CN116822817A - Intelligent animal husbandry management system based on AI technology - Google Patents
Intelligent animal husbandry management system based on AI technology Download PDFInfo
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- CN116822817A CN116822817A CN202211535149.0A CN202211535149A CN116822817A CN 116822817 A CN116822817 A CN 116822817A CN 202211535149 A CN202211535149 A CN 202211535149A CN 116822817 A CN116822817 A CN 116822817A
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- 230000002159 abnormal effect Effects 0.000 claims abstract description 138
- 244000144972 livestock Species 0.000 claims description 65
- 238000000034 method Methods 0.000 claims description 32
- 208000027418 Wounds and injury Diseases 0.000 claims description 11
- 230000036760 body temperature Effects 0.000 claims description 10
- 238000001514 detection method Methods 0.000 claims description 5
- 230000000630 rising effect Effects 0.000 claims description 4
- 206010072170 Skin wound Diseases 0.000 claims description 3
- 230000006698 induction Effects 0.000 abstract description 5
- 238000012544 monitoring process Methods 0.000 abstract description 5
- 238000003975 animal breeding Methods 0.000 abstract 1
- 230000009286 beneficial effect Effects 0.000 description 8
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Abstract
The invention provides an intelligent animal husbandry management system based on an AI technology, which utilizes an unmanned aerial vehicle to monitor the non-contact property of all animals in an animal farm, combines the AI technology to identify and analyze images shot by the unmanned aerial vehicle, positions and marks abnormal animals in the animals, and carries out close-range induction monitoring, thereby updating and processing the stocking state log information of the abnormal animals, timely and accurately grasping the growth condition of the abnormal animals, and improving the reliability and accuracy of animal breeding management.
Description
Technical Field
The invention relates to the technical field of livestock management, in particular to an intelligent livestock management system based on an AI technology.
Background
The existing livestock industry is to intensively breed animals such as cattle and sheep in a large pasture, the number of animals in the pasture is huge, the movable range of the animals is large, and high-frequency comprehensive detection cannot be carried out on each animal. Although the identification chip is implanted in the ear and other positions of the livestock in the prior art, the identification chip can only identify the whole breeding process of the livestock, and can not effectively and comprehensively record the real-time condition of the livestock in the breeding process, so that the breeding of the livestock can not be accurately and reliably managed and the normal healthy growth of the livestock can not be ensured.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention provides an intelligent animal husbandry management system based on an AI technology, which shoots animals in an animal farm by using an unmanned plane, analyzes shot animal group images, determines abnormal animal machine body state information existing in the images, tracks and shoots each abnormal animal, analyzes shot individual images of the animals, and determines abnormal animal appearance state information; simultaneously, the sensing equipment is utilized to read the identity information of the abnormal animal from the chip on the abnormal animal; the system monitors all animals in the animal farm in a non-contact manner by utilizing an unmanned aerial vehicle, performs identification and analysis on images shot by the unmanned aerial vehicle by combining the AI technology, and performs positioning identification and close-range induction monitoring on the abnormal animals, thereby updating the abnormal animal stocking state log information, timely and accurately grasping the growth condition of the abnormal animals, and improving the reliability and accuracy of animal cultivation management.
The invention provides an intelligent animal husbandry management system based on AI technology, which comprises:
the unmanned aerial vehicle is used for flying above the animal farm so as to monitor animals on the animal farm;
the ranging sensor is arranged on the unmanned aerial vehicle and used for detecting the relative distance between the unmanned aerial vehicle and the livestock;
the ground control platform is connected with the unmanned aerial vehicle and used for controlling the flight state of the unmanned aerial vehicle according to the relative distance;
the first camera is arranged on the unmanned aerial vehicle and is used for shooting and obtaining a plurality of livestock group images corresponding to the livestock according to the current flight state of the unmanned aerial vehicle;
the AI processing platform is used for analyzing and processing the animal group images and determining abnormal animals and physical state information thereof in a plurality of animals;
the ground control platform is also used for adjusting the flight state of the unmanned aerial vehicle according to the physical state information of the abnormal livestock;
the second camera is arranged on the unmanned aerial vehicle and is used for shooting to obtain an independent image of the abnormal animal after the flight state of the unmanned aerial vehicle is adjusted;
the AI processing platform is also used for analyzing and processing the independent images and determining the appearance state information of the abnormal livestock;
the sensing equipment is arranged on the unmanned aerial vehicle and is used for performing sensing operation with a chip on the abnormal animal in the shooting process of the second camera to acquire identity information of the abnormal animal;
the AI processing platform is also used for updating the stocking status log information of the abnormal livestock according to the identity information, the physical status information and the appearance status information.
