CN107247862A - The processing of gaseous substance observation data and Application way and its device - Google Patents

The processing of gaseous substance observation data and Application way and its device Download PDF

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Publication number
CN107247862A
CN107247862A CN201610187276.4A CN201610187276A CN107247862A CN 107247862 A CN107247862 A CN 107247862A CN 201610187276 A CN201610187276 A CN 201610187276A CN 107247862 A CN107247862 A CN 107247862A
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China
Prior art keywords
gaseous substance
data
mesh
observation
mesh point
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CN201610187276.4A
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清水勇人
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Hitachi Ltd
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Hitachi Ltd
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Priority to CN201610187276.4A priority Critical patent/CN107247862A/en
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16ZINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00Subject matter not provided for in other main groups of this subclass

Abstract

According to the invention it is proposed that processing and the Application way of a kind of gaseous substance observation data, including:Using each gaseous substance observation station in observation area as summit, multiple triangular mesh are marked off;For each of the multiple triangular mesh, the gaseous substance observation data that three gaseous substance observation stations as the three of the triangular mesh summits are observed are mapped on each mesh point on the map that the triangular mesh is surrounded, and generate mesh point gaseous substance data;And be predicted the mesh point gaseous substance data to each mesh point gaseous substance data after the scheduled time beneficial to the gaseous substance forecast model set up as primary data.

