Dynamic Data-Driven Modelling of Water Allocation for the Internet of Things

Abstract

The allocation of water resources is an important aspect of maintaining public security, but there are still many problems in water resources management. The application of IoT technology in water resources management mainly focuses on water quality detection and water flow monitoring. For the allocation of water resources, the application of the Internet of things technology is not deep and sufficient, and the advantages of the Internet of things technology in water resources management are not fully utilized. In view of the above problems in the current situation, this paper proposes solutions for smart water resources. Smart water resources combine geographic information technology and Internet of things technology to visualize a map of water resources and realize the whole process management from the source to the end user and automatic data collection and analysis. Therefore, an intelligent system with remote control function is constructed, which can be applied to the practice of water resources allocation and realize the full utilization of water resources.