Single Beidou positioning intelligent switching management system and method based on 5G technology

Abstract

The invention relates to the technical field of positioning, in particular to a single Beidou positioning intelligent switching management system and method based on the 5G technology, and the method comprises the steps: obtaining key signal parameters of a 5G network and a Beidou system, and dynamically evaluating the communication quality of the 5G network and the Beidou system; obtaining the network load information of the 5G network and the Beidou system, and judging the congestion degree and response speed of the current 5G network and Beidou system; on the basis of evaluation and judgment results of the two steps, communication modes of the load are automatically switched in combination with the geographic position of the load; obtaining a load historical switching log and communication quality evaluation, analyzing a communication mode and communication preference of a user through a prediction model, predicting a communication demand of the user at a moment in the future, and formulating a communication switching strategy; based on the analysis of the pseudo-random noise code sequence of the 5G network and the pseudo-random noise code sequence of the Beidou network, the formulated communication switching strategy is optimized, and the Beidou network is prevented from being wrongly switched to the non-5G network.

Description

Technical Field

[0001] The present invention relates to the field of communication positioning technology, and in particular to a single Beidou positioning intelligent switching management system and method based on 5G technology. Background Art

[0002] The positioning function of the 5G network is achieved through the time difference of arrival (TDOA) of the signal. This positioning method uses the time difference of receiving signals from multiple base stations. By calculating these time differences, the location of the user device can be accurately determined. Because the 5G network uses higher frequencies and denser base station deployment, it can achieve higher positioning accuracy than the 4G network. The 5G network also supports positioning in multipath propagation and non-line-of-sight (NLOS) scenarios. This means that even in complex urban environments, or when there is no direct line of sight between the user device and the base station, the 5G network can still provide accurate positioning services. This is very important for applications that require high-precision positioning, such as autonomous driving and telemedicine.

[0003] The combination of 5G network and BeiDou system can achieve seamless indoor and outdoor positioning, and improve the accuracy and continuity of positioning. In the field of Internet of Vehicles, the combination of 5G and BeiDou can provide high-precision positioning services, support autonomous driving and intelligent traffic management. For IoT devices, the combination of 5G and BeiDou can provide reliable positioning services, support remote monitoring and management. In emergency rescue scenarios, the combination of 5G and BeiDou can provide fast and accurate positioning information, helping rescuers quickly find trapped people.

[0004] How to efficiently switch between 5G and BeiDou system is the key to ensure the combination of 5G network and BeiDou system. To this end, we proposed a method to improve the switching efficiency of 5G network and BeiDou system in positioning. Summary of the invention

[0005] In the present invention, in the switching process between the 5G network and the BeiDou system, not only the communication quality of the two networks themselves is considered, but also the geographical location. When specifying the switching strategy, based on the similarity of the priority pointer and the pseudo-random noise code sequence, while ensuring the positioning effect of using the two networks alone, the load is avoided from switching to other networks (4GW).

[0006] The technical solution proposed by the present invention is: a single Beidou positioning intelligent switching management method based on 5G technology, the method comprising:

[0007] Step 1: Obtain key signal parameters of the 5G network and BeiDou system, and dynamically evaluate the communication quality of the 5G network and BeiDou system;

[0008] Step 2: Obtain the network load information of the 5G network and the Beidou system to determine the congestion level and response speed of the current 5G network and the Beidou system; the load information includes the number of users, data traffic, node request data transmission volume and the geographical location of the load;

[0009] Step 3: Based on the evaluation and judgment results of steps 1 and 2, the communication mode of the load is automatically switched in combination with the geographical location of the load, and the switching log, the evaluation results of the communication quality, the congestion level and the judgment results of the response speed are sent to the cloud storage;

[0010] Step 4: Obtain the load switching history log and communication quality evaluation, analyze the user's communication mode and communication preference through the prediction model, predict the user's communication needs at a certain moment in the future, and formulate a communication switching strategy;

[0011] Step 5: Based on the analysis of the pseudo-random noise code sequence of the 5G network and the pseudo-random noise code sequence of the Beidou network, optimize the formulated communication switching strategy to avoid the Beidou network from erroneously switching to a non-5G network.

