14 results about "Water bird" patented technology

The utility model relates to water bird weighing technical field especially relates to a kind of shorebird water bird weighing device.The shorebird water bird weighing device includes: weighing sensing device, U-shaped pipe, baffle, limiting component, assembly component, the front side of weighing sensing device is equipped with display screen, the top of weighing sensing device is equipped with pressure scale, the top of pressure scale is fixedly connected with bearing block symmetrically, the top of bearing block is symmetrically provided with jack, U-shaped pipe is placed in the top of jack, the bottom of U-shaped pipe is fixedly connected with two insertion rods, the side of two insertion rods is provided with engagement slot, the inner wall of U-shaped pipe middle end is fixedly connected with baffle, the left and right two sides inner wall of U-shaped pipe is hinged with hatch, the outside of U-shaped pipe is provided with multiple through holes.The utility model makes water bird more easily calm in familiar touch feeling environment, reduces struggle and ramming, avoids subsequent measurement interference due to odor residue, improves adaptability and weighing efficiency, guarantees water bird safety and operation efficient.

The application discloses a wetland water bird automatic identification and statistics method and system based on unmanned aerial vehicle aerial image, and belongs to the software technical field.The application aims to solve the problems that the existing technology has missed detection, false detection and uncertainty in the unmanned aerial vehicle aerial water bird identification result, and that the population size and spatial distribution statistical result is inaccurate;for this purpose, the application provides a method, which comprises: grid division and multi-frame observation effort tensor construction;water bird detection and trajectory aggregation based on multi-frame images; detection probability modeling based on observation effort, scene features and artificial checking; grid real number hierarchical inference based on the detection model; real intensity field inference fused with spatial adjacency and ecological factors; and time sequence state space updating under multi-period monitoring.Thus, the statistical inference of the real number and spatial distribution of water birds is realized, and the method has the advantages of high statistical reliability and accurate uncertainty quantification.

The invention discloses an unmanned aerial vehicle aerial image-based wetland waterfowl automatic identification and statistics method and system, and belongs to the technical field of software. The objective of the invention is to solve the problem of inaccurate population scale and spatial distribution statistical results caused by missed detection, false detection and uncertainty of an unmanned aerial vehicle aerial photographing waterfowl recognition result in the prior art. Therefore, the invention provides a method which comprises the following steps of: dividing a grid and constructing a multi-frame observation effort tensor; performing waterfowl detection and trajectory aggregation based on multi-frame images; modeling based on the observation effort, the scene features and the detection probability of manual checking; performing layered inference on the real number of grids based on the detection model; fusing real intensity field inference of spatial adjacency and ecological factors; and updating the time sequence state space under multi-period monitoring. Therefore, statistical inference of the real number and spatial distribution of the waterfowls is realized, and the method has the advantages of high statistical reliability and accurate uncertainty quantification.

The invention relates to the technical field of wildlife monitoring and ecological protection, and discloses an unmanned aerial vehicle flight parameter adaptive optimization waterfowl population investigation method, which comprises the following steps: firstly, constructing a multi-dimensional aerial image interpretation mark library, carrying out a flight parameter and waterfowl disturbance response correlation test, establishing a quantitative behavior response spectrum, and then, carrying out unmanned aerial vehicle flight parameter adaptive optimization on the quantitative behavior response spectrum. According to the method, a frightened flight distance probability model is constructed according to a response spectrum, a minimum safety monitoring distance threshold value is calculated, an optimal monitoring flight parameter combination is determined in combination with statistical accuracy and environmental factors, and then an aerial photography task is executed to obtain population data. A dominant limiting factor is identified to generate a repair countermeasure, and a dynamic protection partition is delimited. According to the method, the contradiction between the image resolution and the safety of wild animals in unmanned aerial vehicle monitoring is effectively solved, and accurate decision-making of waterfowl protection and habitat restoration is realized.

The present application relates to the analysis method of the population dynamics of wetland water birds and habitat quality. The method analyzes the population dynamics of birds based on the historical cumulative data of the target wetland and the bird data obtained by field investigation, and analyzes the habitat quality of key ecological environment indicator bird species based on the land use data of the location of the target wetland and the main ecological threat factors, so as to provide a scientific basis for the habitat protection and management of wetland birds.

