CN102254239A - Power grid wind damage early warning system based on micro-landform wind field distribution and typhoon superimposed effect - Google Patents
Power grid wind damage early warning system based on micro-landform wind field distribution and typhoon superimposed effect Download PDFInfo
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Abstract
The invention relates to a power grid wind damage early warning system based on micro-landform wind field distribution and typhoon superimposed effect, belonging to the field of prevention, reduction and control of natural disaster for a power grid. The power grid wind damage early warning system comprises a weather data acquisition sub-system, a wind damage and wind speed forecasting computer sub-system, a power grid early warning information processing computer sub-system, a power grid wind damage estimation processing computer sub-system and an information issuing sub-system, and each above sub-system is orderly in signal electrical connections. The power grid wind damage early warning system is capable of acquiring timed weather data of meteorological stations in a region covered by the power grid, performing standard pretreatment, then, establishing a gale statistical diagnosis model and a numerical model by means of theory modeling and numerical simulation, analyzing influence degree of the gale on main lines, iron towers and transformer substations, and issuing a related gale early warning information report based on related rules for gale early warning grades, wherein the related rules are specified by the Meteorological Office. And the power grid wind damage early warning system has the advantages of high precision, excellent accuracy, quick real-time response speed and the like, and can provide decision support for gale damage prevention and power grid planning.
Description
Technical field
The present invention relates to electrical network disaster caused by a windstorm early warning system, belong to the anti-field of controlling that subtracts of electrical network disaster based on mima type microrelief wind distribution and typhoon synergistic effect.
Background technology
China is subjected to one of the most serious country of tropical cyclones influence in the world, has 7-8 tropical cyclone to land in that China is coastal every year on average, and maximum times reaches 12, and minimum also has 3.Although some tropical cyclone does not land, still can affect greatly coastal.China shore line is longer, and from Hainan to Liaoning, wide coastland all can be subjected to landing the influence of tropical cyclone.Especially province such as Fujian, Guangdong is the severely afflicated area of landing tropical cyclones influence.Landing high wind and the heavy rain that tropical cyclone brings causes heavy losses for local economy and people's lives and properties.Be subjected to alternately influencing of Eurasia and tropical ocean, this zone synoptic climate is complicated and changeable, diastrous weather (as typhoon) takes place frequently, this zone especially is on the typhoon track, land with the typhoon of range of influence very frequent, all land, influence Zhejiang, Fujian, Guangdong coastal and at the South Sea northern movable tropical cyclone, all can cause the appearance of local instantaneous high wind (polar wind), this disaster caused by a windstorm very easily causes the massive losses of power engineering and equipment in the electrical network overlay area.In addition, be background with the subtropics marine climate, the feature of the surface layer wind that forms in conjunction with the distinctive complex-terrain landforms in this ground will produce material impact to the wind resistance safety and the engineering design investment estimate of grid power transmission system in the zone.
Make a general survey of both at home and abroad, the research of numerical model and numerical simulation has had significant progress since 20th century.One of them impressive progress is that the design of numerical model no longer only pays close attention to the development of atmosphere inside, for the description of the border process of atmosphere precision day by day.Particularly, improved the analog capability and the precision of numerical model effectively, climate and weather feature that can the true reappearance zone at the large-scale observation project implementation of the border procedure schema development of atmosphere.Numerical simulation at wind just progressively grows up at home in recent years, for example utilizes the GUIDE simple mode, and the consideration landform has been carried out the numerical model of complex-terrain wind speed to Influences on Wind Velocity, obtains more accurate wind distribution feature; Utilize the GUIDE pattern, in conjunction with the dimensional topography that the satellite remote sensing geography information obtains, comprehensive assessment the method that distributes of local wind; And further analyzed under desirable topographic condition, accurate static(al) pattern has been studied under the MODEL OVER COMPLEX TOPOGRAPHY the analog capability of the horizontal wind field of complex-terrain, the appraisal procedure problem of wind energy resources; The wind distribution of greater coasting area that Yuan Chunhong etc. (2004) have utilized the successful simulation of Mesoscale Meteorology MM5; When pursuing oceanographic station, Li Xiaoyan and Yu Zhi (2005) discovery surveys wind data, satellite microwave remote sensing scatterometer wind field inverting data, assimilation technical finesse through MM5, and then utilize the Design Pattern scheme of MM5 than high-spatial and temporal resolution, the wind distribution of simulation has some improvement to the simulation of wind tool; Gong Qiang etc. (2006) have studied the application test of MM5 pattern in the wind generaI investigation and have shown that the MM5 pattern has good reference and using value to the Macroscopic Evaluation of extensive area wind field; (2005) such as Dobesch H are research object with Jilin Province, utilize the WASP pattern, finished nearly lkm resolution, apart from the calculating and the drawing of the wind speed of ground 60m height; Mu Haizhen etc. (2006) utilize the TAPM numerical model that the wind field in area, Shanghai has been made numerical simulation calculation, and through correcting of synchronous weather station observational data, obtaining resolution is Shanghai average of the whole year wind speed and the wind power concentration distributed intelligence of 3km.In the world, pay attention to the method that statistics-numerical model combines in recent years more, utilize meso-scale model, microscale numerical model, and the method that combines of statistical study, progressively improve the spatial and temporal resolution that local wind distributes, the test and evaluation of wind is developed many testing apparatuss and assessment software abroad at present.
