Fast positioning method and system supported by satellite navigation information

Abstract

The present invention discloses a rapid positioning method and system supported by satellite navigation information, belonging to the field of positioning technology. The method includes: Step 1: Mark the target area and establish a regional information feature map according to the target area; Step 2: Identify the navigation route, obtain the environmental change data on the navigation route in real time, and update the regional information feature map in real time according to the environmental change data; Step 3: Determine the positioning target, mark the position of the positioning target in the regional information feature map in real time, and determine the evaluation section according to the positioning target position; Step 4: Determine the positioning satellites paired and applied by the positioning target on the evaluation section according to the evaluation section; perform pairing processing according to the determined positioning satellites and receive the positioning analysis data of the positioning satellites; Step 5: Locate the positioning target according to the obtained positioning analysis data; by establishing a regional information feature map, dynamic analysis of the environmental conditions within the target area is realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of positioning, and specifically relates to a rapid positioning method and system supported by satellite navigation information. Background Art

[0002] With the rapid development of modern technology, positioning technology plays a crucial role in many fields such as daily life, transportation, and military defense. Traditional positioning methods, such as positioning based on ground signal towers, are limited by factors such as geographical coverage, signal stability, and positioning accuracy, and are difficult to meet the needs of modern society.

[0003] Currently, multiple satellite navigation systems have been established globally, such as the Global Positioning System (GPS) of the United States, the GLONASS satellite navigation system of Russia, the Galileo satellite navigation system of the European Union, and the Beidou satellite navigation system (BDS) of China. These satellite navigation systems achieve precise positioning globally by sending radio signals to ground users. The wide application of satellite navigation technology has greatly promoted the innovation and development of positioning technology.

[0004] However, although existing satellite navigation systems already have high positioning accuracy and coverage, in some specific scenarios, such as areas with severe signal blockage like cities, canyons, tunnels, and basements, the reception quality of satellite signals will be severely affected, resulting in a decline in positioning accuracy or even inability to position. In addition, existing rapid positioning systems often have problems such as slow response speed and unstable positioning accuracy when processing a large number of positioning requests, and are difficult to meet the real-time and high-precision positioning requirements.

[0005] Based on this, the present invention provides a rapid positioning method and system supported by satellite navigation information. Summary of the Invention

[0006] To solve the problems existing in the above solutions, the present invention provides a rapid positioning method and system supported by satellite navigation information.

[0007] The object of the present invention can be achieved by the following technical solutions:

[0008] A rapid positioning method supported by satellite navigation information, the method comprising:

[0009] Step 1: Mark the target area and establish a regional information feature map according to the target area;

[0010] Further, the method for establishing the regional information feature map includes:

[0011] Obtain each environmental factor; set corresponding factor items according to each environmental factor; integrate each factor item to establish a corresponding factor template;

[0012] Obtain target area information, process the target area information through a factor template, and obtain factor feature data corresponding to each position in the target area;

[0013] Obtain the area map corresponding to the target area; generate a corresponding image plane according to the factor feature data and the area map corresponding to each position in the target area; perform a combined analysis on each position in the image plane to obtain each feature area and the area feature data corresponding to each feature area; mark the obtained feature areas and the corresponding area feature data in the area map; mark the current area map as the area information feature map.

[0014] Furthermore, the method for performing a combined analysis on each position in the image plane includes:

[0015] Step SA1: Identify each candidate satellite, obtain the historical positioning data of each candidate satellite, and determine the positioning accuracy and response time of each candidate satellite under different factor feature data according to the obtained historical positioning data; determine the equivalent range of different factor feature data according to the positioning accuracy and response time; identify the factor feature data corresponding to each position in the image plane, and integrate the adjacent positions with the same factor feature data into a unit area;

[0016] Step SA2: Arbitrarily select a unit area as the initial area, identify each unit area adjacent to the initial area, mark the factor feature data of the adjacent unit areas as comparison data, and match the corresponding equivalent range according to the factor feature data of the initial area and the comparison data;

