Vehicle transportation management system based on Beidou positioning

Abstract

The invention discloses a vehicle transportation management system based on Beidou positioning, which belongs to the technical field of vehicle transportation and comprises a Beidou positioning module, a data processing module, a multi-source heterogeneous data fusion module, a vehicle state monitoring module, a data analysis module, a transportation route planning module, a transportation route optimization module and a data report generation module. Through the high-precision positioning function of the Beidou positioning module and in combination with the error correction technology, more accurate vehicle position information can be provided, the accuracy and reliability of transportation are improved, the received data including satellite orbit errors, atmospheric delay errors and the like are processed, the positioning accuracy is further improved, and the positioning accuracy is improved. A comprehensive vehicle running state view is formed by combining Beidou positioning information with a vehicle sensor and an external data source, so that information from different data sources can be compared and analyzed on a common time axis, and the accuracy and effectiveness of data analysis are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of vehicle transportation, and specifically refers to a vehicle transportation management system based on Beidou positioning. Background Art

[0002] Most of the current vehicle transportation management systems on the market rely on GPS for positioning services, but there are limitations in their regional coverage and service quality. In addition, there is still room for improvement in the existing systems in aspects such as data analysis and route planning, especially in terms of accuracy and response speed in complex environments;

[0003] However, there are still certain defects in the existing vehicle transportation management systems. The existing vehicle transportation management systems lack an effective mechanism to integrate data from different sources, resulting in an inability to form a comprehensive view of the vehicle operation status. Relying solely on GPS for positioning, there are limitations in its regional coverage and service quality, especially in complex terrains. The static route planning method lacks the ability to dynamically adjust the route according to factors such as real-time road conditions and weather changes, and it is difficult to adapt to the rapidly changing traffic environment. Therefore, a vehicle transportation management system based on Beidou positioning is proposed. Summary of the Invention

[0004] The purpose of the present invention is to provide a vehicle transportation management system based on Beidou positioning to solve the problems mentioned in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solution: A vehicle transportation management system based on Beidou positioning, including a Beidou positioning module, a data processing module, a multi-source heterogeneous data fusion module, a vehicle status monitoring module, a data analysis module, a transportation route planning module, a transportation route optimization module, and a data report generation module;

[0006] The Beidou positioning module is used to obtain vehicle position information in real time;

[0007] The data processing module is used to receive data from the Beidou positioning module and preprocess it;

[0008] The multi-source heterogeneous data fusion module is used to integrate the preprocessed Beidou positioning data, vehicle sensors, and data from external data sources to form a unified view of the vehicle operation status;

[0009] The vehicle status monitoring module is used to monitor the real-time status of the vehicle according to the fused data;

[0010] The data analysis module is used to analyze the vehicle operation status evaluation and abnormal behavior identification according to the vehicle status monitoring module and the fused vehicle operation status view;

[0011] The transportation route planning module is used to plan the optimal transportation route according to the vehicle's current location, destination, road conditions, and vehicle status information;

[0012] The transportation route optimization module is used to dynamically adjust the transportation route according to real-time data;

[0013] The data report generation module is used to display various data and analysis results collected in the system in the form of reports.

[0014] Among them, the Beidou positioning module is used to obtain the vehicle position information in real time. It turns on the Beidou receiver, sets the working mode, data update frequency, and output data format of the receiver. The receiver starts to search for Beidou satellite signals, identifies visible satellites, locks the Beidou satellites and continuously tracks the captured satellite signals, receives signals from Beidou satellites, including navigation messages and pseudorange measurement data, demodulates and decodes the received signals, extracts satellite ephemeris data, time information, and pseudorange measurement values, checks the received data, calculates the three-dimensional position of the vehicle by the least squares method according to the received pseudorange data and satellite information, corrects the local time of the receiver through the satellite time information, corrects the positioning result for errors, including satellite orbit error and atmospheric delay error, converts the calculated position information format, and transmits the position information to the data processing module through the communication interface.

[0015] Among them, the data processing module is used to receive the data from the Beidou positioning module and preprocess it; receive the Beidou positioning module data, identify the data format output by the Beidou positioning module, and configure the corresponding parsing rules, receive the position data transmitted by the Beidou positioning module in real time, parse the received data according to the predefined format rules, extract key information, decompose the parsed data into independent fields and perform format conversion, perform data cleaning, data verification, and data conversion after data parsing, temporarily store the processed data in memory, and synchronize the processed data to the multi-source heterogeneous data fusion module in real time.

