CN104615811A - Mapping method for electric transmission line freezing weather risk level distribution diagram - Google Patents
Mapping method for electric transmission line freezing weather risk level distribution diagram Download PDFInfo
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- CN104615811A CN104615811A CN201510035367.1A CN201510035367A CN104615811A CN 104615811 A CN104615811 A CN 104615811A CN 201510035367 A CN201510035367 A CN 201510035367A CN 104615811 A CN104615811 A CN 104615811A
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Abstract
The invention discloses a mapping method for an electric transmission line freezing weather risk level distribution diagram. On the basis of a grid meteorological element forecast grid map (10.0*10.0 km) provided by a meteorological observatory, a relation model of grid meteorological element values and freezing weather risk levels is built, then the freezing weather risk levels of all the grid points can be obtained, the grid points are guided into Arcgis software, and the freezing weather risk level distribution diagram is obtained through color filing and smoothing. The freezing weather risk level distribution diagram mapped through the method can forecast the freezing weather risk levels of all areas in the next 2-3 days, and provide early warning and aid decision making information for icing prevention and resistance work in the ice covering period of a power grid.
Description
Technical field
The present invention relates to electrical network defeated modified line road technique field, and relate to a kind of transmission line of electricity freezing Weather Risk ranking score Butut mapping method more specifically.
Background technology
In recent years, the situation showed increased of transmission line of electricity generation freezing disaster, once serious freezing disaster occurs and do not have Forewarning Measures to cause the serious icing of circuit even wire breaking and tower falling accident, can cause large-area power failure, affect power network safety operation.Therefore, early warning is in advance carried out to serious freezing Weather Risk and has become the critical problem that current power transmission circuit is badly in need of solution, and how to determine freezing Weather Risk region and the order of severity, become the factor of overriding concern of dealing with problems.
The drawing of freezing Weather Risk ranking score Butut improves the important component part that electrical network resists icing density ability, the work of Anti-icing of Transmission Lines anti-ice can be instructed to provide early warning and decision-making assistant information for grid company in the icing phase.Current freezing Weather Risk ranking score Butut is on the basis based on the weather phenomenon forecast data to somewhere, divides freezing disaster risk class by administrative area.This division methods is relatively more rough, the relation of not energetic meteorological factor and risk class.Therefore, utilize existing weather phenomenon forecast data to divide Weather Risk hierarchical region, truly can not reflect on-site actual situations, but also there is blind area.
Summary of the invention
The object of the invention is the shortcoming and defect overcoming the existence of existing drafting freezing Weather Risk ranking score Butut, a kind of transmission line of electricity of high effective quantization freezing Weather Risk ranking score Butut mapping method is provided, namely the relational model in conjunction with meteorological element and freezing Weather Risk grade draws freezing Weather Risk ranking score Butut, for grid company instructs the work of Anti-icing of Transmission Lines anti-ice to provide early warning information in the icing phase.
For achieving the above object, technical scheme of the present invention is as follows:
A kind of transmission line of electricity freezing Weather Risk ranking score Butut mapping method, described plot step comprises:
(1) the lattice point prediction of various weather constituents grid map that observatory provides is collected;
(2) by the statistical study to meteorological data, draw the span of the meteorological factor close with freezing Weather Risk hierarchical relationship, set up the relational model of meteorological factor and freezing Weather Risk grade;
(3) the meteorological element property value of each lattice point in lattice point prediction of various weather constituents grid map is imported in the relational model of meteorological factor and freezing Weather Risk grade, obtain the freezing Weather Risk grade of each lattice point, form the lattice point field data of lattice point prediction of various weather constituents grid map with freezing Weather Risk grade;
(4) described lattice point field data being imported in GIS software, obtaining freezing Weather Risk distribution of grades grid map by playing up to color in each lattice point freezing Weather Risk grade;
(5) freezing Weather Risk ranking score Butut is obtained after vector polar plot smoothing processing being turned to freezing Weather Risk distribution of grades grid map execution grid map in GIS software.
Further, described lattice point prediction of various weather constituents grid map also comprises border, the one's respective area layer file that matches as base map.
Further, the lattice point meteorological element of described lattice point prediction of various weather constituents grid map comprises temperature, humidity and wind direction.
Further, described lattice point prediction of various weather constituents grid map comprises the lattice point meteorological element of following 24 hours, 48 hours, 72 hours.
Further, the meteorological factor of the relational model of described meteorological factor and freezing Weather Risk grade comprises temperature, humidity and wind direction.
Further, according to the meteorological factor span of temperature, humidity, wind direction, determine the freezing Weather Risk grade of level Four of 0 grade corresponding with span, 1 grade, 2 grades and 3 grades.
