51 results about "Flock" patented technology

The invention relates to the technical field of intelligent agriculture and computer vision, in particular to a small-sample high-density chicken counting framework based on a deep learning Mamba structure, which comprises a feature extraction network, a support-query enhancement module and a decoder. According to the method, a multi-scale feature extraction network based on a residual block (ResNet Block) is introduced, so that local detail information is effectively reserved; and then, a support-query enhancement module is constructed by introducing a Mamba structure, and context interaction between support features and query features is effectively enhanced by utilizing the long sequence modeling capability of linear complexity of the support-query enhancement module, so that the problems of individual overlapping and boundary fuzziness in a high-density chicken flock scene are solved. Experimental results on a PoultryCount real breeding data set show that the mean absolute error (MAE) and the root-mean-square error (RMSE) of the method are reduced compared with those of an existing method, and the chicken counting precision and generalization ability under the condition of a small number of labeled samples are remarkably improved.

The invention provides a heat stress activation state threshold regulation and control method and system based on poultry group behavior feedback, and relates to the technical field of intelligent management and control of livestock and poultry breeding environment, and the method comprises the steps: recognizing the number of poultry heads in a heat wheezing state and the total number of the poultry heads based on poultry head images, and obtaining the real-time heat wheezing proportion of poultry groups; based on a distributed environment real-time acquisition network, obtaining an in-cage environment temperature and humidity index; aiming at each region, integrating data pairs synchronized by a time window, fitting a piecewise linear regression relationship of the real-time heat wheezing proportion of the poultry group along with the change of the temperature and humidity index of the environment in the cage, dynamically generating a heat stress grading threshold value of the region based on a characteristic turning point, generating a house-level regulation and control instruction and a region-level regulation and control instruction, and carrying out region-level regulation and control on the region-level regulation and control instruction. The local environment of the corresponding area is adjusted and alarmed, and a heat stress activation state threshold regulation and control result is obtained. The problems that poultry group heat stress is difficult to accurately and dynamically assess and poultry house environment is difficult to finely and hierarchically control in different production scenes are solved.

The invention relates to the technical field of ecological monitoring and computer vision, and particularly discloses a large-scale bird flock automatic labeling synthetic data generation method and system. The technical problem to be solved is to overcome the defects that in the prior art, the acquisition cost of large-scale bird flock counting task annotation data is high, the quality is difficult to guarantee, and the authenticity and scale of synthetic data are limited. According to the technical scheme, the method comprises the following steps: based on acquired real small-scale bird flock three-dimensional trajectory data, performing group scale expansion by using a collective motion model such as an inertial spin model, and generating a large-scale bird flock three-dimensional motion trajectory; a pre-established three-dimensional bird model and a flight animation are endowed with the motion trail, rendering is performed in a virtual rendering engine, and an initial synthetic image and a corresponding pixel-level precise labeling mask including a binary mask of the whole bird flock and an instance segmentation mask of each individual are generated; and performing visual reality enhancement processing on the initial synthetic image, migrating the real bird texture to the synthetic bird through style migration, and fusing the mask and the real background image to generate a final synthetic image with high reality, and strictly maintaining the integrity of the annotated mask at the same time. The method is mainly used for automatically generating precisely labeled and highly realistic large-scale bird flock images, provides efficient data support for bird flock automatic counting model training, and can be applied to ecological monitoring and protection.

This invention relates to the field of migratory bird distribution detection technology, specifically disclosing a method for detecting migratory bird distribution in wetland protected areas based on image sensors, including the following steps: Step S1: Divide the protected area into several sub-regions, set up image acquisition points in each sub-region, acquire migratory bird images in real time, identify the instantaneous number of migratory birds in the images, and simultaneously record the acquisition timestamp and acquisition coordinates; Step S2: Construct a spatiotemporal counting matrix based on the number of migratory birds at different times at each acquisition point, with acquisition coordinates as rows and time as columns, and obtain several basic spatiotemporal patterns and the corresponding linear weights of each pattern through matrix decomposition; Step S3: Based on the change of the linear weights of each basic spatiotemporal pattern over time, identify the migration events of migratory bird flocks between sub-regions, combine the migration events with the spatial distribution preference vectors of each pattern, determine the migratory bird flock gathering areas and migration channels, and generate the final distribution detection results.

