22 results about "Marine debris" patented technology

This utility model discloses an automatic marine debris interception and collection device, which includes an outer shell, a debris collection bin inside the outer shell, a hollow layer inside the outer shell, a water inlet on one side of the outer shell, inclined panels fixedly connected to both sides of the water inlet, a drive assembly and a pumping assembly on the top of the outer shell, multiple filter holes on one side of the outer shell, and a feeding assembly on the top of the outer shell. Under the action of the drive motor, the impeller is driven to rotate, causing the water pump to pump water. Seawater is pumped from the water inlet into the hollow layer. The water flows through the through holes and filter holes in sequence, and converges into the first water pipe inside the conical hopper, and then is discharged from the drain outlet. The debris is blocked on the surface of the conveyor belt. While the impeller is rotating, the second pulley drives the first pulley to rotate under the action of the transmission belt. Under the action of the first baffle, the debris is conveyed upward until the top of the conveyor belt falls into the debris collection bin by gravity for unified collection.

The invention belongs to the technical field of ship maintenance auxiliary equipment, and particularly relates to a large-diameter electric wedge-type double-gate-disc gate valve adopting thread transmission. Comprising a valve seat, a valve plate, a base, a transmission mechanism and a driving mechanism, the valve seat is arranged under the water surface, the valve plate and the valve seat are arranged in a matched mode, the base is arranged above the valve seat, a lifting hole penetrating up and down is formed in the base, the transmission mechanism comprises a rotating cavity, a nut and a coupler, the rotating cavity is formed in the top of the base, and the nut is arranged in the rotating cavity. The nut is located in the rotating cavity, the top of the valve plate is connected with a lead screw, the lead screw penetrates through the lifting hole to be in threaded connection with the nut, and the driving mechanism drives the nut to rotate. The coupler rotates to drive the nut to rotate, so that the flashboard is opened and closed, the nut and the lead screw are connected above the water surface, and the lead screw and the nut are not in contact with sundries in a sea area and are prevented from being directly soaked in seawater. The lifting cavity and the rotating cavity play a protection role, and external force impact and collision are avoided. And normal operation of up-down opening and closing is ensured.

This application relates to the technical field of water conservancy facilities and discloses a tidal-powered automatic marine debris collector, which includes a collection bin with an inlet and a drain outlet on the side, the drain outlet being lower than the inlet height; a tidal gate installed at the inlet of the collection bin; a gate movably mounted on the collection bin for opening and closing the drain outlet; and a float connected to the gate, configured to move the gate according to the rise and fall of the external water level. During high tide, the rising external water level opens the tidal gate, exposing the inlet, while the float rises, causing the gate to close the drain outlet. During low tide, the tidal gate closes, while the float descends, causing the gate to open and expose the drain outlet. This application can reduce energy consumption.

This product is a razor made entirely of metal, with the movable part of the razor head integrated with the handle. It has a stylish and easy-to-hold volume, while the handle has a through-hole design to reduce weight, making it lightweight and less prone to dirt accumulation. The shape of this product, made entirely of metal, reduces plastic waste that contributes to marine debris, thus contributing to SDG Goal 14, "Conserve and sustainably use the oceans, seas and marine resources."

This utility model provides a marine debris sorting and collection platform based on baffle guidance and ratchet anti-backflow, applied in the field of marine debris collection technology. It includes a hull structure, a target recognition module, a baffle guidance mechanism, a ratchet anti-backflow mechanism, and an auxiliary grabbing mechanism. The main hull of the hull structure sequentially forms a feeding space, a guiding space, and a sorting and collection space. Baffles are installed in the guiding space to form two guiding channels, and sorting plates are installed in the sorting and collection space to form four sorting and collection compartments. The baffle guidance mechanism is used to change the movement path of the debris, and the ratchet anti-backflow mechanism is used to prevent the debris from reversing. The auxiliary grabbing mechanism is mounted on a support frame and is used to grab and process debris that is blocked, overlapping, or has abnormal guidance. The target recognition module is mounted on the support frame and is used to identify marine debris in the sea area in front of the hull and in the collection area inside the hull. This platform can realize the guidance, sorting, compartmentalized collection, and anti-backflow temporary storage of marine debris.

