45 results about "Animal data" patented technology

The invention relates to the technical field of environment monitoring, solves the problem that a monitoring system and method cannot meet the requirements for accuracy and real-time performance of animal behavior research and climate environment research in a plateau area at the same time, and particularly discloses a monitoring system and method integrating environment monitoring and animal monitoring recognition. Comprising a sensing system, a data transmission system and a data processing system, the sensing system is used for collecting environment and animal data of a monitoring site, and the data processing system is used for receiving and processing the data and analyzing the change trend and the correlation influence degree of the environment data and the animal data; the monitoring method comprises the following steps: acquiring environment and animal data through the environment monitoring network and the animal behavior sensing network; data is transmitted to the data processing system in real time through the data transmission system; the data processing system analyzes the dynamic change trend of the environment data and the animal data; and generating early warning information and triggering a protection measure execution instruction. The method can be used for monitoring the plateau environment and animals, and is high in accuracy and high in real-time performance.

A system for intelligently selecting sensors and their associated operating parameters includes one or more source sensors that gather animal data from at least one targeted individual and a collecting computing device in electrical communication with the one or more source sensors. The collecting computing device is operable to utilize one or more Artificial Intelligence techniques to: (1) intelligently gather the animal data from the one or more source sensors; (2) create, modify, or access one or more commands; and (3) and intelligently transmit the one or more commands either directly or indirectly to the one or more source sensors to create or modify one or more sensor operating parameters.

A system for monitoring animal activity, the system comprising an animal tag having a tag identifier attached to an animal to generate animal data packets comprising timestamped location data having tag latitudinal and longitudinal coordinates and timestamped activity data relating to activity of the animal over a window of time and a processor configured to evaluate the animal data packets to determine an activity classification for the animal wearing the animal tag over the window of time. The processor is also configured to calculate a pasture performance value of the area based on the animal data packets received from the animal tag.

According to the implantable animal data detector and the detection method thereof provided by the invention, the main body and the sealing cover which are in threaded connection are adopted to seal an internal component of the shell and are implanted into an animal body, so that the internal component of the shell is effectively isolated from an external organism, and the safety of the animal body is ensured while the internal component is ensured to stably run for a long time; by integrating a temperature sensor, an acceleration sensor and a gyroscope sensor, the body temperature, activity data, lying posture and other data of the implanted animal can be rapidly and accurately collected in the animal body, the behavior and physiological state of the animal can be rapidly obtained through an external receiving device, and therefore early warning of animal diseases is achieved; early intervention treatment is realized, the normal production cycle of animals is prevented from being influenced by diseases, and the production benefit is improved; in addition, a strong magnet is arranged in the shell, so that the detector can be conveniently and safely taken out from the animal body through an external magnet when needed, and the injury to the animal and the operation risk are reduced.

The invention discloses an intelligent animal epidemic disease monitoring management and early warning workstation, which comprises a multi-modal data acquisition module, an epidemic disease risk assessment module, a dynamic early warning threshold generation and judgment module, a visual human-computer interaction interface and a block chain storage module, the multi-modal data acquisition module is used for acquiring animal data of each monitoring point in a preset monitoring area and environment data of animals; the epidemic disease risk assessment module is used for comprehensively analyzing the animal data and the data of the environment where the animals are located to obtain epidemic disease risk indexes of all monitoring points in the current monitoring area; the dynamic early warning threshold generation module is used for dynamically generating an early warning threshold and judging an epidemic disease risk index to obtain an epidemic disease risk level and an epidemic disease risk area; the visual human-computer interaction interface is used for displaying the epidemic disease risk condition in the monitoring area; and the block chain storage module is used for data storage. According to the invention, the accuracy and timeliness of early warning of epidemic diseases are improved.

