18 results about "Peak water" patented technology

The invention discloses a water hammer eliminating device and method based on cloud network intelligent interconnection, and belongs to the technical field of fluid conveying system safety protection. Aiming at the problems of response lag, node isolation, lack of predictive ability and poor fault tolerance of a traditional water hammer elimination device, the invention provides an intelligent protection scheme fusing cloud edge collaboration and physical data hybrid modeling. The device comprises a distributed data acquisition module, a water hammer elimination execution module, an intelligent control module and a cloud platform, real-time fluid parameters are collected, pipe network topological information is combined, the action time sequence is calculated based on the pressure wave propagation speed and the node distance, and pre-action is started before pressure waves arrive; a physical simulation model and an LSTM data driving model are fused to predict the water hammer risk, the safety redundancy time and the execution strategy are dynamically adjusted, and local autonomy and fault tolerance under communication interruption are supported. Millisecond-level pre-action and multi-node cooperative pressure relief are achieved, the water hammer peak pressure is remarkably reduced, and the safety and the intelligent operation and maintenance level of a complex pipe network are improved.

The present disclosure relates to the technical field of air energy water supply auxiliary, and one embodiment of the present disclosure provides an air energy water supply auxiliary device, which comprises a shell and a water tank, the water tank is installed inside the shell, a water supply pump is installed at the bottom of the water tank, the output end of the water supply pump is located outside the shell, a circulating constant temperature assembly is arranged on the water tank, a backflow pipe is installed on the side surface of the shell, a filtering assembly is arranged between the backflow pipe and the water tank, a circulating water pump is arranged on one side of the water tank, the suction end of the circulating water pump is communicated with the inside of the water tank, a pair of rectangular pipes are arranged on the side surface of the water tank, and the rectangular pipe located at the bottom is communicated with the output end of the circulating water pump. Through the above technical scheme, the technical problem that in the prior art, during the peak water consumption period, the cold water supplement amount suddenly increases, if the heating rate cannot be matched in time, the water temperature will suddenly drop; and during the low water consumption period, the water body stays in the pipeline for too long, and the temperature imbalance is easy to occur due to heat dissipation, affecting the user's use comfort.

The invention discloses a multi-dimensional water supply dynamic scheduling decision-making system based on digital twinning. The system comprises a multi-source data fusion module, a digital twinning body construction module, a water consumption prediction module, an optimization scheduling module, a water supply path optimization module and a feedback module. The multi-source data fusion module is used for collecting physical sensing data flow and external data flow of the water supply pipe network, performing fusion processing on the physical sensing data flow and the external data flow and static data, and constructing a water demand feature library; the digital twin building module can build a three-dimensional geometric model based on static data; the water consumption prediction module can calculate a final water consumption demand prediction value based on a pre-trained hybrid prediction model. According to the method, the water demand feature library is constructed, the hybrid prediction model is adopted, and multi-dimensional external data streams such as historical water consumption, weather forecast and public calendar are fused, so that high-precision and multi-scale prediction can be carried out, and peak water shortage and valley energy waste are avoided.

Based on the reclaimed water low-source high-peak water supply technology under the AI digital condition, the system breaks through the limitation of a centralized water supply mode of a traditional reclaimed water system by surrounding five core functions of multi-water-source collaborative water taking, intelligent pipe network scheduling, distributed water storage adjustment, nearby multi-water-quality water supply and automatic control system linkage; the modular and distributed design concept is innovatively introduced, and the AI algorithm and the Internet of Things sensing technology are combined, so that intelligent linkage and on-demand adjustment of the whole process from water taking, processing, conveying, water storage to water supply are achieved.

The invention discloses an intelligent water conservancy monitoring method for sudden water rising of a river in a flood season, and relates to the technical field of water conservancy projects. Analyzing to obtain a floating deviation value of a normal water level; taking a river water part above the reference surface and located in the target monitoring area as a feature part; analyzing to obtain a moving speed and a shape vector of the feature part; establishing a water rising pre-estimation model, and estimating to obtain the peak water level and the peak speed of the target branch; the confluence water level of the target branch in the target branch set after confluence in the target river is obtained through estimation, and the critical water level of rising water of the target river is obtained through analysis. By classifying the target branch according to the water rising relevance, forming the floating deviation value and estimating the peak water level and the peak speed of the target branch, the confluence water level after confluence in the target river can be predicted according to the obtained parameters, and therefore the scale of the water rising situation which does not occur yet can be predicted.

The invention discloses a double-tank water softener and a control method thereof, and belongs to the technical field of water softening treatment.The double-tank water softener can flexibly adapt to different water use requirements, specifically, the double-tank water softener automatically enters a series connection mode during high-hardness water inflow, and the effluent quality is ensured through two-stage treatment; when large-flow water supply is needed, the parallel connection mode is automatically switched, so that the instantaneous peak water demand is met; under the normal condition, the system operates in a one-use and one-standby mode, so that alternate work of producing water by one resin tank and standby by the other resin tank is realized, and continuous soft water supply is guaranteed. Therefore, the defects that a traditional water softener is fixed in working mode and cannot automatically adapt to water quality and flow change are effectively overcome, and the continuous water supply quality can be improved while high-hardness water inlet and large-flow water supply are both considered.

