CN113219964A - Poultry house environment inspection and regulation method, equipment and medium - Google Patents
Poultry house environment inspection and regulation method, equipment and medium Download PDFInfo
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- 244000144972 livestock Species 0.000 claims abstract description 98
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- 230000003902 lesion Effects 0.000 description 2
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- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
- G05D1/0246—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using a video camera in combination with image processing means
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
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Abstract
The invention relates to the technical field of livestock inspection, in particular to a poultry house environment inspection and regulation method, equipment and a medium, wherein the method comprises the following steps: the method comprises the steps that target livestock information, real-time image information and sound sent by an automatic inspection robot are obtained; inputting the real-time image information into an active shape model to obtain a first state of the livestock; analyzing the sound and matching the sound with the audio frequency of a database to obtain whether the state of the livestock is a first state; and when the state of the livestock is the first state, generating and playing a warning message and sending the target livestock information and the first state to a user side. According to the technical scheme provided by the invention, automatic environment inspection can be carried out through the automatic inspection robot, and regulation and control can be carried out through the server when problems occur.
Description
Technical Field
The invention relates to the technical field of livestock inspection, in particular to a poultry house environment inspection and regulation method, equipment and medium.
Background
With the development of information technology and computer science, artificial intelligence is increasingly applied to various industries, and the poultry breeding industry has also stepped into a new era of artificial intelligence. The intelligent robot is one of branches of the field of artificial intelligence, and is widely applied to the livestock industry in China.
However, in the aspect of inspection and regulation of livestock environment, a relatively perfect scheme is not provided, and the inspection and regulation are still carried out by manpower, so that a large amount of manpower is wasted, and the possibility of false detection is high.
Therefore, a poultry house environment inspection and regulation method, equipment and medium capable of automatically inspecting and regulating the environment are urgently needed, so that the problems that in the prior art, in the aspect of inspection and regulation of livestock environment, a relatively perfect scheme is not provided yet, inspection and regulation are still required by manpower, a large amount of manpower is wasted, and the possibility of error detection is high are solved.
Disclosure of Invention
The invention mainly aims to provide a poultry house environment inspection and regulation method, equipment and a medium capable of automatically inspecting and regulating the environment, so that the problems that inspection and regulation are still required to be performed by manpower, a large amount of manpower is wasted, and the possibility of error detection is high due to the fact that a relatively perfect scheme is not provided in the aspect of inspection and regulation of the livestock environment in the prior art are solved.
In order to achieve the above object, the present invention provides, in a first aspect, a poultry house environment inspection and regulation method, including:
acquiring target livestock information, real-time image information and sound sent by an automatic inspection robot;
inputting the real-time image information into an active shape model to obtain a first state of the livestock;
analyzing the sound and matching the sound with the audio frequency of a database to obtain whether the state of the livestock is a first state;
and when the state of the livestock is the first state, generating and playing a warning message and sending the target livestock information and the first state to a user side.
In some possible embodiments, the image information comprises a video stream, and the inputting the real-time image information into an active shape model to derive the first state of the animal comprises:
inputting the real-time video stream into an active shape model to derive a second state of the animal; wherein the second state comprises a normal motion state and a bump motion state.
In some possible embodiments, the method further comprises:
when the state of the livestock is not the first state, target livestock information, real-time image information and sound sent by the automatic inspection robot are obtained again;
and when the state of the livestock is not the first state, generating a moving instruction to control the automatic inspection robot to move to the next station.
In some possible embodiments, said inputting said real-time image information into an active shape model to derive a first state of said animal comprises:
calculating the actual radiation temperature in the real-time image information according to a formula I;
W＝ε*σ*T4formula one
Wherein, W is the emittance, epsilon is the emissivity of ash, if epsilon is 1, the object is black body, the emissivity of ash is between 0 and 1, sigma is Stefin-Bowman proportionality constant, get sigma 5.67 x 10-8And T is the absolute temperature K.