[0012] Preferably, the obtaining of key signal parameters of the 5G network and the BeiDou system comprises the following steps:

[0013] Build a network information sharing platform to obtain communication data and status information of 5G network and Beidou system in real time;

[0014] The key signal parameters of the 5G network and the Beidou system are respectively extracted from the communication data and status information. The key signal parameters of the 5G network include signal strength, signal-to-noise ratio, uplink rate and downlink rate; the key signal parameters of the Beidou system include frequency accuracy, pseudorange, carrier-to-noise ratio, carrier phase, Doppler frequency shift, pseudo-random noise code sequence and navigation message.

[0015] Preferably, the dynamic evaluation of the communication quality of the 5G network and the BeiDou system comprises the following steps:

[0016] Obtain the pseudorange, carrier phase, and Doppler frequency shift data of the Beidou system; use a low-pass filter to filter the pseudorange, carrier phase, and Doppler frequency shift data;

[0017] Calculate the standard deviation of pseudorange, carrier phase, and Doppler frequency shift, and compare them with the preset pseudorange standard deviation threshold, carrier phase standard deviation threshold, and Doppler frequency shift standard deviation threshold, respectively;

[0018] Evaluate the communication quality of the Beidou network according to the comparison result; and output the communication quality evaluation result of the Beidou network;

[0019] Obtain the reference signal received power, reference signal received quality and signal-to-noise ratio of the 5G network, compare the reference signal received power, reference signal received quality and signal-to-noise ratio with the received power threshold, the received quality threshold and the signal-to-noise ratio threshold respectively, evaluate the communication quality of the 5G network according to the comparison results, and output the communication quality evaluation result of the 5G network.

[0020] Preferably, the obtaining of the network load information of the 5G network and the BeiDou system and judging the congestion degree and response speed of the current 5G network and the BeiDou system comprises the following steps:

[0021] Determining the congestion level and response speed of the 5G network includes the following sub-steps:

[0022] Obtaining the load quantity and data flow information of the 5G network; extracting the key features of the 5G network from the load quantity and data flow information of the 5G network, wherein the key features of the 5G network include an average number of connections, a maximum number of connections, an average transmission rate, and an average delay;

[0023] Preprocess the obtained average number of connections, maximum number of connections, average transmission rate, and average delay data, and obtain the predicted values ​​of the congestion probability and response speed of the 5G network through linear regression analysis;

[0024] The predicted values ​​of the congestion degree and the response speed are compared with the preset congestion probability threshold 1 and the response speed threshold 1 respectively to determine the congestion degree and the response speed of the 5G network;

[0025] Determining the congestion level and response speed of the BeiDou system includes the following sub-steps:

[0026] Obtaining load information of the Beidou system network; extracting key features of the Beidou network from the load information of the Beidou network, wherein the key features of the Beidou network include an average number of requests, an average request delay time, and a variance of the number of requests;

[0027] The key features of the BeiDou network are preprocessed, and then linear regression analysis is performed to obtain the congestion probability and response speed prediction values ​​of the BeiDou network;

[0028] The congestion probability and response speed prediction values ​​of the Beidou network are compared with the preset congestion probability threshold 2 and response speed threshold 2 respectively to determine the congestion degree and response speed of the Beidou network.

[0029] Preferably, the automatic switching of the communication mode of the load based on the evaluation and judgment results of the above two steps and in combination with the geographical location of the load comprises the following steps:

[0030] Obtain the 5G network communication quality assessment results, congestion level judgment results, and response speed judgment results in real time to form a comprehensive 5G network communication assessment result;

[0031] Obtain the Beidou network communication quality assessment results, congestion assessment results and response speed judgment results in real time to form the Beidou network communication comprehensive assessment results;

[0032] Obtain the geographical location of the load, and formulate a network priority indicator based on the 5G network communication quality assessment results and the Beidou network communication quality assessment results; guide the load to select the corresponding communication network through the priority indicator;

[0033] The priority pointer includes the location information of the load, the dynamic priority, the 5G network communication quality evaluation result, the Beidou network communication quality evaluation result, the acquisition instruction and the switching instruction;

[0034] The acquisition instruction is used to acquire a 5G network pseudo-random noise code sequence and / or a Beidou network pseudo-random noise code sequence; the switching instruction is used to indicate the interface information or node information of the target network to which the load is about to switch.

