CN110210676A - The long-term prediction of situation method and system of transmission line forest fire - Google Patents

The long-term prediction of situation method and system of transmission line forest fire Download PDF

Info

Publication number
CN110210676A
CN110210676A CN201910491610.9A CN201910491610A CN110210676A CN 110210676 A CN110210676 A CN 110210676A CN 201910491610 A CN201910491610 A CN 201910491610A CN 110210676 A CN110210676 A CN 110210676A
Authority
CN
China
Prior art keywords
fire
long
situation
transmission line
term prediction
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
CN201910491610.9A
Other languages
Chinese (zh)
Inventor
陆佳政
郭俊
简洲
王波
徐勋建
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.)
State Grid Corp of China SGCC
State Grid Hunan Electric Power Co Ltd
Disaster Prevention and Mitigation Center of State Grid Hunan Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
State Grid Hunan Electric Power Co Ltd
Disaster Prevention and Mitigation Center of State Grid Hunan 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 State Grid Corp of China SGCC, State Grid Hunan Electric Power Co Ltd, Disaster Prevention and Mitigation Center of State Grid Hunan Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201910491610.9A priority Critical patent/CN110210676A/en
Publication of CN110210676A publication Critical patent/CN110210676A/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
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • 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
    • 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
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • G06Q50/265Personal security, identity or safety

Landscapes

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

Abstract

The present invention relates to electrical engineering technical fields, disclose a kind of long-term prediction of situation method and system of transmission line forest fire, and the long-term prediction of situation of mountain fire to realize transmission line of electricity provides important scientific basis to formulate reasonable mountain fire diaster prevention and control planning;The method comprise the steps that collecting the mountain fire fire point information and the corresponding meteorological element data of mountain fire fire point information of historical years;Using correlation analysis, several crucial meteorological element data with mountain fire fire point information strong correlation are filtered out from meteorological element data;The long-term prediction of situation model of mountain fire is obtained according to mountain fire fire point information and crucial meteorological element data, according to the long-term long-term prediction of situation of prediction of situation model realization transmission line forest fire of mountain fire.

