42 results about "Water color" patented technology

The invention relates to the technical field of environment assessment, in particular to a coastal zone culture area multi-dimensional environment assessment method and a cloud platform. The method comprises the following steps: continuously recording dissolved oxygen concentration, pH value, centigrade temperature, salinity unit, turbidity scattering unit, chlorophyll fluorescence intensity, ammonia nitrogen milligram per liter and nitrite milligram per liter, synchronously calling multi-source remote sensing images covering a culture area and an adjacent water area, extracting remote sensing reflectivity data through image correction and atmospheric correction, and calculating to obtain water color parameters. According to the method, the water quality sensor array is deployed at the key point of the culture area, continuous multi-parameter environmental data acquisition is carried out, multi-source remote sensing images are synchronously integrated, water color information is extracted in real time, and the timeliness and data accuracy of culture water area environmental monitoring are improved; trend decomposition and dynamic baseline construction are carried out based on the data sequence, so that the environmental fluctuation evaluation of the breeding area is more objective and accurate.

The invention relates to an internet-of-things monitoring and early warning system for lake water quality. The internet-of-things monitoring and early warning system comprises a multi-mode intelligent sensor acquisition system, a self-adaptive wireless transmission system, a distributed data storage system, an intelligent data analysis system, a visual interaction system, an intelligent early warning system and a remote intelligent control and repair system. The invention also relates to a monitoring method using the lake water quality Internet of Things monitoring and early warning system. Traditional and innovative sensors are cooperated to comprehensively collect water quality and ecological data, the biosensor accurately detects specific pollutants, the hyperspectral imaging sensor monitors algae distribution and water color change, rich and high-precision data are provided for lake water quality monitoring, the monitoring comprehensiveness and precision are improved, and the water quality monitoring system is suitable for being popularized and applied. The lake ecological protection work is powerfully supported.

The present invention relates to the field of marine remote sensing and satellite monitoring technology, and specifically to a method, system and program for quality evaluation and calibration of satellite-borne lidar ocean color products, especially for improving the inversion accuracy of lidar ocean water parameters. The method includes multi-source data acquisition and standardization, dynamic spatiotemporal matching window optimization, abnormal data filtering, dynamic calculation of seasonal conversion factors, multi-source cross-validation, consistency analysis, regional interpolation modeling, full-link uncertainty quantification, day and night difference correction and dynamic feedback optimization. By constructing an adaptive calibration mechanism and error control process, the inversion accuracy and stability of lidar water color products are significantly improved, providing high-credibility data support for marine ecological monitoring and carbon flux assessment.

The utility model relates to the technical field of water color pens, in particular to an environment-friendly macromolecule shading and color-overlapping washable water color pen which comprises a pen shell, a pen refill and an adjusting device, a connecting pipe is arranged at the lower end of the pen refill, the adjusting device comprises a rotating rod and a sealing plate, a penetrating pen point is arranged at one end of the connecting pipe, a protective cover is arranged on the outer side of the pen shell, and the protective cover is arranged on the outer side of the pen shell. A cleaning box is arranged at the upper end of the protective cover, a cleaning cavity is formed in the cleaning box, a cleaning rod and cleaning bristles are arranged in the cleaning cavity, the cleaning rod penetrates through the cleaning cavity, the cleaning bristles are arranged on the periphery of the cleaning rod in a multi-group mode, an opening is formed in one end of the upper side wall of the cleaning box, and the opening is communicated with the cleaning cavity. Different effects of fine drawing or bold sprinkling are achieved, the color is bright and lasting, the pen is more environmentally friendly and safer, emission of harmful substances is reduced, and the pen is more friendly to users and the environment.

The utility model discloses an anti-overflow watercolor barrel, which relates to the technical field of watercolor processing, and comprises a barrel body, an anti-overflow cover is detachably arranged on the barrel body, the anti-overflow cover is composed of two semicircular covers which are symmetrically distributed, the bottom of the anti-overflow cover is provided with an inward concave spherical surface, and the spherical surface is provided with an opening. An avoiding hole is formed in the center of the anti-overflow cover, and by arranging the anti-overflow cover, when watercolor is stirred, prepared watercolor raw materials are poured into the barrel body, and then the two semicircular covers are correspondingly clamped into the top of the barrel body respectively, so that the two semicircular covers are spliced into the anti-overflow cover with the anti-overflow effect; the avoiding hole is used for avoiding the stirring rod, so that the stirring work can be normally carried out, and the concave spherical surface is formed in the bottom of the anti-overflow cover, so that water color in the barrel can be effectively prevented from being splashed out during stirring.

