Research on Multi-Source Heterogeneous Data Fusion Technology of New Energy Vehicles Under the New Four Modernizations

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.

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Urban Fine Management of Multisource Spatial Data Fusion Based on Smart City Construction

Mathematical Problems in Engineering ◽

10.1155/2021/5058791 ◽

2021 ◽

Vol 2021 ◽

pp. 1-10

Author(s):

Yuanpeng Long ◽

Xuena Zhang ◽

Feng Gao

Keyword(s):

Data Fusion ◽

Spatial Data ◽

Smart City ◽

Information Exchange ◽

Network Architecture ◽

Heterogeneous Data ◽

Urban Traffic ◽

Scientific Management ◽

Fusion Technology ◽

Deep Network

With the increase of the types of urban management objects, the intelligent management of the whole city has become a matter of concern in various countries, and it is also one of the indispensable links in urban development. In the construction of cities all over the world, the intelligent and scientific management system has been used innovatively. We provide excellent facilities for transportation development, information exchange, and resource progress. The research on urban fine management based on multisource spatial data fusion is proposed. Aiming at the traffic problems in urban fine management, this paper proposes a deep network architecture based on multisource data fusion. Multisource spatial data fusion technology is used to analyze urban traffic data. Deep network architecture is used to improve the precision management status of a smart city and the accuracy of traffic condition prediction. Then, the convolution neural network technology is explored in the data fusion technology strategy. The research results show that the framework has the ability to deal with heterogeneous data and urban big data and can effectively improve the traffic management state in the construction of a smart city and effectively solve the complexity of urban fine management and processing efficiency in the construction of a smart city.

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Research on the Promotion of New Energy Vehicles Based on Multi-Source Heterogeneous Data

10.21203/rs.3.rs-1185117/v1 ◽

2022 ◽

Author(s):

Bing Sun ◽

Zhuofang Ju

Keyword(s):

Network Analysis ◽

Latent Dirichlet Allocation ◽

Topic Model ◽

Heterogeneous Data ◽

Collaboration Network ◽

Power Performance ◽

Cooperative Research ◽

Econometric Methods ◽

New Energy ◽

New Energy Vehicles

Abstract Under the background of green development, new energy vehicles(NEVs), as an important strategic emerging industry, play a crucial role in energy conservation and emission reduction. In the post-epidemic era, steadily promoting the promotion of NEVs will be a hot topic. Based on heterogeneous source data, combined with the Latent Dirichlet Allocation (LDA) topic model, Social Network Analysis (SNA), and econometric methods, this paper explores whether individual purchase decisions and company-level cooperative research and development will promote the promotion of new energy vehicles. The results show that whether BEV, HEV, or PHEV, users are more concerned about space dimension, power performance, and design style; Patent collaboration network analysis indicates that NEV enterprises are establishing close partnerships, which will urge the promotion of NEVs; For BEV and HEV models, new energy vehicle companies will invest more patents and R&D investment will better expedite the advancement of NEVs.

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The Application of UX Research in New Energy Vehicle Innovation

Conference Proceedings of the Academy for Design Innovation Management ◽

10.33114/adim.2017.58 ◽

2019 ◽

Vol 1 (1) ◽

Author(s):

Menghan TAO ◽

Ning XIAO ◽

Xingfu ZHAO ◽

Wenbin LIU

Keyword(s):

Early Stage ◽

Rapid Expansion ◽

The Other ◽

Innovative Product ◽

Stage Of Development ◽

New Energy ◽

New Energy Vehicle ◽

The One ◽

New Energy Vehicles ◽

Degree Of Innovation

New energy vehicles(NEV) as a new thing for sustainable development, in China, on the one hand has faced the rapid expansion of the market; the other hand, for the new NEV users, the current NEVs cannot keep up with the degree of innovation. This paper demonstrates the reasons for the existence of this systematic challenge, and puts forward the method of UX research which is different from the traditional petrol vehicles research in the early stage of development, which studies from the user's essence level, to form the innovative product programs which meet the needs of users and being real attractive.

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