Fusion positioning method based on 5G communication network and Beidou satellite navigation system

Abstract

The present invention discloses a fusion positioning method based on a 5G communication network and a Beidou satellite navigation system, which belongs to the field of positioning technology. The method comprises: step one: obtaining historical Beidou positioning data, screening the historical Beidou positioning data, and determining corresponding abnormal positioning data; step two: transforming the abnormal positioning data to form a plurality of abnormal vectors, and setting a corresponding communication feature detail table according to each abnormal vector; step three: establishing a corresponding problem solving map according to the communication feature detail table; step four: marking a service area, setting a service area information map corresponding to the service area, identifying the service area information map according to the problem solving map, and determining each incompatible solution point; step five: matching a corresponding communication solution method for each incompatible solution point according to the problem solving map, optimizing the matched communication solution method, and obtaining a corresponding 5G communication fusion adjustment plan; and performing fusion adjustment according to the 5G communication fusion adjustment plan.

Description

Technical Field

[0001] The present invention belongs to the field of positioning technology, and specifically is a fusion positioning method based on 5G communication network and Beidou satellite navigation system. Background Art

[0002] With the rapid development of mobile communication technology, people's demand for positioning services is getting higher and higher. Traditional positioning technology mainly relies on GPS, but it has problems such as low positioning accuracy and easy signal obstruction or interference. With the advent of the 5G era, the joint application of "Beidou + 5G" will become an inevitable development trend. 5G wireless network has the characteristics of high speed, large capacity, low latency and high reliability, providing support for high-precision distance measurement; Beidou can provide very accurate positioning services; the combination of "Beidou + 5G" in navigation can realize a high-precision, high-reliability and high-security navigation system; based on this, the present invention provides a fusion positioning method based on 5G communication network and Beidou satellite navigation system. Summary of the invention

[0003] In order to solve the problems existing in the above-mentioned scheme, the present invention provides a fusion positioning method based on 5G communication network and Beidou satellite navigation system.

[0004] The purpose of the present invention can be achieved by the following technical solutions:

[0005] A fusion positioning method based on 5G communication network and Beidou satellite navigation system, the method includes:

[0006] Step 1: Obtain historical Beidou positioning data, screen the historical Beidou positioning data, and determine corresponding abnormal positioning data;

[0007] Furthermore, the method for screening historical Beidou positioning data includes:

[0008] An abnormality recognition model is established. The expression of the abnormality recognition model is:

[0009] Where: x is the historical Beidou positioning data; if x is ananomaly means if x is abnormal data; other wise means other situations;

[0010] The historical Beidou positioning data is analyzed by the anomaly recognition model to obtain corresponding anomaly positioning data.

[0011] Step 2: transform the abnormal location data to form a plurality of abnormal vectors, and set a corresponding communication feature detailed table according to each abnormal vector; the communication feature detailed table is used to count the corresponding reasons for failure and the corresponding communication abnormality identification features;

[0012] Furthermore, the method for converting the abnormal location data includes:

[0013] Set a limited verification feature table, which is used to count various abnormal features; establish a feature judgment model, the expression is Wherein: s is the abnormal location data; the abnormal location data is analyzed by the limited verification feature table and the feature judgment model to obtain each characteristic value corresponding to each abnormal location data; and each characteristic value is integrated into an abnormal vector corresponding to the abnormal location data.

[0014] Furthermore, the method for setting the communication feature list includes:

[0015] Merge the abnormal vectors to form a plurality of merged areas; identify the non-compliance reasons corresponding to the merged areas, screen the non-compliance reasons, and determine the range area; identify the abnormal positioning data corresponding to the range area, mark them as abnormal analysis data, and determine the corresponding communication abnormality identification features according to the abnormal analysis data;

[0016] The communication anomaly identification features are associated with corresponding non-compliance reasons, and a communication feature detail table is generated according to each communication anomaly identification feature corresponding to each non-compliance reason.