[0016] Among them, the multi-source heterogeneous data fusion module is used to integrate the preprocessed Beidou positioning data, vehicle sensors, and data from external data sources to form a unified view of the vehicle operation status; obtain the preprocessed Beidou positioning data, vehicle sensors, and data from external data sources, identify the type and format of each data source, unify the timestamps of different source data to the same time reference, extract key features from each data source and assign weights, and integrate the data from different sources through weighted averaging to generate a unified view of the vehicle operation status.

[0017] Among them, the vehicle status monitoring module is used to monitor the real-time status of the vehicle according to the fused data; obtain the fused data and update the vehicle status indicators in real time, define various abnormal states according to the normal operation range of the vehicle, monitor the vehicle status in real time, and when an abnormal state is detected, immediately trigger the warning mechanism and generate a report containing the real-time status information of the vehicle, and store the generated report in the database.

[0018] Among them, the data analysis module is used to analyze the vehicle operation status evaluation and abnormal behavior recognition according to the vehicle status monitoring module and the fused vehicle operation status view; obtain the latest vehicle operation status data from the vehicle status monitoring module and the multi-source heterogeneous data fusion module, extract the key features of status evaluation and abnormal detection from the data, and set the change amount Δv of the speed within a given time interval Δt. The acceleration implementation formula is:

[0019]

[0020] The average value of all speed measurement values within a driving time period, the implementation formula is:

[0021]

[0022] In the formula, represents the average speed, m represents the number of speed measurements, and v i represents the i-th speed measurement value.

[0023] Among them, the data analysis module determines the vehicle operation mode under normal operating conditions by analyzing historical data, sets reasonable baselines for each key indicator, sets warning values for each indicator, and when the range is exceeded, it is regarded as abnormal behavior. It analyzes the incoming data stream in real time through stream processing, compares the current data with the preset baseline, evaluates the overall operation status of the vehicle, judges whether it is under ideal working conditions, detects obvious abnormal behaviors according to predefined rules, and identifies abnormal behaviors in complex modes through unsupervised learning algorithms.

[0024] Among them, the transportation route planning module is used to plan the optimal transportation route according to the vehicle's current location, destination, road conditions, and vehicle status information; obtain the vehicle's current precise location in real time, receive the destination coordinates input by the user, obtain real-time road condition data through the traffic information system, and obtain the vehicle's status information from the vehicle status monitoring module; integrate the above data into a unified data structure, construct a road network model based on map data, including nodes and edges, set weight parameters for each edge in the road network, calculate an initial optimal route according to the vehicle's current location and destination through the genetic algorithm, calculate the total distance of the route, evaluate the estimated time to complete the transportation task according to the road condition information and vehicle status information, evaluate the fuel or power consumption required to complete the route according to the vehicle status information, and check whether the route complies with traffic rules and vehicle restrictions.

[0025] Among them, the transportation route optimization module is used to dynamically adjust the transportation route according to real-time data; obtain the latest road condition information in real time, including but not limited to road congestion, accident reports, and construction notices, obtain the latest weather forecast information for the destination and along the way, re-evaluate the feasibility and efficiency of the original route according to the latest real-time data, calculate the changes in key indicators such as the estimated arrival time, fuel consumption, or power consumption, generate several alternative routes through the path planning algorithm according to the new traffic and weather conditions, and conduct a detailed evaluation of each route, including but not limited to the driving distance, estimated travel time, and potential risk factors. After comprehensively considering all relevant factors, evaluate an optimal new route, and send the newly selected route to the in-vehicle navigation system. During the transportation process, monitor the vehicle's driving status and route execution in real time.

[0026] Among them, the data report generation module is used to display various data and analysis results collected in the system in the form of reports; receive data from each module for preprocessing, fill the processed data into the report template, generate the final report according to the report template and data, and output the generated report in a specified format.

