CN112270059A - Weather radar networking strategy evaluation method and system - Google Patents

Weather radar networking strategy evaluation method and system Download PDF

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CN112270059A
CN112270059A CN202011114608.9A CN202011114608A CN112270059A CN 112270059 A CN112270059 A CN 112270059A CN 202011114608 A CN202011114608 A CN 202011114608A CN 112270059 A CN112270059 A CN 112270059A
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weather radar
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刘俊
周红根
赵宇
朱丽
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Taizhou Meteorological Bureau
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Abstract

The invention discloses a method and a system for evaluating a weather radar networking strategy, wherein the specific method comprises the following steps: s1, modeling a weather radar networking strategy, and solving an overlapping rate M; s2, calculating the space domain of the performance indexes (bs, bh, Zmin) of the radar network under different topological structures according to an algorithm; s3, taking the cumulative probability density function value as 90%, and reversely calculating radar network and single radar performance indexes (bs, bh, Zmin) under different topological structures according to an algorithm to be respectively characteristic values corresponding to characteristic quantities; s4, differentially comparing the beam diameter bs, the minimum beam height bh and the detection sensitivity Zmin characteristic value, and determining a reasonable weather radar networking strategy. The method not only realizes the performance comparison of the radar network under different networking strategies, but also realizes the performance comparison of the radar network under a specific strategy and a single weather radar. The method aims to provide basic technical support for the arrangement and cooperative observation of the weather radar station network.

Description

Weather radar networking strategy evaluation method and system
Technical Field
The invention relates to the field of meteorological radar station network layout and cooperative observation, in particular to radar network performance evaluation and evaluation on different networking strategies. In particular to a method and a system for evaluating a weather radar networking strategy.
Background
With the successive occurrence of the accident of ship sinking of Hubei proclaimed and the incident of Funing tornado of Jiangsu, the country is developing a new round of short-wavelength weather radar netting work in the places of the Jian plain, the Zhu Jiang Delta, the Changjiang Delta, the Jiang Han plain, and the like. To better exert the cooperative detection power of the weather radar network, the key for service layout and benefit exertion is to discuss whether the networking strategy is reasonable.
However, in China, the work in this aspect is still blank, and no evaluation index, evaluation method and evaluation system for service use of the weather radar networking performance are given.
Therefore, a complete and scientific method and system for evaluating the weather radar networking strategy are urgently needed to support the weather radar networking and collaborative observation work of the meteorological department.
Disclosure of Invention
The invention aims to provide a method and a system for evaluating a weather radar networking strategy, which firstly propose a delay beam diameter b in ChinasMinimum beam height bhAnd detection sensitivity ZminThe method is used as a weather radar network performance index evaluation tool. Modeling a weather radar networking strategy, solving an overlapping rate M, and calculating radar networks with different topological structures and single weather radar performance indexes (b) according to an algorithm, wherein the accumulative probability density function value is 90 percents，bh，Zmin) Respectively, the characteristic values corresponding to the characteristic quantities, the passing beam diameter bsMinimum beam height bhDetection sensitivity ZminAnd comparing the differences of the characteristic values to determine a reasonable weather radar networking strategy. The method not only realizes the performance comparison of the radar network under different networking strategies, but also realizes the performance comparison of the radar network under a specific strategy and a single weather radar. The method aims to provide basic technical support for the arrangement and the collaborative observation of the weather radar station network.
In order to achieve the above object, the present invention provides the following technical solutions: a weather radar networking strategy evaluation method comprises the following specific steps:
s1, modeling a weather radar networking strategy, and solving an overlapping rate M;
s2, calculating the space domain of the performance indexes (bs, bh, Zmin) of the radar network under different topological structures according to an algorithm;
s3, taking the cumulative probability density function value as 90%, and reversely calculating radar network and single radar performance indexes (bs, bh, Zmin) under different topological structures according to an algorithm to be respectively characteristic values corresponding to characteristic quantities;
s4, differentially comparing the beam diameter bs, the minimum beam height bh and the detection sensitivity Zmin characteristic value, and determining a reasonable weather radar networking strategy.
