CN110532319A - A kind of distribution meteorological data timing processing system - Google Patents
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Abstract
The invention discloses a kind of distributed meteorological data timing processing system, including meteorological sources data storage center, meteorological data service and grid data storing data library, the source data of meteorological sources data storage center formatted file for storing data；Grid data storing data library is for storing the uniform grid data after meteorological data service processing；The server that quantity is at least 2 is waken up by timed task, is then gone source data storage center to obtain and is parsed acquisition meteorological data；Longitude and latitude point by parsing data determines corresponding data grid, and data are injected grid；Cubic spline interpolation is carried out to the grid of data with existing, fits the data of sky data grids；The all existing meteorological data of all grid datas at this time, and uniform specification, are stored in database.Advantage of the invention is mainly that data accuracy is higher, and faster, system is more stable for data-handling efficiency, stronger for various types of data compatibilities, convenient for extension.
Description
Technical field
The present invention relates to meteorological data Timing Processing technical fields, and in particular to a kind of distribution meteorological data Timing Processing
System.
Background technique
Meteorological Services are the basic utility of economic construction, national defense construction, social development and people's lives, therefore fill
Divide and utilizes the state-of-the-art technologies such as existing meteorology, computer, network.Carry out meteorological data information research, improves Meteorological Services matter
Amount obtains meaning with important to national economy.With Information Technology Development, people to meteorological data accuracy, timeliness and
The requirement of meteorological classification integrality is also higher and higher, will data largely be calculated and be located to meet these requirements
Reason is needed to expend and be completed for quite a long time, distributed computing is by the application decomposition at many if calculated using centralization
Small part is distributed to multiple stage computers and is handled.The overall calculation time can be saved in this way, greatly improve computational efficiency,
And effectively improve the compatibility and scalability of system.It is one fine that distributed computing system is combined with process meteorological data
Process meteorological data mode.
Through investigating, industry met data system is to navigate to specific region according to the longitude and latitude of source data mostly at present, so
It directly uses afterwards, source data is also only injected by minority system for the nested grid that kept data finer and customized
With mesh point linear change after grid, true nature data variation is not met.And system is applicable in single architecture, it is difficult to adapt to each
The extension of kind of data source, cause existing process meteorological data there are disadvantages and is mainly as follows: 1, data accuracy is lower.2, due to number
Larger according to measuring, leading to processing, time-consuming, so that data update not in time.3, data compatibility is poor, and meteorological data content is single,
It is not perfect.
In order to solve the above-mentioned technical problem, special to propose a kind of new technical solution.
Summary of the invention
The purpose of the present invention is to provide a kind of distributed meteorological data timing processing systems, to solve above-mentioned background technique
The problem of middle proposition.
To achieve the above object, the invention provides the following technical scheme: a kind of distribution meteorological data timing processing system,
Include:
Meteorological sources data storage center, the source number of meteorological sources data storage center formatted file for storing data
According to；
Meteorological data service, the meteorology quantity service is made of the server that quantity is at least 2, periodically from meteorological sources
Data storage center obtains all kinds of newest meteorological files, obtains meteorological data by the parsing to file, and reflect according to longitude and latitude
Inject predefined uniform grid；
Grid data storing data library, grid data storing data library is for after storing meteorological data service processing
Uniform grid data；
The distribution meteorological data timing processing system includes following meteorological data calculation processing process:
Step 1, the server that quantity is at least 2 are waken up by timed task, and source data storage center is then gone to obtain
And parse acquisition meteorological data；
Step 2, the longitude and latitude point by parsing data determines corresponding data grid, and data are injected grid；
Step 3 carries out cubic spline interpolation to the grid of data with existing, fits the data of sky data grids；
Step 4, the at this time all existing meteorological data of all grid datas, and uniform specification, is stored in database.
Preferably, the data format file is nc, grid2, json and/or txt data format file.
Preferably, the server that the step 1 quantity is at least 2 is waken up by timed task, and source data is then gone to deposit
Storage center obtains and parses the meteorological data including nc, grid2, json or txt format, and carries out simultaneously in distributed server
Hair processing.
