CN106529782A - Electric power emergency goods and materials comprehensive guarantee analysis and management platform and calculation method - Google Patents

Electric power emergency goods and materials comprehensive guarantee analysis and management platform and calculation method Download PDF

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Publication number
CN106529782A
CN106529782A CN201610945477.6A CN201610945477A CN106529782A CN 106529782 A CN106529782 A CN 106529782A CN 201610945477 A CN201610945477 A CN 201610945477A CN 106529782 A CN106529782 A CN 106529782A
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module
disaster
condition
resource
materials
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CN201610945477.6A
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Inventor
王竹君
陈珏伊
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Guiyang Power Supply Bureau Guizhou Power Grid Co ltd
Guiyang Power Supply Bureau of Guizhou Power Grid Co Ltd
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Guiyang Power Supply Bureau Guizhou Power Grid Co ltd
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Priority to CN201610945477.6A priority Critical patent/CN106529782A/en
Publication of CN106529782A publication Critical patent/CN106529782A/en
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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
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • 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
    • 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
    • G06Q50/10—Services
    • G06Q50/26—Government or public services

Abstract

The present invention discloses an electric power emergency goods and materials comprehensive guarantee analysis and management platform and a calculation method. The electric power emergency goods and materials comprehensive guarantee analysis and management platform comprises a resource base module 100, a case base module 200, a disaster situation modeling analysis module 300, a resource demand estimation module 400, a resource allocation module 500, a resource space configuration module 600, a resource guarantee analysis module 700 and a front-end display control module 800, and is characterized in that the resource base module 100 is connected with the disaster situation modeling analysis module 300, the resource space configuration module 600 and the resource guarantee analysis module 700 separately, the case base module 200 is connected with the disaster situation modeling analysis module 300 and the resource guarantee analysis module 700 separately, and the front-end display control module 800 is connected with the disaster situation modeling analysis module 300, the resource demand estimation module 400, the resource allocation module 500, the resource space configuration module 600 and the resource guarantee analysis module 700 separately. According to the present invention, the efficiency effects of solving the repeated reserve and insufficient reserve in the emergency goods and materials reserve, and improving the emergency resource guarantee, are realized.

