350 results about "Lake water" patented technology

The invention relates to the technical field of water level and water surface relation analysis, in particular to a lake water level and water surface relation analysis method based on a DEM and a remote sensing image, which comprises the following steps of: based on DEM and remote sensing image data, analyzing a space relation between measured data and the DEM, correcting abnormal elevation and adjusting original data, screening boundary points with small elevation difference, and calculating the water level and water surface relation of a lake; and performing statistics on water surface areas under different water levels to obtain a water level area change sequence. According to the method, through cooperative adjustment and automatic fusion based on multi-source spatial data, through elevation correction, spatial anomaly screening and time sequence change tracking, the consistency of spatial data is improved, elevation anomaly information is dynamically corrected, the discrimination capability of a water body spatial distribution boundary is enhanced, and dense water surface change information extraction is realized based on spatial overlapping data; the space node and area change trend under the water level grading condition can be automatically concluded, and the dynamic response characteristics of the lake space structure can be systematically reflected.

The invention belongs to the technical field of river and lake water quality monitoring, and discloses a river and lake water quality intelligent traceability monitoring system and method.Dissolved organic matter fluorescent fingerprints are analyzed in real time through a three-dimensional fluorescent monitoring unit, pollution markers are detected, and parameters such as COD, ammonia nitrogen and total phosphorus are synchronously detected through a full-spectrum monitoring unit; the video monitoring unit is used for collecting section images / videos of rivers and lakes, other sensors are used for collecting real-time values of chlorophyll, pH, conductivity, turbidity and dissolved oxygen in a water body, then the data processing module is used for carrying out normalization processing on multi-source data, and the analysis and early warning module is used for analyzing water quality early warning scores, spectrum early warning scores and video early warning scores. All scores are synthesized to obtain a comprehensive early warning score, traceability is started when comprehensive early warning is larger than or equal to the grade II, pollution sources are recognized based on three-dimensional fluorescence spectrum comparison and upstream patrol, and a river and lake water body monitoring-early warning-traceability-verification closed loop is achieved.

The invention relates to the technical field of environment intelligent supervision, and discloses a visual river and lake water area health ecological supervision and management system. A data acquisition and feature extraction module of the system is responsible for acquiring multi-source ecological monitoring data of water areas of rivers and lakes, extracting spatial change features of motion trails of aquatic organisms and a time sequence of water quality parameters from the data, and identifying abnormal features according to an index variation mode corresponding to a predefined ecological health level; and generating an ecological health abnormity response label set associated with the specific geographic position. And the health state analysis module obtains key information of the marked water area section based on the label set, analyzes a change track and a deviation interval of the health state in the supervision time frame, and determines a health state lagging time period. And the evaluation delay processing module is used for extracting related time information to calculate a time difference according to the water area subareas related to the lagging time period, screening out the water area subareas which are not evaluated completely and sorting the water area subareas, and generating an adjustable configuration scheme of the monitoring time period of the water area subareas.

The invention discloses a river and lake water bloom prediction method and system based on an integrated diffusion learning model, and the method comprises the steps: carrying out the preprocessing of an original water quality time sequence according to the water quality monitoring data of a target river and lake region, and constructing a standardized water quality time sequence input data set; disturbing the data set based on a conditional diffusion generation model, and constructing a plurality of initial condition diversified input disturbance sets; a plurality of input disturbances of the disturbance set are sent into a deep neural network prediction model for parallel prediction, so that a plurality of algal bloom prediction orbits are formed to jointly form an integrated prediction result under disturbance driving; and statistical analysis and fusion processing are carried out to form prediction result distribution with uncertainty quantification capability, and visual display is carried out. According to the method, the uncertainty of the prediction result can be quantitatively described while the prediction precision is kept, and a more reliable decision basis can still be provided for water environment scheduling, ecological early warning and emergency response especially under extreme hydrological conditions such as flood and drought.

The invention relates to an anti-impact biological membrane purification device for river and lake water bodies. The problems that in the prior art, a biological membrane bed is poor in impact resistance, and a biological membrane is prone to falling off due to high-speed water flow are solved. The device comprises a floating carrier frame, the lower end of the floating carrier frame is connected with a foldable biological membrane assembly, the lower side of the floating carrier frame is connected with a floating and sinking adjusting mechanism, the floating carrier frame is provided with a flow velocity sensor used for detecting the flow velocity of a water body, and the flow velocity sensor is connected with a control module. And the control module is respectively connected with the foldable biological membrane assembly and the floating and sinking adjusting mechanism for controlling signal transmission. The device has the advantages that the dynamic deformation adjustment of the biological membrane main body under high-speed water flow is realized, the falling risk of the biological membrane main body caused by hydraulic impact is obviously reduced, and the practical effect is good.

