828 results about "Water body" patented technology

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.

Provided is a memory device. The memory device may be used in a pool or in any body of water, such as that in a bathtub or in lakes, oceans, and the like. The memory device may be used as a game. The memory device may be used as a memory game where colors of an item are matched to a color sequence provided in the game. The memory device may include a hub. The hub may include first top end that includes a user interface. The user interface may include a transparent button that, upon activation by a user, provides a visual color sequence. The hub may further include a second bottom end that attaches to the top end by a series of arms. The bottom end may provide floatation of the hub on water. The bottom end and arms may extend the top end away from and distanced from the water. The hub may include a hollow or open central interior space. The memory device may further include a plurality of rings. The rings may include a central opening and a body having a color that matches the optional colors in the visual color sequence provided by the hub. The rings may sink in the water. Use of the memory device may include retrieving the plurality of rings in the visual color sequence provided by the hub.

The application discloses a water surface photovoltaic mooring device, which comprises a plurality of mooring units; two ends of each mooring unit are arranged on opposite side walls of a reservoir, and the plurality of mooring units form a plurality of containing areas arranged in an array on the water surface; a photovoltaic unit is arranged in each containing area, and the photovoltaic unit is flexibly connected with the mooring units forming the containing area; each mooring unit comprises one mooring piece and two adjustable lifting modules; one end of each adjustable lifting module is arranged on the side wall of the reservoir and is higher than a preset water level, and the other end is connected with the mooring piece located on the water surface. In the water surface photovoltaic mooring device, the adjustable lifting modules are arranged, so that the device can adapt to large changes in the water level of a pumped storage power station reservoir; in addition, the mooring units of the application are located above the water surface, so that the corrosion of the water body on the mooring units is effectively reduced, and the possibility of blockage of the mooring units is reduced.

This disclosure relates to the field of petroleum exploration and development technology, and in particular to a method and system for determining bottom water intrusion characteristics. The method includes: determining the water permeability and the correlation coefficients between the matrix and fractures in a target block of a fractured sandstone gas reservoir; establishing and solving a mathematical model for cylindrical bottom water intrusion in a single well of the fractured sandstone gas reservoir based on the determined water permeability and the correlation coefficients between the matrix and fractures, obtaining a pressure function representing the difference between the original water pressure and the pressure at any point within the gas reservoir; using the obtained pressure function, determining the dimensionless bottom water intrusion volume; and determining the cylindrical bottom water intrusion characteristics of the dimensionless bottom water intrusion volume with respect to dimensionless time based on the determined dimensionless bottom water intrusion volume. By establishing a mathematical model of bottom water intrusion and calculating the cumulative water intrusion volume, the bottom water intrusion characteristics are determined, enabling an understanding of the entire dynamic process of bottom water intrusion in the reservoir.

The application relates to a water quality change trend rapid prediction method based on multi-source data fusion and physical constraints, and specifically comprises the following steps: step 1: synchronously collecting data such as spectrum information, DO, COD, temperature and pH at key monitoring sites, constructing a water dynamics-water quality coupling equation, and simulating the space-time dynamic distribution of water quality parameters; step 2: outputting a water quality sensitive area through a water dynamics-water quality model, screening sensor layout points by combining information entropy evaluation and spatial clustering, realizing low-cost water quality sensor network deployment through a multi-objective optimization algorithm, and calculating a water body global water quality distribution map by adopting a spatial interpolation method; step 3: analyzing main pollution sources according to the synchronous collection of spectrum information at key monitoring sites, and adopting principal component analysis and an attention mechanism neural network; step 4: based on real-time optical characteristic value-DO data, combining a spatial topological network, a water quality gradient and a cross-region covariance to capture the spatial correlation of water quality parameters between different points, and constructing an optical characteristic value-DO-COD dynamic prediction model; combining pollution tracing and spectrum characteristic correction to correct the COD prediction value, adopting ensemble Kalman filtering to assimilate multi-source data, and improving the model accuracy.

The utility model relates to the technical field of bubble generator, and disclose a kind of suspended underwater micro-nano bubble generator, including adjustable support mechanism, bubble generating mechanism and external protection mechanism;Bubble generating mechanism is by multistage water pump, inlet pipe, one-way water inlet valve, connecting pump, transport pump, high-speed rotary cutting nanometer bubble pump, conveying pipe and aeration head etc., and is connected by thread seal sleeve to realize pipeline sealing connection.Mainframe box is equipped with buoy, internal and external pressure monitoring sensor, can realize underwater suspension and pressure real-time monitoring.Adjustable support mechanism can adjust equipment installation height, and external protection mechanism is realized waterproof anti-collision protection by protective shell, sealing washer and protective fence.The device adopts multistage water pump to match double high-speed rotary cutting nanometer bubble pump, can accurately control fluid flow rate and pressure, generates bubble particle size uniform, dissolved oxygen efficiency is high, with the characteristics of intelligent control, anticorrosive durable, protective, suitable for water purification, aquatic ecological restoration etc.