Further, described method also comprises and adjusts freezing Weather Risk grade according to weather forecast.
Further, described GIS software is ArcGis application platform
Further, the fusion tool of employing ArcGis application platform is played up to color in each lattice point freezing Weather Risk grade and is obtained freezing Weather Risk distribution of grades grid map.
Further, adopt the grid of ArcGis application platform to turn tool vector and vector median filters is carried out to freezing Weather Risk distribution of grades grid map, and complete the drafting of transmission line of electricity freezing Weather Risk ranking score Butut with the smoothing process of smoothing processing instrument of ArcGis application platform.
Beneficial effect of the present invention is:
1, draw freezing Weather Risk ranking score Butut based on many meteorological factors and freezing Weather Risk Grade Model, can reflect exactly and cover all regions by the time and space idea that the freezing Weather Risk grade of transmission line of electricity occurs;
2, there is standardization and draw flow process, easy to utilize;
3, adopt the raster data of observatory's standard and Vector Electronic Map as inputting data, method itself also can be cured as computer program algoritic module, and accuracy is high, easy to use; ;
4, being applicable to grid company instructs the work of Anti-icing of Transmission Lines anti-ice to provide early warning information in the icing phase.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is method flow diagram of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
A kind of transmission line of electricity of the present invention freezing Weather Risk ranking score Butut mapping method suffers the problem of the Effect of Natural Disaster electric power transfer safety such as ice and snow for transmission line of electricity in cold meteorological condition lower area, meteorological element is adopted to draw freezing Weather Risk ranking score Butut with the relational model of freezing Weather Risk grade in conjunction with GIS software platform, for the freezing Weather Risk of transmission line of electricity provides early warning and detection.
A kind of transmission line of electricity of the present invention freezing Weather Risk ranking score Butut mapping method is divided into Data Collection and mapping two parts.The data of weather forecast inputting mathematical model collected from observatory by the statistical study founding mathematical models to Historical Meteorological Information, and is analyzed by data collection section, and mapping part adopts current domestic general GIS software platform ARCGIS.The computer system that ARCGIS platform is made up of hardware, software and spatial data, the acquisition of geographical spatial data, management, operation, analysis, modelling and display can be supported, to solve the problems such as complicated planning and management, through calculating transmission line of electricity freezing Weather Risk ranking score Butut after the analysis result of mathematical model is input to ARCGIS platform.
Fig. 1 is the method flow diagram of detailed step of the present invention.
As shown in Figure 1, a kind of transmission line of electricity of the present invention freezing Weather Risk ranking score Butut mapping method comprises:
Step one, first collects the lattice point prediction of various weather constituents grid map that observatory provides.
In order to improve the level of coverage of estimation range, the lattice point prediction of various weather constituents grid map collected comprises in following 24 hours, 48 hours, 72 hours, lattice point meteorological element in the region of 10.0 × 10.0km, lattice point meteorological element comprises temperature, humidity, wind direction, weather four elements.Lattice point prediction of various weather constituents grid map coupling has corresponding this area Administrative boundaries layer file as base map.
Step 2, by the statistical study to meteorological data, draws the span of the meteorological factor close with freezing Weather Risk hierarchical relationship, sets up the relational model of meteorological factor and freezing Weather Risk grade.
Described relational model is as shown in the table, and the relational model of described meteorological factor and freezing Weather Risk grade comprises temperature, humidity, wind direction and other weather phenomena four meteorological elements.Model is according to the meteorological factor span of temperature, humidity, wind direction and other weather phenomena, determine the freezing Weather Risk grade of the level Four corresponding with span, determine that level Four risk class comprises 0 grade (nothing), 1 grade (lighter), 2 grades (heavier) and 3 grades (seriously).
As shown above, as minimum operation temperature T
minbe more than or equal to 2 DEG C or maximum allowable operating temperature (M.A.O.T.) T
maxwhen being more than or equal to 5 DEG C, current freezing Weather Risk grade is 0 grade, without freezing Weather Risk; As minimum operation temperature T
minbe more than or equal to 0 DEG C and be less than or equal to 2 DEG C, and current relative humidity is more than or equal to 85% is less than 95%, and current wind direction is when being a kind of in southwester or south wind, meet above 3 current freezing Weather Risk grades of condition is 1 grade simultaneously, has lighter freezing Weather Risk; As minimum operation temperature T
minbe more than or equal to-22 DEG C and be less than etc. 0 DEG C simultaneously, and current relative humidity is more than or equal to 98% is less than 100%, and when current wind direction is northeaster, current freezing Weather Risk grade is 2 grades, has more serious freezing Weather Risk; As minimum operation temperature T
minbe less than-2 DEG C, and when current relative humidity is 100%, and when current wind direction is a kind of in east wind or southeaster, meet the above current freezing Weather Risk grade of 3 condition is 3 grades simultaneously, has serious freezing Weather Risk.