The invention provides a water receiving lake water quality analysis method and system in a water diversion project combined with multi-source data fusion, and relates to the technical field of water resource management and analys.The method comprises the steps that firstly, field domain basic data are collected, and a water quality association field is constructed; performing interaction relationship modeling operation on the field domain units to obtain a field domain unit interaction model; performing dynamic coupling fusion processing on the field domain basic data based on the field domain unit interaction model to generate coupling water quality data; combining the water quality associated field domain change trend data with the coupled water quality data to deduce a water receiving lake water quality trend evolution path; and finally, identifying the core interaction unit and generating a water diversion project water quality dynamic regulation and control scheme in combination with the trend evolution path. The system can comprehensively analyze the water quality of the water-receiving lake, realizes accurate dynamic regulation and control, and ensures the stability of the water quality.

The invention belongs to the technical field of river and lake water ecological restoration, and particularly discloses equipment and a method suitable for river and lake endogenous polluted sediment treatment, the equipment suitable for river and lake endogenous polluted sediment treatment comprises a material stirring unit and a curing granulation unit, the material stirring unit comprises a horizontal stirring machine box and is used for stirring and mixing raw materials, and the curing granulation unit is used for curing and granulating the raw materials; one side of the horizontal stirring machine box is connected with a loess spiral feeder, a bottom mud spiral feeder and a curing agent spiral feeder, and a loess crusher is connected between the loess spiral feeder and the horizontal stirring machine box. According to the method, the polluted bottom mud is efficiently converted into the ecological restoration matrix which is resistant to water flow scouring and stable in physical structure through a curing granulation process, the matrix can be directly applied to an underwater environment, and the core problem that existing ecological planting soil prepared through bottom mud recycling cannot be stabilized in a water area is solved; and a key matrix material is provided for in-situ construction of an underwater ecological system such as an underwater forest.

The invention provides a lake water body purification and ecological restoration method based on a biotechnology. The method comprises the following steps: S1, collecting and analyzing basic data of a lake water body; s2, screening and culturing dominant microorganisms; s3, making an ecological restoration scheme; s4, putting a microbial agent and planting aquatic plants; s5, monitoring the water body remediation process; and S6, repairing effect evaluation and scheme adjustment. According to the method, the degradation efficiency and the environmental adaptability to target pollutants are remarkably improved, an efficient functional microbial agent is provided for precise repair, a microbial culture optimization model is constructed by utilizing a dynamic programming algorithm, and a nutrient substance adding strategy and a culture period are precisely regulated and controlled in combination with the growth dynamic characteristics of strains. On the premise of ensuring the concentration and activity of the microbial inoculum, the resource consumption and time cost in the culture process are effectively reduced, the economical efficiency and reliability of microbial inoculum production are improved, and a foundation is laid for large-scale engineering application.

The invention discloses a lake water quality prediction method and system based on a hybrid neural network, and a computer readable storage medium, and belongs to the field of environmental science engineering and deep learning. The method comprises the following steps: screening original water quality data, removing abnormal values, performing linear interpolation, dividing a training set and a test set, decomposing a sequence by using VMD, optimizing VMD parameters by using PSO, reconstructing a new sequence with noise removed, and finally performing prediction by using LSTM-KAN. Through verification of total phosphorus concentration data of four sections of the Dian Lake, comparison with LSTM, VMD-LSTM, VMD-LSTM-KAN and LSTM-KAN models is carried out, and a correlation coefficient (), a mean absolute error (MAE) and a root-mean-square error (RMSE) are selected to evaluate precision. The result shows that the PVLK model has the best performance in single-step and multi-step prediction, the total phosphorus concentration prediction of each section can be kept at 0.75 in 10-step prediction with the step length of 4 hours, the applicability to time sequence data containing abnormal values and high sampling frequency is good, and efficient prediction of lake water quality is effectively promoted.

