CN108073644A - A kind of power grid meteorology mass data processing method - Google Patents
A kind of power grid meteorology mass data processing method Download PDFInfo
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- CN108073644A CN108073644A CN201611026158.1A CN201611026158A CN108073644A CN 108073644 A CN108073644 A CN 108073644A CN 201611026158 A CN201611026158 A CN 201611026158A CN 108073644 A CN108073644 A CN 108073644A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/14—Details of searching files based on file metadata
- G06F16/156—Query results presentation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/13—File access structures, e.g. distributed indices
Abstract
The present invention discloses a kind of power grid meteorology mass data processing method, includes the following steps：Step 1 classifies to all meteorological datas, according to classification and markers, meteorological data is stored in different file based database applications；Step 2, for the physical meaning of meteorological data, expanded definition its it is a variety of show form, carry out style configuration, form meteorological figure layer；Step 3, pre-rendered is carried out to meteorological data, and rendering result is carried out file storage.Such method is various for species and the great power grid meteorological data of data volume is difficult to efficiently inquiry in power grid Meteorological Information System and visualizes the problem of showing, file storage and pre-rendered are carried out for power grid meteorology mass data, so as to improve the showing of meteorological data in power grid Meteorological Information System, inquire about and statistical analysis efficiency.
Description
Technical field
The invention belongs to the power grid Meteorological Information System field in grid automation monitoring system, more particularly to a kind of power grids
Meteorological mass data processing method.
Background technology
At present, power grid scale enlargement in China's is rapid, and electric network composition is increasingly complicated.However operation of power networks faces external environment
It influences, natural calamity and extreme weather take place frequently, and trigger power grid local multi failure.Power grid by geographical location, geographical feature and
Variation and the influence of complicated climate type, meteorological disaster will be to wire pole tower, substation, transmission line of electricity, high pressure transformation
Security, transmission of electricity stability and the security of network operation personnel of the grid equipments such as device bring very big hidden danger.Therefore, power grid is cured
Hair payes attention to the construction of power grid Meteorological Information System, to improve power network safety operation level.
Power grid meteorological disaster is mainly characterized by：First, the total class of meteorological disaster it is various, it is sudden it is strong, coverage is wide.
Research shows to influence the main meteorological element of operation of power networks and Disasters Type have mountain fire, thunderstorm, congeal, typhoon, heavy rain, flood,
Haze, high temperature etc..Secondly, the data volume of meteorological data is very huge, what various meteorological professional Numerical Prediction Models were forecast every time
Data point is all extremely intensive, and with WRF, (Weather Research and Forecasting Model Study of Meso Scale Weather forecasts mould
Formula) exemplified by fine forecast, in the range of provincial region single forecast have 200,000 or so data point, data update four daily
Secondary, nationwide annual data amount reaches more than one hundred million ranks.For another example Thunderstorm Weather although even have generation, once occurs,
Number of lightning strokes in single hour i.e. up to reaching 100,000 ranks, so huge data volume cause meteorological data data exhibiting,
It is extremely inefficient when inquiry, statistics, analysis, very influence the use of system.In conclusion how efficiently to show and analyze so numerous
More meteorological datas of magnanimity again, which become power grid Meteorological Information System, to be solved the problems, such as.
In terms of the pretreatment and storage of magnanimity meteorological data, nowadays have some ripe technologies.However, in meteorological number
According to show aspect but without maturation method.The Professional Meteorologicals such as Central Meteorological Observatory website uses color spot figure picture combination tables of data more
Form show meteorological data, show compared with horn of plenty, however the resolution ratio of picture is relatively low, and not with GIS (Geographic
Information System, GIS-Geographic Information System) ways of presentation that is combined, effect is not very directly perceived, has much room for improvement.
The content of the invention
The purpose of the present invention is to provide a kind of power grid meteorology mass data processing method, various for species and several
It is difficult to efficiently inquire about and visualize the problem of showing in power grid Meteorological Information System according to great power grid meteorological data is measured, for
Power grid meteorology mass data carries out file storage and pre-rendered, so as to improve the exhibition of meteorological data in power grid Meteorological Information System
Existing, inquiry and statistical analysis efficiency.
