Vehicle accurate positioning correction system based on Beidou satellite and correction method thereof

Abstract

The invention discloses a Beidou satellite-based vehicle accurate positioning correction system and a correction method thereof, and relates to the field of vehicle positioning, the Beidou satellite-based vehicle accurate positioning correction system comprises a vehicle accurate positioning correction platform which comprises a vehicle input module, a test acquisition module, a test analysis module, a positioning correction module and a rescue management module; the vehicle input module is used for acquiring vehicle basic information and positioning equipment information; the test acquisition module is used for setting a test planning decision chain according to the multivariate influence factors and acquiring positioning test data according to the test planning decision chain; the test analysis module performs data analysis on the positioning test data to obtain corresponding positioning performance influence parameters; the positioning correction module is used for carrying out weight analysis according to the positioning performance influence parameters to obtain accurate positioning information; the rescue management module is used for integrating the accurate positioning information corresponding to each vehicle in the rescue vehicle team to generate cooperative verification information; according to the invention, the efficiency in the vehicle positioning test process is improved.

Description

Technical Field

[0001] The present invention relates to the field of vehicle positioning technology, and in particular to a vehicle precise positioning correction system based on Beidou satellite and a correction method thereof. Background Art

[0002] High-precision satellite positioning technology is based on satellite positioning, combined with differential data and inertial navigation technology to achieve sub-meter or even centimeter-level positioning. High-precision satellite positioning is a new technology developed in recent years. It has been applied in industries such as unmanned driving and precise measurement of farmland, but its application in rescue vehicles has not been reported in the literature. However, the geographic positioning information of rescue teams and rescue vehicles is very important. It can not only guide the rescue team to drive safely and reach the disaster-stricken area as soon as possible, but also facilitate relevant departments and leaders to grasp the real-time location information of the rescue team in a timely manner and conduct remote dispatch and command.

[0003] After searching, the invention patent with Chinese patent number CN110837092A discloses a method and device for vehicle positioning and lane-level path planning. The vehicle positioning method includes: obtaining point cloud data around the vehicle within the positioning period and positioning information of the satellite positioning system, obtaining data of the first feature marker according to the point cloud data, matching the map data corresponding to the first feature marker in the pre-established electronic map according to the data of the first feature marker and the positioning information of the satellite positioning system, and locating the vehicle according to the matched map data. Through the above method, compared with the positioning of the existing satellite positioning system, the positioning of the first feature marker obtained by laser radar scanning is more accurate, and when there is no first feature marker within the positioning period, the vehicle can also be positioned through the controller local area network vehicle posture data and the lane-level path planning line, which can also improve the positioning accuracy.

[0004] Compared with the existing technology, the invention patent with Chinese patent number CN110837092A can make the first characteristic marker obtained by laser radar scanning make positioning more accurate. When there is no first characteristic marker within the positioning period, the vehicle can also be positioned through the controller local area network vehicle posture data and lane-level path planning route, which can also improve the positioning accuracy.

[0005] However, in actual use, the above method does not take into account the impact of climate and meteorological factors, spatial environmental factors and other factors on the vehicle positioning process. Instead, the vehicle positioning process is analyzed and processed according to climate and meteorological factors, spatial environmental factors and other factors, which reduces the test efficiency of the vehicle positioning test to a certain extent. Summary of the invention

[0006] The purpose of the present invention is to solve the shortcoming of low testing efficiency in the prior art and to propose a vehicle precise positioning correction system based on Beidou satellite and a correction method thereof.

[0007] In order to achieve the above object, the present invention adopts the following technical solutions:

[0008] A vehicle precise positioning correction system based on Beidou satellite and a correction method thereof, comprising a vehicle precise positioning correction platform, wherein the vehicle precise positioning correction platform comprises a vehicle input module, a test collection module, a test analysis module, a positioning correction module and a rescue management module;

[0009] The vehicle entry module is used to obtain basic vehicle information and positioning device information of corresponding vehicles in the rescue team;

[0010] The test acquisition module is used to set a test planning decision chain according to the multivariate influencing factors corresponding to the corresponding vehicle, and collect corresponding positioning test data according to the test planning decision chain by the positioning device information;

[0011] The test analysis module is used to perform data analysis on the positioning test data obtained under the influence of multiple influencing factors to obtain corresponding positioning performance influencing parameters;

[0012] The positioning correction module is used to perform weight analysis according to the positioning performance influencing parameters corresponding to the vehicle basic information, obtain weight data of each positioning performance influencing parameter, perform positioning correction processing according to the corresponding weight data, and obtain accurate positioning information;

[0013] The rescue management module is used to integrate the precise positioning information corresponding to each vehicle in the rescue team, and to perform collaborative verification processing on the precise positioning information of the corresponding vehicles according to the integration result to generate collaborative verification information.