The invention provides a closed watershed lake water level evolution prediction method based on multi-source data, and relates to the technical field of hydrological resources. The method comprises the following steps: firstly, collecting natural environment and social economic multi-source data of a closed drainage basin, and constructing a normalized multi-source feature input matrix; carrying out total element analysis on the features and extracting a nonlinear response threshold value; and meanwhile, Mantel statistical test is executed on the feature matrix to obtain a statistical correlation coefficient. And judging the characteristics which simultaneously meet the statistical significance and mechanism threshold conditions as real causal driven factors, and eliminating false related factors which are statistical significance but have no physical threshold. And finally, reconstructing a prediction model based on the screened causal-driven feature set, and outputting a water level evolution prediction value. Through'statistics-mechanism 'dual verification, interference of false correlation is effectively eliminated, the problem that a traditional black box model cannot distinguish causal and coincident trends is solved, and physical interpretability and robustness of water level prediction are remarkably improved.

The invention discloses a lake water quality abnormity monitoring method and system based on multi-source sensing data fusion, and the method comprises the steps: collecting water quality data through a multi-source sensor, and obtaining high-quality fusion data through weighted fusion and Kalman filtering processing; and an abnormal threshold is dynamically adjusted in combination with a seasonal baseline, and a polluted area is accurately identified. Incremental sensor layout is optimized based on hydrological characteristics, a fusion network is expanded through an adaptive algorithm, and monitoring coverage and data consistency are improved. A comprehensive abnormal index is constructed by utilizing principal component analysis and multi-parameter coupling, so that time-space accurate positioning and visual display of lake water quality abnormity are realized, and intelligence, real-time performance and early warning capability of water quality monitoring are remarkably enhanced.

The invention discloses a contribution decomposition calculation method for lake expansion. The contribution decomposition calculation method comprises the following steps: extracting a lake area through a remote sensing image and a digital elevation model, inverting water volume change, judging a rainfall phase state by using a temperature threshold method, estimating ice and snow ablation amount in combination with a degree-day factor method, and calculating a glacier runoff total amount; constructing a single-layer evaporation model, calculating flux of net radiation, sensible heat, latent heat, water body heat storage and the like based on a lake surface energy balance equation, and obtaining daily lake surface evaporation capacity; quantile mapping and Bayesian fusion are combined, and lake surface rainfall is corrected; non-glacial runoff is calculated according to a lake water balance equation; dividing a stable period and an expansion period according to the lake area trend, calculating an abnormal value of the expansion period by taking the hydrological mean value of the stable period as a reference, and finally determining the expansion contribution of each hydrological factor according to the increment proportion of the abnormal value in the total water quantity. Through the method, the contribution intensity of different driving factors is determined, scientific support is provided for lake change simulation and evolution prediction, and ecological protection and management strategies are more targeted.

The invention discloses an ecological environmental pollution risk assessment method and system based on big data, and relates to the technical field of environmental pollution assessment, and the method comprises the steps: taking a rainstorm event as a trigger, constructing an event alignment data set, fusing rainfall radar, remote sensing covering, soil humidity, topographic convergence, farming activity agency, and river and lake water quality and flow related data, and obtaining a risk assessment result; inverting a sub-basin nutritive salt potential releasable amount index and generating an event propagation weight, combining with an event-driven coupling evaluation model constructed by historical events, outputting a transient river-entering load and a composite risk index, and further giving a risk contribution sequence and a minimum intervention set; and integrated early warning and decision support of source control before the rainstorm, interception in the rainstorm and restoration after the rainstorm is realized.

The invention discloses an automatic water body extraction method based on a decision tree and a random forest, and relates to the technical field of water body remote sensing monitoring, the method is based on multispectral remote sensing data, through water body index calculation, Hot index calculation and gradient calculation, rough classification results of water bodies, lands and clouds are extracted, and the rough classification results of the water bodies, the lands and the clouds are extracted; random sampling is carried out on the rough classification result to generate training samples of a water body, land and cloud; constructing a feature set containing spectral features, texture features and principal component transformation features; and inputting the training sample and the feature set, training a random forest model, and performing water body classification prediction on the remote sensing image by using the model. According to the method, a simple decision tree and a random forest are combined for water extraction, automatic extraction of samples is realized, automatic recognition of lake water is further realized, the water and shadows are effectively distinguished through gradient features and texture features, cloud and clear sky pixels are accurately separated by utilizing a hot index, the cloud is prevented from polluting training samples, and cloud layer interference is avoided.