Further, the ranging sensor is an infrared radar scanning sensor;
the infrared radar scanning sensor is used for carrying out infrared radar scanning detection on animals in the animal farm in the flight process of the unmanned aerial vehicle so as to obtain the average relative distance between the unmanned aerial vehicle and the animals in the specific range of the animal farm;
the ground control platform controls the flight state of the unmanned aerial vehicle according to the relative distance specifically comprises:
the ground control platform compares the average relative distance with a first preset distance threshold, and if the average relative distance is smaller than or equal to the first preset distance threshold, the flying height of the unmanned aerial vehicle is adjusted; and if the average relative distance is greater than the first preset distance threshold, adjusting the flight direction and the flight speed of the unmanned aerial vehicle.
Further, if the average relative distance is less than or equal to the first preset distance threshold, adjusting the flying height of the unmanned aerial vehicle specifically includes:
if the average relative distance is smaller than or equal to the first preset distance threshold value, the unmanned aerial vehicle is instructed to increase the flying height of the unmanned aerial vehicle to a target height value in a uniform vertical rising mode;
if the average relative distance is greater than the first preset distance threshold, adjusting the flight direction and the flight speed of the unmanned aerial vehicle specifically includes:
and if the average relative distance is greater than the first preset distance threshold, indicating the unmanned aerial vehicle to perform parallel spiral flight at the current altitude position at a fixed flight speed.
Further, the shooting by the first camera according to the current flight state of the unmanned aerial vehicle to obtain a plurality of livestock group images corresponding to the livestock specifically includes:
when the unmanned aerial vehicle is in a parallel spiral flight state, the ground control platform sends a shooting trigger instruction to the first camera, so that the first camera performs multiple wide-angle shooting on the areas where a plurality of livestock are located on the livestock farm, and a plurality of infrared images of the livestock groups are obtained; wherein, the shooting angles of view of each wide-angle shooting are the same and the shooting focal lengths are different;
before the AI processing platform analyzes and processes the animal group images, the AI processing platform further comprises:
the AI processing platform obtains the animal quantity value contained in the infrared image of each animal group, and takes the animal group infrared image with the largest animal quantity value as the image corresponding to the analysis processing.
Further, the AI processing platform analyzes and processes the animal group image, and determining abnormal animals and physical state information thereof in the plurality of animals specifically includes:
the AI processing platform analyzes and processes the infrared images of the livestock groups with the largest livestock quantity value to determine the actual body temperature value corresponding to each livestock in the infrared images of the livestock groups; if the actual body temperature value is greater than a preset body temperature threshold value, determining that the corresponding animal belongs to an abnormal animal;
and extracting body outline information of the abnormal livestock from the infrared images of the livestock groups, and determining real-time position information of the abnormal livestock in the animal farm according to the body outline information.
Further, the ground control platform adjusts the flight status of the unmanned aerial vehicle according to the physical status information of the abnormal animal, specifically including:
the ground control platform adjusts the flight path of the unmanned aerial vehicle according to the real-time position information of the abnormal livestock so as to track and fly the abnormal livestock;
the second camera is used for shooting the individual images of the abnormal livestock after the flight state of the unmanned aerial vehicle is adjusted, and specifically comprises the following steps:
detecting a linear distance between the unmanned aerial vehicle and the abnormal animal through the ranging sensor in the process of tracking and flying the abnormal animal by the unmanned aerial vehicle;
if the linear distance is smaller than or equal to a second preset distance threshold, the ground control platform sends a shooting trigger instruction to the second camera, so that the second camera performs binocular shooting on the abnormal animal to obtain a corresponding binocular image of the abnormal animal.
