Smart Electricity Meter Design and Key Parts Molding Process Development

Zhanfeng Zhao

doi:10.54691/fse.v2i11.2986

Smart Electricity Meter Design and Key Parts Molding Process Development

Zhanfeng Zhao

Frontiers in Science and Engineering, (2022), Vol.2, No.11, pp.87-93

Published: November 22, 2022

DOI: 10.54691/fse.v2i11.2986

PDF: Download Full Text PDF

Abstract

Through the analysis of the technical specifications of smart electricity meters, combined with the characteristics of regional enterprises, the mechanical and electrical structures of smart meter are designed. The mechanical structure layout is reasonable, effectively accommodate control components and mechanical parts, and at the same time facilitate mass production moulds, and has the advantages of manufacturing process. The electrical structure is in line with the latest 5G signal transmission and network data collection, remote metering, and remote operation and maintenance. The key components of the smart meter have been formulated, and the model of the mould is designed to provide equipment supports for the mass production of the meter. Combined with the processing process of related components, the key level of molding has been studied, providing strong level support for enterprises to apply new technologies and production quality products.

Keywords: Smart Meter, Mechanical Structure, Electrical Structure, Molding Process

APA Citation: Zhanfeng Zhao (2022). Smart Electricity Meter Design and Key Parts Molding Process Development. Frontiers in Science and Engineering, 2(11), 87-93. https://doi.org/10.54691/fse.v2i11.2986

References

Nguyen, Pettersen S . Mobile application for household energy consumption feedback using smart meters: Increasing energy awareness, encouraging energy savings and avoiding energy peaks[C] International Conference on Collaboration Technologies & Systems. IEEE, 2014:291-296.
Alahakoon D , Yu X . Smart Electricity Meter Data Intelligence for Future Energy Systems: A Survey[J]. IEEE Transactions on Industrial Informatics, 2016, 12(1):425-436.
Hopf K , Sodenkamp M , Kozlovkiy I , et al. Feature extraction and filtering for household classification based on smart electricity meter data[J]. Computer Science - Research and Development, 2016, 31(3pt.2):141-148.
Costa N , Matos I . Inferring daily routines from electricity meter data[J]. Energy & Buildings, 2016, 110(JAN.):294-301.
Xu D , Wei Q , Elsayed E A , et al. Multivariate Degradation Modeling of Smart Electricity Meter with Multiple Performance Characteristics via Vine Copulas[J]. Quality & Reliability Engineering International, 2017, 33(4):803-821.
Dent I , Craig T , Aickelin U , et al. A Method for Evaluating Options for Motif Detection in Electricity Meter Data[J]. Journal of Data Science, 2018, 16(1):1-28.
Zhou Z . Design and Implementation about Secure Smart Electricity Meter Sealing Based on RF Tag[J]. International Journal of Security & Its Applications, 2015, 9(6):79-88.
Marais Z , Brom H , Kok G , et al. Reduction of Static Electricity Meter Errors by Broadband Compensation of Voltage and Current Channel Differences[J]. IEEE Transactions on Instrumentation and Measurement, 2020, PP(99):1-1.
Godec D , Brnadi V , Breki T . Optimisation of Mould Design for Injection Moulding – Numerical Approach[J]. Tehnički Glasnik, 2021, 15(2):258-266.
Sheng Q , Huang L , Wang X , et al. Research and Analysis on Evaluation Methods of Electrical Performance of Smart Energy Meters[J]. Journal of Physics: Conference Series, 2021, 1802(3):032 135 (8pp).