The embodiments disclose an underwater video light system including a first LED light configured to project a natural daylight in a white color temperature in an underwater environment; a second LED light coupled to the first LED having a plurality of various colored LEDS configured to mix and blend primary colors and project color tinting of natural colors, a plurality of sensors coupled to the first and second LED lights configured to measure white balance including color temperatures of the underwater environment and depth, a power source coupled to the first and second LED lights, configured to adjust the light intensity based on sensors data, and an electronic ambient water color filter video light comprising the first and second LED lights configured for adjusting projected LED light levels to capture video images of underwater marine life and features in realistic natural colors at depths of water used with a camera.

This invention discloses a water rendering method, apparatus, device, and storage medium, relating to the field of computer graphics and rendering technology. The method includes: acquiring preset noise disturbance data and water wave flow data, calculating offset vectors, and calculating several water wave velocities; based on the several water wave velocities and preset noise texture, sampling normal data corresponding to each water wave velocity, and fusing all normal data to obtain a fused normal; based on the uv coordinates of each pixel of the target water body graphic, sampling water wave texture data, obtaining pixel transparency values, and calculating the basic water color of each pixel; determining the reflection direction, and sampling a cube map of water surface reflection based on the reflection direction; calculating the final water body pixel color values, and performing water body rendering based on the water body pixel color values. This invention solves the technical problems in the prior art where rendered water surface fluctuations cannot provide sufficient fluctuation levels, the transition of rendered water surfaces is unnatural, and the edge effects are harsh.

The present application relates to water color remote sensing and water environment monitoring technical field, solve the existing water body chlorophyll remote sensing monitoring in complex conditions water surface polarization suppression difficult, polarization-multiple angle joint modeling is missing, inversion is not integrated geometry error and uncertainty evaluation technical problem, especially in a kind of based on polarization multi-angle inhibition water surface reflection chlorophyll monitoring device and method, through integration multispectral polarization imaging unit, multi-angle scanning unit, observation geometry self-adaptive optimization module, polarization water surface reflection decomposition module, water surface roughness inversion unit and chlorophyll robust inversion module on the same platform, and through attitude-positioning and communication unit realizes the space-time registration of data and early warning information transmission;The method is based on the chlorophyll monitoring device, by introducing clear calculation model and constraint solving process, so that each module forms an integrated physical-statistical joint inversion framework, realizes the stable algal bloom monitoring and early warning under the condition of wind wave change.

Provided are a water treatment system, a water treatment method, and a method for controlling the color of water, which are excellent in decolorizing water that has been subjected to biological treatment. [Solution] A water treatment system comprising a biological treatment section that biologically treats wastewater to obtain treated water, an alkali addition section that adds an alkaline substance to the biological treatment section, and an ozone treatment section that performs ozone treatment on the treated water.

The present application relates to a kind of river and lake ship optical remote sensing identification method for different water color type, comprising: obtaining the remote sensing surface reflectivity data of river and lake water area;To the remote sensing surface reflectivity data: extract brightness component TCB by the mink coat transformation;Calculate the reflectivity ratio NIR / SWIR of near-infrared band and mid-infrared band;The sliding window is set to river and lake water area near-infrared band image, and the standard deviation of the center pixel of each sliding window is calculated;After Z-Score standardization processing is carried out to the TCB, NIR / SWIR, standard deviation of each pixel, the sum is calculated as pixel ship index;In deep color, shallow color water body area in river and lake water area, pixel ship index is used to extract ship pixel in combination with threshold segmentation method respectively;The ship pixel of deep color, shallow color water body area is fused, and the ship pixel of river and lake water area is obtained.The present application method can be suitable for inland river and lake ship remote sensing identification under different water color and optical environment conditions.