Preferably, the weather radar networking strategy is modeled, and the overlapping rate M is solved. The weather radar networking strategy is parameterized into three mathematical models, namely a regular triangle, a regular quadrangle and a regular hexagon, of the radar network basic unit, and the formulas are (1) - (3). And solving the overlapping rate M corresponding to different networking strategies according to the formulas (1) to (3).
Figure BDA0002729783750000021
Figure BDA0002729783750000022
M＝Rmax/L×1，N＝6 (3)
In the formula, N is the number of the radars with the same type, represents a regular polygon (the radars are positioned at the top points) forming N edges, and is a form factor of a basic unit and is a unit; rmaxThe maximum detection distance of a single radar is in km; l is a radar networking distance, namely the distance between two adjacent radars, and is a unit km; m is the overlapping rate, and the ratio of the maximum detection range of the single radar to the space range of the networking basic unit is a dimensionless quantity.
Preferably, the performance indexes (b) of the radar network under different topological structures are calculated according to an algorithms，bh，Zmin) The spatial domain. Radar mesh beam diameter b under different topological structuressMinimum beam height bhDetection sensitivity ZminA spatial domain computation method. The method specifically comprises the following steps: considering the radar net beam diameter bsThe space density functions are in one-to-one correspondence, and the formula (4) is adopted to solve the space domain step by step; considering the minimum beam height b of the radar networkhSpace(s)The density functions are in one-to-one correspondence, and a formula (5) is adopted to solve the space domain step by step; taking into account the sensitivity of detection of the radar net ZminThe space density functions are in one-to-one correspondence, and the space domain is solved step by adopting a formula (6).
Figure BDA0002729783750000031
Figure BDA0002729783750000032
Figure BDA0002729783750000033
In the formula, bsmaxFor a single radar beam diameter b for networkingsMaximum, in meters; bhmaxFor single radar minimum beam height b for networkinghMaximum, in meters; zmaxFor single radar detection sensitivity Z for networkingminMaximum, in dB; thetasThe included angle from the geometric center point of the basic unit of the radar net to a certain vertex and an edge is measured in degrees.
Preferably, the cumulative probability density function value is 90%, and performance indexes of the radar network and the single weather radar under different topological structures are reversely calculated according to an algorithm (b)s，bh，Zmin) The characteristic values are respectively corresponding to the characteristic quantities. Radar mesh and single radar beam diameter b under different topological structuressMinimum beam height bhDetection sensitivity ZminAnd a space density function calculation method. The method specifically comprises the following steps: radar net beam diameter bsMinimum beam height bhDetection sensitivity ZminThe space density functions are respectively in one-to-one correspondence with the space domains, and the formulas (7) to (9) are adopted for step-by-step calculation; single weather radar beam diameter bsMinimum beam height bhDetection sensitivity ZminThe spatial density function is directly calculated using equations (10) - (12).
Figure BDA0002729783750000034
Figure BDA0002729783750000041
Figure BDA0002729783750000042
Figure BDA0002729783750000043
Figure BDA0002729783750000044
Figure BDA0002729783750000045
In the formula, f represents a probability density function and is a dimensionless quantity. The superscript N represents a radar network, and the superscript-free N represents a single weather radar; subscript bs、bh、ZminRepresenting the beam diameter, the lowest beam height and the probability density function of the detection sensitivity, respectively. Inside the small bracket and the right side b of the big brackets、bh、ZminRespectively, the beam diameter, the minimum beam height and the detection sensitivity are independent variables. bsmax、bhmax、Zmax、θsAnd M is as defined above.
Radar mesh and single weather radar beam diameter b under different topological structuressMinimum beam height bhDetection sensitivity ZminA method for calculating a feature value. The method specifically comprises the following steps: let radar net beam diameter bsMinimum beam height bhDetection sensitivity ZminRespectively, the feature quantity mu in the formula (13), the spatial domain of which is calculated by the formulas (4) to (6), respectively, and the probability density function of which is calculated by the formulas (4) to (6), respectivelyExpressed by the formulas (7) to (12), when the cumulative density function value F (mu) is 90%, the radar mesh beam diameter b is reversely calculated by the formula (13) in sequencesMinimum beam height bhDetection sensitivity ZminIs a feature value corresponding to the feature quantity.