Description

The long-term prediction of situation method and system of transmission line forest fire
Technical field
The present invention relates to electrical engineering technical field more particularly to a kind of long-term prediction of situation method of transmission line forest fire and System.
Background technique
Mountain fire disaster is to influence one of the most important disaster of electric power netting safe running in recent years, with UHV transmission line Large scale construction and put into operation, the requirement to mountain fire diaster prevention and control is higher and higher.But existing mountain fire diaster prevention and control system is also Current needs can not be adapted to, there is an urgent need to carry out the Secular Variation Tendency prediction of transmission line forest fire generation, instruct configuration section Mountain fire diaster prevention and control planning system.Currently, in terms of mountain fire hazard prediction, the main spatial and temporal distributions rule by analysis mountain fire Rule carries out correlation predictive to mountain fire density middle or short term, less to mountain fire long-term prediction of situation aspect research, it is difficult to effective guidance system Fixed reasonable mountain fire control program.
Therefore, how to realize that the long-term prediction of situation of the mountain fire of transmission line of electricity becomes a urgent problem.
Summary of the invention
It is an object of that present invention to provide a kind of long-term prediction of situation method and system of transmission line forest fire, to realize power transmission line The long-term prediction of situation of the mountain fire on road provides important scientific basis to formulate reasonable mountain fire diaster prevention and control planning.
To achieve the above object, the present invention provides a kind of long-term prediction of situation method of transmission line forest fire, including it is following Step:
S1: the mountain fire fire point information and the corresponding meteorological element data of mountain fire fire point information of historical years are collected;
S2: correlation analysis is used, is filtered out from the meteorological element data and mountain fire fire point information strong correlation Several crucial meteorological element data;
S4: the long-term prediction of situation mould of mountain fire is obtained according to the mountain fire fire point information and the crucial meteorological element data Type, according to the long-term long-term prediction of situation of prediction of situation model realization transmission line forest fire of the mountain fire.
Preferably, it after the step S2, further comprises the steps of:
S3: the mountain fire fire point information and the crucial meteorological element data are pre-processed.
Preferably, the pretreatment is normalized.
Preferably, the calculation formula of the normalized are as follows:
In formula, FiNormalized element, S are needed for i-thiFor the element after i-th of normalization, min (Fi) it is i-th The minimum value of element, max (Fi) be i-th of element maximum value.
Preferably, the meteorological element data include one of precipitation, temperature, atmospheric circulation, typhoon or any several The combination of kind.
As a general technical idea, the present invention also provides a kind of long-term prediction of situation system of transmission line forest fire, packets The computer program that includes memory, processor and storage on a memory and can run on a processor, the processor are held The step of realizing the above method when row computer program.
The invention has the following advantages:
The present invention provides a kind of long-term prediction of situation method and system of transmission line forest fire, by transmission line of electricity history year The mountain fire fire point information meteorological element data corresponding with the mountain fire fire point information of part are excavated, and the mountain of transmission line of electricity is able to achieve The long-term prediction of situation of fire provides important scientific basis to formulate reasonable mountain fire diaster prevention and control planning.
Below with reference to accompanying drawings, the present invention is described in further detail.
Detailed description of the invention
The attached drawing constituted part of this application is used to provide further understanding of the present invention, schematic reality of the invention It applies example and its explanation is used to explain the present invention, do not constitute improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is the long-term prediction of situation method flow diagram of transmission line forest fire of the preferred embodiment of the present invention;
Fig. 2 is mountain fire fire point quantity distribution map of certain province in historical years of the preferred embodiment of the present invention.
Specific embodiment
The embodiment of the present invention is described in detail below in conjunction with attached drawing, but the present invention can be defined by the claims Implement with the multitude of different ways of covering.
Embodiment 1
As shown in Figure 1, the present embodiment provides a kind of long-term prediction of situation methods of transmission line forest fire, comprising the following steps:
S1: the mountain fire fire point information and the corresponding meteorological element data of mountain fire fire point information of historical years are collected;
S2: correlation analysis is used, if filtering out from meteorological element data and mountain fire fire point information strong correlation Dry crucial meteorological element data;
S4: the long-term prediction of situation model of mountain fire is obtained according to mountain fire fire point information and crucial meteorological element data, according to mountain The long-term prediction of situation of fiery long-term prediction of situation model realization transmission line forest fire.
The long-term prediction of situation method of above-mentioned transmission line forest fire is believed by the mountain fire fire point to transmission line of electricity historical years It ceases meteorological element data corresponding with the mountain fire fire point information to be excavated, the long-term situation of mountain fire for being able to achieve transmission line of electricity is pre- It surveys, provides important scientific basis to formulate reasonable mountain fire diaster prevention and control planning.
As the present embodiment preferred embodiment, after step S2, further comprise the steps of:
S3: mountain fire fire point information and crucial meteorological element data are pre-processed.In the present embodiment, pre-process as normalizing Change processing.
In the present embodiment, meteorological element data include one of precipitation, temperature, atmospheric circulation, typhoon or any several The combination of kind.It should be noted that the present embodiment does not limit meteorological element data specifically, and herein, merely illustrative theory It is bright.
Specifically, by taking certain is saved as an example, firstly, collecting the mountain fire fire point incremental data of province's historical years, and and mountain fire A variety of meteorological element data such as relevant precipitation, temperature, atmospheric circulation, typhoon occur, wherein the mountain fire fire points of historical years Amount distribution is as shown in Figure 2.
Further, using correlation analysis, several preceding crucial meteorologies relevant to mountain fire fire point quantity are screened Element;Analysis finds that meteorological element relevant to mountain fire mainly has annual precipitation, the temperature on average of high-incidence season, landfall typhoon quantity Deng.And all crucial meteorological elements and mountain fire fire point quantity are normalized, calculation formula is as follows:
In formula, FiNormalized element, S are needed for i-thiFor the element after i-th of normalization, min (Fi) it is i-th The minimum value of element, max (Fi) be i-th of element maximum value.
Then deep neural network model is used, year mountain fire fire point quantity long-term prediction model is established;Using prediction model The mountain fire fire point quantity of prediction 2015 is 8900, it is proposed that planning increases anti-mountain fire measure.
Embodiment 2
With above method embodiment correspondingly, the present embodiment provides a kind of long-term prediction of situation systems of transmission line forest fire System including memory, processor and stores the computer program that can be run on a memory and on a processor, the processing The step of device realizes the above method when executing the computer program.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.

Claims (6)

1. a kind of long-term prediction of situation method of transmission line forest fire, which comprises the following steps:
S1: the mountain fire fire point information and the corresponding meteorological element data of mountain fire fire point information of historical years are collected;
S2: correlation analysis is used, if filtering out from the meteorological element data and mountain fire fire point information strong correlation Dry crucial meteorological element data;
S4: the long-term prediction of situation model of mountain fire, root are obtained according to the mountain fire fire point information and the crucial meteorological element data According to the long-term long-term prediction of situation of prediction of situation model realization transmission line forest fire of the mountain fire.
2. according to the long-term prediction of situation method of transmission line forest fire described in claim 1, which is characterized in that the step After S2, further comprise the steps of:
S3: the mountain fire fire point information and the crucial meteorological element data are pre-processed.
3. the long-term prediction of situation method of transmission line forest fire according to claim 2, which is characterized in that the pretreatment is Normalized.
4. the long-term prediction of situation method of transmission line forest fire according to claim 3, which is characterized in that at the normalization The calculation formula of reason are as follows:
In formula, FiNormalized element, S are needed for i-thiFor the element after i-th of normalization, min (Fi) it is i-th of element Minimum value, max (Fi) be i-th of element maximum value.
5. the long-term prediction of situation method of transmission line forest fire according to claim 1, which is characterized in that the meteorological element Data include one of precipitation, temperature, atmospheric circulation, typhoon or any several combination.
6. a kind of long-term prediction of situation system of transmission line forest fire, including memory, processor and storage are on a memory simultaneously The computer program that can be run on a processor, which is characterized in that the processor is realized when executing the computer program The step of stating claim 1 to 5 any the method.
CN201910491610.9A 2019-06-06 2019-06-06 The long-term prediction of situation method and system of transmission line forest fire Pending CN110210676A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910491610.9A CN110210676A (en) 2019-06-06 2019-06-06 The long-term prediction of situation method and system of transmission line forest fire