The invention belongs to the technical field of water quality monitoring, and discloses an oil content detection method, device and equipment and a storage medium. The method comprises the following steps: controlling an ultraviolet light source to emit dual-wavelength ultraviolet light with preset light intensity to a short-range cuvette containing a flowing water sample to be detected; acquiring two paths of transmitted light signals, and performing amplification and signal conversion processing on the two paths of transmitted light signals to obtain two paths of digital signals; calculating the absorbance of the two paths of transmitted light signals according to the two paths of digital signals, and obtaining the oil content of the water sample to be detected according to the absorbance of the two paths of transmitted light signals; differential detection is carried out on a water sample to be detected through dual-wavelength ultraviolet light, the wide-range detection capacity is kept based on optical signal amplification and signal conversion, meanwhile, interference of ammonia water color development and turbidity on a detection result is effectively restrained, and through combination of absorbance difference and the Lambert-Beer law, the detection accuracy is improved. A stable linear relation between the oil concentration and a detection signal is realized, and the oil content is accurately detected.

The invention belongs to the technical field of aquaculture, and particularly relates to an intelligent river crab culture monitoring system and method. Comprising a breeding system sensing module, a breeding system feature analysis module, a breeding technology knowledge module and a decision efficiency evaluation and feedback module. The method has the advantages that production data, including water quality, weather, water color, aquatic plants and crab individual characteristics, of the whole breeding process are completely recorded, and feeding, drug use records, water changing, shelling, aeration and other records in the breeding process are recorded. And a data basis is provided for follow-up green aquatic product traceability, rating and culture technical guidance. According to the method, breeding behavior effect quantification and next decision optimization are carried out, effects generated by specific breeding behaviors are evaluated from apparent characteristics of water quality, water color, aquatic plants and crabs, and the effects are added into breeding technology knowledge, so that richer experience knowledge is provided for next decision.

To provide a water discoloring indicator that can discriminate whether adhesion of water has occurred previously and that offers enhanced precision in detecting water adhesion from a rear surface of the indicator having a feature of discriminating whether water adheres at present time.SOLUTION: On a substrate 2 of a water discoloring indicator 1, there are provided: a porous layer 3 that is formed by fixing a low refractive index pigment to a binder resin in a dispersive condition, is opaque in a non-liquid absorbent condition, and gets transparent in a liquid absorbent condition; and a water-soluble resin layer 4 which is incorporated in part of the porous layer and is disposed in a coexistent condition. In the non-liquid absorbent condition, part of the porous layer including the water-soluble resin layer exhibits higher light transmissivity than the other part of the porous layer not including the water-soluble resin layer. The water discoloring indicator has a through hole 5 that passes through an upper surface of the porous layer to a lower surface of the substrate.SELECTED DRAWING: Figure 1

The invention provides a seawater color measuring method and AR glasses, and belongs to the technical field of seawater color measurement, the seawater color measuring method and the AR glasses are provided, a high-resolution optical sensor of the AR glasses is used for collecting a water color image at the transparency half-depth position, a standard color database is established, and the standard color database is mapped to the color level of a water color meter. A regional color representative center is generated by adopting partition processing, and perception chromatic aberration is calculated by applying an improved CIEDE2000 chromatic aberration function, so that a color dispersion point matrix is formed. Ambient light interference is corrected by using a seawater optical attenuation equation, and a color gradient point matrix is constructed. Water color fluctuation is analyzed and identified through a time sequence, multiple measurement results are analyzed through improved K-means clustering, a color stable point matrix is formed, the final water color grade is determined, and the technical problem that in the prior art, seawater color measurement accuracy and stability are insufficient is effectively solved.

A kind of water color three-element quantitative analysis method and system of UV-visible absorption and reflection spectrum coupling, comprising: obtaining the reflection signal of multiple sample water bodies, and calculating reflectivity based on the reflection signal;Obtain the total absorption spectrum of each sample water body in ultraviolet-visible band and the absorption spectrum and concentration of each component of water color three-element;Based on the reflectivity and total absorption spectrum of each sample water body, the total absorption spectrum inversion model of water body is constructed;Based on the absorption spectrum characteristics of each component in sample water body, the water color three-element absorption spectrum separation and concentration inversion model is constructed;The reflection signal of the water body to be measured is obtained, the total absorption spectrum of the water body to be measured is obtained based on the total absorption spectrum inversion model of water body, and the water color three-element absorption spectrum separation and concentration inversion of the water body to be measured are realized using water color three-element absorption spectrum and concentration inversion model.The present application overcomes the problem that CDOM and NAP visible band absorption spectrum is difficult to separate, and can realize high-precision remote sensing observation of water color three-element concentration.

