Foundation augmentation system based on Beidou system

Abstract

The invention relates to a ground-based augmentation system based on a Beidou system. The ground-based augmentation system is an integrated high-precision positioning system. According to the system, Beidou satellite signals are received through the ground-based augmentation base station, and real-time and high-precision differential data are generated. And the data processing system processes data by using a network RTK technology and provides high-quality differential positioning information. Through a communication network and a data broadcasting system, the high-precision data are rapidly and accurately transmitted to a user terminal, pseudo-range difference / carrier phase difference decomposition calculation is realized, and thus accurate position information is obtained. The system has the advantages of high real-time performance, high positioning precision, wide coverage range and the like, can meet various high-precision positioning requirements, and provides reliable support for various application scenes.

Description

Technical Field

[0001] The present invention relates to the technical field of navigation systems, and in particular to a ground-based augmentation system based on the Beidou system. Background Art

[0002] The background technology of the ground-based augmentation system based on the Beidou system mainly comes from the continuous development of modern navigation and positioning technology and the growing application demand. With the continuous advancement of science and technology, high-precision positioning technology has become an indispensable part of modern society and is widely used in professional fields such as surveying and mapping, monitoring and control, precision agriculture, aviation and navigation, as well as public fields such as traffic navigation, tourism, and emergency rescue.

[0003] Although traditional satellite navigation systems provide certain positioning services to users around the world, their positioning accuracy and stability are limited in certain specific environments, such as urban canyons and forested areas. Summary of the invention

[0004] In view of the above situation, it is necessary to provide a ground-based augmentation system based on the Beidou system that solves at least one of the above problems, including a ground-based augmentation reference station, a communication network, a data processing system and a data broadcasting system;

[0005] The ground-based enhanced reference station: each station is equipped with observation equipment, data transmission equipment, power supply equipment, lightning protection equipment and video status monitoring equipment, which are used to receive Beidou satellite signals and generate real-time, high-precision differential data;

[0006] The communication network is used to connect the ground-based augmentation reference station, the data processing center and the data broadcasting system;

[0007] The data processing system is used to receive the real-time data sent by the ground-based augmented reference station, decode, store, process and analyze it. The data processing system uses network RTK data processing technology to generate differential positioning data and provide it to the data broadcasting system;

[0008] The data broadcasting system is used to broadcast the high-precision differential products generated by the data processing system to the user terminal, and the user terminal uses the differential positioning data to perform pseudo-range differential / carrier phase differential calculation to obtain position information.

[0009] Preferably, the ground-based enhanced reference station adopts high-precision observation equipment, combined with multi-band receiving technology and multi-path suppression algorithm, receives the stability and accuracy of Beidou satellite signals, and generates real-time, high-precision differential data through data processing algorithm.

[0010] Preferably, the communication network adopts a multi-path redundant design, including wired and wireless communication networks and backup communication links, to ensure the continuity and reliability of data communication between the ground-based enhanced reference station, the data processing center and the data broadcasting system in the event of any network failure or interference.

[0011] Preferably, the data processing system adopts a distributed architecture, has high concurrent processing capabilities and fault-tolerant mechanisms, can simultaneously process real-time data from multiple ground-based enhanced reference stations, and ensure the stability and scalability of the system through load balancing and failover technology.

[0012] Preferably, the data processing system also includes an anomaly detection and fault prediction module, which can detect potential system failures in advance by real-time analysis of system logs and performance indicators, and automatically trigger corresponding repair measures to reduce system downtime and improve system availability.

[0013] Preferably, the data broadcasting system supports a variety of communication protocols and user terminal types, including wired and wireless communication protocols, and fixed and mobile user terminals, to ensure that users can choose a suitable receiving method according to their needs and quickly obtain differential positioning data.

[0014] Preferably, the data broadcasting system also includes a data encryption and access control module, which uses encryption algorithms and key management technology to encrypt and protect the differential data received by users, and through identity authentication and permission management, ensures that only authorized users can access and use high-precision differential products.

