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End-users can access data contained in the telematics server's databases and extract insights using telematics web and mobile applications or other tools.
FREMONT, CA: Modern vehicle telematics is based on hardware and software solutions that allow for the collection, storage, and exchange of data points between fleet vehicles and central locations. Telematics is concerned with the establishment of a network of cars and telecommunication devices and hence falls under the IoT (Internet of Things) umbrella. Following are the components of telematics systems and the data that allows them to function as a single unit.
TCU (Telematics Control Unit): TCU is an onboard device that monitors and analyzes the performance, location, and speed of a vehicle. The GPS, CAN (Controller Area Network) bus port, and onboard diagnostics are all used to collect vehicle data. The data is subsequently delivered to the cloud server via the GPRS module, a cellular network, LTE (Long-Term Evolution) communication, or other channels after being acquired over various interfaces.
Telematics Cloud Server:The telematics cloud server is a cloud architecture that includes a web server, an application server, and a database for storing collected data. Information is translated into MQTT messages before it reaches the cloud telematics server. MQTT stands for Message Queuing Telemetry Transport, and it is a lightweight messaging protocol that's widely used in IoT platforms. End-users can access data saved in the cloud via a web/mobile app.
Telematics Web and Mobile Applications:End-users can access data contained in the telematics server's databases and extract insights using telematics web and mobile applications or other tools.Users can apply more complex analytics to the obtained data by feeding information into external software via APIs, in addition to monitoring and operating fleet vehicles.
Telematics Data:By turning every car into a data gateway, telematics data connects cars and management teams. Not only does telematics data come in various shapes and sizes, but it also comes from a variety of sources in a never-ending, high-speed stream. It is for this reason that it is referred to as streaming data and is commonly employed in the context of big data.
Telematics data can be divided into three groups: