A Satellite Communication Signal Monitoring System and Method Based on Multi-Source Data Analysis

Abstract

The present invention relates to the field of communication technology, and specifically to a satellite communication signal monitoring system and method based on multi-source data analysis, wherein the system includes an early warning management module, wherein the early warning management module obtains vehicle information corresponding to the current time, predicts changes in the degree of interference of satellite communication signals received by the vehicle's GPS receiving antenna within the first subsequent unit time based on the current time, and performs early warning management on the vehicle according to the prediction results. The present invention can predict changes in satellite communication signals in advance, and in the process of satellite navigation, analyzes the influence of the surrounding environment and interference sources of the planned path on the satellite communication signal in advance, and by analyzing the prediction results corresponding to the satellite communication signals received at different locations, warns users in advance of abnormal sections of satellite signals, avoids users from entering the wrong path, and effectively navigates users.

Description

Technical Field

[0001] The present invention relates to the field of communication technology, and in particular to a satellite communication signal monitoring system and method based on multi-source data analysis. Background Art

[0002] With the rapid development of communication technology, people's way of obtaining information is becoming more and more convenient. Among them, satellite communication has the characteristics of wide coverage, large capacity and strong mobility during use, and thus has great development prospects; in the field of satellite positioning, receiving satellite communication signals through the on-board GPS receiving antenna can realize accurate positioning of moving vehicles, but in life, the satellite communication signals received by the on-board GPS receiving antenna are not always stable. They are affected by the interference of the surrounding environment and strong electromagnetic areas. The signal strength of the satellite communication signal received by the on-board GPS receiving antenna after interference is weak, or even unable to receive the satellite communication signal, which has a great impact on the positioning of the vehicle.

[0003] The existing satellite communication signal monitoring system based on multi-source data analysis simply monitors the strength of the satellite communication signal received by the vehicle in real time, and is unable to predict the changes in the satellite communication signal in advance. In the field of satellite navigation, since the receiving end only analyzes the received satellite communication signal and does not make predictions in advance, when the satellite communication signal is suddenly interfered with, the satellite navigation cannot update the vehicle position in time. When the vehicle is moving, the vehicle positioning in the navigation still shows the position where the vehicle has already traveled. When the user still drives according to the navigation display, it is easy to get into the wrong path, and the user cannot be effectively navigated. Therefore, the existing technology has major defects. Summary of the invention

[0004] The object of the present invention is to provide a satellite communication signal monitoring system and method based on multi-source data analysis to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a satellite communication signal monitoring method based on multi-source data analysis, the method comprising the following steps:

[0006] S1. Obtain the planned route corresponding to the on-board navigation during the vehicle's movement, and construct a spatial model based on the surrounding environmental information in the planned route;

[0007] S2. Analyze the relationship between the environmental information and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna according to the environmental information around the vehicle in the historical data and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna under the corresponding environmental information;

[0008] S3. Analyze the relationship between the distances between different types of interference sources and the vehicle GPS receiving antenna, and the degree of interference of the satellite communication signals received by the vehicle GPS receiving antenna, based on historical data.

[0009] The interference source is a place that generates strong electromagnetic interference. The types of interference sources include high-voltage lines, microwave stations, power transmission stations, and substations. Different types of interference sources correspond to different interference ranges.

[0010] S4. Obtain the areas within the planned route corresponding to the in-vehicle navigation during the vehicle's travel that overlap with the interference ranges corresponding to the interference sources, and mark the positions and types of the corresponding interference sources in the overlapping areas in the spatial model.

[0011] S5. Obtain the vehicle information corresponding to the current time, predict the change in the degree of interference of the satellite communication signals received by the vehicle GPS receiving antenna within the subsequent first unit time based on the current time, and perform early warning management on the vehicle according to the prediction results. The first unit time is a constant preset in the database.

[0012] Further, the method for constructing the spatial model based on the environmental information around the planned route in S1 includes the following steps:

[0013] S1.1. Obtain the planned route corresponding to the in-vehicle navigation during the vehicle's travel, and obtain the longitude and latitude coordinates corresponding to each position point on the planned route.

[0014] S1.2. Obtain the remote sensing images of the buildings within the second unit distance on both sides of the planned route in the database, obtain the coordinates of the ground object points based on the mutual relationship between the images, establish a digital surface model, and then establish a building model through texture mapping.

[0015] S1.3. Take the starting point of the planned route as the origin o, take the east-to-west direction as the x-axis, the south-to-north direction as the y-axis, and the bottom-to-top direction as the z-axis to construct a spatial rectangular coordinate system, and add the building model data in the spatial rectangular coordinate system to obtain the spatial model.

[0016] The environmental information around the planned route is the remote sensing images of the buildings within the second unit distance on both sides of the planned route. The second unit distance is a constant preset in the database.

[0017] In the process of constructing the spatial model according to the environmental information around the planned route in the present invention, it is to quantify the position of the vehicle GPS receiving antenna in the subsequent process and provide a data basis for calculating the distance between the interference source and the vehicle GPS receiving antenna.

[0018] Further, the method for analyzing the relationship between the environmental information and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna in S2 includes the following steps:

[0019] S2.1. Obtain the environmental information around the vehicle in the historical data and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna under the corresponding environmental information;

[0020] S2.2. Calculate the occlusion rate of the environmental information around the vehicle to the vehicle GPS receiving antenna, and construct the first relationship data pair (a, b), where a represents the occlusion rate of the environmental information around the vehicle to the vehicle GPS receiving antenna, and b represents the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna under the environmental information without interference sources around the vehicle with an occlusion rate of a.

