CN109031234A - The method of quick obtaining radar reflectivity data three-dimensional contour surface - Google Patents

The method of quick obtaining radar reflectivity data three-dimensional contour surface Download PDF

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Publication number
CN109031234A
CN109031234A CN201810902233.9A CN201810902233A CN109031234A CN 109031234 A CN109031234 A CN 109031234A CN 201810902233 A CN201810902233 A CN 201810902233A CN 109031234 A CN109031234 A CN 109031234A
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data
radar
dimensional
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point
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CN109031234B (en
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路明月
闵锦忠
毕硕本
王新昊
毛远翔
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Nanjing University of Information Science and Technology
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Nanjing University of Information Science and Technology
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/41Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Radar Systems Or Details Thereof (AREA)
  • Image Generation (AREA)

Abstract

The present invention provides a kind of method for obtaining radar reflectivity data three-dimensional contour surface, comprising the following steps: the normalization of radar three-dimensional scan data;The hexahedral mesh of radar data point constructs;Radar reflectivity data three-dimensional contour surface asks calculation.The present invention enables Radar Products data to be advantageously applied in three-dimensional scenic, preferably can provide effective decision support for the disaster reduction and prevention of meteorological disaster by quick obtaining radar reflectivity data three-dimensional contour surface, has good society and economic effect;Its ability for being quickly obtained rainfall cloud cluster form simultaneously, can shorten relevant departments for the response time of disaster.

