CN103914951A - Method for natural disaster data information mining and early warning response analysis based on GIS power grid - Google Patents
Method for natural disaster data information mining and early warning response analysis based on GIS power grid Download PDFInfo
- Publication number
- CN103914951A CN103914951A CN201410132886.5A CN201410132886A CN103914951A CN 103914951 A CN103914951 A CN 103914951A CN 201410132886 A CN201410132886 A CN 201410132886A CN 103914951 A CN103914951 A CN 103914951A
- Authority
- CN
- China
- Prior art keywords
- disaster
- power grid
- information
- early warning
- electrical network
- 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
Links
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
Landscapes
- Alarm Systems (AREA)
Abstract
The invention discloses a method for natural disaster data information mining and early warning response analysis based on a GIS power grid. Firstly, disaster information of an earthquake, a flood, a snow disaster, a lightning stroke, a gale, a mountain fire, landslide and mud-rock flow and the like which may happen is received, wherein the disaster information is given by the government in advance; secondly, the analytical hierarchy process, an artificial neural network, a logistic regression method, statistics and other methods are adopted for establishing a multi-relevance composite disaster evaluation model, and all kinds of disaster information in the past is assessed and analyzed; thirdly, analysis and assessment results are compared comprehensively, the example data mining technology is adopted for providing emergency decisions on various emergent disasters; finally, disaster consequences and the emergency decisions are visualized on a key control line of the power grid and equipment. The method assists people in conducting monitoring, early warning and emergency response and management on natural disasters based on the power grid, and therefore damage of the natural disasters to power grid lines and the equipment is reduced.
Description
Technical field
The invention belongs to the data mining of electrical network disaster and early warning response technology field, relate to a kind of based on the excavation of GIS electrical network disaster data message and early warning response analysis method.
Background technology
Electric power is the national pillar energy and lifeblood, simultaneously because network system majority is directly exposed under natural conditions, is subject to environmental factor and Effect of Natural Disaster larger.The generation of all kinds of disasteies is often directly threatening the safe operation of network system, even causes serious electrical network to destroy and large area blackout, and then has influence on people's normal production, life and social stablizing.
In recent years, along with all kinds of natural disaster monitoring systems of electrical network constantly occur, having accumulated a large amount of on-the-spot historical datas, is that electric power netting safe running provides support and seems very important but how to excavate and analyze these monitor datas.
Therefore, excavate and early warning response analysis based on GIS electrical network disaster data message, can accurate and effective extract all kinds of disaster informations to electric network influencing, adopt example data digging technology to mate corresponding Disposal Measures simultaneously, for the catastrophe impact that reduces and prevent natural disaster on network system, and guarantee that its safety, stable operation have important meaning.
Summary of the invention
The object of the present invention is to provide a kind of based on the excavation of GIS electrical network disaster data message and early warning response analysis method, auxiliary people carry out monitoring, early warning, the emergency response management work of electrical network disaster, thereby reduce the loss that disaster is brought to power network line and equipment.
The problem to be solved in the present invention is achieved by the following technical solution.
Excavate and early warning response analysis method based on GIS electrical network disaster data message, the present invention includes following steps:
The first step accesses government and provides in advance contingent disaster information in generalized information system;
Second step is set up how associated compound Hazard Assessment model the disaster information in the past occurring is carried out to analysis and assessment in generalized information system, and comprehensive government's forecast information and comprehensive historical data analysis result provide possibility and the loss that electrical network disaster occurs;
The 3rd step, based on the analysis result of second step, exemplary applications data mining technology is found out the emergent successful measure of disaster was occurred in the past from case library, provides emergency response decision-making technic to the possibility and the loss that occur electrical network disaster;
The 4th step is finally carried out visual by disaster consequence and emergent decision-making on generalized information system platform on electrical network emphasis management and control circuit and facility information.
First, accept government and provide in advance the disaster informations such as contingent earthquake, flood, snow disaster, thunderbolt, strong wind, mountain fire, landslide; Adopt the methods such as step analysis, artificial neural network, logistic recurrence, statistic to set up how associated compound Hazard Assessment model to historical data analysis; Comprehensive above analysis result provides possibility and the loss that certain disaster occurs.
On this basis, application data digging technology is found out the successful measure of calamity emergency was occurred in the past from case library, provides emergency response decision-making technic to the possibility and the loss that occur all kinds of disasters, is convenient to carry out fast emergency repair work.