The invention belongs to the field of intelligent fishing, and discloses an intelligent fishing system which is provided with an advanced sensor, a camera and an AI recognition module and is used for automatically recognizing and processing fishes. When a fish enters the fishing box, the sensor detects the existence of the fish, the camera records an image of the fish and uploads the image to the AI system for feature recognition such as type, size and gender, and after recognition is completed, the system judges whether the fish is a target object or not, guides the fish to a collection net if the fish is the target fish, and releases the fish if the fish is not the target fish. A passive fishing tool, a fish recognition box and artificial intelligence control equipment are combined into a whole, and the deep influence on scientific research, monitoring and commercial fishing is achieved; different from an active fishing method which is intensive in labor and high in cost, the device is a tool which is low in manpower, high in efficiency and controllable in cost, and is suitable for various river and lake water bodies in the Yangtze River basin and the Misxiche River basin; by integrating AI identification and a fishery management model, huge advantages can be brought to researchers, resource managers and fishery practitioners.

The invention discloses an ice lake water depth isobath estimation method, system and device and a storage medium, and belongs to the technical field of ice lake water depth measurement and estimation. Comprising the steps that basic ice lake data of a target area are acquired, and the basic ice lake data comprise the ice lake area, the ice lake volume, the maximum depth of the ice lake and contour data; extracting morphological parameters of the ice lake from the contour data; fitting based on the empirical relationship between the ice lake volume and the ice lake area to obtain a volume-area fitting formula; fitting is carried out based on the empirical relation between the ice lake area and the maximum depth, and a volume-maximum depth fitting formula is obtained; calculating a theoretical glacial lake volume based on a similar scaling hypothesis of an isobath; a volume-area fitting formula, a volume-maximum water depth fitting formula and an isobath similar scaling hypothesis are combined, and the relation between scaling factors and the depth and area of the glacial lake is determined; generating an ice lake isobath; according to the method, the accuracy, stability and credibility of estimating the ice lake water depth isobath and the terrain can be improved.

The invention discloses a space-time fusion method for lake chlorophyll a concentration remote sensing inversion, and relates to the technical field of environment monitoring. Wherein a plurality of chlorophyll a concentration inversion graphs are generated through multi-source satellite data, space, time and attribute three-dimensional features are extracted based on the plurality of chlorophyll a concentration inversion graphs, and finally collaborative fusion of multi-dimensional features is realized through a tensor fusion mechanism. Thus, through integration of multi-source remote sensing images, high temporal-spatial resolution extraction of the lake surface chlorophyll a is realized, cooperative utilization of multi-dimensional features is completed in a decision-making layer, fundamental bottlenecks of a traditional fusion method in the aspects of physical significance transparency and data universality are overcome, the temporal-spatial change trend of lake water quality parameters can be further mastered, and the method is suitable for being applied to lake water quality monitoring. And the development of lake water environment research is further promoted.

The application discloses a preparation method and application of blue-green algae-based biochar with Fenton-like oxidation function. The preparation method comprises the following steps: (1) selecting an iron-containing flocculant, adding the iron-containing flocculant into natural lake water containing blue-green algae, and then performing sufficient stirring, standing, filtration, drying, crushing and sieving to obtain blue-green algae powder; (2) placing the blue-green algae powder in a tubular furnace for pyrolysis treatment to obtain preformed carbon; then, immersing the preformed carbon in an activating agent solution, performing sufficient immersion, drying, placing the preformed carbon in the tubular furnace for activation treatment, and finally performing heat treatment under air atmosphere to obtain blue-green algae-based biochar material with Fenton-like oxidation function. The application provides application of the prepared blue-green algae-based biochar in dye wastewater treatment, and the dye wastewater treatment is performed in the presence of hydrogen peroxide, and the blue-green algae-based biochar has high degradation removal rate and high stability.