Description

The method of quick obtaining radar reflectivity data three-dimensional contour surface
Technical field:
The present invention relates to a kind of methods of quick obtaining radar reflectivity data three-dimensional contour surface, belong to meteorological surveying and mapping technology neck Domain.
Background technique:
The three-dimensional contour surface of radar reflectivity data can intuitively express the body characteristics of the strong echo area of rainfall cloud cluster very much, right It is of great significance in the differentiation of rainy weather.The acquisition of the three-dimensional contour surface of conventional radar reflectivity data is to be based at present Three-dimensional regular grid is sought.In the process, the arranged of three-dimensional regular grid and radar swept-volume mode have very big Difference, it is therefore desirable to a large amount of interpolation calculation be carried out by the existing GPR Detection Data of each layer, to obtain each three-dimensional The corresponding data value of the small grid of rule, then based on this, ask and calculate corresponding three-dimensional equivalent face data.This method, on the one hand It needs to consume a large amount of computing cost, increases and calculate the time, on the other hand can introduce redundant data to a certain extent, increase The data volume of product data brings unnecessary obstruction for the application such as transmission of data.Therefore current existing radar reflectivity Data contour surface computation is dfficult to apply in three-dimensional weather monitoring business in real time.
Summary of the invention:
The present invention provides a kind of method for obtaining radar reflectivity data three-dimensional contour surface, and specific technical solution is as follows:
A kind of method of quick obtaining radar reflectivity data three-dimensional contour surface, includes the following steps:
The normalization of radar three-dimensional scan data;The hexahedral mesh of radar data point constructs;Radar reflectivity data three-dimensional etc. Ask calculation in value face;Wherein,
1, each scanning slice of radar three-dimensional scan data the normalization of radar three-dimensional scan data: is normalized to have 360 The index bed of scan-line data obtains the radar scanning data that each scanning slice has the corresponding data point of upper and lower;
2, the hexahedral mesh building of radar data point:
2.1) the radar scanning data obtained to above-mentioned normalization take jth and jth+1 scanning adjacent on any scanning slice L Line takes the point coordinate of adjacent i-th and i+1 data point respectively, amounts at 4 points as vertex and connects quadrangularly;
The point coordinate of i-th and i+1 data point of+1 scan line of jth and jth adjacent on L+1 scanning slice is equally taken, is amounted to 4 points as vertex connection quadrangularly;
And be correspondingly connected with the point coordinate that L and L+1 scanning slice are taken by hyponymy, it is built into a hexahedron;Its Middle L indicates the scanning number of plies, and j indicates the corresponding azimuth of scan line, and j takes the integer of 0≤j≤359, and i indicates that the scan line is taken up an official post It anticipates a data point;
2.2) when data point number is less than data point number on L layer on L+1 layer in step 2.1, i.e., when in L layers the Four data points got in+1 scan line of j item and jth ,+1 article of scan line of j-th strip and jth lacks above and below in L+1 layers When the corresponding data point in position, then repeat to take last two data points in two articles of scan lines of L+1 layers of correspondence (as four data Point uses, in order to be able to corresponding with L layers of four data points), and each data point got is correspondingly connected with and is built into Hexahedron, in this case, since the data point in L+1 layers is reused, constructed hexahedron is substantially six to degenerate Face body;
2.3) step 2.1 and 2.2 is repeated, above-mentioned hexahedron building successively is carried out to data points all on each adjacent scanning slice, is obtained The hexahedral mesh for all radar reflectivity datas building arrived;
3, radar reflectivity data three-dimensional contour surface asks calculation:
Calculation is asked by MC algorithm to step 2 gained hexahedral mesh, obtains the three-dimensional equivalent face data of radar reflectivity data.
Further design of the invention is:
Carrying out MC algorithm to hexahedral mesh in step 3 asks calculation to include following specific steps:
3.1) to the hexahedral mesh of building, appoint and take a hexahedron, MC algorithm is carried out according to preset a certain reflectivity values d Processing, detect on each side of current hexahedron whether the point for being d comprising reflectivity values, if so, then by reflectivity on each side The each point that numerical value is d connects into several tri patch, and the tri patch that these are generated saves;If it is not, under processing One hexahedron.
3.2) step 3.1 is repeated, each hexahedral MC algorithm in hexahedral mesh is completed and asks calculation, the institute preserved There is tri patch to constitute the three-dimensional equivalent face data of radar reflectivity data.
Described normalized detailed process is as follows: in each scanning slice, centered on radar antenna position, with orientation The 0 degree of building in angle, first scan line, each integer azimuth construct a scan line, and so on, the 360th article of scan line side It is 359 degree that parallactic angle, which is located at, constructs 360 scan lines;Data in each scan line, further according to original radar three-dimensional reflectivity number According to each layer scan-line data, 360 scan-line datas constructed by interpolation calculation method, thus complete radar three-dimensional sweep Retouch the normalized of data.
The present invention has the following beneficial effects: compared with prior art
The conventional method inefficiency of the three-dimensional contour surface of radar reflectivity data is obtained in view of current technology, it is difficult to be applied to day In normal three-dimensional weather real time monitoring business.In order to solve this problem, the scanning number that the present invention passes through every layer of radar of normalization According to, so directly to radar detection to data point handle, construct hexahedral mesh, then directly by be directed to hexahedron Processing, quickly seek the three-dimensional contour surface of radar reflectivity data.
Whole process of the present invention, which reduces, to be calculated data volume while also avoiding redundant data, and radar reflection is substantially increased The acquisition efficiency of the three-dimensional contour surface of rate data, can be very easily using in three-dimensional weather monitoring business in real time.
The present invention enables Radar Products data to answer well by quick obtaining radar reflectivity data three-dimensional contour surface For preferably effective decision support can be provided for the disaster reduction and prevention of meteorological disaster in three-dimensional scenic, there is good society Meeting and economic effect;Its ability for being quickly obtained rainfall cloud cluster form simultaneously, can shorten response of the relevant departments for disaster Time.
Detailed description of the invention:
Fig. 1 is that radar reflectivity data normalizes schematic top plan view in embodiment one;
Fig. 2 is that radar reflectivity data normalizes schematic side view in embodiment one;
Fig. 3 is that radar reflectivity data hexahedron constructs schematic diagram in embodiment one;
Fig. 4 is that radar reflectivity data (degeneration) hexahedron in embodiment one in special circumstances constructs schematic diagram;
Fig. 5 is the number schematic diagram on hexahedral vertex and side in embodiment one;
Fig. 6 is 15 kinds of basic condition schematic diagrames in one medium value face finding process of embodiment;
Fig. 7 is 40dbz reflectance value contour surface effect data figure in test case one;