[0015] Preferably, the ground-based enhanced reference station also includes an intelligent environmental monitoring system that monitors the environmental conditions around the station in real time and automatically adjusts the operating status of the observation equipment according to environmental changes to improve the accuracy and reliability of the observation data.

[0016] Preferably, the data processing system also has data analysis and visualization functions, and can generate various forms of reports, charts and maps based on historical data and real-time data, providing users with intuitive positioning data analysis results.

[0017] Preferably, it also includes a user feedback and service optimization module to improve and optimize system performance by collecting user feedback and suggestions. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a connection diagram of a ground-based augmentation system based on the Beidou system in an embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solution and advantages of the present invention more clear, the following is a further detailed description of the ground-based augmentation system based on the Beidou system of the present invention in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0020] In the description of the present invention, unless otherwise specified, "multiple" means two or more; the terms "center", "longitudinal", "lateral", "up", "down", "left", "right", "inside", "outside", "front end", "rear end", "head", "tail", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate the orientation or position relationship based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", "third" and the like are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.

[0021] In the description of this utility, it should be noted that, unless otherwise clearly specified and limited, the terms "installation", "connection" and "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this utility can be understood by specific circumstances.

[0022] See also Figure 1 , the ground-based augmentation system based on the Beidou system in an embodiment of the present invention includes a ground-based augmentation reference station, a communication network, a data processing system and a data broadcasting system;

[0023] The ground-based enhanced reference station: each station is equipped with observation equipment, data transmission equipment, power supply equipment, lightning protection equipment and video status monitoring equipment, which are used to receive Beidou satellite signals and generate real-time, high-precision differential data;

[0024] The communication network is used to connect the ground-based augmentation reference station, the data processing center and the data broadcasting system;

[0025] The data processing system is used to receive the real-time data sent by the ground-based augmented reference station, decode, store, process and analyze it. The data processing system uses network RTK data processing technology to generate differential positioning data and provide it to the data broadcasting system;

[0026] The data broadcasting system is used to broadcast the high-precision differential products generated by the data processing system to the user terminal, and the user terminal uses the differential positioning data to perform pseudo-range differential / carrier phase differential calculation to obtain position information.

[0027] In the above embodiment, Beidou satellite signals are received by a ground-based augmented reference station, converted into differential data using high-precision observation equipment, and then transmitted to a data processing center through a communication network for decoding, storage, processing and analysis. Finally, the processed high-precision differential data is broadcast to the user terminal through a data broadcasting system to achieve high-precision positioning of the user terminal.

[0028] First, the ground-based augmented base station is the front-end data acquisition device of the system. The ground-based augmented base station continuously receives navigation signals from Beidou satellites through the observation equipment equipped. These observation equipment include antennas, receivers, and clock key components, which work together to ensure that satellite signals can be captured in real time and accurately. Once the satellite signal is received, the observation equipment will immediately convert it into an electrical signal and record the key parameters such as the signal strength, frequency, and phase. Next, the ground-based augmented base station transmits these electrical signals to the data processing center in real time through data transmission equipment. The communication network adopts a multi-path redundant design to ensure stable and reliable data transmission. At the same time, the communication network also has a data encryption function to ensure the security of data during transmission. Through the transmission of the communication network, a real-time and efficient data connection is established between the ground-based augmented base station and the data processing center. In the data processing center, after the system receives the real-time data from the ground-based augmented base station, it first performs a decoding operation. The purpose of decoding is to restore the electrical signal to the original observation data, that is, the strength, frequency, phase and other parameters of the satellite signal. After decoding is completed, the system pre-processes the observation data, including data format conversion, outlier removal and other operations. The purpose of preprocessing is to ensure the accuracy and reliability of the observation data. Next, the system uses network RTK data processing technology to comprehensively process and analyze the observation data. Network RTK technology is a real-time dynamic positioning technology based on carrier phase observation values. It can use the observation data of multiple reference stations for differential positioning, thereby eliminating systematic errors such as satellite orbit error and clock error, and improving positioning accuracy. In the process of network RTK data processing, the system first selects a certain number of reference stations as reference stations, and establishes a high-precision three-dimensional coordinate system by calculating the relative position relationship between these reference stations. Then, according to the location information of the user terminal, the system selects several reference stations closest to the user terminal as the basis for differential positioning. These reference stations will send differential correction information to the user terminal. After receiving this information, the user terminal will use the pseudo-range differential / carrier phase differential decomposition method to correct its own observation data, so as to obtain more accurate location information. In the process of network RTK data processing, the system also needs to consider the influence of various error factors, such as ionospheric delay, tropospheric delay, multipath effect, etc. In order to eliminate the influence of these error factors, the system adopts a series of advanced algorithms and technical means, such as dual-frequency observation, ionosphere model correction, troposphere model correction, multipath suppression technology, etc. The application of these algorithms and technical means further improves the positioning accuracy and reliability of the system. Finally, the data broadcasting system broadcasts the processed high-precision differential data to the user terminal. The data broadcasting system broadcasts the differential positioning data to the user terminal in an appropriate form (such as the NTRIP protocol) according to user needs and communication protocols.After receiving these differential positioning data, the user terminal will immediately parse and process them, and use the pseudo-range differential / carrier phase differential decomposition method to correct its own observation data to obtain more accurate location information. At the same time, the user terminal can also upload the positioning results to the data center or share them with other users as needed. In summary, the ground-based augmentation system based on the Beidou system receives Beidou satellite signals through the ground-based augmentation base station and converts them into differential data, then uses the communication network to transmit the data to the data processing center for processing and analysis, and finally broadcasts the processed high-precision differential data to the user terminal through the data broadcasting system.