Preferably, the step 2 determines corresponding data by the longitude and latitude point of parsing data in existing grid model
Grid position is such as 107.0 in initial mesh longitude, and latitude 17.0, resolution ratio is warp in the grid model of 0.05*0.05
The x position for the corresponding grid of point that latitude is 107.5,18.0 marked as (107.5-107.0)/0.05=10, y location marked as
(18.0-17.0)/0.05=20, therefore data are stored in the grid marked as 10_20.
Preferably, after the operation that the empty data pass through step 2 for step 3, since the data of data source file are differentiated
Rate and uniform grid resolution ratio are inconsistent, and such as customized uniform grid resolution ratio is 0.03*0.03, and temperature data resolution ratio
Then it is 0.08*0.08, leads to have Partial Mesh data being not mapped to, so that data is sky.
Preferably, described that cubic spline interpolation fitting generation, tool are carried out by data with existing grid to empty data grids
Gymnastics conduct: grid meteorological data is calculated line by line first, using the x beginning and end of uniform grid model as section, by there is number
According to mesh point generate cubic polynomial function curve, interpolation then is carried out to empty data grids, then by column with the starting point of y and
Terminal is that section calculates once again, and the result of final sky grid data is the average value for calculating with calculating line by line by column.
Preferably, all grids of the final grid model of the step 4 all have data by mapping or algorithm fitting, and
Grid model specification is consistent, and Various types of data is numbered according to grid as major key, the entitled field of Various types of data type, deposit data
Library, to achieve the effect that merging.
Compared with prior art, advantage of the invention is mainly that data accuracy is higher, data-handling efficiency faster, system
It is more stable, it is stronger for various types of data compatibilities, convenient for extension, embody as follows:
1, accuracy: since this system data are generated by source data and meteorological dedicated cubic spline interpolation algorithm fitting,
The truthful data of parsing together mistake longitude and latitude point is mapped into grid system first and corresponds to grid, further according to the grid pair of data with existing
Abortive haul lattice carry out cubic spline interpolation, and grid system accuracy can customize, according to the different suitable nets of data source capability
Lattice resolution can utmostly be bonded truthful data, as source data source various data type resolution ratio section be 0.03*0.03~
0.3*0.3, according to 0.03*0.03 as standard mesh point, then accuracy highest, calculation amount is also maximum, takes a long time, and uses
Then accuracy is lower for the grid of 0.3*0.3, and calculation amount is smaller, time-consuming shorter.
2, data-handling efficiency: this system has used distributed theory, and data processing service is run on multiple masters
On machine, parallel processing, data-handling efficiency and number of servers are positively correlated, and the server of operation is more, does needed for every machine
Work it is fewer, handle it is faster, so that efficiency is also higher.
3, system stability, scalability: since system itself can be done and be collected for each service based on distributed
Group reduces the risk of power-off delay machine.Even extension in the future increases other meteorologies will not influence before data at
Reason service, therefore this system has very high stability and scalability.
Detailed description of the invention
Fig. 1 is present system structure design diagram.
Fig. 2 meteorological data calculation processing flow diagram of the present invention.
Fig. 3 present invention is by Data Integration into uniform grid, and grid data is no longer old-fashioned linear change or artificial
It arranges, but uses truthful data and be fitted generation, accuracy specifically for the cubic spline interpolation algorithm of process meteorological data
Higher and more fitting truthful data, it is linear to calculate and cubic spline interpolation Contrast on effect schematic diagram.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.The present invention is only used particular for the scene referred to applied to background technique, by
This is there may be other new problems since length limitation and inventor are limited to the first research and development energy of a technology, it is difficult to do
A perfect technical solution is just formed to primary research and development, therefore existing mode can be used and understood and solved.