The invention discloses a navigation method and system for an inspection robot in a breeding house, and relates to the technical field of intelligent agriculture. The method comprises the following steps: dividing the breeding house into a plurality of areas, and preliminarily planning an inspection path of the inspection robot in combination with a shortest path algorithm and a depth-first search algorithm; environment data and animal data are collected in real time through an internal sensor group and an intelligent ear tag, a health data group is obtained through preprocessing, an environment health state index and an animal health state index are calculated, a comprehensive health index is further obtained, and the comprehensive health index and a preset first comprehensive health threshold value and a preset second comprehensive health threshold value are evaluated. And when path planning is triggered by health assessment, a dynamic path optimization model is adopted to adjust an inspection path, and an area with relatively high health risk is preferentially covered until the health assessment of the inspection task area reaches a good state. According to the method, the breeding environment and animal health monitoring efficiency can be effectively improved, and health management and risk control in the breeding process are ensured.

A method for generating and distributing simulated animal data includes a step of receiving a set of real animal data at least partially obtained from one or more sensors that receive, store, or send information related to one or more targeted individuals. Simulated animal data is generated from at least a portion of real animal data or one or more derivatives thereof. Finally, the simulated animal data is provided to a computing device. Characteristically, one or more parameters or variables of the one or more targeted individuals can be modified.

An animal husbandry system including monitoring and analyzing means configured for repeatedly generating images and gathering animal data, the monitoring and analyzing means including a plurality of cameras and image processing means. The plurality of cameras is suitable for monitoring the area from above. Image processing means are suitable for matching animals in the field of view of multiple cameras by detecting animal silhouettes in images of different cameras, defining an animal bounding box around each animal silhouette, applying to each animal bounding box either a first projection onto an image stitching plane if the animal is standing, or a second projection if the animal is lying down, stitching the projected bounding boxes in the stitching plane and identifying identical animals in the stitched image.

The invention belongs to the technical field of experimental animals, and particularly relates to a machine learning transcriptome annotation-based large language model construction method, which comprises the following steps of: collecting culture data of a transcriptome annotation target disease sample; acquiring orthotopic transplantation animal data of the M transplanted orthotopic transplantation animals in the first transplanted time period; analyzing according to culture data of the transcriptome annotation target disease sample, orthotopic transplantation animal data of the M transplanted orthotopic transplantation animals and first transcriptome annotation target disease differentiation parameters, and respectively selecting complication immunosuppression transcriptome annotation target diseases from the M transplanted orthotopic transplantation animals, obtaining immune deep culture model data; and analyzing the cell activity of the to-be-transplanted animal by utilizing the deep model, and after the cell activity meets a first condition, selecting a transplantation position of the to-be-transplanted animal, so as to realize the construction of the orthotopic transplantation animal model of the transcriptome annotation target disease cell by utilizing a stereotactic technology.

A method for generating a certificate for an animal is provided. The method can include obtaining, from at least one sensor, an animal related input of the animal, and obtaining, from an animal database, animal data based on the animal related input. The method can also include analyzing by one or more processors, the obtained animal related input and animal data to determine an identity of the animal, and obtaining, by the one or more processors, additional animal data based on the identity of the animal. The method can also include automatically generating, with the one or more processors, a certificate that includes an indicator based on the additional animal data.

The present disclosure relates to a method for determining a skin lesion score for a companion animal using an evaluation module trained based on previously acquired metadata associated with the companion animal selected from a data set having at least animal data and skin area data, the method comprises at least the steps of: receiving metadata relating to a companion animal, including two or more items of animal data and two or more items of skin area data listed in a data set; encoding the metadata into a metadata vector; running the trained evaluation module on the metadata vector based on the analysis of the evaluation module on the metadata vector; generating a skin lesion score indicative of a skin condition of the companion animal; and assessing whether the companion animal has an atopic dermatitis condition based on a skin lesion score indicative of at least one skin condition of the companion animal.