This invention discloses a method and system for analyzing the health status behavior of poultry flocks from images, relating to the fields of computer vision and smart farming technology. The method includes: firstly, acquiring monitoring images and extracting the poultry's location coordinates; secondly, dividing the poultry into an active first target set and an inactive second target set based on displacement features; thirdly, constructing a discrete topological network using the first target set to generate candidate spatial gap regions and identifying edge targets; fourthly, generating a biological rejection intensity index based on the head orientation vector of the edge targets, and determining stable rejection regions based on temporal stability; and fifthly, outputting a health anomaly warning when the center of the stable rejection region and the coordinates of the second target set satisfy spatial matching conditions. This invention effectively solves the problem of distinguishing between physiological quiescence and pathological stagnation in high-density farming by analyzing the group's biological rejection behavior to pinpoint abnormal individuals, thus improving monitoring accuracy.

The application discloses an intelligent inspection management system and method for large-scale chicken breeding, and relates to the technical field of breeding management. In the process of artificial one-by-one inspection of chicken flocks, the inspection results of each type are recorded, and the high-spectrum image of the tail feather of the chicken and the call recording of the chicken are synchronously collected; the high-spectrum image features of the tail feather of the chicken and the audio features of the call recording of the chicken under the inspection results of each type are classified and extracted; the correlation calculation is performed, and the high-spectrum image feature range of the tail feather and the audio feature range of the call recording corresponding to the inspection results of each type are classified; the high-spectrum image of the tail feather and the call recording of the chicken in the breeding farm are batch-collected and the features are extracted, the high-spectrum image feature range of the tail feather and the audio feature range of the call recording corresponding to the inspection results of each type are compared, and the inspection results of the chicken are batch-obtained. The application realizes batch intelligent detection management of the chicken for large-scale breeding.

The invention discloses electric driving type fluff extraction equipment, which belongs to the technical field of wormwood processing, and comprises a machine body assembly, a fluff extraction device, a fluff extraction device and a control device, the electric driving assembly is assembled on the machine body assembly and provides electric driving force; the electric driving assembly comprises a rotary driving assembly, a power driving assembly and a lifting assembly, the rotary driving assembly and the power driving assembly are assembled on the machine body assembly, and the power driving assembly is partially assembled on the rotary driving assembly and drives the rotary driving assembly to rotate; the lifting assembly is driven to lift back and forth; the down lifting assembly is assembled on the machine body assembly, and the lifting assembly is assembled on the down lifting assembly and drives the down lifting assembly to lift down in a reciprocating mode; compared with the prior art, the flock extraction speed of the flock extraction head is uniform, and the flock extraction quality of folium artemisiae argyi can be improved.

This invention discloses a method, apparatus, equipment, and storage medium for the synergistic blocking of harmful substances in chicken houses. The method includes collecting environmental parameters, physiological states of the flock, and pathogen information from the chicken house; sending the collected information to an intelligent decision-making system; and when parameters exceed thresholds or pathogenic agents are detected, the intelligent decision-making system generates a synergistic control strategy and triggers a coordinated response: a light disinfection system activates a specific wavelength light source to form an effective disinfection area; a ventilation system guides airflow into the effective disinfection area; a drinking water disinfection system adds effective disinfectants and immune enhancers to the drinking water; and the intelligent decision-making system dynamically adjusts the parameters. In this embodiment, the light disinfection system, ventilation system, and drinking water disinfection system not only achieve the effect of a single disinfection method, but also work together to significantly reduce the risk of highly contagious diseases in the flock, ensuring the normal growth of the chickens and avoiding economic losses caused by diseases.