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910491610.9A CN110210676A (en) 2019-06-06 2019-06-06 The long-term prediction of situation method and system of transmission line forest fire

Publications (1)

Publication Number Publication Date
CN110210676A true CN110210676A (en) 2019-09-06

Family

ID=67791427

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910491610.9A Pending CN110210676A (en) 2019-06-06 2019-06-06 The long-term prediction of situation method and system of transmission line forest fire

Country Status (1)

Country Link
CN (1) CN110210676A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110956152A (en) * 2019-12-10 2020-04-03 国网湖南省电力有限公司 Multi-scale analysis method and system for forest fire of power transmission line
CN111027727A (en) * 2019-12-27 2020-04-17 中南大学 Cross-domain operation and maintenance key element identification method for track system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106021666A (en) * 2016-05-10 2016-10-12 四川大学 Mountain fire disaster early-warning method for overhead power transmission line
CN109118001A (en) * 2018-08-09 2019-01-01 成都天地量子科技有限公司 A kind of mountain fire monitoring method and system based on satellite remote sensing date
CN109472396A (en) * 2018-10-17 2019-03-15 四川佳联众合企业管理咨询有限公司 Mountain fire prediction technique based on depth e-learning

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106021666A (en) * 2016-05-10 2016-10-12 四川大学 Mountain fire disaster early-warning method for overhead power transmission line
CN109118001A (en) * 2018-08-09 2019-01-01 成都天地量子科技有限公司 A kind of mountain fire monitoring method and system based on satellite remote sensing date
CN109472396A (en) * 2018-10-17 2019-03-15 四川佳联众合企业管理咨询有限公司 Mountain fire prediction technique based on depth e-learning

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
刘春翔 等: ""基于BP 神经网络的输电线路山火风险评估模型"", 《电力系统保护与控制》 *
陆佳政 等: ""架空输电线路山火预测预警技术"", 《高电压技术》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110956152A (en) * 2019-12-10 2020-04-03 国网湖南省电力有限公司 Multi-scale analysis method and system for forest fire of power transmission line
CN111027727A (en) * 2019-12-27 2020-04-17 中南大学 Cross-domain operation and maintenance key element identification method for track system

Similar Documents

Publication Publication Date Title
CN102629294B (en) Probability evaluation method of failure caused by typhoon to power transmission line
US20170117711A1 (en) Operating a solar power generating system
Zhang et al. Stochastic model predictive control using a combination of randomized and robust optimization
US10509868B2 (en) Operating a solar power generating system
CN104123682A (en) Distribution network fault risk assessment method based on meteorology influence factors
US11689154B2 (en) Systems and methods for distributed-solar power forecasting using parameter regularization
CN111080982A (en) Dam safety intelligent monitoring and early warning system and method based on multiple sensors
KR20190079124A (en) Apparatus and method for predicting lifecycle of power equipment
CN110210676A (en) The long-term prediction of situation method and system of transmission line forest fire
KR102296309B1 (en) Apparatus and method for predicting solar power generation
de Jesús et al. Solar pv power prediction using a new approach based on hybrid deep neural network
CN110390117B (en) Numerical simulation method and system for thunderstorm electrification process
CN111179108A (en) Method and device for predicting power consumption
CN115982953A (en) Method and device for evaluating influence of continuous high temperature on power supply capacity of new energy power grid
CN110210769A (en) A kind of transmission line forest fire sprawling Risk Forecast Method and system
Al-Hilfi et al. Estimating generated power of photovoltaic systems during cloudy days using gene expression programming
CN104820869B (en) A kind of wind power climbing event prediction method of the mechanism containing models switching
CN116611589B (en) Power failure window period prediction method, system, equipment and medium for main network power transmission and transformation equipment
CN110009246B (en) Power transmission line running state evaluation method based on big data portrait technology
CN111967919A (en) System and method for analyzing electricity consumption behavior of residents based on autoregressive and adaptive boosting algorithm
CN116930652A (en) Public building energy consumption monitoring system and energy saving effect monitoring method
CN109948925A (en) Consider the power communication system reliability estimation method that weather influences
CN103473461B (en) Based on the wind power prediction error estimation that data characteristics is extracted
CN116307886A (en) Method and device for monitoring production state of enterprise in real time
KR20200046706A (en) Maintenance Management Method Using Solar Power Generation

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
RJ01 Rejection of invention patent application after publication

Application publication date: 20190906