In order to achieve the above objectives, solution of the invention is：
A kind of power grid meteorology mass data processing method, includes the following steps：
Step 1 classifies to all meteorological datas, according to classification and markers, meteorological data is stored in different
In file based database application；
Step 2, for the physical meaning of meteorological data, expanded definition its it is a variety of show form, carry out style configuration, shape
Into meteorological figure layer；
Step 3, pre-rendered is carried out to meteorological data, and rendering result is carried out file storage.
In above-mentioned steps one, the classification foundation of meteorological data includes meteorological data classification, data geometric attribute, type, number
According to capacity and the data update frequency.
In above-mentioned steps two, its coordinate points and attribute are not only shown with form of icons, while according to the reality of meteorological data
Meaning carries out data analysis and extracts contour surface generation contour surface data set, and the visualization for carrying out color spot diagram form shows.
The generation method of above-mentioned contour surface data set is：According to data characteristic, the type and key parameter of contour surface are defined；
Based on original point-type data, by interpolation analysis algorithm and interpolation parameter, raster dataset is generated；Raster dataset is based on again,
By surface analysis algorithm and contour surface parameter, extraction obtains contour surface data set.
The detailed content of above-mentioned steps two is：First determine whether the geometric type of meteorological data, if the data of point-type, directly
It connects and shows or isosurface extraction is carried out according to its feature, showed after being converted into face type data；If the data of line style,
Directly show or the closure feature according to line, be translated into face type data and showed；If the data of face type, directly
Show.
In above-mentioned steps three, pre-rendered result is the high-resolution pictures with GIS information or GIS section cachings.
Above-mentioned pre-rendered result is stored in step 1 under the catalogue where file based database application.
After using the above program, compared with prior art, the present invention with following technique effect：
(1) a kind of power grid meteorology mass data processing method is established, the magnanimity gas suitable for power grid Meteorological Information System
The efficient inquiry and visualization of image data show.
(2) realize meteorological data category, markers divides file storage method, meteorological data section is stored in number of files
According in storehouse, quick-searching, inquiry and statistical analysis are supported.
(3) meteorological figure layer pre-rendered method is realized, meteorological figure layer is rendered into high-resolution pictures or section caches,
Support meteorological data is enriched and efficiently visualized to show.
Description of the drawings
Fig. 1 is the flow chart of the present invention；
Fig. 2 is meteorological data file storage organization structure diagram；
Fig. 3 is meteorological data pre-rendered flow chart；
Fig. 4 is isosurface extraction flow chart.
Specific embodiment
As shown in Figure 1, the present invention provides a kind of power grid meteorology mass data processing method, wherein, power grid weather information system
Meteorological data in system is mainly used in two aspects：Meteorological data visualization shows and meteorological data query, the processing side
Method includes the following steps：
Step 1 classifies to all meteorological datas, according to classification and markers, meteorological data is stored in different
In file based database application；
Specifically, according to the characteristics of each meteorological data, storage strategy is formulated, although the classification of meteorological data, update
The frequency and data volume size have very big difference, but the data point of each meteorological data and the update frequency are very fixed, therefore, point
Class foundation can include meteorological data classification (mountain fire, thunder and lightning, typhoon etc.), data geometric attribute (point-type, line style, face type), class
Type (live or forecast), data capacity, data update frequency etc., while using markers as the index of meteorological data, according to front
Classification and markers, per one kind meteorological data all in accordance with year, month, day, when folder hierarchy carry out tissue, new files type number
According to storehouse and by the deposit of meteorological data section wherein, file based database application is stored under corresponding file, file based database application branch
Hold data structure definition, modeling, data read/write, inquiry, statistics etc.；By the way that meteorological data to be stored in different file type numbers
According in storehouse, avoiding the low problem of search efficiency caused by data volume is excessive when total data is stored in database.
Step 2, for the physical meaning of each meteorological data, expanded definition its it is a variety of show form, carry out pattern and match somebody with somebody
It puts, defines the patterns such as icon, filling, lines, form meteorological figure layer；
Wherein, according to the physical meaning of meteorological data, it is not limited to the geometric attribute (point, line, surface) of data, to meteorology
Data carry out visualization based on GIS (Geographic Information System, geographic information services) map and show, no
Its coordinate points and attribute are only shown with form of icons, while according to data physical meaning carry out data analysis and extract equivalence to look unfamiliar
Into contour surface data set, the visualization for carrying out color spot diagram form shows.For example, for the meteorological data of point-type, not only directly with
Form of icons shows its coordinate points and attribute.Contour surface generation face data set can be extracted according to its data physical meaning simultaneously, into
The visualization of row color spot diagram form shows.For line style data, lines figure layer is not only directly displayed.Also it is special according to the closure of lines
Property is converted into face data and is showed.For face type data, directly define its pattern and showed.
