15408 results about "Fishery" patented technology

A drone pod may receive, stow, and launch a drone. The drone pod may include a housing, a canopy movably coupled to the housing, a platform movably coupled to the housing, and a drone bay. The drone pod may be configured to move the canopy to expose the drone bay and raise the platform relative to a floor of the drone bay to receive the drone, lower the platform toward the floor of the drone bay and move the canopy to enclose the drone bay to stow the drone, move the canopy to expose the drone bay and raise the platform relative to the floor of the drone bay to launch the drone. The drone pod may be mounted on a vehicle. A system may include a drone pod and a drone, wherein the drone pod is configured to receive, stow, and launch the drone.

The invention discloses an intelligent fishery comprehensive evaluation system based on multi-dimensional indexes, and belongs to the field of intelligent fishery. The intelligent fishery comprehensive evaluation system based on the multi-dimensional indexes comprises a water quality monitoring unit, a prediction and early warning unit, a breeding regulation and control unit, an ecological evaluation unit and a decision output unit. The method solves the problem of hysteresis of the detection result in the prior art, can advance the water quality change trend and the red tide occurrence probability in the future by monitoring the water temperature, the dissolved oxygen, the pH value and other key water quality parameters in real time and by means of the prediction model, provides a key basis for breeding decision making, and improves the breeding quality. Execution equipment is flexibly adjusted according to real-time data and early warning information to improve the breeding environment and improve breeding benefits, meanwhile, multi-source data is integrated to comprehensively evaluate the influence of breeding activities on the ecological environment, ecological balance maintenance is assisted, comprehensive evaluation results are integrated to generate ecological improvement suggestions, resource allocation is optimized, and the economic benefit is improved. And the intelligent and ecological level of fishery is integrally improved.

The invention discloses a fishery culture pond temperature control optimization method, and belongs to the technical field of PID control optimization, and the method comprises the specific steps: S1, constructing a fishery culture pond temperature control system; s2, improving a dandelion optimization algorithm; s21, using a multi-elite opposite learning strategy to improve a mathematical model of a decline stage of the dandelion optimization algorithm; s22, improving a mathematical model of a landing stage of the dandelion optimization algorithm by using a self-adaptive segmented search strategy; s3, optimizing PID controller parameters in the temperature control system of the fishery culture pond by using an improved dandelion optimization algorithm; s4, applying the optimal three parameters Kp, Ki and Kd obtained in the S3 to a PID controller of a temperature control system of the fishery culture pond, and optimizing the temperature control of the culture pond; the fishery culture pond temperature control system is optimized through an improved dandelion optimization algorithm, and the temperature control performance and the control precision of the system are integrally improved.

Systems and methods provide adaptive collection of telemetry by an Information Handling System (IHS). Telemetry is identified that is ready for transmission by the IHS. A position of the telemetry is determined within a telemetry chain of telemetry generated by the IHS. A signaling pathway is selected for transmission of the telemetry based on the position of the telemetry within the telemetry chain.

The invention relates to the technical field of fish habitat treatment, in particular to a river fish habitat restoration method based on stair dam dismantling, which comprises the following steps: acquiring stair dam parameters, hydrological data and fish habitat demand data of a target river; constructing a habitat suitability curve, a habitat suitability index and an effective habitat area model of the fish habitat before dam dismantling; designing a plurality of groups of stair dam dismantling schemes, and simulating hydrological condition changes after dam dismantling in combination with a hydrodynamic model; according to the method, habitat suitability curves, a weighted available area method and river connectivity indexes under different dam dismantling schemes are calculated, a multi-objective optimization model is established to screen an optimal scheme, ecological benefits and engineering cost are comprehensively considered, the optimal dam dismantling scheme can be scientifically selected, a dam body with the maximum contribution to improvement of the ecological benefits is preferentially dismantled, and the dam dismantling efficiency is improved. And meanwhile, part of the dam foundation is reserved to reduce the influence of sediment discharge on the downstream, so that the engineering cost is reduced to the maximum extent while the ecological restoration target is achieved.

The invention relates to the technical field of mountainous river fish habitat habitat restoration, and relates to a mountainous river fish habitat restoration method based on numerical simulation optimization, comprising: acquiring habitat data of a mountainous river fish habitat, and performing preliminary ecological restoration measures on the mountainous river fish habitat; constructing a numerical simulation model to predict the erosion and deposition evolution result of the fish habitat in the mountain river after the preliminary ecological restoration in a set period, and identifying an area of which the erosion and deposition evolution degree meets a preset threshold value in the set period; and carrying out riverbed substrate transformation on the identified area based on the target fish, evaluating the habitat improvement effect under the combined action of the preliminary ecological restoration measure and the riverbed substrate transformation through a habitat suitability model, and completing the restoration of the fish habitat in the mountain river based on the evaluation result. According to the method, dredging, spur dike and substrate transformation are combined, and numerical simulation optimization is combined, so that the effectiveness, continuity and scientificity of restoration of the fish habitat in the mountain river are improved.

A method for studying interannual variation of marine heatwaves in the South Indian Ocean includes: investigating spatial distribution features and linear variation trend features of marine heatwaves in the South Indian Ocean according to obtained data; analyzing the relationship between an intensity of marine heatwaves in the South Indian Ocean and an El Niño-Southern Oscillation (ENSO) process; analyzing a spatial evolution of marine heatwaves in the South Indian Ocean and sea surface temperature (SST) anomalies during an El Niño event; analyzing energy contribution of ocean and atmosphere to marine heatwave events during the El Niño event; investigating physical mechanisms of the marine heatwaves in the South Indian Ocean; and determining whether the marine heatwaves in the South Indian Ocean are influenced by shortwave radiation and latent heat modulated by the ENSO process. The present disclosure reveals that marine heatwaves occur during the El Niño event in the South Indian Ocean.

The invention provides a sick juvenile fish identification method based on an improved YOLOv10 model, and the method comprises the steps: collecting a fish image in a water area as a to-be-detected image, and carrying out the preprocessing of the to-be-detected image, and obtaining an image data set; the method comprises the following steps: constructing a YOLOv10-UDFishNet model; the image data set is input into the YOLOv10-UFFishNet model, the YOLOv10-UFFishNet model is trained through the image data set, and the trained YOLOv10-UFFishNet model is obtained; and inputting a fish image in a water area to be detected into the trained YOLOv10-UFFishNet model to obtain a fish detection result and position information of a fish individual target. According to the method, the sick juvenile fish in the turbid underwater environment can be accurately and efficiently identified.

The invention discloses an offshore red tide multi-parameter real-time monitoring method and monitoring system based on a buoy array. The method comprises the following steps: S1, performing array deployment and topology configuration according to a sea area sensitivity degree, tide characteristics and a historical red tide trajectory; according to the invention, through risk differentiation buoy array deployment and redundancy topology, traditional isolated monitoring limitation is solved, and sea area full coverage and red tide diffusion tracking are realized; physical-chemical-biological multi-source sensing and in-situ detection are combined with data fusion, so that the problem of single parameter is solved, and the monitoring accuracy is improved; by means of liftable stratified sampling and in-situ algae species and toxicity analysis, the vertical monitoring blank is filled up, and the complete life cycle process of red tide from occurrence to regression is completely captured; through linkage of edge-cloud multi-model early warning and field equipment, a'monitoring-early warning-disposal 'closed loop is formed, and the red tide monitoring real-time performance and the emergency response capability are greatly improved.

In some embodiments, a system includes a memory, a processor, a display, and a set of sensors. The processor may be coupled to the memory and coupled to a boat. The set of sensors may include a subset of rower sensors associated with a rower and a subset of boat sensors associated with the boat. The subset of boat sensors may be configured to measure at least one environmental condition. The processor may be configured to generate normalized performance data associated with at least one of the boat and the rower for presentation on the display. The normalized performance data may be based in part on the at least one environmental condition measured by the subset of boat sensors. The normalized performance data may also be based in part on data collected by the subset of rower sensors.

The invention relates to an artificial hybridization fry breeding method for epinephelus fuscoguttatus and pink pink bass, which belongs to the technical field of distant hybridization breeding and comprises the steps of parent selection of epinephelus fuscoguttatus and pink pink bass, parent breeding, parent intensive breeding, gamete collection, artificial insemination, hatching of fertilized eggs and fry breeding. By means of reproductive regulation and distant hybridization technologies, two species belonging to two genera under the grouper family with different geographical distribution and different breeding time are hybridized, namely cross-generic hybridization under the grouper family is achieved, intergeneric reproductive isolation is broken through, and the breeding efficiency is improved. Therefore, new hybridized germplasm with excellent characteristics of high fertilization rate, high hatching rate, high survival rate, high growth speed and the like is cultivated.

The invention relates to a marine fishery breeding work ship deep water taking device and method, the marine fishery breeding work ship deep water taking device comprises a water taking cantilever, a submersible pump, a guide roller, a rolling part and a lifting device, the water taking cantilever is connected with a ship body through a rotation pair, and the water taking cantilever can stably descend underwater and keep the accurate water taking depth; the water taking method comprises the steps that the position and angle of a water taking cantilever are adjusted through a winding and unwinding winch, a temperature sensor at the water taking cantilever end monitors the seawater temperature in real time, and when the temperature reaches a preset value, a submersible pump is started to extract deep seawater; compared with a traditional method, the device has the characteristics of compact structure, simple operation, high efficiency and reliability; the problems that underwater butt joint is difficult, a hose is prone to damage and the like are solved, and operation efficiency and safety are remarkably improved; through the connection of the flexible short pipe, the flexibility and the stability in the water taking process are ensured, and meanwhile, the labor intensity of operators is reduced; the technology can be widely applied to marine fishery breeding, especially extraction of deep cold water resources, and has remarkable energy-saving, environment-friendly and economic benefits.

The invention discloses a reservoir ecological scheduling method integrating fish spawning and foraging demands, and the method comprises the steps: determining a scheduling target river reach based on the fish inhabiting and breeding habitat feature information and spawning site distribution information of a to-be-researched reservoir region; constructing a hydrodynamic model according to the dispatching target river reach; acquiring first hydrological demand information for scheduling the target fishes to lay eggs in the breeding season and second hydrological demand information for scheduling the target fishes to find food in the non-breeding season; on the basis of a hydrodynamic model, the first hydrological demand information and the second hydrological demand information, determining the ecological flow discharged by the reservoir; determining reservoir water level regulation and control information based on the water level change demand information for scheduling the target fishes to spawn in the breeding season and foraging in the non-breeding season; and performing reservoir ecological scheduling according to the reservoir discharged ecological flow and the reservoir water level regulation and control information. According to the technical scheme, the adverse effect of reservoir dispatching operation on fish oviposition and foraging can be relieved, and fish resource recovery and biodiversity protection are facilitated.

A method and system for fish identification based on body surface texture features and geometric features are provided. The method employs an improved Resnet network and a deep learning Yolov8 network to extract body surface texture features and geometric features of a fish on the basis of considering influences of fish tail swing and an oxygen concentration on a fish body form based on a small sample learning framework, and then realizes identity recognition of a fish individual by coupled analysis of the body surface texture features and the geometric features. The method can realize high-accuracy fish identification with few training samples of a fish to be identified from the perspective of actual application, provides theoretical basis and technical support for accurate fish stock assessment and accurate estimation of industrially farmed fish biomass, and meets the development requirements of modern agriculture.

