436 results about "Aquatic environment" patented technology

The invention discloses a marine plankton hyperspectral imaging detection system, relates to the technical field of spectrum detection, and is used for solving the problem of poor spectrum classification and recognition in a water body environment. According to the method, the hyperspectral image and the environmental disturbance parameters are synchronously acquired, and the disturbance mapping sequence is constructed, so that accurate alignment between the image and disturbance is realized. A disturbance contribution weight matrix is constructed based on a dominant wave band, pixel-level spectrum stripping is carried out, a plankton purification spectrum is extracted, the spectrum purity and the recognition accuracy are improved, and a spectrum abnormal drift region is precisely recognized in combination with derivative spectrum change and image texture features; a coupling relation between the drift region and background disturbance is further established, a dynamic interference factor map is generated, and identification model parameters are dynamically adjusted, so that the identification stability and classification accuracy of the system in a complex interference environment are improved, and the method is suitable for multi-scene marine ecological monitoring.

The invention relates to an aquatic environment simulation monitoring method and device for evaluating the influence of pollutants, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring environmental parameters and dividing the range of a fine model based on the environmental parameters; constructing a simplified model based on the environmental parameters in the non-fine model range; constructing a fine model based on the environmental parameters in the fine model range; and outputting and displaying a corresponding simulation result based on the simplified model and the fine model. By the adoption of the method, through multi-scale coupling of the simplified model and the fine model, it can be guaranteed that the diffusion trend of pollutants can be rapidly simulated in a large range, detailed analysis can be conducted in the local key area through the high-precision model, and therefore the overall simulation efficiency and precision are improved.

Techniques for analysis and deep learning modeling of sensor-based object detection data in bounded aquatic environments are described, including capturing an image from a sensor disposed substantially above a waterline, the sensor being housed in a structure electrically coupled to a light housing, converting the image into data, the data being digitally encoded, evaluating the data to separate background data from foreground data, generating tracking data from the data after the background data is removed, the tracking data being evaluated to determine whether a head or a body are detected by comparing the tracking data to classifier data, tracking the head or the body relative to the waterline if the head or the body are detected in the tracking data, and determining a state associated with the head or the body.

The invention relates to the technical field of computer vision and radar perception, in particular to a ship intelligent detection system based on a convolutional neural network and radar signal processing, which comprises a ship three-dimensional perception modeling module, a visual feature hierarchical fusion module, a target detection module and an anomaly detection module. The system emphatically utilizes deep learning methods such as a convolutional neural network and the like to realize three-dimensional space modeling and visual feature extraction of a ship by a radar in a water area environment. And a layered adaptive fusion and mutual information enhancement mechanism is adopted. The end-to-end detection model introduces a spatial hierarchy weighting strategy, so that the object detection accuracy and interpretability under the conditions of multi-target density, shielding and dynamic change in a complex water scene are improved. The system realizes continuous tracking, anomaly detection and risk early warning of ship navigation behaviors based on space-time dynamic modeling. The whole scheme has high precision, strong robustness and adaptive ability, and can meet the requirements of ship detection and intelligent management and control in complex water area environments such as smart ports and water traffic.

An aquatic cleaning system includes a pool cleaner having a housing, a drive system for moving the housing, and a debris basket associated with the housing. The debris basket is designed to receive debris from the aquatic environment. The system includes a data capture system including an imaging device operably coupled to the cleaner. The system also includes a detection system having a storage medium storing a trained model, and a processor designed to receive data elements from the data capture system and input the data elements into the trained model to identify a detected object within the aquatic environment as being debris or non-debris. The system also includes a control system in communication with the detection system and the drive system to move the pool cleaner toward the detected object identified by the detection system when the detected object is identified by the detection system as being debris.