The application discloses a lake expansion contribution decomposition calculation method, extracts lake area and reverses water quantity change through remote sensing image and digital elevation model, discriminates precipitation phase state by using a temperature threshold method, estimates ice and snow ablation amount by combining a degree-day factor method, and calculates total glacier runoff; a single-layer evaporation model is constructed, net radiation, sensible heat, latent heat and water body heat storage and other fluxes are calculated based on a lake surface energy balance equation, and daily lake surface evaporation is obtained; quantile mapping and Bayesian fusion are combined to correct lake surface precipitation; non-glacier runoff is calculated according to a lake water balance equation; the stable period and the expansion period are divided according to the lake area trend, the stable period hydrological mean value is taken as a benchmark to calculate the expansion period abnormal value, and finally, the expansion contribution of each hydrological factor is determined according to the proportion of the abnormal value in the total water quantity increment. Through the method, the contribution intensity of different driving factors is clear, scientific support is provided for simulating lake change and predicting evolution, and ecological protection and management strategies are more targeted.

The application discloses a method for intelligent identification of changes in river and lake water areas by a UAV and early warning of abnormal problems in rivers and lakes, comprising the following steps: constructing a digital twin bottom plate data of rivers and lakes; manually editing a basic flight route of the rivers and lakes, intelligently generating a shooting flight route based on the basic flight route and the digital twin bottom plate data of the rivers and lakes, splicing the basic flight route and the shooting flight route, and obtaining a dynamic flight route of the UAV; performing dynamic flight route flight according to the dynamic flight route, collecting data information during flight, and returning the data information to a UAV base station through a network and transmitting the data information to an edge computing device; generating river and lake orthographic images and river and lake spatial terrain data by combining the data information collected by the UAV with water area management lines; and identifying and comparing the orthographic images before and after the two times by using a water area surface identification model and an image difference method, so as to obtain a water area surface change area and abnormal problems in the rivers and lakes. The method solves the problems of low identification accuracy, low image spatial resolution and unintelligent flight route scheduling in the existing UAV patrol of the rivers and lakes.

The utility model relates to the technical field of lake water replenishing and purifying, in particular to a lake water replenishing and purifying device which comprises a purifying box, the front end of the purifying box is fixedly connected with a first servo motor, one side of the purifying box is fixedly connected with a collecting frame, and the inner wall of the purifying box and the inner wall of the collecting frame are each rotationally connected with a first belt pulley. A filter belt is in transmission connection between the surfaces of the two first belt wheels; according to the device, through a first belt pulley, a second belt pulley, a belt and a third belt pulley, a movable rod drives three brushes to rapidly and annularly move, so that the annularly moving brushes scrape and sweep a conveyed filter belt, and garbage is prevented from being attached to the surface of the filter belt; compared with an existing mode that garbage attached to the surface of the filter belt easily falls to the lower end in the purification box under the impact of water, the method has the advantages that the garbage attached to the filter belt is cleaned in time, the garbage on the filter belt is prevented from falling to the lower end in the purification box, and the purification efficiency of lake water replenishing is guaranteed.

The application discloses a method for identifying lake flow evolution characteristics and attribution, comprising the following steps: obtaining a lake flow observation flow rate, a river-lake water level difference and an external driving factor sequence; constructing a river-lake hydraulic response model with a flow direction symbol function, separating an immediate response flow rate component generated by the water level difference instantaneous driving from the lake flow observation flow rate by using the model, and obtaining a lake flow residual sequence representing the change of the lake system itself; and constructing a multi-factor attribution model for the lake flow residual sequence based on the external driving factor, and quantitatively determining the contribution rate of each factor to the lake flow evolution. The application realizes the dynamic separation of the river-lake backwater effect and the evolution trajectory of the response coefficient by constructing a time-varying state space model, solves the problem that the traditional method confuses passive response and active evolution and cannot identify the drift of the river channel physical characteristics, and realizes the quantitative attribution of the lake flow evolution under complex hydraulic conditions.

The box culvert structure comprises a culvert and a flood discharge gate which is arranged at the outlet end of the culvert and can be opened, an overflow weir is arranged in the middle of the inlet end of the culvert, symmetrical concave plates are arranged on the side wall of the overflow weir and the inner wall of the culvert, pluggable water blocking plates are arranged in the concave plates, and the upper ends of the water blocking plates are higher than the upper end of the overflow weir. The overflow weir and the water blocking plate are matched to shield lake water outside the water facing opening of the culvert, so that when the lake water outside the water facing opening of the culvert is higher than the bottom end of the culvert, maintenance personnel can also enter the culvert to maintain a flood discharge gate in the culvert, and the maintenance does not affect the water level of the lake.

