CN113456055A - Poultry respiratory tract real-time monitoring system based on artificial intelligence - Google Patents
Poultry respiratory tract real-time monitoring system based on artificial intelligence Download PDFInfo
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- CN113456055A CN113456055A CN202110756570.3A CN202110756570A CN113456055A CN 113456055 A CN113456055 A CN 113456055A CN 202110756570 A CN202110756570 A CN 202110756570A CN 113456055 A CN113456055 A CN 113456055A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/0823—Detecting or evaluating cough events
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
- G10L25/66—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for extracting parameters related to health condition
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
- A61B2503/40—Animals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q2209/00—Arrangements in telecontrol or telemetry systems
- H04Q2209/40—Arrangements in telecontrol or telemetry systems using a wireless architecture
Abstract
The invention relates to the technical field of poultry respiratory tract monitoring, in particular to an artificial intelligence-based poultry respiratory tract real-time monitoring system, which comprises a poultry farm, a poultry respiratory tract database, a training group, a testing group and a detection group, wherein the poultry respiratory tract data are acquired and grouped; carrying out data annotation, wherein the RHI index is manually adopted to carry out data annotation and classification on the poultry respiratory symptoms by extracting training group data in a poultry respiratory database, and the data annotation is divided into snore, cough, wheezing and screaming; establishing a prediction model by using a deep learning algorithm, and training and optimizing by extracting test group data in a poultry respiratory database; training a prediction model by extracting detection group data in a poultry respiratory tract database; detecting field real-time data by using a prediction model, and monitoring and comparing in real time; and wirelessly transmitting the detected data to a service terminal.
Description
Technical Field
The invention relates to the technical field of poultry respiratory tract monitoring, in particular to a poultry respiratory tract real-time monitoring system based on artificial intelligence.
Background
At present, the traditional domestic breeding technology is laggard behind, the diagnosis of respiratory diseases of poultry depends on the individual breeding experience, and the method is very subjective and has no scientific and data basis. The diagnosis of people has no unified standard and is not treated according to different conditions, the conventional solution of people is to apply a large amount of pesticide and vaccine to the livestock, and the breeding mode causes unhealthy livestock, environmental protection and increase of breeding cost. Due to the vicious circle, the cultivation efficiency is low, the cultivation yield is low, and the cultivation profit is low.
Disclosure of Invention
The technical problem to be solved by the invention is to provide an artificial intelligence-based poultry respiratory tract real-time monitoring system, which helps a client to diagnose the respiratory tract health state of poultry, and utilizes big data to ensure that the judgment of the respiratory tract is accurate, objective and uniform, so as to realize early detection and early treatment, improve ventilation, relieve epidemic situations, administer medicines according to different conditions, and reduce dead chickens through strict management of the respiratory tract, thereby improving breeding efficiency, saving cost and providing healthy food for the consumer.
In order to solve the technical problems, the invention adopts the following technical scheme:
an artificial intelligence-based poultry respiratory tract real-time monitoring method comprises the following steps:
collecting poultry respiratory tract data in a poultry farm, grouping the collected data, and establishing a poultry respiratory tract database for a training group, a testing group and a detecting group respectively;
carrying out data annotation, wherein the RHI index is manually adopted to carry out data annotation and classification on the poultry respiratory symptoms by extracting training group data in a poultry respiratory database, and the data annotation is divided into snore, cough, wheezing and screaming;
establishing a prediction model by using a deep learning algorithm, and training and optimizing by extracting test group data in a poultry respiratory database;
training a prediction model by extracting detection group data in a poultry respiratory tract database;
detecting field real-time data by using a prediction model, and monitoring and comparing in real time;
and wirelessly transmitting the detected data to a service terminal.
Further, the RHI index is a poultry respiratory tract symptom grade index, the poultry respiratory tract symptom grade comprises 0 grade, 1 grade, 2 grade, 3 grade, 4 grade and 5 grade, and each poultry respiratory tract symptom grade corresponds to a normal, mild, moderate, severe and explosive form respectively.
A poultry respiratory track real-time monitoring device based on artificial intelligence, it includes:
the control system comprises a shell, a control host, a storage battery, a wireless transmission device, a sound signal collector and a transmission antenna, wherein the control host, the storage battery, the wireless transmission device and the sound signal collector are all installed in the shell, the transmission antenna is electrically connected with the wireless transmission device, the transmission antenna is installed at the top of the shell, and the storage battery, the wireless transmission device and the sound signal collector are all electrically connected with the control host.