The application discloses a laser radar airport bird group detection and early warning method and system based on a DGNN, relates to the technical field of airport operation safety monitoring, and comprises the following steps: collecting continuous three-dimensional point cloud data of an airport runway, a taxiway and adjacent airspace by using a laser radar device and performing preprocessing to form a continuous multi-frame structured point cloud sequence; taking points or point cloud clusters in the sequence that meet preset space and intensity conditions as graph nodes, establishing a connection edge between the nodes according to a spatial proximity relationship between the nodes, a time continuity relationship and operation similarity, and forming a dynamic graph structure that evolves over time; jointly analyzing the features of the graph nodes and the mutual relationship thereof by using a DGNN, and identifying bird targets in the nodes; aggregating the identified bird targets to construct a bird group cluster set, combining a bird strike risk assessment model, calculating a potential risk value of the bird group cluster to the operation of the airport, and performing graded early warning according to the risk value, so that integrated bird group detection, behavior analysis and risk early warning are realized.

The invention provides an illumination system arranged to illuminate a space for rearing a flock of birds, wherein the illumination system comprises: a visible light source configured to emit visible light; an ultraviolet light source configured to emit ultraviolet light; a controller configured to: (i) entrain a circadian rhythm of the flock of birds by controlling the visible light source to emit the visible light for a predetermined period of light, and not to emit the visible light for a predetermined period of dark; (ii) control the ultraviolet light source to emit the ultraviolet light at an ultraviolet light intensity for at least one subperiod within the predetermined period of dark, wherein the ultraviolet light comprises a peak wavelength within the UV-A wavelength range.

The invention discloses a feed delivery line self-adaptive accurate feeding method, and belongs to the technical field of feeding, and the method comprises the steps: collecting chickens and chicken flocks to obtain multi-modal data and chicken behavior data; constructing a social network graph of the chicken flocks according to the chicken behavior data to obtain individual indexes of each chicken, obtaining fusion data based on the multi-modal data, the chicken behavior data and the individual indexes, inputting the fusion data into a multi-modal time sequence prediction model to obtain growth trend prediction data of each chicken, and predicting the growth trend of each chicken according to the growth trend prediction data. A composite feeding strategy is obtained based on the growth trend prediction data and the feed consumption, and the feed conveying line unit is regulated and controlled to conduct feeding according to the composite feeding strategy. According to the method, the dynamic nutritional requirements of chicken flocks in different growth stages, different environment temperatures and different health states can be met, the individual difference between different chickens is met by predicting the growth of each chicken, the laying rate of the chickens is increased, and the feeding amount of feed can be adaptively adjusted according to a composite feeding strategy.

The present application belongs to the technical field of runway airspace bird situation monitoring, and particularly relates to an ultrasonic array direction finding runway airspace bird situation monitoring and bird repelling triggering method, which comprises the following steps: arranging ultrasonic array direction finding units on both sides of the runway through joint calibration, collecting multiple array echoes to construct a data set with time stamps, obtaining the three-dimensional position of the bird flock based on the joint estimation of the time difference of arrival and the angle of arrival, and generating a bird flock trajectory sequence, projecting the trajectory into a three-dimensional airspace grid model with the runway centerline as the reference, calculating the grid risk index according to the closest distance of the bird flock to the runway centerline and the relative speed, selecting a high-risk grid to generate a bird repelling triggering control instruction set, driving the corresponding array to perform directional ultrasonic bird repelling, and correcting the bird flock trajectory and the triggering grid based on the updated echo data after bird repelling, thereby solving the problems of three-dimensional direction finding accuracy and bird repelling triggering area for long-distance and high-uncertainty bird flocks.