[0027] Compared with the prior art, the beneficial effects of the present invention are:

[0028] 1. Through the high-precision positioning function of the Beidou positioning module and the combination of error correction technology, the present invention can provide more accurate vehicle position information, improve the accuracy and reliability of transportation, and further improve the positioning accuracy by processing the received data, including satellite orbit error, atmospheric delay error, etc.;

[0029] 2. By combining Beidou positioning information with vehicle sensors and external data sources, the present invention forms a comprehensive view of the vehicle's operating status, ensuring that information from different data sources can be compared and analyzed on a common time axis, improving the accuracy and effectiveness of data analysis;

[0030] 3. The data analysis module of the present invention uses intelligent algorithms to evaluate the vehicle operation status and identify abnormal behaviors, which can discover potential problems in advance, optimize the vehicle operation efficiency. The transportation route planning module and the transportation route optimization module can dynamically adjust the transportation route according to real-time data, optimize the transportation path, reduce transportation time and costs, and improve transportation efficiency;

[0031] 4. The data report generation module of the present invention can display various data and analysis results collected in the system in the form of reports, which is convenient for management personnel to view and make decisions, and improves management efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a schematic structural diagram of the vehicle transportation management system based on Beidou positioning of the present invention;

[0033] Figure 2 It is the operation process of the vehicle transportation management system based on Beidou positioning of the present invention Figure 1 ;

[0034] Figure 3 It is the operation process of the vehicle transportation management system based on Beidou positioning of the present invention Figure 2 . DETAILED DESCRIPTION OF THE EMBODIMENTS

[0035] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0036] Embodiment

[0037] Please refer to Figures 1 - 3 as shown, the present invention provides a technical solution: including a Beidou positioning module, a data processing module, a multi-source heterogeneous data fusion module, a vehicle status monitoring module, a data analysis module, a transportation route planning module, a transportation route optimization module, and a data report generation module;

[0038] The Beidou positioning module is used to obtain vehicle position information in real time;

[0039] The data processing module is used to receive data from the Beidou positioning module and preprocess it;

[0040] The multi-source heterogeneous data fusion module is used to integrate the preprocessed Beidou positioning data, vehicle sensors, and data from external data sources to form a unified vehicle operation status view;

[0041] The vehicle status monitoring module is used to monitor the real-time status of the vehicle according to the fused data;

[0042] The data analysis module is used to analyze the vehicle operation status evaluation and abnormal behavior identification according to the vehicle status monitoring module and the fused vehicle operation status view;

[0043] The transportation route planning module is used to plan the optimal transportation route according to the current location, destination, road conditions and vehicle status information of the vehicle;

[0044] The transportation route optimization module is used to dynamically adjust the transportation route according to the real-time data;

[0045] The data report generation module is used to display various data and analysis results collected in the system in the form of reports.

[0046] Among them, the Beidou positioning module is used to obtain the vehicle position information in real time, turn on the Beidou receiver, set the working mode, data update frequency and output data format of the receiver, the receiver starts to search for Beidou satellite signals, identify visible satellites, lock the Beidou satellites and continuously track the captured satellite signals, receive signals from the Beidou satellites, including navigation messages and pseudorange measurement data, demodulate and decode the received signals, extract the ephemeris data, time information and pseudorange measurement values of the satellites, check the received data, calculate the three-dimensional position of the vehicle by the least squares method according to the received pseudorange data and satellite information, correct the local time of the receiver through the time information of the satellites, correct the positioning result for errors, including satellite orbit error and atmospheric delay error, convert the calculated position information format, and transmit the position information to the data processing module through the communication interface.

[0047] Among them, the data processing module is used to receive the data from the Beidou positioning module and preprocess it; receive the Beidou positioning module data, identify the data format output by the Beidou positioning module, and configure the corresponding parsing rules, receive the position data transmitted by the Beidou positioning module in real time, parse the received data according to the predefined format rules, extract the key information, decompose the parsed data into independent fields and perform format conversion, perform data cleaning, data verification and data conversion after data parsing, temporarily store the processed data in the memory, and synchronize the processed data to the multi-source heterogeneous data fusion module in real time.

[0048] Among them, the multi-source heterogeneous data fusion module is used to integrate the pre-processed Beidou positioning data, vehicle sensors, and data from external data sources to form a unified view of the vehicle's operating status; obtain the pre-processed Beidou positioning data, vehicle sensors, and data from external data sources, identify the type and format of each data source, unify the timestamps of data from different sources to the same time benchmark, extract key features from each data source and assign weights, and integrate the data from different sources through weighted averaging to generate a unified view of the vehicle's operating status.

