With the development of IoV technology, IoV TSP (Telematics Service Provider) plays an important role in vehicle safety, driving behavior, intelligent navigation, etc. This article will mainly discuss the technical architecture of the TSP of the Internet of Vehicles, including the composition, communication protocol, and data management of the TSP of the Internet of Vehicles.
1. Composition of the Internet of Vehicles TSP
The Internet of Vehicles TSP is mainly composed of three basic components: the car terminal, the communication network and the cloud.
- Car end
The automotive side mainly refers to hardware such as on-board equipment and sensors, as well as software such as vehicle status monitoring. These devices and software can transmit the real-time status of the vehicle to the cloud, and receive instructions and data from the cloud; at the same time, they can also display the relevant functions provided by the Internet of Vehicles TSP in the vehicle in time, so that the driver can monitor and control the vehicle status. control.
- Communications network
The communication network mainly refers to the network connecting the car and the cloud, including 4G, 5G network, Wi-Fi, Bluetooth and other wireless communication technologies. Through these communication networks, the Internet of Vehicles TSP can realize functions such as vehicle status monitoring, remote command, and data transmission.
- the cloud
The cloud mainly refers to cloud computing platforms, including cloud-based data processing and analysis platforms, and platforms that provide cloud storage services. Through the cloud, the Internet of Vehicles TSP can implement services such as vehicle data analysis, data mining, artificial intelligence algorithms, intelligent maintenance and predictive maintenance.
2. The communication protocol of the TSP of the Internet of Vehicles
The communication protocol of the Internet of Vehicles TSP mainly refers to the standard specification and process of information exchange. This protocol can facilitate the communication between the vehicle and the cloud through the in-vehicle communication hardware and software platform. These protocols involve all aspects from the transport layer to the application layer, mainly including the following three aspects:
- Vehicle Basic Communication Protocol
The vehicle basic communication protocol is the most basic communication protocol in the TSP system of the Internet of Vehicles, which is mainly used for communication between vehicles and TSP in the TSP system of the Internet of Vehicles. The protocol involves basic error detection and verification mechanisms to eliminate bit errors and other problems during transmission.
- data communication protocol
The data communication protocol is a data interaction protocol used in the TSP of the Internet of Vehicles for transmission from the vehicle to the cloud or from the cloud to the vehicle. The main purpose of this protocol is to ensure the correctness and reliability of data transmission. There are many types of this protocol, including OBD, CAN, yue, and MQTT, etc., and the functions and characteristics of these protocols are also different.
- Cloud Communication Protocol
The cloud communication protocol is used in the TSP of the Internet of Vehicles for communication between the cloud platform and the TSP system of the Internet of Vehicles. This protocol can send requests and get responses through a RESTful service-based architecture (such as HTTP/HTTPS), and complete the data exchange between the cloud platform and the TSP system of the Internet of Vehicles.
3. Data management of the Internet of Vehicles TSP
Data management is one of the key technologies in the TSP technical architecture of the Internet of Vehicles. When the vehicle is driving, a large amount of vehicle operation data will be generated. TSP needs to process these data through fine data management, and provide users with detailed information on various vehicle states and traffic conditions.
Data management mainly involves the following aspects:
- data collection
Data collection refers to the process of obtaining data from the vehicle side, mainly including establishing real-time connections from various aspects such as sensors and in-vehicle entertainment systems to realize real-time data collection. The TSP of the Internet of Vehicles collects data and transmits vehicle status, changes and other data to help with intelligent road condition analysis, driving behavior evaluation, and vehicle diagnosis.
- data storage
TSP needs to store the acquired vehicle data in real time. The data storage scheme should consider the requirements of higher storage efficiency, data security and ease of query. Therefore, TSP generally needs to adopt technologies such as cloud storage, distributed file system and distributed relational database.
- data analysis
TSP needs to analyze and process the collected data to achieve more efficient traffic management and driving control. This process involves artificial intelligence, machine learning, data mining and other technical methods to improve efficiency and accuracy.