Finally, by the organic GIS of the being dissolved into platform of relevant art submodule for supporting all kinds of disasteies of excavation, and show that disaster may cover electrical network key line and equipment, and be convenient to departments at different levels and carry out fast emergency, reduce the loss that disaster is brought to electrical network.
The invention has the beneficial effects as follows, provide in advance contingent all kinds of disaster information by accepting government; Adopt how associated compound Hazard Assessment model to historical data analysis, comprehensive government's forecast information and comprehensive historical data analysis result provide possibility and the loss that certain disaster occurs; From case library, find out the successful measure of calamity emergency occurred in the past, on generalized information system platform, show that disaster may cover electrical network key line and equipment, be convenient to carry out fast emergency repair work.
Accompanying drawing explanation
Fig. 1 is general illustration of the present invention;
Fig. 2 is example data digging technology schematic flow sheet of the present invention.
Embodiment
Below in conjunction with accompanying drawing, content of the present invention is described in further detail.
Excavate and early warning response analysis method based on GIS electrical network disaster data message, the present invention includes following steps:
The first step accesses government and provides in advance contingent disaster information in generalized information system;
Second step is set up how associated compound Hazard Assessment model the disaster information in the past occurring is carried out to analysis and assessment in generalized information system, and comprehensive government's forecast information and comprehensive historical data analysis result provide possibility and the loss that electrical network disaster occurs;
The 3rd step, based on the analysis result of second step, exemplary applications data mining technology is found out the emergent successful measure of disaster was occurred in the past from case library, provides emergency response decision-making technic to the possibility and the loss that occur electrical network disaster;
The 4th step is finally carried out visual by disaster consequence and emergent decision-making on generalized information system platform on electrical network emphasis management and control circuit and facility information.
As shown in Figure 1, provided by the invention based on the excavation of GIS electrical network disaster data message and prewarning analysis system, (1) access government provides contingent earthquake in advance, flood, snow disaster, thunderbolt, strong wind, mountain fire, the disaster informations such as landslide, (2) adopt step analysis, artificial neural network, logistic returns, the methods such as statistic are set up how associated compound Hazard Assessment model historical Various types of data are analyzed, (3) comprehensive government's forecast information and comprehensive historical data analysis result provide possibility and the loss that certain disaster occurs, from case library, find out the successful measure of calamity emergency occurred in the past, (4) on generalized information system platform, show that disaster may cover electrical network key line and equipment, be convenient to carry out fast emergency repair work.
As shown in Figure 2, example data digging technology flow process, in the time running into a new problem, first association processed the experience of Similar Problems in the past, in case library, find out immediate old example with it, again according to corresponding the adjusting of the difference of new situation, thus the way of the new problem that is resolved form new example.Wherein: retrieval: according to problem to be solved for information about, find immediate example collection with it from case library; Reuse: from the one group of example retrieving, obtain method for solving, if completely eligible, directly application, otherwise re-use after revising; Revise: from similar example, revise and solve scheme to be applicable to new problem; Preserve: new example and explanation are deposited in case library according to certain principle.
Claims (1)
1. excavate and early warning response analysis method based on GIS electrical network disaster data message, it is characterized in that, it comprises the following steps:
The first step accesses government and provides in advance contingent disaster information in generalized information system;
Second step is set up how associated compound Hazard Assessment model the disaster information in the past occurring is carried out to analysis and assessment in generalized information system, and comprehensive government's forecast information and comprehensive historical data analysis result provide possibility and the loss that disaster occurs;