[0021] The degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna is the difference between the satellite communication signal strength in the ideal state and the actually received satellite communication signal strength.

[0022] The ideal state is a state where there are no building-level interference sources within the second unit distance around the vehicle GPS receiving antenna.

[0023] S2.3. According to the linear fitting regression equation, perform linear fitting on each first relationship data pair obtained in S2.2. The obtained fitting linear function is the function corresponding to the relationship between the occlusion rate of the environmental information to the vehicle GPS receiving antenna and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna, denoted as G(a).

[0024] The G(a) reflects the relationship between the environmental information and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna.

[0025] The method for obtaining the occlusion rate of the environmental information around the vehicle to the vehicle GPS receiving antenna in S2.2 includes the following steps:

[0026] S2.2.1. Obtain the coordinate point corresponding to the vehicle GPS receiving antenna in the spatial model, denoted as A, and construct a spherical surface with A as the center and the third unit distance as the radius. Denote the obtained spherical surface as QA. The third unit distance is a constant preset in the database.

[0027] S2.2.2. Obtain the set of coordinate points corresponding to each building model and the ground area within the spherical surface with A as the center and the second unit distance as the radius, denoted as WA.

[0028] S2.2.3. Select any point on QA, denoted as B. Construct a ray AB with A as an endpoint, and calculate the intersection of the set formed by each coordinate point on ray AB and WA.

[0029] When the intersection of the set formed by each coordinate point on ray AB and WA is not an empty set, it is determined that the satellite signals received by the vehicle GPS receiving antenna in the direction corresponding to ray AB are blocked by buildings, and point B on QA is marked.

[0030] When the intersection of the set formed by each coordinate point on ray AB and WA is an empty set, it is determined that the satellite signals received by the vehicle GPS receiving antenna in the direction corresponding to ray AB are not blocked by buildings, and point B on QA is not marked.

[0031] S2.2.4. Calculate the ratio of the total area occupied by all the marked points on QA corresponding to different positions of B in QA to the surface area of QA. The obtained ratio is the occlusion rate of the vehicle GPS receiving antenna by the environmental information around the vehicle.

[0032] In the process of analyzing the relationship between the environmental information and the degree of interference of the satellite communication signals received by the vehicle GPS receiving antenna in the present invention, obtaining the occlusion rate of the vehicle GPS receiving antenna by the environmental information around the vehicle takes into account that when there are buildings around the vehicle-mounted GPS receiving antenna, it will block the satellite communication signals to be received by the vehicle-mounted GPS receiving antenna, thereby hindering the vehicle-mounted GPS receiving antenna from receiving satellite communication signals, affecting the positioning process of the satellite for the vehicle, and even making the satellite unable to locate the vehicle position.

[0033] Further, the method for analyzing the relationship between the distances between different types of interference sources and the vehicle GPS receiving antenna and the degree of interference of the satellite communication signals received by the vehicle GPS receiving antenna according to historical data in S3 includes the following steps:

[0034] S3.1. Obtain, under the condition that there is no building model around the vehicle and there is only one interference source in the historical data, the distances between the interference source and the vehicle GPS receiving antenna within the interference range of different types of interference sources and the degree of interference of the satellite communication signals received by the vehicle GPS receiving antenna at the corresponding distances.

[0035] Number the types of different interference sources. Denote the distance between the interference source with type number i and the vehicle GPS receiving antenna as Li, and denote the degree of interference of the satellite communication signals received by the vehicle GPS receiving antenna corresponding to Li as C, and construct a second relationship data pair (Li, C).

[0036] S3.2: Taking o as the origin, the distance between the interference source and the vehicle GPS receiving antenna as the x2-axis, and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna as the y-axis, a plane rectangular coordinate system is constructed;

[0037] S3.3: Mark the corresponding coordinate points of each second relationship data pair corresponding to the interference source with type number i in the historical database on the corresponding coordinate points in the plane rectangular coordinate system, and according to the function model preset in the database, use the matlab software to perform curve fitting on each marked coordinate point in the plane rectangular coordinate system. The obtained fitting result is the relationship between the distance between the interference source with type number i and the vehicle GPS receiving antenna, and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna. Denote the function corresponding to the obtained fitting result as F i (x2);

[0038] The function model preset in the database is y2 = e1*tanh(e4*x2 + e2) + e3, where e1, e2, e3, and e4 are all coefficients;

[0039] The interference ranges corresponding to different types of interference sources are obtained by querying the preset database.

[0040] When the present invention analyzes the relationship between the distance between different types of interference sources and the vehicle GPS receiving antenna, and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna based on historical data, considering the influence of the interference source on the process of the vehicle-mounted GPS receiving antenna receiving the satellite communication signal, different interference sources have different interference ranges. Within the interference range, the closer the distance between the interference source and the vehicle-mounted GPS receiving antenna, the greater the influence of the interference source on the vehicle-mounted GPS receiving antenna, and the higher the degree of interference of the satellite communication signal received by the vehicle-mounted GPS receiving antenna.

[0041] Further, when marking the position and type of the interference source corresponding to the overlapping area in the spatial model in S4, the position of the interference source includes the longitude and latitude coordinates and the height of the interference source from the ground.