[0017] Furthermore, the method for merging the abnormal vectors includes:

[0018] Step SA1: Integrate each abnormal vector into a set to be merged v is a positive integer; all sample points in the set to be merged are regarded as an initial cluster;

[0019] Step SA2: Calculate the Euclidean distance between the two initial clusters, merge the areas corresponding to the two nearest initial clusters whose Euclidean distance is not greater than the threshold X2 to form a merged area, and determine the merged cluster corresponding to the merged area;

[0020] When there are no two initial clusters whose Euclidean distance is not greater than the threshold X2, the areas corresponding to the remaining initial clusters are marked as merged areas and the analysis is stopped;

[0021] Step SA3: Calculate the distance L (C h , C i ), C h and C i Respectively represent the merged cluster and the initial cluster, i = 1, 2, ..., n, n is a positive integer, m is a positive integer;

[0022]

[0023] Where: Represents vector With the initial cluster C i Euclidean distance between corresponding vectors;

[0024] Step SA3: When L(C h , C i ) is greater than the threshold value X2, no merging is performed and the process returns to step SA2; when L(C h , C i ) is not greater than the threshold X2, the merged cluster and the area corresponding to the initial cluster are merged to form a new merged area, and the process returns to step SA3.

[0025] Step 3: Create a corresponding problem-solving map based on the communication feature list;

[0026] Furthermore, the method for setting the problem solving map includes:

[0027] Identify the communication anomaly identification features corresponding to each non-compliance reason in the communication feature details table, and generate the corresponding initial chain according to the non-compliance reason and the corresponding communication anomaly identification features; set the communication solution corresponding to each initial chain, and if the solution cannot be solved by combining 5G technology, then the initial chain will be eliminated, that is, when the communication solution cannot be set, the corresponding initial chain will be eliminated;

[0028] Identify the solution characteristics corresponding to each communication solution;

[0029] A problem solving chain is formed according to the communication solution method, the solution characteristics and the corresponding initial chain; and a corresponding problem solving map is formed according to each problem solving chain.

[0030] Step 4: Mark the service area, set a service area information map corresponding to the service area, identify the service area information map according to the problem solving map, and determine each incompatible solution point;

[0031] Step 5: Match a corresponding communication solution to each of the incompatible solution points according to the problem solving map, optimize the matched communication solution, and obtain a corresponding 5G communication fusion adjustment plan; perform fusion adjustment according to the 5G communication fusion adjustment plan.

[0032] Furthermore, the method further includes step 6: determining each monitoring item, collecting technical information of each monitoring item; setting a full-process problem map; setting application features corresponding to the technical information, inputting the application features into the full-process problem map for matching, and determining each application point;

[0033] Step 7: Perform application analysis on each of the application points to obtain the corresponding application value, mark the application point whose application value is greater than the threshold X1 as a recommended point, integrate the recommended points, monitoring items, and technical information into technical recommendation information, and send the technical recommendation information to the management personnel.

[0034] Furthermore, the calculation method of the application value includes:

[0035] Acquire application point information and technical information, analyze the application point information and technical information through a preset effect evaluation model, and obtain corresponding optimization values, where the value range of the optimization value is [0, 100];

[0036] Estimate the corresponding implementation cost, according to the formula Calculate the corresponding application value;

[0037] Where: P ior is the application value; YP ate is the optimization value; CB is the implementation cost; b1 and b2 are both proportional coefficients, with a value range of 0 <b1≤1,0<b2≤1。

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] The present invention realizes accurate optimization of unqualified locations in the service area, greatly reducing the workload of manual judgment on whether adjustments are needed after the application of 5G technology; at the same time, the corresponding analysis efficiency and analysis accuracy are improved, which is convenient for real-time analysis and identification of the service area; by accurately identifying unsuitable solution points, it is convenient to give full play to the role of existing equipment, systems and other resources; avoid replacement when the application conditions are met, resulting in waste of resources; and achieve reasonable cost control. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0042] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] like Figure 1 As shown, a fusion positioning method based on 5G communication network and Beidou satellite navigation system includes:

[0044] Step 1: Obtain historical Beidou positioning data, screen the obtained historical Beidou positioning data, and determine the corresponding abnormal positioning data;

[0045] Historical Beidou positioning data includes the historical positioning data of the Beidou satellite navigation system under various circumstances, which is mainly obtained with the communication network as the variable; such as historical Beidou positioning data under 3G and 4G communication networks.

[0046] The corresponding anomaly recognition model is preset. The anomaly recognition model is trained and established based on the set historical Beidou positioning data. Specifically, it is established based on the isolation forest algorithm and is used to identify unqualified or abnormal data in historical Beidou positioning data. The input data is Beidou positioning data, and the output data is anomaly values, which include 1 or 0; the expression is Where: x is the historical Beidou positioning data; if x is ananomaly means if x is abnormal data; other wise means other situations;

[0047] The historical Beidou positioning data is analyzed through the anomaly recognition model to identify the corresponding abnormal positioning data.