Description

The processing of gaseous substance observation data and Application way and its device
Technical field
The present invention relates to a kind of processing of gaseous substance observation data and Application way and its device, Can improve efficiency and the degree of accuracy of collection and processing that data are observed gaseous substance, further The efficiency and standard that the gaseous substance prediction that data are carried out is observed using these gaseous substances can be improved Exactness.
Background technology
With the high speed development of modernization construction, air environmental pollution problem is increasingly serious, to city Natively the fragile ecosystem causes immense pressure in city region;Urbanization process is to city All being generated in terms of atmosphere quality, urban wind, atmospheric temperature, precipitation, mist etc. can not The influence of ignorance, result in urban air pollution exacerbation, acid rain, city fog calamity etc. each side Atmospheric environment problem;The problem has become the study hotspot and emphasis of international academic community.
With prevention and cure of air pollution and the development of research work, in the urgent need to understanding air pollution Influence and variation tendency, are that the forecast of this air pollution is arisen at the historic moment;Study Atmospheric Diffusion basic The pattern basic problem to be solved, is that turbulent flow is propagated with plume and the relation of material concentration decay is asked Topic;Three kinds of theories of this problem extensive utilization, i.e. gradient transfer theory, statistics reason are handled at present By and the theory of similarity;During using these theories to be studied, there are three kinds of methods again, i.e.,:Number It is worth the simulation-search technique in analytic approach, field study method and laboratory.
Air Pollution Forecast will be influenceed in maximum air from environment gathered data, and on urban district Important pollutant is evaluated;For this reason, it may be necessary to from (to correct sometimes) or set up air Pollution prediction model, determine in free atmosphere the motion of air micelle by pressure gradient-force, gravity and The influence situation of geostrophic deviating force, if moved along a curved path, is also influenceed by centrifugal inertial force, But without frictional force;These power, determine the equation of motion of air micelle.By air micelle The equation of motion, to equation solution, can be obtained not according to specific initial conditions and boundary condition Same atmospheric dispersion model, so as to set up corresponding forecast model.
As has been mentioned, gaseous substance (such as air pollutants) prediction is being carried out When, firstly, it is necessary to by such as gaseous substance observation station to diverse location in such as city at Gaseous substance situation or concentration value (for example, PM2.5 concentration value) are observed, and can so be received Collect the gaseous substance observation data at different observation stations.Then, in order in gaseous substance Data are observed, it is necessary to observe number to the gaseous substance being collected into using these gaseous substances during prediction According to being handled.Way general at present is that these gaseous substances are observed into Data Matching to map On observation area in mesh point of interest on.So-called mesh point is usually by map Observation area is equally spaced divided into quadrangle (such as rectangle and square) on longitude and dimension Grid point formed by grid.
Fig. 1 schematically illustrates used in the prior art by gaseous substance observation data mapping Data mapping mode onto some mesh point of interest.In the data mapping method shown in Fig. 1 In, φ1, φ2..., φMRepresent the gaseous substance observed at M gaseous substance observation station Data are observed, the position on map corresponding to it is the ground residing for each gaseous substance observation station Position is managed, can be represented with abscissa x and ordinate y.For the ease of illustrating, as It is assumed that this M gaseous substance observation station is not on mesh point.
Here, it is necessary to by φ1, φ2..., φMIt is mapped to mesh point (x of interesti, yj) On, generate mesh point gaseous substance dataSpecifically can next life networking in the following ways Lattice point gaseous substance data
Wherein
And
Here, xkAnd ykIt is gaseous substance observation station k x coordinate and y-coordinate respectively.xiAnd yjIt is Mesh point (x of interesti, yj) place x coordinate and y-coordinate.
, it is necessary to which M gaseous substance observation station is seen in data mapping mode as described above The gaseous substance observation data φ measured1, φ2..., φMUsing its each with net of interest Lattice point (xi, yj) the distance between inverse be weighted, then the data after weighting are entered The capable sum-average arithmetic that counts, so as to generate mesh point (x of interesti, yj) place gaseous substance DataIn such available data mapping mode, with gaseous substance observation station, with And the increasing number of mesh point of interest, amount of calculation will be sharply increased, or even calculated and can be become Obtaining to realize.So, the collection and processing of gaseous substance observation data will become very low Effect is inaccurate, and the gaseous substance prediction of data is further observed using these gaseous substances It can become very poorly efficient or inaccurate.
The content of the invention
In order to overcome the drawbacks described above of prior art to propose the present invention.Therefore, mesh of the invention One of be processing and Application way and its device for proposing a kind of gaseous substance observation data, energy The enough efficiency for improving collection and the processing of observing gaseous substance data and the degree of accuracy, are further able to It is enough to improve the efficiency and accurately that the gaseous substance prediction that data are carried out is observed using these gaseous substances Degree.
To achieve these goals, according to the invention it is proposed that a kind of gaseous substance observes data Processing and Application way, including:It regard each gaseous substance observation station in observation area as top Point, marks off multiple triangular mesh;, will for each of the multiple triangular mesh The air observed as three gaseous substance observation stations on three summits of the triangular mesh Material observation data are mapped on each mesh point on the map that the triangular mesh is surrounded, Generate mesh point gaseous substance data;And using the mesh point gaseous substance data as initial Data, come empty to each mesh point after the scheduled time beneficial to the gaseous substance forecast model set up Gas substance data is predicted.
Preferably, according to the present invention, by the use of three coefficients to the three of the triangular mesh will be used as The gaseous substance observation data that three gaseous substance observation stations on individual summit are observed are weighted And sum, so as to generate mesh point gaseous substance data.
Preferably, according to the present invention, the gaseous substance observation data respectively have to be contained in air The concentration value of evil composition.
Preferably, according to the present invention, the mesh point on the map is by the sight on map Survey region and grid point formed by quadrilateral mesh is equally spaced divided on longitude and dimension.
In addition, according to the invention it is proposed that a kind of gaseous substance observes the processing and utilization of data Device, including:Using each gaseous substance observation station in observation area as summit, mark off many The unit of individual triangular mesh;For each of the multiple triangular mesh, will be used as should The gaseous substance that three gaseous substance observation stations on three summits of triangular mesh are observed is seen Survey data to be mapped on each mesh point on the map that the triangular mesh is surrounded, generate net The unit of lattice point gaseous substance data;And using the mesh point gaseous substance data as initial Data, come empty to each mesh point after the scheduled time beneficial to the gaseous substance forecast model set up The unit that gas substance data is predicted.
