CN112568183A - Poultry breeding and seed selection system and method based on Internet of things - Google Patents
Poultry breeding and seed selection system and method based on Internet of things Download PDFInfo
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- A—HUMAN NECESSITIES
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- A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K67/00—Rearing or breeding animals, not otherwise provided for; New or modified breeds of animals
- A01K67/02—Breeding vertebrates
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K35/00—Marking poultry or other birds
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K43/00—Testing, sorting or cleaning eggs ; Conveying devices ; Pick-up devices
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
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- A01K45/00—Other aviculture appliances, e.g. devices for determining whether a bird is about to lay
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Abstract
The invention belongs to the technical field of poultry breeding and discloses a poultry breeding and seed selection system and a seed selection method based on the Internet of things, wherein the poultry breeding and seed selection system based on the Internet of things comprises: the poultry breeding system comprises a poultry identification module, a poultry sign detection module, a poultry feeding detection module, an environmental data monitoring module, an egg laying frequency monitoring module, an egg laying characteristic detection module, a server module, an information extraction and preprocessing module, a central processing and control module, a grade evaluation module and a seed selection decision module. The invention constructs a poultry breeding and seed selection system by using the Internet of things technology, can assist in obtaining massive basic data required by breeding and seed selection by identifying and numbering poultry, monitoring growth signs and growth environment of the poultry in real time by various sensors with different functions and a wireless sensor network, improves the efficiency and accuracy of data collection in a breeding process, and can collect process data of breeding poultry required by enterprise breeding decision analysis at any time.
Description
Technical Field
The invention belongs to the technical field of poultry breeding, and particularly relates to a poultry breeding and seed selection system and method based on the Internet of things.
Background
At present, the excellent variety is one of the most important material bases for developing the modern animal husbandry and improving the market competitiveness of livestock and poultry products, and the key factor for improving the production level of the livestock and poultry is the variety. China is a large country for animal husbandry production and animal product consumption, but the market competitiveness of poultry products is not strong, and the important reason is that the ability of cultivating improved varieties of poultry is not strong. At present, the domestic varieties used in the livestock husbandry production in China are foreign modern commercial varieties, and a great amount of foreign currencies are needed to introduce improved varieties of poultry from foreign countries every year. In China, the national brands of the poultry commercial varieties which have independent intellectual property rights and great market competitiveness and influence are few or even none. The developed countries of livestock husbandry abroad are currently around or even monopolizing the development direction of livestock husbandry and markets in China.
The developed countries of animal husbandry such as Europe and America begin to breed poultry commercially in the true sense in the early fifties of the last century, and the high-yield specialized varieties bred by the countries have become the main varieties of the animal husbandry in the world, and the high-yield specialized varieties mainly grow fast or yield, can greatly improve the yield and efficiency of the animal husbandry, are suitable for intensive operation of capital and technology, and are very suitable for the economic environment and animal husbandry market demands in the early reforming development period of the eighties of China.
With the rapid development of economy in China, the supply and demand relationship of product consumption markets is greatly changed, the demand of people on animal food is changed from quantity type to quality type, the quality requirement on the animal food is higher and higher, and the single varieties cannot meet the demand abroad. And many local poultry varieties in China not only have the excellent characteristics of good meat quality, unique flavor, early maturity and the like, but also have stronger disease resistance and stress resistance, thereby being very suitable for the requirements of consumers. However, in the conventional poultry breeding and seed selection process, the poultry breeding and seed selection system is mainly completed by hands, and timeliness and accuracy cannot be guaranteed at all, so that data of the breeding and seed selection system is unreliable, and scientific poultry breeding and seed selection cannot be well completed.
Through the above analysis, the problems and defects of the prior art are as follows:
(1) the real-time performance of the individual data acquisition of the breeding poultry in the existing breeding and seed selection process is poor, and the requirement on data accuracy cannot be met.
(2) The frequency of collecting individual data of breeding poultry in the existing breeding and seed selection process is too low, sample data is too little, and the requirement of scientific breeding and seed selection cannot be met.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a poultry breeding and seed selection system and method based on the Internet of things.