In some possible embodiments, the inputting the real-time image information into an active shape model to obtain the first state of the animal further includes:
preprocessing the real-time image;
segmenting the preprocessed real-time image through an Otsu algorithm to obtain a specific region in the real-time image; wherein the specific region has a different trait from that of other regions;
judging whether the characteristic feature value of the specific region exceeds a preset value or not;
when the character characteristic value of the specific area exceeds a preset value, obtaining a first state of the livestock; wherein the first state is an abnormal state.
In some possible embodiments, the analyzing the sound and matching with the audio of the database to determine whether the state of the livestock is the first state specifically includes:
analyzing whether the sound is in a normal state;
when the sound is in an abnormal state, matching with an abnormal sound library of a database to obtain a specific abnormal state of the livestock;
and judging whether the specific abnormal state is consistent with the first state or not.
In some possible embodiments, the method further comprises:
when the specific abnormal state is consistent with the first state, matching a treatment scheme corresponding to the first state according to the first state, and sending and displaying the treatment scheme on the user side in a popup window manner;
and receiving a confirmation instruction sent by a user through controlling the user side and controlling the automatic inspection robot to go to a storehouse to take medicines according to the treatment scheme and add the medicines into a trough corresponding to the livestock.
In some possible embodiments, the method further comprises:
and when the specific abnormal state is not in accordance with the first state, the specific abnormal state and the first state are fed back to the user side.
The invention discloses a poultry house environment inspection and regulation device in a second aspect, which comprises:
an information acquisition module: the system comprises a robot, a data acquisition module, a data processing module and a data processing module, wherein the robot is used for acquiring target livestock information, real-time image information and sound sent by the automatic inspection robot;
a model conversion module: inputting the real-time image information into an active shape model to obtain a first state of the livestock;
a sound analysis module: analyzing the sound and matching the sound with the audio frequency of a database to obtain whether the state of the livestock is a first state;
an alarm module: and when the state of the livestock is the first state, generating and playing a warning message and sending the target livestock information and the first state to a user side.
The invention discloses a storage medium, which stores an executable program, and when the executable program is executed, the poultry house environment inspection and regulation method is realized.
The technical scheme provided by the invention has the following advantages:
the method comprises the steps that target livestock information, real-time image information and sound sent by an automatic inspection robot are obtained; inputting the real-time image information into an active shape model to obtain a first state of the livestock; analyzing the sound and matching the sound with the audio frequency of a database to obtain whether the state of the livestock is a first state; and when the state of the livestock is the first state, generating and playing a warning message and sending the target livestock information and the first state to a user side. Can patrol and examine the robot through the automation and carry out automatic environment and patrol and examine and regulate and control when the problem appears through the server.
Drawings
Fig. 1 is a schematic flow chart of a poultry house environment inspection and regulation method according to an embodiment of the present invention.
Fig. 2 is a scene schematic diagram of a poultry house environment inspection and regulation method according to another embodiment of the present invention.
Fig. 3 is a schematic structural diagram of an environment inspecting and controlling device for a poultry house according to an embodiment of the present invention.
Fig. 4 is a block diagram of a server according to another embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1 and 2, in one aspect, the present invention provides a poultry house environment inspection and regulation method applied to a system including an automatic inspection robot, a server, a database, and a poultry house, the method including:
step S10: and acquiring target livestock information, real-time image information and sound sent by the automatic inspection robot.
In some possible embodiments, the server obtains the target livestock information, the real-time image information and the sound transmitted by the automatic inspection robot, for example, the automatic inspection robot is equipped with some sensors with specific functions such as a video camera, a sound pickup, a camera or an infrared camera to collect the target livestock information, the real-time image information and the sound.
Step S20: inputting the real-time image information into an active shape model to derive a first state of the animal.
In some possible embodiments, the active shape model may be trained first; for example, when the body temperature is high in the first state, a certain part of the real-time image information may be extracted, for example, the poultry house is a pig house, and a certain part is a pig ear, so that the success rate of the training may be indicated when the success rate of identifying the pig ear reaches 89%.