In accordance with the invention it is possible to improve the efficiency of collection and the processing of observing gaseous substance data And the degree of accuracy, it is further able to improve and observes the air thing that data are carried out using these gaseous substances The efficiency of matter prediction and the degree of accuracy.
Brief description of the drawings
By reference to the detailed description of accompanying drawing, above object and advantages of the invention will become more clear Chu, wherein:
Fig. 1 be schematically illustrate it is used in the prior art by gaseous substance observation data reflect The figure for the data mapping mode being mapped on some mesh point of interest.
Fig. 2 is to schematically illustrate mapping gaseous substance observation data employed in the present invention The figure of data mapping mode on to some mesh point of interest.
Fig. 3 is to show all gaseous substance observation stations of observation area connecting into network of triangle The schematic diagram in hole.
Fig. 4 is for illustrating observing number using the gaseous substance of mobile model gaseous substance observation station According to the schematic diagram that triangular mesh how is newly formed when carrying out data mapping.
Fig. 5 be show the observation data of gaseous substance according to an embodiment of the invention processing and The flow chart of Application way.
Embodiment
The preferred embodiments of the present invention are described below with reference to the accompanying drawings.In the accompanying drawings, identical member Part will be represented by identical reference symbol or numeral.In addition, in the description below of the present invention, The specific descriptions to known function and configuration will be omitted, to avoid making subject of the present invention unclear.
Below, by Fig. 2 is combined describe that gaseous substance is observed into data employed in the present invention It is mapped to the data mapping mode on some mesh point of interest.It is to be herein pointed out " gaseous substance " occurred in the present invention not merely includes the pollutant or various in air Not exclusively harmful material included in harmful substance or chemical composition, in addition to air is even Innocuous substance.
In the data mapping mode shown in Fig. 2, it is necessary to by any three gaseous substance observation stations A, B, C connect into triangular mesh.The air that each summit A, B, C of triangular mesh are observed Material observation data are respectively φA, φBAnd φC.It is then possible to by the air of three apexes Material observation data φA, φBAnd φCIt is respectively mapped to each grid surrounded in triangular mesh Point on.In fig. 2, as an example, institute in the triangular mesh formed by summit A, B, C The quantity of the mesh point surrounded is three, but it is clear that the present invention is not limited to this.
Below for the mesh point (x surrounded in the triangular mesh in Fig. 2i, yj) illustrate How the gaseous substance observed to each summit A, B, C of triangular mesh observes data φA、 φBAnd φCMapped.For other the two mesh point (x surrounded in triangular meshi, yj+1) and (xi+1, yj), because data mapping method is similar, therefore repeat no more.
Here it is possible to which each summit A, B, C of triangular mesh are seen using following formula The gaseous substance observation data φ measuredA、φBAnd φCIt is mapped as mesh point (xi, yj) place Gaseous substance data
Wherein,
Wherein,
Here, (xA, yA)、(xB, yB) and (xC, yC) respectively represent triangular mesh each top Point A, B, C x coordinate and y-coordinate.
As it appears from the above, above three coefficient can be passed throughWithRespectively to each top Gaseous substance observation data φ A, the φ B and φ C that point A, B, C are observed are weighted and asked With so as to try to achieve mesh point (xi, yj) place gaseous substance data
Mapped by as implied above, only can observe data and three by three gaseous substances Individual coefficient tries to achieve the sky of mesh point of concern (in triangular mesh included mesh point) Gas substance data.With the sky above by utilization M (being much larger than three) gaseous substance observation station Gas material is observed data and M weighted value and observed to try to achieve the gaseous substance of mesh point of concern The data mapping method of the prior art of data is compared, and amount of calculation and intermediate data (are for example weighted Coefficient) amount of storage can greatly reduce, improve to gaseous substance observe data collection and The efficiency of processing and the degree of accuracy, are further increased and are carried out using these gaseous substances observation data Gaseous substance prediction efficiency and the degree of accuracy.
Fig. 3 is to show all gaseous substance observation stations of observation area connecting into network of triangle The schematic diagram in hole.
As shown in Figure 3, it is possible to use various known triangular mesh generation techniques come to observation All gaseous substance observation stations in region are handled, and these gaseous substance observation stations are made respectively For vertex of a triangle, so as to form multiple triangular mesh in observation area.So formed Three summits of each triangular mesh are gaseous substance observation station.On this basis, can be with Three apexes of each triangular mesh are observed using the data mapping method shown in Fig. 2 Gaseous substance observation data be mapped as the air of each mesh point surrounded in the triangular mesh Substance data.It is then possible to based on the whole area of observation coverage obtained by above-mentioned data mapping method Each mesh point gaseous substance data in domain, come to pre- beneficial to the gaseous substance forecast model set up Each mesh point gaseous substance data after fixing time are predicted.On gaseous substance forecast model Specific method for building up can be will not be repeated here using various known modeling methods.
Fig. 4 is for illustrating observing number using the gaseous substance of mobile model gaseous substance observation station According to the schematic diagram that triangular mesh how is newly formed when carrying out above-mentioned data mapping.
As shown in figure 4, surround determine special air material occurring source it is mesh point, by It is empty that mobile model has been moved into the triangular mesh ABC that three gaseous substance observation stations A, B, C are constituted During gas material observation station P, or select in the triangular mesh ABC mobile model on the move empty Gas material observation station P simultaneously uses the air thing observed at mobile model gaseous substance observation station P Matter observes data to carry out during the mapping of above-mentioned data, can use newly formed triangular mesh ABP, BCP, CAP map to perform above-mentioned data.
Fig. 5 be show the observation data of gaseous substance according to an embodiment of the invention processing and The flow chart of Application way.
As shown in figure 5, the method according to the invention, will be each in observation area in step 401 Gaseous substance observation station marks off multiple triangular mesh as summit.Then, in step 403, For each of the multiple triangular mesh, the three of the triangular mesh summits will be used as Three gaseous substance observation stations observed gaseous substance observation data be mapped to the triangle On each mesh point on the map that mesh is surrounded, mesh point gaseous substance data are generated.Most Afterwards, in step 405, using the mesh point gaseous substance data as primary data, beneficial to being built Vertical gaseous substance forecast model to carry out each mesh point gaseous substance data after the scheduled time Prediction.
It is enumerated above some specific embodiments to elaborate the present invention, this few example is only used for Illustrate the principle and its implementation of the present invention, rather than limitation of the present invention, do not depart from this In the case of the spirit and scope of invention, those skilled in the art can also make various modifications And improvement.Therefore, the present invention should not be limited by above-described embodiment, and should be wanted by appended right Ask and its equivalent is limited.