The present application relates to the technical field of power system automation control, in particular to a fish-light complementary reactive power compensation control method and device; the method comprises the following steps: through real-time acquisition of photovoltaic output, fishery load operation intensity and water surface state and other multi-source information, after time sequence alignment and feature extraction, a unified fish-light complementary operation state index is constructed by fusion; short-term change trend analysis and evolution mode classification are carried out, potential reactive power demand in the future period is predicted, and a smooth and continuous short-term demand index is generated; according to the high and low levels of the demand index, a variety of resources are dynamically matched, a hierarchical priority scheduling and multi-resource parallel compensation strategy is formed; in the compensation execution process, output and system stability indexes are monitored in real time, and dynamic correction is carried out through synchronization deviation and stability deviation; at the same time, trend learning is carried out combined with long-term historical data, and the prediction model and resource allocation strategy are continuously optimized. The present application effectively improves the operation stability and energy efficiency of the fish-light complementary system.

This application discloses an online assessment method and system for the biotoxicity of groundwater complex pollution, relating to the field of environmental monitoring technology. The system includes a multi-channel monitoring device, a data processing and calculation unit, and an early warning output unit. The method includes: acquiring time-series data of the movement trajectories of each fish in multiple independent monitoring channels; extracting multi-dimensional behavioral features from each monitoring channel; determining the baseline values ​​of the behavioral features of each monitoring channel at the current moment using a dynamic baseline model; comparing the multi-dimensional behavioral features with the baseline values ​​to calculate standardized feature offsets; fusing the standardized feature offsets of each monitoring channel to obtain a comprehensive feature vector, which is then input into a biotoxicity assessment model to output a comprehensive assessment result of the biotoxicity of the water body. This method intelligently learns the complex mapping relationship between complex pollution characteristics and biological responses, achieving more sensitive, accurate, and intelligent online monitoring and assessment of groundwater complex pollution.

This utility model relates to the technical field of water quality sampler brackets, specifically to a portable water quality sampler bracket, including a base and a support mechanism. The support mechanism includes a support component, a transmission component, and a reinforcement component. The support component includes a support cylinder disposed above the base. Multiple support rods are fixedly connected between the side wall of the support cylinder and the upper surface of the base. A top plate is fixedly connected to the top of the support cylinder, and an electric telescopic rod is fixedly installed on the bottom surface of the top plate. This utility model, through its support component, enables precise and rapid adjustment of the mounting bracket height to meet the sampling needs of water bodies at different depths. The reinforcement component significantly enhances the stability of the bracket in complex environments, effectively resisting the impact of water flow, wind, and other external forces, ensuring the stability of the water quality sampler during sampling.

The application discloses a kind of water ecological restoration plant community management method and system based on neural network, method includes: based on SOFM neural network, water body stratification detection is carried out to target water area, and stratification result is obtained;According to stratification result, dynamic hydrological data sampling is carried out to each water layer using water body monitoring equipment, and the sampling result of each water layer is obtained;According to aquatic plant distribution data and aquatic animal distribution data, corresponding biological information and water layer natural ecological environment data are called to construct target database;Based on BP neural network, according to target database, determine the dynamic change rule of target water area within a predetermined time;Judge whether the dynamic change rule meets the preset restoration target, according to the judgment result, based on ecological restoration principle, calculate the plant species and corresponding quantity required for each water layer, and obtain the calculation result;According to the calculation result, the plant community of target water area is managed using plant management equipment.

The present disclosure discloses a method and system for improving the accuracy of satellite remote sensing inversion by integrating hyperspectral proximal sensing, belonging to the technical field of water environment and aquatic ecological monitoring. The method includes the steps of: acquiring a water body hyperspectral proximal sensing reflectance spectrum dataset, a satellite remote sensing surface reflectance dataset, and a water environment in-situ measurement dataset, and performing preprocessing on the datasets; generating a fused satellite-ground dataset, and constructing and training a water quality parameter inversion model; and updating corresponding methods and the datasets in real time by repeating specified steps, thereby optimizing the model. The present disclosure displays and downloads inversion results according to a query instruction, enhances satellite spectral precision and increases the scale of the synchronous satellite-ground dataset, and is used for high-precision water environment monitoring.

