25 results about "Water color" patented technology

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.

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.

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.

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 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 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 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.

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 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.

The invention relates to a reservoir water color length time sequence monitoring system fusing a Landsat8 image and an FUI index. The reservoir water color length time sequence monitoring system comprises a data acquisition module, an image preprocessing module, a water quality parameter inversion module, an FUI index calculation module and a time sequence analysis module which are connected in sequence, and a visual early warning module which is in bidirectional data interaction with the modules. According to the invention, a data acquisition module collects Landsat8 images, ground monitoring data and auxiliary data; the image preprocessing module generates a standardized water surface reflectivity data set through processes of radiometric calibration, atmospheric correction and the like; the water quality parameter inversion module inverts key parameters such as chlorophyll a and turbidity based on a random forest model; the FUI index calculation module adopts a three-band polynomial model to combine with hue angle correction to realize quantitative characterization of water color, so that the problems of limited space coverage and poor time sequence continuity of traditional monitoring are solved, multi-dimensional and long-period dynamic monitoring of reservoir water color is realized, and scientific support is provided for protection of a drinking water source.

The application is a river reservoir suspended sediment remote sensing recognition system and method based on water color difference, belonging to the technical field of aquatic ecological environment monitoring. First, multispectral satellite images are obtained through the GEE cloud platform, and dry and branch stream reflectivity data are extracted after preprocessing such as atmospheric correction and image fusion. Then, in-situ turbidity measurement values are spatiotemporally matched with satellite reflectivity to construct a training data set. According to the different water color characteristics of the dry and branch streams, a support vector regression machine learning model for the dry stream and a multi-hydrological period empirical model for the branch stream are respectively established to realize high-precision partition inversion of turbidity. Finally, suspended sediment water bodies are identified through turbidity grading, and a spatiotemporal distribution atlas is generated. The application effectively solves the problem of water color difference between dry and branch streams caused by reservoir regulation, significantly improves the precision and reliability of suspended sediment remote sensing monitoring, and provides technical support for river reservoir sediment control and water environment management.

The invention provides a water gauge identification method and system based on three-channel comparative learning, and the method combines the frequency domain features and reflection features of an image, fuses the three-channel features to improve the feature extraction performance of a model, improves the feature discrimination of a water surface region and a non-water surface region through a comparative learning mode, and improves the recognition accuracy of the water surface region and the non-water surface region. The device has strong robustness to environmental factors such as transparency, reflection, water color and floaters of the water body, and is low in resource consumption, simple in structure and very suitable for wide popularization. Besides, the waterline is obtained by sliding the window and detecting the maximum feature distance of the upper and lower adjacent areas, the overall features of the upper and lower window areas are used as comparison objects, and each pixel point is classified forcibly by a relative segmentation method, so that better adaptability is achieved, and the detection precision of the waterline can be effectively improved. The method has good adaptability to the problems of water surface fluctuation, fuzzy boundary, transparent water body, floating object interference and the like.

The application discloses a kind of urban small micro water body water quality remote sensing intelligent monitoring and early warning method, belong to water environment monitoring technical field, this method includes: S1, automatically download target area satellite image;S2, satellite data in the downloaded multi-source remote sensing satellite data set is standardized and preprocessed;S3, fusion multi-source remote sensing satellite data product, generate high-frequency water quality parameter remote sensing product;S4, based on machine learning clustering algorithm and unmixing technique extraction water, realize the extraction of water boundary and mixed pixel separation;S5, FUI index calculation is carried out to each extraction water in monitoring area, generates FUI distribution layer;S6, intelligent statistical analysis is carried out to water in region, generates statistical chart;S7, based on water color carries out water quality anomaly judgment;S8, based on machine learning to abnormal water body inversion water quality parameter, generates water quality parameter distribution layer;S9, based on the generated layer and statistical chart automatically output water quality report, can provide efficient support for urban water environment management.

The application discloses a method for predicting seawater transparency and sea surface temperature based on multi-source remote sensing data, which comprises the following steps: firstly, collecting sufficient water color satellite data, performing residual correction, water body inherent optical quantity inversion, seawater transparency inversion and other preprocessing operations on the remote sensing reflectivity data, and performing space-time interpolation on the obtained seawater transparency data and sea surface temperature data, and then making a training data set; then, a prediction model is constructed, and the prediction model is trained to determine the best prediction model, wherein the prediction model adopts a combination of a convolution long short-term memory network (ConvLSTM) and a full link to construct the prediction model; finally, the seawater transparency and the sea surface temperature of a specific sea area are predicted based on the trained prediction model, so that the accuracy of future marine environment information is ensured.

The utility model relates to the technical field of personal care and cleaning supplies, and discloses a wet water color developing microcapsule and a soft cotton towel, the soft cotton towel is internally provided with the microcapsule, the microcapsule comprises a porous outer layer, a plurality of coloring bodies are wrapped in the porous outer layer, each coloring body comprises an internal core body, a dye layer is arranged outside the core body, and the dye layer is arranged on the outer side of the core body. And an ink layer which becomes transparent when encountering water is arranged outside the dye layer. The soft cotton towel comprises the wet water color development microcapsule. The size of the microcapsule is remarkably increased through the core body and the coloring bodies, allergy caused by the fact that the microcapsule escapes from gaps between the isolating layer and fibers and makes contact with skin is reduced and avoided, the ink layer becomes transparent when meeting water can protect the dye layer on one hand and becomes transparent when meeting water on the other hand, the internal dye layer can display colors, and the color change effect is good. After being dried, the dye is reduced to be white to realize a wet water color development function. The utility model has the characteristics of simple structure, reasonable design, strong practicability and good use effect.

The utility model discloses a water color pen capable of preventing a pen cap from being lost, which belongs to the technical field of water color pens and comprises a pen holder main body and a sliding pen cap, a pen core is arranged in the pen holder main body, a pen point is mounted at the front end of the pen holder main body, and the pen holder main body is formed by connecting a rear pen holder and a front pen holder; and a self-sealing pen point protection mechanism is arranged in the sliding pen cap. The water color pen is technically characterized in that the pen cap part is designed to be a sliding pen cap, the sliding pen cap is connected to the front pen holder in a sliding mode, the integrated design is achieved, the pen cap part can be effectively prevented from being lost, and when the sliding pen cap slides to the foremost end in the using process, a pen point can be completely covered to achieve the protection effect; meanwhile, the self-closing pen point protection mechanism installed in the sliding pen cap can be automatically closed to protect the pen point, when the sliding pen cap slides to the rearmost end, the pen point part can be completely exposed, use is convenient, and in the sliding process, the self-closing pen point protection mechanism is extruded to be automatically opened, so that the pen point can be exposed.

The utility model discloses a portable multi-color combined water color pen, which relates to the field of multi-color combined water color pens and comprises a water color pen multi-color fixing shell, a multi-color water color pen fixing component is arranged in the water color pen multi-color fixing shell, a portable mounting component is arranged on one side of the multi-color water color pen fixing component, and a strap mounting component is arranged on the other side of the multi-color water color pen fixing component. According to the multi-color water color pen fixing assembly, the prior art is improved, in actual use, the multi-color water color pens can be conveniently fixed through the multi-color water color pen fixing assembly, and the problems that due to the fact that existing water color pens are various in color, most of the water color pens appear in a single bulk mode and are usually contained in a packaging box during use and management, and use is inconvenient are solved. Therefore, in the use process, the device is easy to lose and is inconvenient to manage.