[0042] Further, when obtaining the vehicle information corresponding to the current time in S5, the vehicle information includes the vehicle speed and the coordinate position of the vehicle GPS receiving antenna in the spatial model;

[0043] The method for predicting the change situation of the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna within the subsequent first unit time based on the current time includes the following steps:

[0044] S5.1. Obtain the vehicle information corresponding to the current time, calculate the product of the vehicle speed in the obtained vehicle information and the first unit of time, denoted as the first moving distance. When the vehicle GPS receiving antenna travels the first moving distance along the planned path from the position corresponding to the current time, obtain the moving path interval corresponding to the vehicle GPS receiving antenna, denoted as the first path interval;

[0045] S5.2. Select the coordinates of the vehicle GPS receiving antenna corresponding to any point in the first path interval within the spatial model, denoted as h;

[0046] S5.3. Obtain the function G(a) corresponding to the relationship between the shielding rate of the vehicle GPS receiving antenna by the environmental information and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna. Calculate the shielding rate of the vehicle GPS receiving antenna by the surrounding environment at h in the spatial model, denoted as ah, and obtain the degree of interference G(ah) of the satellite communication signal received by the vehicle GPS receiving antenna when the position of h is affected by building shielding;

[0047] S5.4. Obtain the relationship between the distances between different types of interference sources and the vehicle GPS receiving antenna and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna,

[0048] Obtain the positions and corresponding types of each interference source whose interference range includes h. Denote the distance between the position of the j-th interference source whose interference range includes h and h as LU jh , and denote the type number of the j-th interference source whose interference range includes h as vhj. Obtain the degree of interference G1(h) of the satellite communication signal received by the vehicle GPS receiving antenna when the position of h is affected by the interference source,

[0049]

[0050] where j1 represents the total number of interference sources whose interference range includes h,

[0051] F vhj (LU jh ) represents the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna when the distance between the interference source with type number vhj and the vehicle GPS receiving antenna is LU jh ;

[0052] S5.5. Obtain the predicted value G(ah) + G1(h) of the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna at the position of h.

[0053] When predicting the change in the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna within the subsequent first unit of time based on the current time, it is necessary to comprehensively consider the interference degrees of the vehicle surrounding environment and the interference source on the satellite communication signal received by the vehicle-mounted GPS receiving antenna. Furthermore, when effectively predicting the degree of interference of the satellite communication signal received by the vehicle-mounted GPS receiving antenna by the surrounding environment and the interference source at any point in the vehicle driving area within the subsequent first unit of time based on the current time, it provides a data reference for the subsequent early warning management of the vehicle.

[0054] Further, when performing early warning management on the vehicle according to the prediction result in S5,

[0055] When the degree of interference of the satellite communication signal in the prediction result is less than the first preset value, it is determined that the state of the satellite communication signal received by the vehicle GPS receiving antenna is normal;

[0056] When the degree of interference of the satellite communication signal in the prediction result is greater than or equal to the first preset value, it is determined that the state of the satellite communication signal received by the vehicle GPS receiving antenna is abnormal, and among the positions where the degree of interference of the satellite communication signal corresponding to the prediction result within the first path interval is greater than or equal to the first preset value, the position with the smallest distance from the corresponding coordinates of the vehicle GPS receiving antenna at the current time is recorded as hmin, and the distance between hmin and the corresponding coordinates of the vehicle GPS receiving antenna at the current time is recorded as Lmin.

[0057] If there is a fork within the fourth unit distance behind hmin in the planned route, a warning is given to the user, reminding the user that the satellite signal is weak at a distance of Lmin from the current position in the front section of the road, memorizing the navigation route in advance, and paying attention to the driving path.

[0058] If there is no fork within the fourth unit distance behind hmin in the planned route, there is no need to give a warning reminder to the user, and the fourth unit distance is a constant preset in the database.

[0059] A satellite communication signal monitoring system based on multi-source data analysis, the system includes the following modules:

[0060] A space model construction module, which obtains the planned route corresponding to the vehicle-mounted navigation during the vehicle's travel and constructs a space model according to the surrounding environment information in the planned route;

[0061] An occlusion factor analysis module, which analyzes the relationship between the environmental information and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna according to the environmental information around the vehicle in the historical data and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna under the corresponding environmental information.

[0062] An interference source impact analysis module, which analyzes, based on historical data, the relationship between the distances between different types of interference sources and the vehicle GPS receiving antenna, and the degree of interference of the satellite communication signals received by the vehicle GPS receiving antenna.

[0063] The interference source is a place that generates strong electromagnetic interference. The types of interference sources include high-voltage lines, microwave stations, power transmission stations, and substations. Different types of interference sources correspond to different interference ranges.

[0064] An interference source acquisition module, which acquires the areas within the planned route corresponding to the in-vehicle navigation during the vehicle's travel that overlap with the interference ranges corresponding to the interference sources, and marks the positions and types of the interference sources corresponding to the overlapping areas in the spatial model.

[0065] An early warning management module, which acquires the vehicle information corresponding to the current time, predicts the change in the degree of interference of the satellite communication signals received by the vehicle GPS receiving antenna within the subsequent first unit of time based on the current time, and conducts early warning management on the vehicle according to the prediction results. The first unit of time is a constant preset in the database.

[0066] Further, when the early warning management module conducts early warning management on the vehicle according to the prediction results,

[0067] When the degree of interference of the satellite communication signals in the prediction results is less than the first preset value, it is determined that the state of the satellite communication signals received by the vehicle GPS receiving antenna is normal.

[0068] When the degree of interference of the satellite communication signals in the prediction results is greater than or equal to the first preset value, it is determined that the state of the satellite communication signals received by the vehicle GPS receiving antenna is abnormal. And among the positions where the degree of interference of the satellite communication signals corresponding to the prediction results within the first path interval is greater than or equal to the first preset value, the position with the minimum distance from the coordinates corresponding to the vehicle GPS receiving antenna at the current time is denoted as hmin, and the distance between hmin and the coordinates corresponding to the vehicle GPS receiving antenna at the current time is denoted as Lmin.