The generation method of above-mentioned contour surface data set is：According to data characteristic, the type and key parameter of contour surface are defined；
Based on original point-type data, by interpolation analysis algorithm and interpolation parameter, raster dataset is generated；Raster dataset is based on again,
By surface analysis algorithm and contour surface parameter, extraction obtains contour surface data set.
Step 3, pre-rendered is carried out to meteorological data, and rendering result is carried out file storage；
Efficiency is showed to meteorological data in order to improve system, shows feature for meteorological data, to meteorological data into
Row pre-rendered, pre-rendered result equally carry out file storage, and pre-rendered includes two kinds of forms：(1) pre-rendered is believed for a band GIS
The high-resolution pictures of breath, picture directly can be overlapped visualize in client to be showed；(2) pre-rendered is portion GIS
Section caching.Section caching can be issued as GIS service by GIS platform, and client can call service interface efficiently to be opened up
It is existing.Pre-rendered result is stored in step 1 under the catalogue where file based database application.
Pre-rendered result is supplied directly to power grid Meteorological Information System and carries out data exhibiting, avoids and first inquires about what is rendered afterwards
Poorly efficient render mode, also avoid meteorological figure layer due to data volume it is excessive caused by go out figure it is slow the problem of.
Below with reference to attached drawing, technical scheme is described in detail.
As shown in Fig. 2, be the organization chart of meteorological data file storage, either live or forecast data, meteorological number
It is typically data acquisition time or issuing time according to nearly all having markers.It is considered that classification and the markers of meteorological data
It is the key word index of meteorological data.
First against all meteorological datas, classify to it, classification foundation includes：Meteorological data classification (mountain fire, thunder
Electricity, typhoon etc.), data geometric attribute (point-type, line style, face type), type (live or forecast), data capacity, data update frequency
It is secondary.
With reference to markers and classification, data are managed using file, are realized by the rationalization of file and file big
The efficient management of data.The data of each type at each moment are stored with single file, file uses unit desktop type number
According to file (such as Sqlite), data structure definition, modeling, data read/write, inquiry, statistics etc. are supported.
Because monitoring point is changeless, monitoring point is numbered, portion is only deposited in spatial position, in each data file only
Monitoring point number is stored, its space coordinates is not deposited, to save space and raising efficiency.Python scripts are write, and establish timing
Task periodically extracts newer data from remote database and writes data file according to file and file designation rule
In DataFile.
The result of pre-rendered is also stored under current directory, and the high-resolution pictures of pre-rendered are stored in RasterFile
In, and caching of cutting into slices then is stored into TileFile.
When client carries out data query, statistics, analysis, first according to the classification of meteorological data and markers, finger is navigated to
Determine the document data bank DataFile under catalogue, browsing, inquiry, statistics and the analysis of data are carried out by DataFile.
As shown in figure 3, the visualization ways of presentation of different types of meteorological data is different.Power grid Meteorological Information System is based on
GIS carries out system and shows, and the data of the point-type such as mountain fire fire point are usually showed in GIS map in the form of icon point.Central gas
As the reporting services such as platform rainfall product is usually showed in the form of color spot figure.
According to the type of meteorological data, its geometric type (point, line or face) is first determined whether.As shown in the figure, 1,2,3 are respectively
The processing procedure of the data of point, line, surface type.
(1) it if the data of point-type, can directly show, isosurface extraction, conversion can also be carried out according to its feature
To be showed after the type data of face.Such as point data of being struck by lightning, it can directly show each thunderbolt point or can be according to thunderbolt point
Density, carry out isosurface extraction, formed thunderbolt frequency color spot figure, carry out more intuitively visualization shows；In another example it becomes more meticulous
Rainfall forecast, data are intensive geography network lattice point in itself, directly display these points and have little significance, should be extracted in data basis
Contour surface obtains the rainfall distribution of color spot figure, more intuitively.
(2) it if the data of line style, can directly show, can also face be translated into according to the closure feature of line
Type data are showed；
(3) if the data of face type, directly show.
