Abstract:

The application of big data and artificial intelligence has brought new research paths for the technological development of chemical energy storage heating systems. This article provides an overview and analysis of the optimization of big data and artificial intelligence technologies in the upgrading and configuration scheduling of heating system software and hardware. It has been proven that big data and artificial intelligence have brought technological innovation and optimization to the refined management and intelligent decision-making of chemical energy storage heating systems. In terms of operational processes, big data technology can ensure intelligence, convenience, and accuracy in data transmission, processing, and decision analysis; In terms of system architecture design, big data and artificial intelligence technologies have also brought optimization and upgrading to chemical energy storage heating systems, not only improving the data transmission efficiency of sensor networks, but also providing various logical model algorithms to achieve intelligent decision-making optimization.

Key words: artificial intelligence, big data, battery data