[0035] Preferably, analyzing the user's communication mode and communication preference through a prediction model, predicting the user's communication needs at a future moment, and formulating a communication switching strategy includes the following steps:

[0036] Obtain historical load switching logs, 5G network communication comprehensive evaluation results, and Beidou network communication comprehensive evaluation results;

[0037] Extract multiple eigenvalues ​​from the load history switching log, 5G network communication comprehensive evaluation results, and Beidou network communication comprehensive evaluation results, and normalize the eigenvalues ​​to form an input eigenvalue set; input the input eigenvalue set into a preset prediction model, and output the communication demand at a future moment through the prediction model; specifically:

[0038] Extract features from the load history switching log, the 5G network communication comprehensive evaluation results, and the Beidou network communication comprehensive evaluation results: the switching time point, the 5G network signal strength at the switching time point, the Beidou network signal strength at the switching time point, and the user behavior at the switching time point, wherein the user behavior includes the length of use time and operation behavior;

[0039] Output the communication demand information at a future moment through the prediction model, the communication demand information includes: time information, signal strength information, and usage duration; the prediction model is a gradient boosting regression model;

[0040] Develop communication switching strategies based on the prediction model output.

[0041] Preferably, formulating a communication switching strategy according to the prediction model output comprises the following steps:

[0042] Obtain a network priority pointer, and extract the 5G network communication quality assessment results and the Beidou network communication quality assessment results from the network priority pointer;

[0043] Obtain the communication demand information at a future moment and extract the signal strength information; match the extracted signal strength information with the 5G network communication quality assessment results and Beidou network communication quality assessment results extracted from the network priority pointer; specifically:

[0044] If the signal strength information matches the 5G network communication quality assessment result, the 5G network is used for communication first; otherwise, the network is switched;

[0045] If the signal strength information matches the Beidou network communication quality assessment result, the Beidou network will be used for communication first, otherwise, network switching will be performed.

[0046] Preferably, the optimization of the formulated communication switching strategy based on the analysis of the pseudo-random noise code sequence of the 5G network and the pseudo-random noise code sequence of the Beidou network comprises the following steps:

[0047] Obtain the pseudo-random noise code sequence of the 5G network and the pseudo-random noise code sequence of the Beidou network;

[0048] Calculate the similarity between the pseudo-random noise code sequence and the pseudo-random noise code sequence of the Beidou network ;

[0049] by As the switching limit threshold; if network switching is required, obtain the pseudo-random noise code sequence of the target network and the pseudo-random noise code sequence of the network being used, and calculate the similarity between the pseudo-random noise code sequence of the target network and the pseudo-random noise code sequence of the network being used ;

[0050] if , the target network is judged to be a 5G network and network switching can be performed; otherwise, network switching is restricted.

[0051] The present invention also provides a single Beidou positioning intelligent switching management system based on 5G technology, and the system is used to execute the single Beidou positioning intelligent switching management method based on 5G technology.

[0052] The present invention also provides a computer-readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the single Beidou positioning intelligent switching management method based on 5G technology.

[0053] Beneficial effects of the present invention:

[0054] 1. The present invention, by analyzing the communication quality and load information of the 5G network and the Beidou system, formulates the communication switching quality, and optimizes the formulated communication switching strategy by analyzing the pseudo-random noise code sequence of the 5G network and the pseudo-random noise code sequence of the Beidou network, so as to avoid the Beidou network from switching to a non-5G network by mistake. Thereby optimizing the switching strategy and avoiding the failure of switching to a non-target network.

[0055] 2. The present invention sets a network priority pointer. If the user is located in a city, the 5G network has the highest priority. If the user is in the suburbs, the Beidou network has the highest priority. The network priority is reflected by adjusting the dynamic priority value. When switching networks, the corresponding network is selected according to the dynamic priority value to ensure the positioning quality in different areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 This is a flow chart of the single Beidou positioning intelligent switching management method based on 5G technology of the present invention. DETAILED DESCRIPTION

[0057] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art can think of other obvious variations. The basic principles of the present invention defined in the following description can be applied to other embodiments, variations, improvements, equivalents, and other technical solutions that do not deviate from the spirit and scope of the present invention.