[0069] If there is a fork in the road within the fourth unit distance behind hmin in the planned route, a warning is given to the user, reminding the user that the satellite signal is weak at a position Lmin away from the current position in the front section of the road, asking the user to memorize the navigation route in advance, and pay attention to the driving path.

[0070] If there is no fork in the road within the fourth unit distance behind hmin in the planned route, there is no need to give a warning reminder to the user. The fourth unit distance is a constant preset in the database.

[0071] Compared with the prior art, the beneficial effects achieved by the present invention are: the present invention can predict the changes in satellite communication signals in advance, and in the process of satellite navigation, analyze in advance the impact of the surrounding environment of the planned path and the interference source on the satellite communication signal, and by analyzing the prediction results corresponding to the satellite communication signals received at different locations, the user is warned in advance of the abnormal sections of the satellite signal, so as to avoid the user from mistakenly entering the wrong path and provide effective navigation for the user. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0073] Figure 1 It is a structural schematic diagram of a satellite communication signal monitoring system based on multi-source data analysis of the present invention;

[0074] Figure 2 The present invention is a flowchart of a satellite communication signal monitoring method based on multi-source data analysis. DETAILED DESCRIPTION

[0075] 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.

[0076] See also Figure 1 - Figure 2 The present invention provides a technical solution: a satellite communication signal monitoring method based on multi-source data analysis, the method comprising the following steps:

[0077] S1. Obtain the planned route corresponding to the on-board navigation during the vehicle's movement, and construct a spatial model based on the surrounding environmental information in the planned route;

[0078] The method for constructing a spatial model according to the surrounding environmental information of the planned route in S1 comprises the following steps:

[0079] S1.1. Obtain the planned route corresponding to the onboard navigation system during the vehicle's travel, and obtain the longitude and latitude coordinates corresponding to each location point in the planned route;

[0080] S1.2, obtain remote sensing images of buildings within the second unit distance on both sides of the planned route in the database, obtain the coordinates of the ground object points according to the relationship between the images, establish a digital surface model, and then establish a building model through texture mapping;

[0081] S1.3: Taking the starting point of the planned route as the origin o, constructing a spatial rectangular coordinate system with the east-to-west direction as the x-axis, the south-to-north direction as the y-axis, and the bottom-to-top direction as the z-axis, and adding building model data in the spatial rectangular coordinate system to obtain a spatial model.

[0082] The environmental information around the planned route is the remote sensing images of buildings within the second unit distance on both sides of the planned route, and the second unit distance is a constant preset in the database.

[0083] S2: Analyze the relationship between the environmental information around the vehicle in the historical data and the degree of interference of the satellite communication signal received by the vehicle's GPS receiving antenna under the corresponding environmental information.

[0084] The method for analyzing the relationship between the environmental information and the degree of interference of the satellite communication signal received by the vehicle's GPS receiving antenna in S2 includes the following steps:

[0085] S2.1: Obtain the environmental information around the vehicle in the historical data and the degree of interference of the satellite communication signal received by the vehicle's GPS receiving antenna under the corresponding environmental information.

[0086] S2.2: Calculate the occlusion rate of the environmental information around the vehicle in the historical data on the vehicle's GPS receiving antenna, and construct the first relationship data pair (a, b), where a represents the occlusion rate of the environmental information around the vehicle on the vehicle's GPS receiving antenna, and b represents the degree of interference of the satellite communication signal received by the vehicle's GPS receiving antenna under the environmental information without interference sources around when the occlusion rate is a.

[0087] The degree of interference of the satellite communication signal received by the vehicle's GPS receiving antenna is the difference between the satellite communication signal strength in the ideal state and the actually received satellite communication signal strength.

[0088] The ideal state is the state where there are no building-level interference sources within the second unit distance around the vehicle's GPS receiving antenna.

[0089] S2.3: According to the linear fitting regression equation, perform linear fitting on each first relationship data pair obtained in S2.2, and the obtained fitting linear function is the function corresponding to the relationship between the occlusion rate of the environmental information on the vehicle's GPS receiving antenna and the degree of interference of the satellite communication signal received by the vehicle's GPS receiving antenna, denoted as G(a).

[0090] The G(a) reflects the relationship between the environmental information and the degree of interference of the satellite communication signal received by the vehicle's GPS receiving antenna.

[0091] The method for obtaining the shielding rate of the vehicle GPS receiving antenna by the environmental information around the vehicle in S2.2 includes the following steps:

[0092] S2.2.1. Obtain the coordinate point corresponding to the vehicle GPS receiving antenna in the spatial model, denoted as A, and construct a spherical surface with A as the center and the third unit distance as the radius. Denote the obtained spherical surface as QA, where the third unit distance is a constant preset in the database;

[0093] S2.2.2. Obtain the set of coordinate points corresponding to each building model and ground area within the spherical surface with A as the center and the second unit distance as the radius, denoted as WA;

[0094] S2.2.3. Select any point on QA, denoted as B, construct a ray AB with A as the endpoint, and calculate the intersection of the set of coordinate points on the ray AB and WA;

[0095] When the intersection of the set of coordinate points on the ray AB and WA is not an empty set, it is determined that the satellite signal received by the vehicle GPS receiving antenna in the direction corresponding to the ray AB is blocked by the building, and the B point on QA is marked;

[0096] When the intersection of the set of coordinate points on the ray AB and WA is an empty set, it is determined that the satellite signal received by the vehicle GPS receiving antenna in the direction corresponding to the ray AB is not blocked by the building, and the B point on QA is not marked;

[0097] S2.2.4. Calculate the ratio of the total area occupied by all the marked points on QA corresponding to different positions of B in QA to the surface area of QA. The obtained ratio is the shielding rate of the environmental information around the vehicle to the vehicle GPS receiving antenna.

