IoV(Internet of Vehicle) is an interactive wireless network based on vehicle location, speed, route and other information to achieve the effect of "smart car, smart road". For IoV, massive data from various aspects such as cars, roads, weather, users, intelligent computing systems, as well as data processing entities such as intelligent vehicle manufacturers and IoV service platform operators are integrated. These data, generally are multi-model, large-scale, real-time, interactive, and require high safety. In the IoV system, high-speed processing and analysis of massive multi-model data is necessary, so as to enable data assisted decision-making.
1. Traditional databases are weak in massive multi-model data processing. IoV users need to collect and store time-series data and GIS information such as vehicle status, driving status, driving behavior, mechanical parameters, electrical parameters, driving tracks, ADAS(Advanced Driving Assistance System) and road conditions, etc. Traditional databases cannot live up to the tasks in massive multi-model data processing.
2. The autonomous driving central control and dispatching platform demands high performance in real-time data computing and analysis.The driving course has an extremely high demand for real-time data writing and processing, which helps with risk early-warning, so as to ensure driving safety and avoid emergencies.
3. The demand for intelligent data analysis is increasing.KaiwuDB supports data analysis, modeling, and prediction, which can be applied in driving behavior recognition, traffic congestion prediction, and vehicle health management, and thus improves data quality and data service availability.
KaiwuDB can be flexibly deployed in public cloud, IDC, terminal machine and industrial control computers. We can provide flexible cloud-edge-terminal, cloud-terminal, and cluster deployment solutions for different business scenarios.
KaiwuDB supports multi-model data writing with high concurrency and low latency, while ensures real-time data processing with accuracy. Combined with multi-dimensional analysis and prediction capabilities of KaiwuDB Data Platform, the Solution enables IoV systems to comprehensively analyze and predict vehicle data, and achieve all-round perception between vehicles, vehicles and roads, vehicles and people, and thus correct driver behavior in real-time. Meanwhile, it predicts electromechanical and performance risks, as well as road conditions risks, providing strong support for emergency and rescue systems.
1. Assist decision-making and reduce accident rate.KaiwuDB provides intelligent API and modeling tools to assist data model building and training, which can predict the vehicle status, driving behavior, and road conditions, enabling the IoV system with early warning and decision-making capabilities, reducing accident rate and ensuring smooth traffic flow.
2. Guarantee data security.KaiwuDB supports encrypted storage and transmission of core data, as well as unified permission control. Combined with data security policy of KaiwuDB Data Platform, the IoV solution can help enterprises protect confidential and private data such as personnel information and vehicle data, avoide security issues such as data leakage and hacker attacks.
3. Improve efficiency with small investment.Compared to CDH(Cloudera Distribution of Hadoop), KaiwuDB can afford big data analysis with less investment. KaiwuDB supports interactive queries between relational and time-series data, as well as stream computing, which enables real-time data analysis collected from vehicles, people and roads, continuously pushing the results to the BI. KaiwuDB Data Platform supports charts, visualized reports and data deck, while open data service interfaces to support secondary development, greatly reducing the difficulities in building real-time BI screen in IoV scenarios.