[0017] Step SA3: Perform a combined judgment on the factor feature data and the comparison data according to the equivalent range; when the judgment meets the combined requirements, merge the corresponding adjacent initial area and unit area to obtain a merged area, and determine the merged area feature data of the merged area; when the judgment does not meet the combined requirements, do not merge, and make corresponding marks, and return to Step SA2;

[0018] Step SA4: Determine the merge target adjacent to the merged area, and determine the corresponding factor feature data and comparison data according to the merged area and the merge target; match the corresponding equivalent range according to the factor feature data and the comparison data;

[0019] Step SA4: Perform a combined judgment on the factor feature data and the comparison data according to the equivalent range; when the judgment meets the combined requirements, merge the merged area and the merge target to obtain a new merged area, and determine the merged area feature data of the new merged area; when the judgment does not meet the combined requirements, do not merge, and make corresponding marks, and return to Step SA2;

[0020] Step SA5: Loop step SA4 until none of the remaining adjacent cell regions or merged regions meet the merging requirements; mark the remaining merged regions and cell regions as feature regions.

[0021] Step Two: Identify the navigation route, obtain real-time environmental change data on the navigation route, and update the regional information feature map in real time according to the environmental change data;

[0022] Step Three: Determine the positioning target, mark the position of the positioning target in the regional information feature map in real time, and determine the evaluation section according to the position of the positioning target;

[0023] Step Four: Determine the positioning satellites paired and applied by the positioning target on the evaluation section according to the evaluation section; perform pairing processing according to the determined positioning satellites, and receive the positioning analysis data of the positioning satellites;

[0024] Further, the method for determining the positioning satellites paired and applied by the positioning target on the evaluation section includes:

[0025] Determine each candidate satellite according to the positioning target; identify each feature region corresponding to the evaluation section and mark it as the evaluation region; obtain the regional feature data corresponding to the evaluation region, and evaluate the candidate satellites according to the obtained regional feature data to obtain the data of each evaluation item corresponding to the candidate satellites;

[0026] Compare the data of each evaluation item corresponding to each candidate satellite to determine the positioning satellites paired and applied.

[0027] Further, the method for comparing the data of each evaluation item corresponding to each candidate satellite includes:

[0028] Step SC1: Combine each candidate satellite in pairs to obtain a number of first combinations;

[0029] Step SC2: Identify the data of each evaluation item corresponding to the two candidate satellites in each first combination and mark it as single-item data; compare the single-item data to determine the corresponding single optimization value;

[0030] Match the corresponding weight coefficient according to the evaluation item corresponding to the single-item data;

[0031] Step SC3: Mark the evaluation item as i, i = 1, 2,..., n, n is a positive integer; mark the obtained weight coefficient and single optimization value as ηi and DYi respectively;

[0032] According to the formula Calculate the corresponding comparison value;

[0033] In the formula: PU is the comparison value;

[0034] According to whether the comparison value is greater than 1, the two candidate satellites in the first combination are respectively marked as the priority satellite and the lagging satellite;

[0035] Step SC4: Identify the comparison value corresponding to each first combination, eliminate the lagging satellites in each first combination according to the comparison value, and eliminate the candidate satellites of each lagging satellite to determine the positioning satellites for paired application.

[0036] Furthermore, the method for paired processing according to the determined positioning satellites includes:

[0037] Mark the positioning satellite currently paired with the positioning target as the first satellite, mark each positioning satellite corresponding to the evaluation segment as the second satellite, compare the first satellite and the second satellite to determine the pairing change point; perform paired preprocessing according to the second satellite and the pairing change point; when the positioning target reaches the pairing change point, pair with the second satellite;

[0038] When there is no pairing change point on the evaluation segment, no corresponding operation is performed.

[0039] Step Five: Locate the positioning target according to the obtained positioning analysis data.