[0098] S3. Analyze the relationship between the distance between different types of interference sources and the vehicle GPS receiving antenna and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna based on historical data.

[0099] The interference source is a place that generates strong electromagnetic interference. The types of interference sources include high-voltage lines, microwave stations, power transmission stations, and substations. Different types of interference sources correspond to different interference ranges;

[0100] In this embodiment, the interference ranges corresponding to microwave stations, power transmission stations, and substations are 500 m; the interference range of high-voltage lines is 50 m.

[0101] The method for analyzing the relationship between the distance between different types of interference sources and the vehicle GPS receiving antenna and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna in S3 includes the following steps:

[0102] S3.1. Obtain, under the condition that there is no building model around the vehicle and there is only one interference source in the historical data, within the interference range of different types of interference sources, the distance between the interference source and the vehicle's GPS receiving antenna, and the degree to which the satellite communication signal received by the vehicle's GPS receiving antenna is interfered at the corresponding distance.

[0103] Number different types of interference sources. Denote the distance between the interference source with type number i and the vehicle's GPS receiving antenna as Li, and denote the degree to which the satellite communication signal received by the vehicle's GPS receiving antenna corresponding to Li is interfered as C, and construct the second relationship data pair (Li, C).

[0104] S3.2. Construct a plane rectangular coordinate system with o as the origin, the distance between the interference source and the vehicle's GPS receiving antenna as the x2-axis, and the degree to which the satellite communication signal received by the vehicle's GPS receiving antenna is interfered as the y-axis.

[0105] S3.3. Mark the corresponding coordinate points of each second relationship data pair corresponding to the interference source with type number i in the historical database on the corresponding coordinate points in the plane rectangular coordinate system, and perform curve fitting on the marked coordinate points in the plane rectangular coordinate system through matlab software according to the function model preset in the database. The obtained fitting result is the relationship between the distance between the interference source with type number i and the vehicle's GPS receiving antenna and the degree to which the satellite communication signal received by the vehicle's GPS receiving antenna is interfered. Denote the function corresponding to the obtained fitting result as F i (x2);

[0106] The function model preset in the database is y2 = e1*tanh(e4*x2 + e2) + e3, where e1, e2, e3, and e4 are all coefficients.

[0107] The interference ranges corresponding to different types of interference sources are obtained by querying the preset database.

[0108] S4. Obtain the area within the planned route corresponding to the in-vehicle navigation during the vehicle's travel that overlaps with the interference range corresponding to the interference source, and mark the position and type of the interference source corresponding to the overlapping area in the spatial model.

[0109] When marking the position and type of the interference source corresponding to the overlapping area in the spatial model in S4, the position of the interference source includes the longitude and latitude coordinates and the height of the interference source from the ground.

[0110] S5. Obtain vehicle information corresponding to the current time, predict the change in the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna within the subsequent first unit time based on the current time, and perform early warning management on the vehicle according to the prediction result. The first unit time is a constant preset in the database.

[0111] When obtaining the vehicle information corresponding to the current time in S5, the vehicle information includes the vehicle speed and the coordinate position of the vehicle GPS receiving antenna in the space model.

[0112] The method for predicting the change in the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna within the subsequent first unit time based on the current time includes the following steps:

[0113] S5.1. Obtain vehicle information corresponding to the current time, calculate the product of the vehicle speed in the obtained vehicle information and the first unit time, denoted as the first moving distance. Obtain the moving path interval corresponding to the vehicle GPS receiving antenna when the vehicle GPS receiving antenna travels the first moving distance along the planned path from the position corresponding to the current time, denoted as the first path interval.

[0114] S5.2. Select the coordinate of the vehicle GPS receiving antenna corresponding to any point in the first path interval within the space model, denoted as h.

[0115] S5.3. Obtain the function G(a) corresponding to the relationship between the occlusion rate of the vehicle GPS receiving antenna by the environmental information and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna. Calculate the occlusion rate of the surrounding environment of h in the space model on the vehicle GPS receiving antenna, denoted as ah, and obtain the degree of interference G(ah) of the satellite communication signal received by the vehicle GPS receiving antenna when the position of h is affected by building occlusion.

[0116] S5.4. Obtain the relationship between the distance between different types of interference sources and the vehicle GPS receiving antenna and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna.

[0117] Obtain the positions and corresponding types of each interference source whose interference range includes h, and denote the distance between the position of the j-th interference source whose interference range includes h and h as LU jh , and denote the type number of the j-th interference source whose interference range includes h as vhj, and obtain the degree of interference G1(h) of the satellite communication signal received by the vehicle GPS receiving antenna when the position of h is affected by the interference source.

[0118]

[0119] Among them, j1 represents the total number of interference sources whose interference range includes h.

[0120] F vhj (LU jh ) represents that the distance between the interference source with type number vhj and the vehicle GPS receiving antenna is LU jh When the vehicle GPS receiving antenna is affected by the interference source, the degree to which the received satellite communication signal is interfered;

[0121] S5.5. Obtain the predicted value G(ah)+G1(h) of the degree to which the satellite communication signal received by the vehicle GPS receiving antenna is interfered at position h.