The invention discloses a net cage fish school number estimation method based on fish school density, and the method comprises the steps: obtaining a sonar image corresponding to the rotation scanning of a target net cage by a sonar through a step S1 and a step S2, and extracting the fish school number corresponding to each sonar image based on image recognition; a linear correlation curve # imgabs2 # of the effective area # imgabs0 # and the sampling depth # imgabs1 # of the netting in water and a nonlinear correlation curve # imgabs5 # of the fish school density # imgabs3 # and the sampling depth # imgabs4 # are obtained through the step S3, finally, integration is conducted on the two curves according to intervals through the step S4, the fish school number of each interval is calculated in a layered mode, and the estimated value # imgabs6 # of the net cage fish school number in the target net cage is obtained through accumulation. The method fully considers the non-uniformity of the fish school density and the net cage netting area along with the depth change, can improve the measurement accuracy of the net cage fish school number, and has the advantages of high accuracy and efficient, rapid and convenient implementation.

The invention discloses a fish school counting method based on density map regression. The method comprises the following steps: S1, constructing fish school data sets with different densities; step S2, constructing a U-Fish network architecture; s3, constructing a U-Fish loss function; s4, using an image enhancement method to optimize the image quality, mixing the original image with the enhanced image to train the established U-Fish model, and obtaining a fish school counting model after training; and S5, inputting a to-be-detected image and a corresponding enhanced image into the trained fish school counting model, and outputting a density map and a counting result by the model. According to the method, the influence caused by water surface reflection and fish school overlapping can be effectively overcome, the counting precision is improved, and the complexity of model calculation is reduced.

The utility model discloses a feeding tray conveying and filling system for propagating lepidoptera larvae, which comprises a tray stripping part and a bearing assembly, the tray stripping part comprises a supporting platform, a penetrating opening is formed in the supporting platform, a bearing gap and a stripping gap are formed between two adjacent trays of a stack of trays, a material distribution supporting claw is arranged at the bearing gap, and a material distribution supporting claw is arranged at the stripping gap. A material distribution pusher dog is arranged at the stripping gap; the tray upstream transferring part is located at the upstream of the tray stripping part and can convey a stack of trays to the penetrating opening; the tray downstream transferring part is located at the position, corresponding to the penetrating opening, below the supporting platform and can convey the fallen trays to be fallen; the filling part is positioned above the tray transferred by the tray downstream transferring part and is provided with a filling outlet corresponding to the tray; and the insect receiving part comprises an insect receiving conveying belt and an egg conveying part and is used for conveying eggs into the tray. According to the system, the working efficiency is greatly improved, the structure is simplified, and the cost can be reduced.

The invention belongs to the technical field of fishery resource management, and discloses a fishery resource collaborative proliferation method based on a large water surface environment. The method comprises the steps of collecting water area feature data; the water area characteristic data comprises water quality data, substrate data, sound wave data and a water area image; aquatic organism monitoring is carried out according to the sound wave data, and aquatic organism data are obtained; combining the water quality data, the substrate data and the aquatic organism data to formulate a proliferation recovery strategy; performing fish resource evaluation according to the water area image to obtain fish school resource data; in combination with the water quality data, the substrate data, the aquatic organism data and the fish school resource data, preferentially selecting proliferation objects; based on the multiplication object, the multiplication release capacity is determined; according to the method, the accuracy and the intelligent level of fishery resource management are improved, strategies can be dynamically adjusted to cope with environmental changes, the population relationship in an ecological system is balanced, and the sustainable development capability of fishery resources is effectively improved.

The invention provides an ecology-imitating artificial propagation method for Dongquasichthys nobilis. The ecology-imitating artificial propagation method comprises the following steps: S1, selecting male and female parent fishes and putting the male and female parent fishes into an artificial ecology-imitating breeding pond for breeding; s2, in a non-breeding season, feeding female parent fish feed A for 2-3 times every day, and feeding male parent fish feed B for 2-3 times every day; s3, 2-3 months before breeding, female parent fish fortified feed I is fed 2-3 times every day, and male parent fish fortified feed II is fed 2-3 times every day; s4, after the gonad of the parent fish is mature, artificial spawning induction is conducted, and fertilized eggs are collected and hatched. According to the method, the ecology-imitating breeding environment is manufactured, so that the east astrostroma parent fish adapts to the artificial environment, the irritability is reduced, the east astrostroma parent fish is fed with different feeds in the non-breeding season and the breeding season, the ecological factor and nutritional requirements for gonad development of the east astrostroma can be met, the immunity of the east astrostroma parent fish is improved, gonad maturation is promoted, and the survival rate of the east astrostroma parent fish is increased. The quality of sperms and ova is improved, the fertilization probability is improved, the malformation probability of hatched larvae is reduced, and the breeding efficiency is improved.

