Abstract
In the 21st century, transportation brought great convenience to people, but at the same time, automobile transportation is the major factor causing greenhouse gas emissions and climate change. Movements of the world towards green environments, there is hike in use and production of electric vehicles (energy vehicles). However, with the continuous growth in the number of energy vehicles, it is necessary for the government to provide strong support in the construction of charging piles. Real-time and effective management has become a practical problem for the relevant departments which needs to be solved. This paper uses the information research method to fuse the huge amount of heterogeneous data generated by the charging pile resultant to the new energy electric vehicle in the vehicle network and introduces cloud computing as its storage module to facilitate the storage and related expansion of the big data. This paper proposes a system scheme of heterogeneous data fusion based on cloud computing for the acquisition, storage, and fusion of heterogeneous data in the vehicle network. After testing the results, it shows that the system is stable and effective in practical application, which can meet the design requirements of the system. What is the significance of analyzing big data of charging point? Considering from the supply side, obtaining the user’s charging behaviour data is helpful to build a digital map of the charging pile of new energy vehicles, connect the service information between the vehicle enterprises and the charging pile enterprises, and provide the most comprehensive and effective real-time charging information covering the widest range of vehicles, which can solve many problems of information asymmetry in the current charging information service.
Highlights
In the 21st century, transportation brought great convenience to people, but at the same time, automobile transportation is the major factor causing greenhouse gas emissions and climate change
Real-time and effective management has become a practical problem for the relevant departments which needs to be solved. is paper uses the information research method to fuse the huge amount of heterogeneous data generated by the charging pile resultant to the new energy electric vehicle in the vehicle network and introduces cloud computing as its storage module to facilitate the storage and related expansion of the big data. is paper proposes a system scheme of heterogeneous data fusion based on cloud computing for the acquisition, storage, and fusion of heterogeneous data in the vehicle network
What is the significance of analyzing big data of charging point? Considering from the supply side, obtaining the user’s charging behaviour data is helpful to build a digital map of the charging pile of new energy vehicles, connect the service information between the vehicle enterprises and the charging pile enterprises, and provide the most comprehensive and effective real-time charging information covering the widest range of vehicles, which can solve many problems of information asymmetry in the current charging information service
Summary
Aiming at the data obtained by the new energy electric vehicle management system, it takes a lot of manpower and financial resources to find the charging pile [22]. is paper builds a system hardware platform, including the heterogeneous data fusion of the vehicle network and the massive heterogeneous data application of the cloud storage [16]. Is paper builds a system hardware platform, including the heterogeneous data fusion of the vehicle network and the massive heterogeneous data application of the cloud storage [16]. E data acquisition end is responsible for data collection and data uploading; the data storage end uses cloud storage, which is responsible for classified storage of the vehicle network heterogeneous data; and the data fusion display layer communicates with the data storage layer to realize the display of related heterogeneous data fusion. E mobile terminal is the data acquisition end used for the Internet of Vehicles. It is mainly a smart device with built-in sensors and Android operating systems, such as smart phones and smart rear-view mirrors. Later realizes the application of related data fusion by remotely calling is of three kinds, i.e., heterogeneous data of text, picture, and video stored on the server
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