[0122] When performing early warning management on the vehicle according to the prediction result in S5,

[0123] When the degree to which the satellite communication signal is interfered in the prediction result is less than the first preset value, it is determined that the state of the satellite communication signal received by the vehicle GPS receiving antenna is normal;

[0124] When the degree to which the satellite communication signal is interfered in the prediction result is greater than or equal to the first preset value, it is determined that the state of the satellite communication signal received by the vehicle GPS receiving antenna is abnormal, and among the positions where the degree to which the satellite communication signal corresponding to the prediction result in the first path interval is greater than or equal to the first preset value, the position with the smallest distance between the coordinates corresponding to the vehicle GPS receiving antenna at the current time is denoted as hmin, and the distance between hmin and the coordinates corresponding to the vehicle GPS receiving antenna at the current time is denoted as Lmin.

[0125] If there is a fork in the road within the fourth unit distance behind hmin in the planned route, a warning is given to the user, reminding the user that the satellite signal is weak at a distance of Lmin from the current position in the front section of the road, memorize the navigation route in advance, and pay attention to the driving path.

[0126] If there is no fork in the road within the fourth unit distance behind hmin in the planned route, there is no need to give a warning reminder to the user, and the fourth unit distance is a constant preset in the database.

[0127] A satellite communication signal monitoring system based on multi-source data analysis, the system includes the following modules:

[0128] Spatial model construction module, the spatial model construction module obtains the planned route corresponding to the in-vehicle navigation during the vehicle's travel, and constructs a spatial model according to the surrounding environmental information in the planned route;

[0129] Occlusion factor analysis module, the occlusion factor analysis module analyzes the relationship between the environmental information and the degree to which the satellite communication signal received by the vehicle GPS receiving antenna is interfered according to the environmental information around the vehicle in the historical data and the degree to which the satellite communication signal received by the vehicle GPS receiving antenna is interfered under the corresponding environmental information;

[0130] An interference source impact analysis module, which analyzes, based on historical data, the relationship between the distances between different types of interference sources and the vehicle's GPS receiving antenna and the degree of interference of the satellite communication signals received by the vehicle's GPS receiving antenna.

[0131] The interference source is a place that generates strong electromagnetic interference. The types of interference sources include high-voltage lines, microwave stations, power transmission stations, and substations. Different types of interference sources correspond to different interference ranges.

[0132] An interference source acquisition module, which acquires the areas within the planned route corresponding to the in-vehicle navigation during the vehicle's travel that overlap with the interference ranges corresponding to the interference sources, and marks the positions and types of the interference sources corresponding to the overlapping areas in the spatial model.

[0133] An early warning management module, which acquires the vehicle information corresponding to the current time, predicts the change in the degree of interference of the satellite communication signals received by the vehicle's GPS receiving antenna within the subsequent first unit time based on the current time, and conducts early warning management for the vehicle according to the prediction result. The first unit time is a constant preset in the database.

[0134] When the early warning management module conducts early warning management for the vehicle according to the prediction result,

[0135] When the degree of interference of the satellite communication signals in the prediction result is less than the first preset value, it is determined that the state of the satellite communication signals received by the vehicle's GPS receiving antenna is normal.

[0136] When the degree of interference of the satellite communication signals in the prediction result is greater than or equal to the first preset value, it is determined that the state of the satellite communication signals received by the vehicle's GPS receiving antenna is abnormal, and the position with the smallest distance between the coordinates corresponding to the vehicle's GPS receiving antenna at the current time among the positions where the degree of interference of the satellite communication signals corresponding to the prediction result within the first path interval is greater than or equal to the first preset value is denoted as hmin, and the distance between hmin and the coordinates corresponding to the vehicle's GPS receiving antenna at the current time is denoted as Lmin.

[0137] If there is a fork within the fourth unit distance behind hmin in the planned route, a warning is given to the user, reminding the user that the satellite signal is weak at a distance of Lmin from the current position in the front section of the road, to memorize the navigation route in advance, and to pay attention to the driving path.

[0138] If there is no fork within the fourth unit distance behind hmin in the planned route, there is no need to give a warning reminder to the user. The fourth unit distance is a constant preset in the database.

[0139] It should be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device.

[0140] Finally, it should be noted that the above are only preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A satellite communication signal monitoring method based on multi-source data analysis, characterized in that, The method includes the following steps: S1. Obtain the planned route corresponding to the in-vehicle navigation during the vehicle's travel, and construct a spatial model based on the environmental information around the planned route; S2. Analyze the relationship between the environmental information and the degree of interference of the satellite communication signal received by the vehicle's GPS receiving antenna according to the environmental information around the vehicle in the historical data and the degree of interference of the satellite communication signal received by the vehicle's GPS receiving antenna under the corresponding environmental information; S3. Analyze the relationship between the distance between different types of interference sources and the vehicle's GPS receiving antenna and the degree of interference of the satellite communication signal received by the vehicle's GPS receiving antenna according to the historical data. The interference source is a place that generates strong electromagnetic interference. The types of interference sources include high-voltage lines, microwave stations, power transmission stations, and substations. Different types of interference sources correspond to different interference ranges; S4. Obtain the area within the planned route corresponding to the in-vehicle navigation during the vehicle's travel that overlaps with the interference range corresponding to the interference source, and mark the position and type of the interference source corresponding to the overlapping area in the spatial model; S5. Obtain the vehicle information corresponding to the current time, predict the change in the degree of interference of the satellite communication signal received by the vehicle's GPS receiving antenna within the subsequent first unit time based on the current time, and perform early warning management on the vehicle according to the prediction result. The first unit time is a constant preset in the database; The method for constructing a spatial model based on the environmental information around the planned route in S1 includes the following steps: S1.