The utility model provides an ecological floating bed device suitable for lake water restoration, which comprises a hollow floating ring, a support frame is fixedly mounted on the inner side of the hollow floating ring, and a floating bed net frame is fixedly mounted on the inner side of the support frame. The device realizes intelligent protection of aquatic plants through linkage of a wind speed sensor and a single-chip microcomputer controller, when the wind speed sensor detects that wind power exceeds the standard, a signal is transmitted to the controller, a waterproof motor is started, a driving screw rod drives a sliding block to move, then a telescopic protection sleeve is pulled to stretch out, and the sliding block and a guide rail structure ensure that the protection sleeve is stably and uniformly unfolded; a floating bed net frame is wrapped, physical support is provided for aquatic plants, strong wind invasion is resisted, plant lodging and extrusion are avoided, the plant survival rate in extreme weather is effectively increased, the manual maintenance cost is reduced, and the environmental adaptability of the ecological floating bed is enhanced.

The invention discloses a river and lake water quality ecological purification device and method, and belongs to the technical field of water ecological protection, the river and lake water quality ecological purification device comprises a water quality purification mechanism, and the water quality purification mechanism is provided with two adjusting type putting mechanisms; through telescopic movement of the adjusting assembly, translation adjustment of the spraying assembly can be achieved, the transverse pesticide spraying area is increased, the adjusting assembly stretches out and draws back, the pressurization connecting assembly can be driven to rotate through the rope control assembly, the spraying assembly rotates to conduct spraying, and spraying uniformity is kept; the stirring blades can stir the medicament sinking into the water body from the water surface, the diffusion speed is increased, the spray head set drives the convex balls and the moving wheels to reciprocate to generate extrusion force, the shell and the piston move relatively, and therefore the purpose of pressurization can be achieved, the spraying effect is improved, the spraying assembly can move up and down, and the spraying effect is improved. The medicament feeding operation at different depths is further met, so that the medicament can be quickly and uniformly distributed in the whole polluted area, and the purification effect is improved.

The application discloses a river and lake water resource joint optimization scheduling system and method, relates to the field of resource scheduling, and comprises the following steps: a data acquisition module is used for setting a water resource management model and a multi-modal monitoring terminal, and water resource data information is acquired; a data visualization module is used for adaptively visualizing the obtained water resource data information in the water resource management model, and generating a river and lake water resource image; a scheduling analysis module is used for analyzing and processing the river and lake water resource image, and acquiring multi-target scheduling demand information; a data analysis module is used for performing multi-dimensional scheduling evaluation on the multi-target scheduling demand information, setting a scheduling priority according to an evaluation result; a joint analysis module is used for performing full-process simulation analysis according to the scheduling priority set according to the multi-dimensional scheduling evaluation result of each position, performing joint processing on the full-process simulation analysis result, and acquiring water resource scheduling information; and the application improves the collaboration of multi-target scheduling.

The invention discloses lake blue nano microcrystalline glass and a preparation method thereof, and belongs to the field of high-end artificial gems, precision optical elements and microcrystalline glass materials. Based on a specific component design and a preparation process, comprehensive improvement of material hardness, thermal stability, spectral stability and color consistency is synchronously realized, and the nano-microcrystalline glass which is magnificent in color and luster and comparable to natural lake blue tourmaline in physical strength and long-term durability is obtained. An ideal solution can be provided for high-end jewelry accessories, reliable performance can also be provided for optical application, and the method has important value for promoting upgrading and innovation of related industries.

The invention discloses a process and device for preparing tap water from lake water, and belongs to the technical field of tap water preparation, the process comprises the steps of S1, collection and pretreatment, S2, a reaction stage, S3, a precipitation stage and S4, filtration and disinfection, a rotational flow aeration device in the reaction stage comprises a lifting mechanism and an aeration mechanism, the lifting mechanism can drive the aeration mechanism to linearly move in the vertical direction, and the folded plate reactor comprises a plurality of baffle plates which are arranged in a staggered manner in the vertical direction and one-way butt joint modules on the lower sides of the baffle plates. According to the invention, the core function of optimizing the reaction path of the baffle plate is reserved, the adverse effect of the baffle plate on aeration is counteracted, the diffusion coverage completeness of gas in the whole reaction tank is greatly improved, a reliable guarantee is provided for comprehensively inhibiting the growth of algae, the problem of long reaction time caused by the influence of the algae originally is solved, and the tap water preparation efficiency is improved.