Abstract
The design of power intelligent auxiliary control and monitoring systems based on IoT 3D image processing is a significant development in the field of power management. This system utilizes advanced technologies such as the Internet of Things, 3D processing, and artificial intelligence to provide efficient and reliable solutions for power management. The system aims to monitor and control various aspects of the power grid, including voltage level, current, and frequency. It uses sensors to collect data from different parts of the grid and uses advanced algorithms to process this data. Then, the processed data is used to determine how best to manage the power grid. The use of 3D image processing technology allows for real-time and accurate visualization of the power grid. This enables operators to quickly identify potential issues or areas that require attention. Overall, this system represents an important step forward in the field of power management. It can use advanced technology to monitor and control various aspects of the power grid, making it an important tool to ensure reliable and efficient energy distribution. The specific construction method is to connect the relay gateway as a hardware device to the Internet of Things platform, and the intelligent power measurement and control instrument to the relay gateway; Complete the visual interface design of the monitoring master station based on the data uploaded by the relay gateway. The basic measurement functions of LoRa communication capability and intelligent power measurement and control instrument were tested, and the test results met the expected requirements.
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Li, J. (2023). Design of Power Intelligent Auxiliary Control and Monitoring System Based on IoT 3D Image Processing Technology. In: Hassanien, A., Rizk, R.Y., Pamucar, D., Darwish, A., Chang, KC. (eds) Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics 2023. AISI 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 184. Springer, Cham. https://doi.org/10.1007/978-3-031-43247-7_11
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DOI: https://doi.org/10.1007/978-3-031-43247-7_11
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