Fig. 8 is 50dbz reflectance value contour surface effect data figure in test case two;
Specific embodiment:
Embodiment one:
With reference to the accompanying drawing and specific embodiment the present invention is described in detail.
The method of quick obtaining radar reflectivity data three-dimensional contour surface provided by the invention, includes the following steps:
1, the normalization of radar three-dimensional scan data;
2, the hexahedral mesh building of radar data point;
3, radar reflectivity data three-dimensional contour surface asks calculation;Wherein,
1. when the normalization of radar three-dimensional scan data, traversing each layer of radar body total number evidence, each layer of data are carried out Each scanning layer data is normalized to the index bed with 360 scan-line datas, obtains each scanning by following normalization operation Layer has the radar scanning data of the corresponding data point of upper and lower:
A) appoint and take a scanning slice, according to scan-line data existing in taken layer, constructing azimuth is 0 degree, and the elevation angle is this scanning The scan line at the layer elevation angle, then obtain newly constructing the scan-line data in scan line, the sky of each data point by interpolation calculation method Between between be divided into 1 kilometer, while being the number (library number) of the original data of this layer of scan line according to the number of upper data in the line number;
B) according to the method and its elevation angle of step a, the parameter of data break and data amount check, orientation is constructed respectively in this layer Angle is 1 degree, 2 degree, 3 degree, and up to 359 degree of line number evidence;Then this layer data normalization operation finishes;
C) according to above-mentioned steps, successively by the radar body total number, all echo data scanning slices all carry out above-mentioned normalization behaviour in Make, each scanning slice of radar corresponds to the next corresponding on the scan-line data of azimuth after normalization, as depicted in figs. 1 and 2;
2., to each layer data of radar, successively being proceeded as follows when the hexahedral mesh building of radar data point:
In radar scanning layer (assuming that being currently L layers), every a data wire is traversed, is proceeded as follows: assuming that current number It is jth root according to line, the point coordinate of two data points closed on (being set as i-th and i+1 data point) is successively taken on the data line, Two of same location are taken to close on data point (i-th and i+1 number on+1 line of jth adjacent in notebook data layer (L layers) simultaneously Strong point) point coordinate, connect into a quadrangle using four data points as vertex;Simultaneously in L+1 data Layer, equally The point coordinate for taking four data points (in jth and j+1 scan line i-th and i+1 data point) of corresponding position, according to above-mentioned side Method also connects into a quadrangle as vertex;On this basis, by taken upper layer and lower layer data point by upper the next corresponding relationship It is attached, forms a hexahedron, as shown in figure 3, wherein L indicates the scanning number of plies, j indicates the corresponding azimuth of scan line, j The integer of 0≤j≤359 is taken, i indicates any one a data point in the scan line, and being formed by hexahedron is Irregular hexahedron, Irregular hexahedron refer on a certain quadrilateral surface there are the hexahedron of not parallel opposite side (i.e. in hexahedral 6 faces, only Want one group of opposite side not parallel, then the hexahedron is referred to as Irregular hexahedron);
If b) the data point number of L+1 layers of scan line is less than the data point number of L layers of scan line, i.e., when in L layers Four data points got in+1 scan line of j-th strip and jth ,+1 article of scan line of j-th strip and jth lacks in L+1 layers When the corresponding data point of upper and lower, then will generate extra quadrangle in L layers can not match, this moment, then will be in L+1 layers The last one point of corresponding two scan lines is reused (to be used, in order to be able to L for two o'clock as four data points Four data points of layer are corresponding), and according to the construction method of quadrangle, it connects into linear degeneration quadrangle and uses (the company Line is still quadrangle, but its four vertex, has been overlapped two-by-two), by the vertex of quadrangle extra in L layers all with the L+ The vertex correspondence of 1 layer of degeneration quadrangle connects, and degeneration hexahedron is formed, in this case, since the data point in L+1 layers is Reuse, the hexahedron constructed here substantially be degenerate hexahedron, physically be similar to tri-prismoid, but its according to It so is considered as being made of eight vertex, only wherein there are two groups of points to be overlapped, as shown in Figure 4.
C) according to the method described above, data point all in this layer is all subjected to hexahedron building;
D) it repeats the above steps, until each layer scan data point of radar is all built into hexahedron.All radar reflectivity datas Point just constitutes hexahedral mesh, waits the data extraction operation of three-dimensional contour surface;
3. radar reflectivity data three-dimensional contour surface asks calculation process as follows:
3.1) the reflectivity values d of required contour surface, all six faces generated in traversal step 2 one by one are set according to user demand Body carries out MC(Marching cube to it) algorithm process, detect in current hexahedron whether comprising reflectivity values be The tri patch of d, if it is not, handling next hexahedron;If so, then obtaining reflection included in current hexahedron Rate score is the tri patch set of d, and is saved;
Wherein MC(Marching cube) the detailed process of algorithm process include the following steps:
First, the reflectivity values of contour surface are set as d;And hexahedral 8 vertex and 12 sides are carried out as shown in Figure 5 Number.
Second, which is judged one by one, reflectivity values are more than or equal to the vertex number of d It records.
Third, according to the satisfactory vertex number recorded in second step as a result, be included into Fig. 6 15 kinds can In the case where energy (situation shown in the 3rd figure in this example corresponding diagram 6), and according to the situation in the 3rd figure, acquire according to the following formula Reflectivity values are each point coordinate of d in corresponding sides, and the point coordinate for then acquiring these is according to corresponding mode in the 3rd figure of figure It connects, forms several tri patch (by two tri patch in this example).
If the coordinate of any two endpoints in eligible side is,, corresponding radar reflection Rate value is,, equivalent face amount be d, then the point coordinate that reflectivity be d: (K is intermediate ratio variable in formula, expression, when The numerical value V of preceding contour surface numerical value d and coordinate A point1Difference and two coordinate points A, B numerical value difference ratio.The ratio can be used The point coordinate that numerical value between coordinate points A, B is d is calculated in asking)
3.2) according to the process in above-mentioned steps 3.1, each hexahedron has been handled, obtained tri patch has been stored together Come;Then these tri patch are exactly the contour surface triangle grid data to be constructed.
Test case one:
According to foregoing invention method, instance processes have been carried out to Chinese somewhere weather radar.And select reflectance value 40dbz Radar reflectivity data three-dimensional contour surface is carried out for contour surface numerical value and asks calculation, obtains effect picture as shown in Figure 7:
Test case two:
According to foregoing invention method, instance processes have been carried out to Chinese In Nanjing weather radar.And select reflectance value 50dbz is that contour surface numerical value progress radar reflectivity data three-dimensional contour surface asks calculation, obtains effect picture as shown in Figure 8.

