Research on Centralized Monitoring and Intelligent Transfer Method of Operation Recorders for Efficient Operation Data Management
DOI: https://doi.org/10.62517/jbdc.202501305
Author(s)
Shuaiqi Wei, Ya Zhou*, Zhichao Zhao, Hongxing Zhang, Xue Wang
Affiliation(s)
State Grid Hebi Power Supply Company, Hebi, Henan, China
*Corresponding Author
Abstract
This study aims at the problems of cumbersome charging, low efficiency of manual export and high safety risks in the data management of traditional operation recorders, and designs an intelligent terminal system integrating centralized monitoring of equipment and intelligent transfer and storage. The system, based on edge computing technology, realizes real-time status monitoring of the decentralized operation recorder, contactless charging management and self-service borrowing and returning functions, and automatically completes the efficient and secure transfer and preprocessing of data. Through practical experiments, it has been verified that the proposed scheme significantly improves the efficiency of data management and the user experience, reduces manual operations, and ensures data security. This research provides an effective technical path for enhancing the intelligent level of on-site operation data management and has good application and promotion value.
Keywords
Operation Recorder; Intelligent Terminal System; Edge Computing; Intelligent Transfer and Storage
References
[1] Huang, J. (2021) Research and Application of Workshop Equipment Monitoring System Based on Edge Cloud Collaboration. Guangdong University of Technology.
[2] Xu, W. W., Du, W. H., Yang, J. H., & et al. (2021) Application of Edge Computing in Data Acquisition and Processing in Manufacturing Industry. Journal of Shanghai Polytechnic University, 38(3): 223-230.
[3] Chen, S., Liu, H., & Zhang, T. (2020). Application of wearable devices in construction safety monitoring: A review. Automation in Construction, 114, 103174.
[4] Wang, Y., & Li, M. (2019). Data management challenges in industrial IoT: A case study of mining operations. Journal of Industrial Information Integration, 15, 100108.
[5] Zhao, L., & Wu, D. (2021). Intelligent device management framework for industrial IoT based on edge computing. IEEE Transactions on Industrial Informatics, 17(7), 4903-4912.
[6] Huang, R., & Chen, X. (2019). Remote equipment status monitoring and fault diagnosis system based on IoT. Sensors, 19(12), 2703.
[7] Satyanarayanan, M. (2017). The emergence of edge computing. Computer, 50(1), 30-39.
[8] Li, J., & Zhang, X. (2020). Research on wireless charging technology for industrial equipment. IEEE Transactions on Power Electronics, 35(10), 10610-10618.
[9] Kim, S., & Park, Y. (2018). Self-service device borrowing system using RFID and IoT technology. International Journal of Distributed Sensor Networks, 14(11), 1550147718805450.
[10] Zhang, Q., & Sun, J. (2018). Manual data extraction issues in field equipment: Problems and solutions. International Journal of Computer Applications in Technology, 57(3), 214-222.