[0014] The above technical solution further includes: the process of obtaining basic vehicle information and positioning device information includes:

[0015] Set up information entry window and information retrieval window;

[0016] Obtain the corresponding rescue team information through the information input window, verify and analyze the obtained rescue team information, and obtain the corresponding vehicle model data in the rescue team information according to the verification processing result;

[0017] The obtained vehicle model data is input into the information retrieval window, and the vehicle basic information and positioning device information corresponding to the corresponding vehicle are obtained through the information retrieval window.

[0018] Further, the process of setting up the test planning decision chain includes:

[0019] Setting multiple influencing factors that affect the vehicle positioning test process, the multiple influencing factors include equipment startup factors, positioning accuracy factors, sensitivity test factors, meteorological climate factors and space environment factors;

[0020] According to the multivariate influencing factor types, corresponding influencing factor arrays are respectively set, wherein the influencing factor arrays include influencing factors corresponding to the corresponding multivariate influencing factor types;

[0021] A test planning decision chain is set, in which decision nodes are respectively set according to corresponding influencing factor arrays, and corresponding influencing factors in the corresponding influencing factor arrays are extracted and combined in turn according to corresponding decision nodes to obtain a test planning decision chain corresponding to the corresponding combination result.

[0022] Furthermore, the process of collecting positioning test data includes:

[0023] Obtain each set test planning decision chain, perform variable planning according to the influencing factors corresponding to the corresponding decision nodes in the test planning decision chain, wherein the variable planning data is to adjust the test parameters of the corresponding influencing factors in the decision nodes in sequence, and obtain the corresponding test planning table;

[0024] Set up a test plan according to the obtained test planning table, and customize the meteorological climate test plan and the space environment test plan according to the test parameters corresponding to the corresponding influencing factors in the test planning table;

[0025] Obtain the positioning device information corresponding to the corresponding vehicles in the rescue convoy, and use the corresponding positioning device information to obtain the positioning test data corresponding to the test parameters corresponding to the corresponding influencing factors in the test planning table according to the meteorological climate test plan and the space environment test plan.

[0026] Furthermore, the process of obtaining the parameters affecting the positioning performance includes:

[0027] Obtain each test planning decision chain corresponding to the rescue team, and perform performance parameter analysis based on the positioning test data corresponding to the corresponding test planning table in the test planning decision chain;

[0028] Perform variable isolation according to the test parameters corresponding to the corresponding influencing factors in the test planning table, obtain the corresponding positioning test data in the corresponding test planning table according to the variable isolation, analyze and process the corresponding positioning test data based on the "China Precision" satellite-based augmentation service system, obtain the positioning error data corresponding to the corresponding positioning test data, and set the scatter image of the influencing factors corresponding to the corresponding variable isolation on the positioning error data according to the obtained positioning error data;

[0029] Perform quantitative analysis on the obtained scattered point images, and obtain the positioning performance influencing parameters corresponding to the corresponding influencing factors under the corresponding test parameters according to the quantitative analysis results;

[0030] The scattered point images and corresponding positioning performance influencing parameters obtained through variable isolation of each test planning table are integrated and marked, and the integrated marking results are sent to the positioning correction module.

[0031] Furthermore, the process of obtaining weight data of each positioning performance influencing parameter includes:

[0032] Obtain the positioning performance influencing parameters corresponding to the corresponding vehicles in the rescue team in the test planning table; cross-extract the positioning test data corresponding to different influencing factors in the corresponding test planning table, set the corresponding weight analysis data set according to the obtained positioning test data, analyze and process the quantitative test data in the corresponding weight analysis data set, and obtain the corresponding positioning error data;

[0033] According to the weight analysis data set, the positioning error data corresponding to the corresponding set elements are set in sequence, the positioning performance influencing parameters corresponding to the test parameter change data corresponding to adjacent set elements are obtained, and the positioning performance influencing parameters corresponding to the corresponding influencing factors are subjected to feature splitting processing in sequence, and the gain factor data of the positioning performance influencing parameters corresponding to the corresponding influencing factors on the positioning error data are obtained, and the obtained gain factor data are accumulated to obtain the cumulative gain corresponding to the positioning performance influencing parameters corresponding to the corresponding influencing factors, and the corresponding weight coefficient is obtained according to the corresponding cumulative gain;

[0034] Perform positioning correction processing on the corresponding influencing factors according to the corresponding weight data to obtain accurate positioning information.