[0049] Among them, the vehicle status monitoring module is used to monitor the real-time status of the vehicle according to the fused data; obtain the fused data and update the vehicle's status indicators in real time, define various abnormal states according to the normal operating range of the vehicle, monitor the vehicle status in real time, when an abnormal state is detected, immediately trigger the warning mechanism, and generate a report containing the real-time status information of the vehicle, and store the generated report in the database.

[0050] Among them, the data analysis module is used to analyze the vehicle operating status evaluation and abnormal behavior identification according to the vehicle status monitoring module and the fused vehicle operating status view; obtain the latest vehicle operating status data from the vehicle status monitoring module and the multi-source heterogeneous data fusion module, extract the key features for status evaluation and abnormal detection from the data, and set the change amount Δv of the speed within a given time interval Δt. The acceleration implementation formula is:

[0051]

[0052] The average value of all speed measurement values within a driving time, and the implementation formula is:

[0053]

[0054] In the formula, represents the average speed, m represents the number of speed measurements, and v i represents the i-th speed measurement value.

[0055] Among them, the data analysis module determines the vehicle operating mode under normal operating conditions by analyzing historical data, sets reasonable baselines for each key indicator, sets warning values for each indicator, and when the range is exceeded, it is regarded as abnormal behavior. It analyzes the incoming data stream in real time through stream processing, compares the current data with the preset baseline, evaluates the overall operating status of the vehicle, judges whether it is under ideal working conditions, detects obvious abnormal behaviors according to predefined rules, and identifies abnormal behaviors in complex modes through unsupervised learning algorithms.

[0056] Among them, the transportation route planning module is used to plan the optimal transportation route according to the vehicle's current location, destination, road conditions and vehicle status information; obtain the vehicle's current precise location in real time, receive the destination coordinates input by the user, obtain the real-time road condition data through the traffic information system, and obtain the vehicle's status information from the vehicle status monitoring module; integrate the above data into a unified data structure, construct a road network model according to the map data, including nodes and edges, set weight parameters for each edge in the road network, calculate an initial optimal route through the genetic algorithm according to the vehicle's current location and destination, calculate the total distance of the route, evaluate the estimated time to complete the transportation task according to the road condition information and vehicle status information, evaluate the fuel or power consumption required to complete the route according to the vehicle status information, and check whether the route complies with traffic rules and vehicle restrictions.

[0057] Among them, the transportation route optimization module is used to dynamically adjust the transportation route according to real-time data; obtain the latest road condition information in real time, including but not limited to road congestion, accident reports and construction notices, obtain the latest weather forecast information of the destination and along the way, re-evaluate the feasibility and efficiency of the original route according to the latest real-time data, calculate the changes in key indicators such as the estimated arrival time, fuel consumption or power consumption, generate several alternative routes through the path planning algorithm according to the new traffic and weather conditions, and conduct a detailed evaluation of each route, including but not limited to the driving distance, estimated time consumption and potential risk factors, evaluate an optimal new route after comprehensively considering all relevant factors, and send the newly selected route to the in-vehicle navigation system. During the transportation process, monitor the vehicle's driving status and route execution in real time.

[0058] Among them, the data report generation module is used to display various data and analysis results collected in the system in the form of reports; receive data from each module for preprocessing, fill the processed data into the report template, generate the final report according to the report template and data, and output the generated report in a specified format.

