43 results about "Source water" patented technology

The utility model discloses a kind of compressed air energy storage systems suitable for marine environment, it is related to compressed air energy storage technical field.It includes including n group compressor, n group heat exchanger, n group cooler and closed cooling water system, it is sequentially connected through heat exchanger and cooler between adjacent compressor, nth group compressor is sequentially connected with gas storage through nth group heat exchanger and nth group cooler;Cooler one end is connected with seawater condenser closed water inlet through cooler closed water outlet pipeline, the other end is connected with seawater condenser closed water outlet through cooler closed water inlet pipeline.The utility model uses seawater as cooling water source, water source is stable, conducive to system stable operation;Adopt seawater as cold source, inexhaustible, and seawater temperature fluctuation is small, it can be regarded as constant temperature within 1 energy storage period, conducive to seawater condenser temperature control.

The application relates to a cloud platform-based water resource management method, device, equipment and medium. The method integrates multi-source water data through a cloud platform, constructs a hierarchical Bayesian model after data cleaning, uniformly quantizes model parameters, input and posterior distribution of structural errors, drives ensemble Kalman filtering dynamic assimilation of real-time observation data based on the same, generates a prediction distribution fusing multi-source uncertainty, further analyzes the contribution source of prediction variance in real time through a Sobol' index, identifies dominant uncertainty factors, constructs a coupled error model according to the same, feeds the coupled error model back to the assimilation cycle as a state variable for online correction, and finally forms an improved prediction model capable of dynamically tracking and quantifying the uncertainty coupling propagation mechanism, thereby significantly improving the accuracy and reliability of hydrological prediction, and providing risk quantification basis and optimization scheme for flood control scheduling, water resource allocation and urban drainage management decision-making.

This invention proposes a single-point multi-source water quality monitoring system for factory-scale aquaculture, comprising an aquaculture pond, a microfiltration pond, and a biofilter pond that are sequentially fluidly connected and form a water circulation system. The system further includes a first water pump, a second water pump, and a third water pump respectively installed in the aquaculture pond, the microfiltration pond, and the biofilter pond. The output ends of the first, second, and third water pumps are fluidly connected to a measuring water tank via pipes. The measuring water tank is equipped with a multi-functional sensor for monitoring water quality. The bottom of the measuring water tank is fluidly connected to the microfiltration pond via a drain solenoid valve. The first, second, and third water pumps, the multi-functional sensor, and the drain solenoid valve are signal-connected to a core control board. This invention solves the problem of water quality monitoring and data comparison across multiple aquaculture water units in a factory-scale aquaculture workshop, and has advantages such as good stability, high integration, and low cost.

The application discloses a multi-heat-source hot water supply device and a multi-heat-source hot water supply control method. The multi-heat-source hot water supply device is provided with a circulating pipeline between a hot water outlet pipe and a return pipe, so that a circulating loop is formed between the hot water outlet and the return pipe of a hot water tank. The device starts the water pump in advance, and under the drive of the water pump, the hot water in the hot water tank and the cold water in each pipeline can circulate in the circulating loop, so that the hot water and the cold water are mixed, and the problem of the water temperature of the hot water outlet pipe being cold and hot at random when the device starts is solved. Moreover, the multi-heat-source hot water supply device can control the working states of the first pipeline switching mechanism, the electric heater and the gas water heater according to the outlet water temperature of the hot water tank detected by the temperature detection mechanism, so that hot water at different temperatures can directly flow out of the hot water supply pipe or flow out of the hot water supply pipe at a constant temperature through different heating paths, thereby solving the problem of the water temperature of the hot water outlet pipe being cold and hot at random during the working process of the device.

The application provides a water quality pollution monitoring method and device fusing multi-source data and a storage medium, and relates to the technical field of water quality monitoring. The method deeply integrates multi-source water quality data and monitoring point spatial topological information through key steps such as data preprocessing, cross-modal feature fusion, pollution concentration estimation and graph neural network tracing, and constructs a full-process automatic monitoring system. The application realizes end-to-end processing from data standardization to pollution emission source positioning, effectively breaks through the barrier of multi-source heterogeneous data, fully excavates the complementary value and spatio-temporal correlation law of different modal data, improves the integrity, accuracy and efficiency of water quality pollution monitoring, accurately locates the position of the emission source and the pollution diffusion path, provides full-link and targeted technical support for water quality pollution control and management decision-making, and solves the problems of low utilization rate of traditional monitoring data and insufficient tracing accuracy.