[0029] See also Figure 1 In another embodiment, the ground-based enhanced reference station adopts high-precision observation equipment, combined with multi-band receiving technology and multi-path suppression algorithm, to receive the stability and accuracy of Beidou satellite signals, and generates real-time, high-precision differential data through data processing algorithm.

[0030] In the above embodiment, the high-precision observation equipment is the core of the reference station, which can capture and stably receive navigation signals from Beidou satellites. These devices have high sensitivity and accuracy, ensuring that the captured signal quality is high and the error is small. Secondly, the multi-band reception technology further enhances the signal reception capability of the reference station. By simultaneously receiving satellite signals of different frequency bands, the reference station can obtain more data redundancy and reduce the positioning error caused by the problem of a single frequency band signal. At the same time, multi-band reception can also effectively deal with signal attenuation and interference, and improve the stability and reliability of the signal. In order to eliminate the multipath effect during signal transmission, the reference station adopts a multipath suppression algorithm. This algorithm can identify and correct multipath errors caused by signal reflection, scattering, etc., and further improve the precision and accuracy of the signal. Finally, the reference station decodes, stores, processes and analyzes the received satellite signals through a data processing algorithm to generate real-time, high-precision differential data. These differential data contain the difference information between the satellite signal and the known position of the reference station, which is the key to achieving high-precision positioning. The data processing algorithm can accurately calculate and analyze the signal to ensure the accuracy and reliability of the differential data. In summary, the ground-based augmentation base station ensures the stable reception and high-precision processing of Beidou satellite signals through the comprehensive application of high-precision observation equipment, multi-band reception technology, multipath suppression algorithm and data processing algorithm, providing solid basic data support for the ground-based augmentation system.

[0031] See also Figure 1 In another embodiment, the communication network adopts a multi-path redundant design, including wired and wireless communication networks and backup communication links to ensure the continuity and reliability of data communication between the ground-based enhanced base station, the data processing center and the data broadcasting system in the event of any network failure or interference.

[0032] In the above embodiments, the combined use of wired and wireless communication networks provides the system with a variety of communication means. The wired network ensures the real-time transmission of data based on its stability and high speed; while the wireless network provides flexibility and coverage, ensuring that communication can be maintained in various complex environments. Secondly, multi-path redundancy design is the core of the communication network. This means that multiple communication paths are set in the network. When a certain path fails or is interfered with, the system will automatically switch to other backup paths, thereby ensuring the continuity and reliability of the data. This design greatly improves the fault tolerance of the system, so that the entire system can maintain stable operation in the face of various network failures. In addition, backup communication links are also an important part of the communication network. These links can quickly take over the data transmission task when the conventional communication link fails, ensuring that the data can reach the destination in a timely and accurate manner. The setting of backup communication links further enhances the reliability and stability of the system. In summary, the communication network with multi-path redundancy design adopted in the ground-based augmentation system ensures the continuity and reliability of data communication. Regardless of any network failure or interference, the system can maintain stable operation and provide strong support for the ground-based augmentation system.