Figure BDA0002729783750000046
Where F (μ) is the cumulative spatial density function of the characteristic quantity μ (with values between (0, 1)), FUAnd (mu) is a spatial density function of the characteristic quantity mu. By reverse thinking, knowing the range of the feature value μ, the δ value corresponding to a specific cumulative spatial density function value, called the feature value corresponding to the feature value μ, can be obtained.
Preferably, the beam diameters b are differentially comparedsMinimum beam height bhDetection sensitivity ZminAnd determining a reasonable weather radar networking strategy according to the characteristic value. On the one hand, the beam diameter b of the weather radar network is determined by different networking strategiessMinimum beam height bhDetection sensitivity ZminAnd comparing the characteristic value difference values to represent the performances of the weather radar network in the aspects of azimuth resolution, detection blind areas, weak echo detection capability, space detection consistency and the like. The smaller the value is, the better the performance is; if the numerical value is excessively small, the networking network distance L is unreasonable, and the radar resource is wasted. On the other hand, the weather radar net and the single weather radar beam diameter b pass through a specific networking strategysMinimum beam height bhDetection sensitivity ZminAnd comparing the characteristic value difference values to represent the performance improvement degree of the weather radar network in the aspects of azimuth resolution, detection blind areas, weak echo detection capability, space detection consistency and the like. And comparing the performances of the comprehensive weather radar network and the network, and the network and the single weather radar to determine a reasonable weather radar networking strategy.
In order to achieve the above object, the present invention provides the following technical solutions: a weather radar networking policy evaluation, comprising: the system comprises a parameter information transmission module, a model matching and calculating module and a comparison and file output module.
Preferably, the parameter information transfer module. And under a Visual C + +6.0 software platform, a parameter information input dialog box is set up, and basic parameters including radar network parameters, weather radar performance parameters and auxiliary information are acquired. The radar network parameters comprise the number N of radars (a radar network topological structure) and the distance L of the radar network; the performance parameters of the sky radar comprise the maximum detection distance RmaxMaximum beam diameter bsmaxMaximum minimum beam height bhmaxMaximum detection sensitivity Zmax(ii) a The auxiliary information includes weather radar wavelength, production unit, production date, etc. And storing the basic parameters input by the user in a variable assignment mode to form a parameter information transmission module.
Preferably, the model matching and calculating module. Matching a basic unit mathematical model of the radar network according to the parameters of the radar network under a Visual C + +6.0 software platform; and respectively calculating the beam diameters b of the weather radar net and the single weather radar in combination with the performance parameters of the weather radarsMinimum beam height bhDetection sensitivity ZminAnd forming a model matching and calculating module by the corresponding characteristic values.
Preferably, the comparison and file output module. Comparing the radar networks under different strategies, the radar networks with specific strategies and the radar beam diameter b of a single weather according to user requests under a Visual C + +6.0 software platformsMinimum beam height bhDetection sensitivity ZminAnd providing a reasonable weather radar networking strategy suggestion according to the corresponding characteristic value difference, and outputting the suggestion in a file form to form a comparison and file output module.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention models the networking strategy of the weather radar network, adopts a method of reversely solving the characteristic value of the characteristic quantity by a fixed cumulative probability density value, evaluates the performance of the radar network under different networking strategies through the difference comparison of the characteristic value, and provides a reasonable networking strategy of the weather radar. The method specifically comprises the following steps: modeling a weather radar networking strategy into a regular triangle, a regular quadrangle and a regular hexagon, and solving an overlapping rate M; respectively order waveBundle diameter bsMinimum beam height bhDetection sensitivity ZminTaking the cumulative probability density function value as 90% according to the space density function and the space domain algorithm as the characteristic quantity, and reversely calculating the characteristic value; differential comparison of beam diameters bsMinimum beam height bhDetection sensitivity ZminAnd determining a reasonable weather radar networking strategy according to the characteristic value.
