CN202662054U - Mountain fire disaster monitoring and early-warning analysis system based on power grid GIS (Gas Insulated Switchgear) - Google Patents
Mountain fire disaster monitoring and early-warning analysis system based on power grid GIS (Gas Insulated Switchgear) Download PDFInfo
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- CN202662054U CN202662054U CN2012203132530U CN201220313253U CN202662054U CN 202662054 U CN202662054 U CN 202662054U CN 2012203132530 U CN2012203132530 U CN 2012203132530U CN 201220313253 U CN201220313253 U CN 201220313253U CN 202662054 U CN202662054 U CN 202662054U
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 22
- 238000004458 analytical method Methods 0.000 title claims abstract description 17
- 238000012545 processing Methods 0.000 claims abstract description 23
- 238000000034 method Methods 0.000 claims description 4
- 238000004891 communication Methods 0.000 claims description 3
- 238000007405 data analysis Methods 0.000 claims description 3
- 230000010354 integration Effects 0.000 claims description 3
- 125000006850 spacer group Chemical group 0.000 claims description 3
- 238000002955 isolation Methods 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 description 9
- 230000005540 biological transmission Effects 0.000 description 6
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 230000003139 buffering effect Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000007418 data mining Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
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- 230000006855 networking Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
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- 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
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
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Abstract
The utility model relates to a mountain fire disaster monitoring and early-warning analysis system based on a power grid GIS (Gas Insulated Switchgear), which comprises a data acquisition device, a one-way safety isolation device and a data processing device based on the power grid GIS, wherein the data acquisition device is connected with the data processing device based on the power grid GIS through the safety isolation device; the data acquisition device acquires public network data and micro meteorological data and is integrated with a data acquisition platform; and the data of the data acquisition platform is accessed into a power grid GIS platform through the safety isolation device and is analyzed by the data processing device based on the power grid GIS. Through the system, the mountain fire spread trend and the mountain fire spread scope can be forecasted, the sphere of influence of mountain fire to power grid assets and the equipment information are forecasted, the power grid loss and the like caused by the mountain fire disaster are evaluated, a power grid company is guided to timely carry out power supply repair and power supply restoration according to the mountain fire disaster situation, and the safety, the stability and the orderly operation of a power grid are ensured.
Description
Technical field
The utility model relates to mountain fire disaster monitoring and early warning analysis technical field, relates in particular to a kind of based on power grid GIS mountain fire disaster monitoring and prewarning analysis system.
Background technology
Along with deepening continuously of national grid intelligent development, the Large scale construction of UHV transmission network, as the scale of sign, when high efficiency electrical network meets with disaster, it affects, and speed is fast, scope is wide, and socialization trend is arranged take large networking, large capacity.Mountain fire is one of principal element that causes the electrical network disaster.The situation that the anti-mountain fire work of electrical network faces is more and more severeer, need to carry out from many aspects the electric network synthetic fire prevention, and really the control mountain fire improves the electric power netting safe running level conscientiously to the harm of electrical network.
Prior art is only monitored the mountain fire kindling point, can not satisfy electrical network fireproof demand.How mountain fire is effectively monitored, when mountain fire occurs, how carry out the Accurate Prediction of mountain fire rate of propagation in conjunction with real-time Meteorological Elements in China and geographical conditions, and show the scope that mountain fire spreads with graphical interfaces intuitively, disaster-stricken power grid asset and influenced power consumer of early warning and effectively lose assessment how becomes electrical network and improves the problem that reply mountain fire disaster management level and power grid operation are needed solution badly.
The utility model content
The purpose of this utility model is to design a kind of novel a kind of based on power grid GIS mountain fire disaster monitoring and prewarning analysis system, addresses the above problem.
To achieve these goals, the technical solution adopted in the utility model is as follows:
A kind of mountain fire disaster monitoring and prewarning analysis system based on power grid GIS, comprise data collector, one-way safety spacer assembly and based on the data processing equipment of power grid GIS, described data collector connects by described safety insulating device and the data processing equipment of being connected based on power grid GIS;
Described data collector gathers public network data and microclimate data and with described public network data and described microclimate data integration data acquisition platform;
Between described safety insulating device connection and described data collector and the described data processing equipment based on power grid GIS, the data communication device of described data acquisition platform is crossed safety insulating device access power grid GIS platform;
Described data processing equipment based on power grid GIS is to the data analysis of described data acquisition platform, to monitoring and early warning of mountain fire disaster.
