14 results about "Water age" patented technology

The invention discloses a water quality degradation early warning method and system for a water supply pipe network in a low-pressure area. The method comprises the following steps: S1, collecting topological structure data and pressure, flow, residual chlorine concentration and turbidity data of an urban water supply pipe network, and preprocessing the topological structure data and the pressure, flow, residual chlorine concentration and turbidity data; s2, constructing an initial node feature matrix, a pipe network node graph model, an adjacent matrix and a low-pressure area identification matrix; sequentially extracting a first pipe network spatial feature, a second pipe network spatial feature and a water flow stagnation time sequence feature, and fusing to obtain a space-time coupling feature; s3, extracting space-time coupling characteristics of the low-voltage area, and calculating to obtain a water age distribution matrix of each node of the low-voltage area; s4, residual chlorine attenuation characteristics are constructed, and then a low-pressure area residual chlorine concentration prediction sequence and a low-pressure area water quality degradation risk matrix are calculated; and S5, performing graded early warning. According to the method, the problems of inaccurate water age distribution inversion and inaccurate water quality risk prediction caused by residual chlorine attenuation prediction of the low-pressure area of the water supply network in a traditional method can be solved.

The invention relates to the technical field of water supply control, and discloses an intelligent quality-based pressure-superposed non-negative pressure water supply control system and method, and the system comprises a data collection control module, a volume identification module, a water age observation module, a mixing decision module, and an impedance verification module. The effective volume parameters of the steady flow compensation tank are inversed through the pressure response characteristics of the variable frequency booster pump set in the starting stage; dynamically calculating the hydraulic retention time in the tank based on the system flow and the effective volume; when the residence time exceeds a safety threshold value, a forced mixing strategy is generated, and municipal inlet water is driven to be mixed with residence water by adjusting the opening degree of a bypass electric adjusting valve and controlling a pump set to operate; and meanwhile, verifying the effectiveness of the mechanical action of the valve according to the deviation between the real-time power and the theoretical reference power of the pump set after the regulation instruction is issued. Volume parameters can be corrected in real time, aged water is actively replaced under the low-flow working condition, closed-loop verification is carried out on faults of an executing mechanism, and the water supply quality and the system reliability are guaranteed.

The invention discloses an intelligent water affair management system based on deep learning, and the system comprises a data collection and preprocessing module which is used for collecting the data of a water supply network and constructing a standardized water affair input tensor; the topology modeling module is used for generating a water supply pipe network diagram structure and diagram structure representation thereof; the state initialization module is used for fusing the input tensor and the graph structure to generate an initial state vector; the state evolution calculation module is used for establishing an augmented state evolution equation and carrying out adaptive integration to generate a prediction state sequence and source sink estimation; the multi-objective decision module is used for constructing a comprehensive cost function and generating a pump station and valve control instruction; the physical constraint projection module is used for executing water pressure, flow velocity and water age constraint projection and outputting an executable scheduling instruction; and the dynamic simulation feedback module is used for performing digital twin simulation and updating the model and sparse estimation weight. According to the invention, fine control and dynamic feedback optimization of the water affair system are realized, and the operation efficiency and the scheduling intelligence level are improved.

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.

The invention provides a multi-source energy supply water tank water age self-adaptive control method and device and electronic equipment, and relates to the technical field of water supply system monitoring control, and the method comprises the steps: calculating the water age of a to-be-controlled multi-source energy supply water tank based on an initial high liquid level threshold value, an initial low liquid level threshold value, the bottom area of the to-be-controlled multi-source energy supply water tank, and the average water flow calculated according to the historical water outlet flow; estimating the theoretical average water age under the current operation parameters; and based on the adjustment decision, updating a high liquid level threshold value and / or a low liquid level threshold value obtained by comparing the current liquid level value with the initial low liquid level threshold value and the initial high liquid level threshold value, so that the average water age of the to-be-controlled multi-source energy supply water tank in actual operation dynamically and stably approaches the target water age. Energy is supplied to the system through solar energy and a lithium battery, the water quality can be evaluated in real time, and on this basis, the high and low liquid level set values are dynamically adjusted, and the average water age of the water tank is actively controlled within a preset safety range.

The invention discloses a lake water age estimation method, electronic equipment and a storage medium. Comprising the following steps: acquiring multi-source remote sensing data, underwater topographic data, meteorological data and hydrological flow data of a target lake; performing inversion to obtain vegetation distribution data, and constructing a space-time dynamic resistance surface reflecting the motion resistance of water flow in the lake; at least one flow outlet of the lake is used as a source point, and the hydrological effective distance from each space unit in the lake to the source point is calculated based on the spatio-temporal dynamic resistance surface; estimating the reference two-dimensional water age of the lake; judging the vertical layering state of the lake, and calculating an aging coefficient representing the retention effect of a bottom water body; and correcting the reference two-dimensional water age by using the aging coefficient, and generating a lake three-dimensional water age field capable of reflecting plane and vertical differences. The problems that a traditional hydrological model is complex in calculation, seriously depends on dense field hydrological surveying and mapping and flow velocity observation, and is difficult to apply to large-range lake groups or areas lacking measured data are solved.