For example, calculating the actual radiation temperature in the real-time image information according to formula one;
W＝ε*σ*T4formula one
Wherein, W is the emittance, epsilon is the emissivity of ash, if epsilon is 1, the object is black body, the emissivity of ash is between 0 and 1, sigma is Stefin-Bowman proportionality constant, get sigma 5.67 x 10-8And T is the absolute temperature K.
Preprocessing the real-time image; may include using HSV color space, H being an angle value that represents color information. In order to improve the image processing speed, the S-layer image of the infrared image is subjected to binarization change.
Segmenting the preprocessed real-time image through an Otsu algorithm to obtain a specific region in the real-time image; wherein the specific region has a different trait from that of other regions;
judging whether the characteristic feature value of the specific region exceeds a preset value or not;
when the character characteristic value of the specific area exceeds a preset value, obtaining a first state of the livestock; wherein the first state is an abnormal state.
Of course, the real-time video stream can be input into an active shape model or through a millimeter wave radar to obtain the second state of the livestock; wherein the second state comprises a normal motion state and a bump motion state.
Step S30: and analyzing the sound and matching the sound with the audio frequency of the database to judge whether the state of the livestock is a first state.
In some possible embodiments, the server parses the sound and matches it with the audio of the database to see if the state of the animal is the first state. For example, whether the sound is in a normal state is analyzed.
And when the sound is in an abnormal state, matching with an abnormal sound library of the database to obtain the specific abnormal state of the livestock.
And judging whether the specific abnormal state is consistent with the first state or not.
When the specific abnormal state is consistent with the first state, matching a treatment scheme corresponding to the first state according to the first state, and sending and displaying the treatment scheme on the user side in a popup window manner;
and receiving a confirmation instruction sent by a user through controlling the user side and controlling the automatic inspection robot to go to a storehouse to take medicines according to the treatment scheme and add the medicines into a trough corresponding to the livestock.
And when the specific abnormal state is not in accordance with the first state, the specific abnormal state and the first state are fed back to the user side.
When can correspond the prescription of making up a prescription through the server, the rethread staff will get the medicine put and supply automatic robot that patrols and examines in the preset position to take and can put into food the medicine when feeding next time. Thereby being convenient for regulation and control when the livestock is sick.
Step S40: and when the state of the livestock is the first state, generating and playing a warning message and sending the target livestock information and the first state to a user side.
In some possible embodiments, the first status may be fever or a lesion at a certain part, and the server may generate and play an alarm and send the target livestock information and the first status to the user terminal. Thereby reminding the user to carry out corresponding rescue.
Step S50: and when the state of the livestock is not the first state, acquiring target livestock information, real-time image information and sound sent by the automatic inspection robot again.
In some possible embodiments, the states of the sound and image judgments may be different, which may be misjudgments.
Step S60: and when the state of the livestock is not the first state, generating a moving instruction to control the automatic inspection robot to move to the next station.
And setting a mechanism for eliminating misjudgment, and generating a moving instruction to control the automatic inspection robot to move to the next station when the server obtains that the state of the livestock is not the first state again.
The technical scheme has the following advantages:
the method comprises the steps that target livestock information, real-time image information and sound sent by an automatic inspection robot are obtained; inputting the real-time image information into an active shape model to obtain a first state of the livestock; analyzing the sound and matching the sound with the audio frequency of a database to obtain whether the state of the livestock is a first state; and when the state of the livestock is the first state, generating and playing a warning message and sending the target livestock information and the first state to a user side. Can patrol and examine the robot through the automation and carry out automatic environment and patrol and examine and regulate and control when the problem appears through the server.
Referring to fig. 3, the present application further provides a poultry house environment inspection and regulation device, which comprises:
the information acquisition module 10: the system is used for acquiring target livestock information, real-time image information and sound sent by the automatic inspection robot.
The model conversion module 20: inputting the real-time image information into an active shape model to derive a first state of the animal.
The sound analysis module 30: and analyzing the sound and matching the sound with the audio frequency of the database to judge whether the state of the livestock is a first state.
The alarm module 40: and when the state of the livestock is the first state, generating and playing a warning message and sending the target livestock information and the first state to a user side.