Figure of description is please referred to, the present invention provides a kind of technical solution: a kind of distribution meteorological data Timing Processing system
System, comprising:
Meteorological sources data storage center, the source number of meteorological sources data storage center formatted file for storing data
According to；
Meteorological data service, the meteorology quantity service is made of the server that quantity is at least 2, periodically from meteorological sources
Data storage center obtains all kinds of newest meteorological files, obtains meteorological data by the parsing to file, and reflect according to longitude and latitude
Inject predefined uniform grid；
Grid data storing data library, grid data storing data library is for after storing meteorological data service processing
Uniform grid data；
The distribution meteorological data timing processing system includes following meteorological data calculation processing process:
Step 1, the server that quantity is at least 2 are waken up by timed task, and source data storage center is then gone to obtain
And parse acquisition meteorological data；
Step 2, the longitude and latitude point by parsing data determines corresponding data grid, and data are injected grid；
Step 3 carries out cubic spline interpolation to the grid of data with existing, fits the data of sky data grids；
Step 4, the at this time all existing meteorological data of all grid datas, and uniform specification, is stored in database.
Preferably, the data format file is nc, grid2, json and/or txt data format file.
Preferably, the server that the step 1 quantity is at least 2 is waken up by timed task, and source data is then gone to deposit
Storage center obtains and parses the meteorological data including nc, grid2, json or txt format, and carries out simultaneously in distributed server
Hair processing.
Preferably, the step 2 determines corresponding data by the longitude and latitude point of parsing data in existing grid model
Grid position is such as 107.0 in initial mesh longitude, and latitude 17.0, resolution ratio is warp in the grid model of 0.05*0.05
The x position for the corresponding grid of point that latitude is 107.5,18.0 marked as (107.5-107.0)/0.05=10, y location marked as
(18.0-17.0)/0.05=20, therefore data are stored in the grid marked as 10_20.
Preferably, after the operation that the empty data pass through step 2 for step 3, since the data of data source file are differentiated
Rate and uniform grid resolution ratio are inconsistent, and such as customized uniform grid resolution ratio is 0.03*0.03, and temperature data resolution ratio
Then it is 0.08*0.08, leads to have Partial Mesh data being not mapped to, so that data is sky.
Preferably, described that cubic spline interpolation fitting generation, tool are carried out by data with existing grid to empty data grids
Gymnastics conduct: grid meteorological data is calculated line by line first, using the x beginning and end of uniform grid model as section, by there is number
According to mesh point generate cubic polynomial function curve, interpolation then is carried out to empty data grids, then by column with the starting point of y and
Terminal is that section calculates once again, and the result of final sky grid data is the average value for calculating with calculating line by line by column.
Preferably, all grids of the final grid model of the step 4 all have data by mapping or algorithm fitting, and
Grid model specification is consistent, and Various types of data is numbered according to grid as major key, the entitled field of Various types of data type, deposit data
Library, to achieve the effect that merging.
Compared with prior art, advantage of the invention is mainly that data accuracy is higher, data-handling efficiency faster, system
It is more stable, it is stronger for various types of data compatibilities, convenient for extension, embody as follows:
1, accuracy: since this system data are generated by source data and meteorological dedicated cubic spline interpolation algorithm fitting,
The truthful data of parsing together mistake longitude and latitude point is mapped into grid system first and corresponds to grid, further according to the grid pair of data with existing
Abortive haul lattice carry out cubic spline interpolation, and grid system accuracy can customize, according to the different suitable nets of data source capability
Lattice resolution can utmostly be bonded truthful data, as source data source various data type resolution ratio section be 0.03*0.03~
0.3*0.3, according to 0.03*0.03 as standard mesh point, then accuracy highest, calculation amount is also maximum, takes a long time, and uses
Then accuracy is lower for the grid of 0.3*0.3, and calculation amount is smaller, time-consuming shorter.
2, data-handling efficiency: this system has used distributed theory, and data processing service is run on multiple masters
On machine, parallel processing, data-handling efficiency and number of servers are positively correlated, and the server of operation is more, does needed for every machine
Work it is fewer, handle it is faster, so that efficiency is also higher.
3, system stability, scalability: since system itself can be done and be collected for each service based on distributed
Group reduces the risk of power-off delay machine.Even extension in the future increases other meteorologies will not influence before data at
Reason service, therefore this system has very high stability and scalability.