Further, the AI processing platform performs analysis processing on the individual images, and determining the appearance status information of the abnormal animal specifically includes:
the AI processing platform obtains an external three-dimensional image of the abnormal animal according to the binocular image of the abnormal animal, and carries out identification processing on the external three-dimensional image to determine the existence state information of the skin wound of the abnormal animal; wherein the information of the presence of an epidermal wound comprises the size of the epidermal wound area and the location of the epidermal wound of the abnormal animal;
the sensing device performs sensing operation with the chip on the abnormal animal during the shooting process of the second camera, and the obtaining the identity information of the abnormal animal specifically includes:
and the sensing equipment senses near field of a chip preset on the abnormal animal in the shooting process of the second camera, so that the identity information of the abnormal animal is read from the chip.
Further, the AI processing platform updates the stocking status log information of the abnormal animal according to the identity information, the physical status information and the appearance status information, and specifically includes:
the AI processing platform marks stocking state log information items matched with the abnormal livestock from a stocking state log information base according to the identity information; and then updating the stocking state log information item according to the physical state information and the appearance state information.
Compared with the prior art, the intelligent animal husbandry management system based on the AI technology shoots animals in an animal farm by using an unmanned plane, analyzes shot animal group images, determines abnormal animal machine body state information in the images, tracks and shoots each abnormal animal, analyzes shot individual images of the animals, and determines abnormal animal appearance state information; simultaneously, the sensing equipment is utilized to read the identity information of the abnormal animal from the chip on the abnormal animal; the system monitors all animals in the animal farm in a non-contact manner by utilizing an unmanned aerial vehicle, performs identification and analysis on images shot by the unmanned aerial vehicle by combining the AI technology, and performs positioning identification and close-range induction monitoring on the abnormal animals, thereby updating the abnormal animal stocking state log information, timely and accurately grasping the growth condition of the abnormal animals, and improving the reliability and accuracy of animal cultivation management.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of an intelligent animal husbandry management system based on AI technology.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a schematic structural diagram of an intelligent animal husbandry management system based on AI technology according to an embodiment of the present invention is shown. The intelligent animal husbandry management system based on the AI technology comprises:
the unmanned aerial vehicle is used for flying above the animal farm so as to monitor animals on the animal farm;
the ranging sensor is arranged on the unmanned aerial vehicle and used for detecting the relative distance between the unmanned aerial vehicle and the livestock;
the ground control platform is connected with the unmanned aerial vehicle and used for controlling the flight state of the unmanned aerial vehicle according to the relative distance;
the first camera is arranged on the unmanned aerial vehicle and is used for shooting and obtaining a plurality of livestock group images corresponding to the livestock according to the current flight state of the unmanned aerial vehicle;
the AI processing platform is used for analyzing and processing the animal group images and determining abnormal animals and physical state information thereof in a plurality of animals;
the ground control platform is also used for adjusting the flight state of the unmanned aerial vehicle according to the physical state information of the abnormal livestock;
the second camera is arranged on the unmanned aerial vehicle and is used for shooting to obtain an independent image of the abnormal animal after the flight state of the unmanned aerial vehicle is adjusted;
the AI processing platform is also used for analyzing and processing the single image and determining the appearance state information of the abnormal animal;
the sensing equipment is arranged on the unmanned aerial vehicle and is used for performing sensing operation with a chip on the abnormal animal body in the shooting process of the second camera to acquire identity information of the abnormal animal;
the AI processing platform is also used for updating the stocking status log information of the abnormal livestock according to the identity information, the physical status information and the appearance status information.