The invention provides a method for efficiently treating peculiar smell substances in a water body of an aquatic bird inhabiting water area in a wild animal park, and belongs to the technical field of water treatment deodorization. The method comprises stock processing and shift processing. Wherein the stock treatment method comprises the following steps: in bird pond treatment, a wave cracking nano mesoporous material is spread to improve a bottom mud habitat, meanwhile, a wooden tray is used as a basis, a bagged adsorption material is bound, and a nano biological reaction field is constructed. The displacement treatment method comprises the following steps: constructing an ecological diversion canal near a water area for inhabiting aquatic birds, constructing an artificial wetland by taking a wave splitting nano mesoporous material as a matrix in the ecological diversion canal and assisting with emergent aquatic plants, degrading peculiar smell substances and improving water quality, and then returning to the main bird pool. The method disclosed by the invention has the capabilities of keeping stable and long-acting peculiar smell removal and improving water quality.

The invention belongs to the technical field of habitat monitoring, and discloses a deep ecological niche model habitat monitoring system based on multi-source remote sensing data, which is suitable for habitat suitability dynamic monitoring and future distribution prediction of extremely dangerous waterfowls such as green-head diving ducks. According to the system, multi-source remote sensing images, unmanned aerial vehicle hyperspectral and laser radar data and ground ecological monitoring and Internet of Things sensing information are integrated, ecological factor three-dimensional tensors are constructed, and deep ecological niche modeling is carried out in combination with Transform-based space-time coding and a maximum entropy nested model. An ecological factor fusion response function and an SHAP value interpretation mechanism are introduced into the system, dynamic weighting and interpretable analysis of key environment variables are achieved, and simulation prediction of potential habitats in 2030 under the RCP climate scene is supported. The system has the functions of multi-factor fusion, space-time modeling, interpretable reasoning and feedback optimization, and is widely applied to the scenes of endangered species protection, ecological red line evaluation, intelligent wetland supervision and the like.

The utility model discloses waterfowl shell compression molding equipment, and particularly relates to the technical field of waterfowl shell molding equipment.The waterfowl shell compression molding equipment comprises a main frame, a compression assembly, a mold assembly and a controller, the main frame comprises a top frame, a bottom frame and two side plates, and two first positioning clamping plates are installed on the bottom face of the top frame in a sliding mode; two second positioning clamping plates are installed on the top face of the bottom frame in a sliding mode, the pressing assembly comprises two arc-shaped pressing plates, a plurality of air cylinders are evenly arranged on the two side plates correspondingly, and the telescopic ends of the air cylinders are fixedly connected with the two arc-shaped pressing plates correspondingly; a plurality of electric heating bars and a temperature detector are arranged in each arc-shaped pressing plate in a penetrating mode, the opposite surfaces of the two arc-shaped pressing plates are matched with the outer wall of the mold assembly, and an injection port and an exhaust port are formed in the top of the mold assembly. According to the utility model, the die is vertically placed, so that the good exhaust effect can be ensured, the product quality is improved, and the density of the pressed waterfowl shell is relatively uniform.

The application relates to an automatic water bird biodiversity monitoring and collecting device; the device comprises an adaptive adjusting frame, a bionic attraction system and a perception layer device group, the adaptive adjusting frame is installed in a diving area and can be adaptively adjusted according to air volume and air direction; the bionic attraction system is installed on the adaptive adjusting frame, is internally integrated with acoustics, optics and pheromone induction, can induce water birds to approach and collect required information after the water birds approach according to actual conditions; the perception layer device group is installed on the adaptive adjusting frame, is used for monitoring water birds, collecting images and sounds of the water birds and monitoring water areas where the water birds are located and collecting water area information that influences the water birds. The adaptive adjusting frame is used for realizing environmental adaptability adjustment, multi-modal perception and edge computing technology are combined, the problems of low data collection precision and difficult multi-source information integration of a traditional monitoring method in a complex environment are effectively solved, and the monitoring precision can be improved, environmental adaptability is enhanced and multi-source data integration is realized.