The invention discloses a water transparency inversion method and system based on a visible light remote sensing image, and relates to the field of water color remote sensing. Preprocessing the water body remote sensing image to obtain the reflectivity of the water body remote sensing image; determining the remote sensing reflectivity of the water body according to the reflectivity of the water body remote sensing image; according to the remote sensing reflectivity of the water body, the inherent optical characteristics of the water body are obtained through a QAA algorithm, and the inherent optical characteristics of the water body comprise an absorption coefficient and a backscattering coefficient; determining a diffusion attenuation coefficient of a semi-analysis model according to the inherent optical characteristics of the water body; determining the FUI index of the water body according to the remote sensing reflectivity of the water body; and determining the transparency of the water body according to the diffusion attenuation coefficient and the FUI index of the water body. According to the method, the transparency of the water body can be accurately monitored in a large range in an inversion mode, and the monitoring requirement for the water quality parameter, namely the transparency, of the water body is met.

The utility model discloses a wind-drying-resistant water color pen, and relates to the technical field of water color pens. The pen container comprises a pen container body, and the upper end of the pen container body is sleeved with a pen cap. A sealing seat is arranged on the upper end face of the pen container, a first water absorption column and a pen point are arranged at the upper end and the lower end of the sealing seat respectively, an adsorption assembly is further arranged on the pen container and comprises a base detachably fixed to the tail end of the pen container and an adsorption plate embedded in the top end of a pen sleeve, and the adsorption plate and an adsorption column on the base are mutually adsorbed. A moisturizing assembly is further arranged in the pen cap and comprises a sponge plate arranged in the top end of the interior of the pen cap and a water guide piece arranged in the side wall of the pen cap, and the sponge plate makes contact with pigment water in the pen container through the water guide piece. The pen cap can be prevented from being lost when the pen cap is separated from the pen container through the adsorption assembly, the wettability of the pen point can be kept through the moisturizing assembly in the pen cap, and the pen point is prevented from being air-dried.

The invention discloses a water body color identification method and system based on a visual image, and belongs to the technical field of water quality monitoring, and the method comprises the steps: obtaining visual image data of a water body-containing region, decomposing the visual image data into a water body inherent color component and an environment illumination component, and obtaining an illumination compensation feature through adaptive weight compensation; inputting the illumination compensation features into a target detection network to generate a detection chain table, and extracting and classifying effective color features of the water body region; constructing a scene knowledge base based on historical monitoring data, and converting a single-frame classification result into a scene adaptive classification result; constructing a monitoring topological graph and calculating a pollutant diffusion rule; and establishing a state matrix for a scene adaptation classification result, fusing the state matrix with a pollution propagation prediction result, and generating an alarm signal when an indication is abnormal. The method can effectively overcome the influence of environment illumination, and realizes real-time monitoring and early warning of the water quality condition in combination with scene priori knowledge and a pollutant diffusion rule.

The utility model discloses a drainage port application, which comprises a drainage tube and is characterized by further comprising a first non-woven fabric, a second non-woven fabric, a fixing patch, an absorbing gauze, a water-discoloring layer and a waterproof breathable film, the drainage tube is arranged in the center of the first non-woven fabric, the absorbing gauze is placed in a groove in the center of the first non-woven fabric, and the fixing patch is arranged in the groove in the center of the second non-woven fabric. The fixing paste is arranged on one side of the first non-woven fabric and adheres to the first non-woven fabric, the second non-woven fabric is arranged above the first non-woven fabric and adheres to the first non-woven fabric, the water color changing layer adheres to the center of the second non-woven fabric, and the waterproof breathable film is located below the first non-woven fabric and adheres to the first non-woven fabric. When the drainage tube is fixed, the mode that the drainage tube needs to penetrate through the first non-woven fabric and then is fixed in the prior art is omitted, and the possibility that the drainage tube is polluted is reduced.

The present application belongs to the field of environmental monitoring and computer vision, and particularly relates to a water color identification regression method and system based on spatiotemporal causality and manifold learning, mainly comprising detecting and extracting a water area from a current target water video sequence, reducing the dimensionality of high-dimensional features of the water area, extracting features of the water area through a spatiotemporal causality feature learning model, fusing manifold learning features and spatiotemporal causality features to obtain fused features, and outputting a final predicted water color value. Through the above method, an end-to-end pipeline design of preprocessing-segmentation-feature modeling-regression is adopted, and from video input to color prediction, no manual intervention is required, through the cascade cooperation of five core modules (video preprocessing, water segmentation, manifold learning, spatiotemporal causality modeling, and color identification), the full-link automation from environmental interference suppression to feature extraction to result output is realized, the information loss in the intermediate link is avoided, and the identification efficiency and robustness are improved.