The environment detection unmanned ship comprises an unmanned ship body, a supporting frame is fixedly connected to the middle of the unmanned ship body, a positioning frame is fixedly connected to one end of the top of the supporting frame, a water quality detection assembly is assembled on the inner side of the positioning frame, and a wind speed sensor is fixedly connected to the middle of the top end of the supporting frame; the multiple positioning plates are fixedly connected to the two sides of the top of the supporting frame respectively, and the ends, away from the supporting frame, of the positioning plates are fixedly connected with bird repelling covers; the knocking assembly is assembled between the positioning plate and the bird repelling cover and used for being matched with the bird repelling cover to make a sound to repel bird flocks. Through the structural cooperation of the bird repelling cover and the knocking assembly, when the unmanned ship body is parked, airflow can be captured and sound can be made, so that birds at the unmanned ship body are repelled, and the situation that the detection precision of the sensor of the unmanned ship body is affected by the existence of the birds is avoided.

The utility model relates to a door body assembly which is used for opening or closing a putting opening of a clothes processing device and comprises a door plate, a clothes processing cavity, a door cover and a door body, the door shell faces the clothes processing cavity; the door plate and the door shell are in butt joint, and a door body cavity is formed between the door plate and the door shell. The flock collecting box is used for filtering and collecting flock, and the air inlet end of the flock collecting box is communicated with the clothes processing cavity; the flock removal fan assembly is arranged in the door body cavity and comprises a flock removal fan used for providing suction force, and the flock removal fan is communicated with the air outlet end of the flock collection box so as to form a flock removal air path sequentially passing through the flock collection box and the flock removal fan. The flock removal fan assembly is arranged in the door body cavity, so that the flock removal air path independent of the drying air path is formed in the inner space of the door body, the flock removal capacity is improved under the condition that the clothes drying efficiency is not affected, and the flock manual cleaning frequency is reduced.

The present application relates to the technical field of image data processing and object positioning and identification, in particular to a method for identifying and analyzing the geographic position of bird flocks by high-definition cameras, comprising: deploying multiple high-definition cameras, collecting video streams in real time and synchronously recording the spatial position parameters and attitude parameters of each camera itself; using an improved YOLOv8 model to detect bird targets in the video; the improvement includes introducing P2 layer feature maps from Backbone and adding corresponding P2 detection heads in the detection head, while removing the P5 detection head. By improving the YOLOv8 model, the present application introduces the P2 detection head to enhance the small target recognition capability, and fuses the observation angles of multiple cameras, uses spatial geometric solution and dynamic clustering technology, and finally outputs the accurate three-dimensional coordinates of the bird flock in the real world. While significantly improving the positioning accuracy and recognition rate, the present application has the advantages of strong system robustness, low deployment cost and easy expansion.

The invention provides a vertical axis wind power generation device with a dynamic visual bird repelling function, which comprises a tower, a generator and at least three blades, the surface of each blade is provided with a composite spectrum coating, the outer contour of the composite spectrum coating is a wavy or zigzag nonlinear continuous curve, the composite spectrum coating is matched with the nonlinear continuous curve in contour, and the generator is arranged on the tower. When the blade rotates, the reflection direction of the incident light by the surface of the blade is subjected to nonlinear periodic change, so that a dynamic visual bird repelling signal is generated. The related system is provided with a plurality of devices, and the devices are planned and arranged according to the field wind direction and the bird activity path to jointly form a distributed dynamic visual bird repelling network. Compared with a traditional blade, the initial repelling rate of the testing device on the tested bird flock is increased by 40% or above, the habitual period of the birds is prolonged by three times, the purchasing and operation and maintenance cost of traditional bird repelling equipment is saved, and economic benefits and environmental benefits are achieved.