A control system for a towed object (1, 6; 20; 30; 50) in or on a body of water comprise one or more towing members (3) extending between the object (1) and a towing vessel (2). One or more ballast members (4) are movably connected to a respective one of said one or more towing members (3) and controllably movable at least a distance along its respective towing member. The towed object (1) may be controlled by moving one or more ballast members (4) on a towing member (3) in order to control the catenary (c) of a towing member (3). Individual ballast members (4) may be manipulated individually in order to correct, preserve or otherwise change the geometry of a trawl.

The invention discloses an intelligent fish and rice symbiosis ecological control system and method based on the Internet of Things. The system comprises a fish breeding area, a rice irrigation area and a circulating water channel arranged between the fish breeding area and the rice irrigation area. The central control platform is used for collecting a dissolved oxygen (DO) value and a pH value in a water body in real time through a plurality of water quality sensors configured in the system; the dissolved oxygen DO value and the pH value are water quality data; and analyzing the dissolved oxygen DO value, generating a water quality regulation and control instruction, and regulating the oxygenation equipment according to the water quality regulation and control instruction. The automatic buffering agent adding device is used for automatically adding a buffering agent according to an instruction sent by the central control platform; the oxygenation equipment comprises an aeration device and is used for adjusting the content of dissolved oxygen in the water body. According to the intelligent fish and rice symbiosis ecological control system based on the Internet of Things, the fish culture area, the rice irrigation area and the circulating water channel are integrated, effective management and control of the fish and rice symbiosis ecological system are achieved, the water body environment is optimized, and the symbiosis benefits of fishes and rice are improved.

The invention discloses a key point detection-based fish size estimation system and method in a complex underwater environment. An image acquisition module acquires a calibration plate image and left and right images of a fish; the calibration parameter acquisition module acquires calibration parameters; the distortion correction module performs distortion correction on the left and right images; a depth information calculation module calculates depth information corresponding to the pixel points of the left image; the data set construction module is used for marking a fish body and constructing a fish key point detection data set; the image enhancement module performs image enhancement on the left image; the key point detection model construction module constructs a key point detection model, the model training module trains the key point detection model and identifies a fish target and key points in an image, the key point moving module moves the key points, and the fish size calculation module obtains depth information of the moved key points. And converting the pixel coordinates into world coordinates, and calculating the distance between the key points to obtain the fish size. According to the invention, accurate estimation of the fish size is realized.

A vegetable anti-floating submerged fermentation tank comprises a tank body, and a sealing cover is arranged at the upper end of the tank body. The lower end of the tank body is communicated with a connecting pipe, the other end of the connecting pipe is connected with a lower three-way valve, one port of the lower three-way valve is connected with a drainage pipe, the other port of the lower three-way valve is connected with a circulating water inlet pipe, the other end of the circulating connecting pipe is connected with a circulating pump, and the circulating pump is connected with a circulating water outlet pipe; the other end of the circulating water outlet pipe is connected with an upper three-way valve, one port of the upper three-way valve is connected with a water inlet pipe, the other port of the upper three-way valve is connected with a water inlet main pipe, the other end of the water inlet main pipe is connected to the upper end of the tank body, and a plurality of floating plates are arranged in the tank body in the vertical direction; according to the invention, the fermentation environment of large-batch vegetable fermentation is improved, and during fermentation, adverse effects of external impurities, infectious microbes, oxygen and the like on fermentation can be avoided.