Claims (5)

1. processing and the Application way of a kind of gaseous substance observation data, including:
Using each gaseous substance observation station in observation area as summit, multiple triangles are marked off Mesh;
For each of the multiple triangular mesh, the three of the triangular mesh will be used as Gaseous substance that three gaseous substance observation stations on summit are observed observation data be mapped to this three On each mesh point on the map that angular mesh is surrounded, mesh point gaseous substance data are generated; And
Using the mesh point gaseous substance data as primary data, beneficial to the air thing set up Matter forecast model is predicted to each mesh point gaseous substance data after the scheduled time.
2. according to the method described in claim 1, wherein,
By the use of three coefficients to three air things on the three of the triangular mesh summits will be used as The gaseous substance observation data that matter observation station is observed are weighted and summed, so as to generate net Lattice point gaseous substance data.
3. according to the method described in claim 1, wherein,
The gaseous substance observation data are the concentration value of contained each harmful components in air.
4. according to the method described in claim 1, wherein,
Mesh point on the map is in longitude and dimension by the observation area on map On be equally spaced divided into grid point formed by quadrilateral mesh.
5. a kind of gaseous substance observes the processing of data and utilizes device, including:
Using each gaseous substance observation station in observation area as summit, multiple triangles are marked off The unit of mesh;
For each of the multiple triangular mesh, the three of the triangular mesh will be used as Gaseous substance that three gaseous substance observation stations on summit are observed observation data be mapped to this three On each mesh point on the map that angular mesh is surrounded, mesh point gaseous substance data are generated Unit;And
Using the mesh point gaseous substance data as primary data, beneficial to the air thing set up Matter forecast model is come the unit that is predicted to each mesh point gaseous substance data after the scheduled time.
CN201610187276.4A 2016-03-29 2016-03-29 The processing of gaseous substance observation data and Application way and its device Pending CN107247862A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110390343A (en) * 2018-04-16 2019-10-29 中国电力科学研究院有限公司 A kind of correction method and system of space meteorological data
CN110501460A (en) * 2019-08-23 2019-11-26 成都星时代宇航科技有限公司 Atmospheric monitoring method, apparatus and electronic equipment

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110390343A (en) * 2018-04-16 2019-10-29 中国电力科学研究院有限公司 A kind of correction method and system of space meteorological data
CN110501460A (en) * 2019-08-23 2019-11-26 成都星时代宇航科技有限公司 Atmospheric monitoring method, apparatus and electronic equipment

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