[0048] Step 2: transform the abnormal location data to form a number of abnormal vectors, and set a corresponding feature generation communication feature detailed table according to each abnormal vector; the feature generation communication feature detailed table is used to count the corresponding unqualified reasons and the corresponding communication abnormality identification features;

[0049] Set up a limited verification feature table, which is used to count various abnormal features that may be generated due to the limitations of 3G, 4G and other communication networks, and summarize them; combine the current recognition and judgment technology to establish a corresponding feature judgment model, which is used to judge whether the abnormal location data has the abnormal feature; if there is such an abnormal feature, output 1, otherwise output 0; the expression is Where s is the abnormal location data; the abnormal location data is analyzed by limiting the check feature table and the established feature judgment model to obtain the eigenvalues ​​corresponding to each abnormal location data, that is, 1 or 0; according to each eigenvalue, it is integrated into the abnormal vector corresponding to the abnormal location data, such as

[0050] The abnormal vectors are merged to obtain the merged areas, the reasons for non-compliance corresponding to the merged areas are identified, and the merged areas belonging to the limitations of communication networks such as 3G and 4G are merged to obtain the range area.

[0051] The method for merging the abnormal vectors includes:

[0052] Step SA1: Integrate each abnormal vector into a set to be merged v is a positive integer; all sample points in the set to be merged are regarded as an initial cluster;

[0053] Step SA2: Calculate the Euclidean distance between the two initial clusters, merge the regions corresponding to the two nearest initial clusters whose Euclidean distance is not greater than the threshold X2 to form a merged region and an abnormal vector corresponding to the merged region, and mark the multiple abnormal vectors corresponding to the merged region as a merged cluster;

[0054] When there are no two initial clusters whose Euclidean distance is not greater than the threshold X2, the areas corresponding to the remaining initial clusters are marked as merged areas and the analysis is stopped;

[0055] Step SA3: Calculate the distance L (C h , C i ), C h and C i are the corresponding merged clusters and initial clusters, i = 1, 2, ..., n, n is a positive integer, so To represent, for example, j=3, m is a positive integer;

[0056]

[0057] Where: Represents vector With the initial cluster C i Euclidean distance between corresponding vectors;

[0058] Step SA3: When L(C h , C i ) is greater than the threshold value X2, no merging is performed and the process returns to step SA2; when L(C h , C i) is not greater than the threshold X2, the merged cluster and the area corresponding to the initial cluster are merged to form a new merged area, and the process returns to step SA3.

[0059] Each abnormal positioning data corresponding to the identification range area is marked as abnormal analysis data, and the corresponding communication abnormality identification features are determined based on the abnormal analysis data, that is, the features reflected under this condition will cause positioning abnormalities, such as communication network, geographical environment, buildings and other related features that cause positioning abnormalities; the obtained communication abnormality identification features are associated with the corresponding non-compliance reasons, and there will be a situation where the non-compliance reasons correspond to multiple communication abnormality identification features. A communication feature detailed table is generated according to each communication abnormality identification feature corresponding to each non-compliance reason.

[0060] Step 3: Set the corresponding 5G solution according to the reasons for non-compliance and the corresponding communication anomaly identification features in the communication feature details table, that is, solve the problems caused by the limitations of the original 4G, 3G and other communication networks based on the advantages of the current 5G communication network; the specific solution is set by the corresponding professionals; mark the corresponding 5G solution as a communication solution, mark the corresponding solution features of the communication solution, and set them according to the corresponding keywords to facilitate a quick understanding of the general situation of the communication solution;

[0061] The obtained communication solutions and solution features are integrated with the corresponding non-compliance reasons and communication anomaly identification features to form a corresponding problem solution chain; and a corresponding problem solution map is formed according to each problem solution chain.

[0062] Step 4: Mark the service area, that is, the location area that needs service; set the service area information map corresponding to the service area, which is used to display the characteristic data related to communication, construction, environment, positioning, etc. in various places in the service area; maintain and update the service area information map according to manual or existing relevant technologies; identify the service area information map in real time according to the problem solving map, and identify the corresponding unsuitable solution points; that is, use the communication anomaly identification features, solution features and non-compliance reasons in the problem solving map to identify and match the service area information map, determine the corresponding location, and mark it as an unsuitable solution point.