Description

A kind of power emergency goods and materials comprehensive coverage analysis and management platform and computational methods
Technical field
The present invention relates to a kind of comprehensive coverage analysis is comprehensive with management platform and algorithm, more particularly to a kind of power emergency goods and materials Close and ensure analysis and management platform and computational methods, belong to electric power material management field.
Background technology
The emergent subject lack material information of power grid enterprises of the current country is shared, and stockpile is in kind, quantity or heavy Multiple redundancy or shortage, do not form complementation, cause overall assurance coefficient to decline and fund waste.At present, the emergent thing of Guiyang Power Supply Bureau Money deposit system is gradually perfect, and emergency materials deposit reaches certain scale, prefecture-level above unit emergency materials reserve storage storage For various goods and materials such as the disaster relief, repairing Work tool, electrical network restoring material and equipment；Deposit and management system are further perfect, build It is vertical perfected emergency materials allotment arrangement, buying warehouse-in, it is emergent allot, the management system of the overall process such as assets disposal.Electrical network is public During the major natural disasters such as reply heavy rain, flood, frost, forest fire, emergency materials supply is in time, and fully sends out for department Security function is waved.
With the development that emergency repair works, the species sum for how optimizing emergency materials deposit is also further proposed Amount, further perfects quick, flexible, effective emergency materials accumulating and dispenses mechanism；Strengthen emergency materials care and maintenance, reinforcing Cancelling stocks filing management；The backlog control level of IT application is improved, emergency materials coordination linkage is set up and is alloted mechanism, further compacting should Anxious material stock basis, it is the problem that there is currently to lift supportability.
The content of the invention
The technical problem to be solved in the present invention be to provide a kind of analysis of power emergency goods and materials comprehensive coverage and management platform and Computational methods, it is emergent using how a kind of analysis of power emergency goods and materials comprehensive coverage and management platform and computational methods solution optimize The type and quantity of material stock, further perfect quick, flexible, effective emergency materials accumulating and dispense mechanism；Strengthen emergent Goods and materials care and maintenance, strengthens cancelling stocks filing management；The backlog control level of IT application is improved, emergency materials coordination linkage tune is set up The mechanism of dialling, further tamps emergency materials deposit basis, lifts the problem of supportability.
The technical solution used in the present invention is that a kind of power emergency goods and materials comprehensive coverage is analyzed and management platform, including resource 100 module of storehouse, case library module 200, the condition of a disaster modeling analysis module 300, resource requirement estimation block 400, resource allocation module 500th, Spacial allocation of resources module 600, resource guarantee analysis module 700 and front end show control module 800, it is characterised in that： Described 100 module of resources bank respectively with the condition of a disaster modeling analysis module 300, Spacial allocation of resources module 600 and resource guarantee Analysis module 700 connects；Case library module 200 respectively with the condition of a disaster modeling analysis module 300 and resource guarantee analysis module 700 Connection；Front end shows that control module 800 is adjusted with the condition of a disaster modeling analysis module 300, resource requirement estimation block 400, resource respectively Connect with module 500, Spacial allocation of resources module 600 and resource guarantee analysis module 700.
Described front end shows that control module 800 includes Android device and PC computer desktop terminals.
Its computational methods is：
The first step, set up model；Its mathematical model expression formula is：
F1X11+……+FnX1n=Y1；
F1X21+……+FnX2n=Y2；
F1Xm1+……+FnXmn=Ym；
In formula：X1Represent the condition of a disaster type, X2Represent Disaster Grade, X3Represent response grade, X4Represent wind-force, X5Represent rainfall Amount, X6Represent main transformer capacity, X7Represent prior year power consumption；With XmnRepresent normalization of n-th factor in the condition of a disaster m that oneself knows Value, and FnRepresent impact coefficient of n-th factor to demand, YmRepresent the actual goods and materials usage quantity of history the condition of a disaster m；
Second step, from integrated material Management System and related service department collection historical data formed case library, with point The various response grades of analysis, the material requirements quantity survey (surveying) value of disaster loss grade the condition of a disaster；
3rd step, the actual goods and materials usage quantity to history the condition of a disaster, disaster characteristics, the condition of a disaster type, Disaster Grade, response etc. Level, wind-force, rainfall, the main transformer capacity of current region and prior year power consumption carry out data prediction；
4th step, the actual goods and materials to history the condition of a disaster carry out the normalized of range transformation method using data；
5th step, ensure that the relativeness between each demand is constant by above step pretreatment, and demand Value is converted into the numerical value in 0～1 interval, by all normalization of the quantity required of all goods and materials between 0～1；
6th step, will analyze the condition of a disaster basic condition include the condition of a disaster type, Disaster Grade, response grade, wind-force, rainfall Amount, the main transformer capacity of current region and prior year power consumption substitute into multiple regression mathematical model, and the Y value for solving is material requirements Quantity survey (surveying) value.
Described normalized, its mathematic(al) representation is：
In formula：YnThe demand factor after normalization is represented, MAX is the maximum in history, and MIN is the minimum in history Value, XnRepresent the requirements of current goods and materials in n-th history the condition of a disaster.
Using technical scheme, by setting up resource essential information storehouse, including material information, warehouse information, storehouse Information is deposited, is ensured that analysis provides support data for resource comprehensive, there is provided material information, the Excel import features of inventory information, is carried For dispensing distance and the configuration feature of time between warehouse coordinate, each warehouse；Case library module 200 is set up for comprehensive coverage The support data of analysis, including emergency event (the condition of a disaster) information, the emergency resources usage record of event (the condition of a disaster), there is provided Excel Import feature, there is provided according to condition screening function, facilitates user's garbled data；The condition of a disaster modeling analysis module 300 includes that the condition of a disaster is damaged Two big function of probabilistic forecasting and analysis on damage, by the historical data for transferring case library module 200, analyzes the history of various the condition of a disasters Frequency, frequency, equispaced, last time time of origin, so as to a prediction is made to the probability of happening in the current year；Together When by transferring case library historical data, using multiple regression analysis algorithm to it is various response grades, disaster loss grade the condition of a disaster enter Row analysis, draws the estimated value of the species and usage quantity of each warehouse emergency resources, is that the deposit of the warehouse emergency resources is carried For the foundation of aid decision, resource requirement estimation block 400：It is divided with reference to 300 analysis on damage instrument of the condition of a disaster modeling analysis module The result of precipitation, there is provided the adjustment function to calculation of natural resources value of meeting an urgent need, forms the resource requirement scheme in each concrete warehouse；Resource Scheduling module 500：Call in goods and materials storehouse 100 path planning algorithm of Baidu map to the allotment time between each warehouse, Distance is configured, in 500 module of resource allocation module, in the resource requirement scheme of resource requirement estimation block 400 The actual demand amount of all kinds of goods and materials, analyzes its physical holding of stock in each warehouse, therefrom selects stock to meet demand and allotment Time most short warehouse saves as resource allocation scheme；Spacial allocation of resources module 600：When answering urgent thing in certain regional extent During part, by the spatial distribution of the current emergency resources demand point of analysis, resource requirement number of species, and the sky in material stock storehouse Between distribution, inventories, select rational temporary storage storehouse, as the coordination reloading point to each emergency resources demand point, with Emergency resources are enable timely to provide safeguard to each emergency resources demand point；Resource guarantee analysis module 700：By to case The analysis of example storehouse historical data, draws the service condition of the main goods and materials in each warehouse, including annual usage amount, maximum use These analysis results are multiplied by a radix, draw resources reserve scheme by amount, minimum usage amount etc.；Front end shows control module The result of 800 modules analysis, most shows in front end display module at last.