A bird feeder includes a feeding component and a first camera, where the feeding component is provided with a feeding zone. The first camera is provided at or beyond an edge of the feeding component and shoots from or beyond the edge of the feeding component towards the feeding zone, and captures first image data. The bird feeder designed in the present application attracts birds to perch and feed via the feeding component, while the first camera positioned at the edge or outside the feeding component captures images or videos of the bird feeding activities to address the difficulty in bird observation and shooting, which enables the recording of detailed feeding activities without disturbing the birds which are feeding, thereby providing more stable and comprehensive documentation of bird feeding activities. This facilitates observers' examination of bird feeding processes, demonstrating significant potential for widespread adoption and practical application value.

The invention discloses a control method of a vehicle-mounted mosquito repelling device, the vehicle-mounted mosquito repelling device and a storage medium, relates to the field of vehicle-mounted technologies, and discloses the control method of the vehicle-mounted mosquito repelling device, the control method is applied to the vehicle-mounted mosquito repelling device, and the vehicle-mounted mosquito repelling device comprises an image acquisition device and a sound wave mosquito repelling device. The method comprises the following steps: determining a mosquito identification result based on an image in a cabin acquired by an image acquisition device; determining an action recognition result according to the image in the cabin; determining a mosquito repelling mode according to the mosquito recognition result and the action recognition result; and controlling the sound wave mosquito repelling device to operate according to the operation parameters corresponding to the mosquito repelling mode. On the basis, the mosquito information can be automatically detected, the mosquito repelling device is automatically started after the mosquito information is detected, and the mosquito repelling effect is improved.

A fishing rod holder apparatus for securing a fishing rod to a vehicle includes a bracket and a rod receiver. The bracket is shaped to position a handle of the fishing rod above and laterally offset from a hood of the vehicle. The rod receiver is shaped and oriented to hold the handle and orient the fishing rod to extend upwardly and rearwardly from the rod receiver with respect to the vehicle. The bracket is adapted to receive existing fasteners of the vehicle.

The present invention discloses an intelligent mobile artificial fish nest experimental platform for fish with sticky and sinking eggs, including an artificial fish nest bed and an intelligent mobile base, wherein the artificial fish nest bed is a field-shaped structure, buoyancy cylinders are loaded on four sides, an experimental observation camera is arranged in the middle, a group of Mecanum wheels are respectively installed at four corners of the intelligent mobile base, and an omnidirectional mobile motor, a stable support motor, an intelligent control console, a magnetic plate, an underwater camera system and a telescopic hinge are loaded on the intelligent mobile base. The present invention makes up for the lack of protection measures for fish with sticky and sinking eggs at present, provides a suitable spawning place for fish with sticky and sinking eggs, weakens the influence of underwater terrain changes caused by changes in river and lake water levels and dam flood discharge on the growth and development of sticky and sinking fish eggs, optimizes the protective effect of artificial fish nests on sticky and sinking fish eggs, and provides more technical basis for the protection of spawning grounds of fish with sticky and sinking eggs.

The invention discloses a power transmission line corona discharge risk assessment method based on bird nest polarization characteristics, and relates to the field of power transmission line safe operation. The method specifically comprises the following steps: establishing a bird nest polarization characteristic mathematical model, considering bird nest material and shape characteristics, and calculating an electric field enhancement coefficient; introducing critical polarization intensity as a criterion of corona discharge; establishing a kinetic equation of polarization intensity changing along with time, and revealing dynamic characteristics of the polarization process; and defining a corona discharge probability function to realize quantitative evaluation of the discharge probability. According to the method, a complete physical model from bird nest polarization to corona discharge is established, key links such as electric field enhancement, polarization dynamics, critical polarization intensity and discharge probability are covered, a systematic theoretical framework is provided for corona discharge caused by bird nests, and the method has remarkable practical value for guiding design, operation and maintenance of power transmission lines and is worthy of popularization and application. And an important contribution is made for ensuring safe and stable operation of a power system.