[0035] Furthermore, the process of generating collaborative verification information includes:

[0036] Obtain the positioning test data corresponding to the same influencing factors of the corresponding vehicles in the rescue team, analyze and process the obtained positioning test data, and obtain the corresponding precise positioning information;

[0037] Obtain the relative position information of the corresponding vehicles in the rescue convoy, conduct collaborative verification analysis based on the relative position information and precise positioning information of the rescue vehicles, and determine whether the positioning performance influencing parameters of the corresponding influencing factors in the test planning decision chain corresponding to the corresponding vehicles are accurate based on the collaborative verification analysis results;

[0038] If the relative position information and precise positioning information of the rescue vehicle are inaccurate, collaborative verification information is generated, which is a warning information of collaborative errors between corresponding vehicles in the rescue team. The generated collaborative verification information is fed back to the test analysis module and the positioning correction module.

[0039] Furthermore, a Beidou satellite-based vehicle precise positioning correction method comprises the following steps:

[0040] Step 1: Obtain basic vehicle information and positioning device information of the corresponding vehicle in the rescue team;

[0041] Step 2: Set a test planning decision chain according to the multiple influencing factors corresponding to the corresponding vehicle, and collect corresponding positioning test data according to the test planning decision chain based on the positioning device information;

[0042] Step 3: Analyze the positioning test data obtained under the influence of multiple influencing factors in the test planning decision chain to obtain the corresponding positioning performance influencing parameters;

[0043] Step 4: Perform weight analysis based on the positioning performance influencing parameters corresponding to the vehicle basic information, obtain weight data of each positioning performance influencing parameter, perform positioning correction processing based on the corresponding weight data, and obtain accurate positioning information;

[0044] Step 5: Perform relative position analysis on the precise positioning information corresponding to each vehicle in the rescue convoy, and perform collaborative verification processing on the precise positioning information of the corresponding vehicles based on the analysis results to generate collaborative verification information.

[0045] The present invention has the following beneficial effects:

[0046] 1. In the present invention, a test planning decision chain is set, corresponding decision nodes are set in the test planning decision chain, corresponding types of influencing factors are obtained through the decision nodes, and the positioning test process of corresponding vehicles in the rescue team is planned and processed according to the combination results corresponding to the corresponding influencing factors extracted from the decision nodes. A corresponding test planning table is generated according to the planning processing results. The process of obtaining positioning test data for the vehicle according to the test planning table is clearer, thereby improving the efficiency of the vehicle positioning test process to a certain extent.

[0047] 2. In the present invention, variables are isolated for the obtained positioning test data according to corresponding test parameters, positioning performance influencing parameters corresponding to corresponding influencing factors are obtained through variable isolation analysis results, the influence of corresponding influencing factors on the positioning test process is obtained through positioning performance influencing parameters, and weight analysis is performed on the positioning performance influencing parameters corresponding to corresponding influencing factors by constructing corresponding weight analysis data sets. The influence degrees of different influencing factors on the positioning test data are integrated according to the weight analysis results, and correction processing is performed on the vehicle positioning process according to the corresponding influence degrees, thereby improving the accuracy of the precise positioning process and providing a processing basis.

[0048] 3. In the present invention, by analyzing and processing the precise positioning information corresponding to the same influencing factors of the corresponding vehicles in the rescue convoy and the relative position information corresponding to different vehicles, it is determined whether there is an abnormality in the positioning test and analysis process of the corresponding vehicles in the corresponding rescue convoy. While improving the accuracy of the vehicle's precise positioning correction process, the coordination of each vehicle in the rescue convoy is also improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a structural schematic diagram of a vehicle precise positioning correction system based on Beidou satellites of the present invention;

[0050] Figure 2 It is a structural schematic diagram of a vehicle precise positioning correction method based on Beidou satellite in the present invention. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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.

