4 results about "Water age" patented technology

The present application relates to the technical field of secondary water supply control, and particularly relates to a water tank water age monitoring and early warning method and system based on the Internet of Things, which can comprehensively acquire water tank water quality and user water consumption information through multi-modal data acquisition and fusion; can master water tank water age changes in real time, discover potential problem areas in time, and guarantee water tank water quality safety by constructing a dynamic model and identifying abnormal areas; can provide a benchmark for comparative analysis of abnormal conditions by determining normal flow areas, so that early warning processing is more targeted; can accurately evaluate the severity of abnormalities by quantifying the spectral shift distance of the coupling oscillation mode of abnormal and normal areas; can start adaptive sampling according to the spectral shift distance, dynamically improve the monitoring accuracy of abnormal areas, capture details of water age changes in time, and provide reliable data for prediction and early warning; and can predict water age mutations and generate graded early warning instructions by training a neural network, so as to facilitate relevant personnel to respond in time and reduce water tank water quality risks.

This invention discloses a multi-objective optimization method for lake ecological water transfer based on a surrogate model, comprising: constructing a lake basin hydrological model based on the SCS-CN model and the impervious area method; constructing an EFDC hydrodynamic model; estimating the average lake age based on the Lagrange particle tracking method, and estimating ecological water transfer carbon emissions based on the inflow of water transfer projects; training a surrogate model based on a random forest regression model, taking ecological water transfer control parameters and inflow of watershed into the lake as inputs, and the average lake age and ecological water transfer carbon emissions as outputs; constructing a multi-objective collaborative optimization model based on the surrogate model to minimize the average lake age and minimize ecological water transfer carbon emissions; and solving the multi-objective collaborative optimization model. This invention achieves joint optimization scheduling of water age improvement and carbon emission minimization in urban lake areas, enhancing the ecological stability and low-carbon operation capacity of urban lake areas, and can be applied to the field of ecological regulation technology.

This invention provides a multi-tank peak-shaving and water storage system and method, relating to the field of water tank storage technology. The system includes: collecting water tank data and real-time pipeline flow rate, and processing this data to obtain the peak water usage period, real-time water age, and predicted water consumption for future periods for each water tank; processing the real-time pipeline flow rate under each storage area, the predicted water consumption of each water tank, the peak water usage period, the real-time liquid level, and the real-time water age to obtain the storage high liquid level for each water tank during peak water usage periods, the off-peak high liquid level during off-peak water usage periods, and the valve-opening water intake period; controlling the corresponding water tank to fill to the storage high liquid level when the real-time liquid level reaches a preset minimum liquid level during the valve-opening water intake period or during peak water usage periods, and controlling the corresponding water tank to fill to the off-peak high liquid level when the real-time liquid level does not reach the preset minimum liquid level during the valve-opening water intake period or during off-peak water usage periods. The beneficial effect is to prevent artificially created peak periods caused by scheduling based solely on the data characteristics of a single water tank.

The invention discloses a water supply pipe network optimization scheduling method considering a water age nonlinear target, and the method comprises the steps: removing pipelines with small influence on water age, namely pipelines with small pipe diameter, small water flow and low water age sensitivity before iterative optimization, improving the iterative optimization efficiency of subsequent training, and efficiently obtaining a scheduling scheme of a water supply pipe network. According to the method, the upper limit and the lower limit of the set water age and the upper limit and the lower limit of the pressure are used for constructing an optimization objective function, so that an optimization result is prevented from deviating to a minimum or maximum water age node in a model training process, and the average water age and the water age deviation of the whole network can be remarkably reduced.