2. The invention proposes the beam diameter bsMinimum beam height bhDetection sensitivity ZminAnd the three performance indexes are used for evaluating the performance of the weather radar networking strategy. Beam diameter bsMinimum beam height bhDetection sensitivity ZminThe performance indexes of the original weather radar are only functions of the detection distance, the performance of radar hardware is not related, and the performance indexes respectively represent the performance of the radar in aspects of azimuth resolution, detection blind areas, weak echo detection capability, space detection consistency and the like. Radar net delay beam diameter b formed by multiple weather radarssMinimum beam height bhDetection sensitivity ZminAs a comparison tool of performance indexes, the performance comparison of the weather radar network under different networking strategies in aspects of azimuth resolution, detection blind areas, weak echo detection capability, space detection consistency and the like can be realized, and the performance comparison of the weather radar network under a specific networking strategy with a single weather radar can also be realized to represent the performance improvement degree of the weather radar network.
3. According to the invention, a weather radar networking strategy evaluation system is generated under a Visual C + +6.0 development platform. And acquiring basic parameters input by a user based on the establishment of a dialog box platform, wherein the basic parameters comprise radar network parameters, weather radar performance parameters and auxiliary information. According to the radar network parameters, matching the basic unit mathematical model of the radar network, and combining the weather radar performance parameters to respectively calculate the weather radar network and the single weather radar beam diameter bsMinimum beam height bhDetection sensitivity ZminThe corresponding characteristic value. Comparing the radar net under different strategies, the radar net with the specific strategy and the radar beam diameter b of the single weathersMinimum beam height bhDetection sensitivity ZminAnd (4) providing a reasonable weather radar networking strategy suggestion according to the corresponding characteristic value difference, and outputting the suggestion in a file form. The system fills the blank of the station, realizes the local application, and serves the weather radar station network layout and the cooperative observation service.
Drawings
FIG. 1 is a flow chart of a weather radar networking policy evaluation method of the present invention;
FIG. 2 is a flow chart of a weather radar networking policy evaluation system according to the present invention;
FIG. 3 is a block diagram of an interactive basic parameter user input dialog of the present invention;
FIG. 4 is a XXXX band weather radar networking policy evaluation report (style) diagram of the present invention;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1 to 4, a method for evaluating a weather radar networking policy includes the following steps:
s1, modeling a weather radar networking strategy, and solving an overlapping rate M;
s2, calculating the space domain of the performance indexes (bs, bh, Zmin) of the radar network under different topological structures according to an algorithm;
s3, taking the cumulative probability density function value as 90%, and reversely calculating radar network and single radar performance indexes (bs, bh, Zmin) under different topological structures according to an algorithm to be respectively characteristic values corresponding to characteristic quantities;
s4, differentially comparing the beam diameter bs, the minimum beam height bh and the detection sensitivity Zmin characteristic value, and determining a reasonable weather radar networking strategy.
In an optional embodiment, a weather radar networking strategy is parameterized into three mathematical models, namely a regular triangle, a regular quadrangle and a regular hexagon, of a radar network basic unit, and an overlapping rate M is solved; respectively calculating the beam diameter bs, the minimum beam height bh and the detection sensitivity Zmin spatial domain of the radar network under different topological structures according to an algorithm; taking radar performance indexes (bs, bh and Zmin) as characteristic quantities, taking the cumulative probability density function value as 90%, and reversely calculating characteristic values corresponding to the radar mesh beam diameter bs, the lowest beam height bh and the detection sensitivity Zmin under different topological structures, and characteristic values corresponding to the radar beam diameter bs, the lowest beam height bh and the detection sensitivity Zmin a single weather according to an algorithm; and (3) differentially comparing the beam diameter bs, the minimum beam height bh and the detection sensitivity Zmin characteristic value, representing the azimuth resolution, the detection blind area, the weak echo detection capability and the detection data space consistency degree of the weather radar network, quantitatively evaluating the performance of the weather radar network under different networking strategies, and determining a reasonable weather radar networking strategy.