The beneficial effects of the technical scheme are as follows: the intelligent animal husbandry management system based on the AI technology shoots animals in an animal farm by using an unmanned plane, analyzes shot animal group images, determines abnormal animal machine physical state information existing in the images, tracks and shoots each abnormal animal, analyzes shot individual images of the animals, and determines abnormal animal appearance state information; simultaneously, the sensing equipment is utilized to read the identity information of the abnormal animal from the chip on the abnormal animal; the system monitors all animals in the animal farm in a non-contact manner by utilizing an unmanned aerial vehicle, performs identification and analysis on images shot by the unmanned aerial vehicle by combining the AI technology, and performs positioning identification and close-range induction monitoring on the abnormal animals, thereby updating the abnormal animal stocking state log information, timely and accurately grasping the growth condition of the abnormal animals, and improving the reliability and accuracy of animal cultivation management.
Preferably, the ranging sensor is an infrared radar scanning sensor;
the infrared radar scanning sensor is used for carrying out infrared radar scanning detection on animals in the animal farm in the flight process of the unmanned aerial vehicle so as to obtain the average relative distance between the unmanned aerial vehicle and the animals in the specific range of the animal farm;
the ground control platform controls the flight state of the unmanned aerial vehicle according to the relative distance specifically comprises:
the ground control platform compares the average relative distance with a first preset distance threshold value, and if the average relative distance is smaller than or equal to the first preset distance threshold value, the flying height of the unmanned aerial vehicle is adjusted; and if the average relative distance is greater than the first preset distance threshold, adjusting the flight direction and the flight speed of the unmanned aerial vehicle.
The beneficial effects of the technical scheme are as follows: the infrared radar scanning sensor is installed on the unmanned aerial vehicle, after the unmanned aerial vehicle takes off, the infrared radar scanning sensor carries out infrared radar scanning detection on animals in the animal farm, so that the average relative distance between the current unmanned aerial vehicle and the animals in the animal farm in a specific range is obtained, the flying height, or the flying direction and the flying speed of the unmanned aerial vehicle are adjusted by taking the average relative distance as a reference, and therefore when the flying height of the unmanned aerial vehicle is too low or too high, the flying state of the unmanned aerial vehicle is adaptively adjusted, and the first camera of the unmanned aerial vehicle is ensured to be capable of shooting animals with the largest quantity possible.
Preferably, if the average relative distance is less than or equal to the first preset distance threshold, adjusting the flying height of the unmanned aerial vehicle specifically includes:
if the average relative distance is smaller than or equal to the first preset distance threshold value, the unmanned aerial vehicle is instructed to increase the flying height of the unmanned aerial vehicle to a target height value in a uniform-speed vertical rising mode;
if the average relative distance is greater than the first preset distance threshold, adjusting the flight direction and the flight speed of the unmanned aerial vehicle specifically includes:
and if the average relative distance is greater than the first preset distance threshold, indicating the unmanned aerial vehicle to perform parallel spiral flight at the current altitude position with the fixed flight speed.
The beneficial effects of the technical scheme are as follows: when the average relative distance is smaller than or equal to a first preset distance threshold, the flying height of the unmanned aerial vehicle is too low, and the unmanned aerial vehicle increases the flying height of the unmanned aerial vehicle to a target height value in a uniform vertical rising mode, so that the shooting visual field range of the unmanned aerial vehicle for the livestock can be enlarged. When the average relative distance is larger than a first preset distance threshold, the flight height of the unmanned aerial vehicle is moderate, and the unmanned aerial vehicle performs parallel spiral flight at the current height position at a fixed flight speed, so that the shooting visual field range of the unmanned aerial vehicle can be furthest enlarged.
Preferably, the shooting, by the first camera, the plurality of animal group images corresponding to the animals according to the current flight status of the unmanned aerial vehicle specifically includes:
when the unmanned aerial vehicle is in a parallel spiral flight state, the ground control platform sends a shooting trigger instruction to the first camera, so that the first camera performs multiple wide-angle shooting on the region where a plurality of animals are located on the animal farm, and a plurality of infrared images of the animal groups are obtained; wherein, the shooting angles of view of each wide-angle shooting are the same and the shooting focal lengths are different;
before the AI processing platform analyzes and processes the animal group image, the AI processing platform further comprises:
the AI processing platform obtains the animal quantity value contained in the infrared image of each animal group, and takes the infrared image of the animal group with the largest animal quantity value as the image corresponding to the analysis processing.