The invention provides an AI-based trachinotus ovatus juvenile fish culture water parasite prediction and prevention method and system, and the method comprises the steps: collecting multi-source data from a culture water body through a sensor array, including a nucleic acid signal, a fish school behavior track and an environment parameter sequence, and obtaining an original data set; unifying the data format and the acquisition frequency according to the original data set by adopting a time sequence alignment method, and obtaining an aligned feature flow; aiming at the aligned feature flow, applying a convolutional neural network to extract a space-time pattern of a nucleic acid signal and an abnormal index of a fish school behavior, and determining an extracted feature set; if the abnormal index in the extracted feature set exceeds a preset threshold value, a causal association between environmental parameters and parasitic risks is classified through a support vector machine, and a preliminary risk level is judged; simulating a water body change scene according to the comprehensive causal model to obtain a predicted trajectory of parasite propagation; and determining a quantitative score of the parasite risk and generating a prevention and control instruction sequence by comparing the predicted trajectory with the real-time monitoring data.

Multi-parameter water analysis system with a holder removably engageable in an enclosable water chamber having an inlet and outlet in line with plumbing of an aquatic environment and allowing water from the aquatic environment to enter the enclosable water chamber for a chemical indicator of the holder to indicate a physical change via an optical reader, the holder configured to move with respect to the optical reader at least in part due to a motive force provided by the flow of water from the inlet in the enclosable water chamber.

The invention provides an unmanned ship grabbing and positioning system based on multi-body configuration design, and belongs to the technical field of unmanned ships, the unmanned ship grabbing and positioning system comprises a multi-body ship body, a machine vision module, a positioning calculation unit, a stable platform, a grabbing device and a control module, the multi-body ship body is composed of a double-hull structure or a three-hull structure; the machine vision module is used for identifying a target object and acquiring visual information of the target object; the positioning calculation unit is connected with the machine vision module and is used for calculating spatial position coordinates of the target object according to the acquired vision information; the stable platform is arranged on the multi-hull ship body; the grabbing device is installed on the stable platform and used for grabbing the target object according to the coordinates calculated by the positioning calculation unit. The robot has the comprehensive advantages of being high in environmental adaptability, high in positioning precision, flexible in operation, good in controllability, high in maintainability and the like, and can efficiently cope with target object grabbing operation in the complex water environment.

Apparatus for servicing a structure has one or more buoyancy chambers attached thereto such that the angle of the apparatus when floating may be adjusted. The attachment may be by a pivotal connector with a pivot point at or near a midpoint or centre of gravity of the structure. The apparatus may comprise a frame that can be opened to fit around the structure to be serviced. This may facilitate attachment of the apparatus to angled structures in an aquatic environment.

This invention provides a chitosan-loaded biochar and its applications. The provided chitosan-loaded biochar is prepared by treating biochar with an alkaline solution, followed by mixing the modified alkaline-treated biochar with a solution containing dissolved chitosan. The chitosan-loaded biochar prepared by this invention can be used to adsorb chemical pollutants in aquatic environments and can also be used as a carrier for microorganisms. By modifying the biochar with potassium hydroxide, this invention allows for the loading of more chitosan, significantly improving the utilization rate of chitosan. This invention increases the specific surface area of ​​the biochar, thereby increasing the attachment sites for chitosan. Compared to other methods that increase chitosan loading by increasing the thickness of the chitosan, this invention not only allows for a greater chitosan loading on the biochar but also ensures a more uniform distribution of chitosan on the biochar, fully leveraging the advantages of chitosan-loaded biochar.

An LED illuminated buoy system is disclosed, designed to enhance maritime safety and visibility. The system includes a weighted base with a conical shape for stability and a semi-translucent flotation part that extends above the waterline. The buoy houses an LED light source within the base, programmable for various colors and patterns. A sealing connection between the base and flotation part prevents water ingress. The system also features a communication interface for data transmission and remote operation. The buoy can be anchored securely and is adaptable for use as a lamp on land. The system's design allows for easy assembly and maintenance, with environmental resistance features integrated for durability. The buoy serves as a navigational aid, safety marker, and versatile lighting solution in aquatic environments.