The invention discloses a cross-species animal posture estimation method based on an animal behavior monitoring technology, and belongs to the technical field of artificial intelligence and computer vision. In order to solve the problems that in the prior art, cross-species attitude estimation is poor in complex scene robustness, low in system integration level, insufficient in adaptability and real-time performance and the like, the invention provides a cross-species animal attitude estimation method based on an animal behavior monitoring technology, and the method comprises the following steps: collecting image data of a multi-species target animal; preprocessing the image data to obtain a processed animal image; performing cross-species key point configuration and labeling on the image data set to obtain a cross-species animal data set; and performing multi-level feature extraction and fusion on the cross-species animal data set, and realizing a posture estimation result of the target animal based on the fused features. The method is suitable for the fields of wild animal protection, livestock breeding management, animal behavior research, health monitoring, disease prevention and control and the like.

Proteins, nucleic acids encoding the proteins, compositions comprising the proteins, and methods are provided. The proteins have the ability to be self-targeted to ICAM-1 and, if desired, enzymatically-released at acidic pH. The ICAM-1-targeting peptides are provided as single copies or multiples repeats, and can be separated by linkers from the enzyme segment, from which the ICAM-1 targeting peptides can be released, if desired, at acidic pH. These fusion proteins enhance the activity of the enzyme segment within or liberated from the fusion protein, and provide increased recognition and targeting of diseased organs, transport from the bloodstream across the endothelium into said diseased organ, and intracellular uptake and lysosomal trafficking by cells in them, both in peripheral tissues and the central nervous system. Representative nucleotide and amino acid sequences of these fusion proteins, as well as in vitro, cellular, and in vivo animal data are provided. The described proteins can be used as a protein therapy, a gene therapy, or an implanted cell therapy.

The invention discloses a pest control method and system for forest cultivation, and relates to the technical field of pest control. The method comprises the following steps: acquiring initial monitoring data of forest insect pests, extracting nutrient information of the insect pests, and selecting monitoring plants; collecting monitoring plant data of the forest, and comparing the initial monitoring data with the monitoring plant data to obtain plant growth data; acquiring forest growth information, and evaluating to obtain a primary control effect of forest pests; acquiring real-time animal data of the forest, and comparing the initial monitoring data with the real-time animal data to obtain animal distribution information; evaluating according to the animal distribution information and the forest growth information to obtain an intermediate control effect of forest pests; the pest control effect is confirmed by combining the primary control effect and the intermediate control effect, and pest control is optimized and adjusted to obtain a new pest control scheme. The convenience of pest control for forest cultivation is improved.

The invention discloses an alien invasive plant evaluation system and method, the alien invasive plant evaluation system comprises an alien invasive plant evaluation system, the alien invasive plant evaluation system comprises a data acquisition module, a data processing module and a data analysis module, and the data acquisition module is in data connection with the data analysis module through the data processing module; the data acquisition module comprises an invasive plant data acquisition unit and a related animal data acquisition unit, and data of invasive plants and related animals can be conveniently acquired based on the invasive plant data acquisition unit and the related animal data acquisition unit. The data acquisition module, the data processing module and the data analysis module of the alien invasive plant evaluation system are arranged to acquire data of invasive plants and related animals and acquire geographic information data, meteorological data and biological data of areas where the invasive plants and the related animals are located and data of a database; the effect of improving the accuracy of the evaluation result of the evaluation system is achieved.

The present invention provides a drone data collection method, system, computer equipment and medium. By generating an animal data acquisition path that traverses preset data acquisition points in a monitoring area, and having the drone fly along the animal data acquisition path and then arrive at the data acquisition point to determine whether data acquisition is needed, the method eliminates the need for manual data acquisition at each data acquisition point, thereby reducing the workload and labor costs of data recovery. At the same time, since the drone does not need to be required to operate in an area covered by mobile communication signals when acquiring data, the requirements for mobile communication signal coverage and maintenance in the monitoring area are reduced. This solves the problems in the prior art of manual data recovery when using infrared cameras for field data monitoring, which leads to high workload and labor costs, and the rigid requirement for mobile communication signal coverage in the monitoring area, which makes maintenance of the monitoring area difficult.