The beneficial effects of the technical scheme are as follows: in practical application, the first camera may be, but not limited to, an infrared camera, and the first camera is used for performing multiple wide-angle shooting on the areas where the animals are located on the animal farm, so as to obtain a plurality of infrared images of the animals, so that the infrared images of the animals with the largest animal quantity value can be conveniently selected from the infrared images as images corresponding to analysis processing, and the identification of more animals can be completed to the greatest extent in the single image identification process.
Preferably, the AI processing platform performs analysis processing on the animal group image, and determining abnormal animals and physical status information thereof in the plurality of animals specifically includes:
the AI processing platform analyzes and processes the infrared images of the livestock groups with the largest livestock quantity value to determine the actual body temperature value corresponding to each livestock in the infrared images of the livestock groups; if the actual body temperature value is greater than the preset body temperature threshold value, determining that the corresponding animal belongs to an abnormal animal;
and extracting body outline information of the abnormal animal from the infrared image of the animal group, and determining real-time position information of the abnormal animal in the animal farm according to the body outline information.
The beneficial effects of the technical scheme are as follows: by the method, the existing abnormal animals are identified by taking the actual body temperature value of the animals as a reference, and the real-time position information of the abnormal animals in the animal farm is determined by taking the body outline information of the abnormal animals as a reference, so that the abnormal animals can be accurately positioned, and the follow-up short-distance shooting of each abnormal animal is facilitated.
Preferably, the ground control platform adjusts the flight status of the unmanned aerial vehicle according to the physical status information of the abnormal animal, specifically including:
the ground control platform adjusts the flight path of the unmanned aerial vehicle according to the real-time position information of the abnormal animal so as to track and fly the abnormal animal;
the second camera is used for shooting individual images of the abnormal animal after the flight state of the unmanned aerial vehicle is adjusted, and specifically comprises the following steps:
detecting a linear distance between the unmanned aerial vehicle and the abnormal animal by the ranging sensor in the process of tracking and flying the abnormal animal by the unmanned aerial vehicle;
if the linear distance is smaller than or equal to a second preset distance threshold, the ground control platform sends a shooting trigger instruction to the second camera, so that the second camera performs binocular shooting on the abnormal animal to obtain a corresponding binocular image of the abnormal animal.
The beneficial effects of the technical scheme are as follows: by the method, the real-time position information of the abnormal animal is taken as a reference, and the second camera of the unmanned aerial vehicle is instructed to carry out close-range tracking shooting on the abnormal animal, so that reliable image support is provided for the follow-up determination of the epidermis state of the abnormal animal.
Preferably, the AI processing platform performs analysis processing on the individual images, and the determining the appearance status information of the abnormal animal specifically includes:
the AI processing platform obtains the exterior three-dimensional image of the abnormal animal according to the binocular image of the abnormal animal, and carries out identification processing on the exterior three-dimensional image to determine the existence state information of the skin wound of the abnormal animal; wherein the information of the presence of the epidermal wound comprises the size of the epidermal wound area and the presence location of the epidermal wound of the abnormal animal;
the sensing device performs sensing operation with the chip on the abnormal animal in the shooting process of the second camera, and the obtaining of the identity information of the abnormal animal specifically includes:
the sensing device senses the near field of a chip preset on the abnormal animal in the shooting process of the second camera, so that the identity information of the abnormal animal is read from the chip.
The beneficial effects of the technical scheme are as follows: through the method, the size of the surface wound area and the existence position of the surface wound of the abnormal animal can be quantitatively determined, and meanwhile, the identity information of the abnormal animal is read from the NFC chip preset on the abnormal animal, so that the stocking state of the abnormal animal is updated in a targeted manner.
Preferably, the AI processing platform updates the stocking status log information of the abnormal animal according to the identity information, the physical status information and the appearance status information, and specifically includes:
the AI processing platform marks the stocking status log information items matched with the abnormal livestock from a stocking status log information base according to the identity information; and then updating the stocking state log information item according to the physical state information and the appearance state information.