Furthermore, the shell is provided with a plurality of sound signal collecting holes corresponding to the sound signal collector.
Furthermore, a status indicator lamp is embedded on the front end surface of the shell and electrically connected with the control host.
The invention has the beneficial effects that: during the in-service use, carry out 24 hours recording based on artificial intelligence poultry respiratory tract real-time supervision device every day, with the respiratory symptom of poultry: the poultry management system is characterized in that snore, cough, wheeze, screaming and the like are collected and classified, and the respiratory conditions of poultry every day are finally sent to a service terminal in the form of a graph and a table through wireless transmission, so that a client can check data every day in real time, can check historical data, review the past and predict the future. The utility model provides a poultry respiratory track real-time supervision system help customer diagnoses the respiratory track health status of poultry based on artificial intelligence, the application big data lets accurate objective and the unity of judgement of respiratory track to realize early treatment of discovery, through improving the ventilation, alleviate the epidemic situation, the different conditions are corresponding to the case and are sent medicine, reduce dead chicken through the strict management to the respiratory track, thereby improve breeding efficiency, save the cost, provide healthy food for the consumer.
Drawings
FIG. 1 is a flow chart of a method for monitoring poultry respiratory tract in real time based on artificial intelligence according to the present invention;
fig. 2 is a schematic structural diagram of an artificial intelligence-based poultry respiratory tract real-time monitoring device according to the present invention.
Description of reference numerals: the sound signal acquisition device comprises a shell 1, a sound signal acquisition hole 11, a state indicator lamp 12 and a transmission antenna 2.
Detailed Description
In order to facilitate understanding of those skilled in the art, the present invention will be further described with reference to the following examples and drawings, which are not intended to limit the present invention.
As shown in figure 1, the invention provides an artificial intelligence-based poultry respiratory tract real-time monitoring method, which comprises the following steps of
Collecting poultry respiratory tract data in a poultry farm, grouping the collected data, and establishing a poultry respiratory tract database for a training group, a testing group and a detecting group respectively;
carrying out data annotation, wherein the RHI index is manually adopted to carry out data annotation and classification on the poultry respiratory symptoms by extracting training group data in a poultry respiratory database, and the data annotation is divided into snore, cough, wheezing and screaming;
establishing a prediction model by using a deep learning algorithm, and training and optimizing by extracting test group data in a poultry respiratory database;
training a prediction model by extracting detection group data in a poultry respiratory tract database;
detecting field real-time data by using a prediction model, and monitoring and comparing in real time;
and wirelessly transmitting the detected data to a service terminal.
In the present example, as shown in fig. 1, the RHI index is a poultry respiratory symptom grade index, and the poultry respiratory symptom grades include 0 grade, 1 grade, 2 grade, 3 grade, 4 grade and 5 grade, and each poultry respiratory symptom grade corresponds to normal, mild, moderate, severe and burst forms respectively.
As shown in fig. 2, the poultry respiratory tract real-time monitoring device based on artificial intelligence provided by the invention comprises a shell 1, a control host, a storage battery, a wireless transmission device, a sound signal collector and a transmission antenna 2, wherein the control host, the storage battery, the wireless transmission device and the sound signal collector are all installed inside the shell 1, the transmission antenna 2 is electrically connected with the wireless transmission device, the transmission antenna 2 is installed at the top of the shell 1, and the storage battery, the wireless transmission device and the sound signal collector are all electrically connected with the control host. During the in-service use, casing 1 is used for the device of erection joint, and casing 1 hangs when using and establishes the top at the poultry, and the main control system is used for controlling the device of connection to the poultry respiratory track sound that the sound signal collector gathered is handled, and passes through wireless transmission device wireless transmission to service terminal with the data after handling, and the customer of being convenient for looks over, and the battery is used for supplying power to this device, and transmission antenna 2 is used for improving wireless transmission device's transmission stability.
As shown in fig. 2, in this embodiment, the housing 1 is provided with a plurality of sound signal collecting holes 11 corresponding to the sound signal collector. In actual use, the sound signal collector collects the respiratory tract sound of the poultry through the sound signal collecting holes 11.
As shown in fig. 2, in the present embodiment, a status indicator lamp 12 is further embedded in the front end surface of the housing 1, and the status indicator lamp 12 is electrically connected to the control host. In actual use, the status indicator lamp 12 is used for displaying the current working status of the device.
All the technical features in the embodiment can be freely combined according to actual needs.
The above embodiments are preferred implementations of the present invention, and other implementations are also included, and any obvious substitutions are within the scope of the present invention without departing from the spirit of the present invention.