[0052] Embodiment 1

[0053] like Figure 1 As shown, a vehicle precise positioning and correction system based on Beidou satellite proposed by the present invention includes a vehicle precise positioning and correction platform, wherein the vehicle precise positioning and correction platform includes a vehicle input module, a test collection module, a test analysis module, a positioning correction module and a rescue management module;

[0054] In this embodiment, the vehicle precise positioning correction platform is used to test and analyze the performance parameters of various special vehicles such as ambulances, operating vehicles, laboratory vehicles, x-ray imaging vehicles, water, electricity and oil vehicles, life support vehicles, camping vehicles and command vehicles included in the emergency medical rescue team under various meteorological and climatic conditions and various spatial environmental conditions, and to perform personalized precise positioning correction on the corresponding vehicles according to the test and analysis results, thereby improving the accuracy of the vehicle in the positioning process to a certain extent, and then improving the rescue efficiency in the rescue process. The specific implementation process includes:

[0055] The vehicle input module is used to obtain the basic vehicle information and positioning device information of the corresponding vehicle in the rescue team, and its specific implementation process includes:

[0056] Set up information entry window and information retrieval window;

[0057] Enter the rescue team information corresponding to the corresponding rescue team through the information entry window, the rescue team information includes the corresponding vehicle model data, vehicle function data, vehicle quantity, personnel configuration information and rescue qualification information;

[0058] Verify the rescue team information obtained, and obtain the corresponding vehicle model data in the rescue team information according to the verification result;

[0059] Input the obtained vehicle model data into the information retrieval window to perform vehicle information retrieval, the information retrieval window is connected with the corresponding e-government platform and the vehicle management system, and the vehicle basic information of the corresponding vehicle in the e-government platform and the vehicle management system is obtained according to the corresponding vehicle model data, the vehicle basic information is the detailed registration information of the corresponding vehicle, including vehicle brand information, vehicle model information, frame number information, engine number information, vehicle owner information, usage nature, vehicle filing registration information and other information;

[0060] Mark the corresponding data information in the rescue team information according to the basic information of the vehicle;

[0061] Obtain corresponding positioning device information according to the marking processing result;

[0062] The obtained positioning device information is input into the information retrieval window for positioning device retrieval, wherein the information retrieval window includes components corresponding to different positioning devices, service provider platforms and communication operators, wherein:

[0063] The components corresponding to the positioning device include corresponding satellite signal receivers, data processors, wireless communication chips, power management chips and other auxiliary components;

[0064] The service provider platform is the corresponding Beidou satellite positioning technology;

[0065] The obtained basic vehicle information and positioning equipment information are marked and stored with the corresponding rescue team information, and sent to the test acquisition module according to the marked storage results.

[0066] The test collection module is used to collect positioning test data corresponding to multiple influencing factors according to the positioning device information corresponding to the corresponding vehicle, and mark each positioning test data. The specific implementation process includes:

[0067] Set up a test planning unit and a test acquisition unit;

[0068] The test planning unit sets the multi-factor influencing factor information corresponding to the positioning device information corresponding to the corresponding vehicle, and performs planning processing on the process of collecting positioning test data of the corresponding positioning device information through the set multi-factor influencing factor information. The specific implementation process includes:

[0069] The multiple influencing factors include equipment startup factors, positioning accuracy factors, sensitivity test factors, meteorological and climate influencing factors, and space environment influencing factors, among which:

[0070] Equipment startup factors include three types: cold startup time influencing factors, hot startup time influencing factors, and warm startup time influencing factors;

[0071] Positioning accuracy factors include static positioning influencing factors, mobile positioning influencing factors, and sensitivity test factors include capture signal sensitivity and tracking signal sensitivity;

[0072] Meteorological and climate factors include sunny days, cloudy days, rainy days, daytime and nighttime;

[0073] The spatial environmental factors include open areas, urban roads, forest roads, mountain roads, around high-rise buildings, and around mid-rise buildings;

[0074] Planning and processing the multi-factor influencing factor information, and setting corresponding influencing factor arrays according to the equipment startup factors, positioning accuracy factors, sensitivity test factors, meteorological climate influencing factors, and space environment influencing factors corresponding to the multi-factor influencing factor information, respectively, wherein the influencing factor arrays are used to store the corresponding types of multi-factor influencing factors;

[0075] Setting a test planning decision chain, wherein decision nodes are set in the test planning decision chain according to an influencing factor array corresponding to a corresponding type of multivariate influencing factor;

[0076] According to the corresponding decision nodes, the corresponding influencing factors in the corresponding influencing factor array are extracted and combined in turn, and the test planning decision chains corresponding to the corresponding combination results are obtained respectively;

[0077] Perform variable planning for the corresponding influencing factor combinations in the obtained test planning decision chain, and set the corresponding variable planning methods in each decision node respectively;