In the electrical network overlay area of China's southeastern coast, power transmission system height such as electric power structures are in atmospheric boundary layer (about 1km) all in addition, therefore mainly is subjected to the influence of lower atmosphere layer.Air motion form in the lower atmosphere layer mainly shows as turbulent motion, and the research of turbulent wind variation characteristic and pests occurrence rule is the important foundation problem in the Structural Wind Engineering.Wind load is one of primary load of bearing of structures, therefore, the prerequisite of correct analysis structure wind-induced vibration is that the various parameters to wind characteristic define accurately and simulate, and the turbulence characteristic of accurately holding wind has vital role in the wind resistance research of electric structure engineering and design are used.
But, lack in the prior art local wind distribution of high-spatial and temporal resolution is forecast with the wind speed that obtains each electric power structures place with the electric power structures distribution of electrical network overlay area is overlapping, and then ensure the electrical network disaster caused by a windstorm early warning system of safe operation of electric network, raising strong wind hazard forecasting predictive ability and calamity emergency disposing capacity.
Summary of the invention
Purpose of the present invention provides a kind of electrical network disaster caused by a windstorm early warning system based on mima type microrelief wind distribution and typhoon synergistic effect, can be with enough precision, prediction goes out strong wind (polar wind) disaster scenarios it of each electric power structures in the electrical network areal coverage exactly, and real time reaction operation of power networks risk status, for strong wind disaster prevention and Electric Power Network Planning provide decision support.
The objective of the invention is to realize by following approach:
Electrical network disaster caused by a windstorm early warning system based on mima type microrelief wind distribution and typhoon synergistic effect, its main points are: this early warning system comprises: the weather data acquisition subsystem, the computer subsystem of disaster caused by a windstorm wind speed forecast, the computer subsystem that the electrical network early warning information is handled, the computer subsystem of electrical network disaster caused by a windstorm evaluation process and information issue subsystem, above-mentioned each subsystem signal successively is electrically connected, and the weather data acquisition subsystem is gathered the timeliness weather data that a plurality of meteorological observation websites provide in the electrical network areal coverage of area under one's jurisdiction and sent into the computer subsystem that the disaster caused by a windstorm wind speed forecasts; Obtain to cover disaster caused by a windstorm wind distribution and each predicted value signal of wind speed of area under one's jurisdiction electrical network scope and send into the computer subsystem that the electrical network early warning information is handled, with wind speed predicted value signal that carries out each electric power structures place of corresponding acquisition and the computer subsystem of sending into electrical network disaster caused by a windstorm evaluation process of distributing based on the electric power structures of spatial geographic information, the design wind speed of corresponding electric power structures with each compares and the computing machine damage probability model by wherein obtains to issue subsystem in information and intuitively issues the electric power structures of demonstration and damage probability, signals such as electric power structures advanced warning grade.
The spatial geographic information that the present invention can characterize the electric power structures has microfeature or attribute, with its with can obtain mima type microrelief wind distribution and typhoon synergistic effect after the disaster caused by a windstorm wind distribution is corresponding, forecast wind speed after this synergistic effect is the true suffered wind speed of these electric power structures of true embodiment more, therefore, the present invention not only can forecast situations such as the wind speed, disaster of each electric power structures, and the forecast precision height, accuracy is good.