This invention discloses a method for joint allocation and optimization of multiple water sources in underground reservoirs, specifically relating to the field of water resource allocation technology. The method includes basic parameter acquisition and spatial coordinate alignment, grid cell dual-accessibility attribute labeling, grid-based reservoir capacity effectiveness classification and twin mapping construction, full-cycle supply and demand parameter collection and time-period segmentation, and time-period supply and demand matching and allocation scheme generation. This invention unifies the spatial benchmark of multi-source parameters through cross-data source spatial coordinate matching and alignment, achieving precise spatial correspondence between grid-level hydrogeological and engineering node parameters. It links the spatial matching of single grid cells with recharge and extraction nodes to aquifer parameters for accessibility labeling, classifies reservoir capacity effectiveness based on dual thresholds, constructs a reservoir capacity mapping with dual constraints, segments the entire cycle into equal-length time periods for matching supply and demand parameters, completes time-period supply and demand matching and reservoir capacity iterative updates, and achieves temporal linkage between recharge and extraction, accurately matching the spatiotemporal distribution of multi-source water supply and irrigation water demand.

This invention relates to the field of water pollution source tracing technology, and discloses a multi-dimensional parameter coupling method, device, equipment, and storage medium for water pollution source tracing. The method provided by this invention obtains a first similarity using water quality information corresponding to each pollution source water body in the water body to be traced; a second similarity using characteristic pollutant content information corresponding to each pollution source water body in the water body to be traced; and a third similarity using three-dimensional fluorescence data corresponding to each pollution source water body in the water body to be traced. Finally, a comprehensive similarity assessment method is used to obtain the comprehensive similarity between the water body to be traced and each pollution source water body. This overcomes the shortcomings of related technologies that can only macroscopically judge the degree of pollution and cannot pinpoint specific pollution sources. Furthermore, by utilizing complementary optimization through multi-dimensional parameter coupling, it significantly improves the accuracy and reliability of water pollution source tracing, providing strong technical support for precise treatment and efficient management of water pollution.

The present application relates to the technical field of water quality monitoring, in particular to a water quality residual chlorine online monitoring and optical alarm system based on DPD detection method, comprising a water quality multi-source data acquisition module for acquiring residual chlorine concentration and other multi-source water quality and process parameters; an edge computing module for fusion processing of multi-source data through its built-in data fusion and prediction analysis software system, outputting residual chlorine future change trend and risk probability by using a time series prediction model, and then dynamically mapping different risk levels and generating adaptive optical alarm control instructions; and an optical alarm module for driving a multi-color programmable light source unit according to the instructions to generate optical alarm signals with specific color, brightness, flashing frequency and mode combination strictly corresponding to the risk level. The present application realizes intelligent prediction and forward-looking hierarchical optical alarm of residual chlorine concentration, significantly improving the intelligent level and risk warning capability of water quality monitoring.

This utility model relates to the field of agricultural irrigation technology and discloses a multi-source water-saving drip irrigation structure, including a controller and a drip irrigation device. The drip irrigation device includes a water delivery pipe, one end of which is sequentially connected to a first control valve body and a first water pump. The first control valve body is used to control the on / off state and flow rate of the water in the water delivery pipe. One end of the first water pump is connected to a second control valve body, which is connected to multiple water sources. The water delivery pipe includes several coaxially detachably connected main water pipes, and several drip irrigation pipes are connected to the sides of the main water pipes. Each drip irrigation pipe includes several coaxially detachably connected branch water pipes. Drip irrigation heads are provided on the pipe walls of the drip irrigation pipes. The controller is used to control the first water pump, the first control valve body, and the second control valve body. This utility model has the effect of using multi-source irrigation, which can adapt to different planting areas.

The application discloses a kind of dynamic simulation equipment of power plant high-salinity wastewater treatment system, comprising: source water tank, ultrafiltration device, ultrafiltration water tank, activated carbon filter, circulating water tank, precision filter and reverse osmosis module communicated sequentially;The concentrated water outlet of reverse osmosis module is communicated with the water inlet of circulating water tank by concentrated water regulating valve, and the water outlet of reverse osmosis module is communicated with the water inlet of circulating water tank;Control feedback system is used to control water supply pump, pipeline valve and sensor in dynamic simulation equipment, to carry out simulation test under different working conditions, and to determine the fouling point according to the water quality change of circulating water tank.The application can carry out simulation test under different working conditions, improve the automation degree of test, and can accurately judge equipment fouling point.