[0033] See also Figure 1 In another embodiment, the data processing system adopts a distributed architecture, has high concurrent processing capabilities and fault-tolerant mechanisms, can simultaneously process real-time data from multiple ground-based enhanced reference stations, and ensures the stability and scalability of the system through load balancing and failover technologies.

[0034] In the above embodiment, the data processing system adopts a distributed architecture, which gives it high concurrent processing capabilities and a powerful fault-tolerant mechanism. The system can simultaneously process real-time data from multiple ground-based enhanced reference stations to ensure efficient and accurate data processing. In the distributed architecture, load balancing and failover technologies are key components that jointly ensure the stability and scalability of the system. Load balancing technology enables the system to reasonably allocate processing tasks to each node, ensuring that each node can bear an appropriate amount of load, thereby avoiding performance degradation or collapse caused by overloading a single node. This technology achieves load balancing by monitoring the load of each node in real time and assigning new processing tasks to nodes with lighter loads according to a certain algorithm. Failover technology is an important means to ensure system stability. In the distributed architecture, data backup and synchronization are achieved between nodes through redundant replication, consistent hashing and other technologies. When a node fails, the system can quickly detect the failure and automatically transfer the tasks and data of the failed node to other normal nodes to ensure that the system can continue to operate normally. This technology effectively avoids the impact of single point failures on the entire system and improves the reliability and availability of the system. In addition, the distributed architecture also has good scalability. When the system needs to increase processing power, horizontal expansion can be achieved by simply increasing the number of nodes without large-scale modification or reconstruction of the system. This flexibility enables the system to easily cope with business growth and changing needs. In summary, the data processing system adopts a distributed architecture, and achieves high concurrent processing capabilities and fault tolerance mechanisms through load balancing and failover technologies. It can simultaneously process real-time data from multiple ground-based augmentation base stations, and ensure the stability and scalability of the system through load balancing and failover technologies. This architecture provides powerful data processing support for the ground-based augmentation system, ensuring the accuracy and reliability of the data.

[0035] See also Figure 1 In another embodiment, the data processing system further includes an anomaly detection and fault prediction module, which can detect potential system failures in advance by analyzing system logs and performance indicators in real time, and automatically trigger corresponding repair measures to reduce system downtime and improve system availability.

[0036] In the above embodiments, the anomaly detection and fault prediction modules included in the data processing system are important guarantees for its stability and reliability. These modules have the ability to detect potential system faults in advance and automatically trigger repair measures by analyzing system logs and performance indicators in real time, thereby significantly reducing system downtime and improving system availability. In the data processing system, the anomaly detection module continuously monitors and analyzes key data such as system logs and performance indicators to identify abnormal behaviors that deviate from the normal state. These abnormal behaviors may include abnormal data transmission, processing delays, excessive resource usage, etc. Once an anomaly is detected, the anomaly detection module will immediately trigger the corresponding warning mechanism and pass the abnormal information to the fault prediction module for further analysis. The fault prediction module uses advanced algorithms and models to conduct in-depth analysis of the abnormal information, and combines historical data and system characteristics to predict potential system failures. These predictions may involve hardware failures, software errors, network problems, and other aspects. The fault prediction module can not only detect potential faults in advance, but also assess the severity and scope of the fault, providing valuable reference information for system administrators. After discovering a potential fault, the data processing system will automatically trigger the corresponding repair measures. These repair measures may include restarting the service, replacing faulty components, updating software patches, etc. Through automated repair measures, the system can quickly resume normal operation, reduce downtime and improve availability. In addition, the data processing system is scalable and flexible. As the business develops and the system scales, more anomaly detection and fault prediction modules can be easily added to meet higher system stability and reliability requirements. In summary, the anomaly detection and fault prediction modules in the data processing system can detect potential system failures in advance and automatically trigger repair measures by analyzing system logs and performance indicators in real time, thereby significantly improving the stability and availability of the system.