The application discloses a valley type tailing pond flood runoff prediction method based on dynamic correction of underlying surface parameters, comprising the following steps: S1, obtaining multi-source data of the valley type tailing pond for pretreatment, and constructing a basic database; S2, obtaining underlying surface parameters of the valley type tailing pond, and determining initial value ranges of the parameters; S3, establishing a dynamic correction model of the underlying surface parameters, setting differentiated runoff and confluence parameters for different regions, and performing dynamic correction; S4, constructing a coupled hydrology-hydrodynamic model, simulating a runoff formation process and time-varying characteristics, and outputting prediction values of runoff flow, flood peak time and flood peak water level, and verifying and calibrating the prediction values by comparing measured values of historical flood inundation areas of satellite remote sensing images; and S5, inputting real-time data into the hydrology-hydrodynamic model, and predicting a flood runoff inundation range, inundation time and inundation degree based on a geographic spatial analysis method. The application realizes the improvement of timeliness and accuracy of runoff prediction in small watershed regions of the valley type tailing pond and the like without runoff data.

The invention discloses a water supply method and system for terminal processing and storage-tank-free distribution of non-distillation water for injection and a readable storage medium. The method comprises the following steps: terminal processing; sequentially carrying out first ultraviolet treatment and second ultraviolet treatment on the reverse osmosis produced water, and then carrying out continuous electrodeionization treatment; wherein the first ultraviolet treatment is carried out after multiple times of cyclic irradiation and then the second ultraviolet treatment is carried out; performing distribution; and on the basis of the real-time requirements of the water consumption points, the qualified injection water is distributed to the water consumption points without storage tanks by regulating and controlling the water supply flow. The problems of insufficient water supply during peak water consumption, water quality fluctuation, microorganism breeding risk, low terminal processing efficiency, equipment reliability, energy consumption and the like in the traditional production and distribution process of the non-distillation injection water are solved; the equipment corrosion risk can be reduced, microorganism breeding is inhibited, continuous high purity and safety of water quality are ensured, energy consumption is reduced, and water supply stability is improved.

The invention relates to a dual water supply method and system for direct drinking water, and relates to the technical field of water treatment.The dual water supply method comprises the steps that water consumption behavior information and regional water quality parameters of a preset water consumption region are collected; obtaining regional water consumption time periods and water quality standard parameters according to the water consumption behavior information; a peak water consumption period is obtained based on the regional water consumption period, and the current time is collected; if the current time is consistent with the peak water consumption period, combining the regional water quality parameters with the water quality standard parameters to generate water quality treatment parameters; based on the water quality treatment parameters, water quality treatment is conducted on water used in the water using area, and area water supply is conducted. The device has the effect of improving the water quality in the peak period.

The invention discloses a photovoltaic array capacity optimization method and device for a solar lifting irrigation system, relates to the field of new energy, and is used for minimizing photovoltaic array installed capacity design and energy storage distribution reduction. The method comprises the following steps: acquiring basic parameters of a solar lift irrigation system, and correcting peak water power of the system based on the basic parameters to obtain basic photovoltaic array installed capacity; under the condition that the daily water supply constraint condition is met, the minimum feasible photovoltaic array installed capacity and the corresponding energy storage configuration are calculated through a binary search method based on the basic photovoltaic array installed capacity with the purpose of minimizing the photovoltaic array installed capacity and the energy storage capacity. The method is simple in process, high in pertinence, robust in optimization result, easy to deploy and high in expansibility.

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 provides an ecological scheduling water demand determination method for promoting spawning and breeding of drifting fishes, and relates to the technical field of ecological scheduling, and the method comprises the following steps: determining the peak generation water demand of an ecological scheduling control section, the peak generation water demand representing the water amount required by breeding of the drifting roe fishes; determining the tank storage water demand of the ecological scheduling interval water project, and determining the total water demand according to the peak generation water demand and the tank storage water demand; performing feasibility verification on the total water demand through a pre-constructed water resource configuration model, and determining and implementing a scheduling scheme based on the total water demand under the condition that a verification result meets a preset condition; wherein the water resource configuration model is used for simulating the available water amount of the ecological scheduling interval in the scheduling time period according to the long-series historical runoff data in the ecological scheduling interval. According to the invention, the method for quickly and efficiently determining the water demand of ecological scheduling for spawning and breeding of the drifting fishes is realized.