The invention relates to the technical field of flocking processes, in particular to waste flock collecting equipment for a flocking process, which comprises a machine base, a sucking pump fixedly mounted on the machine base, a fixing frame for fixing the machine base on a flocking device, a dust suction pipe communicated with an air inlet end of the sucking pump, and a collecting mechanism for separating flock from dust, the collecting mechanism comprises a collecting pipe, a material taking groove formed in the side face of the collecting pipe, a sealing plate for sealing the material taking groove and a fixing piece for fixing the sealing plate. The collecting pipe is arranged on the flocking box, the rubber ring is arranged at one end of the collecting pipe, the collecting pipe is fixed on the flocking box through the connecting block, the collecting pipe is communicated with the dust collecting pipe through the dust collecting hopper, and the collecting piece is arranged on the collecting pipe. According to the device, after airflow mixed with fluff and dust is mixed and enters the collecting pipe, the spiral blade blocks and buffers the airflow, so that the speed of the airflow mixed with the fluff and the dust is reduced after the airflow mixed with the fluff and the dust enters the screen drum, then enough time is provided for the screen drum to separate the fluff and the dust, and the separation effect is improved.

The invention discloses a multi-camera breeding chicken tracking method and system based on image recognition, and relates to the technical field of target detection, and the method comprises the steps: obtaining target breeding chicken image data collected by a current camera and candidate breeding chicken image data collected by an adjacent camera; according to the target breeding hen image data, selecting a breeding hen from the chicken flock as a target breeding hen; identifying target behavior data and a digital identity label according to the target breeding chicken image data; according to the candidate breeding hen image data and the target breeding hen, identifying the candidate breeding hen; acquiring historical behavior data of the candidate breeding hens from a behavior database; calculating an identity matching score according to the historical behavior data and the target behavior data of the candidate breeding hens; and marking the candidate breeding hens according to the digital identities to generate a breeding hen tracking result. According to the invention, identity matching can be carried out through behavior data of breeding hens at different camera viewing angles, so that breeding hen tracking is realized, and accuracy is improved.

The application discloses a lion-headed goose monitoring method, device and equipment and a storage medium, wherein multi-dimensional data of a breeding farm, including pictures, videos, sounds, body temperatures and the like of lion-headed geese, are acquired, the multi-dimensional data are preprocessed, and then are sent into a target detection model, a tracking algorithm and an abnormality judgment logic for calculation, lion-headed geese with a high probability of disease or abnormal lion-headed geese are detected, and then the above early warning data and information are pushed to users in time through a client, so that accurate identification of individual lion-headed geese in a large number of scenes is realized, and identification based on multi-dimensional factors of monitoring videos is realized, automatic monitoring and identification are realized, and the situation that a large-scale disease infection is caused due to the fact that an abnormality cannot be found in time in a lion-headed goose flock is avoided.

This invention relates to the field of veterinary medicine technology and provides a traditional Chinese medicine composition for treating coccidiosis in chickens, along with its preparation method. The composition is prepared from a combination of raw materials including *Gnaphalium affine*, *Hedyotis diffusa*, *Dendrobium nobile*, *Hemiberlesia argyi*, and *Thalictrum sylvestris*. This pure traditional Chinese medicine preparation exhibits no drug resistance, no drug residues, no toxic side effects, and no palatability issues. It also possesses advantages such as significant efficacy, rational formulation, simple preparation, low cost, and environmental friendliness. The traditional Chinese medicine composition of this invention has the effects of stopping diarrhea and killing parasites, clearing heat and drying dampness, and tonifying the middle and replenishing qi. It has a significant effect against coccidiosis in chickens, effectively preventing abnormal feces, intestinal bleeding, and intestinal ulcers caused by coccidiosis, and rapidly restoring the production performance of chicken flocks, thus improving breeding profits.

The application relates to a bird flock animation video generation method and system. The method comprises the following steps: constructing a group motion simulation model, and generating three-dimensional space motion trajectory data of each individual in a virtual bird flock changing over time according to the group motion simulation model; constructing a preset state conversion model, and determining a current visual performance state based on the preset state conversion model; for each individual at each time point, generating a two-dimensional image according to the three-dimensional space motion trajectory data and the visual performance state; and combining two-dimensional image frames generated at multiple time points into a video animation. The application closely combines high-fidelity biomechanical group trajectory simulation, individual dynamic visual state simulation based on a Markov process, and a high-quality visual element library, so that a large-scale bird flock animation video with rich details and dynamic reality can be efficiently generated.