Referring to fig. 4, the present application further provides a server 30, which can be used in a system including an automatic inspection robot, a server, a database, and a poultry house, wherein the server 30 includes a memory 301 and a processor 302, and the memory 301 and the processor 302 are electrically connected through a bus 303.
The memory 301 includes at least one type of readable storage medium, which includes flash memory, hard disk, multi-media card, card type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, and the like. The memory 301 may in some embodiments be an internal storage unit of the server 30, such as a hard disk of the server 30. The memory 301 may also be an external storage device of the server 30 in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. provided on the server 30. The memory 301 may be used to store not only application software installed in the vehicle-mounted device and various data, such as codes of a computer-readable program, but also temporarily store data that has been output or will be output, that is, the first memory may be used as a storage medium storing a computer-executable poultry house environment inspection and control program.
Processor 302, which in some embodiments may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data Processing chip, may invoke the aviary environment patrol and regulation program stored in memory 301 to implement the following steps:
step S10: and acquiring target livestock information, real-time image information and sound sent by the automatic inspection robot.
In some possible embodiments, the server obtains the target livestock information, the real-time image information and the sound transmitted by the automatic inspection robot, for example, the automatic inspection robot is equipped with some sensors with specific functions such as a video camera, a sound pickup, a camera or an infrared camera to collect the target livestock information, the real-time image information and the sound.
Step S20: inputting the real-time image information into an active shape model to derive a first state of the animal.
In some possible embodiments, the active shape model may be trained first; for example, when the body temperature is high in the first state, a certain part of the real-time image information may be extracted, for example, the poultry house is a pig house, and a certain part is a pig ear, so that the success rate of the training may be indicated when the success rate of identifying the pig ear reaches 89%.
For example, calculating the actual radiation temperature in the real-time image information according to formula one;
W＝ε*σ*T4formula one
Wherein, W is the emittance, epsilon is the emissivity of ash, if epsilon is 1, the object is black body, the emissivity of ash is between 0 and 1, sigma is Stefin-Bowman proportionality constant, get sigma 5.67 x 10-8And T is the absolute temperature K.
Preprocessing the real-time image;
segmenting the preprocessed real-time image through an Otsu algorithm to obtain a specific region in the real-time image; wherein the specific region has a different trait from that of other regions;
judging whether the characteristic feature value of the specific region exceeds a preset value or not;
when the character characteristic value of the specific area exceeds a preset value, obtaining a first state of the livestock; wherein the first state is an abnormal state.
Of course, the real-time video stream can be input into an active shape model or through a millimeter wave radar to obtain the second state of the livestock; wherein the second state comprises a normal motion state and a bump motion state.
Step S30: and analyzing the sound and matching the sound with the audio frequency of the database to judge whether the state of the livestock is a first state.
In some possible embodiments, the server parses the sound and matches it with the audio of the database to see if the state of the animal is the first state. For example, whether the sound is in a normal state is analyzed.
And when the sound is in an abnormal state, matching with an abnormal sound library of the database to obtain the specific abnormal state of the livestock.
And judging whether the specific abnormal state is consistent with the first state or not.
When the specific abnormal state is consistent with the first state, matching a treatment scheme corresponding to the first state according to the first state, and sending and displaying the treatment scheme on the user side in a popup window manner;
and receiving a confirmation instruction sent by a user through controlling the user side and controlling the automatic inspection robot to go to a storehouse to take medicines according to the treatment scheme and add the medicines into a trough corresponding to the livestock.
And when the specific abnormal state is not in accordance with the first state, the specific abnormal state and the first state are fed back to the user side.
When can correspond the prescription of making up a prescription through the server, the rethread staff will get the medicine put and supply automatic robot that patrols and examines in the preset position to take and can put into food the medicine when feeding next time. Thereby being convenient for regulation and control when the livestock is sick.
Step S40: and when the state of the livestock is the first state, generating and playing a warning message and sending the target livestock information and the first state to a user side.