The present application relates to a kind of desert underground-ground dual-source high-efficiency water collection equipment with pumping function, its structure is: ground water collection unit is connected with the water inlet of first wind energy pumping lifting unit by pipeline, the water outlet of first wind energy pumping lifting unit is connected with one end of dual-source water storage device;Underground water collection unit is connected with the water inlet of second wind energy pumping lifting unit by pipeline, the water outlet of second wind energy pumping lifting unit is connected with the other end of dual-source water storage device;Wherein the structure of first wind energy pumping lifting unit and second wind energy pumping lifting unit is same, including lifting pump, cam mechanism, sail mechanism and fixed pile;The power input end of lifting pump is connected with the output end of cam mechanism, the input end of cam mechanism is connected with the output end of sail mechanism;Air water vapor interception unit is set above ground water collection unit.The water collection equipment does not use external power supply, generates power by wind energy, and efficiently collects ground water, underground water, air moisture in desert area.

The embodiment of the application provides a kind of to groundwater's pollutant source analysis method and device, equipment, medium, it is related to environmental chemistry analysis technical field.The method comprises: water sample collection is carried out in the candidate pollution source sampling point of target groundwater, candidate pollution source water sample is acquired, and water sample collection is carried out in the downstream sampling point of target groundwater, downstream water sample is acquired;Wherein, target groundwater flows from candidate pollution source sampling point to downstream sampling point;According to candidate pollution source water sample, chemical composition feature extraction is carried out, and first chemical feature is obtained, and according to downstream water sample, chemical composition feature extraction is carried out, and second chemical feature is obtained;Similarity is calculated according to first chemical feature and second chemical feature, and target chemical feature similarity is obtained;According to target chemical feature similarity, target pollution source sampling point is determined from candidate pollution source sampling point.The embodiment of the application can improve the accuracy of pollutant source analysis.

This invention discloses a multi-source water supply scheduling method based on CNN-LSTM and multi-objective optimization. The steps include: collecting water quality monitoring data and engineering operation data from multiple water sources; constructing a water quantity-water quality coupling model using SWMM to generate spatiotemporal datasets under wet, dry, and wet hydrological scenarios; constructing a CNN-LSTM fusion substitution model after Max-Min normalization preprocessing; using Bayesian optimization of hyperparameters to achieve rapid water quality prediction; coupling this substitution model with the NSGA-II algorithm to generate a Pareto optimal solution set with water quality optimization, water diversion maximization, and water supply stability as objectives; and selecting the optimal scheduling scheme through AHP-CRITIC combined weighting and the TOPSIS method. This invention integrates the advantages of CNN spatial feature extraction and LSTM temporal modeling, solving the problem of inefficient computation in traditional models, achieving multi-objective collaborative optimization while considering both subjective and objective needs, adapting to different hydrological scenarios, and improving the flexibility and reliability of the water supply system.

The present application belongs to the technical field of urban public facilities equipment, and relates to a method for collecting and recycling urban rainwater, which comprises the following steps: (1) collecting water through a four-stage source water collecting channel; (2) collecting rainwater of the urban trunk road and the four-stage source water collecting channel into a three-stage trunk road water collecting channel; (3) collecting rainwater of the urban trunk road and the three-stage trunk road water collecting channel into a two-stage regional water collecting channel; (4) filtering and depositing rainwater collected by the two-stage regional water collecting channel in a filter and depositing pool; (5) flowing rainwater of the two-stage regional water collecting channel into an urban river or a first-stage urban water conveying pipeline, and finally flowing the rainwater into a suburban reservoir; (6) conveying water of the suburban reservoir to an upstream river through a return pipeline, and opening a water intake station at each section of the return pipeline; (7) configuring a solar power supply system for the urban river to supply power; and (8) cleaning the surface water collecting channel. The method can collect and utilize rainwater, avoid flooding of urban roads by rainwater, and improve the utilization rate of rainwater.