[0040] A fast positioning system supported by satellite navigation information includes: an information map module and a target analysis module;

[0041] The information map module is used to establish a regional information feature map, identify the navigation route, obtain the environmental change data on the navigation route in real time, and update the regional information feature map in real time according to the environmental change data.

[0042] The target analysis module is used to perform positioning analysis, determine the positioning target, mark the position of the positioning target in the regional information feature map in real time, determine the evaluation segment according to the position of the positioning target; determine the positioning satellites for paired application of the positioning target on the evaluation segment according to the evaluation segment; perform paired processing according to the determined positioning satellites, and receive the positioning analysis data of the positioning satellites; locate the positioning target according to the obtained positioning analysis data.

[0043] Compared with the prior art, the beneficial effects of the present invention are:

[0044] Through the present invention, real-time position, speed and time information are provided for users, which enables the fast positioning system to quickly respond to the needs of users, update the position information in real time, and provide continuous and stable positioning services for users. By establishing a regional information feature map, dynamic analysis of the environmental conditions in the target area is realized, different feature areas are divided according to the positioning influence conditions, which is convenient for quickly understanding the positioning environment conditions of the subsequent navigation journey during the positioning process, and then making positioning adjustments in a timely manner; fast and high-precision positioning is realized. Description of the Drawings

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

[0046] Figure 1 This is the flowchart of the method of the present invention. Specific embodiments

[0047] The following will clearly and completely describe the technical solutions of the present invention in combination with the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0048] As Figure 1 shown, a rapid positioning method supported by satellite navigation information, the method includes:

[0049] Step 1: The platform party marks the target area, where the target area refers to the geographical area for positioning services; establish a corresponding area information feature map according to the target area, and update the area information feature map accordingly according to the update of relevant information in the target area;

[0050] The method for establishing a corresponding area information feature map according to the target area includes:

[0051] Obtain various environmental factors that have an impact on satellite positioning, such as the corresponding impact factors of weather, city, canyon, tunnel, etc.; set corresponding factor items according to each environmental factor; integrate each factor item to establish a corresponding factor template;

[0052] Obtain the target area information, such as the geographical, environmental and other information of each position in the target area; process the target area information through the factor template to obtain the corresponding factor feature data of each position in the target area, and the factor feature data is composed of combining the corresponding factor item data extracted from the target area information of the corresponding position according to each factor item;

[0053] Obtain the area map corresponding to the target area; generate a corresponding image plane according to the corresponding factor feature data of each position in the target area and the area map; the image plane is related to the area Figure 1A map that is in one-to-one correspondence but has corresponding factor feature data inserted at each position; perform a combined analysis on each position in the image plane to obtain each feature region and the regional feature data corresponding to each feature region; mark the obtained feature regions and corresponding regional feature data correspondingly in the regional map. Mark the current regional map as a regional information feature map.

[0054] The method for performing a combined analysis on each position in the image plane includes:

[0055] Step SA1: Mark the satellite information that can be selected subsequently as candidate satellites, such as GPS, Beidou Navigation, etc.; obtain the historical positioning data of each candidate satellite, and determine the positioning accuracy and response time of each candidate satellite under different factor feature data according to the obtained historical positioning data; determine the equivalent range of different factor feature data according to the principle of consistency of positioning accuracy and response time. The equivalent range is the factor feature data within this equivalent range, and has the same impact on the positioning of each candidate satellite; select according to the lowest range. For example, they are [1, 2], [1, 3], [1, 2.1] respectively. To ensure consistency, [1, 2] needs to be selected; identify the factor feature data corresponding to each position, and integrate the unit regions of adjacent positions with the same factor feature data.

[0056] Step SA2: Arbitrarily select a unit region as the initial region, identify each unit region adjacent to the initial region, mark the factor feature data of the adjacent unit regions as comparison data, and match the corresponding equivalent range according to the factor feature data of the initial region and the comparison data.