The relational model of described meteorological factor and freezing Weather Risk grade also needs by adjusting current freezing Weather Risk grade when the weather forecast in region.As a preferred embodiment, if current freezing Weather Risk grade be less than 4 grades and weather forecast be sleet or snowfall time, current freezing Weather Risk grade improves one-level.
Step 3, after finish relation model, the meteorological element property value of each lattice point in lattice point prediction of various weather constituents grid map is imported in the relational model of meteorological factor and freezing Weather Risk grade, obtain the freezing Weather Risk grade of each lattice point, form the lattice point field data lattice point prediction of various weather constituents grid map comprised with freezing Weather Risk grade.
Step 4, imports in ARCGIS platform software by described lattice point field data, adopts the fusion tool of ArcGis application platform to the freezing Weather Risk grade of each lattice point.
Step 5, adopt the grid of ArcGis application platform to turn tool vector and vector median filters is carried out to freezing Weather Risk distribution of grades grid map, and complete the drafting of transmission line of electricity freezing Weather Risk ranking score Butut with the smoothing process of smoothing processing instrument of ArcGis application platform.
The present invention is based on lattice point prediction of various weather constituents grid map (10.0 × 10.0km) basis that observatory provides, by building the relational model of lattice point meteorological element value and freezing Weather Risk grade, obtain the freezing Weather Risk grade of each lattice point, imported to by these lattice points in Arcgis software, by coloring in, smoothing processing obtains freezing Weather Risk ranking score Butut.Adopt the freezing Weather Risk ranking score Butut of this method mapping, the freezing Weather Risk grade in all regions in following 2-3 days can be forecast, for the anti-icing anti-ice work in the electrical network icing phase provides early warning and decision-making assistant information.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. a transmission line of electricity freezing Weather Risk ranking score Butut mapping method, it is characterized in that, described plot step comprises:
(1) the lattice point prediction of various weather constituents grid map that observatory provides is collected;
(2) by the statistical study to meteorological data, draw the span of the meteorological factor close with freezing Weather Risk hierarchical relationship, set up the relational model of meteorological factor and freezing Weather Risk grade;
(3) the meteorological element property value of each lattice point in lattice point prediction of various weather constituents grid map is imported in the relational model of meteorological factor and freezing Weather Risk grade, obtain the freezing Weather Risk grade of each lattice point, form the lattice point prediction of various weather constituents grid map of the lattice point field data with freezing Weather Risk grade;
(4) described lattice point field data being imported in GIS software, obtaining freezing Weather Risk distribution of grades grid map by playing up to color in each lattice point freezing Weather Risk grade;
(5) freezing Weather Risk ranking score Butut is obtained after vector polar plot smoothing processing being turned to freezing Weather Risk distribution of grades grid map execution grid map in GIS software.
2. a kind of transmission line of electricity as claimed in claim 1 freezing Weather Risk ranking score Butut mapping method, is characterized in that, described lattice point prediction of various weather constituents grid map also comprises border, the one's respective area layer file that matches as base map.
3. a kind of transmission line of electricity as claimed in claim 2 freezing Weather Risk ranking score Butut mapping method, is characterized in that, the lattice point meteorological element of described lattice point prediction of various weather constituents grid map comprises temperature, humidity and wind direction.
4. a kind of transmission line of electricity as claimed in claim 3 freezing Weather Risk ranking score Butut mapping method, is characterized in that, described lattice point prediction of various weather constituents grid map comprises the lattice point meteorological element of following 24 hours, 48 hours, 72 hours.
5. a kind of transmission line of electricity as claimed in claim 1 freezing Weather Risk ranking score Butut mapping method, it is characterized in that, the meteorological factor of the relational model of described meteorological factor and freezing Weather Risk grade comprises temperature, humidity and wind direction.
6. a kind of transmission line of electricity as claimed in claim 5 freezing Weather Risk ranking score Butut mapping method, it is characterized in that, according to the meteorological factor span of temperature, humidity, wind direction, determine the freezing Weather Risk grade of level Four of 0 grade corresponding with span, 1 grade, 2 grades and 3 grades.
7. a kind of transmission line of electricity as claimed in claim 6 freezing Weather Risk ranking score Butut mapping method, is characterized in that, described method also comprises and adjusts freezing Weather Risk grade according to weather forecast.