Claims (3)

1. a kind of method of quick obtaining radar reflectivity data three-dimensional contour surface, which comprises the steps of:
The normalization of radar three-dimensional scan data;The hexahedral mesh of radar data point constructs;Radar reflectivity data three-dimensional etc. Ask calculation in value face;Wherein,
1) each scanning slice of radar three-dimensional scan data the normalization of radar three-dimensional scan data: is normalized to have 360 The index bed of scan-line data obtains the radar scanning data that each scanning slice has the corresponding data point of upper and lower;
2) the hexahedral mesh building of radar data point:
2.1) the radar scanning data obtained to above-mentioned normalization take jth and jth+1 scanning adjacent on any scanning slice L Line takes the point coordinate of adjacent i-th and i+1 data point respectively, amounts at 4 points as vertex and connects quadrangularly;
The point coordinate of i-th and i+1 data point of+1 scan line of jth and jth adjacent on L+1 scanning slice is equally taken, is amounted to 4 points as vertex connection quadrangularly;
And be correspondingly connected with the point coordinate that L and L+1 scanning slice are taken by hyponymy, it is built into a hexahedron;Its Middle L indicates the scanning number of plies, and j indicates the corresponding azimuth of scan line, and j takes the integer of 0≤j≤359, and i indicates that the scan line is taken up an official post It anticipates a data point;
2.2) when data point number is less than data point number on L layer on L+1 layer in step 2.1, i.e., when in L layers the Four data points got in+1 scan line of j item and jth ,+1 article of scan line of j-th strip and jth lacks above and below in L+1 layers When the corresponding data point in position, then repeat to take last two data points in two articles of scan lines of L+1 layers of correspondence, and each by what is got A data point, which is correspondingly connected with, is built into hexahedron, in this case, constructed since the data point in L+1 layers is reused Hexahedron is substantially the hexahedron degenerated;
2.3) step 2.1 and 2.2 is repeated, above-mentioned hexahedron building successively is carried out to data points all on each adjacent scanning slice, is obtained The hexahedral mesh for all radar reflectivity datas building arrived;
3) radar reflectivity data three-dimensional contour surface asks calculation:
Calculation is asked by MC algorithm to step 2 gained hexahedral mesh, obtains the three-dimensional equivalent face data of radar reflectivity data.
2. the method for quick obtaining radar reflectivity data three-dimensional contour surface according to claim 1, it is characterised in that: step Carrying out MC algorithm to hexahedral mesh in rapid 3 asks calculation to include following specific steps:
3.1) to the hexahedral mesh of building, appoint and take a hexahedron, MC algorithm is carried out according to preset a certain reflectivity values d Processing, detect on each side of current hexahedron whether the point for being d comprising reflectivity values, if so, then by reflectivity on each side The each point that numerical value is d connects into several tri patch, and the tri patch that these are generated saves;If it is not, under processing One hexahedron;
3.2) step 3.1 is repeated, each hexahedral MC algorithm in hexahedral mesh is completed and asks calculation, all three preserved Edged surface piece constitutes the three-dimensional equivalent face data of radar reflectivity data.
3. the method for quick obtaining radar reflectivity data three-dimensional contour surface according to claim 1, it is characterised in that: institute State that normalized detailed process is as follows: in each scanning slice, centered on radar antenna position, with the building of 0 degree of azimuth First scan line, each integer azimuth construct a scan line, and so on, the 360th article of scan line azimuth is located at It is 359 degree, constructs 360 scan lines;Data in each scan line, further according to each layer of original radar three-dimensional reflectivity data Thus scan-line data, 360 scan-line datas constructed by interpolation calculation method complete radar three-dimensional scan data Normalized.
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109613540A (en) * 2018-12-25 2019-04-12 江苏省气象信息中心(江苏省气象档案馆) A kind of Doppler radar three-dimensional visualization method based on WebGL
CN111145924A (en) * 2019-12-31 2020-05-12 西安交通大学 Power density distribution statistical method for porous hexagonal prism type nuclear fuel element
CN111736154A (en) * 2020-06-22 2020-10-02 太极计算机股份有限公司 Construction method and display method of three-dimensional meteorological radar echo model
CN112327267A (en) * 2020-11-12 2021-02-05 国网湖南省电力有限公司 Millimeter wave radar reflectivity layer-by-layer repairing method and system and computer storage medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120139778A1 (en) * 2010-12-02 2012-06-07 Honeywell International Inc. Systems and methods for improving relevant weather determination
CN104134354A (en) * 2013-04-30 2014-11-05 业纳遥控设备有限公司 Traffic monitoring system for speed measurement and assignment of moving vehicles in a multi-target recording module
CN105093175A (en) * 2015-08-14 2015-11-25 华南理工大学 Three-dimensional space positioning method based on RFID (Radio Frequency Identification) middleware
CN107942309A (en) * 2017-10-19 2018-04-20 上海无线电设备研究所 Ultrahigh speed Electromagnetic Scattering of Target quick calculation method in a kind of rarefied atmosphere
CN108169751A (en) * 2017-11-14 2018-06-15 广州中南民航空管技术装备工程有限公司 A kind of weather radar base datum 3 d grid method, computer readable storage medium and electronic equipment
CN108226926A (en) * 2017-12-07 2018-06-29 中国人民解放军空军工程大学 A kind of three-dimensional scattering distribution reconstructing method based on radar network