Necessary data conversion is carried out according to more than principle, then on the basis of data set, carries out style configuration.Configuration
Content includes：Point (pel pattern, pel size fill, retouch side etc.), line (line styles, line style etc.), face (fill, retouch
Side etc.), meteorological figure layer is formed after style configuration.
Pre-rendered is carried out to meteorological figure layer, it, can be slow as high-resolution pictures or section using pre-rendered according to data characteristics
It deposits.If meteorological data belongs to the data (such as national rainfall distribution etc.) of large scale geographic range, high-resolution pictures
Meet visualization and show demand, define geographic range (rectangle frame scope), the engineer's scale of output at this time, meteorological figure layer is subjected to figure
Piece exports.If the visualization that becomes more meticulous of meteorological data needs show (such as observation lightning stroke point data, it is necessary to enlarged map to very big
Engineer's scale).At this time if also by the way of picture, it may appear that picture amplification after lack of resolution and there is asking for sawtooth
Topic.Meteorological figure layer is subjected to section caching at this time, defines engineer's scale array, geographic range, tile dimensions, tile picture format etc.
Parameter, the section that figure layer is rendered into map tile form cache.
High-resolution pictures can be directly overlapped in client to be showed.And caching of cutting into slices needs to pass through GIS platform
Map Services are issued as, client is showed by the calling of Map Services interface, ultrahigh in efficiency.
Fig. 4 is the flow chart of point-type data extraction contour surface, and the point in point-type data is dispersed distribution, and point data can be very
Location information is showed well, but is not exhibited for putting other attribute informations of itself, such as fine forecast gives
The rainfall forecast numerical value each put on 3km*3km geographic grids.But light can not know specific geographic with the position of point and numerical value
Rainfall data in region.And the principle of contour surface is used, the information that these point datas are contained table in the form of contour surface
Reveal and, be formed intuitively precipitation contour surface, the effect of visualization of data can be greatly improved with this.
The flow of isosurface extraction is as follows：
(1) according to data characteristic, the type and key parameter of contour surface are defined.The type of contour surface is divided into equidistant contour surface
(such as temperature profile is a segmentation with 5 DEG C) and Unequal distance contour surface (such as the rank of rainfall is defined as 0~10,10
~25,25~50,50~100 ...) two kinds.Key parameter includes two groups：Interpolation parameter and surface analysis parameter.Interpolation parameter
Include resolution ratio, pixel format etc..And surface analysis parameter includes：A reference value, equidistant value, equidistant array, resampling, smooth system
Number etc..
(2) based on original point data, IDW (inverse distance weight, Inverse Distance Weighted) interpolation is passed through
Parser and interpolation parameter generate raster dataset.
(3) based on raster dataset, by the isosurface extraction algorithm and contour surface parameter in GIS platform surface analysis,
Extraction obtains contour surface data set.
Summary, a kind of power grid meteorology mass data processing method of the present invention, carrying out meteorological data based on GIS map can
Show depending on change, it is necessary to carry out meteorological data visualization when showing, can directly be superimposed the high-resolution pictures of pre-rendered, can also call
The section caching Map Services of pre-rendered, in client Overlapping display pre-cache figure layer, ultrahigh in efficiency.It needs to carry out meteorological data
When inquiry, statistics, analysis, according to the classification of meteorological data and markers, to the catalogue specified under find file based database application, in text
Data retrieval is carried out in part type database, it is similary efficient.
Above example is merely illustrative of the invention's technical idea, it is impossible to protection scope of the present invention is limited with this, it is every
According to technological thought proposed by the present invention, any change done on the basis of technical solution each falls within the scope of the present invention
Within.
Claims (7)
1. a kind of power grid meteorology mass data processing method, it is characterised in that include the following steps：
Step 1 classifies to all meteorological datas, and according to classification and markers, meteorological data is stored in different files
In type database；
Step 2, for the physical meaning of meteorological data, expanded definition its it is a variety of show form, carry out style configuration, form gas
As figure layer；
Step 3, pre-rendered is carried out to meteorological data, and rendering result is carried out file storage.
2. a kind of power grid meteorology mass data processing method as described in claim 1, it is characterised in that：In the step 1,
The classification foundation of meteorological data includes meteorological data classification, data geometric attribute, type, data capacity and the data update frequency.