[0037] See also Figure 1 In another embodiment, the data broadcasting system supports multiple communication protocols and user terminal types, including wired and wireless communication protocols, and fixed and mobile user terminals, to ensure that users can choose the appropriate receiving method according to their needs and quickly obtain differential positioning data.

[0038] In the above embodiments, the data broadcasting system, as an important part of the ground-based augmentation system, is designed and functions to meet the needs of a wide range of users and ensure the rapid and accurate dissemination of differential positioning data. The system supports a variety of communication protocols and user terminal types, including wired and wireless communication protocols, as well as fixed and mobile user terminals, providing users with great flexibility and convenience. First, the data broadcasting system supports a variety of communication protocols, such as wired communication protocols (such as Ethernet, optical fiber, etc.) and wireless communication protocols (such as 4G / 5G mobile networks, Wi-Fi, satellite communications, etc.). This diverse support enables the system to adapt to different network environments and user needs, ensuring the stable transmission of differential positioning data. Secondly, the system supports a variety of user terminal types, including fixed user terminals (such as computers, servers, etc.) and mobile user terminals (such as smart phones, tablets, vehicle-mounted terminals, etc.). This wide compatibility allows users to choose the appropriate receiving method according to their needs, whether in a fixed position or in a mobile environment, they can quickly obtain the required differential positioning data. In addition, the data broadcasting system also has efficient data processing capabilities. It can receive differential positioning data from the data processing center in real time, and automatically select the optimal communication protocol and transmission method for data broadcasting according to the type of user terminal and network environment. This intelligent data broadcasting strategy ensures the timeliness and accuracy of data and improves the user experience. Finally, the data broadcasting system also has flexible configuration and management functions. Administrators can configure and manage the system according to actual needs, including setting the frequency, scope, user permissions, etc. of data broadcasting. This flexible configuration method enables the system to adapt to different application scenarios and changes in demand, improving the applicability and scalability of the system.

[0039] See also Figure 1 In another embodiment, the data broadcasting system also includes a data encryption and access control module, which uses encryption algorithms and key management technology to encrypt and protect the differential data received by the user, and through identity authentication and permission management, ensures that only authorized users can access and use high-precision differential products.

[0040] In the above embodiment, the data encryption module is a component in the data broadcasting system. It uses encryption algorithms and key management technologies to encrypt and protect the differential data received by the user. This encryption process allows the data to maintain a high degree of confidentiality and integrity during transmission and storage. Even if the data is illegally intercepted, it cannot be decrypted and read by unauthorized personnel. The selection of encryption algorithms and the strictness of key management are directly related to the security of the data. Therefore, the system needs to use a verified encryption algorithm and ensure that the generation, storage, distribution and update processes of the key are strictly controlled and managed. The access control module is another important security component in the data broadcasting system. It ensures that only authorized users can access and use high-precision differential products through identity authentication and permission management. When a user requests to access differential data, the system will first verify the user's identity, and only users who have passed the identity authentication can proceed to the next step. Then, the system will determine the scope of differential data that the user can access and how to use it according to the user's permission level. This permission management strategy can be flexibly configured according to actual needs to adapt to different application scenarios and user needs. The combined use of data encryption and access control modules enables the data broadcasting system to provide users with more secure and reliable data services. Together, they ensure the confidentiality, integrity and availability of data, and prevent security risks such as data leakage, tampering and illegal access. At the same time, these modules can also improve the manageability and scalability of the system, providing a strong guarantee for the long-term stable operation of the system.

[0041] See also Figure 1 In another embodiment, the ground-based enhanced reference station also includes an intelligent environmental monitoring system that monitors the environmental conditions around the site in real time and automatically adjusts the operating status of the observation equipment according to environmental changes to improve the accuracy and reliability of the observation data.