[0058] It is to be understood that the term "one" should be understood as "at least one" or "one or more", that is, in one embodiment, the number of an element may be one, while in another embodiment, the number of the element may be multiple, and the term "one" should not be understood as a limitation on the quantity.

[0059] refer to Figure 1 The technical solution provided by the present invention is: a single Beidou positioning intelligent switching management method based on 5G technology, comprising the following steps:

[0060] 1. Obtain key signal parameters of the 5G network and the BeiDou system, and dynamically evaluate the communication quality of the 5G network and the BeiDou system; specifically, the following steps are included:

[0061] 1.1. Build a network information sharing platform to obtain communication data and status information of 5G network and Beidou system in real time.

[0062] 1.2. Extract the key signal parameters of the 5G network and the Beidou system from the communication data and status information respectively. The key signal parameters of the 5G network include signal strength, signal-to-noise ratio, uplink rate and downlink rate; the key signal parameters of the Beidou system include frequency accuracy, pseudorange, carrier-to-noise ratio, carrier phase, Doppler frequency shift, pseudo-random noise code sequence and navigation message.

[0063] 1.3. Obtain the pseudorange, carrier phase, and Doppler frequency shift data of the Beidou system; use a low-pass filter to filter the pseudorange, carrier phase, and Doppler frequency shift data.

[0064] 1.4. Calculate the standard deviation of pseudorange, carrier phase, and Doppler shift, and compare them with the preset pseudorange standard deviation threshold, carrier phase standard deviation threshold, and Doppler shift standard deviation threshold respectively; evaluate the communication quality of the Beidou network based on the comparison results; and output the communication quality evaluation result of the Beidou network. Specifically, if the standard deviations of pseudorange, carrier phase, and Doppler shift are all less than their corresponding thresholds, it is considered that the communication quality of the Beidou system is excellent and Beidou system positioning can be used.

[0065] 1.5. Obtain the reference signal receiving power, reference signal receiving quality and signal-to-noise ratio of the 5G network, compare the reference signal receiving power, reference signal receiving quality and signal-to-noise ratio with the receiving power threshold, receiving quality threshold and signal-to-noise ratio threshold respectively, evaluate the communication quality of the 5G network according to the comparison results, and output the communication quality evaluation result of the 5G network. Specifically, if the reference signal receiving power is greater than the receiving power threshold, it is considered that the signal receiving power meets the requirements; if the signal receiving quality, that is, the packet loss rate of the signal, is less than the receiving quality threshold (packet loss rate threshold), it is considered that the signal receiving quality meets the requirements; if the signal-to-noise ratio is greater than the signal-to-noise ratio threshold, it is considered that the signal quality meets the requirements; when all three conditions are met, the communication quality of the 5G network is considered to be excellent; if only two conditions are met, the communication quality of the 5G network is considered to be good; if only one or all of them are not met, the communication quality of the 5G network is considered to be poor. For the evaluation result of poor communication quality, it is necessary to switch the network, and the speed and accuracy of positioning through the 5G network cannot meet the requirements.

[0066] 2. Obtain the network load information of 5G network and BeiDou system, and judge the congestion level and response speed of the current 5G network and BeiDou system. The load information includes the number of users, data flow, node request data transmission volume and the geographical location of the load. Specifically, the following steps are included:

[0067] 2.1. Determine the congestion level and response speed of the 5G network, including:

[0068] Obtaining the load quantity and data flow information of the 5G network; extracting the key features of the 5G network from the load quantity and data flow information of the 5G network, wherein the key features of the 5G network include an average number of connections, a maximum number of connections, an average transmission rate, and an average delay;

[0069] The average number of connections, maximum number of connections, average transmission rate and average delay data are preprocessed and then input into the linear regression model. In the analysis, the congestion probability of the 5G network is output and the predicted value of response speed ;in, and are intercept one and intercept two, and are regression coefficient one and regression coefficient two, respectively. and are error term one and error term two respectively;

[0070] The predicted values ​​of congestion degree and response speed are compared with the preset congestion probability threshold. and response speed threshold 1 Compare;

[0071] if ,in, represents the probability error, , then the congestion level of the 5G network is judged to be low, otherwise the congestion level of the 5G network is considered to be high;

[0072] if ,in, Indicates the speed error, , the response speed of the 5G network is considered normal, otherwise the response speed of the 5G network is considered abnormal.

