Event occurs The frequency;hn:Event completes average time;
3. the effective time T worked for each person every day is calculatedEffectively
4. the rest coefficient A of research object is calculated according to formula A=working times/(working time-time of having a rest);
5. according to formulaCalculating should compile number of work, wherein, N:Number of work should be compiled;TAlways:When working total daily Number;TEffectively:Work hours for each person every day;A:Rest coefficient;
6. service bearer power, wherein l are calculated according to formula l=Nn*100%:Service bearer power, N:Number of work, n should be compiled:It is existing Number of work;
7. service bearer power analysis is carried out;
As service bearer power l>When 100%, now work bearing capacity overload;
As service bearer power l<When 100%, the bearing capacity that now works is lighter;
As service bearer power l=100%, the bearing capacity that now works matching.
2. a kind of method that power regulation center service bearing capacity is assessed based on work-hour measurement as claimed in claim 1, its It is characterised by:The research object is that the order of classes or grades at school personnel selected include from the representative order of classes or grades at school of power regulation central draw Regulation and control are long, on the occasion of, secondary value, and some of the staff possess certain operation technical ability and academic title, and the post of measurement includes responsibility day shift, duty Appoint night shift, standby class.
3. a kind of method that power regulation center service bearing capacity is assessed based on work-hour measurement as claimed in claim 1, its It is characterised by:The dispatching work items are divided into some specific works and carry out subitem statistics respectively.
4. a kind of method that power regulation center service bearing capacity is assessed based on work-hour measurement as claimed in claim 1, its It is characterised by:The minute is two months.
5. a kind of method that power regulation center service bearing capacity is assessed based on work-hour measurement as claimed in claim 1, its It is characterised by:The effective time T worked for each person every dayEffectivelyComputational methods be:
A. according to the computational methods of national grid talent's equal yield density, talent equal yield density x ∈ (0,1.4) are obtained;
B. according to the scientific management theory of not Lay Derek Taylor, staff at work because having a meal, drink water, go to toilet and The time that energy does not collect the consumption of medium factor is about the 17% of the theoretical work time, according to eight hours of average work daily The system of labour power employment, drawing averagely daily scheduling, everyone can dominate work total time and is:T=(1-17%) * 8*60=398 (min);
C. by curve matching, T is obtainedEffectively=T*ln (x+1.3), wherein x ∈ (0,1.4), y ∈ (0,398).
6. a kind of method that power regulation center service bearing capacity is assessed based on work-hour measurement as claimed in claim 1, its It is characterised by:The time of having a rest computational methods are:
Time of having a rest=weekend+festivals or holidays+annual leave on general holiday+disease, thing, wedding, production, home leave.
7. a kind of method that power regulation center service bearing capacity is assessed based on work-hour measurement as claimed in claim 5, its It is characterised by:The number of work N that should compile is with talent's equal yield density relation:Wherein x ∈ (0, 1.4)。
CN201710469613.3A 2017-06-20 2017-06-20 A kind of method that power regulation center service bearing capacity is assessed based on work-hour measurement Pending CN107230025A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710469613.3A CN107230025A (en) 2017-06-20 2017-06-20 A kind of method that power regulation center service bearing capacity is assessed based on work-hour measurement

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710469613.3A CN107230025A (en) 2017-06-20 2017-06-20 A kind of method that power regulation center service bearing capacity is assessed based on work-hour measurement

Publications (1)

Publication Number Publication Date
CN107230025A true CN107230025A (en) 2017-10-03

Family

ID=59934970

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710469613.3A Pending CN107230025A (en) 2017-06-20 2017-06-20 A kind of method that power regulation center service bearing capacity is assessed based on work-hour measurement

Country Status (1)

Country Link
CN (1) CN107230025A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110969402A (en) * 2018-09-29 2020-04-07 欧姆龙(上海)有限公司 Standard man-hour measuring device, method and electronic equipment

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110969402A (en) * 2018-09-29 2020-04-07 欧姆龙(上海)有限公司 Standard man-hour measuring device, method and electronic equipment

Similar Documents

Publication Publication Date Title
Gomes Computational sustainability: Computational methods for a sustainable environment, economy, and society
CN109272245A (en) The real-time auto-allocation method of step power station floodgate aperture and system
CN102063563B (en) Network-province-local integrative bus load predicting method
CN109978293A (en) A kind of multitask smart shift scheduling method, apparatus, equipment and storage medium
CN106844594A (en) A kind of electric power Optimal Configuration Method based on big data
CN104751269A (en) Engineering maintenance scheduling management system
CN105893158A (en) Big data hybrid scheduling model on private cloud condition
CN102750654A (en) Power dispatching information disclosure platform for large power grid
CN110443401A (en) A kind of Optimization Scheduling of smart grid
CN104753068B (en) Two-way interaction load scheduling system
CN104077651B (en) Maintenance scheduling for power systems optimization method
CN106251052A (en) The county&#39;s grid power blackout management and control of a kind of ground and analysis decision plateform system
CN108183869A (en) A kind of electric quantity data acquisition system based on Distributed Message Queue
CN106600240A (en) Power grid regulation and control and operation management system of power supply enterprise based on big data lean assistance
CN110378510B (en) Distribution network material demand prediction method based on time sequence and hierarchical aggregation
CN111199354A (en) Hopfield neural network-based power communication network operation and maintenance work order scheduling method
CN108268973A (en) Uncertain two benches chance constraint low-carbon electric power Method for optimized planning
CN101867226A (en) Wide-area distribution type data collection method for dispatching automation system
CN106779442A (en) Have a power failure the generation method and device planned
CN103956732B (en) A kind of method of carrying out associating power supply based on the average peak-valley ratio of industry
Von Lucken et al. Pump scheduling optimization using asynchronous parallel evolutionary algorithms
CN107230025A (en) A kind of method that power regulation center service bearing capacity is assessed based on work-hour measurement
CN109711621A (en) The industrial park load forecasting method combined based on discriminant analysis and support vector machines
CN107274135A (en) The raw tobacco material overall planning method and system shared based on cooperative information
CN108196493A (en) A kind of wisdom water utilities control system and method based on cloud platform

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20171003

RJ01 Rejection of invention patent application after publication