8. a kind of transmission line of electricity as claimed in claim 1 freezing Weather Risk ranking score Butut mapping method, it is characterized in that, described GIS software is ArcGis application platform.
9. a kind of transmission line of electricity as claimed in claim 8 freezing Weather Risk ranking score Butut mapping method, it is characterized in that, the fusion tool of employing ArcGis application platform is played up to color in each lattice point freezing Weather Risk grade and is obtained freezing Weather Risk distribution of grades grid map.
10. a kind of transmission line of electricity as claimed in claim 9 freezing Weather Risk ranking score Butut mapping method, it is characterized in that, adopt the grid of ArcGis application platform to turn tool vector and vector median filters is carried out to freezing Weather Risk distribution of grades grid map, and complete the drafting of transmission line of electricity freezing Weather Risk ranking score Butut with the smoothing process of smoothing processing instrument of ArcGis application platform.
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| CN106781229A (en) * | 2016-11-15 | 2017-05-31 | 国网四川省电力公司电力科学研究院 | Coated by ice of overhead power transmission line method for early warning |
| CN107688906A (en) * | 2017-09-04 | 2018-02-13 | 北京玖天气象科技有限公司 | The transmission line of electricity meteorological element NO emissions reduction analysis system and method for multi-method fusion |
| CN107704713A (en) * | 2017-10-31 | 2018-02-16 | 合肥天鹰高科技有限公司 | A kind of transmission line forest fire is distributed appraisal procedure |
| CN109408604A (en) * | 2018-09-20 | 2019-03-01 | 国电南瑞科技股份有限公司 | Transmission line of electricity is associated with weather conditions data gridding processing method, apparatus and system |
| CN111912537A (en) * | 2020-07-31 | 2020-11-10 | 中国科学院地理科学与资源研究所 | High-temperature real-time early warning issuing and displaying method, system and equipment based on grid |
| CN112800155A (en) * | 2020-08-21 | 2021-05-14 | 特变电工新疆新能源股份有限公司 | Wind power plant macro site selection method for frozen weather |
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106781229A (en) * | 2016-11-15 | 2017-05-31 | 国网四川省电力公司电力科学研究院 | Coated by ice of overhead power transmission line method for early warning |
| CN107688906A (en) * | 2017-09-04 | 2018-02-13 | 北京玖天气象科技有限公司 | The transmission line of electricity meteorological element NO emissions reduction analysis system and method for multi-method fusion |
| CN107688906B (en) * | 2017-09-04 | 2021-11-09 | 北京玖天气象科技有限公司 | Multi-method fused transmission line meteorological element downscaling analysis system and method |
| CN107704713B (en) * | 2017-10-31 | 2021-01-29 | 国网安徽省电力有限公司电力科学研究院 | Power transmission line forest fire distribution evaluation method |
| CN107704713A (en) * | 2017-10-31 | 2018-02-16 | 合肥天鹰高科技有限公司 | A kind of transmission line forest fire is distributed appraisal procedure |
| CN109408604A (en) * | 2018-09-20 | 2019-03-01 | 国电南瑞科技股份有限公司 | Transmission line of electricity is associated with weather conditions data gridding processing method, apparatus and system |
| CN109408604B (en) * | 2018-09-20 | 2022-08-09 | 国电南瑞科技股份有限公司 | Grid processing method, device and system for data of weather factors associated with power transmission line |
| CN112818073A (en) * | 2019-11-15 | 2021-05-18 | 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 | Method for determining meteorological icing position of power transmission line |
| CN112818073B (en) * | 2019-11-15 | 2022-12-09 | 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 | Method for determining meteorological icing position of power transmission line |
| CN111912537A (en) * | 2020-07-31 | 2020-11-10 | 中国科学院地理科学与资源研究所 | High-temperature real-time early warning issuing and displaying method, system and equipment based on grid |
| CN112800155A (en) * | 2020-08-21 | 2021-05-14 | 特变电工新疆新能源股份有限公司 | Wind power plant macro site selection method for frozen weather |
| CN112800155B (en) * | 2020-08-21 | 2023-04-18 | 特变电工新疆新能源股份有限公司 | Wind power plant macro site selection method for frozen weather |
| CN113537846A (en) * | 2021-09-17 | 2021-10-22 | 国网江西省电力有限公司电力科学研究院 | Meteorological disaster-based risk analysis method and system for power transmission and distribution line tower |
| CN113537846B (en) * | 2021-09-17 | 2021-12-31 | 国网江西省电力有限公司电力科学研究院 | Meteorological disaster-based risk analysis method and system for power transmission and distribution line tower |
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Application publication date: 20150513 |