[0073] 2.2. Obtain the load information of the Beidou system network, including:

[0074] Extracting Beidou network key features from Beidou network load information, wherein the Beidou network key features include average number of requests, average request delay time, and request number variance;

[0075] The obtained Beidou network key features are preprocessed and then input into the linear regression model II. Output the congestion probability of the Beidou network and response speed prediction value ;in, They are intercept three, intercept four, regression coefficient three, regression coefficient four, error term three, and error term four;

[0076] The congestion probability and response speed prediction values ​​of the Beidou network are compared with the preset congestion probability threshold and response speed threshold 2 Compare;

[0077] if ,in, represents the probability error, , then the congestion level of the BeiDou network is judged to be low, otherwise it is considered that the congestion level of the BeiDou network is high;

[0078] if ,in, Indicates the speed error value 2, , then the response speed of the Beidou network is considered normal, otherwise it is considered that the response speed of the Beidou network is abnormal.

[0079] 3. Based on the evaluation and judgment results of the above two steps, the communication mode of the load is automatically switched in combination with the geographical location of the load, and the switching log, communication quality evaluation results, congestion level and response speed judgment results are sent to the cloud for storage. Specifically, the following steps are included: real-time acquisition of 5G network communication quality evaluation results, congestion level judgment results, and response speed judgment results to form a comprehensive evaluation result of 5G network communication;

[0080] Obtain the Beidou network communication quality assessment results, congestion assessment results and response speed judgment results in real time to form the Beidou network communication comprehensive assessment results;

[0081] Obtain the geographical location of the load, and formulate a network priority indicator based on the 5G network communication quality assessment results and the Beidou network communication quality assessment results; guide the load to select the corresponding communication network through the priority indicator;

[0082] The priority pointer includes the location information of the load, the dynamic priority, the 5G network communication quality evaluation result, the Beidou network communication quality evaluation result, the acquisition instruction and the switching instruction;

[0083] If the user is located in a city, the 5G network has the highest priority, because the 5G network has better coverage in the city and can fully utilize the low latency advantage of the 5G network; if the user is in the suburbs, the Beidou network has the highest priority, and the positioning function of the Beidou system can be fully utilized;

[0084] The priority of the network can be reflected by adjusting the value of the dynamic priority. For example, if the value of the dynamic priority is 1, it means that the 5G network has the highest priority. If the value of the dynamic priority is 2, it means that the Beidou network has the highest priority.

[0085] When switching networks, the corresponding network is selected based on the dynamic priority value to ensure the positioning quality of users in different areas.

[0086] The acquisition instruction is used to acquire the 5G network pseudo-random noise code sequence and / or the Beidou network pseudo-random noise code sequence; the switching instruction is used to indicate the interface information or node information of the target network to which the load is about to switch. This may be a 5G base station and a Beidou navigation and positioning base station, etc.

[0087] 4. Obtain the load historical switching log and communication quality evaluation, analyze the user's communication mode and communication preference through the prediction model, predict the user's communication needs at a certain moment in the future, and formulate a communication switching strategy; including the following steps:

[0088] Obtain historical load switching logs, 5G network communication comprehensive evaluation results, and Beidou network communication comprehensive evaluation results;

[0089] Extract multiple feature values ​​from the load history switching log, the 5G network communication comprehensive evaluation results, and the Beidou network communication comprehensive evaluation results, and normalize the feature values ​​to form an input feature value set; input the input feature value set into a preset prediction model, and output the communication demand at a future moment through the prediction model; specifically: extract features from the load history switching log, the 5G network communication comprehensive evaluation results, and the Beidou network communication comprehensive evaluation results: the switching time point, the 5G network signal strength at the switching time point, the Beidou network signal strength at the switching time point, and the user behavior at the switching time point, wherein the user behavior includes the length of use time and operation behavior;

[0090] The communication demand information at a future moment is output through the prediction model, and the communication demand information includes: time information, signal strength information, and usage duration; the prediction model is a gradient boosting regression model; and a communication switching strategy is formulated according to the output of the prediction model.