The 3rd step, based on the analysis result of second step, exemplary applications data mining technology is found out the emergent successful measure of disaster was occurred in the past from case library, provides emergency response decision-making technic to the possibility and the loss that occur disaster;
The 4th step is finally carried out visual by disaster consequence and emergent decision-making on generalized information system platform on electrical network emphasis management and control circuit and facility information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410132886.5A CN103914951A (en) | 2014-04-03 | 2014-04-03 | Method for natural disaster data information mining and early warning response analysis based on GIS power grid |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410132886.5A CN103914951A (en) | 2014-04-03 | 2014-04-03 | Method for natural disaster data information mining and early warning response analysis based on GIS power grid |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN103914951A true CN103914951A (en) | 2014-07-09 |
Family
ID=51040598
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410132886.5A Pending CN103914951A (en) | 2014-04-03 | 2014-04-03 | Method for natural disaster data information mining and early warning response analysis based on GIS power grid |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103914951A (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104574835A (en) * | 2015-01-30 | 2015-04-29 | 国网河南省电力公司郑州供电公司 | System and method for monitoring and warning disasters of power grids on basis of GIS (geographic information system) |
| CN104835279A (en) * | 2015-06-02 | 2015-08-12 | 国家电网公司 | Method for calculating frequent occurrence period of power transmission line mountain fire alarms |
| CN106651166A (en) * | 2016-12-15 | 2017-05-10 | 中国南方电网有限责任公司电网技术研究中心 | Natural disaster risk processing method and system based on Internet of Things |
| CN107331274A (en) * | 2017-08-31 | 2017-11-07 | 重庆工程职业技术学院 | Landslide Model and its demenstration method |
| CN109637090A (en) * | 2019-01-30 | 2019-04-16 | 深圳市地质局 | A kind of disaster monitoring early warning platform construction method based on SOA framework |
| CN110706434A (en) * | 2019-10-22 | 2020-01-17 | 南京工程学院 | Man-machine interactive power transmission line fault monitoring and early warning system |
| CN110807891A (en) * | 2019-10-31 | 2020-02-18 | 国网山东省电力公司威海供电公司 | Power grid forest fire monitoring and early warning system and method |
| CN111144656A (en) * | 2019-12-27 | 2020-05-12 | 兰州大方电子有限责任公司 | Disaster evaluation analysis method based on GIS |
| CN111985847A (en) * | 2020-09-02 | 2020-11-24 | 四川省地震局减灾救助研究所 | Earthquake disaster risk assessment and countermeasure analysis system |
| CN115660424A (en) * | 2022-10-28 | 2023-01-31 | 国网四川省电力公司 | Disaster factor analysis early warning system based on GIS |
| CN116912070A (en) * | 2023-09-14 | 2023-10-20 | 北京国信华源科技有限公司 | Safety pre-alarm method and system for GIS and multi-source data fusion |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011014151A (en) * | 2010-08-19 | 2011-01-20 | Maoka Sekkei:Kk | Disaster recovery support system |
| CN102044022A (en) * | 2010-12-24 | 2011-05-04 | 中国科学院合肥物质科学研究院 | Emergency rescue decision making system aiming at natural disasters and method thereof |
| CN202758034U (en) * | 2012-05-04 | 2013-02-27 | 山西省电力公司阳泉供电公司 | Power grid thunder and lightning positioning analysis system |
| CN103337133A (en) * | 2013-06-14 | 2013-10-02 | 广东电网公司中山供电局 | System and method for power grid thunderstorm disaster early warning based on recognition and forecast |
| US20140040206A1 (en) * | 2012-08-02 | 2014-02-06 | Kadangode K. Ramakrishnan | Pipelined data replication for disaster recovery |
-
2014
- 2014-04-03 CN CN201410132886.5A patent/CN103914951A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011014151A (en) * | 2010-08-19 | 2011-01-20 | Maoka Sekkei:Kk | Disaster recovery support system |
| CN102044022A (en) * | 2010-12-24 | 2011-05-04 | 中国科学院合肥物质科学研究院 | Emergency rescue decision making system aiming at natural disasters and method thereof |
| CN202758034U (en) * | 2012-05-04 | 2013-02-27 | 山西省电力公司阳泉供电公司 | Power grid thunder and lightning positioning analysis system |
| US20140040206A1 (en) * | 2012-08-02 | 2014-02-06 | Kadangode K. Ramakrishnan | Pipelined data replication for disaster recovery |
| CN103337133A (en) * | 2013-06-14 | 2013-10-02 | 广东电网公司中山供电局 | System and method for power grid thunderstorm disaster early warning based on recognition and forecast |
Non-Patent Citations (1)
| Title |
|---|
| 赵晓文: "基于GIS的矿区地质灾害评价预警系统的设计与实现", 《中国优秀硕士论文全文库》 * |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104574835B (en) * | 2015-01-30 | 2017-07-21 | 国网河南省电力公司郑州供电公司 | A kind of power network disaster monitoring and early warning system and method based on GIS |