In some possible embodiments, the first status may be fever or a lesion at a certain part, and the server may generate and play an alarm and send the target livestock information and the first status to the user terminal. Thereby reminding the user to carry out corresponding rescue.
Step S50: and when the state of the livestock is not the first state, acquiring target livestock information, real-time image information and sound sent by the automatic inspection robot again.
In some possible embodiments, the states of the sound and image judgments may be different, which may be misjudgments.
Step S60: and when the state of the livestock is not the first state, generating a moving instruction to control the automatic inspection robot to move to the next station.
And setting a mechanism for eliminating misjudgment, and generating a moving instruction to control the automatic inspection robot to move to the next station when the server obtains that the state of the livestock is not the first state again.
The technical scheme has the following advantages:
the method comprises the steps that target livestock information, real-time image information and sound sent by an automatic inspection robot are obtained; inputting the real-time image information into an active shape model to obtain a first state of the livestock; analyzing the sound and matching the sound with the audio frequency of a database to obtain whether the state of the livestock is a first state; and when the state of the livestock is the first state, generating and playing a warning message and sending the target livestock information and the first state to a user side. Can patrol and examine the robot through the automation and carry out automatic environment and patrol and examine and regulate and control when the problem appears through the server.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A poultry house environment inspection and regulation method is characterized by comprising the following steps:
acquiring target livestock information, real-time image information and sound sent by an automatic inspection robot;
inputting the real-time image information into an active shape model to obtain a first state of the livestock;
analyzing the sound and matching the sound with the audio frequency of a database to obtain whether the state of the livestock is a first state;
and when the state of the livestock is the first state, generating and playing a warning message and sending the target livestock information and the first state to a user side.
2. The aviary environment inspection and control method according to claim 1, wherein the image information includes a video stream, and the inputting the real-time image information into the active shape model to derive the first state of the livestock includes:
inputting the real-time video stream into an active shape model to derive a second state of the animal; wherein the second state comprises a normal motion state and a bump motion state.
3. The poultry house environment inspection and control method according to claim 1, further comprising:
when the state of the livestock is not the first state, target livestock information, real-time image information and sound sent by the automatic inspection robot are obtained again;
and when the state of the livestock is not the first state, generating a moving instruction to control the automatic inspection robot to move to the next station.
4. The poultry house environment inspection and control method according to claim 1, wherein the inputting the real-time image information into an active shape model to derive a first state of the livestock specifically comprises:
calculating the actual radiation temperature in the real-time image information according to a formula I;
W＝ε*σ*T4formula one
Wherein, W is the emittance, epsilon is the emissivity of ash, if epsilon is 1, the object is black body, the emissivity of ash is between 0 and 1, sigma is Stefin-Bowman proportionality constant, get sigma 5.67 x 10-8And T is the absolute temperature K.
5. The aviary environment inspection and control method according to claim 4, wherein the inputting of the real-time image information into an active shape model to derive a first state of the animal further comprises:
preprocessing the real-time image;
segmenting the preprocessed real-time image through an Otsu algorithm to obtain a specific region in the real-time image; wherein the specific region has a different trait from that of other regions;
judging whether the characteristic feature value of the specific region exceeds a preset value or not;
when the character characteristic value of the specific area exceeds a preset value, obtaining a first state of the livestock; wherein the first state is an abnormal state.
6. The aviary environment inspection and control method according to claim 5, wherein the analyzing the sound and matching with the audio of the database to determine whether the status of the livestock is the first status comprises:
analyzing whether the sound is in a normal state;
when the sound is in an abnormal state, matching with an abnormal sound library of a database to obtain a specific abnormal state of the livestock;
and judging whether the specific abnormal state is consistent with the first state or not.
7. The poultry house environment inspection and control method according to claim 6, further comprising:
when the specific abnormal state is consistent with the first state, matching a treatment scheme corresponding to the first state according to the first state, and sending and displaying the treatment scheme on the user side in a popup window manner;
and receiving a confirmation instruction sent by a user through controlling the user side and controlling the automatic inspection robot to go to a storehouse to take medicines according to the treatment scheme and add the medicines into a trough corresponding to the livestock.
