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Research on electric energy information acquisition system based on embedded platform

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Abstract

In response to the problems of large communication data volume, few communication methods and high communication costs in current electric energy information collection systems, the paper designs an electric energy information collection system based on uC/OS embedded real-time operating system. The system collects the data in the electricity meter downlink according to the parameters set by the host computer. After the data is compressed by the data collection terminal, it is transmitted to the main station through remote communication technology, which is convenient for the staff to monitor and manage the energy data. In this paper, LZO lossless compression technology and run-length coding technology are combined to improve the data compression scheme and use the RSA encryption algorithm to encrypt and calculate the data and use the touch-type fully intelligent combination interference generator PRM61245B to conduct EMC testing on the power information collection terminal. The experimental results show that the power system data acquisition system proposed in this paper can effectively improve the data transmission rate while ensuring data security, and can operate stably under the influence of external interference factors. Through a series of experimental tests, the practicability and effectiveness of the system are verified.

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Acknowledgments

This work was supported by Shandong Provincial Natural Science Foundation, China (Grant No.ZR2014FL026).

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Authors and Affiliations

  1. College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China

    Mingjia Wang, Shuai Ren, Yunliang Du, Yanan Li & Xueke Ma

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  1. Mingjia Wang
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  2. Shuai Ren
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  3. Yunliang Du
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  4. Yanan Li
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Correspondence to Mingjia Wang.

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We declare that we have no financial and personal relationships with other people or organizations that can inappropriately influence our work, there is no professional or other personal interest of any nature or kind in any product, service, and/or company that could be construed as influencing the position presented in, or the review of, the manuscript entitled is ‘Research on Electric energy Information Acquisition System Based on Embedded Platform’.

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Wang, M., Ren, S., Du, Y. et al. Research on electric energy information acquisition system based on embedded platform. Multimed Tools Appl 83, 29377–29397 (2024). https://doi.org/10.1007/s11042-023-16716-9

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  • DOI: https://doi.org/10.1007/s11042-023-16716-9

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