The application discloses a kind of based on statistics fishery ecological health anomaly analysis method and system, belong to fishery ecological technical field;By dividing target fishery water area into several continuous water layers, the time series data of temperature, dissolved oxygen, pH and nutrient salt concentration is independently collected;Based on the multi-factor time series data of each water layer, the average difference value of ecological factor data is calculated, and the collaborative matrix of ecological factor data is constructed;The average difference value of the layer and the matrix structure difference value between adjacent water layers are calculated;Relative matrix structure offset value and relative layer difference offset value are calculated in combination with health benchmark period, and cross-water layer ecological anomaly index is fused and generated, and health anomaly judgment is realized by comparison with preset threshold value.The application can early identify ecological coupling relationship disorder under the vertical stratification scene of water body by quantifying the multi-factor collaborative structure in each water layer and the layer structure offset, significantly improve the accuracy and interpretability of fishery ecological health anomaly detection.

This invention discloses an intelligent control method and system for aquaculture environments based on an AI model, belonging to the field of aquaculture management technology. The AI-based intelligent control method and system for aquaculture environments includes: S1, collecting water quality status data, feeding behavior data, and meteorological data from the aquaculture environment, preprocessing and storing them to construct an aquaculture control and management database; S2, constructing a time-series causal model of water body status based on multi-source time-series data and outputting a causal connection structure; S3, predicting and assessing the water quality evolution under different feeding schemes through multivariate time-series and causal coupling; S4, analyzing the feeding scheme objectives based on feeding decision quantities, water quality risks, and growth benefits; and S5, continuously correcting the causal relationship and feeding strategy through feeding execution feedback. This solves the problems of unclear bidirectional coupling between feeding behavior and water quality feedback, and the difficulty in coordinating the control of feeding decisions and water quality risks.

The application discloses a kind of lake total phosphorus concentration spatio-temporal evolution and driving factor identification method, and the application relates to water environment monitoring technical field, constructs water body, sediment and in and out lake river multi-medium linkage analysis system, carries out multi-scale spatio-temporal evolution analysis and multi-path mechanism quantization, realizes the accurate identification of scene main control driving factor, and the standardization analysis process is formed by verification solidification, the application has the advantages that by constructing water body, sediment and in and out lake river multi-medium linkage full-dimensional analysis system, simultaneously integrate multi-source spatio-temporal data covering full lake area function partition, complete hydrological year cycle, carry out the coupling analysis of multiple time scales and multiple spatial dimensions, break through the industry common defects that the evolution law of total phosphorus concentration is not comprehensive, data is insufficiently representative, and the whole chain variation characteristics cannot be clarified, caused by the fact that the prior art only focuses on single medium of water body, uses scattered point position low-frequency monitoring data.

This invention discloses a marine sand transfer hopper based on efficient mixing of mud, sand, and water, and its usage method, belonging to the field of sand transfer hopper technology. The marine sand transfer hopper based on efficient mixing of mud, sand, and water includes a conical hopper, and further includes: a square receiving hopper fixed to the upper side of the conical hopper; multiple guide plates equidistantly arranged on the inclined inner wall of the square receiving hopper; a grid frame fixed inside the conical hopper and the square receiving hopper; and a material pipe fitting including an inlet pipe and an outlet pipe located on the lower side of the conical hopper. This invention drives a stirring component to perform reverse rotation and axial reciprocating motion to powerfully break up sand clumps, achieving three-dimensional mixing. Simultaneously, it drives the guide plates to periodically oscillate, effectively preventing sand from sticking to the wall or forming material arches. This integrates receiving, impurity removal, anti-clogging, and efficient mixing, significantly improving operational efficiency and reliability.

The application discloses an electro-catalytic oxidation system and method and an ecological joint treatment method for in-situ remediation of water body sediments, which utilizes an intelligent pulse power controller to perform intermittent pulse electro-catalytic oxidation on the bottom mud at the water bottom, generates hydroxyl radicals through in-situ catalysis of an anode to degrade organic pollutants of the bottom mud, generates micro-bubbles in the interstices of the bottom mud through the electrolysis of water to improve the oxidation-reduction potential, and further reserves time for the soluble pollutants in the interstitial water of the bottom mud to sufficiently diffuse to the surface of the electrode, so as to avoid energy waste caused by concentration polarization. Through reverse power supply, the polarity of the anode and the cathode is instantaneously reversed, trace amounts of acidic substances and gas generated through in-situ electrolysis are utilized to strip off the calcium and magnesium scale attached to the surface of the cathode, and manual cleaning and maintenance under water are realized. In combination with the planting of submerged plants on the treated bottom mud, ecological joint treatment is realized, the root system of the submerged plants is utilized to perform long-term ecological fixation and water purification on the treated sediments.