8. The poultry house environment inspection and control method according to claim 7, further comprising:
and when the specific abnormal state is not in accordance with the first state, the specific abnormal state and the first state are fed back to the user side.
9. The utility model provides a poultry house environment is patrolled and examined and regulation and control equipment which characterized in that, equipment includes:
an information acquisition module: the system comprises a robot, a data acquisition module, a data processing module and a data processing module, wherein the robot is used for acquiring target livestock information, real-time image information and sound sent by the automatic inspection robot;
a model conversion module: inputting the real-time image information into an active shape model to obtain a first state of the livestock;
a sound analysis module: analyzing the sound and matching the sound with the audio frequency of a database to obtain whether the state of the livestock is a first state;
an alarm module: and when the state of the livestock is the first state, generating and playing a warning message and sending the target livestock information and the first state to a user side.
10. A medium storing an executable program which, when executed, implements the aviary environment inspection and control method according to any one of claims 1 to 8.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114545832A (en) * | 2022-03-02 | 2022-05-27 | 江西增鑫科技股份有限公司 | Livestock inspection method and system |
| WO2023216172A1 (en) * | 2022-05-12 | 2023-11-16 | 智逐科技股份有限公司 | Poultry voiceprint recognition method and system |
Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN205511477U (en) * | 2016-01-13 | 2016-08-31 | 成都天森饲料设备制造有限公司 | Feeding system of plant |
| CN106625681A (en) * | 2017-02-23 | 2017-05-10 | 福建强闽信息科技有限公司 | Aquatic animal disease diagnosis robot device and implementation method |
| CN108029600A (en) * | 2018-01-16 | 2018-05-15 | 广东联芯智能科技有限公司 | Culture diseases early warning robot and its application method |
| CN108052964A (en) * | 2017-12-05 | 2018-05-18 | 翔创科技（北京）有限公司 | Livestock condition detection method, computer program, storage medium and electronic equipment |
| CN108596014A (en) * | 2018-01-30 | 2018-09-28 | 邓昌顺 | Livestock behavior analysis method and device |
| CN109042379A (en) * | 2018-06-29 | 2018-12-21 | 山东华夏维康农牧科技有限公司 | A kind of cultivation robot, cultivating system and cultural method |
| CN208924926U (en) * | 2018-07-25 | 2019-06-04 | 深圳市优特普科技有限公司 | A kind of interactive animal-breeding robot |
| KR101961311B1 (en) * | 2018-07-18 | 2019-07-17 | 강동완 | Disease Prediction and Notification System for Livestock |
| CN110348349A (en) * | 2019-07-01 | 2019-10-18 | 河南牧业经济学院 | A kind of method and system collected, analyze pig behavior video data |
| CN110415220A (en) * | 2019-07-09 | 2019-11-05 | 国电大渡河瀑布沟发电有限公司 | A kind of device intelligence method for inspecting of large hydropower station |
| CN209964923U (en) * | 2019-05-13 | 2020-01-21 | 北京佳沃天河智能科技有限公司 | Automatic change pig house |
| CN111248103A (en) * | 2020-01-09 | 2020-06-09 | 洛阳语音云创新研究院 | Livestock estrus detection method, device and equipment |
| CN111467074A (en) * | 2020-05-18 | 2020-07-31 | 北京海益同展信息科技有限公司 | Method and device for detecting the state of animals |