In an optional embodiment, a weather radar networking strategy is parameterized and expressed into three mathematical models, namely a regular triangle, a regular quadrangle and a regular hexagon, of a radar network basic unit, and the overlapping rate M of the three mathematical models is solved; the method specifically comprises the following steps: when the basic unit of the radar net is a regular triangle topological structure, the parameterized mathematical expression of the radar net is expressed as a formula (1); when the basic unit of the radar net is a regular quadrilateral topological structure, the parameterized mathematical expression of the radar net is a formula (2); when the basic unit of the radar net is a regular hexagon topological structure, the parameterized mathematical expression of the radar net is expressed as a formula (3);
Figure BDA0002729783750000081
Figure BDA0002729783750000082
M＝Rmax/L×1，N＝6 (3)
in the formula, N is the number of the radars with the same type, represents a regular polygon (the radars are positioned at the top points) forming N edges, and is a form factor of a basic unit and is a unit; rmax is the maximum detection distance of a single radar in km; l is a radar networking distance, namely the distance between two adjacent radars, and is a unit km; m is the overlapping rate, and the ratio of the maximum detection range of the single radar to the space range of the networking basic unit is a dimensionless quantity.
In an optional embodiment, a radar mesh beam diameter bs, a minimum beam height bh and a detection sensitivity Zmin spatial domain calculation method under different topological structures are adopted; the method specifically comprises the following steps: considering the one-to-one correspondence with the space density function of the radar network beam diameter bs, and adopting a formula (4) to solve the space domain step by step; considering the one-to-one correspondence with the lowest beam height bh space density function of the radar network, and adopting a formula (5) to solve the space domain step by step; considering the one-to-one correspondence with the radar network detection sensitivity Zmin space density function, and adopting a formula (6) to solve the space domain step by step;
Figure BDA0002729783750000091
Figure BDA0002729783750000092
Figure BDA0002729783750000093
in the formula, bsmaxFor single weather radar beam diameter b for networkingsMaximum, in meters; bhmaxFor single weather radar minimum beam height b for networkinghMaximum, in meters; zmaxFor single weather radar detection sensitivity Z for networkingminMaximum, in dB; thetasThe included angle from the geometric center point of the basic unit of the radar net to a certain vertex and an edge is measured in degrees.
In an alternative embodiment, the radar mesh and the single radar beam diameter b are different in topologysMinimum beam height bhDetection sensitivity ZminA spatial density function calculation method; the method specifically comprises the following steps: radar net beam diameter bsMinimum beam height bhProbe for testingSensitivity of measurement ZminThe space density functions are respectively in one-to-one correspondence with the space domains, and the formulas (7) to (9) are adopted for step-by-step calculation; single weather radar beam diameter bsMinimum beam height bhDetection sensitivity ZminThe spatial density function is directly calculated using equations (10) - (12).
Figure BDA0002729783750000101
Figure BDA0002729783750000102
Figure BDA0002729783750000103
Figure BDA0002729783750000104
Figure BDA0002729783750000105
Figure BDA0002729783750000106
In the formula, f represents a probability density function and is free of dimensional quantity; the superscript N represents a radar network, and the superscript-free N represents a single weather radar; subscript bs、bh、ZminRespectively representing the beam diameter, the lowest beam height and the probability density function of detection sensitivity; inside the small bracket and the right side b of the big brackets、bh、ZminRespectively representing the beam diameter, the lowest beam height and the detection sensitivity as independent variables; bsmax、bhmax、Zmax、θsAnd M is as defined above.