A waterproof audio earphone device with at least one brace with a curved shape, is configured in a necklace-like manner, with an adjustable securing mechanism coupled to a portion of the brace, to tighten the brace about the prospective user's neck. A smartwatch or music device holder (optionally removable) is disposed in the brace near chest level and a waterproof wireless communication module is coupled to the brace and configured to communicate to a prospective smartwatch / music device disposed in the holder. Audio volume control buttons are disposed on the wireless communication module or the brace or along the earphone wire(s). A pair of earphones are coupled via wires to at least one of the wireless communication module(s) and the brace. And water sealing tips disposed interior of the earphones, the tips preserving the audio quality of the earphones when worn in an aquatic or semi-aquatic setting by a prospective user.

The present application provides biodegradable microcapsules, based on specific poly ß-amino ester shells that can encapsulate and retain cargoes such as, lipophilic, or hydrophobic core materials comprising fragrances, butters, essential or other oils; or oil solubilized ingredients, process of making said biodegradable microcapsules and their applications in various industries. Present application further provides biodegradable shell materials that show evidence of biodegradation or non-persistence in aquatic based and / or soil or compost based environments, and which are stable on storage before use.

The invention discloses a dense dual-network anti-swelling self-adhesion hydrogel sensor based on multiple dynamic crosslinking as well as a preparation method and application of the dense dual-network anti-swelling self-adhesion hydrogel sensor. The preparation method specifically comprises the following steps: adding acrylic acid, hydroxyethyl methylacrylate, a chemical cross-linking agent and a photoinitiator into deionized water, and stirring at room temperature until the materials are completely dissolved; then, adding a certain amount of tannic acid and chitosan quaternary ammonium salt into the mixture, and fully stirring until a uniform precursor solution is formed; then, the precursor solution is transferred into a reaction template, and the reaction template is placed under an ultraviolet lamp to initiate curing; therefore, the anti-swelling hydrogel can be obtained, in various solvents, the material has good anti-swelling performance and shows excellent adhesion and sensing durability, and the problems that a traditional hydrogel sensor is limited in application in a wet environment and loses sensing performance are solved. The system can be widely applied to human body motion monitoring and underwater information transmission in a water environment, and underwater communication is realized.

A method for enhancing photosynthetic productivity in aquatic environments through precision electrochemical nutrient delivery can involve deploying a pair of electrodes within a water-based matrix, where the first electrode functions as an anode and the second as a cathode, forming an electrochemical cell with the water serving as an electrolyte. At least one of these electrodes can be composed of or coated with an inorganic nutrient, facilitating a precise and low-concertation release of nutrients through controlled electrochemical nutrient delivery (CEND). A specified potential difference can be established between the electrodes to control the rate and amount of nutrient delivery. This such a potential difference can facilitate a precise addition of an inorganic nutrients into the water, such as to promote a growth or carbon capture capabilities of photoautotrophic organisms.

The invention discloses a foldable mesh cage type ampullaria gigas trapping device and a trapping method, and relates to the technical field of biological control. Comprising a folding net cage main body, a snail collecting cage arranged on the folding net cage main body and communicated with the interior of the folding net cage main body, a food calling bag arranged in the folding net cage main body in the length direction, a food calling agent contained in the food calling bag, a plurality of snail inlets formed in the folding net cage main body and guide assemblies arranged on the outer sides of the snail inlets. One end of the folding mesh cage body away from the conch collecting cage is closed; each pomacea canaliculata collecting cage is provided with a funnel-shaped inlet for collecting pomacea canaliculata and a closed net bag, and a phagostimulant is placed in the closed net bag; the portable folding chair is reasonable in design, has a foldable design and is convenient to carry and store. The net cage structure effectively traps the ampullaria gigas and prevents the ampullaria gigas from escaping, and meanwhile a phagostimulant can be placed to attract the ampullaria gigas to enter the net cage. The device is suitable for rice fields and other aquatic environments, is easy to install and can be repeatedly used, and pollution to the environment is greatly reduced.