The front end of the present invention shows that control module 800 includes Android device and PC computer desktop terminals, utilizes Android device and PC computer desktops terminal can on mobile device or PC real-time query related data.
The present invention solves existing emergency resources deposit defect such as under-reserve or repeats deposit etc., there is provided the condition of a disaster damages probability Prediction and analysis on damage instrument, emergency resources estimated demand, emergency resources allotment, Spacial allocation of resources etc., it is to avoid emergency materials Repeatedly lay in and under-reserve in deposit, improve the efficiency effect that emergency resources are ensured.
Description of the drawings
Fig. 1 is present system schematic diagram figure；
Fig. 2 is inventive algorithm flow chart.
Specific embodiment
The present invention is described further to combining accompanying drawing below.
As shown in Fig. 1～2, a kind of power emergency goods and materials comprehensive coverage is analyzed and management platform, including 100 mould of resources bank Block, case library module 200, the condition of a disaster modeling analysis module 300, resource requirement estimation block 400, resource allocation module 500, resource Space configuration module 600, resource guarantee analysis module 700 and front end show control module 800, it is characterised in that：Described money 100 module of source storehouse respectively with the condition of a disaster modeling analysis module 300, Spacial allocation of resources module 600 and resource guarantee analysis module 700 connections；Case library module 200 is connected with the condition of a disaster modeling analysis module 300 and resource guarantee analysis module 700 respectively；Before End show control module 800 respectively with the condition of a disaster modeling analysis module 300, resource requirement estimation block 400, resource allocation module 500th, Spacial allocation of resources module 600 and resource guarantee analysis module 700 connect.
Above-mentioned technical proposal according to the present invention carries out the connection of all parts, on PC and Android device equipment Application software needed for installing, then in PC by setting up resource essential information storehouse, including material information, warehouse information, For resource comprehensive, inventory information, ensures that analysis provides support data, there is provided material information, the Excel import features of inventory information, Dispensing distance and the configuration feature of time between warehouse coordinate, each warehouse is provided；Case library module 200 is set up for comprehensive guarantor The support data of barrier analysis, including emergency event (the condition of a disaster) information, the emergency resources usage record of event (the condition of a disaster), there is provided Excel import features, there is provided according to condition screening function, facilitate user's garbled data；The condition of a disaster modeling analysis module 300 includes the condition of a disaster Infringement two big function of probabilistic forecasting and analysis on damage, by the historical data for transferring case library module 200, analyzes various the condition of a disasters History frequency, frequency, equispaced, last time time of origin, it is pre- so as to one is made to the probability of happening in the current year Survey；Simultaneously by transferring case library historical data, using multiple regression analysis algorithm to various response grades, the calamity of disaster loss grade Feelings are analyzed, and draw the estimated value of the species and usage quantity of each warehouse emergency resources, are the storage of the warehouse emergency resources The foundation of standby provided auxiliary decision-making, resource requirement estimation block 400：With reference to 300 analysis on damage instrument of the condition of a disaster modeling analysis module The result for being analyzed, there is provided the adjustment function to calculation of natural resources value of meeting an urgent need, forms the resource requirement scheme in each concrete warehouse； Resource allocation module 500：The path planning algorithm of Baidu map is called in goods and materials storehouse 100 to during allotment between each warehouse Between, distance configured, in 500 module of resource allocation module, for the resource requirement scheme of resource requirement estimation block 400 In all kinds of goods and materials actual demand amount, analyze its physical holding of stock in each warehouse, therefrom select stock meet demand and tune Resource allocation scheme is saved as with time most short warehouse；Spacial allocation of resources module 600：It is emergent when occurring in certain regional extent During event, by the spatial distribution of the current emergency resources demand point of analysis, resource requirement number of species, and material stock storehouse Spatial distribution, inventories, select rational temporary storage storehouse, as the coordination reloading point to each emergency resources demand point, So that emergency resources timely can provide safeguard to each emergency resources demand point；Resource guarantee analysis module 700：By right The analysis of case library historical data, draws the service condition of the main goods and materials in each warehouse, including annual usage amount, maximum use These analysis results are multiplied by a radix, draw resources reserve scheme by amount, minimum usage amount etc.；Front end shows control module The result of 800 modules analysis, most shows in front end display module at last.
Calculating in experimentation is comprised the following steps：
The first step, set up model；Its mathematical model expression formula is：
F1X11+……+FnX1n=Y1；
F1X21+……+FnX2n=Y2；
F1Xm1+……+FnXmn=Ym；
In formula：X1Represent the condition of a disaster type, X2Represent Disaster Grade, X3Represent response grade, X4Represent wind-force, X5Represent rainfall Amount, X6Represent main transformer capacity, X7Represent prior year power consumption；With XmnRepresent normalization of n-th factor in the condition of a disaster m that oneself knows Value, and FnRepresent impact coefficient of n-th factor to demand, YmRepresent the actual goods and materials usage quantity of history the condition of a disaster m；
Second step, from integrated material Management System and related service department collection historical data formed case library, with point The various response grades of analysis, the material requirements quantity survey (surveying) value of disaster loss grade the condition of a disaster；
3rd step, the actual goods and materials usage quantity to history the condition of a disaster, disaster characteristics, the condition of a disaster type, Disaster Grade, response etc. Level, wind-force, rainfall, the main transformer capacity of current region and prior year power consumption carry out data prediction；
4th step, the actual goods and materials to history the condition of a disaster carry out the normalized of range transformation method using data；
5th step, ensure that the relativeness between each demand is constant by above step pretreatment, and demand Value is converted into the numerical value in 0～1 interval, by all normalization of the quantity required of all goods and materials between 0～1；
6th step, will analyze the condition of a disaster basic condition include the condition of a disaster type, Disaster Grade, response grade, wind-force, rainfall Amount, the main transformer capacity of current region and prior year power consumption substitute into multiple regression mathematical model, and the Y value for solving is material requirements Quantity survey (surveying) value.
Described normalized, its mathematic(al) representation is：
In formula：YnThe demand factor after normalization is represented, MAX is the maximum in history, and MIN is the minimum in history Value, XnRepresent the requirements of current goods and materials in n-th history the condition of a disaster.
The present invention solves existing emergency resources deposit defect such as under-reserve or repeats deposit etc., there is provided the condition of a disaster damages probability Prediction and analysis on damage instrument, emergency resources estimated demand, emergency resources allotment, Spacial allocation of resources etc., it is to avoid emergency materials Repeatedly lay in and under-reserve in deposit, improve the efficiency effect that emergency resources are ensured.