[0057] Step SA3: Perform a combined judgment on the factor feature data and the comparison data according to the equivalent range; that is, judge whether the difference between the factor feature data and the comparison data is within the equivalent range. If it is, judge that it meets the combined requirement, otherwise it does not meet the combined requirement; when it is judged that it meets the combined requirement, merge the corresponding adjacent initial region and unit region to obtain a merged region, and integrate the factor feature data at the corresponding positions of the merged region into the merged region feature data; when it is judged that it does not meet the combined requirement, do not merge and make corresponding marks, that is, do not perform the combined analysis of the two subsequently, and return to Step SA2.

[0058] Step SA4: Determine the merging target adjacent to the merged region, which can be a unit region or a merged region. Determine the corresponding factor feature data and comparison data according to the merged region and the merging target, referring to the two factor feature data with the largest difference corresponding to the merged region and the merging target; match the corresponding equivalent range according to the factor feature data and the comparison data.

[0059] Step SA4: Combine and judge the factor feature data and comparison data according to the equivalent range; when the judgment meets the combination requirements, combine the combined area and the combination target to obtain a new combined area, and integrate the factor feature data at the corresponding positions of the new combined area into the combined area feature data; when the judgment does not meet the combination requirements, do not combine, make corresponding marks, and return to step SA2;

[0060] Step SA5: Loop step SA4 until all do not meet the combination requirements; mark the remaining combined areas and unit areas as feature areas. Identify the area feature data corresponding to the feature area, that is, the combined area feature data of the corresponding combined area or the factor feature data of the unit area.

[0061] By establishing a regional information feature map, dynamic analysis of the environmental conditions in the target area is realized. Different feature areas are divided according to the positioning influence situation, which is convenient for quickly understanding the positioning environment of the subsequent navigation journey during the positioning process, and then making positioning adjustments in a timely manner; fast and high-precision positioning is achieved.

[0062] Step Two: Obtain the navigation route and obtain the environmental change data on the navigation route in real time. Since certain factor items will be affected due to reasons such as weather changes, it is necessary to collect relevant data that have an impact and will change in combination with corresponding meteorological data, etc., and mark them as environmental change data; update the regional information feature map in real time according to the obtained environmental change data;

[0063] Step Three: Mark vehicles, mobile devices, etc. that need to be positioned as positioning targets, mark the positions of the positioning targets in the regional information feature map in real time, and determine the evaluation section according to the positioning target positions;

[0064] The evaluation section refers to the road section that can be passed according to the preset time based on the current time, which is mainly used to make preparations in advance for the replacement and adjustment of the subsequent positioning satellites. The preset time is generally within 10 minutes and is determined according to the actual situation. Estimate the road section that the positioning target can travel according to the current vehicle speed, identify the feature area where the end point of this road section is located, mark it as the first end point, and move the first end point to the intersection of this feature area and the navigation route to form the second end point. The navigation route between the current positioning target position and the second end point is the evaluation section; as long as the first end point does not exceed the second end point, the evaluation section remains unchanged, otherwise, it is updated.

[0065] Step Four: Determine the positioning satellites paired and applied by the positioning target on the evaluation section according to the evaluation section; perform pairing processing according to the determined positioning satellites, and receive the positioning analysis data of the positioning satellites; the positioning analysis data is the information about positioning sent by the positioning satellites, such as the position and sending time information of the satellites, etc.;

[0066] A method for determining positioning satellites paired with a positioning target on an evaluation segment includes:

[0067] Determine each positioning satellite that can be paired and applied according to the positioning target, and mark it as a candidate satellite. It needs to be determined according to the actual situation and location situation of the positioning target. Mark the corresponding positioning satellites that the positioning target can search for and lock satellite signals as candidate satellites;