This invention discloses an AI-based precision feeding system for aquaculture, belonging to the field of aquaculture. The system includes: an environmental monitoring module for collecting data on dissolved oxygen, water temperature, and light intensity; a sonar positioning module for acquiring data on the center of gravity height of fish populations; an AI-coupled calculation module for calculating the real-time feeding rate based on environmental parameters and center of gravity height using a multi-parameter coupling model; and an execution control module for driving the feeding machine according to the feeding rate. This invention achieves deep coupling between environmental physical parameters and biological behavioral indicators, effectively improving feeding accuracy through multi-dimensional assessment of fish feeding desire, reducing feed conversion ratios, minimizing water pollution, and shortening the aquaculture cycle.

The application discloses a kind of spatiotemporal continuous land surface water body generation methods based on multi-source geospatial data, belong to remote sensing information processing and geographic information technical field.The method includes: obtaining the multi-source geospatial data related to water body distribution, including climate, hydrology and topographic data;It is spatiotemporal resolution and coordinate system, constructs pixel level characteristic variable;Based on existing water body data constructs training sample library;Using random forest or gradient boosting tree and other machine learning methods trains water body distribution reconstruction model;The model is applied to historical or missing time node, and water body distribution prediction result is generated every time phase;Finally form long time sequence, spatially continuous, resolution consistent land surface water body grid data set.The application can effectively fill in remote sensing data missing, improve the spatiotemporal continuity and consistency of water body data, suitable for wide range, long time sequence water body dynamic monitoring and analysis.

The application discloses an in-situ soil remediation system, which comprises a cleaning liquid storage unit, a medicine injection unit, an extraction unit and a water treatment unit, the medicine injection unit is connected with the cleaning liquid storage unit and extends into the air zone, the extraction unit extends into the underground water, the water treatment unit comprises a device main body, a first mud-water separation mechanism, a second mud-water separation mechanism and a water flowing mechanism, a sedimentation chamber, a coagulation chamber and a filter chamber are sequentially arranged in the device main body, the extraction unit is connected with the sedimentation chamber, the filter chamber is connected with the cleaning liquid storage unit, and the first mud-water separation mechanism and the second mud-water separation mechanism are arranged outside the sedimentation chamber and the coagulation chamber respectively. Through soil leaching and filtration, large particles and pollutants such as heavy metals in the water body are removed, clean water flows back into the cleaning liquid storage unit to realize recycling, and the precipitates at the bottom of the sedimentation chamber and the coagulation chamber can be cleaned, and the impurities mixed in the water body can be intercepted.

The utility model discloses a river aeration machine impeller structure, include: vertical motor, the bottom fixed connection of vertical motor has vertical speed reducer, it is characterized by: the top fixed connection of vertical speed reducer has motor stabilizing plate, motor stabilizing plate fixed connection in the back of vertical motor, the bottom fixed connection of vertical speed reducer has the connecting shaft, the bottom of connecting shaft is established with a plurality of accommodation groove, through warning light can utilize the light of own structure and appear to the surrounding personnel warning, prevent personnel approach device, be touched by the inside structure of impeller subassembly and be injured, and impeller subassembly can rotate and agitate water body and greatly increase water - gas contact area and contact time, destroy the air film resistance of water surface, force oxygen to dissolve in water in the meantime, utilize own structure and cut the winding aquatic weeds and other sundries, and with anti - winding component intercombination, utilize own shape and prevent sundries winding.

The application discloses a lifting protection mechanism for a water source monitoring device of an ecological protection zone, both ends of the protection cylinder are designed as openings, and protection nets are fixed in the openings; rotating pieces are rotatably installed between the two groups of protection nets through bearings; the upper and lower ends of the rotating pieces pass through the protection cylinder and are located above and below the protection cylinder respectively; water quality monitoring structures for water quality monitoring are installed on the rotating pieces; an upper cleaning structure for cleaning the upper protection net is installed at the upper end of the rotating piece; and a lower cleaning structure for cleaning the lower protection net is installed at the lower end of the rotating piece. The lifting structure is arranged to drive the protection cylinder to slide up and down along the guide column, and the timing forward and reverse rotation control of the driving motor can make the protection cylinder be at different depths underwater at different time periods, so that multi-dimensional monitoring of the vertical section of the water body is realized.