[0059] Working principle: By turning on the Beidou receiver, setting the working mode, data update frequency, and output data format of the receiver, searching for Beidou satellite signals, identifying visible satellites, locking and continuously tracking satellite signals, receiving signals from Beidou satellites, including navigation messages and pseudorange measurement data, demodulating and decoding them, extracting ephemeris data, time information, and pseudorange measurement values of the satellites, calculating the three-dimensional position of the vehicle by the least squares method, correcting the local time of the receiver, performing error correction, converting the calculated position information into the format required by the system, and transmitting it to the data processing module through the communication interface. The data processing module receives the data from the Beidou positioning module and identifies its format, and configures the corresponding parsing rules. It receives the position data transmitted by the Beidou positioning module in real time, parses the data according to the predefined format rules, and extracts key information. The parsed data is decomposed into independent fields and undergoes format conversion, followed by data cleaning, verification, and conversion. The processed data is temporarily stored in memory and synchronously updated to the multi-source heterogeneous data fusion module in real time; the multi-source heterogeneous data fusion module integrates the preprocessed Beidou positioning data, vehicle sensor data, and data from external data sources. First, it identifies the type and format of each data source, and unifies the timestamps of data from different sources to the same time reference. Then, it extracts key features from each data source and assigns weights, and integrates the data from different sources through methods such as weighted average to generate a unified view of the vehicle's operating status. The vehicle status monitoring module monitors the real-time status of the vehicle based on the fused data, obtains the fused data and updates the vehicle's status indicators in real time, defines various abnormal states according to the normal operating range of the vehicle, triggers the warning mechanism immediately when an abnormal state is detected, and generates a report containing the real-time status information of the vehicle, which is stored in the database for subsequent analysis. The data analysis module obtains the latest vehicle operating status data from the vehicle status monitoring module and the multi-source heterogeneous data fusion module, and extracts the key features for status evaluation and anomaly detection. By analyzing historical data, it determines the vehicle's operating mode under normal operating conditions, sets the baseline and warning values for each key indicator. When it exceeds the preset range, it is regarded as abnormal behavior. It also uses stream processing technology to analyze the incoming data stream in real time, compares the current data with the preset baseline, evaluates the overall operating status of the vehicle, determines whether it is under ideal working conditions, and uses predefined rules or unsupervised learning algorithms to identify abnormal behavior in complex patterns. The transportation route planning module integrates multi-source data, constructs a road network model, uses genetic algorithms, etc. to calculate the optimal route, obtains the latest road conditions and weather information, re-evaluates the original route, generates and evaluates alternative routes, selects the optimal solution, and generates the final report according to the obtained preprocessed data and fills it into the template.

[0060] Although embodiments of the present invention have been shown and described, those of ordinary skill in the art will appreciate that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

[0061] The above describes the present invention and its embodiments. Such description is not restrictive. What is shown in the drawings is only one of the embodiments of the present invention, and the actual structure is not limited thereto. In summary, if those of ordinary skill in the art are inspired by it and, without departing from the purpose of the present invention, design similar structural forms and embodiments to this technical solution without creative efforts, they shall fall within the protection scope of the present invention.

Claims

1. A vehicle transportation management system based on Beidou positioning, characterized in that: It includes a Beidou positioning module, a data processing module, a multi-source heterogeneous data fusion module, a vehicle status monitoring module, a data analysis module, a transportation route planning module, a transportation route optimization module, and a data report generation module; The Beidou positioning module is used to obtain vehicle position information in real time; The data processing module is used to receive data from the Beidou positioning module and preprocess it; The multi-source heterogeneous data fusion module is used to integrate the preprocessed Beidou positioning data, vehicle sensors, and data from external data sources to form a unified vehicle operation status view; The vehicle status monitoring module is used to monitor the real-time status of the vehicle according to the fused data; The data analysis module is used to analyze the vehicle operation status evaluation and identify abnormal behaviors based on the vehicle status monitoring module and the fused vehicle operation status view; The transportation route planning module is used to plan the optimal transportation route according to the vehicle's current position, destination, road conditions, and vehicle status information; The transportation route optimization module is used to dynamically adjust the transportation route according to real-time data; The data report generation module is used to display various data and analysis results collected in the system in the form of reports.

2. The vehicle transportation management system based on Beidou positioning according to claim 1, wherein: The Beidou positioning module is used to obtain vehicle position information in real time, turn on the Beidou receiver, set the working mode, data update frequency, and output data format of the receiver, the receiver starts to search for Beidou satellite signals, identify visible satellites, lock the Beidou satellites and continuously track the captured satellite signals, receive signals from the Beidou satellites, including navigation messages and pseudorange measurement data, demodulate and decode the received signals, extract the ephemeris data, time information, and pseudorange measurement values of the satellites, check the received data, calculate the three-dimensional position of the vehicle by the least squares method according to the received pseudorange data and satellite information, correct the local time of the receiver through the satellite time information, correct the positioning result for errors, including satellite orbit error and atmospheric delay error, convert the calculated position information format, and transmit the position information to the data processing module through the communication interface.

3. The vehicle transportation management system based on Beidou positioning according to claim 1, characterized in that: The data processing module is used to receive data from the Beidou positioning module and preprocess it; receive Beidou positioning module data, identify the data format output by the Beidou positioning module, and configure corresponding parsing rules, receive the position data transmitted by the Beidou positioning module in real time, parse the received data according to the predefined format rules, extract key information, decompose the parsed data into independent fields and perform format conversion, perform data cleaning, data verification, and data conversion after data parsing, temporarily store the processed data in memory, and synchronize the processed data to the multi-source heterogeneous data fusion module in real time.