Purpose of the present invention can also realize by following approach.
Store the geography information module in the computer subsystem that the electrical network early warning information is handled, weather data and Geographic Information System display module, solar or lunar halo is made module, weather data processing module and parameter are provided with module, wherein the geography information module realizes basic GIS view function and wind, temperature, rainfall and typhoon forecast path colour code Presentation Function, weather data and Geographic Information System display module can be simultaneously or are showed data message (the very big wind that station automatically provides separately, one hour rain, integral point temperature and sea-level pressure), typhoon track information and a kind of self-defining numerical forecasting format information, solar or lunar halo is made the color lump of module according to strong wind district rank correspondence, the closed polygon that filling is made up of a plurality of points that click to generate, and polygon to carry out smoothing processing be that closed curve is made solar or lunar halo.
Comprise meteorological image data standardization system that signal successively is electrically connected and the disaster caused by a windstorm models treated system of causing disaster in the computer subsystem of disaster caused by a windstorm wind speed forecast, store the weather data quality control and handle standard database in the meteorological image data standardization system, its timeliness weather data that weather data acquisition subsystem is sent into is processed into the standardization weather data and offers the disaster caused by a windstorm models treated system of causing disaster.
The disaster caused by a windstorm models treated system of causing disaster comprises statistical diagnosis models treated system and numerical forecasting models treated system, statistical diagnosis models treated system and numerical forecasting models treated system are plugged on respectively between the computer subsystem of meteorological image data standardization system and the processing of electrical network early warning information, simultaneously, numerical forecasting models treated system one signal output part also is connected with statistical diagnosis models treated system one signal input part, store relevant meteorological field in the numerical forecasting models treated system, the landform field, local observation field, local landform field and soil utilize data messages such as information, the standardized meteorological measuring of input and the combination of these data messages are also handled the surface layer that the back generates the certain boundary layer of tool height, wind field information when the forecast timeliness is pursued than high resolving power in statistical diagnosis models treated system head's the electrical network distributed areas, area under one's jurisdiction, and send into the computer subsystem that statistical diagnosis models treated system and electrical network early warning information are handled respectively, the standardized meteorological measuring that statistical diagnosis models treated system will import and electrical network distributed areas, area under one's jurisdiction in high resolving power by the time wind field information common computing after in the generation weather data acquisition subsystem each ground observation station 1 day future or two days on average, the predicted value information data of maximum and extreme wind speed is also sent into the computer subsystem that the electrical network early warning information is handled.
Statistical diagnosis models treated system forecast obtains is per day, the maximum and the extreme wind speed of each website of following 24 hours, and because of using a large amount of observational datas and mode data, forecast precision is higher more stable, but the assessment of can only fixing a point; Numerical forecasting models treated system obtains be following 72 hours high resolving power by the time space wind field, but be subject to the influence of initial value field, can improve its forecast precision by handling in conjunction with the observational data assimilation.Native system is the advantage in conjunction with both, can obtain high-resolution wind vectors in the spatial dimension, can fix a point to assess to point that survey station is arranged or the website of paying close attention to again, obtains its forecast change of wind velocity more accurately.
Meteorology image data standardization system carries out quality control and standardization pre-service to the various weather datas of gathering; Statistical diagnosis models treated system utilizes the wind field spatial-temporal distribution characteristic in historical and the electrical network of the weather data prediction in real time areal coverage; Numerical forecasting models treated system is by strong wind (polar wind) disaster scenarios it in the numerical simulation real-time prediction electrical network areal coverage; Information issue subsystem is by strong wind early warning information in various communication platforms and other platform real-time release electrical network areal coverage.
The concrete calculation processes of numerical forecasting models treated system is, on the data message basis of weather forecast pattern (WRF) 3 km numerical products, yardstick technical data information is fallen in conjunction with power, operation atmospheric boundary layer module data information (CALMET) is exported horizontal resolution at last and is reached wind field information when high resolving power is pursued in surface layer in 100 meters of the 100m * 100m, boundary layer height, the electrical network distributed areas, area under one's jurisdiction that the forecast timeliness reaches 72 hours.