The present invention solves data accuracy using the combination of multi-layer net system and meteorological data cubic spline interpolation algorithm
Low problem.System is based on distributed development, is different from traditional centralized data processing, can enhance system using PC cluster
Stability and scalability, combine the computational efficiency for the system of effectively improving with meteorological processing, it is convenient by it is newly-increased/remove
Mode, the new function/module of increase/reduction, so that extension of the system later period to various meteorological data types is effectively supported, with
It needs to strain, quick response, improves system availability.
The design of present system structure includes as shown in Figure 1: 1, meteorological sources data storage center: in meteorological source data storage
The heart is used to store the source data of Miscellaneous Documents, such as nc, grid2, the data format files such as json, txt.2, meteorological data service:
The meteorology quantity service is made of the server that quantity is at least 2, periodically from all kinds of newest meteorologies of meteorological sources data acquisition
File obtains meteorological data by the parsing to file, predefined uniform grid is mapped into according to longitude and latitude, for not
The grid being mapped to is generated using meteorological cubic spline interpolation fitting.3, grid data storing data library: for storing warp
Uniform grid data after meteorological data service processing.
Flow chart of data processing includes: by system business logic and meteorological data coverage area, grid resolution is generated
Customized unified standard grid, such as with initial longitude and latitude central point for (107.8,17.9), terminating longitude and latitude central point is
It (117.49,23.811) is range, resolution ratio 0.03*0.03 then collectively generates (((117.49-107.8)/0.03)+1) *
(((23.81-17.9)/0.03)+1)=64152 mesh points, and numbering is 0_0~323_197.Later in standard grid
On the basis of to data file carry out analytical Calculation.Meteorological data cubic spline interpolation algorithm: it is different from traditional direct mapping number
According to provinces and cities region is arrived, this system is by Data Integration into uniform grid, and grid data is no longer old-fashioned linear change or people
Carefully and neatly done reason, but use truthful data and be fitted generation specifically for the cubic spline interpolation algorithm of process meteorological data, accurately
It spends higher and is more bonded truthful data, it is linear to calculate with cubic spline interpolation Contrast on effect as shown in figure 3, the present invention is based on multilayers
Lattice point concurrent and the meteorological data distributed treatment algorithm successively merged: first using every kind of meteorological data as individual course net
Lattice processing, each layer meteorological data grid point distribution carries out concurrent on respective server, is independent of each other, right after the completion of calculating
Final result is successively merged, and imports the uniform grid modular system defined, efficiency is faster.
The design is it is noted that in the design, the control circuit being related to, since control each component movement and corresponding
Controlling program is all the prior art.Model and/or size between all parts of the present invention only need to be mutually adapted, and are able to achieve this
The principle of invention, other unmentioned parts all can serve as prior art understanding.On the basis of the present invention program, this
Field those of ordinary skill can make up some shortcomings in details of the present invention by logical analysis and/or reasoning, make this
Inventive technique scheme is more improved and is optimized.This application claims be only that background technique proposes the corresponding solution principle of problem
Part, and other parts, for example, how more optimized real to technical scheme progress on the basis of the application principle
Apply, realize more preferable waterproof and dustproof, buffering etc., since expansible technology point pole is more, applicant dare not excessive demand by once grinding
Hair, a patent protection are just fully completed, therefore the technical solution that the application describes clearly is only limitted to institute in corresponding background technique
Technical problems to be solved, other parts can be completed in other patent application, can also be existed by others skilled in the art
Application scheme technically continues to improve, and applies for a patent, to be optimal using effect, belong to this field it is existing known to
Mode.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (7)
1. a kind of distribution meteorological data timing processing system characterized by comprising
Meteorological sources data storage center, the source data of meteorological sources data storage center formatted file for storing data；
Meteorological data service, the meteorology quantity service is made of the server that quantity is at least 2, periodically from meteorological source data
Storage center obtains all kinds of newest meteorological files, obtains meteorological data by the parsing to file, and be mapped into according to longitude and latitude
Predefined uniform grid；
Grid data storing data library, grid data storing data library is for storing the unification after meteorological data service processing
Grid data；
The distribution meteorological data timing processing system includes following meteorological data calculation processing process:
Step 1, the server that quantity is at least 2 are waken up by timed task, then go source data storage center to obtain and solve
Analysis obtains meteorological data；
Step 2, the longitude and latitude point by parsing data determines corresponding data grid, and data are injected grid；
Step 3 carries out cubic spline interpolation to the grid of data with existing, fits the data of sky data grids；
Step 4, the at this time all existing meteorological data of all grid datas, and uniform specification, is stored in database.