The present application belongs to the technical field of flood prevention early warning monitoring, and relates to a water conservancy hub flood prevention early warning monitoring method based on radar and satellite data. The present application identifies cloud cluster active areas by fusing satellite cloud top brightness temperature and radar echo data, generates multi-level initial early warning signals according to the change trend of the overlapping area, dynamically adjusts the collection frequency according to the early warning level, calculates the rain intensity cumulative amount and water level rising gradient, deduces the dam front water level prediction sequence and extracts the peak value, generates the updated early warning signal in combination with the predicted peak water level, the current water level and the flood control water level relationship, sets the level comparison to adjust the collection frequency, and takes the updated signal as the next round of input to realize closed-loop iteration. The present application solves the problems that the traditional method cannot lock the high-risk area in advance, the monitoring frequency is fixed, the future water level and the early warning level cannot be predicted, and the early warning level frequently switches, and realizes the proactive early warning before the flood, the dynamic optimization of monitoring resources, the advanced water level prediction and the stable update of early warning.

The present application relates to a kind of based on design atlas gas water heater water stop temperature rise prediction method, equipment and medium, comprising: the design parameter of gas water heater is obtained, design parameter includes: heat exchanger mass, heat exchanger material specific heat capacity, stagnation water mass and the specific heat capacity of water;According to design parameter, obtain dimensionless heat capacity ratio, and obtain purging air mass flow;Dimensionless heat capacity ratio and purging air mass flow are input to pre-constructed water stop temperature rise design atlas, and water stop temperature rise design atlas is with dimensionless heat capacity ratio as horizontal axis, purging air mass flow as vertical axis, peak water temperature as the parameter space atlas of contour line;According to the position of dimensionless heat capacity ratio and purging air mass flow in water stop temperature rise design atlas, output corresponding peak water temperature prediction value.Compared with prior art, the present application has the advantages of fast prediction, precision reliable and high degree of visualization.

The application discloses an intelligent water conservancy monitoring method for sudden flood rise of a river in a flood season, and relates to the technical field of water conservancy projects, which comprises the following steps: obtaining at least one target tributary set; analyzing a floating deviation value of a normal water level; regarding a part of river water above a reference surface and located in a target monitoring area as a characteristic part; analyzing a moving speed and a shape vector of the characteristic part; establishing a flood rise estimation model to estimate a peak water level and a peak speed of the target tributary; estimating a confluence water level of the target tributary in the target river after confluence, and analyzing a critical water level of the target river in the flood rise. Through the classification of the target tributary according to the correlation of the flood rise, the formation of the floating deviation value, and the estimation of the peak water level and the peak speed of the target tributary, the confluence water level after confluence in the target river can be predicted according to the obtained parameters, so that the scale of the flood rise that has not yet appeared can be predicted.

The application provides a flood process adaptive identification method and system, comprising: preprocessing water level data, obtaining a water level time sequence, and adaptively binning the water level time sequence to obtain a water level grade sequence; performing frequency statistical analysis on the water level grade sequence to obtain a regular water level grade; traversing the water level time sequence to obtain a flood peak point, constructing two dynamic sliding windows on both sides of the flood peak point and relatively moving away from the sliding, combining the regular water level grade and the monotonicity of the water level change trend in the dynamic sliding window to obtain a flood start point and a flood end point; recording the time sequence from the flood start point to the flood end point, in which the water level value corresponding to the flood peak point is higher than the peak water level threshold, as a single flood process and removing it, iteratively processing the remaining data, and finally integrating all single flood processes into a flood process data set for output. The application aims to realize an automatic, efficient, accurate and standardized flood identification process.

This invention relates to the field of hot water supply equipment technology, and more particularly to a hot water supply system with grid peak-shaving function. It includes a water tank, a liquid storage shell fixedly connected to the water tank, a third pipe connecting the liquid storage shell, a first fixed shell fixedly connected to the water tank, an electric heating rod fixedly connected to the first fixed shell, a rotating ring rotatably mounted on the first fixed shell, a second fixed shell rotatably mounted on the rotating ring, a second circulation pump mounted on a connecting plate of the water tank, a fourth pipe connecting the liquid storage shell and the second circulation pump, a fifth pipe connecting the second fixed shell and the second circulation pump, and a sixth pipe connecting the first fixed shell and the liquid storage shell. This invention uses the liquid storage shell as a transfer storage chamber to prevent the hot water temperature in the water tank from dropping, while the electric heating rod heats water and stores it in the water tank during off-peak electricity usage periods, reducing the electricity load during peak water usage periods.

This invention relates to a method for predicting and coordinating flood hammer in a multi-pump water supply system, comprising: pump system initialization and characteristic curve calibration; real-time data acquisition and acceleration calculation; threshold judgment and event identification; control execution; multi-pump collaborative control; and online parameter learning and optimization. This invention, through joint judgment of flow rate, pressure, and acceleration, can provide early warning and initiate response before the arrival of water hammer or flood peaks, reducing the response time by more than 50% compared to traditional PID control. This effectively suppresses peak water hammer pressure, reduces the risk of pipeline rupture, and extends the service life of the pipeline network. This invention avoids frequent adjustments through dynamic threshold control, and combined with an energy-optimized response strategy, can reduce system energy consumption by 10%–20%. The multi-pump collaborative control effectively avoids resonance problems during parallel operation, improves system stability, and has adaptive control parameter capabilities, enabling online learning and adjustment based on actual operating conditions, making it suitable for various complex water supply scenarios.