[0091] The process of switching strategy formulation is as follows:

[0092] Obtain a network priority pointer, and extract the 5G network communication quality assessment results and the Beidou network communication quality assessment results from the network priority pointer;

[0093] Obtain communication demand information at a future moment and extract signal strength information; match the extracted signal strength information with the 5G network communication quality assessment results and Beidou network communication quality assessment results extracted from the network priority pointer; specifically: if the signal strength information matches the 5G network communication quality assessment result, the 5G network is used for communication first; otherwise, the network is switched;

[0094] If the signal strength information matches the Beidou network communication quality assessment result, the Beidou network will be used for communication first, otherwise, network switching will be performed.

[0095] 5. Based on the analysis of the pseudo-random noise code sequence of the 5G network and the pseudo-random noise code sequence of the Beidou network, the formulated communication switching strategy is optimized to avoid the Beidou network from erroneously switching to a non-5G network.

[0096] Obtain the pseudo-random noise code sequence of the 5G network and the pseudo-random noise code sequence of the Beidou network; calculate the similarity between the pseudo-random noise code sequence and the pseudo-random noise code sequence of the Beidou network ;by as the limit switching threshold.

[0097] The pseudo-random noise code sequence used by the BeiDou satellite navigation system is the Gold code, which is generated by two m sequences through modulo-2 addition. The Zadoff-Chu sequence is used in the LTE system in the 4G system, which is a complex sequence based on unit roots. 5G NR (New Radio) uses the Gold code, which is similar to the BeiDou system.

[0098] Obtain the pseudo-random noise code sequence of the target network and the pseudo-random noise code sequence of the network being used, and calculate the similarity between the pseudo-random noise code sequence of the target network and the pseudo-random noise code sequence of the network being used ;

[0099] if , the target network is judged to be a 5G network and network switching can be performed; otherwise, network switching is restricted.

[0100] In this embodiment, the similarity between the pseudo-random noise code sequence of the 5G network and the Beidou system and the pseudo-random noise code sequence of the 4G system is calculated respectively, and the above threshold is used to determine whether the target network is a 5G network or a Beidou network. Thus, it is determined whether to switch. The load is only switched between the 5G network and the Beidou network, and will not switch to the 4G network.

[0101] The invention also provides a single Beidou positioning intelligent switching management system based on 5G technology, and the system is used to execute the single Beidou positioning intelligent switching management method based on 5G technology.

[0102] The present invention also provides a computer-readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the single Beidou positioning intelligent switching management method based on 5G technology.

[0103] In the embodiments disclosed in the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. The embodiments disclosed in the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part, and / or installed from a removable medium. When the computer program is executed by the central processing unit (CPU), the above functions defined in the method of the present application are executed. It should be noted that the computer-readable medium mentioned above in the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to, an electrical connection with one or more wire segments, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, electrical wire, optical cable, RF, etc., or any suitable combination of the foregoing.

[0104] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the boxes can also occur in a different order than the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0105] Those skilled in the art should understand that the embodiments of the present invention described above and shown in the accompanying drawings are only examples and do not limit the present invention. The objectives of the present invention have been fully and effectively achieved. The functions and structural principles of the present invention have been demonstrated and explained in the embodiments. Without departing from the principles, the implementation methods of the present invention may be subject to any changes or modifications.