In an alternative embodiment, the radar is in a different topologyMesh and single weather radar beam diameter bsMinimum beam height bhDetection sensitivity ZminA method of calculating a feature value; the method specifically comprises the following steps: let radar net beam diameter bsMinimum beam height bhDetection sensitivity ZminRespectively, the characteristic quantity mu in the formula (13), the space domain is respectively calculated by the formulas (4) to (6), the probability density function is respectively expressed by the formulas (7) to (12), and when the cumulative density function value F (mu) is 90 percent, the radar mesh beam diameter b is sequentially reversely calculated by the formula (13)sMinimum beam height bhDetection sensitivity ZminThe characteristic value corresponding to the characteristic quantity;
Figure BDA0002729783750000111
where F (μ) is the cumulative spatial density function of the characteristic quantity μ (with values between (0, 1)), FU(μ) is a space density function of the feature quantity μ, and a δ value corresponding to a specific cumulative space density function value, called a feature value corresponding to the feature quantity μ, can be obtained by reverse thinking and knowing the range of the feature quantity μ value.
A weather radar networking policy evaluation system, comprising: the parameter information transmission module is used for acquiring basic parameters input by a user in a man-machine interactive mode, wherein the basic parameters comprise radar network parameters, weather radar performance parameters and auxiliary information, and the weather radar performance parameters comprise the radar number N (a radar network topological structure) and the radar network distance L; the maximum detection distance Rmax, the maximum beam diameter bsmax, the maximum minimum beam height bhmax and the maximum detection sensitivity Zmax; the auxiliary information comprises weather radar wavelength, production unit and production date;
the model matching and calculating module is used for matching a basic unit mathematical model of the radar network according to the radar network parameters and calculating the characteristic values corresponding to the weather radar network, the single weather radar beam diameter bs, the lowest beam height bh and the detection sensitivity Zmin;
and the comparison and file output module compares the radar network under different strategies and the characteristic value difference corresponding to the radar network with the specific strategy, the single weather radar beam diameter bs, the minimum beam height bh and the detection sensitivity Zmin according to the user request, provides a reasonable weather radar networking strategy suggestion, outputs the reasonable weather radar networking strategy suggestion in a file form and is convenient for the user to refer.
The system comprises a parameter information transmission module, a model matching and calculating module and a parameter information transmission module, wherein the parameter information transmission module is used for receiving basic parameters input by a user and transmitting information to the model matching and calculating module; the model matching and calculating module is used for matching different networking strategies with different mathematical models and radar networks and single weather radar beam diameters b under different strategiessMinimum beam height bhDetection sensitivity ZminCalculating corresponding characteristic values; a comparison and file output module used for radar nets under different strategies, radar nets with specific strategies and radar beam diameter b of single weathersMinimum beam height bhDetection sensitivity ZminAnd comparing the corresponding characteristic value differences, giving a reasonable networking strategy suggestion, and outputting the reasonable networking strategy suggestion in a file form.
When in use, a user inputs basic parameters including radar network parameters, weather radar performance parameters and auxiliary information in an interactive basic parameter user input dialog box (figure 3) according to the flow of figure 2. The radar network parameters comprise the number N of radars and the radar network distance L, and at most three groups are supported, so that 9 networking strategies are provided; the performance parameters of the sky radar comprise the maximum detection distance R of the networking weather radar and the single weather radarmaxMaximum beam diameter bsmaxMaximum minimum beam height bhmaxMaximum detection sensitivity Zmax(ii) a The auxiliary information comprises the wavelengths, production units, production dates and the like of the networking weather radar and the single weather radar. The background receives and transmits the parameter information, and outputs a result file (figure 4) for the user to refer through the model matching and calculating module and the comparison and file output module.