The invention discloses a hydraulic shearing device for offshore abandoned objects, and relates to the field of waste hydraulic shearing. The shearing device comprises a shearing mechanism arranged on an adjusting mechanism, a clamping mechanism is arranged on the shearing mechanism, the adjusting mechanism is used for adjusting the spatial position of the shearing mechanism and the spatial position of the clamping mechanism, and the clamping mechanism is used for clamping and fixing the offshore discarded object. And the shearing mechanism is used for shearing the clamped and fixed offshore discarded object. Mechanical cold shearing is adopted to replace traditional hot melting cutting, the combustion explosion risk is avoided, and potential safety hazards of gunwale operators are greatly reduced; meanwhile, flammable and harmful cutting media do not need to be used, pollutant emission is reduced, and the marine ecological environment is protected. And through a telescopic electric cylinder, a pitching electric cylinder and a quadrilateral connecting rod structure, front-back movement and pitching angle adjustment of the shearing mechanism and the clamping mechanism are achieved, offshore discarded objects at different positions and angles can be accurately adapted, the operation range coverage is wide, and adaptability is high.

The offshore wind power generation equipment with the automatic garbage collection function comprises a mounting ring arranged on the periphery of a fan tower in a sleeving mode, and a plurality of protection mechanisms and collection mechanisms are evenly distributed on the mounting ring. The protection mechanism is composed of a flow guide cover, a flow baffle and a herringbone flow guide plate and guides sea waves to form directional vortexes to be drawn into floating garbage. The collecting mechanism comprises an internally and externally nested double-barrel structure, an inner barrel is driven to descend by utilizing garbage gravity and water flow, an impeller is driven to drain water through spiral transmission, and automatic garbage enriching and draining are achieved. The equipment is further integrated with a hydraulic shock absorber, a buffering air bag, a buoyancy plate and a linkage pressing frame, wave impact is effectively absorbed, the posture is kept stable, and garbage can entering is assisted. The device does not need extra energy, can synchronously realize marine litter cleaning and fan foundation protection, remarkably improves the environmental protection property, safety and operation and maintenance efficiency of offshore wind power facilities, and is suitable for various offshore wind power plants.

The utility model provides a modularization can splice formula marine clearing away obstacle tow harrow ware, including base, is set up with T shape groove along the width direction of river course in base, main beam is equipped with T type convex edge with T shape groove adaptation on it, T type convex edge is configured as can slide into T shape groove along the width direction of river course, and docking mechanism, docking mechanism includes a wedge, the wedge is configured as: after T type convex edge slides into T shape groove, is pushed into the space between T shape groove and T type convex edge from the direction of river course width parallel, to produce a lateral locking force, to rigidly connect main beam and base, functional head module, and main beam is connected, the utility model discloses through the docking mechanism of standardization, can replace the functional head module of a plurality of such as snatch net, cable break, tear cloth fast, carries out processing to different underwater obstacles, and the effect is more thorough to clearing away obstacle operation more pertinence.

This invention discloses a material hierarchy perception, underwater degradation adaptation, and long-tail category optimization method and system for marine debris detection, belonging to the fields of computer vision and intelligent marine environmental monitoring. The method constructs a material category system, calculates image color shift, contrast reduction, blurring degree, and scattering intensity to obtain an underwater degradation score, and adaptively fuses branch features from the original and enhanced images. The detection network outputs the location, category, and material probability of debris targets, applying consistency constraints based on the hierarchical mapping between fine-grained and material categories. To address the long-tail distribution problem, category weights and resampling factors are constructed, and a long-tail loss function is introduced to enhance tail category recognition capabilities. Finally, multi-frame video results are temporally fused to output stable material classification and pollution statistics. This invention effectively improves the accuracy and statistical reliability of debris detection in complex underwater environments and is applicable to scenarios such as marine monitoring, environmental assessment, and intelligent cleanup assistance.

An object of a system according to an embodiment is to accurately specify a position and an amount of marine garbage, efficiently collect and analyze the marine garbage, and propose a garbage reduction measure.SOLUTION: A system includes an image analysis unit, a dust collection unit, a dust analysis unit, and a proposal unit. The image analysis unit analyzes the satellite image or the drone video to specify a position or an amount of the marine waste. The dust collection unit collects the dust based on the position information of the dust specified by the image analysis unit. The waste analyzing section analyzes the waste collected by the waste collecting section. The proposal section proposes a waste reduction measure on the basis of a result analyzed by the waste analysis section.SELECTED DRAWING: Figure 1

This application discloses a method for instance segmentation of marine debris sonar images based on an improved YOLOv8n-seg model, relating to the field of image segmentation. The method involves constructing an improved YOLOv8n-seg model, replacing the C2f module in the backbone with a C2PC-Cone module, replacing the C2f module in the neck with a VoV-GSCSP module, and replacing the Segment module in the head with an SA-segment segmentation head. The improved YOLOv8n-seg model is then trained and validated to obtain a marine debris sonar image instance segmentation model. The marine debris sonar image to be segmented is input into the trained model, and the instance segmentation result is output. This method achieves low-complexity, high-precision instance segmentation of marine debris sonar images, improving the model's deployment capability and segmentation accuracy on resource-constrained devices.