Preferably, described data collector comprises common data harvester and outdoor collector, and described common data harvester is used for gathering the public network data, and described outdoor collector is used for gathering the microclimate data.
Preferably, described data processing equipment based on power grid GIS comprises that common data pre-procesor and foreground receive the front end processor device, the described public network data that described common data pre-procesor collects for the treatment of described common data harvester, described foreground receive the microclimate data that the outer collector of front end processor device process chamber collects.
Preferably, described outdoor collector is accepted the front end processor device by concentrator and described foreground and is communicated with, described outdoor collector regularly sends to described concentrator with the data that collect with wireless mode, the data that described concentrator storing received arrives, and with the data timing of storage or mandatoryly send to described foreground and receive the front end processor device.
The beneficial effects of the utility model can be summarized as follows:
The utility model passes through geographical information technology, satellite remote sensing technology, the power network resources infotech, the mountain fire condition of a fire grade early warning that the weather monitoring technology combines, and spread forecast model as support take mountain fire, prediction mountain fire spreading trend and scope, the prediction mountain fire is to coverage and the facility information of power grid asset, the grid loss that assessment mountain fire disaster causes, provide according to mountain fire spreading trend and scope and dynamically follow the tracks of the power consumer that the mountain fire disaster affects, instruct grid company according to the repairing of in time powering of mountain fire the condition of a disaster, service restoration guarantees power grid security, stable, orderly function.
Description of drawings
Fig. 1 is apparatus structure schematic diagram of the present utility model.
Embodiment
Clearer for technical matters, technical scheme and beneficial effect that the utility model is solved, below in conjunction with drawings and Examples, the utility model is further elaborated.Should be appreciated that specific embodiment described herein only in order to explaining the utility model, and be not used in restriction the utility model.
Apparatus structure schematic diagram of the present utility model such as Fig. 1.What the utility model provided is a kind of based on power grid GIS mountain fire disaster monitoring and prewarning analysis system, comprise data collector, one-way safety spacer assembly and based on the data processing equipment of power grid GIS, described data collector connects by described safety insulating device and the data processing equipment of being connected based on power grid GIS;
Described data collector gathers public network data and microclimate data and with described public network data and described microclimate data integration data acquisition platform;
Described data collector sends to data processing equipment with the data that collect, described data collector comprises common data harvester and outdoor collector, described common data harvester is used for gathering the public network data, and described outdoor collector is used for gathering the microclimate data.
Adopt the common data harvester to obtain mountain fire satellite remote sensing date and macroscopical weather data based on power grid GIS mountain fire disaster monitoring and prewarning analysis system, by the common data pre-procesor data that collect are carried out data pick-up, conversion and loading, form power grid environment public network data source; Adopt the outdoor collector that carries various environmental sensors to gather the microclimate data, and be stored in the outdoor collector temporarily, described outdoor collector and described concentrator communicate by wireless mode, and the microclimate data timing that collects is sent to described concentrator, described concentrator and foreground receive the wireless connections of front end processor device, described concentrator timing or the mandatory front end processor device transmission data that receive to described foreground, described foreground receives the front end processor device and comprises data processing equipment, and a large amount of multi-source datas that receive are changed and loaded.
Between described safety insulating device connection and described data collector and the described data processing equipment based on power grid GIS, the data communication device of described data acquisition platform is crossed safety insulating device access power grid GIS platform;
Described data processing equipment is processed the data that receive, described data processing equipment comprises that common data pre-procesor and foreground receive the front end processor device, described common data pre-procesor is processed the described public network data that described common data harvester collects, described foreground receives the microclimate data that the outer collector of front end processor device process chamber collects, and described data processing equipment sends to described safety insulating device to the data after processing.
Described data acquisition platform be the utility model based on the data supporting layer of power grid GIS mountain fire disaster monitoring and prewarning analysis system, realization is mutual and related with power grid GIS, multi-service data and multisystem data.By technology such as described data acquisition platform, webService network service, FTP remote transmission, GPS wireless transmission, realize power network resources data, mountain fire satellite remote sensing date, macroscopical weather data and microclimate online monitoring data access electrical network Intranet, and take the unidirectional isolation technology of electric system intranet and extranet as the basis, guarantee to realize that outer network data is to the one-way transmission of electric system Intranet under the precondition of power system information safety.
Described data processing equipment based on power grid GIS is to the data analysis of described data acquisition platform, to monitoring and early warning of mountain fire disaster.