The utility model discloses a pet water dispenser, including host computer, be used for external water purifying water purifying tank, be used for sewage disposal sewage tank, drinking water tray, drive mechanism, circulating water supply mechanism, filter mechanism and cleaning mechanism, the drinking water tray sets up in the sewage tank top, the drinking water tray with drive mechanism connects, drive mechanism is used for driving drinking water tray rotates along horizontal axis, to pour the water in drinking water tray into sewage tank, circulating water supply mechanism is used for the water purifying tank in with drinking water tray is delivered, filter mechanism installs in sewage tank is used for filtering the sewage that drinking water tray pours out, the cleaning mechanism is used for removing the dirt on the surface of drinking water tray, the host computer is equipped with with drive mechanism, circulating water supply mechanism, filter mechanism and cleaning mechanism electric connection's controller. The problem such as need artificial adding water source, water source is not clean etc. that traditional pet water dispenser exists has been solved.

This application relates to an intelligent constant-temperature water heating control method, system, device, and medium. The method includes: acquiring multi-source water temperature data and performing adaptive Kalman filtering on the multi-source water temperature data to obtain a real-time state estimate; based on the real-time state estimate, performing feedback fuzzy inference to obtain a feedback control command, and based on the real-time state estimate, performing digital twin feedforward predictive simulation inference to obtain a feedforward control command; based on the feedback control command and the feedforward control command, performing adaptive weight fusion to obtain a preliminary optimized control command; based on a feedforward neural network compensation model, compensating the preliminary optimized control command to obtain a theoretical control command; and based on hard safety constraints, applying safety constraints to the theoretical control command to obtain a water heating control command. This method enables online self-tuning of PID parameters and active compensation for measurable disturbances, thereby achieving constant-temperature water heating control.

Disclosed in the present invention is a multi-source water supply system for a coal yard, comprising: a sedimentation unit used for collecting and treating wastewater from coal yard equipment; a water utilization end connected to the sedimentation unit; a collection unit used for collecting rainwater and coal yard spraying wastewater; and a treatment unit connected to the collection unit and used for treating the wastewater collected by the collection unit. The treatment unit is connected to the water utilization end, and can treat the collected rainwater and coal yard spraying wastewater and then supply same to the water utilization end for use. By providing a treatment unit, a collection unit, and a sedimentation unit, various water resources in a coal yard can be effectively collected and used after treatment, thereby effectively avoiding the waste of water resources.

The application discloses a kind of wetland water quality monitoring pollution source intelligent tracking method based on deep learning, to solve the problem that wetland hydrodynamic boundary is complex, parameter is difficult to obtain, leading to the position of pollution source is difficult to be stably deduced from monitoring result, large positioning error, the application is by obtaining wetland water system spatial data and water quality monitoring data and preprocessing to construct observation water quality time series and working condition time series, construct the initial map of wetland water system including monitoring point and candidate water inlet and candidate water inlet set;Time-varying adjacency matrix sequence, direction constraint matrix sequence and condition vector sequence are generated from working condition time series;Train the forward prediction model including the space-time graph Transformer network limited by direction-constrained attention and the conditional neural operator network modulated by condition vector;In candidate water inlet set, the pollution source parameter is iteratively updated with differentiable inversion optimization, and the maximum weight corresponding water inlet number and coordinate are output, realize the stable tracking positioning of pollution source water inlet and coordinate under the condition of dam scheduling, tide and other working conditions, improve inversion stability and reduce positioning error.

The present application belongs to the field of computer aided design and numerical simulation, and relates to a deposition dynamic feedback guided oyster reef induced salt marsh micro-landform construction method. The present application aims to solve the problems of dynamic deposition simulation and automatic layout optimization in coastal ecological restoration, and solve the problems that traditional static simulation cannot reflect dynamic deposition evolution and lacks automatic optimization mechanism. The present application firstly fuses multi-source water and sediment dynamic parameters to generate initial data, and constructs a dynamic deposition evolution model; then inputs initial oyster reef layout parameters to perform biophysical feedback simulation, and generates a sediment deposition atlas; finally analyzes the topographic elevation changes in the atlas, combines with salt marsh suitability indexes, and outputs an optimal layout scheme by using a heuristic search algorithm. The present application not only overcomes the limitations of traditional static simulation, but also improves the scientificity and calculation efficiency of ecological restoration engineering design, and has important application value.