2. distribution meteorological data timing processing system according to claim 1, it is characterised in that: the data format text
Part is nc, grid2, json and/or txt data format file.
3. distribution meteorological data timing processing system according to claim 2, it is characterised in that: the step 1 quantity
At least 2 servers by timed task wake up, then go source data storage center to obtain and parse including nc, grid2,
The meteorological data of json or txt format, and concurrent processing is carried out in distributed server.
4. distribution meteorological data timing processing system according to claim 1, it is characterised in that: the step 2 passes through
The longitude and latitude point for parsing data determines corresponding data grid position in existing grid model, is such as in initial mesh longitude
107.0, latitude 17.0, resolution ratio is in the grid model of 0.05*0.05, and the point of longitude and latitude 107.5,18.0 corresponds to grid
X position marked as (107.5-107.0)/0.05=10, y location will be counted marked as (18.0-17.0)/0.05=20
Grid according to deposit marked as 10_20.
5. distribution meteorological data timing processing system according to claim 1, it is characterised in that: the sky data are step
After rapid three by the operation of step 2, since the data resolution and uniform grid resolution ratio of data source file are inconsistent, such as certainly
The uniform grid resolution ratio of definition is 0.03*0.03, and temperature data resolution ratio is then 0.08*0.08, causes to have part net
Lattice data are not mapped to, so that data are sky.
6. distribution meteorological data timing processing system according to claim 5, it is characterised in that: described to empty data network
Lattice carry out cubic spline interpolation fitting by data with existing grid and generate, concrete operations are as follows: it is meteorological to calculate grid line by line first
Data, it is bent by there is the mesh point of data to generate cubic polynomial function using the x beginning and end of uniform grid model as section
Then line carries out interpolation to empty data grids, then calculate primary, final abortive haul again using the beginning and end of y as section by column
The result of lattice data is the average value for calculating with calculating line by line by column.
7. distribution meteorological data timing processing system according to claim 1, it is characterised in that: the step 4 is final
All grids of grid model all have data, and grid model specification is consistent, by Various types of data root by mapping or algorithm fitting
It is major key according to grid number, the entitled field of Various types of data type is stored in database, to achieve the effect that merging.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111103635A (en) * | 2019-12-04 | 2020-05-05 | 上海眼控科技股份有限公司 | Meteorological data processing method, system, electronic equipment and storage medium |
| CN112148774A (en) * | 2020-09-29 | 2020-12-29 | 华能新能源股份有限公司 | High-resolution spatial multi-region meteorological data processing system and method |
| CN113254417A (en) * | 2021-06-29 | 2021-08-13 | 南京满星数据科技有限公司 | Meteorological grid data service method and system based on big data technology |
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| CN102521403A (en) * | 2011-12-26 | 2012-06-27 | 南京成风大气信息技术有限公司 | Refined meteorological information service system |
| US20180188417A1 (en) * | 2017-01-03 | 2018-07-05 | UBIMET GmbH | Method for increasing the spatial resolution of a weather forecast |
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| CN112148774A (en) * | 2020-09-29 | 2020-12-29 | 华能新能源股份有限公司 | High-resolution spatial multi-region meteorological data processing system and method |
| CN112148774B (en) * | 2020-09-29 | 2023-08-11 | 华能新能源股份有限公司 | High-resolution space multi-region meteorological data processing system and method |
| CN113254417A (en) * | 2021-06-29 | 2021-08-13 | 南京满星数据科技有限公司 | Meteorological grid data service method and system based on big data technology |
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