[0078] Performing analysis and processing according to the variable planning method in the corresponding test planning decision chain, wherein the variable planning method performs traversal decision making for the influencing factors corresponding to each decision node, so that the corresponding test planning decision chain performs analysis and processing, and obtains variable planning data corresponding to the corresponding decision node in the corresponding test planning decision chain, wherein the variable planning data includes test parameters of the corresponding influencing factors, and obtains the test planning table corresponding to the corresponding test planning decision chain according to the corresponding variable planning data;

[0079] Obtain the test planning tables corresponding to each test planning decision chain respectively, and send the obtained test planning tables to the test acquisition unit;

[0080] The test acquisition unit is used to obtain the test planning table corresponding to the corresponding test planning decision chain, set the corresponding test plan according to the test parameters of the corresponding influencing factors in the test planning table, and obtain the corresponding positioning test data according to the test plan;

[0081] Obtain the test parameters corresponding to the corresponding influencing factors in the corresponding test plan table, and customize the meteorological climate test plan and the space environment test plan according to the corresponding test parameters;

[0082] The meteorological and climate test plan is to conduct quantitative analysis and testing on the performance of positioning equipment under different climatic and meteorological conditions based on the weekly weather forecast;

[0083] The space environment test plan is to conduct quantitative analysis and testing on the performance of positioning equipment in different space environments;

[0084] According to the test parameters of the influencing factors corresponding to the meteorological climate test plan and the space environment test plan, obtain the test parameters of other influencing factors in the corresponding test planning table;

[0085] The test parameters corresponding to other influencing factors are marked in turn, and the corresponding positioning equipment information obtains the positioning test data of the corresponding vehicle in turn for the test parameters corresponding to the corresponding test planning table according to the meteorological climate test plan and the space environment test plan;

[0086] Marking the acquired positioning test data and sending it to the test analysis module;

[0087] It should be further explained that, in the specific implementation process, during the process of testing and collecting the positioning device information in the corresponding vehicle, each vehicle in the corresponding rescue team is tested simultaneously, and the marking processing result of the positioning test data includes not only the corresponding test parameters, but also the relative position information in the corresponding rescue team;

[0088] In addition, the positioning test data includes corresponding location information data, positioning accuracy data, satellite signal data, time-related data and dynamic performance data.

[0089] The test analysis module is used to perform data analysis on the positioning test data obtained under the influence of multiple influencing factors, obtain corresponding positioning performance influencing parameters, and mark and store the obtained positioning performance influencing parameters. The specific implementation process includes:

[0090] The positioning test data of the rescue team corresponding to the test planning table corresponding to each test planning decision chain is analyzed and processed. The specific implementation process includes:

[0091] Obtain each test planning decision chain corresponding to the multivariate influencing factor data, and perform performance parameter analysis based on the positioning test data corresponding to the corresponding test planning table in the test planning decision chain;

[0092] Isolate the variables of the test parameters corresponding to the corresponding influencing factors in the test planning table, consider only one influencing factor at a time, and keep other influencing factors relatively stable;

[0093] Obtain the positioning test data corresponding to the influencing factors for variable isolation in the test planning table, analyze and process the corresponding positioning test data based on the "China Precision" satellite-based augmentation service system, and obtain the positioning error data corresponding to the corresponding positioning test data;

[0094] According to the obtained positioning error data, a scatter image of the positioning error data corresponding to the influencing factors of the corresponding variable isolation is set with respect to the positioning test data, with the influencing factors corresponding to the variable isolation as the horizontal axis and the positioning error data as the vertical axis, to obtain the corresponding scatter image;

[0095] The obtained scattered point image is quantitatively analyzed, and the specific implementation process includes:

[0096] The horizontal axis corresponding to the corresponding influencing factors in the scatter image is marked as X, and the vertical axis corresponding to the positioning error data is marked as Y. The influencing factors and positioning error data are sorted respectively, and the corresponding ranks R(X) and R(Y) are obtained according to the sorting results; the corresponding rank difference d is obtained. i ;

[0097] d i =R(Xi )-R(Y i );

[0098] The positioning performance influencing parameter corresponding to the corresponding scatter image is obtained according to the corresponding rank difference, and the positioning performance influencing parameter is marked as R ys ,in:

[0099] Where n is the number of corresponding scattered points in the corresponding scattered point image;

[0100] The scattered point images and corresponding positioning performance influencing parameters obtained through variable isolation of each test planning table are integrated and marked to generate a positioning performance influencing data packet, and the corresponding positioning performance influencing data packet is sent to the positioning correction module.