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.

The invention relates to a swimming pool water circulation filtration and energy consumption optimization control method and system, and belongs to the field of energy consumption control. The method comprises the following steps: acquiring swimming pool data, and constructing a three-dimensional water age field by establishing a water age field control equation; carrying out coupling transmission prediction based on the three-dimensional water age field, and outputting a pollutant concentration prediction map and a disinfectant concentration prediction map; a directional circulation strategy is generated based on the three-dimensional water age field, and optimized circulation system control parameters are obtained; on the basis of a directional circulation strategy, a pollutant concentration prediction map and a disinfectant concentration prediction map are combined, a disinfectant adding and water supplementing strategy is further optimized, and a comprehensive control instruction is output; and executing the comprehensive control instruction and carrying out real-time adaptive correction and learning optimization. According to the intelligent control method based on three-dimensional water age field modeling, coupling transmission prediction and multi-objective optimization, accurate, efficient and self-adaptive regulation and control of swimming pool water circulation and water quality management are achieved.

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 resource allocation scheduling method. The method comprises the following steps: mapping a sub-basin-plaque water demand grid of a distributed water demand model into a water demand boundary vector consistent with a pipe network node-segmental arc topology through a double-topology isomorphic mapper; a double-rate Runge-Kutta asynchronous coupler is embedded in a time axis, the macroscopic water demand trend and the microcosmic hydraulic fluctuation are alternately integrated, and an asynchronous flow driving sequence synchronous with the valve beat is generated; the sequence is input into a pipe network hydraulic solution kernel to calculate pressure, water age and water quality, and real-time calibration is carried out; and reversely correcting the crop coefficient and the soil water content through the adjoint sensitivity matrix, carrying out closed-loop iteration until error convergence, and finally outputting a valve regulation and control instruction to realize water demand-hydraulic heterogeneous closed-loop scheduling. According to the invention, efficient, accurate and closed-loop linkage between distributed day-by-day water demand and centralized real-time hydraulic power can be realized.

The invention discloses a method for estimating the age of lake water based on a hydrogen and oxygen stable isotope technology, and belongs to the technical field of hydrology and stable isotopes. According to the method, the lake water isotope mass balance model is constructed, the lake water age calculation formula is exported, various key parameters required by the lake water age calculation formula are determined and substituted into the formula for solving, the lake water age corresponding to each lake water sampling point position is output, the result is displayed, and lake water age estimation is completed. Compared with traditional water age simulation based on a lake hydrodynamic model, the method is simple in principle and efficient in operation, the dependency of an existing hydrological model on lake hydrological monitoring data during water age simulation is overcome, and the method is easily applied to water age estimation of shallow lakes.

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.

The invention belongs to the technical field of reservoir water environment prediction, and discloses a reservoir outlet water temperature rapid prediction method integrated with hydraulic connection. The problems that in an existing reservoir outlet water temperature prediction scheme, numerical simulation efficiency is low, and a machine learning model lacks physical process support of hydraulic connection and a time lag effect, so that robustness and applicability are poor are solved. The method comprises the following steps: collecting reservoir related data and scheduling data; establishing a numerical model to calculate the dam front water body water ages of typical years such as a wet water year, a flat water year and a low water year, screening water age abnormal values by adopting a Raida criterion, and determining the maximum reasonable water age; taking the maximum reasonable water age as a time sequence length of an input feature, and establishing a time sequence prediction model of historical boundary data and ex-warehouse water temperature based on an LSTM algorithm; in practical application, boundary data of the maximum reasonable water age length before a to-be-predicted time period is input into the trained LSTM time sequence prediction model, and a reservoir outlet water temperature prediction result is output.

The invention discloses a domestic water tank water age control system which is characterized in that a water replenishing pipe is communicated to a domestic water tank through a main water inlet pipe and an auxiliary water inlet pipe, a water supply pipe is communicated with the lower part of the domestic water tank through a water supply pump group, and a liquid level sensor is also arranged in the domestic water tank; a water replenishing flow meter is arranged on the water replenishing pipe, a water supply flow meter is arranged on the water supply pipe, and a main control valve and an auxiliary control valve are arranged on the main water inlet pipe and the auxiliary water inlet pipe respectively; the liquid level sensor, the water supply pump set, the water supplementing flow meter, the water supply flow meter, the main control valve and the auxiliary control valve are electrically connected with the control box. The water age of the living water tank is monitored and adjusted in real time by optimizing and selecting the volume of the living water tank, updating and designing the water inlet pipeline, monitoring the liquid level of the water tank and automatically controlling the water inlet valve, and the water age of the living water tank is controlled within a water age time period for ensuring fresh water quality.