The invention belongs to the field of garbage cleaning, and provides a nuclear power plant cold source net bag automatic cleaning device which comprises a plurality of collecting net bags arranged in seawater, the wide opening of one end of each collecting net bag extends to the bottom of the ocean, a plurality of pile foundations are arranged close to the narrow opening of the other end of each collecting net bag, and suction pumps are installed on the upper surfaces of the pile foundations. A plurality of suction pipes are arranged on the outer surface of the suction pump side by side, a supporting net cover is clamped to the inner wall of a narrow opening of the collecting net bag, a supporting hose is installed between the suction pipes and the supporting net cover, and fastening devices capable of being quickly disassembled are arranged at the two ends of the supporting hose and used for connecting the suction pipes and the supporting net cover to the two ends of the supporting hose respectively. Through wide-mouth interception of the collecting net bag and active suction of the suction pump, marine litter and organisms in a cold source water taking area can be rapidly cleaned, blockage of pipelines and equipment of a cold source system is reduced, stable conveying of a cooling medium is guaranteed, and the operation safety of a nuclear power plant is improved.

This invention relates to a method and system for fine-grained identification of marine debris based on UAV imagery. The method involves inputting UAV-collected marine debris images into a target detection model for feature extraction, and dividing the training data into multiple incremental tasks according to a predetermined category introduction order; after completing the first... t Training is performed on each type of incremental task, and then proceeds to the next stage. t Before training for the +1 class incremental task, a subset of samples is extracted from the data of the learned tasks and the current task. RoI features of the target instances are extracted, and category feature prototypes are constructed. Intra-task similarity and cross-task similarity are calculated to obtain task similarity, which represents the difficulty of category differentiation. Subsequently, based on task similarity, an enable / bypass control signal for fine-grained RoI discrimination modulation is adaptively output. Finally, subsequent class incremental task training continues, and the target category and location information are output. This invention can effectively alleviate the problem of fine-grained knowledge forgetting during the class incremental learning process and improve the accuracy of marine debris category identification.

The present application relates to the technical field of soil remediation, and particularly relates to a biological composite soil remediation agent based on marine waste and a preparation method thereof.The soil remediation agent of the present application is composed of shell powder, seaweed extract and microbial inoculum, wherein the viable cell count of the microbial inoculum in the biological composite soil remediation agent based on marine waste is 1-5x10 8 CFU / g; the mass ratio of the shell powder and the seaweed extract is 1-10:0.1-1.The soil remediation agent provided by the present application is expected to achieve more significant and more durable remediation effect on acidic and severely cadmium-contaminated soil in a shorter time, with lower application amount and economic cost, and simultaneously achieve improvement of soil ecological function, thereby providing a brand-new and comprehensive solution for safe utilization of agricultural land.

An efficient path planning method for a robot used for collecting marine debris includes: traversing all target positions of the marine debris by depth-first search (DFS) to generate a target position sequence; and calculating a target position with a lowest total cost by a path planning algorithm, and setting the target position with the lowest total cost as a next target position to be traversed for the robot. The efficient path planning method can plan an optimal or near-optimal cleaning path for the robot based on real-time environmental information, reducing unnecessary path repetition and ineffective motion, thereby significantly improving the cleaning efficiency.

This invention relates to a multi-functional, split-type marine waste treatment vessel, comprising: a main vessel for deploying auxiliary vessels and transporting waste; at least one auxiliary vessel for collecting soft waste; and at least one auxiliary vessel for collecting hard waste. The main vessel has multiple auxiliary vessel placement compartments (8) and multiple waste storage modules for storing different types of waste. The auxiliary vessels, each with different functions, are installed in their respective compartments on the main vessel. The auxiliary vessels are deployed via a multi-link docking module, which assists them in completing the waste dumping process. This treatment vessel integrates multiple functions, including waste sorting, waste collection, and waste transportation by land and water. To a certain extent, it avoids the location and environmental limitations of traditional surface plastic waste collection equipment, and solves problems such as low waste collection volume, low efficiency, and difficulty in sorting.