| CN104574835A (en) * | 2015-01-30 | 2015-04-29 | 国网河南省电力公司郑州供电公司 | System and method for monitoring and warning disasters of power grids on basis of GIS (geographic information system) |
| CN104835279A (en) * | 2015-06-02 | 2015-08-12 | 国家电网公司 | Method for calculating frequent occurrence period of power transmission line mountain fire alarms |
| CN106651166B (en) * | 2016-12-15 | 2020-06-30 | 中国南方电网有限责任公司电网技术研究中心 | Natural disaster risk processing method and system based on Internet of things |
| CN106651166A (en) * | 2016-12-15 | 2017-05-10 | 中国南方电网有限责任公司电网技术研究中心 | Natural disaster risk processing method and system based on Internet of Things |
| CN107331274B (en) * | 2017-08-31 | 2023-06-02 | 重庆工程职业技术学院 | Landslide model and demonstration method thereof |
| CN107331274A (en) * | 2017-08-31 | 2017-11-07 | 重庆工程职业技术学院 | Landslide Model and its demenstration method |
| CN109637090A (en) * | 2019-01-30 | 2019-04-16 | 深圳市地质局 | A kind of disaster monitoring early warning platform construction method based on SOA framework |
| CN110706434A (en) * | 2019-10-22 | 2020-01-17 | 南京工程学院 | Man-machine interactive power transmission line fault monitoring and early warning system |
| CN110807891A (en) * | 2019-10-31 | 2020-02-18 | 国网山东省电力公司威海供电公司 | Power grid forest fire monitoring and early warning system and method |
| CN111144656A (en) * | 2019-12-27 | 2020-05-12 | 兰州大方电子有限责任公司 | Disaster evaluation analysis method based on GIS |
| CN111985847A (en) * | 2020-09-02 | 2020-11-24 | 四川省地震局减灾救助研究所 | Earthquake disaster risk assessment and countermeasure analysis system |
| CN115660424A (en) * | 2022-10-28 | 2023-01-31 | 国网四川省电力公司 | Disaster factor analysis early warning system based on GIS |
| CN115660424B (en) * | 2022-10-28 | 2024-02-13 | 国网四川省电力公司 | Disaster element analysis early warning system based on GIS |
| CN116912070A (en) * | 2023-09-14 | 2023-10-20 | 北京国信华源科技有限公司 | Safety pre-alarm method and system for GIS and multi-source data fusion |
| CN116912070B (en) * | 2023-09-14 | 2023-12-05 | 北京国信华源科技有限公司 | Safety pre-alarm method and system for GIS and multi-source data fusion |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103914951A (en) | Method for natural disaster data information mining and early warning response analysis based on GIS power grid | |
| Yucesan et al. | Risk evaluation and prevention in hydropower plant operations: A model based on Pythagorean fuzzy AHP | |
| Li et al. | Methodologies of safety risk control for China’s metro construction based on BIM | |
| Yang et al. | Using big data to enhance crisis response and disaster resilience for a smart city | |
| CN104950187B (en) | A kind of thunder and lightning analysis and early warning method and system based on power grid GIS | |
| CN104504525A (en) | Method for realizing power-grid equipment failure prewarning through big data mining technology | |
| CN104952212A (en) | Power-grid-GIS-based early warning method of geological disaster and apparatus thereof | |
| Kamenopoulos et al. | Assessment of the safe operation and maintenance of photovoltaic systems | |
| Hao et al. | Hazard identification, risk assessment and management of industrial system: Process safety in mining industry | |
| CN109446640A (en) | A kind of transmission line of electricity power line modeling extracting method based on laser point cloud | |
| CN107658980B (en) | Analysis method and system for rechecking power grid monitoring alarm information | |
| KR20210044655A (en) | Method of preserving the prediction of a device through distribution chart | |
| CN104217261A (en) | Operating state risk early-warning method for main transformer system | |
| CN105388826A (en) | Method for establishing hybrid type rare earth mining area water environment quality monitoring and early warning system | |
| CN101546924A (en) | Electric network emergency management system based on geographical information technology | |
| CN104346691A (en) | Power enterprise field operation risk analysis method based on fault tree analysis | |
| CN104319906A (en) | Power grid disaster-prevention control system | |
| CN103383744A (en) | Method and system for public network meteorological data application to power grid disaster prevention and reduction | |
| CN105404962B (en) | The transformation appraisal procedure of power system relay protection device and its generation system | |
| Wang et al. | A data-driven integrated framework for predictive probabilistic risk analytics of overhead contact lines based on dynamic Bayesian network | |
| Bing et al. | Study on coal mine safety management system based on “hazard, latent danger and emergency responses” | |
| Kitazawa et al. | RAMI analysis of the ITER CIS | |
| CN111027827B (en) | Method and device for analyzing operation risk of bottom-protecting communication network and computer equipment | |
| KR20220057132A (en) | Smart safety-integration control system | |
| Muda et al. | Dam safety emergency action plan: A current practice for hydropower dam in Malaysia |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20140709 |