1. Obtain the planned route corresponding to the in-vehicle navigation during the vehicle's travel, and obtain the longitude and latitude coordinates corresponding to each position point on the planned route; S1.

2. Obtain the remote sensing images of the buildings within the second unit distance on both sides of the planned route in the database, obtain the coordinates of the ground object points according to the mutual relationship between the images, establish a digital surface model, and then establish a building model through texture mapping; S1.

3. Take the starting point of the planned route as the origin o, take the east-west direction as the x-axis, the south-north direction as the y-axis, and the bottom-up direction as the z-axis to construct a spatial rectangular coordinate system, and add the building model data in the spatial rectangular coordinate system to obtain a spatial model. The environmental information around the planned route is the remote sensing images of the buildings within the second unit distance on both sides of the planned route. The second unit distance is a constant preset in the database; The method for analyzing the relationship between the environmental information and the degree of interference of the satellite communication signal received by the vehicle's GPS receiving antenna in S2 includes the following steps: S2.

1. Obtain the environmental information around the vehicle in the historical data and the degree of interference of the satellite communication signal received by the vehicle's GPS receiving antenna under the corresponding environmental information; S2.

2. Calculate the occlusion rate of the environmental information around the vehicle in the historical data on the vehicle's GPS receiving antenna, and construct the first relationship data pair (a, b), where a represents the occlusion rate of the environmental information around the vehicle on the vehicle's GPS receiving antenna, and b represents the degree of interference of the satellite communication signal received by the vehicle's GPS receiving antenna in the environmental information without interference sources around the vehicle when the occlusion rate is a. The degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna is the difference between the satellite communication signal strength under ideal conditions and the actually received satellite communication signal strength. The ideal state is a state where there is no building-level interference source within the second unit distance around the vehicle GPS receiving antenna. S2.

3. According to the linear fitting regression equation, perform linear fitting on each first relationship data pair obtained in S2.

2. The obtained fitting linear function is the function corresponding to the relationship between the occlusion rate of the vehicle GPS receiving antenna by environmental information and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna, denoted as G(a). The G(a) reflects the relationship between environmental information and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna. The method for obtaining the occlusion rate of the vehicle GPS receiving antenna by environmental information around the vehicle in S2.2 includes the following steps: S2.2.

1. Obtain the coordinate point corresponding to the vehicle GPS receiving antenna in the spatial model, denoted as A, and construct a spherical surface with A as the center and the third unit distance as the radius. Denote the obtained spherical surface as QA. The third unit distance is a constant preset in the database. S2.2.

2. Obtain the set of coordinate points corresponding to each building model and ground area within the spherical surface constructed with A as the center and the second unit distance as the radius, denoted as WA. S2.2.

3. Select any point on QA, denoted as B, construct a ray AB with A as the endpoint, and calculate the intersection of the set of coordinate points on the ray AB and WA. When the intersection of the set of coordinate points on the ray AB and WA is not an empty set, it is determined that the satellite signal received by the vehicle GPS receiving antenna in the direction corresponding to the ray AB is blocked by a building, and the B point on QA is marked. When the intersection of the set of coordinate points on the ray AB and WA is an empty set, it is determined that the satellite signal received by the vehicle GPS receiving antenna in the direction corresponding to the ray AB is not blocked by a building, and the B point on QA is not marked. S2.2.

4. Calculate the ratio of the total area occupied by all marked points on QA corresponding to different positions of B in QA to the surface area of QA. The obtained ratio is the occlusion rate of the vehicle GPS receiving antenna by environmental information around the vehicle. The method for analyzing the relationship between the distance between different types of interference sources and the vehicle GPS receiving antenna and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna based on historical data in S3 includes the following steps: S3.

1. Obtain, from the historical data, the distance between the interference source and the vehicle GPS receiving antenna and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna at the corresponding distance within the interference range of different types of interference sources when there is no building model around the vehicle and there is only one interference source. The types of different interference sources are numbered. The distance between the interference source with type number i and the vehicle GPS receiving antenna is denoted as Li, and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna corresponding to Li is denoted as C. And a second relationship data pair (Li, C) is constructed. S3.

2. Taking o as the origin, taking the distance between the interference source and the vehicle GPS receiving antenna as the x2-axis, and taking the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna as the y-axis, a plane rectangular coordinate system is constructed. S3.

3. Mark the corresponding coordinate points of each second relationship data pair corresponding to the interference source with type number i in the historical database on the coordinate points in the plane rectangular coordinate system, and perform curve fitting on each marked coordinate point in the plane rectangular coordinate system through the matlab software according to the function model preset in the database. The obtained fitting result is the relationship between the distance between the interference source with type number i and the vehicle GPS receiving antenna and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna. Denote the function corresponding to the obtained fitting result as F i (x2); The function model preset in the database is y2 = e1 * tanh(e4 * x2 + e2) + e3, where e1, e2, e3 and e4 are all coefficients. The interference ranges corresponding to different types of interference sources are obtained by querying a preset database. When obtaining the vehicle information corresponding to the current time in S5, the vehicle information includes the vehicle speed and the coordinate position of the vehicle GPS receiving antenna in the space model. The method for predicting the change of the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna in the subsequent first unit time based on the current time includes the following steps: S5.