| CN111680551A (en) * | 2020-04-28 | 2020-09-18 | 平安国际智慧城市科技股份有限公司 | Method and device for monitoring livestock quantity, computer equipment and storage medium |
| KR102168641B1 (en) * | 2020-02-27 | 2020-10-21 | 동양정보서비스(주) | System and Method for managing barn |
| CN212071964U (en) * | 2020-03-27 | 2020-12-04 | 牧原食品股份有限公司 | Ground inspection robot |
| CN112466000A (en) * | 2020-09-23 | 2021-03-09 | 国网上海市电力公司 | Inspection system based on power inspection robot and inspection control method |
-
2021
- 2021-03-30 CN CN202110340889.8A patent/CN113219964A/en active Pending
Patent Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN205511477U (en) * | 2016-01-13 | 2016-08-31 | 成都天森饲料设备制造有限公司 | Feeding system of plant |
| CN106625681A (en) * | 2017-02-23 | 2017-05-10 | 福建强闽信息科技有限公司 | Aquatic animal disease diagnosis robot device and implementation method |
| CN108052964A (en) * | 2017-12-05 | 2018-05-18 | 翔创科技（北京）有限公司 | Livestock condition detection method, computer program, storage medium and electronic equipment |
| CN108029600A (en) * | 2018-01-16 | 2018-05-15 | 广东联芯智能科技有限公司 | Culture diseases early warning robot and its application method |
| CN108596014A (en) * | 2018-01-30 | 2018-09-28 | 邓昌顺 | Livestock behavior analysis method and device |
| CN109042379A (en) * | 2018-06-29 | 2018-12-21 | 山东华夏维康农牧科技有限公司 | A kind of cultivation robot, cultivating system and cultural method |
| KR101961311B1 (en) * | 2018-07-18 | 2019-07-17 | 강동완 | Disease Prediction and Notification System for Livestock |
| CN208924926U (en) * | 2018-07-25 | 2019-06-04 | 深圳市优特普科技有限公司 | A kind of interactive animal-breeding robot |
| CN209964923U (en) * | 2019-05-13 | 2020-01-21 | 北京佳沃天河智能科技有限公司 | Automatic change pig house |
| CN110348349A (en) * | 2019-07-01 | 2019-10-18 | 河南牧业经济学院 | A kind of method and system collected, analyze pig behavior video data |
| CN110415220A (en) * | 2019-07-09 | 2019-11-05 | 国电大渡河瀑布沟发电有限公司 | A kind of device intelligence method for inspecting of large hydropower station |
| CN111248103A (en) * | 2020-01-09 | 2020-06-09 | 洛阳语音云创新研究院 | Livestock estrus detection method, device and equipment |
| KR102168641B1 (en) * | 2020-02-27 | 2020-10-21 | 동양정보서비스(주) | System and Method for managing barn |
| CN212071964U (en) * | 2020-03-27 | 2020-12-04 | 牧原食品股份有限公司 | Ground inspection robot |
| CN111680551A (en) * | 2020-04-28 | 2020-09-18 | 平安国际智慧城市科技股份有限公司 | Method and device for monitoring livestock quantity, computer equipment and storage medium |
| CN111467074A (en) * | 2020-05-18 | 2020-07-31 | 北京海益同展信息科技有限公司 | Method and device for detecting the state of animals |
| CN112466000A (en) * | 2020-09-23 | 2021-03-09 | 国网上海市电力公司 | Inspection system based on power inspection robot and inspection control method |
Non-Patent Citations (4)
| Title |
|---|
| 周丽萍;陈志;陈达;苑严伟;李亚硕;郑建华;: "基于改进Otsu算法的生猪热红外图像耳根特征区域检测", 农业机械学报, vol. 47, no. 04, pages 228 - 232 * |
| 周丽萍;陈达;陈志;苑严伟;王丽丽;孙小文;: "基于图像处理的生猪耳部颜色异常检测技术", 农业机械学报, vol. 48, no. 04, pages 166 - 172 * |
| 张苏楠: "基于视频跟踪与多模型声音识别的猪行为检测与分析", 中国优秀硕士学位论文全文数据库信息科技辑, vol. 2016, no. 08, pages 138 - 1312 * |
| 李翔宇，刘涛: "认识5G+", vol. 978, 31 May 2020, 机械工业出版社, pages: 84 - 86 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114545832A (en) * | 2022-03-02 | 2022-05-27 | 江西增鑫科技股份有限公司 | Livestock inspection method and system |
| WO2023216172A1 (en) * | 2022-05-12 | 2023-11-16 | 智逐科技股份有限公司 | Poultry voiceprint recognition method and system |
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