[0063] Step 5: Match the corresponding communication solutions for each incompatible solution point according to the problem solving map, and optimize the matched communication solutions, that is, make adaptive adjustments through professionals, and then discuss with the expert group. After passing the discussion, obtain the corresponding 5G communication fusion adjustment plan; make fusion adjustments based on the obtained 5G communication fusion adjustment plan.

[0064] The present invention realizes accurate optimization of unqualified locations in the service area, greatly reducing the workload of manual judgment on whether adjustments are needed after the application of 5G technology; at the same time, the corresponding analysis efficiency and analysis accuracy are improved, which is convenient for real-time analysis and identification of the service area; by accurately identifying unsuitable solution points, it is convenient to give full play to the role of existing equipment, systems and other resources; avoid replacement when the application conditions are met, resulting in waste of resources; and achieve reasonable cost control.

[0065] In one embodiment, with the rapid development of various technologies, technologies related to positioning systems continue to emerge. If they cannot be well evaluated and analyzed, it is easy to fail to apply new technologies in a timely manner or over-apply new technologies, resulting in waste of resources. Based on this, this implementation is proposed, and the specific process is as follows:

[0066] Step 6: Collect real-time information on new technologies in the field of positioning technology, obtain technical information of each new technology, and mark the corresponding new technology as a monitoring item; each technical information is the technical information of each monitoring item, and the technical information includes the detailed introduction, advantages and disadvantages, application methods and other relevant data of the technology; perform application analysis based on the technical information corresponding to the monitoring item and determine each application point;

[0067] Methods for conducting application analysis include:

[0068] According to the process of determining the problem-solving map in step 2 to step 4, the whole-process problem map is set; that is, without screening through the limited verification feature table, various abnormal location data are directly classified to determine various non-conforming reasons and the identification features corresponding to each non-conforming reason, and uniformly marked as problem identification features; each initial chain is formed, and the initial map is directly generated according to each initial chain;

[0069] Subsequently, the initial map is optimized from an optimization perspective to determine which directions still need optimization, such as accuracy, anti-interference, etc.; the reasons for failure are also added to the initial map to form the reasons for failure and problem identification features of existing problems and demand optimization directions; the initial map is established comprehensively, excluding corresponding solutions.

[0070] Get the service area information map, combine the initial map with the service area information map, mark each area with problems, and mark the corresponding reasons for non-conformity and problem identification features; integrate them into a full-process problem map.

[0071] Identify the technical information of the monitoring item and set the corresponding application features based on the technical information. The application features are set according to the advantages of the new technology corresponding to the monitoring item, so as to directly understand the characteristics of the problems it can solve.

[0072] The obtained application features are input into the full-process problem map for matching, and the areas that can be solved by the monitoring items are obtained and marked as application points.

[0073] Step 7: Perform application analysis on each application point to obtain the corresponding application value, mark the application point with an application value greater than the threshold X1 as a recommended point, integrate the recommended points, monitoring items, and technical information into technical recommendation information, and send the obtained technical recommendation information to management personnel; the management personnel will evaluate and verify and organize experts to conduct demonstration.

[0074] Among them, the method of performing application analysis on each application point includes:

[0075] A corresponding effect evaluation model is established based on a neural network such as a CNN network or a DNN network, and a corresponding training set is established manually for training. The training set includes input data and output data. The input data includes technical information and application point information. The application point information includes detailed information, characteristics, reasons for non-conformity, current application technology information and other related information of the area; the output data includes an optimization value; the optimization value range is [0, 100], 0 means that the optimization degree is equal to the current application technology, and a technology lower than the current application technology is directly eliminated; the optimization value evaluates the corresponding optimization effect in the advantage information, and then converts and sets the corresponding optimization value; the corresponding effect value is obtained by analyzing the effect evaluation model after successful training.

[0076] Estimate the corresponding implementation cost, according to the formula Calculate the corresponding application value;

[0077] Where: P ior is the application value; YP ate is the optimization value; CB is the implementation cost; b1 and b2 are both proportional coefficients, with a value range of 0 <b1≤1,0<b2≤1。

[0078] The above formulas are all calculated by removing dimensions and taking numerical values. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained by simulating a large amount of data.