A method of calibrating a sensors in a system for obtaining animal data from animals is described. The sensors are configured to obtain measurements of an animal related parameter during arbitrary visits by the animal to the sensors. For at least one of the animals, a first measurement associated with a first sensor of the sensors is obtained, and calculating one or more relations between the first measurement and one or more second measurements associated with the respective animal. Each of the second measurements is obtained using a further sensor, so as to obtain at least one representative relation for each combination of the first sensor and each one of the further sensors. The system calculates, based on the at least one representative relation, a correction factor associated with at least one sensor of the plurality of sensors.

An in vivo animal retention, data collection and analysis system that comprises an animal retention structure that is structured and operable to temporarily restrain a live animal to be scanned in specific location. The system additionally comprises an animal data acquisition system that is structured and operable to acquire phenotypic data of the animal to be scanned. The system further comprises a data processing system that is structured and operable to execute one or more animal efficiency algorithm that utilizes the acquired phenotypic data to calculate the efficiency of the animal to be scanned.

This invention provides an animal behavior correction device, method, and system. The animal behavior correction device is worn on the animal and includes: a positioning module for acquiring the animal's location data and defining the location data of a safe zone; a storage module for acquiring basic animal data; a physiological information acquisition module for acquiring the animal's physiological data; a main control module for determining the location data of the animal and the safe zone, and generating a correction operation and its intensity based at least on the basic data and physiological data when the animal is outside the safe zone; and a correction module for correcting the animal based on the correction operation and intensity to at least bring the animal back to the safe zone. This invention enables animals to perform different correction operations and intensities depending on their condition when leaving an electronic fence, saving on the maintenance costs of physical fences, reducing animal fighting, improving overall animal health, and lowering livestock costs.

The invention provides a medicine abnormal toxicity inspection electronic experiment record management system. The system comprises an inspection method management module, an animal management module, an animal data management module and an inspection result management module. Wherein the inspection method management module can carry out design, auditing and version control on a drug abnormal toxicity inspection experiment recording template; the animal management module is used for recording full life cycle data of experimental animals; the animal data management module is used for recording drug abnormal toxicity inspection experiment data; and the inspection result management module is used for generating, auditing and publishing electronic experiment records of drug abnormal toxicity inspection. According to the embodiment of the invention, the system achieves the automatic and full-life-cycle management of the drug abnormal toxicity inspection experiment data, guarantees the primitiveness, authenticity, safety and traceability of the laboratory data, effectively improves the inspection work efficiency, and achieves the comprehensive, scientific, unified, ordered and efficient computerized system management of the inspection data.

The present disclosure relates generally to keeping animals (10) and in particular to a method for investigating eating behavior of animals (10) in a livestock area (30). The present disclosure also relates to a control device (100) and to a computer program for performing the method. According to a first aspect, the present disclosure relates to a method for investigating eating behavior of animals (10) in a livestock area (30). The method comprises monitoring animal data for a period of time after feed has been dispensed at a feeding station (31) in the livestock area (30), the animal data being collected using tags carried by the animals (10) and being indicative of activity of the animals (10) and / or position of the animals (10) relative to the feeding station (31). The method further comprises performing an action when the monitored animal data fails to meet one or more eating criteria, the one or more eating criteria defining normal eating behavior of the animals (10) in terms of activity of the animals (10) and / or position of the animals (10) relative to the feeding station (31). The present disclosure also relates to a control device (100) and to a computer program for performing the method.