The application provides a water depth mapping method and system based on multi-source data fusion analysis, and relates to the technical field of marine geographic information surveying and mapping. The steps of the method include obtaining ship AIS data and ship sounding data, and respectively performing pretreatment; a hybrid neural network model is used to repair the missing section of the ship AIS data track; the repaired ship AIS data and the ship sounding data are spatiotemporally fused and matched to obtain AIS composite water depth data; based on the AIS composite water depth data, the ship draft is corrected at the voyage section level, and combined with the tide data, a discrete water depth point set with the chart depth datum as the reference is inversely obtained; the discrete water depth point set is spatially interpolated to generate a continuous water depth surface model; multi-source water depth data is introduced to fuse and correct the continuous water depth surface model, an accuracy evaluation system is established to quantitatively evaluate the corrected continuous water depth surface model, and water depth mapping results and accuracy evaluation reports are output.

This application provides a water quality assessment method, apparatus, and electronic device, relating to the field of water quality testing technology. The method acquires multi-source water quality data, including at least one of laboratory testing data, real-time sensor monitoring data, and text report data. Based on the multi-source water quality data, a water quality knowledge graph is constructed. Entities in the water quality knowledge graph include at least pollution sources, water quality parameters, and monitoring points. The relationships between entities include at least the influence of pollution sources on water quality parameters and the monitoring relationships between monitoring points and water quality parameters. Based on the water quality knowledge graph, the entities and their relationships are analyzed to generate water quality assessment results. This achieves deep fusion and intelligent correlation analysis of multi-source heterogeneous water quality data, enabling accurate tracing of pollution sources, dynamic assessment of water quality risks, and improving the overall efficiency of water quality monitoring and assessment.

This invention proposes a dynamic water resource monitoring method based on multi-source data fusion, belonging to the field of environmental monitoring technology. It addresses the problem that current dynamic water resource monitoring methods fail to dynamically adapt and fuse multi-source water resource data in accordance with the characteristics of the water resource cycle. The method includes: 1. Collecting and preprocessing multi-source water resource data; 2. Performing heterogeneous adaptation, dynamically adjusting the adaptation strategy and fusion weights based on the water resource cycle to achieve deep fusion; 3. Identifying anomalies in the fused data and tracing their causes, using differentiated methods for repair, and reverse-calibrating the acquisition terminal parameters; 4. Conducting dynamic monitoring and prediction based on the repaired data; 5. Verifying the results from multiple dimensions and adaptively optimizing the fusion parameters; 6. Generating a monitoring report and linking the scheduling terminal to achieve closed-loop feedback. This invention adaptively sets a denoising threshold, uses temporal interpolation to fill missing values, and marks the spatiotemporal characteristics of the data, improving data quality from the source and meeting the requirements of deep fusion.

The utility model discloses a portable cleaning device, it includes casing, draws spare, fan spare and electrolytic spare, the casing is equipped with air cavity, water cavity, air inlet, air outlet and water delivery pipe, and air inlet and air outlet all are linked with air cavity, and draws spare is located at the casing, and draws spare is connected with water delivery pipe, and draws spare is linked with water cavity, and draws spare can drive the water in water cavity to output outside after passing water delivery pipe, and fan spare is located at air cavity, and fan spare can drive air to flow through air inlet and air cavity in proper order and send out at air outlet, and electrolytic spare is located at water cavity, and electrolytic spare can electrolyze the water in water cavity and make it produce bactericidal material. Through above -mentioned structure, on one hand, user only needs simple operation this portable cleaning device to complete the cleaning process of water washing, sterilization and disinfection and drying, on the other hand, electrolytic spare can electrolyze the water source water in water cavity to can reduce or eliminate the situation of secondary pollution to the cleaning object caused by the quality problem of the water used.

This invention relates to the field of irrigation district water situation data processing technology, specifically a real-time processing method for multi-source irrigation district water situation data based on edge computing. The method includes: acquiring a time-series data set based on the irrigation district water situation monitoring network; extracting the temporal coupling characteristics between water level and flow rate, the response characteristics between water level and gate opening, and the lag correlation characteristics between flow rate and soil moisture through cross-source data correlation analysis; constructing a multi-dimensional correlation feature set and building a dynamic water situation evolution map with monitoring point nodes, associated directed edges, and relational weights; inputting the map into a pre-trained water situation fusion model of the edge computing nodes for fusion calculation; generating a full-domain fused water situation status map containing calculated water level, flow rate, water level change trend, and estimated water consumption; quantifying the correlation degree of water situation points; reducing data transmission and processing latency; achieving deep fusion of multi-source water situation data; and fully presenting the overall water situation operation status of the irrigation district.