This invention relates to the field of poultry farming technology, and more particularly to a method for detecting abnormal feed intake in poultry and a feed additive for poultry farming. The method includes: acquiring continuous images of a target poultry flock within a monitoring period and preprocessing the continuous images; identifying the feeding behavior of individual target poultry based on the continuous images of the target poultry flock, and then constructing the basic behavioral characteristics of the target individuals; extracting the physiological state characteristics of the target individuals based on the continuous images of the target poultry flock; acquiring environmental parameters in real time and constructing an environmental anomaly index based on the environmental parameters, and then establishing a feeding anomaly judgment model for the target individuals by combining the basic behavioral characteristics and physiological state characteristics of the target individuals, and outputting the feeding judgment result; constructing a regional anomaly index for the target poultry flock based on the feeding status of the target individuals, and then issuing an anomaly alarm to the user. This invention effectively improves the efficiency and accuracy of detecting abnormal feed intake in poultry.

The application discloses a multi-scale bird flock target counting and positioning method based on double-branch fusion and dynamic mask. First, a three-step fusion process of "mask filtering-point set merging-fast deduplication" is constructed, which combines the detection frame center point with the regression bird point, both of which have the advantages of accurate detection and positioning of large-scale bird target recognition, and fully utilize the characteristics of strong small target detection and counting of the regression branch DC-Net. Then, the DualGenBlock double-path feature generation module and the ScaleFuser attention fusion module are proposed, which combine dynamic weight adjustment and hierarchical hollow convolution to improve the small target bird feature capture ability and the density map generation accuracy on the basis of lightweight. Finally, the mask generation logic of adaptive calculation of expansion ratio according to the detection frame area is proposed, which realizes accurate shielding of the detected area through the dynamic correlation of the detection frame area and the expansion ratio, and solves the problem of excessive shielding or insufficient shielding of the fixed size mask.

1. Name of the product in this design: Magazine (Magazine-type low-altitude bird deterrent). 2. Purpose of this design: a magazine for driving away flocks of birds in low-altitude (30-50 meters) areas such as airports or farms where bird damage needs to be prevented. 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 present application provides a kind of Tibetan chicken intensive breeding health monitoring early warning method and system, it is related to computer technology field, including: obtain the three-dimensional movement and spacing time series data of Tibetan chicken flock in breeding house, and original crowing audio time series data;According to three-dimensional movement and spacing time series data, motion pattern analysis is carried out, and vector field sequence is obtained;According to vector field sequence, stress level is inferred, and group implicit stress index is obtained;According to group implicit stress index and original crowing audio time series data, model construction is carried out, and crowing-stress correlation model is obtained;Real-time crowing audio data is acquired, and real-time crowing audio data is input into crowing-stress correlation model to carry out health state critical point prediction, and instability precursor signal is obtained;According to instability precursor signal, grading early warning is carried out, and health early warning grade is obtained.The present application realizes the health risk caused by group stress of Tibetan chicken in intensive breeding environment to be predicted and early warned.

The invention discloses an intelligent directional dispersion system for security and protection, and relates to the technical field of dispersion systems, a threat grade division module collects real-time data, identifies microscopic behavior characteristics of bird flock in an area, relative distance gradient of airport facilities and macroscopic environment parameters, reads a dispersion strategy curve, and obtains a threat grade classification module based on cross-parameter correlation analysis; the method comprises the following steps: evaluating the potential threat level of a current bird flock to airport operation in real time, analyzing the inhibition effect of the existing environmental condition on dispersing equipment, converting the threat level into a target preset working condition parameter disturbance control instruction sequence by a dispersing instruction generation module according to the threat level, and synchronously sending the target preset working condition parameter disturbance control instruction sequence to corresponding equipment, the trend system is high in intelligence and automation degree, the labor cost and the risk of human errors are reduced, and the overall performance and level of security management of the whole airport are improved.