Disclosed herein is a hand-held underwater dredge integrated with a metal detector, designed for locating and retrieving metallic objects from aquatic environments. Equipped with a suction-generating electric pump and powered by an onboard battery to enable operation while fully submerged, the dredge features a pipe system leading to a catch can that captures metal items while expelling the water drawn into the pipe system by the generated suction. In operation, users scan a riverbed, seabed, or lakebed using the metal detector. Once a metal item is detected, the user places the suction end of the pipe system over the metal item and activates the electric pump to start the suction, leading to capture of the metal item in the catch can for retrieval. This streamlines the process of underwater treasure hunting, combining detection and collection into a single user-operated system.

The invention relates to the technical field of carbon nanosheet preparation, and discloses a carbon nanosheet precursor ratio intelligent decision-making method based on machine learning. Data collection: collecting data samples of different mass ratios, corresponding preparation parameters and performance indexes of the carbon nanosheets of the citric acid and the urea in the process of preparing the carbon nanosheets by the microwave-assisted method; 2, data preprocessing: preprocessing the collected data samples, including data cleaning, normalization and feature selection, so as to improve data quality and applicability; according to the intelligent decision-making method for the carbon nanosheet precursor proportion based on machine learning, the proportion of citric acid and urea is accurately regulated and controlled through a machine learning model based on historical data and real-time feedback, so that the structure and performance of the carbon nanosheet are better, and the detection sensitivity of an electrochemical sensor to substances such as heavy metal ions Cu is improved; the detection limit is reduced, the anti-interference capability is enhanced, and stable and accurate detection in a complex water environment is ensured.

The utility model discloses a foldable mesh cage type ampullaria gigas trapping device, and relates to the technical field of biological control. Comprising a folding net cage main body, a snail collecting cage arranged on the folding net cage main body and communicated with the interior of the folding net cage main body, a food calling bag arranged in the folding net cage main body in the length direction, a food calling agent contained in the food calling bag, a plurality of snail inlets formed in the folding net cage main body and guide assemblies arranged on the outer sides of the snail inlets. One end of the folding mesh cage body away from the conch collecting cage is closed; each pomacea canaliculata collecting cage is provided with a funnel-shaped inlet for collecting pomacea canaliculata and a closed net bag, and a phagostimulant is placed in the closed net bag; the portable folding chair is reasonable in design, has a foldable design, and is convenient to carry and store. The net cage structure effectively traps the ampullaria gigas and prevents the ampullaria gigas from escaping, and meanwhile a phagostimulant can be placed to attract the ampullaria gigas to enter the net cage. The device is suitable for rice fields and other aquatic environments, is easy to install and can be repeatedly used, and pollution to the environment is greatly reduced.

The embodiment of the invention discloses a reservoir greenhouse effect evaluation method based on a physical driving neural network. The method comprises the following steps: collecting historical data of a target reservoir monitoring station; establishing a river reservoir one-dimensional nitrogen element transport model based on the nitrogen element transport process of the target reservoir, determining a nitrification and denitrification coefficient calibration neural network in the nitrogen element transport process of the target reservoir according to the river reservoir one-dimensional nitrogen element transport model, and a corresponding to-be-optimized target function, inputting historical data to the to-be-optimized target function, and determining a nitrification and denitrification coefficient calibration neural network in the nitrogen element transport process of the target reservoir according to the to-be-optimized target function. Determining neural network optimization parameters so as to determine nitrification and denitrification optimization coefficients; and evaluating greenhouse gas emission of the target reservoir based on the nitrogen element real-time data of the target reservoir and the nitrification and denitrification optimization coefficient. According to the embodiment of the invention, the one-dimensional nitrogen element transport equation is utilized, the actual aquatic environment of the reservoir is combined, the physical constraint of the nitrification and denitrification coefficient calibration process is increased, and the greenhouse gas emission of the reservoir is accurately evaluated.