This invention provides an intelligent control method and device for automatically extracting seawater, belonging to the field of automated control technology for mariculture. The method acquires current time, geographical location, and tidal time data; uses a water level sensor to detect whether the current water level has reached a preset threshold; and uses a water quality sensor to detect the water's conductivity to determine if it is seawater. When the water level meets the standard, the water is confirmed to be seawater, and the current time is within the high tide period, the pumping equipment is automatically started. The device includes a water level sensor, a water quality sensor, a communication module, a positioning module, a control module, and a relay control interface. This invention, through a multi-condition verification mechanism, avoids misjudgment due to rainfall and water accumulation and malfunctions caused by tidal fluctuations, achieving fully automated intelligent control of seawater extraction operations. It solves the problems of high labor intensity, high risk of nighttime operations, and frequent malfunctions associated with traditional manual operations, thus improving the production efficiency and safety of mariculture.

1. The name of the design product: sound wave display. 2. The use of the design product: used as a science popularization instrument to demonstrate the different water wave fluctuation patterns of the water surface in a circular container under different sound wave frequencies. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The present disclosure provides an algal cleaning device, comprising a first connecting part and a second connecting part, the first connecting part is arranged on one side of the second connecting part along a first direction, the first connecting part is suspended above the water surface, the second connecting part is sunk below the water surface, and a gap is reserved between the first connecting part and the second connecting part for the algal-containing water to enter; a chamber is arranged in the second connecting part; a filter is arranged in the chamber; a flow guide is arranged on one side of the filter along the first direction, and a channel is arranged at the bottom of the second connecting part and communicates with the chamber. By forming a continuous water flow circulation through the flow guide, the algal-containing water on the water surface is automatically sucked in, the algal water is separated through the filter, and the automatic delivery, collection and storage of algae are completed through the collection part, without manual scooping, unloading intervention throughout the process; compared with the traditional manual fishing, the algal removal efficiency is greatly improved, the spread of algae is effectively curbed, and the treatment effect is obvious.

The application discloses a water laser echo signal processing model training method and a water depth measuring method, and belongs to the field of laser radar water depth detection. The method comprises the following steps: obtaining multiple groups of underwater laser echo signals and preprocessing to obtain an underwater laser echo signal dataset; the preprocessing comprises the following steps: after normalizing each group of underwater laser echo signals, labeling the data points located on the rising edge of the water surface waveform as water surface points, labeling the data located on the falling edge of the water bottom waveform as water bottom points, and labeling the remaining data points as noise points; building a classification model for predicting the types of the data points in the underwater laser echo signal and training the classification model by using the underwater laser echo signal dataset to obtain an underwater laser echo signal processing model. The application can accurately identify the data points located on the rising edge of the water surface waveform and the falling edge of the water bottom waveform in a complex environment, and provides a reliable basis for calculating the time difference between the water bottom points and the water surface points, thereby improving the measuring accuracy of the water depth.

This invention discloses a method and device for precise fish feeding based on water surface ripple induction and visual feedback. The method involves artificially generating physical ripples on the water surface to simulate live bait disturbance and induce fish aggregation. Feeding is then initiated, and a real-time video stream is acquired. After image enhancement and feature map construction, a background suppression model is used to remove water ripple interference and accurately extract the salient areas of the feed. Subsequently, the instantaneous feed drift flux crossing the visual warning line and the cumulative loss within the studied time window are calculated. Once the cumulative loss exceeds a preset threshold, it is determined that the fish have stopped feeding, and feeding is stopped. This invention effectively stimulates the fish's appetite for artificial formulated feed through physical means and constructs a closed-loop feedback control mechanism based on the drift flux of uneaten feed. It solves the problems of low fish feeding willingness, high false detection rate, and difficulty in accurately controlling the feeding amount in traditional feeding methods, significantly reducing feed waste and water pollution while ensuring sufficient feeding.

The utility model discloses a water quality monitoring sampling device based on unmanned plane delivery realizes the goal of automatic sinking, fast, automatic sampling after delivery. The top and bottom of sampling cylinder are equipped with annular flange and check valve mounting disc, the annular flange is connected unmanned plane through the rope, and the check valve core is installed in the ladder hole of check valve mounting disc, and the spring is arranged between check valve core and ladder hole, the slip ring sliding sleeve is arranged on the outside of sampling cylinder and the magnetic ring body is fixedly installed on the slip ring, the inner chamber of sampling cylinder is provided with magnetic piston assembly, the magnetic piston assembly is attracted with the magnetic ring body of outside, when the magnetic ring body moves, the magnetic piston assembly is driven to move in the sampling cylinder. The technology uses unmanned plane to assist the suspension operation, realizes the goal of automatic sinking after delivery, and the water quality of water bottom layer is fast and automatically sampled, the check valve core is automatically closed after sampling, and returns to the shore quickly, and can repeatedly sample.