Claims (4)

1. a kind of analysis of power emergency goods and materials comprehensive coverage and management platform, including resource library module 100, case library module 200, The condition of a disaster modeling analysis module 300, resource requirement estimation block 400, resource allocation module 500, Spacial allocation of resources module 600, Resource guarantee analysis module 700 and front end show control module 800, it is characterised in that：Described 100 module of resources bank respectively with The condition of a disaster modeling analysis module 300, Spacial allocation of resources module 600 and resource guarantee analysis module 700 connect；Case library module 200 are connected with the condition of a disaster modeling analysis module 300 and resource guarantee analysis module 700 respectively；Front end shows 800 points of control module Other and the condition of a disaster modeling analysis module 300, resource requirement estimation block 400, resource allocation module 500, Spacial allocation of resources module 600 and resource guarantee analysis module 700 connect.
2. a kind of power emergency goods and materials comprehensive coverage according to claim 1 is analyzed and management platform, it is characterised in that：Institute The front end stated shows that control module 800 includes Android device and PC computer desktop terminals.
3. a kind of power emergency goods and materials comprehensive coverage is analyzed and management and computational methods, and its computational methods is：
The first step, set up model；Its mathematical model expression formula is：
F1X11+……+FnX1n=Y1；
F1X21+……+FnX2n=Y2；
F1Xm1+……+FnXmn=Ym；
In formula：X1Represent the condition of a disaster type, X2Represent Disaster Grade, X3Represent response grade, X4Represent wind-force, X5Represent rainfall, X6Represent main transformer capacity, X7Represent prior year power consumption；With XmnNormalized value of n-th factor in the condition of a disaster m that oneself knows is represented, And FnRepresent impact coefficient of n-th factor to demand, YmRepresent the actual goods and materials usage quantity of history the condition of a disaster m；
Second step, case library is formed from integrated material Management System and related service department collection historical data, it is each to analyze Plant response grade, the material requirements quantity survey (surveying) value of disaster loss grade the condition of a disaster；
3rd step, the actual goods and materials usage quantity to history the condition of a disaster, disaster characteristics, the condition of a disaster type, Disaster Grade, response grade, Wind-force, rainfall, the main transformer capacity of current region and prior year power consumption carry out data prediction；
4th step, the actual goods and materials to history the condition of a disaster carry out the normalized of range transformation method using data；
5th step, ensure that the relativeness between each demand is constant by above step pretreatment, and the value of demand turns The numerical value in 0～1 interval is turned to, by all normalization of the quantity required of all goods and materials between 0～1；
6th step, will analyze the condition of a disaster basic condition include the condition of a disaster type, Disaster Grade, response grade, wind-force, rainfall, The main transformer capacity of current region and prior year power consumption substitute into multiple regression mathematical model, and the Y value for solving is material requirements number Amount estimated value.
4. a kind of power emergency goods and materials comprehensive coverage according to claim 3 is analyzed and management and computational methods, its feature It is：Described normalized, its mathematic(al) representation is：
Y n = X n - M I N M A X - M I N
In formula：YnThe demand factor after normalization is represented, MAX is the maximum in history, and MIN is the minima in history, Xn Represent the requirements of current goods and materials in n-th history the condition of a disaster.
CN201610945477.6A 2016-11-02 2016-11-02 Electric power emergency goods and materials comprehensive guarantee analysis and management platform and calculation method Pending CN106529782A (en)