The invention discloses a fishery water body environment dissolved oxygen control optimization method, and belongs to the technical field of control optimization, and the method comprises the steps: S1, constructing a fishery water body management dissolved oxygen PID control system; s2, introducing an improved barber optimization algorithm; s3, setting a dissolved oxygen PID control parameter in the fishery water body management dissolved oxygen PID control system by using an improved barber optimization algorithm, and obtaining an optimal PID control parameter through optimization; and S4, setting the three optimal control parameters obtained through optimization by using the improved barber optimization algorithm as parameters of a dissolved oxygen PID controller in the fishery water body management dissolved oxygen PID control system, and optimizing a dissolved oxygen regulation control effect. By introducing the improved barber optimization algorithm, higher optimization precision is realized, and a PID controller parameter solution with better performance is obtained, so that the dissolved oxygen concentration of the water body can be more accurately and stably maintained, and a reliable technical guarantee is provided for fishery water body dissolved oxygen management.

The invention provides a low-flow-resistance underwater sound insulation device which is characterized by comprising a plurality of air bags with the longitudinal sections in the shape capable of being densely laid. A set gap is kept between every two air bags, and the air bags are perpendicular to the water surface The device has the advantages that the broadband sound insulation performance is excellent, the main frequency band of underwater noise measurement is covered, and the influence of various noise sources on the test environment can be effectively inhibited; the hydrodynamic compatibility is good, the through-flow design of air bag array arrangement can maintain low flow resistance while realizing sound isolation, and significant disturbance to a test environment is avoided; and the modular design of the air bag is convenient to install, maintain and expand, and large-scale deployment in various water area environments is facilitated.

This invention specifically relates to a biomimetic underwater robot body perception and autonomous obstacle avoidance method based on dual-path 1D-CNN, comprising: measuring the deformation data of the structure during water movement using digital image correlation equipment; deploying multiple flexible sensors in an array in areas of significant deformation to accurately acquire deformation signals; a central control unit monitoring the sensor signals in real time and performing collision detection using a lightweight dual-path 1D-CNN algorithm; when a collision signal is detected, the central control unit automatically issues control commands, which are converted into motor output parameters by a central pattern generator to change the robot's motion posture, enabling autonomous obstacle avoidance. This invention achieves real-time motion monitoring and highly robust, low-latency autonomous obstacle avoidance for biomimetic underwater robots in complex aquatic environments, providing an effective self-protection mechanism and improving its swimming safety and intelligence level.

This invention belongs to the field of wastewater treatment technology, specifically relating to a method for treating wastewater from industrialized aquaculture. This invention combines physical, biological, and chemical treatment methods, enabling efficient wastewater treatment in a short time, reducing the footprint and operating costs of treatment equipment, and exhibiting high economic efficiency and practicality. The combined use of Spirulina with Bacillus licheniformis, Bacillus subtilis, and Micrococcus luteus forms a stable algae-bacteria symbiotic system in the aquatic environment, accelerating the removal of nitrogen and phosphorus from the aquaculture wastewater and effectively reducing the chemical oxygen demand (COD). After treatment using this method, the wastewater reuse rate is no less than 80%, and the treated wastewater quality meets national discharge standards.

This invention provides granular materials for environmental improvement that, after being introduced into a body of water, initially float to promote the attachment and dispersal of microorganisms, and then naturally sink to improve the bottom sediment. [Solution] This granular material is formed by mixing a base material containing iron powder and carbon powder with a lightweight porous material derived from plants and then press-molding it. The granular material has a fine void structure inside, and initially floats on the water surface or near the surface due to the buoyancy of the void structure and the lightweight porous material derived from plants. After a certain period of time, as water is absorbed due to the stagnation of the water and the iron powder oxidizes, the specific gravity increases and the material sinks. Without using any special power or equipment, it can gradually achieve both "diffusion and microbial attachment in the surface layer" and "improvement of water and sediment quality in the bottom layer" simply by being added. Furthermore, by using recycled materials such as used hand warmers as the base material, it is possible to provide a resource-recycling material with a low environmental impact.