The concrete calculation processes of statistical diagnosis models treated system is: utilize partial least-square regression method binding pattern forecasting procedure (PLS-MOS) to set up the strong wind statistical diagnosis model of each ground observation station in the weather data acquisition subsystem, with high resolving power in the standardized meteorological measuring that reads in respectively and the electrical network distributed areas, area under one's jurisdiction by the time generate average, the maximum of following 1 day of each ground observation station in the weather data acquisition subsystem and the predicted value information data of extreme wind speed after the wind field information common computing.
Also include the verification modular processing system in the computer subsystem of disaster caused by a windstorm wind speed forecast, the verification modular processing system forms closed loop with statistical diagnosis models treated system and numerical forecasting models treated system respectively and is electrically connected, statistical diagnosis models treated system and numerical forecasting models treated system will forecast that respectively wind velocity signal Value Data information input validation modular processing system and actual measurement wind speed compare, and comparing result feeds back to system separately to revise the model parameter of adjusting separately.
Each included weather station of weather data acquisition subsystem is made up of meteorological element sensor, data collection processor and the data transmission communication module etc. of electric signal connection successively, and D.C. regulated power supply provides power supply for above-mentioned each composition.
In sum, the present invention at first gathers the timeliness weather data of a plurality of meteorological observation websites in the electrical network areal coverage in real time by the weather data acquisition system, gather the standardization system by weather data then, the various weather datas of gathering are carried out quality control and standardization pre-service, then means that combine based on theoretical modeling and numerical simulation, set up strong wind statistical diagnosis model and numerical model, according to each main line of power department, the geographic position of iron tower and transformer station, analyze strong wind to its influence degree, in conjunction with the relevant regulations of meteorological department's strong wind advanced warning grade, issue corresponding strong wind early warning information report.Have the precision height, accuracy is good, and real time reaction is fast, for strong wind disaster prevention and Electric Power Network Planning provide advantages such as decision support.
Description of drawings
Fig. 1 is the electrical network disaster caused by a windstorm early warning system general frame synoptic diagram based on mima type microrelief wind distribution and typhoon synergistic effect of the present invention;
Fig. 2 is the statistical diagnosis models treated system handles schematic flow sheet of electrical network disaster caused by a windstorm early warning system of the present invention;
Fig. 3 is the numerical forecasting models treated system handles schematic flow sheet of electrical network disaster caused by a windstorm early warning system of the present invention;
Fig. 4 specifically forms synoptic diagram for the weather data acquisition subsystem of electrical network disaster caused by a windstorm early warning system of the present invention;
Fig. 5 specifically forms synoptic diagram for the computer subsystem that the electrical network early warning information of electrical network disaster caused by a windstorm early warning system of the present invention is handled;
Fig. 6 is the computer subsystem treatment scheme synoptic diagram of the electrical network disaster caused by a windstorm evaluation process of electrical network disaster caused by a windstorm early warning system of the present invention.
Embodiment
Most preferred embodiment:
With reference to accompanying drawing 1, electrical network disaster caused by a windstorm early warning system based on mima type microrelief wind distribution and typhoon synergistic effect, its main points are: this early warning system comprises: the weather data acquisition subsystem, the computer subsystem of disaster caused by a windstorm wind speed forecast, the computer subsystem that the electrical network early warning information is handled, the computer subsystem of electrical network disaster caused by a windstorm evaluation process and information issue subsystem, above-mentioned each subsystem signal successively is electrically connected, and the weather data acquisition subsystem utilizes the timeliness weather data that a plurality of meteorological observation websites provide in the electrical network areal coverage of area under one's jurisdiction to send into the computer subsystem that the disaster caused by a windstorm wind speed forecasts; Obtain to cover disaster caused by a windstorm wind distribution and each predicted value signal of wind speed of area under one's jurisdiction electrical network scope and send into the computer subsystem that the electrical network early warning information is handled, with wind speed predicted value signal that carries out each electric power structures place of corresponding acquisition and the computer subsystem of sending into electrical network disaster caused by a windstorm evaluation process of distributing based on the electric power structures of spatial geographic information, the design wind speed of corresponding electric power structures with each compares and the computing machine damage probability model by wherein obtains to issue subsystem in information and intuitively issues the electric power structures of demonstration and damage probability, signals such as electric power structures advanced warning grade.