The invention discloses a wild animal on-line monitoring method based on satellite communication, which comprises the following steps: when an infrared sensor detects a signal, a camera module acquires current visual data, and a positioning module acquires spatio-temporal information; the main controller combines the spatio-temporal information and the current visual data into original monitoring data, and performs identification processing on the original monitoring data to obtain optimized data; calculating a transit time window of the next satellite according to the broadcasted satellite ephemeris data; the main controller sends the optimization data to a satellite through a satellite communication module in a transit time window; the satellite sends the optimization data to a ground gateway station; the ground gateway station sends the optimization data to a monitoring center server; the monitoring center server receives and analyzes the optimization data; and the mobile terminal obtains the data. According to the invention, efficient, accurate and intelligent wild animal data monitoring in a public network-free environment is realized. The invention further discloses a system for implementing the method, electronic equipment and a computer readable storage medium.

The application relates to the technical field of animal monitoring, and particularly discloses an experimental animal monitoring system and method, which comprises the following modules: an acquisition module for acquiring basic animal data, monitoring stage data, monitoring stage labels, monitoring target data and animal monitoring data of an experimental animal to be monitored, and determining real-time monitoring data; a monitoring module for determining monitoring abnormal data; an analysis module for acquiring historical abnormal data and determining reason abnormal data of each abnormal reason; an abnormal module for determining a candidate abnormal reason set and an abnormal reason label of each real-time monitoring label of the experimental animal to be monitored; and a determination module for determining real-time animal monitoring data of the experimental animal to be monitored. The candidate reasons and core causes of abnormal animals can be accurately positioned, the integration of abnormal monitoring, reason tracing and real-time data optimization is realized, the monitoring accuracy and systematicness are improved, different monitoring requirements are adapted to, and the real-time animal monitoring data is ensured to be comprehensive and reliable.

The present invention discloses a construction method and system based on the motion of vehicle-mounted virtual human and animal models, which relates to the field of autonomous driving technology, including obtaining autonomous driving scene image information, obtaining human and animal model information based on digitized scene reconstruction according to the autonomous driving scene image information, and obtaining model morphological data based on morphological analysis according to the human and animal model information. The present invention improves target recognition efficiency by selecting human and animal targets, dynamically adjusts the number of nodes required for image recognition through distance adjustment coefficients and node adjustment coefficients, and improves image recognition efficiency while ensuring target recognition accuracy. The human and animal model information provides a data basis for the construction of a human and animal data model, accurately evaluates the motion state of the target through the human and animal data model and the model morphological data, and ensures the stability and reliability of the human and animal model motion construction.

The invention discloses a construction method and system based on vehicle-mounted virtual character animal model motion, and relates to the technical field of automatic driving, and the method comprises the steps: obtaining the image information of an automatic driving scene, obtaining the information of a character animal model based on the data scene reconstruction according to the image information of the automatic driving scene, and obtaining the motion of the vehicle-mounted virtual character animal model according to the information of the character animal model. And based on morphological analysis, obtaining model morphological data. According to the method, the target recognition efficiency is improved through frame selection of the character and animal targets, the number of nodes required by image recognition is dynamically adjusted through the distance adjustment coefficient and the node adjustment coefficient, the image recognition efficiency is improved on the basis of ensuring the target recognition precision, and the image recognition efficiency is improved through character and animal model information. A data basis is provided for construction of the character and animal data model, the motion state of the target is accurately evaluated through the character and animal data model and the model form data, and the stability and reliability of character and animal model motion construction are ensured.

The application discloses a kind of navigation method and system of breeding house inside inspection robot, it is related to intelligent agricultural technology field, the method is by dividing breeding house into several regions, in combination with the shortest path algorithm and depth-first search algorithm, the path of preliminary planning of the inspection robot is patrolled, and environment data and animal data are collected in real time using internal sensor group and intelligent ear tag, by preprocessing, obtain health data group, calculate the health state index of environment and the health state index of animal, further obtain comprehensive health index, and preset first comprehensive health threshold and second comprehensive health threshold are evaluated.In health evaluation triggers path planning, dynamic path optimization model is used to adjust the inspection path, and the area with higher health risk is preferentially covered until the health evaluation of the inspection task area reaches a good state.This method can effectively improve the health monitoring efficiency of breeding environment and animals, and ensure health management and risk control during breeding process.

