scholarly journals Operation Platform of Charging Pile Metering Equipment Based on Big Data

2021 ◽  
Vol 2143 (1) ◽  
pp. 012038
Author(s):  
Wei Liu ◽  
Chaoliang Wang ◽  
Yang Zhang ◽  
Tao Xiao ◽  
Chunguang Lu

Abstract At present, our country’s new energy industry has developed rapidly with the concept of green development, and at the same time, the demand for charging piles and other equipment is also increasing. However, many new energy vehicles need to pay corresponding fees when using charging piles, resulting in bloated data in the original metering system. Based on this, the purpose of this article is to design and research the operation platform of charging pile metering equipment based on big data. This article first analyzes and studies the current status of charging pile metering, and studies its existing problems and shortcomings in combination with big data technology. The feasibility of the system development and the module functions of the charging pile metering equipment operating platform are studied. This article systematically expounds the three basic algorithms of DC electric energy measurement, and uses comparative analysis method, interdisciplinary method and other research forms to study the content of this article. Experimental research shows that the accuracy of the charging pile metering equipment based on big data studied in this paper is within 0.1, which is extremely feasible.

2021 ◽  
Vol 252 ◽  
pp. 03005
Author(s):  
Mengyuan Dai

In China, the proportion of coal in the energy structure is high, and the utilization of coal will cause carbon emission and environmental pollution. Therefore, the adjustment of energy structure and the utilization of new energy has become the focus of China's efforts to comprehensively promote the green development of energy. At present, developing nuclear power has become a key way to break through the bottleneck of new energy power supply and realize economic and ecological benefits. Based on the current situation and existing problems of China's nuclear power industry, this paper puts forward the challenges and measures for the future development of nuclear power.


2020 ◽  
Vol 214 ◽  
pp. 01002
Author(s):  
Wang Yang

With the convergence of information technology and human production and life, as well as the rapid popularization of the Internet, the global data show an explosive growth. Accounting, especially cost management, is also closely related to external data. Therefore, the cost management also needs to apply the big data technology to realize its function and method synchronization optimization. This paper first USES the literature research method to sort out the relevant concepts and theories of enterprise cost management at home and abroad, then USES the data analysis method to analyze the current situation and main problems of wenzhou huafeng group co., ltd. in the cost management, and finally, combined with the background of big data, puts forward the corresponding countermeasures through the problems. In a word, through research and analysis, the problems and deficiencies in cost management of enterprises are found, and on the premise of the background of big data, Suggestions and countermeasures are put forward to solve the problems in cost management of enterprises.


Author(s):  
Q. Zhong ◽  
X.M. Liu

With the development of big data technology, traditional monitoring methods for the scope of marine pollution can no longer meet the current needs of accuracy and timeliness. In light of the outstanding topic, this study proposed to use big data technology to monitor the scope of marine pollution. The intelligent digital remote sensing technology was used for multi-dimensional monitoring of ocean water quality and completed the calculation of data collected by water quality sensors through the improved big data comparative analysis method. Finally, the scope of pollution monitoring was realized. The results verified that the proposed monitoring method could achieve high-precision and time-sensitive monitoring of the range of marine pollutants, and could identify the basic information of pollutants.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 123891-123903
Author(s):  
Jia Mao ◽  
Dou Hong ◽  
Runwang Ren ◽  
Xiangyu Li ◽  
Ju Wang ◽  
...  

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