This invention discloses a method for surveying the concentrated distribution of waterbirds around nuclear power plants using unmanned aerial vehicles (UAVs). The method involves: surveying the area to determine the UAV launch point, flight safety constraints, and shooting time; acquiring the boundary of the survey area and rasterizing it; planning a zigzag reciprocating flight path and determining the heading step size and triggering strategy; the UAV performing flight photography according to the stated path, acquiring image data using both panoramic and telephoto focal lengths based on the same waypoint sequence; preprocessing the image data and registering the panoramic and telephoto images, mapping the telephoto image to the panoramic coordinate system; using a target detection network to detect waterbird targets in the registered images and filtering out candidate targets according to a confidence threshold; classifying the remaining targets using a classification network; extracting a predetermined proportion of grids from all grids for verification; calculating error coefficients and correcting machine counts; and outputting the quantity and spatial distribution results of each species.

The invention discloses a navigation water level determination method and system based on ship noise interference assessment, and the method comprises the steps: S10, carrying out the ship noise simulation test of different types of wetland waterfowls in a navigation lake overwintering waterfowl gathering region, obtaining behavior observation data of various types of wetland waterfowls under the scenes of not playing the ship noise audio and playing the ship noise audio; s20: respectively determining interference distance threshold values of ship noise to various types of wetland waterfowls; S30: respectively determining interference degree values of various types of wetland waterfowls at various selected water levels; and S40: carrying out weighted summation on the interference degree values of various types of wetland waterfowls at the same selected water level, and taking the selected water level corresponding to the minimum weighted summation value as a navigation design water level. According to the method, the interference degree of ship noise on waterfowl behaviors at different water levels is quantized, the navigation design water level is determined in combination with the quantized value of the interference degree, and the current protection requirement for waterfowl diversity can be met.

The invention relates to a pin type waterfowl with an adjustable watering area, which is provided with a plurality of ground pins capable of being inserted into the ground, and the cross section of each pin is in a polygonal star shape, so that the problem that the original single pin is easy to slip and rotate can be solved; an inner contact pin is arranged and is adjustable in a cantilever beam manner; the cross section is D-shaped and is provided with a water seepage return valve gap; an injection valve core is arranged, so that strong and weak pulsation is generated; the corner of the water channel is provided with a chamfer and is a section of a logarithmic spiral; a logarithmic spiral water baffle is arranged; a stainless steel toggle spring with an improved cross section shape; rotary flying wings are arranged; a timing device; each shoe foot is provided with at least two contact pins, and the section of each contact pin is in a hollow cone shape or is provided with a notch and a cutting edge; and a noise reduction effect is achieved, and more aerial fog is generated due to vibration, sloshing and water fetching.

The invention provides a bird breeding habitat water level threshold determination method, device and equipment and a storage medium, and belongs to the technical field of ecological remote sensing, lake wetland monitoring and waterfowl habitat management.The method comprises the steps that a multi-source remote sensing image is obtained in a breeding season time window, and cloud / shadow elimination and synthesis processing are carried out; carrying out water body identification on the image, counting the water body appearance proportion in a time window, and constructing a breeding season stable water body mask; negation is carried out on the stable water body in the lake region range to obtain a non-water body region, connected domain analysis is carried out, and candidate plaques are extracted; shoreside-connected plaques connected with a lake shoreline or touching a lake area boundary are removed, independent plaques completely surrounded by a stable water body are reserved to serve as a lake center island, and the stability of a result is improved through morphological post-processing and minimum drawing unit control; and integrating bird breeding monitoring information to construct a comprehensive suitability target function, and determining a breeding habitat suitable water level or lake surface area threshold interval.

The invention discloses a waterfowl type identification method and system based on the dynamic adaptation distance of a zoom dome camera, and relates to the technical field of waterfowl monitoring. The method comprises the following steps: configuring zoom dome camera hardware and monitoring control parameters according to waterfowl monitoring scene requirements and target waterfowl body characteristics, calculating an effective monitoring range and dividing monitoring layers; dynamically adjusting the horizontal rotation angle, the vertical pitching angle and the focal length of a lens of a ball machine holder, and performing layer-by-layer full-coverage shooting from the far end to the near end according to a monitoring layer to ensure that the waterfowl pixel proportion meets the identification requirement and overlapped pixels are reserved in adjacent photos; pre-processing the captured photo, inputting a waterfowl identification model to identify and screen a high-confidence result, and counting types and quantity based on a de-duplication rule; and evaluating the precision of the model and carrying out iterative optimization by supplementing samples to adapt to new species identification. The system comprises a zoom ball machine and a control, data processing and storage interaction unit, long-period, all-weather and automatic monitoring of the waterfowl is realized, and the problems of low automation, data lag and the like of traditional monitoring are solved.