1. Obtain the vehicle information corresponding to the current time, calculate the product of the vehicle speed in the obtained vehicle information and the first unit time, and denote it as the first moving distance. Obtain the moving path interval corresponding to the vehicle GPS receiving antenna when the vehicle GPS receiving antenna travels the first moving distance along the planned path from the position corresponding to the current time, and denote it as the first path interval. S5.

2. Select the coordinate of the vehicle GPS receiving antenna corresponding to any point in the first path interval in the space model, and denote it as h. S5.

3. Obtain the function G(a) corresponding to the relationship between the occlusion rate of the vehicle GPS receiving antenna by the environmental information and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna. Calculate the occlusion rate of the vehicle GPS receiving antenna by the surrounding environment at h in the space model, and denote it as ah. Obtain the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna when the position h is affected by building occlusion, G(ah). S5.

4. Obtain the relationship between the distance between different types of interference sources and the vehicle GPS receiving antenna and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna. Obtain the positions and corresponding types of each interference source whose interference range includes h, and denote the distance between the position of the j-th interference source whose interference range includes h and h as LU jh Denote the type number of the j-th interference source whose interference range includes h as vhj. When the position h is affected by the interference source, obtain the interference degree G1(h) of the satellite communication signal received by the vehicle GPS receiving antenna Among them, j1 represents the total number of interference sources whose interference ranges include h. F vhj (LU jh ) indicates that the distance between the interference source with type number vhj and the vehicle GPS receiving antenna is LU jh When, the degree to which the satellite communication signal received by the vehicle GPS receiving antenna is interfered by the interference source; S5.

5. Obtain the predicted value G(ah) + G1(h) of the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna at the position h. When performing early warning management on the vehicle according to the prediction result in S5, when the degree of interference of the satellite communication signal in the prediction result is less than the first preset value, it is determined that the state of the satellite communication signal received by the vehicle GPS receiving antenna is normal. When the degree of interference of the satellite communication signal in the prediction result is greater than or equal to the first preset value, it is determined that the state of the satellite communication signal received by the vehicle GPS receiving antenna is abnormal, and among the positions where the degree of interference of the satellite communication signal corresponding to the prediction result in the first path interval is greater than or equal to the first preset value, the position with the minimum distance from the coordinate corresponding to the vehicle GPS receiving antenna at the current time is denoted as hmin, and the distance between hmin and the coordinate corresponding to the vehicle GPS receiving antenna at the current time is denoted as Lmin. If there is a fork within the fourth unit distance behind hmin in the planned route, a warning is given to the user, reminding the user that the satellite signal is weak at a distance of Lmin from the current position in the front section of the road, memorizing the navigation route in advance, and paying attention to the driving path. If there is no fork within the fourth unit distance behind hmin in the planned route, there is no need to give a warning reminder to the user. The fourth unit distance is a constant preset in the database.

2. The satellite communication signal monitoring method based on multi-source data analysis according to claim 1, characterized in that: When marking the position and type of the interference source corresponding to the overlapping area in the space model in S4, the position of the interference source includes the longitude and latitude coordinates and the height of the interference source from the ground.

3. A satellite communication signal monitoring system based on multi-source data analysis, applied to the satellite communication signal monitoring method based on multi-source data analysis according to claim 1, characterized in that, The system includes the following modules: A space model construction module that obtains the planned route corresponding to the in-vehicle navigation during the vehicle's travel and constructs a space model based on the surrounding environment information in the planned route; An occlusion factor analysis module that analyzes the relationship between the environmental information and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna based on the environmental information around the vehicle in the historical data and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna under the corresponding environmental information; An interference source impact analysis module that analyzes the relationship between the distance between different types of interference sources and the vehicle GPS receiving antenna and the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna based on historical data; The interference source is a place that generates strong electromagnetic interference. The types of interference sources include high-voltage lines, microwave stations, power transmission stations, and substations, and different types of interference sources correspond to different interference ranges; An interference source acquisition module that acquires the area within the planned route corresponding to the in-vehicle navigation during the vehicle's travel that overlaps with the interference range corresponding to the interference source, and marks the position and type of the interference source corresponding to the overlapping area in the space model; A warning management module that acquires the vehicle information corresponding to the current time, predicts the change in the degree of interference of the satellite communication signal received by the vehicle GPS receiving antenna within the subsequent first unit time based on the current time, and performs warning management on the vehicle according to the prediction result. The first unit time is a constant preset in the database.

4. The satellite communication signal monitoring system based on multi-source data analysis according to claim 3, characterized in that: When performing warning management on the vehicle according to the prediction result in the warning management module, When the degree of interference of the satellite communication signal in the prediction result is less than the first preset value, it is determined that the state of the satellite communication signal received by the vehicle GPS receiving antenna is normal; When the degree of interference of the satellite communication signal in the prediction result is greater than or equal to the first preset value, it is determined that the state of the satellite communication signal received by the vehicle GPS receiving antenna is abnormal, and among the positions where the degree of interference of the satellite communication signal corresponding to the prediction result in the first path interval is greater than or equal to the first preset value, the position with the smallest distance from the coordinate corresponding to the vehicle GPS receiving antenna at the current time is denoted as hmin, and the distance between hmin and the coordinate corresponding to the vehicle GPS receiving antenna at the current time is denoted as Lmin. If there is a fork in the road within the fourth unit distance behind hmin in the planned route, a warning is given to the user, reminding the user that the satellite signal is weak at a distance of Lmin from the current position in the front section of the road, memorize the navigation route in advance, and pay attention to the driving path. If there is no fork in the road within the fourth unit distance behind hmin in the planned route, there is no need to give a warning reminder to the user, and the fourth unit distance is a constant preset in the database.

Images