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120139778A1 (en) * 2010-12-02 2012-06-07 Honeywell International Inc. Systems and methods for improving relevant weather determination
CN104134354A (en) * 2013-04-30 2014-11-05 业纳遥控设备有限公司 Traffic monitoring system for speed measurement and assignment of moving vehicles in a multi-target recording module
CN105093175A (en) * 2015-08-14 2015-11-25 华南理工大学 Three-dimensional space positioning method based on RFID (Radio Frequency Identification) middleware
CN107942309A (en) * 2017-10-19 2018-04-20 上海无线电设备研究所 Ultrahigh speed Electromagnetic Scattering of Target quick calculation method in a kind of rarefied atmosphere
CN108169751A (en) * 2017-11-14 2018-06-15 广州中南民航空管技术装备工程有限公司 A kind of weather radar base datum 3 d grid method, computer readable storage medium and electronic equipment
CN108226926A (en) * 2017-12-07 2018-06-29 中国人民解放军空军工程大学 A kind of three-dimensional scattering distribution reconstructing method based on radar network

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
朱黎明等: "基于地学研究的CINRAD/CB雷达回波显示与提取", 《解放军理工大学学报(自然科学版)》 *
王轩等: "雷达数据的多维可视化", 《图学学报》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109613540A (en) * 2018-12-25 2019-04-12 江苏省气象信息中心(江苏省气象档案馆) A kind of Doppler radar three-dimensional visualization method based on WebGL
CN111145924A (en) * 2019-12-31 2020-05-12 西安交通大学 Power density distribution statistical method for porous hexagonal prism type nuclear fuel element
CN111145924B (en) * 2019-12-31 2021-08-10 西安交通大学 Power density distribution statistical method for porous hexagonal prism type nuclear fuel element
CN111736154A (en) * 2020-06-22 2020-10-02 太极计算机股份有限公司 Construction method and display method of three-dimensional meteorological radar echo model
CN111736154B (en) * 2020-06-22 2023-09-15 太极计算机股份有限公司 Construction method and display method of three-dimensional weather radar echo model
CN112327267A (en) * 2020-11-12 2021-02-05 国网湖南省电力有限公司 Millimeter wave radar reflectivity layer-by-layer repairing method and system and computer storage medium

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Contract record no.: X2024980009395

Denomination of invention: A method for quickly obtaining three-dimensional isosurfaces of radar reflectance data

Granted publication date: 20220628

License type: Common License

Record date: 20240711