Research On Heterogeneous Data Fusion Method In Vehicle Network Based On Cloud Computing

As the number of various types of motor vehicles continues to increase year after year,how to manage them in real time becomes an urgent problem that the relevant departments need to solve.With the development of electronic information network technology,it has become an inevitable direction to make full use of the vehicle networking solutions developed based on the Internet of Things technology to solve such problems.However,the huge car networking system will produce a variety of heterogeneous data with different data structure characteristics such as texts,pictures,videos,etc.However,the existence of a large number of heterogeneous data brings great impact to the use of these data in actual management.Inconvenient,it is difficult to truly achieve the desired real-time,intelligent management of various motor vehicles.Therefore,the research on heterogeneous data fusion methods in the vehicle networking system has become the key to vehicle management informationization and intelligence.This is also a question that will be studied and solved in this article.The subject of this paper is based on the project “Construction and Research of the IOT Traffic Management and Management Platform” jointly organized by the Science Faculty of Kunming University of Science and Technology and Yunnan Zhongzhi IOT Technology Co.,Ltd.This project is to establish smart traffic data in the Campus of Kunming University of Science and Technology in Chenggong District.research platform.This article focuses on the research work on the heterogeneous data fusion system of the vehicle supervision platform in this project.Work has been carried out by combining the relevant technologies of the car networking and the application of mobile internet and cloud storage technologies in vehicle management systems.According to project management's requirements for the real-time and accuracy of heterogeneous data in analysis and decision-making,combined with existing research conditions,the work is divided into three phases: data acquisition,data storage,data fusion and display.In the first stage,through the in-depth analysis of the characteristics of the car network metadata,the sensor layer of the car network system is used to acquire heterogeneous data based on the mobile operating system of the Android operating system.In the second stage,the distributed files in the cloud storage tool Hadoop are respectively used.The system HDFS,the non-relational database MongoDB,and the relational database MySQL classify and store the acquired heterogeneous data in real time.In the third stage,the acquired heterogeneous data is integrated in real time and displayed on the map in real time with the geographical coordinate position as a key,and a data interface is provided for various applications.Through three phases of work,the system architecture platform for heterogeneous data fusion in vehicle networking based on the cloud computing platform was used to finally provide various real-time and accurate heterogeneous data interfaces to the management team,achieving project requirements.This study provides a valuable basis for follow-up work.