CN112199077A - DTIN-based CORS station selection index optimization method - Google Patents
DTIN-based CORS station selection index optimization method Download PDFInfo
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- CN112199077A CN112199077A CN202011110717.3A CN202011110717A CN112199077A CN 112199077 A CN112199077 A CN 112199077A CN 202011110717 A CN202011110717 A CN 202011110717A CN 112199077 A CN112199077 A CN 112199077A
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Abstract
The invention discloses a CORS station selection index optimization method based on DTIN, which is implemented by inputting coordinates of a station to be selected and a selected station and the number of station selections; combining all stations to be selected according to the station selection number; calculating the net forming conditions of different combinations based on a DTIN method; calculating the base length and variance of different net types; selecting a net type with the smallest base length variance; the invention provides topological information such as optimized position, distribution, base length and the like of the reference station through the position of the reference station, and can realize the functions of quickly and automatically CORS networking station selection and outputting related pictures and information by depending on indexes.
Description
Technical Field
The invention relates to the field of reference station selection, in particular to a CORS station selection index optimization method based on DTIN.
Background
The current mainstream CORS network construction algorithm mainly adopts the following two networking modes:
1. grid method: carrying out artificial, simple and direct uniform station selection by utilizing the grid;
2. a point distribution method: and (4) distributing points on the map to simulate users at different positions, and then evaluating the theoretical performance of each point position.
However, due to the large human interference factor, the global optimization design is difficult to realize, and the optimal geometric configuration cannot be ensured, which takes time; and the time consumed by calculation is positively correlated with the number of stations to be selected, the net forming area and the distribution density, so the calculation time can be extremely long.
Based on the above series of problems, the following technical solutions have been developed.
Disclosure of Invention
The invention aims to provide a CORS station selection index optimization method based on DTIN (delay tolerant network in-situ), which provides topological information such as the optimized position, distribution, base length and the like of a reference station through the position of the reference station, and can realize the functions of quickly and automatically CORS networking station selection and outputting related pictures and information by means of indexes.
The technical scheme adopted by the invention for realizing the purpose is as follows:
a CORS station selection index optimization method based on DTIN comprises the following steps:
step 1: inputting the station to be selected, the coordinates of the selected station and the station selection number;
step 2: combining all stations to be selected according to the station selection number;
and step 3: calculating the net forming conditions of different combinations based on a DTIN method;
and 4, step 4: calculating the base length and variance of different net types;
and 5: selecting a net type with the smallest base length variance;
step 6: and outputting and drawing the calculation result.
Further, the step 2 of combining all the candidate stations according to the number of the selected stations includes combining the numbers of the candidate stations by using combinations in iterative functions library itertools of python programming language, and arranging the numbers of the candidate stations into a two-dimensional list.
Further, the step 3 of calculating the different combinations of the web formation conditions based on the DTIN method includes using a space.delaunay function in a scientific computing library scipy of python programming language, combining the selected station and the station to be selected into a web by using the DTIN method, and arranging the station numbers into a two-dimensional list in which each row is the station number of three endpoints of each small triangle in the web formation.
Further, in step 6, the calculation result is outputted and plotted, wherein the outputted calculation result may include, but is not limited to, baseline variance, average baseline length, and net-forming area, and the outputted graph is plotted by site and net type using the scientific plotting library matplotlib of python programming language.
Compared with the prior art, the invention has the advantages that:
the CORS station selection index optimization method based on the DTIN is based on python programming language, can realize simple, convenient and rapid environment construction of multiple platforms, the CORS network formed by the DTIN method is suitable for the VRS broadcasting principle, the method is used for evaluating the geometric configuration of different station selection conditions, specific evaluation indexes are provided, such as baseline length variance, the required calculated amount is small, and the method can be used for rapid calculation in portable equipment with energy conservation and low calculation capacity.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of the present invention;
FIG. 2 is a partial code diagram of the present invention;
FIG. 3 is a partial code diagram of the present invention
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.
The invention provides a CORS station selection index optimization method based on DTIN. The technical solution provided by the present invention will be explained in more detail with reference to fig. 1-3.