[0101] The positioning correction module is used to perform weight analysis according to the positioning performance influencing parameters corresponding to the vehicle basic information, obtain weight data of each positioning performance influencing parameter, perform positioning correction processing according to the corresponding weight data, and obtain accurate positioning information. The specific implementation process includes:

[0102] Obtain each positioning performance data packet and the positioning test data corresponding to the corresponding test planning table, analyze and process the corresponding integrated marking results in each positioning performance data packet and the corresponding positioning test data in the test planning table, and obtain the weight data corresponding to the positioning performance influencing parameters of the corresponding vehicle;

[0103] Analyze and process the positioning performance data packets obtained in each test planning decision chain respectively;

[0104] Cross-extract the positioning test data corresponding to different influencing factors in the corresponding test planning table, and sequentially set the corresponding weight analysis data sets for the obtained positioning test data, wherein the cross-extraction process is such that the quantitative test parameters of the influencing factors corresponding to each decision node of each positioning test data in the corresponding test planning decision chain are different, and there are cross-intervals;

[0105] According to the cross-extraction results, multiple weight analysis data sets are obtained, and weight analysis is performed on the multiple weight analysis data sets. The specific implementation process includes:

[0106] The quantitative test data in the corresponding weighted analysis data set are analyzed and processed based on the "China Precision" satellite-based augmentation service system to obtain the positioning error data corresponding to the corresponding positioning test data;

[0107] The positioning error data corresponding to the weight analysis data set are sequentially set to corresponding set elements;

[0108] Performing gradient analysis on the positioning error data between the corresponding set elements in the weight analysis data set and the test parameter change data of the corresponding influencing factors in the corresponding test planning table;

[0109] Obtaining positioning performance influencing parameters corresponding to the test parameter change data corresponding to adjacent set elements;

[0110] Perform feature splitting processing on the positioning performance influencing parameters corresponding to the corresponding influencing factors in turn, and obtain gain factor data corresponding to the positioning performance influencing parameters corresponding to the corresponding influencing factors between adjacent set elements to the positioning error data according to the feature splitting processing result;

[0111] The positioning performance influencing parameters corresponding to different influencing factors are cumulatively processed with respect to the gain factor data corresponding to the positioning error data, and the cumulative gain corresponding to the positioning performance influencing parameters corresponding to the corresponding influencing factors is obtained, and the corresponding weight coefficient is obtained according to the corresponding cumulative gain. The specific implementation process includes:

[0112] Assume the corresponding influencing factor is J i , and the corresponding cumulative gains are respectively denoted as G i , i = 1, 2, 3, ..., n, n is the number of influencing factors, and the corresponding weight coefficient is ω i ,in:

[0113]

[0114] Integrate the weight coefficients obtained in different test planning decision chains and store the integrated processing results;

[0115] Obtain the weight data of the positioning performance influencing parameters corresponding to each influencing factor in different test planning decision chains, correct the positioning test data according to the corresponding weight data, and obtain accurate positioning information.

[0116] The rescue management module is used to integrate the precise positioning information corresponding to each vehicle in the rescue team, and perform collaborative verification processing on the precise positioning information of the corresponding vehicles according to the integration result to generate collaborative verification information. The specific implementation process includes:

[0117] Obtain the positioning test parameters corresponding to the same influencing factors of the corresponding vehicles in the rescue team, and obtain the test planning decision chain corresponding to the corresponding vehicles in the rescue team according to the corresponding positioning test parameters;

[0118] Analyze and process the obtained positioning test data according to the positioning performance influencing parameters of the corresponding influencing factors in the corresponding test planning decision chain, and analyze and process the obtained positioning test data according to the weight coefficients corresponding to the positioning performance influencing parameters of the corresponding influencing factors to obtain accurate positioning information;

[0119] Obtain the relative position information of the corresponding vehicles in the rescue convoy, conduct collaborative verification analysis based on the relative position information and precise positioning information of the rescue vehicles, and determine whether the positioning performance influencing parameters of the corresponding influencing factors in the test planning decision chain corresponding to the corresponding vehicles are accurate based on the collaborative verification analysis results;

[0120] If the collaborative verification analysis result is judged to be accurate, the positioning performance influencing parameters and corresponding weight coefficients of the influencing factors corresponding to the corresponding vehicles in the rescue vehicle are stored;

[0121] If the collaborative verification analysis result is judged to be an error, the positioning performance influencing parameters and the corresponding weight coefficients of the influencing factors corresponding to the corresponding vehicles in the rescue vehicle will not be stored, and collaborative verification information will be generated and fed back to the test analysis module and the positioning correction module for re-analysis and processing until the collaborative verification analysis result is judged to be accurate, and the positioning performance influencing parameters and the corresponding weight coefficients of the influencing factors corresponding to the corresponding vehicles in the rescue vehicle will be stored.