The utility model discloses a feeding trough for raising chickens, which relates to the technical field of feeding troughs and comprises a feeding plate, a storage barrel is arranged at the top of the feeding plate, a rotary clamping mechanism is arranged on the outer wall of the storage barrel, a rainproof clamping structure is arranged at the top of the storage barrel, and a hanging mechanism is arranged at the top of the rainproof clamping structure. Through the arrangement of the rotary clamping mechanism, the storage cylinder can be prevented from shaking or falling off in the use process, through the arrangement of the rainproof clamping structure, rainproof protection is conveniently provided for feed, the rainproof effect is improved, through the arrangement of the hanging mechanism, the feeding trough can be conveniently hung at a proper position, the installation flexibility is improved, and the feeding trough is convenient to use. Therefore, different breeding environments can be adapted, and finally the problem that rainwater directly enters the feeding trough, is prone to mildewing and deterioration and is prone to being overturned by chicken flocks is solved.

The utility model provides clothes drying equipment which comprises a base, a roller, a front support and a filtering device, the roller and the front support are both arranged on the base, and the front support is arranged in front of the roller; an air outlet duct communicated with the roller is formed in the front support and comprises an air outlet duct lower section; a chip removal opening is formed in the bottom wall of the air outlet duct lower section; a chip collecting box is arranged on the base and is communicated with the lower section of the air outlet duct through a chip removal opening; the filter screen assembly is fixedly arranged in the lower section of the air outlet duct and can filter the drying airflow; the cleaning assembly is rotatably arranged in the lower section of the air outlet duct and can clean soft flocks on the filter screen assembly; the spraying head can spray water into the lower section of the air outlet duct, and the flow of the water sprayed by the spraying head can be adjusted according to different soft flock collecting stages, so that soft flock in the lower section of the air outlet duct is wetted and washed, and the soft flock enters the flock collecting box; the thoroughness of cleaning the flocks is improved, and the problems of unsmooth airflow, poor drying effect and the like caused by residual flocks are avoided, so that the uniformity and the efficiency of drying clothes are improved.

This invention belongs to the field of synthetic biology technology and relates to a poultry bio-compound microbial agent based on high-throughput screening in synthetic biology and its application. This invention constructs a microbial strain library from intestinal environment samples of high-yielding poultry flocks. Under simulated poultry intestinal conditions, high-throughput fermentation and sequencing are used to evaluate the metabolites, pathogenicity inhibition ability, and tolerance of a large number of strains and strain combinations in parallel, screening for functional strain combinations with synergistic effects. Then, the strain ratio and dosage are optimized through poultry animal experiments to produce a poultry bio-compound microbial agent for use in feed or drinking water. The compound microbial agent of this invention can significantly improve poultry growth performance and reduce mortality rates with reduced or no antibiotic use, making it suitable for large-scale green farming promotion.

This application discloses a precise bird strike prevention and control method and system based on aircraft flight location. The method collects real-time aircraft flight data and bird flock activity data, processes the data to extract features, and uses an LSTM model to predict the future trajectory of the bird flock and generate a position probability cloud map. Simultaneously, it dynamically constructs a three-dimensional safety channel centered on the aircraft based on different flight phases; then, it calculates the collision risk probability between the aircraft's future position and the bird flock probability cloud, compares it with a preset threshold to classify the risk level, and finally triggers graded bird deterrence measures based on the risk level. This application achieves precise protection "wherever the flight goes, protection follows," solving the problems of incomplete bird strike prevention and resource waste in existing technologies. It constructs a comprehensive, dynamic, and targeted bird strike prevention system, effectively improving the intelligence level and efficiency of airport bird strike prevention.