[0068] Identify each characteristic area corresponding to the evaluation segment and mark it as an evaluation area; obtain the regional characteristic data corresponding to the evaluation area, and evaluate each candidate satellite according to the obtained regional characteristic data to obtain evaluation item data such as positioning accuracy and positioning response duration that affect positioning for each candidate satellite. Specifically, each evaluation item is set by the staff, and the weight coefficient corresponding to each evaluation item is set. Subsequently, the user can adjust the evaluation items according to needs, such as deleting evaluation items, and can also adjust the weight coefficients of each evaluation item; analyze each candidate satellite according to the determined evaluation items to determine the evaluation item data of each candidate satellite in the current situation; use the historical positioning data of various positioning satellites available to evaluate and determine its evaluation item data for each evaluation item; for example, a corresponding satellite evaluation model can be established based on neural networks such as CNN network or DNN network, and a corresponding training set is established and trained manually according to historical positioning data. The training set includes input data and output data. The input data includes regional characteristic data and positioning satellite information, and the output data is the evaluation item data for each evaluation item; analyze through the successfully trained satellite evaluation model to obtain the evaluation item data of each candidate satellite.

[0069] Compare the evaluation item data corresponding to each candidate satellite to determine the positioning satellite for paired application.

[0070] The method for comparing the evaluation item data corresponding to each candidate satellite includes:

[0071] Step SC1: Combine each candidate satellite in pairs to obtain a number of first combinations;

[0072] Step SC2: Identify the evaluation item data corresponding to the two candidate satellites in each first combination, and mark them as single item data; that is, the evaluation item data corresponding to the same evaluation item; compare the single item data to determine the corresponding single optimization value; the single optimization value is the corresponding optimization degree. Exemplarily, if the single item data is 3 seconds and 3.2 seconds corresponding to the positioning response duration, then the single optimization value is 3.2 divided by 3, and the single optimization value is equivalent to the proportional optimization degree of the two evaluation item data; specifically, because the types of the evaluation item data are limited, and the evaluation item data that may be available can be determined according to the corresponding historical positioning data; therefore, the evaluation item data that may be available can be pre-compared to determine the corresponding single optimization value, and a corresponding matching table can be integrated and established, and the corresponding matching can be performed later; a corresponding intelligent model can also be established in combination with the above method, and intelligent settings can be performed through the intelligent model.

[0073] Match the corresponding weight coefficient according to the evaluation item corresponding to the single item data.

[0074] Step SC3: Mark the evaluation item as i, where i = 1, 2,..., n, and n is a positive integer; mark the obtained weight coefficient and single optimization value as ηi and DYi respectively.

[0075] According to the formula Calculate the corresponding comparison value.

[0076] In the formula: PU is the comparison value.

[0077] According to whether the comparison value is greater than 1, mark the two candidate satellites in the first combination as the priority satellite and the lagging satellite respectively.

[0078] Step SC4: Identify the comparison values corresponding to each first combination, eliminate the lagging satellites in each first combination according to the comparison values, and eliminate the candidate satellites of each lagging satellite. Because the candidate is a lagging satellite in this first combination, but it may be a priority satellite in other first combinations, so it can be directly eliminated; finally, only one priority satellite will be retained, and the others will be eliminated due to the comparison relationship. If the comparison value is 1 and it is the most priority, choose the one that is convenient for switching and pairing, or randomly select; determine the positioning satellite for pairing application.

[0079] The method for pairing processing according to the determined positioning satellite includes:

[0080] Mark the positioning satellite currently paired with the positioning target as the first satellite, mark each positioning satellite corresponding to the evaluation segment as the second satellite, compare the first satellite and the second satellite to determine the pairing change point, that is, the position where the first satellite and the second satellite are different; perform pairing preprocessing according to the second satellite, because when receiving information by satellite pairing, it may take a long time to search for and lock the satellite signal, which may cause delays. Therefore, preprocessing is required; when the positioning target reaches the pairing change point, pair with the second satellite;

[0081] When there is no pairing change point in the evaluation segment, no corresponding operation is performed.

[0082] Step Five: Locate the positioning target based on the obtained positioning analysis data.