At present, multiple sets of CORS reference stations which are relatively independent exist in various industries in many places, and due to the fact that the reference stations lack of unified planning and objective conditions such as station address repetition and uneven distribution, data references provided by the CORS are not unified, services and data cannot be shared, and the user experience is poor. In addition, because an accurate, effective and feasible CORS site selection optimal evaluation method is lacked to evaluate the whole network precision after the fusion and transformation of local CORS in the city range, which is a difficulty of current research, the invention provides a CORS optimal site selection evaluation decision method taking variance as an index based on a DTIN technology, solves the problems of non-uniform evaluation basis, more artificial interference factors, unobvious actual effect and the like in the current CORS networking technology through automatic program optimization and artificial aid decision, provides technical support for the transformation (including retention, migration, access and other modes) of a reference station fused with a CORS reference station, and achieves optimal social benefit and economic benefit. The following is a detailed description of the technical solution of the present invention:
as shown in fig. 1, the present invention comprises the steps of:
step 1, inputting the station to be selected, the coordinate of the selected station and the station selection number;
step 2, combining all stations to be selected according to the station selection number;
step 3, calculating the net forming conditions of different combinations based on a DTIN method;
step 4, calculating the base length and variance of different net types;
step 5, selecting the net type with the minimum base length variance;
and 6, outputting and drawing the calculation result.
The step 2 of combining all the candidate stations according to the number of the selected stations means that combining functions in an iterative function library itertools of a python programming language are used to combine the numbers of the candidate stations and arrange the numbers into a two-dimensional list, and specific code contents can be shown in fig. 2-3 in detail.
Secondly, the step 3 of calculating the web formation conditions of different combinations based on the DTIN method means that the selected station and the station to be selected are combined into a web by using a space.
And after calculating the base length and the variance of the base length of different net types, selecting the net type with the minimum base length variance and continuing the operation of the step 6.
And 6, outputting and drawing the calculation result, wherein the output calculation result can include but is not limited to a baseline variance, an average baseline length and a net-forming area, and the output graph is obtained by drawing a site and a net by using a scientific drawing library matplotlib of python programming language.
The grid method referred to in the background art is conventionally generally referred to as a rectangular grid method, where selected regions are overlaid with a regular rectangular grid of a certain density. And by combining the existing station positions, technicians conduct subjective uniform station selection according to experience, and different station selection schemes can be generated according to different technicians.
The prior art refers to the point distribution method including system point distribution method and partition point distribution method.
The system point distribution method is to carry out coincidence on a selected area and a point network with regular density, and to enable the coordinates of each point to be used as the position of a virtual user to participate in calculating the performance of a target CORS network of different to-be-selected station combinations so as to carry out optimization.
The partition distribution method is based on a system distribution method, further considers user density and distribution requirements, and controls the accuracy of different areas participating in calculation by partitioning the selected area with different distribution densities according to different weighing factors, such as low-density distribution and high-density distribution in areas with uniform and non-uniform user distribution. And then irregular density distribution can be carried out according to the requirement.
The grid method and the point distribution method mentioned above are difficult to realize global optimization design due to large human interference factors, cannot ensure that the geometric configuration is optimal, and take time.
On the basis of the existing technical scheme, the invention solves the problems of non-uniform evaluation basis, more artificial interference factors, unobvious actual effect and the like in the current CORS networking technology through automatic program optimization and artificial aid decision, provides technical support for the reconstruction (retention, migration, access and other modes) of the reference station fused with the CORS reference station, and achieves optimal social benefit and economic benefit.
Of course, the prior art also adopts an over-MDOP (orbital dynamics parameter precision attenuation factor) evaluation method, the MDOP is closely related to the uniform distribution degree of the ground station, and the method has a similarity with the baseline variance used by the method of the invention as an evaluation index, but has the defects that: the method is complex in calculation, high in required calculation force, long in consumed time, and insensitive to site position change of CORS networking with small area by indexes, so that the method cannot be used as the most optimal solution, and the method is improved by comprehensively considering the current technical defects on several technical schemes and has the technical effect of optimal solution.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (4)
1. A CORS station selection index optimization method based on DTIN is characterized by comprising the following steps:
step 1: inputting the station to be selected, the coordinates of the selected station and the station selection number;
step 2: combining all stations to be selected according to the station selection number;
and step 3: calculating the net forming conditions of different combinations based on a DTIN method;
and 4, step 4: calculating the base length and variance of different net types;
and 5: selecting a net type with the smallest base length variance;
step 6: and outputting and drawing the calculation result.
2. The method as claimed in claim 1, wherein the step 2 of combining all candidate stations according to the number of selected stations includes combining the numbers of the candidate stations into a two-dimensional list by using combinations in iterative functions library itertools of python programming language.
3. The method for optimizing CORS station selection index based on DTIN as claimed in claim 1, wherein the step 3 of calculating different combinations of net formation based on DTIN method includes using space.
4. The method as claimed in claim 1, wherein the computing results are outputted and plotted in step 6, wherein the outputted computing results include but are not limited to baseline variance, average baseline length, and net-forming area, and the outputted graph is plotted from site and net-forming by using mathplotlib, a scientific plotting library of python programming language.
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| CN111652505A (en) * | 2020-06-02 | 2020-09-11 | 中国联合网络通信集团有限公司 | Method, device and equipment for evaluating base station deployment rationality |
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