[0122] Embodiment 2

[0123] like Figure 2 As shown, based on the first embodiment, a vehicle precise positioning correction method based on Beidou satellite is proposed. In this embodiment, the following steps are included:

[0124] Step 1: Obtain basic vehicle information and positioning device information of the corresponding vehicle in the rescue team;

[0125] Step 2: Set a test planning decision chain according to the multiple influencing factors corresponding to the corresponding vehicle, and collect corresponding positioning test data according to the test planning decision chain based on the positioning device information;

[0126] Step 3: Analyze the positioning test data obtained under the influence of multiple influencing factors in the test planning decision chain to obtain the corresponding positioning performance influencing parameters;

[0127] Step 4: Perform weight analysis based on the positioning performance influencing parameters corresponding to the vehicle basic information, obtain weight data of each positioning performance influencing parameter, perform positioning correction processing based on the corresponding weight data, and obtain accurate positioning information;

[0128] Step 5: Perform relative position analysis on the precise positioning information corresponding to each vehicle in the rescue convoy, and perform collaborative verification processing on the precise positioning information of the corresponding vehicles based on the analysis results to generate collaborative verification information.

[0129] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A vehicle precise positioning and correction system based on Beidou satellite, including a vehicle precise positioning and correction platform, characterized in that: The vehicle precise positioning and correction platform includes a vehicle input module, a test collection module, a test analysis module, a positioning and correction module, and a rescue management module; The vehicle entry module is used to obtain basic vehicle information and positioning device information of corresponding vehicles in the rescue team; The test acquisition module is used to set a test planning decision chain according to the multiple influencing factors corresponding to the vehicle, and collect corresponding positioning test data according to the test planning decision chain based on the positioning device information; The test analysis module is used to perform data analysis on the positioning test data obtained under the influence of multiple influencing factors to obtain corresponding positioning performance influencing parameters; The positioning correction module is used to perform weight analysis according to the positioning performance influencing parameters corresponding to the vehicle basic information, obtain weight data of each positioning performance influencing parameter, perform positioning correction processing according to the corresponding weight data, and obtain accurate positioning information; The rescue management module is used to integrate the precise positioning information corresponding to each vehicle in the rescue team, and to perform collaborative verification processing on the precise positioning information of the corresponding vehicles according to the integration result to generate collaborative verification information.

2. The vehicle precise positioning correction system based on Beidou satellite according to claim 1 is characterized in that: The process of obtaining basic vehicle information and positioning device information includes: Set up information entry window and information retrieval window; Obtain the corresponding rescue team information through the information input window, verify and analyze the obtained rescue team information, and obtain the corresponding vehicle model data in the rescue team information according to the verification processing result; The obtained vehicle model data is input into the information retrieval window, and the vehicle basic information and positioning device information corresponding to the corresponding vehicle are obtained through the information retrieval window.

3. The vehicle precise positioning correction system based on Beidou satellite according to claim 2 is characterized in that: The process of setting up a test planning decision chain includes: Setting multiple influencing factors that affect the vehicle positioning test process, the multiple influencing factors include equipment startup factors, positioning accuracy factors, sensitivity test factors, meteorological climate factors and space environment factors; According to the multivariate influencing factor types, corresponding influencing factor arrays are respectively set, wherein the influencing factor arrays include influencing factors corresponding to the corresponding multivariate influencing factor types; A test planning decision chain is set, in which decision nodes are respectively set according to corresponding influencing factor arrays, and corresponding influencing factors in the corresponding influencing factor arrays are extracted and combined in turn according to corresponding decision nodes to obtain a test planning decision chain corresponding to the corresponding combination result.

4. The vehicle precise positioning correction system based on Beidou satellite according to claim 3 is characterized in that: The process of collecting positioning test data includes: Obtain each set test planning decision chain, perform variable planning according to the influencing factors corresponding to the corresponding decision nodes in the test planning decision chain, wherein the variable planning data is to adjust the test parameters of the corresponding influencing factors in the decision nodes in sequence, and obtain the test planning table; Set up a test plan according to the obtained test planning table, and customize the meteorological climate test plan and the space environment test plan according to the test parameters corresponding to the corresponding influencing factors in the test planning table; Obtain the positioning device information corresponding to the corresponding vehicles in the rescue convoy, and use the corresponding positioning device information to obtain the positioning test data under the test parameters corresponding to the corresponding influencing factors in the test planning table according to the meteorological climate test plan and the space environment test plan.