This invention discloses a method and system for identifying and intercepting floating marine debris using AI vision and radar fusion, belonging to the field of visual detection technology. The method includes: periodically scanning a preset marine area using a wide-area hotspot screening module to identify first-level suspicious areas, and instructing a surface vessel to intercept the debris; the surface vessel identifies and tracks debris in the suspicious areas, and after stabilization, triggers an inertial measurement unit and a miniature wave height radar to collect hull motion and wave data, combining this with continuous tracking information from visual sensors to optimize the interception position and failure probability, and finally intercepting the debris using a floating interception guide device. This invention solves the technical problems of existing technologies being unable to adapt to complex marine environments and dynamically changing debris distribution, resulting in low identification accuracy, low interception efficiency, and high failure rates. It achieves the technical effect of optimizing the debris interception position and path through the fusion of AI vision and radar, thereby improving the efficiency and success rate of debris interception.

1. Name of the product in this design: Waterborne garbage collection device. 2. Purpose of this design: For the collection of marine debris. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

This invention discloses an intelligent identification and classification method for marine debris based on multispectral UAV remote sensing imagery, belonging to the field of image processing technology. The method includes: acquiring and preprocessing remote sensing images of a predetermined sea area; constructing a color correction network to perform color correction on the preprocessed remote sensing images; acquiring multi-band features and spectral indices to enhance debris detection; fusing multispectral features using a multi-scale feature pyramid structure; training a conditional generative adversarial network (GAN), inputting the remote sensing images and multispectral features, and fusing the enhanced remote sensing images and the color-corrected remote sensing images pixel-by-pixel to obtain a multi-band fused feature map; constructing a lightweight detection network based on EfficientDet-Lite, using the multi-band fused feature map as input, and outputting the bounding boxes and categories of debris using a joint detection-classification architecture. This invention solves problems such as color distortion, blurred contours, and missed detection of small targets in marine debris identification, while ensuring real-time marine debris identification and classification.

An image-based floating marine object detection and distance measurement system for a small vessel of less than 10 tons is disclosed. The system comprises: an infrared stereo camera and an IR projector provided on a vessel; and an image display system which is connected to the infrared stereo camera and the IR projector through a control API, includes an image correction filter for correcting blurriness due to light reflection, shadow, and sea fog, detects the floating marine object (a discarded fishing net, a rope, a buoy, and marine litter) by a deep learning-based object detection model on the basis of pre-training data of the floating marine object, measures a distance between a camera of a vessel of less than 10 tons and the floating marine object, and displays an image to prevent vessel collision, damage to a propulsion shafting system, and an accident of entanglement between a vessel and floating marine debris through a forward hazard situation alert and a corresponding response. The system uses an infrared stereo camera and an IR projector provided on a small vessel of less than 10 tons in which hull motion, sea fog, and light reflection due to wind and wave heights exist on the sea, so as to detect a floating marine object posing a hazard during vessel navigation, by a vision recognition technology using a floating marine object recognition distance measurement algorithm and a deep learning-based floating marine object recognition model using an AI technology, prevents vessel collision, damage to a propulsion shafting system, and an accident of entanglement between a vessel and floating marine debris through a hazard situation alert and a corresponding response, monitors marine litter, and is used as a marine safe navigation assistance system for a small vessel that is vulnerable to the floating marine object.

1. Name of the product in this design: Marine debris collector (bionic blue whale). 2. Purpose of this design: Marine debris cleanup. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention relates to an unmanned aerial vehicle image-based marine litter fine granularity identification method and system, and the method comprises the steps: inputting a marine litter image collected by an unmanned aerial vehicle into a target detection model for feature extraction, and dividing training data into a plurality of class increment tasks according to a preset class introduction sequence; before finishing tth class increment task training and entering (t + 1) th class increment task training, extracting a sample subset from learned task and current task data, extracting RoI features of a target instance, constructing a class feature prototype, calculating task internal similarity and cross-task similarity, and obtaining task similarity representing class distinguishing difficulty; then, enabling / bypass control signals of RoI fine-grained discrimination modulation are output in a self-adaptive mode based on the task similarity; and finally, continuing to carry out subsequent class increment task training and outputting a target class and positioning information. According to the method, the problem of forgetting fine-grained knowledge in the class incremental learning process can be effectively relieved, and the marine litter class identification precision is improved.