Wherein, comprise meteorological image data standardization system that signal successively is electrically connected and the disaster caused by a windstorm models treated system of causing disaster in the computer subsystem of disaster caused by a windstorm wind speed forecast, store the weather data quality control and handle standard database in the meteorological image data standardization system, its timeliness weather data that weather data acquisition subsystem is sent into is processed into the standardization weather data and offers the disaster caused by a windstorm models treated system of causing disaster.The disaster caused by a windstorm models treated system of causing disaster comprises statistical diagnosis models treated system, numerical forecasting models treated system and verification modular processing system, statistical diagnosis models treated system and numerical forecasting models treated system are plugged on respectively between the computer subsystem of meteorological image data standardization system and the processing of electrical network early warning information, simultaneously, numerical forecasting models treated system one signal output part also is connected with statistical diagnosis models treated system one signal input part, and the verification modular processing system forms closed loop with statistical diagnosis models treated system and numerical forecasting models treated system respectively and is electrically connected.
Further concrete described each disposal system and the computer subsystem of setting forth.
With reference to accompanying drawing 2, the statistical diagnosis model adopts the PLS-MOS method to set up strong wind statistical diagnosis forecasting model, wherein PLS is offset minimum binary algorithm (Partial least-squares is called for short PLS), and regretional analysis is chosen the regression coefficient of each factor and set up prognostic equation.The PLS regretional analysis mainly is applicable to the regression modeling of many dependent variables to many independents variable, and can solve the insurmountable problem of the common multiple regression of many usefulness effectively.MOS is MOS (Model Output Statistics, be called for short a MOS) method, and specific practice is to choose the predictor vector from the filing data of numerical forecasting pattern, when obtaining predictand or be bordering on and forecast relational expression simultaneously.The parameter of PLS-MOS mainly at the selection of predictor and modeling sample quantitatively.PLS-MOS has selected the basic output variable of WRF pattern as predictor.
Program initialization, read correlation parameter, further read-in mode data, carry out corresponding interpolation, and in standardized meteorological measuring that reads in respectively and the electrical network distributed areas, area under one's jurisdiction high resolving power by the time wind field information, judge and observation of rejecting nothing or default data, utilize partial least-square regression method binding pattern forecasting procedure (PLS-MOS) to set up the strong wind statistical diagnosis model of each ground observation station in the weather data acquisition subsystem, generate the average of following 1 day of each ground observation station in the weather data acquisition subsystem after the computing, the predicted value information data of maximum and extreme wind speed, intersect validity check then, the purpose of intersection validity check method is to judge whether the regression equation of h composition is better than the regression equation of h-1 composition, after increasing by 1 new composition, tangible improvement can be arranged to the forecast function of model.The statistical diagnosis model provides the result after at verification and carries out the PLS-MOS forecast.
With reference to accompanying drawing 3, the basic ideas of numerical forecasting model are: at first use power and fall the dimensional analysis method, global numerical pattern or initial, the boundary condition that provide of analysis of data again are provided, in the driving, the strong wind assessment and the forecast system of the meteorological numerical model coupling of small scale, the mesoscale wind field of 1-3km resolution and the microscale wind field of 100-200m resolution are provided, subsequently analog result is added up and fall dimensional analysis, realize the monitoring of strong wind resource tracing, forecast and assessment.In this model investigation, diagnosis wind field module was finished by two steps, as shown in Figure 3.At first, the 1km resolution wind field of WRF output is input among the CALMET as the first interpolation field, the 1km that is about to WRF forecasts that it is on the grid of 100m * 100m that the result is interpolated into CALMET diagnostic mode resolution, the adjustment of kinetic effect, inclination air-flow and the blocking effect etc. of process landform; Secondly, utilize observational data that it is carried out objective analysis, obtain high resolving power, multi-level surface layer high resolving power wind field.Utilization is that the statistical models such as MOS method of core are further done statistics to analog result and fallen dimensional analysis, fixed point assessment and forecast change of wind velocity with the partial least square method.
Wherein, large scale meteorological field: the distribution field of the meteorological element that room and time resolution is bigger (as temperature, air pressure, geopotential unit etc.).As: NCEP etc.
Local observation field: the observation station data that local some areas obtain (true).
Mesoscale landform field: space lattice is than the terrain parameter distribution field of comparatively dense.
Local landform field: the terrain parameter distribution field of space lattice very dense.
The soil utilizes: artificially to the processing on surface, soil with utilize condition information.(as arable land, reservoir, urbanization etc.)