This invention relates to the field of precision irrigation and intelligent control technology in agriculture, and particularly to a method for precise irrigation control of maize throughout its entire growth period based on the spatiotemporal distribution of roots, using a synergistic water and heat management system. The method includes: Step S1, setting soil moisture thresholds, suitable temperature ranges, and canopy shading coefficients; Step S2, obtaining the first moisture level and first temperature of the irrigation trigger layer, the second moisture level and second temperature of the irrigation stop layer, and the source water temperature through a filtering algorithm; Step S3, calculating the effective heat volume of the surface soil using the canopy shading coefficient; Step S4, extracting temperature decay using a fitting algorithm to calculate the transient heat diffusivity; and Step S5, calculating the pulse start and intermittent durations for irrigation based on the effective heat volume and the transient heat diffusivity. In this invention, by introducing a canopy shading coefficient and dynamically calculating the effective heat volume of the surface soil using this coefficient, root heat stress caused by single-dimensional irrigation is avoided.

This utility model relates to the field of feeding equipment technology and discloses an automatic watering device for ducks, including a drinking base with an automatic water inlet component on top. After manually filling a water storage tank, the automatic water inlet component is threaded onto the water outlet of the storage tank. The storage tank is then installed inside the drinking base with a connecting cap. The drinking base causes a connecting rod inside the connecting cap to slide upwards along a limiting ring, simultaneously compressing a return spring. This allows water from the storage tank to enter the drinking base through a guide channel formed by the connecting rod. When the water level inside the drinking base reaches the bottom of the guide channel, the water will not continue to flow downwards due to equal pressure at the same level, thus achieving automatic quantitative water replenishment. This eliminates the need for repeated manual refilling of the drinking base, solving the problem of excessive manpower.

This invention discloses an integrated thermal management system and method for inland LNG vessels coupled with a water source heat pump, relating to the field of LNG-powered vessel technology. The system includes an LNG vaporization path, a main engine waste heat recovery path, a water source heat pump air conditioning circulation loop, a water source circulation path, a temperature control subsystem, and a controller. The controller is configured to: control the flow of water source water through the first-stage heat exchanger to absorb LNG cold energy and cool it down during summer cooling operation, and adjust the water pump speed and / or solenoid valve opening to maintain the water temperature entering the water source heat exchanger within a first temperature range; and control the flow of water source water through the third-stage heat exchanger to absorb waste heat from the main engine exhaust gas and raise its temperature, maintaining the water temperature within a second temperature range. This invention actively regulates the water source temperature to keep it within the optimal energy efficiency range, overcoming the influence of seasonal temperature fluctuations in river water and changes in main engine operating conditions, achieving efficient and stable utilization of LNG cold energy and main engine waste heat, and significantly improving the overall energy efficiency of the water source heat pump air conditioning system.

This invention relates to the field of intelligent water management technology, specifically disclosing a dynamic visualization and intelligent alarm method and system based on multi-source hydrological and rainfall monitoring data. The method acquires real-time monitoring data from multiple sources, such as water level, rainfall, and water depth, and uses an anomaly scoring model that integrates statistical deviation and rate of change for anomaly identification. In response to anomaly events, it triggers graded alarms according to severity levels and automatically generates a dynamic visualization interface including time-series curves, spatial heat maps, and a list of anomalous monitoring stations. Simultaneously, based on the visualization content and event type, a structured log draft is generated by a local lightweight language model. The system operates in a closed network environment and supports interactive chart linkage and localized processing. This invention achieves highly sensitive detection, intuitive presentation, and rapid response to hydrological anomalies, significantly improving duty efficiency and decision-making accuracy while ensuring data security.

The utility model discloses a double water source waterway structure of pure drinking tea bar machine, including water supply unit and outlet, with the water distribution seat of intercommunication water supply unit and outlet, water supply unit includes raw water tank and filter core group, and the output of raw water tank is provided with the external water tank interface between the input of filter core group, and external water tank interface is connected with water supply valve, and the first water supply channel of intercommunication raw water tank and filter core group is constituted in the external water tank interface, and the second water supply channel of direct connection filter core group input end, filter core group has first output end for discharging pure water, and second output end for discharging concentrated water, and the second output end is provided with concentrated water tank between the input of raw water tank, the third water supply channel of intercommunication second output end and raw water tank is constituted in concentrated water tank, and the drain port of intercommunication third water supply channel is provided on concentrated water tank.