[0079] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A fusion positioning method based on 5G communication network and Beidou satellite navigation system, characterized in that: Methods include: Step 1: Obtain historical Beidou positioning data, screen the historical Beidou positioning data, and determine corresponding abnormal positioning data; Step 2: transform the abnormal location data to form a plurality of abnormal vectors, and set a corresponding communication feature detailed table according to each abnormal vector; the communication feature detailed table is used to count the corresponding reasons for failure and the corresponding communication abnormality identification features; Step 3: Create a corresponding problem-solving map based on the communication feature list; Step 4: Mark the service area, set the service area information map corresponding to the service area, identify and match the service area information map according to the communication anomaly identification features, solution features and non-compliance reasons in the problem solution map, determine the corresponding matching position, and mark the corresponding matching position as an unsuitable solution point; Step 5: Matching corresponding communication solutions for each of the incompatible solution points according to the problem solution map, optimizing the matched communication solutions, and obtaining corresponding 5G communication fusion adjustment solutions; performing fusion adjustment according to the 5G communication fusion adjustment solutions; Step 6: Determine each monitoring item and collect technical information of each monitoring item; set a full-process problem map, which is a service area information map marked with each area with problems and corresponding non-conformity reasons and problem identification characteristics; set corresponding application features according to the technical information, input the application features into the full-process problem map for matching, and mark the areas that can be solved by the monitoring items as application points; Step 7: Perform application analysis on each of the application points to obtain the corresponding application value, mark the application point whose application value is greater than the threshold X1 as a recommended point, integrate the recommended points, monitoring items, and technical information into technical recommendation information, and send the technical recommendation information to the management personnel.

2. The fusion positioning method based on 5G communication network and Beidou satellite navigation system according to claim 1 is characterized in that: Methods for filtering historical Beidou positioning data include: An abnormality recognition model is established. The expression of the abnormality recognition model is: ; In the formula: x is the historical Beidou positioning data; if x is an anomaly means if x is an abnormal data; other wise means other situations; The historical Beidou positioning data is analyzed by the anomaly recognition model to obtain corresponding anomaly positioning data.

3. The fusion positioning method based on 5G communication network and Beidou satellite navigation system according to claim 1 is characterized in that: Methods for transforming abnormal location data include: Set a limited verification feature table, which is used to count various abnormal features; establish a feature judgment model, the expression is ; Wherein: s is the abnormal location data; the abnormal location data is analyzed by the limited verification feature table and the feature judgment model to obtain the characteristic values ​​corresponding to each abnormal location data; and the characteristic values ​​are integrated into the abnormal vector corresponding to the abnormal location data.

4. The fusion positioning method based on 5G communication network and Beidou satellite navigation system according to claim 3 is characterized in that: The method of setting the communication characteristics list includes: Merge the abnormal vectors to form a plurality of merged areas; identify the non-compliance reasons corresponding to the merged areas, screen the non-compliance reasons, and determine the range area; identify the abnormal positioning data corresponding to the range area, mark them as abnormal analysis data, and determine the corresponding communication abnormality identification features according to the abnormal analysis data; The communication anomaly identification features are associated with corresponding non-compliance reasons, and a communication feature detail table is generated according to each communication anomaly identification feature corresponding to each non-compliance reason.

5. The fusion positioning method based on 5G communication network and Beidou satellite navigation system according to claim 1 is characterized in that: The method of setting up the problem solving map includes: Identify the communication anomaly identification features corresponding to each non-compliance reason in the communication feature details table, generate the corresponding initial chain according to the non-compliance reason and the corresponding communication anomaly identification features; set the communication solution corresponding to each initial chain, and when the communication solution cannot be set, remove the corresponding initial chain; Identify the solution characteristics corresponding to each communication solution; A problem solving chain is formed according to the communication solution method, the solution characteristics and the corresponding initial chain; and a corresponding problem solving map is formed according to each problem solving chain.

6. The fusion positioning method based on 5G communication network and Beidou satellite navigation system according to claim 1 is characterized in that: The calculation method of application value includes: Acquire application point information and technical information, analyze the application point information and technical information through a preset effect evaluation model, and obtain corresponding optimization values, where the value range of the optimization value is [0, 100]; Estimate the corresponding implementation cost, according to the formula Calculate the corresponding application value; Where: P ior is the application value; YP ate is the optimization value; CB is the implementation cost; b1 and b2 are both proportional coefficients, with a value range of 0 <b1≤1,0<b2≤1。

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