[0042] In the above embodiment, the intelligent environment monitoring system in the ground-based enhanced reference station is one of the components. It provides comprehensive environmental monitoring and intelligent control capabilities for the site by integrating multiple sensors and intelligent analysis algorithms. The main functions and characteristics of this system are reflected in the following aspects: First, the intelligent environment monitoring system integrates multiple sensors, which can monitor the environmental conditions around the site in real time, including but not limited to meteorological parameters such as temperature, humidity, wind speed, wind direction, air pressure, precipitation, and geological parameters such as soil moisture, soil temperature, and groundwater level. These sensors can collect and transmit environmental data in real time, providing a rich data source for the system. Secondly, the system uses advanced intelligent analysis algorithms to process and analyze the environmental data collected by the sensors. These algorithms can identify the trends and laws of environmental changes, predict possible future environmental conditions, and automatically adjust the operating status of the observation equipment based on these prediction results. For example, when the wind speed is too high or the temperature is too high, the system can automatically shut down some observation equipment to reduce the risk of damage; when the soil moisture is too low, the system can automatically start the irrigation equipment to keep the soil moisture suitable. In addition, the intelligent environment monitoring system also has the functions of remote monitoring and management. Users can access the system remotely through the network to view environmental data, equipment operating status and warning information, and perform remote control and adjustment. This remote monitoring and management function enables users to manage sites more conveniently, discover and solve problems in a timely manner, and improve the accuracy and reliability of observation data. Finally, the application of the intelligent environmental monitoring system not only improves the quality of observation data of the ground-based augmented reference station, but also enhances the stability and reliability of the site. Through real-time monitoring and intelligent adjustment, the system can ensure that the observation equipment operates in the best condition, reduce the risk of failure and damage, and improve the service life and reliability of the site. In summary, the intelligent environmental monitoring system in the ground-based augmented reference station provides the site with comprehensive environmental monitoring and intelligent control capabilities by integrating multiple sensors and intelligent analysis algorithms.

[0043] See also Figure 1 In another embodiment, the data processing system also has data analysis and visualization functions, and can generate various forms of reports, charts and maps based on historical data and real-time data to provide users with intuitive positioning data analysis results.

[0044] In the above embodiments, the data analysis and visualization functions of the data processing system are the key to improving data utilization efficiency and user decision-making quality. This function allows the system to generate a variety of reports, charts and maps based on historical data and real-time data through powerful data processing and analysis capabilities, providing users with intuitive and easy-to-understand positioning data analysis results. In terms of data analysis, the system can use various statistical methods and algorithms to deeply explore the potential value of data. Through the cleaning, integration, conversion and modeling of data, the system can reveal the relationship and rules between data, discover anomalies and trends in data, and provide users with targeted analysis results. These analysis results can help users better understand business conditions and guide decision-making. In terms of data visualization, the system supports a variety of graphics and image display methods, such as line charts, bar charts, pie charts, scatter plots, heat maps, etc., as well as more complex maps and three-dimensional graphics. Users can choose the appropriate visualization method according to specific needs to present the data analysis results in an intuitive and vivid form. These visualization charts can not only help users quickly grasp the main features of the data, but also discover details and patterns in the data, further enhancing users' insight into the data. For positioning data, visualization is particularly important. By displaying location data on a map, users can clearly see the data distribution of each location and understand the differences and connections between different locations. At the same time, the system also supports interactive map functions, and users can further explore and analyze data through operations such as zooming, dragging, and filtering. This interactive data visualization method can greatly improve user work efficiency and analysis quality.

[0045] See also Figure 1 In another embodiment, it also includes a user feedback and service optimization module, which improves and optimizes system performance by collecting user feedback and suggestions.