4. The vehicle transportation management system based on Beidou positioning according to claim 1, characterized in that: The multi-source heterogeneous data fusion module is used to integrate the preprocessed Beidou positioning data, vehicle sensors, and data from external data sources to form a unified vehicle operation status view; Obtain the preprocessed Beidou positioning data, vehicle sensor data, and data from external data sources. Identify the type and format of each data source, unify the timestamps of data from different sources to the same time benchmark, extract key features from each data source and assign weights, and integrate the data from different sources through weighted averaging to generate a unified vehicle operation status view.

5. The vehicle transportation management system based on Beidou positioning according to claim 1, characterized in that: The vehicle status monitoring module is used to monitor the real-time status of the vehicle based on the fused data; obtain the fused data and update the vehicle's status indicators in real time. Define various abnormal states according to the normal operation range of the vehicle, monitor the vehicle status in real time, trigger the warning mechanism immediately when an abnormal state is detected, generate a report containing the vehicle's real-time status information, and store the generated report in the database.

6. The vehicle transportation management system based on Beidou positioning according to claim 1, wherein: The data analysis module is used to analyze the vehicle operation status evaluation and abnormal behavior identification based on the vehicle status monitoring module and the fused vehicle operation status view. Obtain the latest vehicle operation status data from the vehicle status monitoring module and the multi-source heterogeneous data fusion module, extract the key features for status evaluation and abnormal detection from the data. Let the change in speed within a given time interval Δt be Δv, and the acceleration implementation formula: The average value of all speed measurement values within a certain driving time, the implementation formula: In the formula, represents the average speed, m represents the number of speed measurements, and v i represents the measured value of the i-th speed.

7. The vehicle transportation management system based on Beidou positioning according to claim 6, characterized in that: The data analysis module determines the vehicle operation mode under normal operating conditions by analyzing historical data, sets reasonable baselines for each key indicator, sets warning values for each indicator, and regards it as abnormal behavior when it exceeds the range. Analyze the incoming data stream in real time through stream processing, compare the current data with the preset baseline, evaluate the overall operation status of the vehicle, judge whether it is under ideal working conditions, detect obvious abnormal behaviors according to predefined rules, and identify abnormal behaviors in complex patterns through unsupervised learning algorithms.

8. The vehicle transportation management system based on Beidou positioning according to claim 1, wherein: The transportation route planning module is used to plan the optimal transportation route according to the vehicle's current location, destination, road conditions, and vehicle status information; obtain the vehicle's current precise location in real time, receive the destination coordinates input by the user, obtain the real-time road condition data through the traffic information system, and obtain the vehicle's status information from the vehicle status monitoring module; integrate the above data into a unified data structure, construct a road network model according to the map data, including nodes and edges, set weight parameters for each edge in the road network, calculate an initial optimal route through the genetic algorithm according to the vehicle's current location and destination, calculate the total distance of the route, evaluate the estimated time required to complete the transportation task according to the road condition information and vehicle status information, evaluate the fuel or power consumption required to complete the route according to the vehicle status information, and check whether the route complies with traffic rules and vehicle restrictions.

9. The vehicle transportation management system based on Beidou positioning according to claim 1, characterized in that: The transportation route optimization module is used to dynamically adjust the transportation route according to real-time data; obtain the latest road conditions in real time, including but not limited to road congestion, accident reports, and construction notices, obtain the latest weather forecast information for the destination and along the way, re-evaluate the feasibility and efficiency of the original route based on the latest real-time data, calculate changes in key indicators such as estimated arrival time, fuel consumption, or power consumption, generate several alternative routes through a path planning algorithm according to the new traffic and weather conditions, and conduct a detailed evaluation of each route, including but not limited to driving distance, estimated travel time, and potential risk factors. After comprehensively considering all relevant factors, evaluate an optimal new route and send the newly selected route to the in-vehicle navigation system. During the transportation process, monitor the driving status and route execution of the vehicle in real time.

10. The vehicle transportation management system based on Beidou positioning according to claim 1, characterized in that: The data report generation module is used to display various data and analysis results collected in the system in the form of reports; Receive data from each module for preprocessing, fill the processed data into the report template, generate the final report according to the report template and data, and output the generated report in a specified format.

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