The application provides a method for inverting marine nuclear radiation conditions based on cyanobacteria water color, when nuclear pollution radioactive substances enter the ocean, the enrichment of nuclear substances causes diseases and death of marine organisms due to internal or external irradiation, and causes eutrophication of seawater, and most of the cyanobacteria have stronger anti-nuclear radiation ability, the eutrophication of seawater causes the cyanobacteria to breed in large quantities, the large amount of breeding cyanobacteria causes the chlorophyll in the ocean to reach about 1.5-2 times of the original level, and the color of the marine water body is changed, strong absorption appears in the blue-green wave band, strong scattering appears in the red and near-infrared wave band, and thus brown color appears; chlorophyll a is a pigment commonly contained in phytoplankton, and the concentration of the chlorophyll a can reflect the biomass of the phytoplankton to a certain extent; when the concentration of the chlorophyll a on the sea surface increases, a 685nm fluorescence peak appears; the concentration of the chlorophyll a can be obtained by monitoring the color of the marine water; research shows that A(x) = bf(y) + c, wherein A(x) represents the concentration of nuclear pollution in seawater, f(y) is the concentration of the chlorophyll a monitored in seawater, and b and c are coefficients; thus, the nuclear pollution condition of seawater can be determined through the concentration of the chlorophyll a in seawater.

The application relates to the technical field of marine environment monitoring, and particularly discloses a full-process intelligent management system for a sea red tide checking task, which comprises a visual control platform, and the visual control platform is communicatively connected with the following modules: a fragment task integration module used for fusing a fuzzy C-means clustering algorithm and a spatial topological constraint algorithm, automatically merging fragment tasks at a boundary and attributing a responsible party, the fragment task integration module comprising a fuzzy boundary membership weight unit and a jurisdiction buffer zone forced attribution unit; the application automatically merges fragment tasks at the boundary and attributes the responsible party according to the overlapping degree and historical rules by performing fuzzy C-means clustering membership weight on edge pixels of a remote sensing water color abnormal area and jurisdiction attribution based on a dynamic buffer zone, solves the problem of an unclaimed area, ensures that the checking task is quickly implemented, eliminates ambiguity of the attribution of the boundary task, and improves the emergency response time.

The system significantly reduces the color of water, maintains this color reduction performance stably over a long period, reduces the frequency of maintenance, and lowers both initial and running costs. [Solution] In a method for reducing the color of water treated in a septic tank, the immersion step of soaking a color component adsorbent 10 such as allophane-containing soil in the water and the drainage step of draining the water from the color component adsorbent 10 and exposing the color component adsorbent 10 to the air are alternately repeated using an autosiphon such as a bell siphon 7.

To provide a water treatment system excellent in the decoloring action of water subjected to biological treatment, a water treatment method, and a water chromaticity control method.SOLUTION: A water treatment system comprising: a biological treatment section that performs biological treatment of wastewater to obtain treated water; an alkali addition section that adds an alkaline substance to the biological treatment section; and an ozone treatment section that performs ozone treatment on the treated water.SELECTED DRAWING: Figure 1

The application provides a remote sensing image water body extraction method and system, automatically acquires a water color parameter through a thumbnail driven self-calibration mechanism, and can adapt to different water color scenes such as clear water, turbid water, silt type water surface and plateau lake without manual parameter adjustment; reliable differentiation of water body and forest land is realized by adopting a double window texture joint criterion; a coarse and fine scale texture ratio index is innovatively introduced, and the existing method is specially remedied for systematic missed detection of granular silt water surface. The application solves the core engineering problems of remote sensing water body extraction in cross-scene adaptability, water and plant confusion exclusion and silt water surface capture; through multi-scene test verification, the water body extraction IoU is improved by 18-24 percentage points compared with the fixed threshold baseline method, and the missed detection problem of granular silt water surface is effectively solved.

