Master Vehicle IoT in 5 Minutes: Data Open & Collection Explained

What is Vehicle IoT?

Vehicle IoT (Internet of Things) extends the IoT concept to automobiles, enabling the extraction and utilization of static and dynamic vehicle information such as location, status, and mileage through electronic tags and wireless technologies, and supporting comprehensive monitoring and services.

Huawei Vehicle IoT Solution

Huawei’s solution, built on the OceanConnect IoT platform, offers connection management, service orchestration, and big‑data handling. A layered security architecture ensures unified network access, while an embedded IoT Agent simplifies development for device manufacturers. Massive data collection and analysis create new value for operators and enterprises.

Data Open Mechanism

Data open refers to the DAP (Data Analysis Platform) providing storage, analysis, and open‑access capabilities for vehicle data, reducing development complexity and enabling rapid business response. DAP ingests vehicle events via Kafka from the IoT platform, preprocesses, decodes, and normalizes them into a unified model, stores real‑time data in a database, and archives detailed records in Hadoop for lawful, secure sharing with internal platforms or third‑party applications.

Open data includes:

Real‑time vehicle information: location, status, battery and mileage.

Historical vehicle information: trajectories, fuel consumption, brake mileage.

Vehicle event information: alarms, driving behavior, and detailed event logs.

Driving data: speed, RPM distribution, throttle statistics.

Data Collection Mechanism

Data collection gathers vehicle operation data for platform‑side analysis and business development. Collected data types include:

Location data: periodic reports of vehicle position, enabling real‑time tracking and historical trajectory analysis.

CAN‑bus data: parameters that reveal real‑time status, fault codes, and fuel consumption.

Accident‑related data: pre‑crash information such as speed and vehicle signals.

Event data: alerts like overspeed warnings and abnormal events.

Statistical data: aggregated fuel consumption, mileage, and other metrics.