Claims

1. A single Beidou positioning intelligent switching management method based on 5G technology, characterized in that: The method comprises: Step 1: Obtain key signal parameters of the 5G network and BeiDou system, and dynamically evaluate the communication quality of the 5G network and BeiDou system; Step 2: Obtain the network load information of the 5G network and the Beidou system to determine the congestion level and response speed of the current 5G network and the Beidou system; the load information includes the number of users, data traffic, node request data transmission volume and the geographical location of the load; Step 3: Based on the evaluation and judgment results of steps 1 and 2, the communication mode of the load is automatically switched in combination with the geographical location of the load, and the switching log, the evaluation results of the communication quality, the congestion level and the judgment results of the response speed are sent to the cloud storage; Step 4: Obtain the load switching history log and communication quality evaluation, analyze the user's communication mode and communication preference through the prediction model, predict the user's communication needs at a certain moment in the future, and formulate a communication switching strategy; Step 5: Based on the analysis of the pseudo-random noise code sequence of the 5G network and the pseudo-random noise code sequence of the Beidou network, optimize the formulated communication switching strategy to avoid the Beidou network from erroneously switching to a non-5G network.

2. The single Beidou positioning intelligent switching management method based on 5G technology according to claim 1 is characterized in that: The step of obtaining the key signal parameters of the 5G network and the BeiDou system includes the following steps: Build a network information sharing platform to obtain communication data and status information of 5G network and Beidou system in real time; The key signal parameters of the 5G network and the Beidou system are respectively extracted from the communication data and status information. The key signal parameters of the 5G network include signal strength, signal-to-noise ratio, uplink rate and downlink rate; the key signal parameters of the Beidou system include frequency accuracy, pseudorange, carrier-to-noise ratio, carrier phase, Doppler frequency shift, pseudo-random noise code sequence and navigation message.

3. The single Beidou positioning intelligent switching management method based on 5G technology according to claim 2 is characterized in that: The dynamic evaluation of the communication quality of the 5G network and the BeiDou system includes the following steps: Obtain pseudorange, carrier phase, and Doppler shift data of the Beidou system; The pseudorange, carrier phase, and Doppler shift data are filtered using a low-pass filter; Calculate the standard deviation of pseudorange, carrier phase, and Doppler frequency shift, and compare them with the preset pseudorange standard deviation threshold, carrier phase standard deviation threshold, and Doppler frequency shift standard deviation threshold, respectively; Evaluate the communication quality of the Beidou network according to the comparison result; and output the communication quality evaluation result of the Beidou network; Obtain the reference signal received power, reference signal received quality and signal-to-noise ratio of the 5G network, compare the reference signal received power, reference signal received quality and signal-to-noise ratio with the received power threshold, the received quality threshold and the signal-to-noise ratio threshold respectively, evaluate the communication quality of the 5G network according to the comparison results, and output the communication quality evaluation result of the 5G network.

4. The single Beidou positioning intelligent switching management method based on 5G technology according to claim 3 is characterized in that: The obtaining of the network load information of the 5G network and the BeiDou system and judging the congestion degree and response speed of the current 5G network and the BeiDou system comprises the following steps: Determining the congestion level and response speed of the 5G network includes the following sub-steps: Obtain the load quantity and data flow information of 5G network; Extracting key features of the 5G network from the load quantity and data flow information of the 5G network, wherein the key features of the 5G network include an average number of connections, a maximum number of connections, an average transmission rate, and an average delay; Preprocess the obtained average number of connections, maximum number of connections, average transmission rate, and average delay data, and obtain the predicted values ​​of the congestion probability and response speed of the 5G network through linear regression analysis; The predicted values ​​of the congestion degree and the response speed are compared with the preset congestion probability threshold 1 and the response speed threshold 1 respectively to determine the congestion degree and the response speed of the 5G network; Determining the congestion level and response speed of the BeiDou system includes the following sub-steps: Obtain the load information of the Beidou system network; Extracting Beidou network key features from Beidou network load information, wherein the Beidou network key features include average number of requests, average request delay time, and request number variance; The key features of the BeiDou network are preprocessed, and then linear regression analysis is performed to obtain the congestion probability and response speed prediction values ​​of the BeiDou network; The congestion probability and response speed prediction values ​​of the Beidou network are compared with the preset congestion probability threshold 2 and response speed threshold 2 respectively to determine the congestion degree and response speed of the Beidou network.