With reference to accompanying drawing 4, each included weather station of weather data acquisition subsystem is made up of meteorological element sensor, data collection processor and the data transmission communication module etc. of electric signal connection successively, and D.C. regulated power supply provides power supply for above-mentioned each composition.
The core of data collection processor is a central microprocessor, and its major function is data acquisition, data processing, data storage and data transmission.Data collection processor is from meteorological element sensor acquisition data, by the A/D conversion process, original analog signal conversion is become the form (digital format of embodied on computer readable, binary code), cooperate corresponding software, central microprocessor is handled data according to specific algorithm, and the data of handling also form formation in accordance with regulations are stored in internal memory or the storage card temporarily, these memory modules have reserce cell usually, have higher reliability.Also have 24 hours real-time clock in the microprocessor, self has battery, even also can accurately walk under the situation that equipment has a power failure the time, is used for guaranteeing the time synchronized of automatic station equipment operational process.
Data processed is sent to central station at a distance by data transmission communication module and cordless communication network.Data transmission has multiple modes such as satellite communication, mobile communication, cable telephone network communication, VHF communication, optical fiber communication available.The automatic weather station data transmission of meteorological department adopts wireless mobile communications and optical fiber communication more at present.
With reference to accompanying drawing 5, the computer subsystem that the electrical network early warning information is handled stores following information module based on disaster caused by a windstorm early warning information management system:
1, geography information module: realize basic GIS view function and system's basic operational functions: can realize that electronic chart figure layer shows the control function of closing; On map colour code being carried out in wind, temperature, rainfall and typhoon forecast path shows; Numerical forecasting degree of showing transparency can be set.
2, weather data and Geographic Information System display module
1) can be simultaneously or show data message (very big wind, one hour rain, integral point temperature and sea-level pressure), typhoon track information and a kind of self-defining numerical forecasting format information that station automatically provides separately;
2) demonstration of control typhoon track and hide and live data shows and hides and self-defined numerical forecasting data presentation and hiding;
3) Die Jia meteorological element ejects the minute bubbles window and checks its attribute;
4) stand automatically after the data stacks the very big wind of control separately, one hour rain, integral point temperature and several data of sea-level pressure demonstration and hide;
5) after the typhoon track stack, can control the demonstration in typhoon forecast path separately and hide;
6) demonstration superposes after self-defined numerical forecasting is filtered by layer and timeliness.
3, solar or lunar halo tools module: strong wind district manufacturing system is according to the color lump of strong wind district rank correspondence, fill by clicking the closed polygon that a plurality of points of generating are formed, and polygon to carry out smoothing processing be closed curve;
4, weather data processing module and parameter are provided with module.
With reference to accompanying drawing 6, the computer subsystem of electrical network disaster caused by a windstorm evaluation process, transmission tower with each circuit is an example, the solar or lunar halo level data that the computer subsystem of handling according to the electrical network early warning information obtains, based on the overhead line structures in the irregular inquiry mode inquiry of the power grid GIS storm circle, calculate the lattice point correspondence according to shaft tower coordinate points fish and look into tables of data, thereby the numerical forecasting data of corresponding lattice point, compare according to the forecast wind speed at shaft tower place and the design wind speed of shaft tower then, assess and provide the advanced warning grade of overhead line structures based on shaft tower damage probability model.
It is same as the prior art that the present invention does not state part.
Claims (6)
1. based on the electrical network disaster caused by a windstorm early warning system of mima type microrelief wind distribution and typhoon synergistic effect, it is characterized in that: this early warning system comprises: the weather data acquisition subsystem, the computer subsystem of disaster caused by a windstorm wind speed forecast, the computer subsystem that the electrical network early warning information is handled, the computer subsystem of electrical network disaster caused by a windstorm evaluation process and information issue subsystem, above-mentioned each subsystem signal successively is electrically connected, and the weather data acquisition subsystem is gathered the timeliness weather data that a plurality of meteorological observation websites provide in the electrical network areal coverage of area under one's jurisdiction and sent into the computer subsystem that the disaster caused by a windstorm wind speed forecasts; Obtain to cover disaster caused by a windstorm wind distribution and each predicted value signal of wind speed of area under one's jurisdiction electrical network scope and send into the computer subsystem that the electrical network early warning information is handled, with wind speed predicted value signal that carries out each electric power structures place of corresponding acquisition and the computer subsystem of sending into electrical network disaster caused by a windstorm evaluation process of distributing based on the electric power structures of spatial geographic information, the design wind speed of corresponding electric power structures with each compares and the computing machine damage probability model by wherein obtains to issue subsystem in information and intuitively issues the electric power structures of demonstration and damage probability, signals such as electric power structures advanced warning grade.