In summary, the following steps: the method and the system for evaluating the weather radar networking strategy are based on the weather radar networking strategy and the networking weather radar performance index, a characteristic value method of characteristic quantity is reversely solved by adopting a fixed cumulative density function value, and radar networks under different strategies, radar networks with specific strategies and single weather radar are differentially comparedUp to beam diameter bsMinimum beam height bhDetection sensitivity ZminAnd quantitatively evaluating the performance of the radar network under different networking strategies for the characteristic values corresponding to the characteristic quantities, providing a reasonable weather radar networking strategy, and outputting the result in a file form (figure 4) for a user to refer. The system is technically developed under a Visal C + +6.0 platform, provides visual and visual service planes for meteorological service personnel, and is convenient for comprehensively evaluating the performances of the radar network in aspects of azimuth resolution, detection blind areas, weak echo detection capability, detection data space consistency and the like under different networking strategies. The result is output in a file form, so that the user can use the result directly. The invention not only fills the blank of the station, improves the service capability of the station, but also serves the services of the distribution and the cooperative observation of the weather radar station network.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (7)

1. A weather radar networking strategy evaluation method is characterized by comprising the following specific steps:
s1, modeling a weather radar networking strategy, and solving an overlapping rate M;
s2, calculating the space domain of the performance indexes (bs, bh, Zmin) of the radar network under different topological structures according to an algorithm;
s3, taking the cumulative probability density function value as 90%, and reversely calculating radar network and single radar performance indexes (bs, bh, Zmin) under different topological structures according to an algorithm to be respectively characteristic values corresponding to characteristic quantities;
s4, differentially comparing the beam diameter bs, the minimum beam height bh and the detection sensitivity Zmin characteristic value, and determining a reasonable weather radar networking strategy.
2. The weather radar networking policy evaluation method of claim 1, wherein: the weather radar networking strategy is parameterized into three mathematical models, namely a regular triangle, a regular quadrangle and a regular hexagon, of a radar network basic unit, and the overlapping rate M is solved; respectively calculating the beam diameter bs, the minimum beam height bh and the detection sensitivity Zmin spatial domain of the radar network under different topological structures according to an algorithm; taking radar performance indexes (bs, bh and Zmin) as characteristic quantities, taking the cumulative probability density function value as 90%, and reversely calculating characteristic values corresponding to the radar mesh beam diameter bs, the lowest beam height bh and the detection sensitivity Zmin under different topological structures, and characteristic values corresponding to the radar beam diameter bs, the lowest beam height bh and the detection sensitivity Zmin a single weather according to an algorithm; and (3) differentially comparing the beam diameter bs, the minimum beam height bh and the detection sensitivity Zmin characteristic value, representing the azimuth resolution, the detection blind area, the weak echo detection capability and the detection data space consistency degree of the weather radar network, quantitatively evaluating the performance of the weather radar network under different networking strategies, and determining a reasonable weather radar networking strategy.
3. The weather radar networking policy evaluation method of claim 2, wherein: parameterizing and expressing a weather radar networking strategy to obtain three mathematical models, namely a regular triangle, a regular quadrangle and a regular hexagon, of a radar network basic unit, and solving the overlapping rate M of the mathematical models; the method specifically comprises the following steps: when the basic unit of the radar net is a regular triangle topological structure, the parameterized mathematical expression of the radar net is expressed as a formula (1); when the basic unit of the radar net is a regular quadrilateral topological structure, the parameterized mathematical expression of the radar net is a formula (2); when the basic unit of the radar net is a regular hexagon topological structure, the parameterized mathematical expression of the radar net is expressed as a formula (3);
Figure FDA0002729783740000021
Figure FDA0002729783740000022
M＝Rmax/L×1，N＝6 (3)
in the formula, N is the number of the radars with the same type, represents a regular polygon (the radars are positioned at the top points) forming N edges, and is a form factor of a basic unit and is a unit; rmax is the maximum detection distance of a single radar in km; l is a radar networking distance, namely the distance between two adjacent radars, and is a unit km; m is the overlapping rate, and the ratio of the maximum detection range of the single radar to the space range of the networking basic unit is a dimensionless quantity.
4. The weather radar networking policy evaluation method of claims 1 and 2, wherein: calculating radar net beam diameter bs, minimum beam height bh and detection sensitivity Zmin spatial domain under different topological structures; the method specifically comprises the following steps: considering the one-to-one correspondence with the space density function of the radar network beam diameter bs, and adopting a formula (4) to solve the space domain step by step; considering the one-to-one correspondence with the lowest beam height bh space density function of the radar network, and adopting a formula (5) to solve the space domain step by step; considering the one-to-one correspondence with the radar network detection sensitivity Zmin space density function, and adopting a formula (6) to solve the space domain step by step;
Figure FDA0002729783740000023
Figure FDA0002729783740000024
Figure FDA0002729783740000025
in the formula, bsmaxFor single weather radar beam diameter b for networkingsMaximum, in meters; bhmaxFor single weather radar minimum beam height b for networkinghMaximum, in meters; zmaxFor single weather radar detection sensitivity Z for networkingminMaximum, in dB; thetasFor clamping the geometric center point of basic unit of radar net to a certain vertex and edgeAngle, in degrees.