The beneficial effects of the technical scheme are as follows: the method comprises the steps that a stocking state log information item about each animal is stored in a stocking state log information base, and each stocking state log information item takes identity information of the corresponding animal as a unique identifier, so that the stocking state log information item matched with an abnormal animal is calibrated from the stocking state log information base according to the identity information; and then updating the stocking state log information item according to the physical state information and the appearance state information, so as to realize intelligent breeding management of the livestock.
As can be seen from the above embodiments, the intelligent animal husbandry management system based on AI technology uses an unmanned plane to shoot animals in an animal farm, analyzes shot animal group images, determines abnormal animal machine physical state information existing in the images, tracks each abnormal animal, analyzes shot individual images of the animals, and determines abnormal animal appearance state information; simultaneously, the sensing equipment is utilized to read the identity information of the abnormal animal from the chip on the abnormal animal; the system monitors all animals in the animal farm in a non-contact manner by utilizing an unmanned aerial vehicle, performs identification and analysis on images shot by the unmanned aerial vehicle by combining the AI technology, and performs positioning identification and close-range induction monitoring on the abnormal animals, thereby updating the abnormal animal stocking state log information, timely and accurately grasping the growth condition of the abnormal animals, and improving the reliability and accuracy of animal cultivation management.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (8)
1. Intelligent animal husbandry management system based on AI technique, its characterized in that includes:
the unmanned aerial vehicle is used for flying above the animal farm so as to monitor animals on the animal farm; the ranging sensor is arranged on the unmanned aerial vehicle and used for detecting the relative distance between the unmanned aerial vehicle and the livestock;
the ground control platform is connected with the unmanned aerial vehicle and used for controlling the flight state of the unmanned aerial vehicle according to the relative distance;
the first camera is arranged on the unmanned aerial vehicle and is used for shooting and obtaining a plurality of livestock group images corresponding to the livestock according to the current flight state of the unmanned aerial vehicle;
the AI processing platform is used for analyzing and processing the animal group images and determining abnormal animals and physical state information thereof in a plurality of animals;
the ground control platform is also used for adjusting the flight state of the unmanned aerial vehicle according to the physical state information of the abnormal livestock;
the second camera is arranged on the unmanned aerial vehicle and is used for shooting to obtain an independent image of the abnormal animal after the flight state of the unmanned aerial vehicle is adjusted;
the AI processing platform is also used for analyzing and processing the independent images and determining the appearance state information of the abnormal livestock;
the sensing equipment is arranged on the unmanned aerial vehicle and is used for performing sensing operation with a chip on the abnormal animal in the shooting process of the second camera to acquire identity information of the abnormal animal;
the AI processing platform is also used for updating the stocking status log information of the abnormal livestock according to the identity information, the physical status information and the appearance status information.
2. An intelligent animal husbandry management system based on AI technology as claimed in claim 1, wherein: the distance measuring sensor is an infrared radar scanning sensor;
the infrared radar scanning sensor is used for carrying out infrared radar scanning detection on animals in the animal farm in the flight process of the unmanned aerial vehicle so as to obtain the average relative distance between the unmanned aerial vehicle and the animals in the specific range of the animal farm;
the ground control platform controls the flight state of the unmanned aerial vehicle according to the relative distance specifically comprises:
the ground control platform compares the average relative distance with a first preset distance threshold, and if the average relative distance is smaller than or equal to the first preset distance threshold, the flying height of the unmanned aerial vehicle is adjusted; and if the average relative distance is greater than the first preset distance threshold, adjusting the flight direction and the flight speed of the unmanned aerial vehicle.
3. An intelligent animal husbandry management system based on AI technology as claimed in claim 2, wherein: if the average relative distance is smaller than or equal to the first preset distance threshold, adjusting the flying height of the unmanned aerial vehicle specifically includes:
if the average relative distance is smaller than or equal to the first preset distance threshold value, the unmanned aerial vehicle is instructed to increase the flying height of the unmanned aerial vehicle to a target height value in a uniform vertical rising mode;
if the average relative distance is greater than the first preset distance threshold, adjusting the flight direction and the flight speed of the unmanned aerial vehicle specifically includes:
and if the average relative distance is greater than the first preset distance threshold, indicating the unmanned aerial vehicle to perform parallel spiral flight at the current altitude position at a fixed flight speed.