5. The vehicle precise positioning correction system based on Beidou satellite according to claim 4 is characterized in that: The process of obtaining the parameters affecting positioning performance includes: Obtain each test planning decision chain corresponding to the rescue team, and perform performance parameter analysis based on the positioning test data corresponding to the corresponding test planning table in the test planning decision chain; Perform variable isolation according to the test parameters corresponding to the corresponding influencing factors in the test planning table, obtain the corresponding positioning test data in the corresponding test planning table according to the variable isolation, analyze and process the corresponding positioning test data based on the "China Precision" satellite-based augmentation service system, obtain the positioning error data corresponding to the corresponding positioning test data, and set the scatter image of the influencing factors corresponding to the corresponding variable isolation on the positioning error data according to the obtained positioning error data; Perform quantitative analysis on the obtained scattered point images, and obtain the positioning performance influencing parameters corresponding to the corresponding influencing factors under the corresponding test parameters according to the quantitative analysis results; The scattered point images and corresponding positioning performance influencing parameters obtained through variable isolation of each test planning table are integrated and marked, and the integrated marking results are sent to the positioning correction module.

6. The vehicle precise positioning correction system based on Beidou satellite according to claim 5 is characterized in that: The process of obtaining the weight data of each positioning performance influencing parameter includes: Obtain the positioning performance influencing parameters corresponding to the corresponding vehicles in the rescue team in the test planning table, cross-extract the positioning test data corresponding to different influencing factors in the corresponding test planning table, set the weight analysis data set according to the obtained positioning test data, analyze and process the quantitative test data in the corresponding weight analysis data set respectively, and obtain the corresponding positioning error data; According to the weight analysis data set, the positioning error data corresponding to the corresponding set elements are set in sequence, the positioning performance influencing parameters corresponding to the test parameter change process between adjacent set elements are obtained, the positioning performance influencing parameters corresponding to the corresponding influencing factors are subjected to feature splitting processing in sequence, and the gain factor data of the positioning performance influencing parameters corresponding to the corresponding influencing factors on the positioning error data are obtained, and the obtained gain factor data are accumulated to obtain the cumulative gain corresponding to the positioning performance influencing parameters corresponding to the corresponding influencing factors, and the corresponding weight coefficient is obtained according to the corresponding cumulative gain; Perform positioning correction processing on the corresponding influencing factors according to the corresponding weight data to obtain accurate positioning information.

7. The vehicle precise positioning correction system based on Beidou satellite according to claim 6 is characterized in that: The process of generating collaborative verification information includes: Obtain the positioning test data corresponding to the same influencing factors of the corresponding vehicles in the rescue team, analyze and process the obtained positioning test data, and obtain the corresponding precise positioning information; Obtain the relative position information of the corresponding vehicles in the rescue convoy, conduct collaborative verification analysis based on the relative position information and precise positioning information of the rescue vehicles, and determine whether the positioning performance influencing parameters of the corresponding influencing factors in the test planning decision chain corresponding to the corresponding vehicles are accurate based on the collaborative verification analysis results; If the relative position information and precise positioning information of the rescue vehicle are inaccurate, collaborative verification information is generated, which is a warning information of collaborative errors between corresponding vehicles in the rescue team. The generated collaborative verification information is fed back to the test analysis module and the positioning correction module.

8. A Beidou satellite-based vehicle precise positioning correction method corresponding to a Beidou satellite-based vehicle precise positioning correction system according to any one of claims 1 to 7, characterized in that: The following steps are involved: Step 1: Obtain basic vehicle information and positioning device information of the corresponding vehicle in the rescue team; Step 2: Set a test planning decision chain according to the multiple influencing factors corresponding to the corresponding vehicle, and collect corresponding positioning test data according to the test planning decision chain based on the positioning device information; Step 3: Analyze the positioning test data obtained under the influence of multiple influencing factors in the test planning decision chain to obtain the corresponding positioning performance influencing parameters; Step 4: Perform weight analysis based on the positioning performance influencing parameters corresponding to the vehicle basic information, obtain weight data of each positioning performance influencing parameter, perform positioning correction processing based on the corresponding weight data, and obtain accurate positioning information; Step 5: Perform relative position analysis on the precise positioning information corresponding to each vehicle in the rescue convoy, and perform collaborative verification processing on the precise positioning information of the corresponding vehicles based on the analysis results to generate collaborative verification information.

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