The identification of mountain fire dangerous point and dangerous buffering grade classification: described power grid GIS platform obtains data from described data acquisition platform, fire point pixel number by analyzing the mountain fire satellite remote sensing information and naked light district pixel number etc., take geographical spatial data as support, the dangerous buffer zone of mountain fire is divided into one-level, secondary, three grades three grades, and introducing power grid asset configuration closeness and high-risk large user's closeness corrected parameter, form electrical network layer mountain fire danger classes buffer zone, each buffer zone covers certain geographic range.
Set up the mountain fire Spread Model: the power grid GIS platform is by researching and analysing a plurality of main flow mountain fire Spread Models, in conjunction with power grid GIS information, imperfection in view of present geography information and geological information, the actual demand that the complicacy of combustible Planting pattern and electrical network mountain fire are taken precautions against natural calamities and used, solving electrical network mountain fire disaster spreads and processes mountain fire in the prediction and spread surface vegetation situation, river, highway and weather weather condition etc. to the impact of prediction, introduce more positive coefficient of the flammable ratio of combustible, realize the electrical network mountain fire disaster Spread Model based on power grid GIS.
Power failure range and breakdown loss forecast analysis: described power grid GIS platform obtains data from described data acquisition platform, be subject under the condition of mountain fire damaging influence at supposition electric system power transmission and transforming equipment, the utility model can be on the equipment failure that causes, the height that is associated is jeopardized the important situation that affects for the electricity consumption user and the loss of assets that may cause etc. carries out the forecast assessment analysis.
The in-depth of power grid GIS is used: take the power grid GIS platform as the basis, realization is to data mining and the depth analysis of power network resources information data, mountain fire satellite remote sensing date, macroscopical weather data, microclimate online monitoring data etc., realization intuitively marks by fiery point on the GIS platform, three grades of fire buffer zones, the weather environment information such as weather, wind speed, wind direction, the mountain fire analytical model assembly that power network resources in the live wire buffer zone etc. form realizes that the in-depth of power grid GIS is used.
The mountain fire condition of a fire grade early warning that the utility model combines by geographical information technology, satellite remote sensing technology, power network resources infotech, weather monitoring technology, and spread forecast model as support take mountain fire, carry out the prediction of mountain fire spreading trend and scope.
Use the utility model, improved monitoring, early warning, predicting and evaluating level that electrical network in the intelligent monitor system successfully manages the mountain fire disaster, guaranteed intelligent monitor system reply electrical network mountain fire disaster in real time, efficient and aid decision making efficient.
More than by the detailed description of concrete and preferred embodiment the utility model; but those skilled in the art should be understood that; the utility model is not limited to the above embodiment; all within spirit of the present utility model and principle; any modification of doing, be equal to replacement etc., all should be included within the protection domain of the present utility model.
Claims (4)
1. mountain fire disaster monitoring and prewarning analysis system based on a power grid GIS, it is characterized in that: comprise data collector, one-way safety spacer assembly and based on the data processing equipment of power grid GIS, described data collector connects by described safety insulating device and the data processing equipment of being connected based on power grid GIS;
Described data collector gathers public network data and microclimate data and with described public network data and described microclimate data integration data acquisition platform;
Between described safety insulating device connection and described data collector and the described data processing equipment based on power grid GIS, the data communication device of described data acquisition platform is crossed safety insulating device access power grid GIS platform;
Described data processing equipment based on power grid GIS is to the data analysis of described data acquisition platform, to monitoring and early warning of mountain fire disaster.
2. mountain fire disaster monitoring and prewarning analysis system based on power grid GIS according to claim 1, it is characterized in that: described data collector comprises common data harvester and outdoor collector, described common data harvester is used for gathering the public network data, and described outdoor collector is used for gathering the microclimate data.
3. mountain fire disaster monitoring and prewarning analysis system based on power grid GIS according to claim 1, it is characterized in that: described data processing equipment based on power grid GIS comprises that common data pre-procesor and foreground receive the front end processor device, the described public network data that described common data pre-procesor collects for the treatment of described common data harvester, described foreground receive the microclimate data that the outer collector of front end processor device process chamber collects.