The invention relates to a quadruped robot traffic inspection controller training method based on animal real data, and the method comprises the steps: collecting animal motion data, solving a pose sequence, obtaining a control strategy through simulation reinforcement learning in combination with an original level state, generating a data set, and building an original level control network output action; and constructing a parameterized complex environment scene, training an environment level control network to output potential vectors to an original level network, and realizing complex environment motion control. According to the method, animal motion data is redirected, and an original level network is constructed by combining simulation reinforcement learning and a variational auto-encoder, so that motion feature representation compression and knowledge multiplexing are realized; environment-level network targeted training is constructed, and the environment-level network and an original-level network cooperatively improve the specific scene control capability; a top layer decision module is introduced to deconstruct an environment into a typical sub-scene, the scene is recognized based on sensing data and an ontology state, a corresponding environment level network is activated, and self-adaptive control is achieved.

Proteins, nucleic acids encoding the proteins, compositions comprising the proteins, and methods are provided. The proteins have the ability to be self-targeted to ICAM-1 and, if desired, enzymatically-released at acidic pH. The ICAM-1-targeting peptides are provided as single copies or multiples repeats, and can be separated by linkers from the enzyme segment, from which the ICAM-1 targeting peptides can be released, if desired, at acidic pH. These fusion proteins enhance the activity of the enzyme segment within or liberated from the fusion protein, and provide increased recognition and targeting of diseased organs, transport from the bloodstream across the endothelium into said diseased organ, and intracellular uptake and lysosomal trafficking by cells in them, both in peripheral tissues and the central nervous system. Representative nucleotide and amino acid sequences of these fusion proteins, as well as in vitro, cellular, and in vivo animal data are provided. The described proteins can be used as a protein therapy, a gene therapy, or an implanted cell therapy.

The present application discloses a multi-source heterogeneous data fusion processing method and system based on the Internet of Things. The method includes obtaining the historical usage data of the circulating water pump of the nuclear power plant, analyzing the influence of the historical usage of the circulating water pump of the nuclear power plant on the aging of the circulating water pump based on the historical usage data, and then analyzing the influence of the historical usage of the circulating water pump on the blockage failure of the circulating water pump to obtain the historical usage weight ratio p1; detecting the air flow and rainfall around the circulating water pump to obtain environmental meteorological data, analyzing the influence of the environmental meteorological around the circulating water pump on the water inhaled by the circulating water pump based on the environmental meteorological data to obtain the environmental impact weight ratio p2; detecting the animals at the inlet of the circulating water pump to obtain animal data, and analyzing the influence of the animals at the inlet of the circulating water pump on the blockage failure of the circulating water pump based on the animal data to obtain the animal impact coefficient CTH. The present application has the effect of improving the accuracy of fusion processing of multi-source heterogeneous data.

The application discloses an ecological corridor guiding device based on biological sensing, which comprises a guiding mechanism, a door sealing mechanism arranged on the guiding mechanism and used for sealing one end of the guiding mechanism, a biological sensing mechanism arranged on the guiding mechanism, an electrical mechanism arranged on the guiding mechanism and used for sending collected wild animal data to an external monitoring terminal for processing and analysis, generating an analysis result, and controlling the door sealing mechanism to open according to the analysis result, and a luring mechanism arranged in the guiding mechanism. The guiding device of the application is arranged at an entrance of an ecological corridor. When the biological sensing mechanism senses that a wild animal meets the condition of entering the ecological corridor, the electrical mechanism drives the door sealing mechanism to open, and the luring mechanism works. The LED lamp group, the ultrasonic wave emitter and the bait luring part in the luring mechanism can lure the wild animal to enter the guiding seat, so that the wild animal can safely enter the ecological corridor, and the wild animal can avoid rejecting and misusing the corridor.