4. An intelligent animal husbandry management system based on AI technology as claimed in claim 3, wherein: the first camera shoots a plurality of livestock group images corresponding to the livestock according to the current flight state of the unmanned aerial vehicle, and the shooting comprises the following steps:
when the unmanned aerial vehicle is in a parallel spiral flight state, the ground control platform sends a shooting trigger instruction to the first camera, so that the first camera performs multiple wide-angle shooting on the areas where a plurality of livestock are located on the livestock farm, and a plurality of infrared images of the livestock groups are obtained; wherein, the shooting angles of view of each wide-angle shooting are the same and the shooting focal lengths are different;
before the AI processing platform analyzes and processes the animal group images, the AI processing platform further comprises:
the AI processing platform obtains the animal quantity value contained in the infrared image of each animal group, and takes the animal group infrared image with the largest animal quantity value as the image corresponding to the analysis processing.
5. An intelligent animal husbandry management system based on AI technology as claimed in claim 4, wherein: the AI processing platform analyzes and processes the animal group images, and determines abnormal animals and physical state information thereof in a plurality of animals specifically comprises:
the AI processing platform analyzes and processes the infrared images of the livestock groups with the largest livestock quantity value to determine the actual body temperature value corresponding to each livestock in the infrared images of the livestock groups; if the actual body temperature value is greater than a preset body temperature threshold value, determining that the corresponding animal belongs to an abnormal animal;
and extracting body outline information of the abnormal livestock from the infrared images of the livestock groups, and determining real-time position information of the abnormal livestock in the animal farm according to the body outline information.
6. An intelligent animal husbandry management system based on AI technology as claimed in claim 5, wherein: the ground control platform adjusts the flight state of the unmanned aerial vehicle according to the physical state information of the abnormal livestock specifically comprises:
the ground control platform adjusts the flight path of the unmanned aerial vehicle according to the real-time position information of the abnormal livestock so as to track and fly the abnormal livestock;
the second camera is used for shooting the individual images of the abnormal livestock after the flight state of the unmanned aerial vehicle is adjusted, and specifically comprises the following steps:
detecting a linear distance between the unmanned aerial vehicle and the abnormal animal through the ranging sensor in the process of tracking and flying the abnormal animal by the unmanned aerial vehicle;
if the linear distance is smaller than or equal to a second preset distance threshold, the ground control platform sends a shooting trigger instruction to the second camera, so that the second camera performs binocular shooting on the abnormal animal to obtain a corresponding binocular image of the abnormal animal.
7. An intelligent animal husbandry management system based on AI technology as claimed in claim 6, wherein: the AI processing platform analyzes and processes the individual images, and the determining of the appearance status information of the abnormal animal specifically includes:
the AI processing platform obtains an external three-dimensional image of the abnormal animal according to the binocular image of the abnormal animal, and carries out identification processing on the external three-dimensional image to determine the existence state information of the skin wound of the abnormal animal; wherein the information of the presence of an epidermal wound comprises the size of the epidermal wound area and the location of the epidermal wound of the abnormal animal;
the sensing device performs sensing operation with the chip on the abnormal animal during the shooting process of the second camera, and the obtaining the identity information of the abnormal animal specifically includes:
and the sensing equipment senses near field of a chip preset on the abnormal animal in the shooting process of the second camera, so that the identity information of the abnormal animal is read from the chip.
8. An intelligent animal husbandry management system based on AI technology as claimed in claim 7, wherein: the AI processing platform updates the stocking status log information of the abnormal animal according to the identity information, the physical status information and the appearance status information, and specifically includes: the AI processing platform marks stocking state log information items matched with the abnormal livestock from a stocking state log information base according to the identity information; and then updating the stocking state log information item according to the physical state information and the appearance state information.
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