3. a kind of power grid meteorology mass data processing method as described in claim 1, it is characterised in that：In the step 2,
Its coordinate points and attribute are not only shown with form of icons, while data analysis is carried out according to the physical meaning of meteorological data and is extracted
Contour surface generates contour surface data set, and the visualization for carrying out color spot diagram form shows.
4. a kind of power grid meteorology mass data processing method as claimed in claim 3, it is characterised in that：The contour surface data
The generation method of collection is：According to data characteristic, the type and key parameter of contour surface are defined；Based on original point-type data, pass through
Interpolation analysis algorithm and interpolation parameter generate raster dataset；Again based on raster dataset, pass through surface analysis algorithm and equivalence
Face parameter, extraction obtain contour surface data set.
5. a kind of power grid meteorology mass data processing method as described in claim 1, it is characterised in that：The step 2 it is detailed
Carefully content is：First determine whether the geometric type of meteorological data, if the data of point-type, directly show or according to its feature into
Row isosurface extraction is showed after being converted into face type data；If the data of line style, directly show or closing according to line
Conjunction feature is translated into face type data and is showed；If the data of face type, directly show.
6. a kind of power grid meteorology mass data processing method as described in claim 1, it is characterised in that：In the step 3,
Pre-rendered result is the high-resolution pictures with GIS information or GIS section cachings.
7. a kind of power grid meteorology mass data processing method as claimed in claim 6, it is characterised in that：The pre-rendered result
It is stored in step 1 under the catalogue where file based database application.
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Cited By (8)
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| CN108776699A (en) * | 2018-06-08 | 2018-11-09 | 北京华云星地通科技有限公司 | A kind of meteorological data and satellite remote sensing date processing method and processing device |
| CN109241354A (en) * | 2018-09-20 | 2019-01-18 | 南方电网科学研究院有限责任公司 | Storage method, device, equipment and the storage medium of the technical standard data of power grid |
| CN109326200A (en) * | 2018-08-09 | 2019-02-12 | 深圳市法本信息技术股份有限公司 | Map rendering implementation method, server and the system of rainfall |
| CN109684355A (en) * | 2018-11-26 | 2019-04-26 | 北斗位通科技（深圳）有限公司 | Security protection data processing method, device, computer equipment and storage medium |
| CN109783549A (en) * | 2018-12-29 | 2019-05-21 | 成都信息工程大学 | Meteorological data visualization discovery system and method, computer, computer program |
| CN113132788A (en) * | 2021-04-21 | 2021-07-16 | 华风气象传媒集团有限责任公司 | Method and device for controlling playing of meteorological graphic scene |
| CN114882142A (en) * | 2022-05-13 | 2022-08-09 | 北京天译科技有限公司 | Graphic product processing method and system for meteorological data |
| CN116089366A (en) * | 2022-12-26 | 2023-05-09 | 国家气象信息中心(中国气象局气象数据中心) | Universal configurable unstructured meteorological data processing method and device |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108776699A (en) * | 2018-06-08 | 2018-11-09 | 北京华云星地通科技有限公司 | A kind of meteorological data and satellite remote sensing date processing method and processing device |
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| CN109241354A (en) * | 2018-09-20 | 2019-01-18 | 南方电网科学研究院有限责任公司 | Storage method, device, equipment and the storage medium of the technical standard data of power grid |
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| CN109783549A (en) * | 2018-12-29 | 2019-05-21 | 成都信息工程大学 | Meteorological data visualization discovery system and method, computer, computer program |
| CN113132788A (en) * | 2021-04-21 | 2021-07-16 | 华风气象传媒集团有限责任公司 | Method and device for controlling playing of meteorological graphic scene |
| CN114882142A (en) * | 2022-05-13 | 2022-08-09 | 北京天译科技有限公司 | Graphic product processing method and system for meteorological data |
| CN114882142B (en) * | 2022-05-13 | 2022-12-06 | 北京天译科技有限公司 | Graphic product processing method and system for meteorological data |
| CN116089366A (en) * | 2022-12-26 | 2023-05-09 | 国家气象信息中心(中国气象局气象数据中心) | Universal configurable unstructured meteorological data processing method and device |
| CN116089366B (en) * | 2022-12-26 | 2023-09-01 | 国家气象信息中心(中国气象局气象数据中心) | Universal configurable unstructured meteorological data processing method and device |
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