This invention provides a method for measuring seawater color and AR glasses, belonging to the field of seawater color measurement technology. The invention proposes a method for measuring seawater color and AR glasses that uses a high-resolution optical sensor in the AR glasses to acquire seawater color images at half-transparency depth, establishes a standard color database, and maps it to a seawater colorimeter level. A regional color representative center is generated through partitioning, and the perceived color difference is calculated using an improved CIEDE2000 color difference function, forming a color dispersion point matrix. Ambient light interference is corrected using the seawater optical attenuation equation, constructing a color gradient point matrix. Time series analysis identifies seawater color fluctuations, and an improved K-means clustering analysis is used to analyze multiple measurement results, forming a color stability point matrix to determine the final seawater color level. This effectively solves the technical problems of insufficient accuracy and stability in existing seawater color measurement technologies.

The invention relates to an ultraviolet-visible absorption and reflection spectrum coupled water color three-element quantitative analysis method and system, and the method comprises the steps: obtaining a plurality of sample water body reflection signals, and calculating the reflectivity based on the reflection signals; acquiring the total absorption spectrum of the ultraviolet-visible wave band of each sample water body and the absorption spectrum and the concentration of each component of three water color elements; constructing a total absorption spectrum inversion model of the water body based on the reflectivity and the total absorption spectrum of each sample water body; constructing a water color three-element absorption spectrum separation and concentration inversion model based on the absorption spectrum characteristics of each component in the sample water body; and obtaining a reflected signal of a water body to be detected, obtaining a total absorption spectrum of the water body to be detected based on the total absorption spectrum inversion model of the water body, and realizing water color three-element absorption spectrum separation and concentration inversion of the water body to be detected by utilizing the water color three-element absorption spectrum and the concentration inversion model. According to the invention, the problem that CDOM and NAP visible wave band absorption spectrums are difficult to separate is overcome, and high-precision remote sensing observation of water color three-element concentration can be realized.

The utility model discloses a water color pen capable of preventing a pen point from retracting inwards, which belongs to the technical field of water color pens and comprises a pen holder shell, a movable inner core capable of sliding is arranged in the pen holder shell, a buffering force adjusting part is arranged at the rear end of the pen holder shell, a buffering spring is arranged between the buffering force adjusting part and the movable inner core, and the buffering force adjusting part can adjust the initial compression degree of the buffering spring. According to the technical scheme, when the water color pen falls and the pen point core faces the ground, the impact force is large, the movable inner core can be pushed to integrally overcome the thrust of the buffer spring to slide and retract inwards, the pen point core is buffered and protected, the pen point core is prevented from retracting inwards under the action of the impact force, and after the impact force disappears, the buffer spring can push the movable inner core to slide outwards, so that the water color pen is protected. In addition, the buffering force adjusting piece can adjust the pushing force initially applied by the buffering spring so as to adapt to the use of different people, and the situation that normal use is affected due to the fact that the pen point automatically retracts inwards due to the fact that the pressure applied by the hand is large in the use process is avoided.

The invention relates to a river reservoir suspended sediment remote sensing recognition system and method based on water color difference, and belongs to the technical field of water ecological environment monitoring. The method comprises the following steps: firstly, acquiring a multispectral satellite image through a GEE cloud platform, and extracting reflectivity data of main and branch flows through preprocessing such as atmospheric correction and image fusion; performing space-time registration on the in-situ turbidity measured value and the satellite reflectivity to construct a training data set; aiming at different water color characteristics of the main stream and the branch stream, respectively establishing a support vector regression machine learning model of the main stream and a multi-hydrological-period empirical model of the branch stream, and realizing high-precision zoning inversion of turbidity; and finally, identifying the suspended sediment water body through turbidity grading, and generating a spatial-temporal distribution map. The method effectively solves the problem of water color difference of the main stream and the branch stream caused by reservoir regulation, remarkably improves the precision and the reliability of remote sensing monitoring of the suspended sediment, and provides technical support for river reservoir sediment treatment and water environment management.

The invention relates to a method for evaluating the sensory quality of a reclaimed water replenished urban water body. The method belongs to the field of water resources, integrates multispectral imaging, electronic nose, electronic tongue, basic water quality sensing and other multiple technologies, realizes synchronous acquisition and analysis of water color, smell, taste and physicochemical parameters, and establishes a label database in combination with subjective evaluation of citizens. Through data fusion and an intelligent analysis model, the sensory quality of the water body can be evaluated quickly and objectively, abnormal changes can be recognized in time, abnormal risks are traced, and water replenishing management suggestions are optimized. The intelligent, automatic and scientific level of urban water body sensory quality monitoring after reclaimed water replenishing is improved, and effective technical support is provided for urban water environment management and reclaimed water safe utilization.