5. The single Beidou positioning intelligent switching management method based on 5G technology according to claim 4 is characterized in that: The method of automatically switching the communication mode of the load based on the evaluation and judgment results of the above two steps and the geographical location of the load comprises the following steps: Obtain the 5G network communication quality assessment results, congestion level judgment results, and response speed judgment results in real time to form a comprehensive 5G network communication assessment result; Obtain the Beidou network communication quality assessment results, congestion assessment results and response speed judgment results in real time to form the Beidou network communication comprehensive assessment results; Obtain the geographical location of the load, and formulate a network priority indicator based on the 5G network communication quality assessment results and the Beidou network communication quality assessment results; guide the load to select the corresponding communication network through the priority indicator; The priority pointer includes the location information of the load, the dynamic priority, the 5G network communication quality evaluation result, the Beidou network communication quality evaluation result, the acquisition instruction and the switching instruction; The acquisition instruction is used to acquire a 5G network pseudo-random noise code sequence and / or a Beidou network pseudo-random noise code sequence; the switching instruction is used to indicate the interface information or node information of the target network to which the load is about to switch.

6. The single Beidou positioning intelligent switching management method based on 5G technology according to claim 5 is characterized in that: The method of analyzing the user's communication mode and communication preference through the prediction model, predicting the user's communication needs at a certain moment in the future, and formulating a communication switching strategy includes the following steps: Obtain historical load switching logs, 5G network communication comprehensive evaluation results, and Beidou network communication comprehensive evaluation results; Extract multiple eigenvalues ​​from the load history switching log, 5G network communication comprehensive evaluation results, and Beidou network communication comprehensive evaluation results, and normalize the eigenvalues ​​to form an input eigenvalue set; input the input eigenvalue set into a preset prediction model, and output the communication demand at a future moment through the prediction model; specifically: Extract features from the load history switching log, the 5G network communication comprehensive evaluation results, and the Beidou network communication comprehensive evaluation results: the switching time point, the 5G network signal strength at the switching time point, the Beidou network signal strength at the switching time point, and the user behavior at the switching time point, wherein the user behavior includes the length of use time and operation behavior; Output the communication demand information at a future moment through the prediction model, the communication demand information includes: time information, signal strength information, and usage duration; the prediction model is a gradient boosting regression model; Develop communication switching strategies based on the prediction model output.

7. The single Beidou positioning intelligent switching management method based on 5G technology according to claim 6 is characterized in that: The method of formulating a communication switching strategy according to the prediction model output includes the following steps: Obtain a network priority pointer, and extract the 5G network communication quality assessment results and the Beidou network communication quality assessment results from the network priority pointer; Obtain communication demand information at a future moment and extract signal strength information; The extracted signal strength information is matched with the 5G network communication quality evaluation results and Beidou network communication quality evaluation results extracted from the network priority pointer; specifically: If the signal strength information matches the 5G network communication quality assessment result, the 5G network is used for communication first; otherwise, the network is switched; If the signal strength information matches the Beidou network communication quality assessment result, the Beidou network will be used for communication first, otherwise, network switching will be performed.

8. The single Beidou positioning intelligent switching management method based on 5G technology according to claim 7 is characterized in that: The method of optimizing the communication switching strategy based on the analysis of the pseudo-random noise code sequence of the 5G network and the pseudo-random noise code sequence of the Beidou network includes the following steps: Obtain the pseudo-random noise code sequence of the 5G network and the pseudo-random noise code sequence of the Beidou network; Calculate the similarity between the pseudo-random noise code sequence and the pseudo-random noise code sequence of the Beidou network ; by As a limit switching threshold; If network switching is required, obtain the pseudo-random noise code sequence of the target network and the pseudo-random noise code sequence of the network being used, and calculate the similarity between the pseudo-random noise code sequence of the target network and the pseudo-random noise code sequence of the network being used. ; if , the target network is judged to be a 5G network and network switching can be performed; otherwise, network switching is restricted.

9. Single Beidou positioning intelligent switching management system based on 5G technology, characterized in that: The system is used to execute the single Beidou positioning intelligent switching management method based on 5G technology as described in any one of claims 1-8 above.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement the single Beidou positioning intelligent switching management method based on 5G technology as described in any one of claims 1-8.

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