The application discloses a kind of based on high-speed service area water-saving
management system and method of
Internet of Things, belong to intelligent
water resource management technical field.It aims at solving the operation
optimization problem of existing service area
water management system, including: obtaining historical
water consumption,
water quality data, meteorological information, passenger flow, regeneration
water pool and rainwater
storage tank liquid level and using pre-trained
water consumption load prediction model to process, obtain
water consumption load prediction value;
Water quality data are compared with pre-stored
water quality threshold under different water consumption scenarios, obtain warning information;
Data extraction is carried out on water consumption load prediction value, and the predicted water consumption is substituted into the operation cost objective function to solve, and the optimal solution vector of the minimum cost of each water consumption subsystem
water supply scheduling is used to generate control instruction;Control instruction occurs to each controller to manage the operation state of each water consumption subsystem execution equipment.The application can realize on-demand
water supply and accurate
resource allocation of high-speed service area under
multiple factors change.