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CN109086900A (en) * 2018-08-31 2018-12-25 贵州电网有限责任公司都匀供电局 Power Material guarantee and deployment platform based on multi-objective particle
CN110276473A (en) * 2019-05-22 2019-09-24 中国辐射防护研究院 A kind of optimization method and system of fcf emergency resources
CN112766844A (en) * 2021-01-05 2021-05-07 国网安徽省电力有限公司 Multi-level guarantee deployment method based on networked system
CN112926854A (en) * 2021-02-24 2021-06-08 贵州电网有限责任公司 Distribution network emergency material demand reporting method based on data intelligent perception
CN113888039A (en) * 2021-10-29 2022-01-04 江苏天汇空间信息研究院有限公司 Intelligent water affair comprehensive information management system based on big data

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CN105787587A (en) * 2016-02-26 2016-07-20 海南电网有限责任公司 Power system emergency material demand prediction method based on multiple regressions
CN105868839A (en) * 2016-02-26 2016-08-17 海南电网有限责任公司 Emergency material reservation optimization system

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CN102110250A (en) * 2009-12-29 2011-06-29 中国科学院合肥物质科学研究院 Method for optimizing and determining disaster-reduction decision scheme
US20160196513A1 (en) * 2013-06-26 2016-07-07 Climate Risk Pty Ltd Computer implemented frameworks and methodologies for enabling climate change related risk analysis
CN105787587A (en) * 2016-02-26 2016-07-20 海南电网有限责任公司 Power system emergency material demand prediction method based on multiple regressions
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Publication number Priority date Publication date Assignee Title
CN109086900A (en) * 2018-08-31 2018-12-25 贵州电网有限责任公司都匀供电局 Power Material guarantee and deployment platform based on multi-objective particle
CN109086900B (en) * 2018-08-31 2021-06-01 贵州电网有限责任公司都匀供电局 Electric power material guarantee and allocation platform based on multi-target particle swarm optimization algorithm
CN110276473A (en) * 2019-05-22 2019-09-24 中国辐射防护研究院 A kind of optimization method and system of fcf emergency resources
CN112766844A (en) * 2021-01-05 2021-05-07 国网安徽省电力有限公司 Multi-level guarantee deployment method based on networked system
CN112926854A (en) * 2021-02-24 2021-06-08 贵州电网有限责任公司 Distribution network emergency material demand reporting method based on data intelligent perception
CN112926854B (en) * 2021-02-24 2024-03-29 贵州电网有限责任公司 Distribution network emergency material demand reporting method based on data intelligent perception
CN113888039A (en) * 2021-10-29 2022-01-04 江苏天汇空间信息研究院有限公司 Intelligent water affair comprehensive information management system based on big data
CN113888039B (en) * 2021-10-29 2022-07-15 江苏天汇空间信息研究院有限公司 Intelligent water affair comprehensive information management system and method based on big data

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Application publication date: 20170322