4. according to claim 2 or 3 described mountain fire disaster monitoring and prewarning analysis systems based on power grid GIS, it is characterized in that: described outdoor collector is accepted the front end processor device by concentrator and described foreground and is communicated with, described outdoor collector regularly sends to described concentrator with the data that collect with wireless mode, the data that described concentrator storing received arrives, and with the data timing of storage or mandatoryly send to described foreground and receive the front end processor device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012203132530U CN202662054U (en) | 2012-05-04 | 2012-06-30 | Mountain fire disaster monitoring and early-warning analysis system based on power grid GIS (Gas Insulated Switchgear) |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201220198878.7 | 2012-05-04 | ||
| CN201220198878 | 2012-05-04 | ||
| CN2012203132530U CN202662054U (en) | 2012-05-04 | 2012-06-30 | Mountain fire disaster monitoring and early-warning analysis system based on power grid GIS (Gas Insulated Switchgear) |
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| CN202662054U true CN202662054U (en) | 2013-01-09 |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103955618A (en) * | 2014-05-08 | 2014-07-30 | 国家电网公司 | Method for intelligently predicting power transmission line forest fires in large scale |
| CN104134093A (en) * | 2014-04-02 | 2014-11-05 | 贵州省交通规划勘察设计研究院股份有限公司 | Surface line and point multilayer integrated forecasting method for highway geological hazards |
| CN104424611A (en) * | 2013-08-23 | 2015-03-18 | 深圳市昆特科技有限公司 | Early warning information data acquisition system |
| CN104616471A (en) * | 2015-02-04 | 2015-05-13 | 国网河南省电力公司郑州供电公司 | Automatic metering system for power remote meter reading |
| CN104952212A (en) * | 2014-09-04 | 2015-09-30 | 国网山东省电力公司应急管理中心 | Power-grid-GIS-based early warning method of geological disaster and apparatus thereof |
| CN108538014A (en) * | 2018-04-24 | 2018-09-14 | 国网安徽省电力有限公司 | Electric transmission line channel mountain fire control method and system based on satellite check frequency |
| CN108765861A (en) * | 2018-06-11 | 2018-11-06 | 四川汇源光通信有限公司 | A kind of anti-external force tamper detection system and method for transmission line of electricity fire prevention |
| CN110335434A (en) * | 2019-08-14 | 2019-10-15 | 安徽智立通科技股份有限公司 | A kind of forestry fire prevention monitoring system |
-
2012
- 2012-06-30 CN CN2012203132530U patent/CN202662054U/en not_active Expired - Lifetime
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104424611A (en) * | 2013-08-23 | 2015-03-18 | 深圳市昆特科技有限公司 | Early warning information data acquisition system |
| CN104134093A (en) * | 2014-04-02 | 2014-11-05 | 贵州省交通规划勘察设计研究院股份有限公司 | Surface line and point multilayer integrated forecasting method for highway geological hazards |
| CN103955618A (en) * | 2014-05-08 | 2014-07-30 | 国家电网公司 | Method for intelligently predicting power transmission line forest fires in large scale |
| CN104952212A (en) * | 2014-09-04 | 2015-09-30 | 国网山东省电力公司应急管理中心 | Power-grid-GIS-based early warning method of geological disaster and apparatus thereof |
| CN104616471A (en) * | 2015-02-04 | 2015-05-13 | 国网河南省电力公司郑州供电公司 | Automatic metering system for power remote meter reading |
| CN108538014A (en) * | 2018-04-24 | 2018-09-14 | 国网安徽省电力有限公司 | Electric transmission line channel mountain fire control method and system based on satellite check frequency |
| CN108765861A (en) * | 2018-06-11 | 2018-11-06 | 四川汇源光通信有限公司 | A kind of anti-external force tamper detection system and method for transmission line of electricity fire prevention |
| CN110335434A (en) * | 2019-08-14 | 2019-10-15 | 安徽智立通科技股份有限公司 | A kind of forestry fire prevention monitoring system |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| ASS | Succession or assignment of patent right |
Owner name: HUADA TIANYUAN (BEIJING) ELECTRIC POWER TECHNOLOGY Free format text: FORMER OWNER: HUADA TIANYUAN (BEIJING) ELECTRIC POWER TECHNOLOGY CO., LTD. Effective date: 20130220 |
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| C41 | Transfer of patent application or patent right or utility model | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20130220 Address after: 045000 No. 10 Desheng East Street, Shanxi, Yangquan Patentee after: Yangquan Power Supply Company of Shanxi Electric Power Co. Patentee after: Huada Tianyuan (Beijing) Electric Power Technology Co.,Ltd. Patentee after: State Grid Corporation of China Address before: 045000 No. 10 Desheng East Street, Shanxi, Yangquan Patentee before: Yangquan Power Supply Company of Shanxi Electric Power Co. Patentee before: Huada Tianyuan (Beijing) Electric Power Technology Co.,Ltd. |
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| CX01 | Expiry of patent term |
Granted publication date: 20130109 |
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| CX01 | Expiry of patent term |