2. the electrical network disaster caused by a windstorm early warning system based on mima type microrelief wind distribution and typhoon synergistic effect according to claim 1, it is characterized in that, store the geography information module in the computer subsystem that the electrical network early warning information is handled, weather data and Geographic Information System display module, solar or lunar halo is made module, weather data processing module and parameter are provided with module, wherein the geography information module realizes basic GIS view function and wind, temperature, rainfall, and typhoon forecast path colour code Presentation Function, weather data and Geographic Information System display module can be simultaneously or are showed data message (the very big wind that station automatically provides separately, one hour rain, integral point temperature and sea-level pressure), typhoon track information and a kind of self-defining numerical forecasting format information, solar or lunar halo is made the color lump of module according to strong wind district rank correspondence, the closed polygon that filling is made up of a plurality of points that click to generate, and polygon to carry out smoothing processing be that closed curve is made solar or lunar halo.
3. the electrical network disaster caused by a windstorm early warning system based on mima type microrelief wind distribution and typhoon synergistic effect according to claim 1, it is characterized in that, comprise meteorological image data standardization system that signal successively is electrically connected and the disaster caused by a windstorm models treated system of causing disaster in the computer subsystem of disaster caused by a windstorm wind speed forecast, store the weather data quality control and handle standard database in the meteorological image data standardization system, its timeliness weather data that weather data acquisition subsystem is sent into is processed into the standardization weather data and offers the disaster caused by a windstorm models treated system of causing disaster.
4. the electrical network disaster caused by a windstorm early warning system based on mima type microrelief wind distribution and typhoon synergistic effect according to claim 3, it is characterized in that, the disaster caused by a windstorm models treated system of causing disaster comprises statistical diagnosis models treated system and numerical forecasting models treated system, statistical diagnosis models treated system and numerical forecasting models treated system are plugged on respectively between the computer subsystem of meteorological image data standardization system and the processing of electrical network early warning information, simultaneously, numerical forecasting models treated system one signal output part also is connected with statistical diagnosis models treated system one signal input part, store relevant meteorological field in the numerical forecasting models treated system, the landform field, local observation field, local landform field and soil utilize data messages such as information, the standardized meteorological measuring of input and the combination of these data messages are also handled the surface layer that the back generates the certain boundary layer of tool height, wind field information when the forecast timeliness is pursued than high resolving power in statistical diagnosis models treated system head's the electrical network distributed areas, area under one's jurisdiction, and send into the computer subsystem that statistical diagnosis models treated system and electrical network early warning information are handled respectively, the standardized meteorological measuring that statistical diagnosis models treated system will import and electrical network distributed areas, area under one's jurisdiction in high resolving power by the time wind field information common computing after in the generation weather data acquisition subsystem each ground observation station 1 day future or two days on average, the predicted value information data of maximum and extreme wind speed is also sent into the computer subsystem that the electrical network early warning information is handled.
5. the electrical network disaster caused by a windstorm early warning system based on mima type microrelief wind distribution and typhoon synergistic effect according to claim 4, it is characterized in that, disaster caused by a windstorm causes disaster and also includes the verification modular processing system in the models treated system, the verification modular processing system forms closed loop with statistical diagnosis models treated system and numerical forecasting models treated system respectively and is electrically connected, statistical diagnosis models treated system and numerical forecasting models treated system will forecast that respectively wind velocity signal Value Data information input validation modular processing system and actual measurement wind speed compare, and comparing result feeds back to system separately to revise the model parameter of adjusting separately.
6. the electrical network disaster caused by a windstorm early warning system based on mima type microrelief wind distribution and typhoon synergistic effect according to claim 1, it is characterized in that, each included weather station of weather data acquisition subsystem is made up of meteorological element sensor, data collection processor and the data transmission communication module etc. of electric signal connection successively, and D.C. regulated power supply provides power supply for above-mentioned each composition.
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