Claims (5)
1. A poultry respiratory tract real-time monitoring method based on artificial intelligence is characterized in that:
collecting poultry respiratory tract data in a poultry farm, grouping the collected data, and establishing a poultry respiratory tract database for a training group, a testing group and a detecting group respectively;
carrying out data annotation, wherein the RHI index is manually adopted to carry out data annotation and classification on the poultry respiratory symptoms by extracting training group data in a poultry respiratory database, and the data annotation is divided into snore, cough, wheezing and screaming;
establishing a prediction model by using a deep learning algorithm, and training and optimizing by extracting test group data in a poultry respiratory database;
training a prediction model by extracting detection group data in a poultry respiratory tract database;
detecting field real-time data by using a prediction model, and monitoring and comparing in real time;
and wirelessly transmitting the detected data to a service terminal.
2. The artificial intelligence based poultry respiratory tract real-time monitoring method according to claim 1, characterized in that: the RHI index is a poultry respiratory tract symptom grade index, the poultry respiratory tract symptom grades comprise 0 grade, 1 grade, 2 grade, 3 grade, 4 grade and 5 grade, and each poultry respiratory tract symptom grade corresponds to normal, mild, moderate, severe and explosive forms respectively.
3. The utility model provides a poultry respiratory track real-time supervision device based on artificial intelligence which characterized in that: including casing, main control system, battery, wireless transmission device, sound signal collector and transmission antenna, main control system, battery, wireless transmission device and sound signal collector all install in the inside of casing, and transmission antenna and wireless transmission device electricity are connected, and transmission antenna installs in the top of casing, and battery, wireless transmission device and sound signal collector all are connected with main control system electricity.
4. The artificial intelligence based poultry respiratory tract real-time monitoring device according to claim 3, characterized in that: the shell is provided with a plurality of sound signal collecting holes corresponding to the sound signal collector.
5. The artificial intelligence based poultry respiratory tract real-time monitoring device according to claim 3, characterized in that: and a state indicator lamp is further embedded on the front end surface of the shell and is electrically connected with the control host.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202110756570.3A CN113456055A (en) | 2021-07-05 | 2021-07-05 | Poultry respiratory tract real-time monitoring system based on artificial intelligence |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110756570.3A CN113456055A (en) | 2021-07-05 | 2021-07-05 | Poultry respiratory tract real-time monitoring system based on artificial intelligence |
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| CN109009129A (en) * | 2018-08-20 | 2018-12-18 | 南京农业大学 | Sow respiratory disease method for early warning based on acoustic analysis |
| CN109243470A (en) * | 2018-08-16 | 2019-01-18 | 南京农业大学 | Broiler chicken cough monitoring method based on Audiotechnica |
| CN109602421A (en) * | 2019-01-04 | 2019-04-12 | 平安科技（深圳）有限公司 | Health monitor method, device and computer readable storage medium |
| CN110444230A (en) * | 2019-07-04 | 2019-11-12 | 南京农业大学 | A kind of chickens respiratory disease automatic identification equipment based on Audiotechnica |
| CN111028862A (en) * | 2019-12-17 | 2020-04-17 | 北京海益同展信息科技有限公司 | Method, apparatus, computer device and storage medium for processing voice data |
| CN112164408A (en) * | 2020-10-26 | 2021-01-01 | 南京农业大学 | Pig coughing sound monitoring and early warning system based on deep learning |
| CN112562739A (en) * | 2020-11-20 | 2021-03-26 | 山东泛在智能科技有限公司 | Large-scale feeding type broiler respiratory disease sound data analysis system |
-
2021
- 2021-07-05 CN CN202110756570.3A patent/CN113456055A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106847262A (en) * | 2016-12-28 | 2017-06-13 | 华中农业大学 | A kind of porcine respiratory disease automatic identification alarm method |
| CN109243470A (en) * | 2018-08-16 | 2019-01-18 | 南京农业大学 | Broiler chicken cough monitoring method based on Audiotechnica |
| CN109009129A (en) * | 2018-08-20 | 2018-12-18 | 南京农业大学 | Sow respiratory disease method for early warning based on acoustic analysis |
| CN109602421A (en) * | 2019-01-04 | 2019-04-12 | 平安科技（深圳）有限公司 | Health monitor method, device and computer readable storage medium |
| CN110444230A (en) * | 2019-07-04 | 2019-11-12 | 南京农业大学 | A kind of chickens respiratory disease automatic identification equipment based on Audiotechnica |
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