This invention belongs to the field of SERS detection technology and relates to the application of an Ag / Bi4O5Br2 / Ni-Fe double hydroxide composite SERS substrate in the detection of CV in wastewater. First, a Bi4O5Br2 / Ni-Fe double hydroxide is prepared, and silver nanoparticles are loaded onto its surface using a liquid-phase chemical reduction method. This material combines the LSPR effect of silver nanoparticles with the interfacial coupling and multiple active sites of the Ni-Fe double hydroxide, enabling the regulation of interfacial charge transfer and enhancing molecular adsorption. Utilizing the excellent adsorption and enrichment properties of Bi4O5Br2, a highly efficient charge transport system is synergistically constructed from multiple components, improving the SERS chemical enhancement effect and amplifying the CV Raman signal. This invention overcomes the shortcomings of weak signals and insufficient stability of single substrates, achieving sensitive detection of trace CV in water. The substrate preparation process is simple, environmentally friendly, and highly practical, showing broad application prospects in the field of trace CV analysis in aquatic environments.

This invention provides a cobalt-based metal nitride nanozyme, its preparation method, and its applications. The cobalt-based metal nitride nanozyme provided by this invention is a cobalt-based nitride nanozyme Co4N-600 with a Co-N coordination structure. Experiments have shown that the nanozyme provided by this invention, when used as a catalyst in a PMS system for degrading organic matter, exhibits a high degradation rate and low toxicity of the degradation products, demonstrating great potential for application in complex aquatic environments. Furthermore, the nanozyme provided by this invention exhibits good stability and reproducibility, showing broad application prospects.

A method for enhancing photosynthetic productivity in aquatic environments through precision electrochemical nutrient delivery can involve deploying a pair of electrodes within a water-based matrix, where the first electrode functions as an anode and the second as a cathode, forming an electrochemical cell with the water serving as an electrolyte. At least one of these electrodes can be composed of or coated with an inorganic nutrient, facilitating a precise and low-concertation release of nutrients through controlled electrochemical nutrient delivery (CEND). A specified potential difference can be established between the electrodes to control the rate and amount of nutrient delivery. This such a potential difference can facilitate a precise addition of an inorganic nutrients into the water, such as to promote a growth or carbon capture capabilities of photoautotrophic organisms.

An offshore floating wave energy generator assembly for installation in an aquatic environment, the generator assembly comprising: a floating sphere having a cutout passage with a convergent configuration for capturing an incoming ocean wave and conveying seawater from a first end of the passage to second end of the passage; a turbine assembly located within an internal volume of the floating sphere, the turbine being positioned at or adjacent the second end of the passage to convert kinetic energy of the captured ocean wave into electricity.

An integrated intelligent equipment for processing hairtail. It comprises a rack, a feeding port, an inclined filter screen, a self-adaptive clamping and conveying module, a belly-splitting and internal organs removing module, a fixed-length cutting module, a cold-chain temporary storage module and a controller. The integrated intelligent equipment for processing hairtail has the following beneficial effects: the belly-splitting and internal organs removing module uses a reference for double cutters in the same station, after the belly-splitting cutter splits the belly, the internal organs removing cutter effectively opens the incision and completely scrapes off the internal organs, and the qualified rate of the finished product reaches more than 98%, solving the problem of internal organs residue in the industry. The self-adaptive clamping and conveying module adopts a pure mechanical structure combined with a limiting block and a compression spring, which is a special self-adaptive solution with low cost, high reliability, and is suitable for the characteristics of long and easy deformation of hairtail, avoiding the instability and high cost of the vision system in the humid and complex aquatic environment, and having stronger practicality.