Earticle

The vehicle monitoring system is a very important class of information systems. However, the existing monitoring systems generally require the support of the large database systems and the monitoring event could not be processed in real time. The research of internet of vehicles has proposed the novel ideas and methods to build the monitoring system. In this paper, we construct a vehicle monitoring system based on a complex event query language: STeCEQL. Firstly, we give the approach of verifying the reasonableness of the monitoring events through building the model of the vehicles. Then we propose the method of describe the vehicle monitoring events by STeCEQL. Meanwhile, we give the complex event detection algorithms based on the event tree. Finally, the simulation results demonstrate the effectiveness of the vehicle monitoring approach of internet of vehicles.

The internet of vehicles is an important internet of things. It is an urgent problem that how to real-time processes these spatial and temporal data of the internet of vehicles. The complex event processing technology can filter the concerned data to the event by the complex event query language (EQL) and the system can responds effectively. The STeCEQL is a complex event language for the internet of vehicles, which constraint with spatial and temporal. The processing model of the complex event language is a core issue of the complex event processing technology. In this paper, we established a Petri Net processing model of STeCEQL. We give all kind of processing model of STeCEQL expressions. And these processing models are synthesized by two types of basic Petri Net model: the sequence structure and the logic and structure. Finally, we proved the Petri Net processing model of STeCEQL is structural boundedness and structural conservativeness, but it is not structural repetitiveness.