[0083] After obtaining the positioning analysis data, use the existing satellite positioning method for positioning; for example, decode and process the received signal, and calculate the distance between the receiver and the satellite by measuring the signal propagation time (or phase difference). Using the measurement data of at least four satellites and combining the principle of triangulation, the three-dimensional position (longitude, latitude, and altitude) and time information of the receiver can be calculated.

[0084] Through the present invention, real-time position, speed, and time information are provided for users, which enables the fast positioning system to quickly respond to the needs of users, update the position information in real time, and provide continuous and stable positioning services for users.

[0085] A fast positioning system supported by satellite navigation information includes: an information map module and a target analysis module;

[0086] The information map module is used to establish a regional information feature map, identify the navigation route, obtain the environmental change data on the navigation route in real time, and update the regional information feature map in real time according to the environmental change data.

[0087] The target analysis module is used to perform positioning analysis, determine the positioning target, mark the position of the positioning target in the regional information feature map in real time, determine the evaluation segment according to the position of the positioning target; determine the positioning satellite paired and applied by the positioning target on the evaluation segment according to the evaluation segment; perform pairing processing according to the determined positioning satellite, receive the positioning analysis data of the positioning satellite; locate the positioning target based on the obtained positioning analysis data.

[0088] The above formulas are all calculated by removing the dimension and taking their numerical values. The formula is obtained by collecting a large amount of data and performing software simulation to obtain a formula closest to the actual situation. The preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained by simulating a large amount of data.

[0089] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A rapid positioning method supported by satellite navigation information, characterized in that: Methods include: Step 1: Mark the target area, and establish a regional information feature map according to the target area. The regional information feature map is established by merging the equivalent ranges to divide different feature areas. The equivalent range is the factor feature data within the equivalent range, and the positioning influence on each selected satellite is the same; Step 2: Identify the navigation route, obtain environmental change data on the navigation route in real time, and update the regional information feature map in real time according to the environmental change data; Step 3: determine the positioning target, mark the position of the positioning target in real time in the regional information feature map, and determine the evaluation segment according to the positioning target position; Step 4: Determine the positioning satellite to be paired with the positioning target on the evaluation segment according to the evaluation segment; perform pairing processing according to the determined positioning satellite, and receive positioning analysis data from the positioning satellite; Step 5: Locate the target based on the acquired positioning analysis data.

2. The rapid positioning method based on satellite navigation information according to claim 1, characterized in that: The method for establishing the regional information feature map includes: Obtain various environmental factors; set corresponding factor items according to various environmental factors; integrate various factor items and establish corresponding factor templates; Obtain target area information, process the target area information through factor templates, and obtain factor feature data corresponding to each position in the target area; Obtain a regional map corresponding to the target area; generate a corresponding image surface according to the factor feature data corresponding to each position in the target area and the regional map; merge and analyze each position in the image surface to obtain each feature area and the regional feature data corresponding to each feature area; mark each feature area and the corresponding regional feature data obtained in the regional map; mark the current regional map as a regional information feature map.