- data exchange
TSP needs to transmit the processed data to the management center, car owner application platform, etc., so that users can check the status of the vehicle at any time, and service providers can control the vehicle and maintain the vehicle. At this time, the data communication protocol mentioned above needs to be used to handle the data transmission process.
4. Components in the Internet of Vehicles TSP
- Automotive components
Automotive components include on-board equipment, sensors, control units and other components. These components can obtain vehicle status data in real time, and transmit the data to the cloud through a data communication protocol, and can also receive instructions and data from the cloud.
- communication protocol components
The communication protocol component includes vehicle basic communication protocol, data communication protocol and other communication protocols. These protocol components facilitate communication between the vehicle and the cloud, ensuring reliable data transmission.
- cloud components
Cloud components include multiple sub-components such as cloud platform, cloud storage service, data analysis and application service. The cloud platform acts as a data center, where almost all data is stored. Cloud storage services make data storage and processing more convenient and efficient through efficient storage management. Data analysis and application services can convert vehicle data into various services and information, such as intelligent navigation, remote car theft positioning and other functions.
- mobile communication components
Mobile communication components include 4G, 5G networks, Wi-Fi and other wireless communication technologies. These communication technologies can realize vehicle status monitoring, remote control, data transmission and other functions, providing a reliable communication basis for the entire system.
5. Concurrent TSP communication of the Internet of Vehicles
- load balancing
When the number of Internet of Vehicles TSP users increases, the service requests of the system also show explosive growth. In order to ensure the stability and availability of the system, we need to deploy a load balancer in the cloud to evenly distribute requests to multiple service nodes, so as to realize the horizontal expansion of the application.
- Cluster deployment
In order to meet the needs of large concurrency of communication, we need to deploy data storage, data analysis, application services and other services on different physical servers, and use distributed technology to form them into clusters. Through clustered deployment, we can dynamically expand or shrink capacity when needed to cope with changes in service pressure.
- CDN acceleration
In the Internet of Vehicles TSP, we need to provide users with full-time and all-regional services. By adopting CDN, a distributed caching technology, data is cached in closer CDN nodes, which can effectively improve the response speed and service quality of user access, and reduce the delay of data transmission between different regions.
- asynchronous processing
In the traditional synchronous processing mode, if a request takes too long to process in the system, it may be blocked, reducing the response performance of the entire system. Therefore, we need to adopt an asynchronous processing mode, and submit some tasks that require a long processing time, such as data analysis, machine learning, etc., through the message queue asynchronously to improve the concurrent processing capabilities of the system.
6. Leverage Microservices
In the TSP architecture of the Internet of Vehicles, we can use the microservice architecture to build the entire system. Microservice architecture is an architectural style that splits complex applications into multiple small services, each of which is independent of each other and can be deployed, scaled and maintained independently.
In the Internet of Vehicles TSP, components such as automotive components, communication protocol components, cloud components, and mobile communication components can be divided into multiple microservices, such as data collection microservices, data processing microservices, data storage microservices, and application service microservices. service etc. These microservices communicate through RESTful APIs to realize the functions of the entire system.
Adopting the microservice architecture can not only isolate system components from each other, realize rapid iteration and deployment, but also optimize system performance and availability. For example, horizontal expansion can be carried out for each microservice to improve the concurrent processing capability of the system; each microservice can be maintained independently to ensure high availability of the system. In addition, the microservice architecture can also promote team collaboration and improve system development efficiency.
In short, dividing the TSP architecture of the Internet of Vehicles into multiple microservices can better realize the split and combination of the system, improve the scalability and stability of the system, and accelerate the development and update cycle.
To sum up, the realization of the technical architecture of the Internet of Vehicles TSP requires systematic thinking and comprehensive consideration of various factors. TSP needs efficient data management and communication protocols to realize the transmission, storage and exchange of vehicle data, and needs to continuously improve the technical level to better meet user needs.