[0046] In the above embodiment, the user feedback module provides a convenient way for users to easily provide their opinions and suggestions. This can be achieved through online surveys, user forums, emails and other methods. The content of user feedback may cover multiple aspects such as system stability, ease of use, data processing speed, data visualization effect, etc. Secondly, the service optimization module will organize and analyze the collected user feedback. Through data analysis technology, the system can identify key issues and improvement points in user feedback, and formulate corresponding optimization plans accordingly. These optimization plans may include improving algorithms to increase data processing speed, optimizing user interfaces to improve ease of use, or adding new functions to meet user needs. Finally, the service optimization module will implement these optimization plans and update and upgrade the system accordingly. During the update and upgrade process, the system will ensure the integrity and security of the data and minimize the impact on users. After completing the update and upgrade, the system will collect user feedback again to evaluate the optimization effect and continue to improve. Through user feedback and service optimization modules, the data processing system can continuously adapt to and meet user needs, improve system performance and user experience.

[0047] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technician familiar with this profession can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A ground-based augmentation system based on the Beidou system, including a ground-based augmentation reference station, a communication network, a data processing system and a data broadcasting system; The ground-based enhanced reference station: each station is equipped with observation equipment, data transmission equipment, power supply equipment, lightning protection equipment and video status monitoring equipment, which are used to receive Beidou satellite signals and generate real-time, high-precision differential data; The communication network is used to connect the ground-based augmentation reference station, the data processing center and the data broadcasting system; The data processing system is used to receive the real-time data sent by the ground-based augmented reference station, decode, store, process and analyze it. The data processing system uses network RTK data processing technology to generate differential positioning data and provide it to the data broadcasting system; The data broadcasting system is used to broadcast the high-precision differential products generated by the data processing system to the user terminal, and the user terminal uses the differential positioning data to perform pseudo-range differential / carrier phase differential calculation to obtain position information.

2. The ground-based augmentation system based on the BeiDou system according to claim 1, characterized in that: The ground-based enhanced reference station uses high-precision observation equipment, combined with multi-band receiving technology and multi-path suppression algorithm, to receive the stability and accuracy of Beidou satellite signals, and generates real-time, high-precision differential data through data processing algorithms.

3. The ground-based augmentation system based on the BeiDou system according to claim 1, characterized in that: The communication network adopts a multi-path redundant design, including wired and wireless communication networks and backup communication links to ensure the continuity and reliability of data communication between the ground-based enhanced reference station, the data processing center and the data broadcasting system in the event of any network failure or interference.

4. The ground-based augmentation system based on the BeiDou system according to claim 1, characterized in that: The data processing system adopts a distributed architecture, has high concurrent processing capabilities and fault-tolerant mechanisms, can simultaneously process real-time data from multiple ground-based enhanced reference stations, and ensures the stability and scalability of the system through load balancing and failover technology.

5. The ground-based augmentation system based on the BeiDou system according to claim 1, characterized in that: The data processing system also includes an anomaly detection and fault prediction module, which can detect potential system failures in advance by analyzing system logs and performance indicators in real time, and automatically trigger corresponding repair measures to reduce system downtime and improve system availability.

6. The ground-based augmentation system based on the BeiDou system according to claim 1, characterized in that: The data broadcasting system supports a variety of communication protocols and user terminal types, including wired and wireless communication protocols, and fixed and mobile user terminals, ensuring that users can choose a suitable receiving method according to their needs and quickly obtain differential positioning data.

7. The ground-based augmentation system based on the BeiDou system according to claim 1, characterized in that: The data broadcasting system also includes a data encryption and access control module, which uses encryption algorithms and key management technology to encrypt and protect the differential data received by users, and through identity authentication and permission management, ensures that only authorized users can access and use high-precision differential products.

8. The ground-based augmentation system based on the BeiDou system according to claim 1, characterized in that: The ground-based enhanced reference station also includes an intelligent environmental monitoring system that monitors the environmental conditions around the station in real time and automatically adjusts the operating status of the observation equipment according to environmental changes to improve the accuracy and reliability of the observation data.

9. The ground-based augmentation system based on the BeiDou system according to claim 1, characterized in that: The data processing system also has data analysis and visualization functions, and can generate various forms of reports, charts and maps based on historical data and real-time data, providing users with intuitive positioning data analysis results.

10. The BeiDou-based ground-based augmentation system according to claim 1 further comprises a user feedback and service optimization module for improving and optimizing system performance by collecting user feedback and suggestions.

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