3. The rapid positioning method supported by satellite navigation information according to claim 2, characterized in that: The method of merging and analyzing each position in the image surface includes: Step SA1: Identify each candidate satellite, obtain the historical positioning data of each candidate satellite, determine the positioning accuracy and response time of each candidate satellite under different factor characteristic data according to the obtained historical positioning data; determine the equivalent range of different factor characteristic data according to the positioning accuracy and response time; identify the factor characteristic data corresponding to each position in the image surface, and integrate each adjacent position with the same factor characteristic data into a unit area; Step SA2: select any unit area as the initial area, identify each unit area adjacent to the initial area, mark the factor feature data of the adjacent unit areas as comparison data, and match the corresponding equivalent range according to the factor feature data of the initial area and the comparison data; Step SA3: judging the merging of the factor feature data and the comparison data according to the equivalent range; when it is judged that the merging requirements are met, merging the corresponding adjacent initial area and unit area to obtain a merged area, and determining the merged area feature data of the merged area; when it is judged that the merging requirements are not met, no merging is performed, and corresponding marking is performed, and returning to step SA2; Step SA4: determining a merging target adjacent to the merging region, determining corresponding factor feature data and comparison data according to the merging region and the merging target; matching the corresponding equivalent range according to the factor feature data and the comparison data; Step SA4: judging the merging of the factor feature data and the comparison data according to the equivalent range; when it is judged that the merging requirements are met, merging the merging area and the merging target to obtain a new merging area, and determining the merging area feature data of the new merging area; when it is judged that the merging requirements are not met, no merging is performed, and corresponding marking is performed, and the process returns to step SA2; Step SA5: loop step SA4 until the remaining adjacent unit areas or merged areas do not meet the merge requirements; mark the remaining merged areas and unit areas as feature areas.

4. The rapid positioning method supported by satellite navigation information according to claim 1, characterized in that: The method for determining the positioning satellites to be paired and applied to the positioning target on the evaluation segment according to the evaluation segment includes: Determine each candidate satellite according to the positioning target; identify each feature area corresponding to the evaluation segment and mark it as the evaluation area; obtain regional feature data corresponding to the evaluation area, evaluate the candidate satellite according to the obtained regional feature data, and obtain each evaluation item data corresponding to the candidate satellite; The evaluation item data corresponding to each candidate satellite is compared to determine the positioning satellite for paired application.

5. The rapid positioning method supported by satellite navigation information according to claim 4, characterized in that: The method for comparing the data of each evaluation item corresponding to each candidate satellite includes: Step SC1: Combine the selected satellites in pairs to obtain a plurality of first combinations; Step SC2: identifying each evaluation item data corresponding to two candidate satellites in each first combination, marking them as single item data; comparing each single item data to determine the corresponding single optimization value; Match the corresponding weight coefficient according to the evaluation item corresponding to a single data item; Step SC3: Mark the evaluation item as i, i=1, 2, ..., n, and n is a positive integer; mark the obtained weight coefficient and single optimization value as ηi and DYi respectively; According to the formula Calculate the corresponding comparison value; Where: PU is the comparison value; According to whether the comparison value is greater than 1, marking two satellites to be selected in the first combination as a priority satellite and a lagging satellite respectively; Step SC4: Identify the comparison values ​​corresponding to each first combination, eliminate the lagging satellites in each first combination according to the comparison values, and eliminate the candidate satellites lagging behind each lagging satellite to determine the positioning satellite for pairing application.

6. The rapid positioning method supported by satellite navigation information according to claim 5, characterized in that: The method for pairing processing according to the determined positioning satellite includes: Mark the positioning satellite currently paired with the positioning target as the first satellite, mark each positioning satellite corresponding to the evaluation segment as the second satellite, compare the first satellite with the second satellite, and determine the pairing change point; perform pairing preprocessing according to the second satellite and the pairing change point; when the positioning target reaches the pairing change point, pair the second satellite; When there are no paired change points on the evaluation segment, no corresponding operation is performed.

7. A rapid positioning system supported by satellite navigation information, characterized in that: The method for rapid positioning supported by satellite navigation information according to any one of claims 1 to 6 comprises: an information graph module and a target analysis module; The information map module is used to establish a regional information feature map, identify a navigation route, obtain environmental change data on the navigation route in real time, and update the regional information feature map in real time according to the environmental change data; The target analysis module is used to perform positioning analysis, determine the positioning target, mark the position of the positioning target in real time in the regional information feature map, and determine the evaluation segment according to the position of the positioning target; determine the positioning satellite to be paired with the positioning target on the evaluation segment according to the evaluation segment; perform pairing processing according to the determined positioning satellite, receive positioning analysis data from the positioning satellite; and locate the positioning target according to the obtained positioning analysis data.

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