5. The weather radar networking policy evaluation method of claim 2, wherein: radar mesh and single radar beam diameter b under different topological structuressMinimum beam height bhDetection sensitivity ZminA spatial density function calculation method; the method specifically comprises the following steps: radar net beam diameter bsMinimum beam height bhDetection sensitivity ZminThe space density functions are respectively in one-to-one correspondence with the space domains, and the formulas (7) to (9) are adopted for step-by-step calculation; single weather radar beam diameter bsMinimum beam height bhDetection sensitivity ZminThe spatial density function is directly calculated using equations (10) - (12).
Figure FDA0002729783740000031
Figure FDA0002729783740000032
Figure FDA0002729783740000033
Figure FDA0002729783740000034
Figure FDA0002729783740000035
Figure FDA0002729783740000036
Wherein f represents a probability density function, and is dimensionlessAn amount; the superscript N represents a radar network, and the superscript-free N represents a single weather radar; subscript bs、bh、ZminRespectively representing the beam diameter, the lowest beam height and the probability density function of detection sensitivity; inside the small bracket and the right side b of the big brackets、bh、ZminRespectively representing the beam diameter, the lowest beam height and the detection sensitivity as independent variables; bsmax、bhmax、Zmax、θsAnd M is as defined above.
6. The weather radar networking policy evaluation method of claim 2, wherein: radar mesh and single weather radar beam diameter b under different topological structuressMinimum beam height bhDetection sensitivity ZminA method of calculating a feature value; the method specifically comprises the following steps: let radar net beam diameter bsMinimum beam height bhDetection sensitivity ZminRespectively, the characteristic quantity mu in the formula (13), the space domain is respectively calculated by the formulas (4) to (6), the probability density function is respectively expressed by the formulas (7) to (12), and when the cumulative density function value F (mu) is 90 percent, the radar mesh beam diameter b is sequentially reversely calculated by the formula (13)sMinimum beam height bhDetection sensitivity ZminThe characteristic value corresponding to the characteristic quantity;
Figure FDA0002729783740000041
where F (μ) is the cumulative spatial density function of the characteristic quantity μ (with values between (0, 1)), FU(μ) is a space density function of the feature quantity μ, and a δ value corresponding to a specific cumulative space density function value, called a feature value corresponding to the feature quantity μ, can be obtained by reverse thinking and knowing the range of the feature quantity μ value.
7. A weather radar networking policy evaluation system is characterized by comprising:
a parameter information transmission module for acquiring basic parameters and packets input by a user in a man-machine interactive mannerThe method comprises the steps of (1) including radar network parameters, weather radar performance parameters and auxiliary information; the sky radar performance parameters comprise radar network parameters including the number N of radars (a radar network topological structure) and a radar network distance L; maximum detection distance RmaxMaximum beam diameter bsmaxMaximum minimum beam height bhmaxMaximum detection sensitivity Zmax(ii) a The auxiliary information comprises weather radar wavelength, production unit and production date;
the model matching and calculating module is used for matching the basic unit mathematical model of the radar net according to the radar net parameters and calculating the beam diameter b of the weather radar net and a single weather radarsMinimum beam height bhDetection sensitivity ZminCorresponding characteristic values;
the comparison and file output module compares the radar net under different strategies, the radar net with the specific strategy and the radar beam diameter b of the single weather radar according to the user requestsMinimum beam height bhDetection sensitivity ZminAnd giving out a reasonable weather radar networking strategy suggestion according to the corresponding characteristic value difference, and outputting the suggestion in a file form so as to facilitate the reference of a user.
CN202011114608.9A 2020-10-19 2020-10-19 Weather radar networking strategy evaluation method and system Pending CN112270059A (en)

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