The invention is realized in such a way that the poultry breeding and seed selection method based on the Internet of things comprises the following steps:
firstly, poultry needing breeding and seed selection are raised in groups, the poultry in different breeding cages are numbered by using electronic identification tags through a poultry identification module, the number information and initial physical sign data of the poultry are written into RFID tags, the RFID tags are worn on the body surfaces of the poultry, and an RFID reader-writer is connected with a rear-end controller;
step two, sending a response request to the RFID tag through the RFID reader-writer, and then waiting for the response of the RFID tag; the RFID radio frequency identification tag receives the request information and responds in a response time slot corresponding to the section to which the RFID radio frequency identification tag belongs, and the RFID radio frequency identification reader-writer returns a receiving result to the rear-end controller after receiving the response information to identify and number the poultry;
thirdly, detecting and collecting the physical sign data of the poultry through a plurality of sensors with different functions in a poultry physical sign detection module, detecting the feeding weight and frequency of the poultry through a poultry feeding detection module, collecting various data of the growth environment of the poultry through a plurality of environment detection sensors with different functions in an environment data monitoring module, and storing the various collected data in a network server;
detecting and collecting the laying time and times of the poultry through visual detection equipment in the laying frequency monitoring module, detecting and collecting the appearance state and weight of the hatching eggs through visual detection equipment and weight detection equipment in the hatching egg characteristic detection module, and storing various collected information in a network server;
fifthly, carrying out image acquisition on the appearance image of the hatching egg through an industrial camera, and carrying out gray level and noise reduction processing on the acquired image; judging whether the collected hatching egg image has crack defects or not by a short-time Fourier transform technology; detecting the quality of the hatching eggs through a weight detector, and synchronously storing detection information into a background server to correspond to the identification numbers;
extracting the collected data stored in the server through an information extraction and preprocessing module, collecting log data, acquiring log data with different sources, scanning and dividing each piece of collected log information into field sequences, and storing the field sequences in a database;
preprocessing the log data to remove redundant data and obtain effective data, removing redundant data from the network equipment log and the system log, and respectively storing the redundant data in corresponding databases; associating and fusing multi-source log data, establishing an association rule base according to the collected network equipment log and log data in a system log database, preprocessing the extracted information, and simplifying the extracted information;
processing and analyzing information collected by each module of the poultry breeding and seed selection system based on the Internet of things by using a central processing unit through a central processing and control module; evaluating and grading the poultry breeding grade according to the data collected by each module through a grade evaluation module; and determining the seed selection of the poultry through a seed selection decision module according to different seed selection requirements and grade evaluation results.
Further, in the first step, the method for identifying and numbering the poultry by using the electronic identification tag through the poultry identification module further includes:
(1) poultry information and identification numbers of the contained RFID tags are input into a database, so that the poultry corresponds to the identification numbers of the RFID tags;
(2) and the rear-end controller selects one RFID tag as a representative tag to participate in the identification number by selecting the random seeds according to the RFID tag identification number.
Further, in the fifth step, the method for judging whether crack defects exist in the collected hatching egg image by using the short-time fourier transform technology includes:
(1) beating hatching eggs; picking up the sound response of the beaten hatching eggs, amplifying the sound response, and converting the sound response into a digital signal through an A/D converter;
(2) according to the selected short-time Fourier transform length, sequentially carrying out short-time Fourier transform on each section of sound signal by taking time as a sequence, and transforming the sound signal on the original time domain to a frequency domain to obtain frequency information of the sound signal on each time point;
(3) and respectively taking time and frequency as coordinate axes, establishing a two-dimensional coordinate system, drawing amplitude information of each frequency component at each time point to obtain a two-dimensional frequency signal distribution graph, and judging whether the hatching egg has cracks or not according to a two-dimensional graph mode of the two-dimensional frequency signal distribution graph.
Further, the length of the short-time fourier transform is determined according to the duration of the hatching egg sound signal and the sampling frequency used by the a/D converter.
Further, in step seven, the method for preprocessing log data includes:
(1) removing redundant attribute data of each piece of log information: according to the log data of each source, extracting and storing the attribute fields needing to be reserved in each log information in a regular expression matching mode according to the preset attribute fields needing to be reserved;
(2) removing log information with property values out of range: filtering out data beyond a range according to a preset range of an attribute value of a certain attribute;
(3) and unifying the formats of the log data from different sources, and converting all the log data into the same format according to the attribute required by each piece of log information in the preset unified format.
Another object of the present invention is to provide an internet of things-based poultry breeding and seed selection system using the internet of things-based poultry breeding and seed selection method, the internet of things-based poultry breeding and seed selection system comprising:
the poultry identification module is connected with the central processing and control module and is used for identifying and numbering poultry through the electronic identification tag;
the poultry sign detection module is connected with the central processing and control module and is used for detecting and collecting the poultry sign data through various sensors with different functions;
the poultry feeding detection module is connected with the central processing and control module and is used for detecting the feeding weight and frequency of the poultry;
the environment data monitoring module is connected with the central processing and control module and is used for collecting various data of the growth environment of the poultry through environment detection sensors with various different functions;
the egg laying frequency monitoring module is connected with the central processing and controlling module and is used for detecting and collecting the egg laying time and times of the poultry through visual detection equipment;
the hatching egg characteristic detection module is connected with the central processing and control module and is used for detecting and collecting the appearance state and the weight of the hatching egg through visual detection equipment and weight detection equipment;
the server module is connected with the central processing and control module and used for storing preset seed selection standard parameters and the acquired data of each module through a network server;
the information extraction and pretreatment module is connected with the central processing and control module and is used for extracting the acquired data stored in the server and pretreating the extracted information;
the central processing and control module is connected with the poultry identification module, the poultry sign detection module, the poultry feeding detection module, the environmental data monitoring module, the egg laying frequency monitoring module, the egg laying characteristic detection module, the server module, the information extraction and preprocessing module, the grade evaluation module and the seed selection decision module, and is used for processing and analyzing the information acquired by each module of the poultry breeding seed selection system based on the Internet of things through the central processing unit;
the grade evaluation module is connected with the central processing and control module and is used for evaluating and grading the poultry breeding grade according to the data collected by each module;
and the seed selection decision module is connected with the central processing and control module and is used for determining the seed selection of the poultry according to different seed selection requirements and grade evaluation results.
Further, the poultry sign detection module comprises:
the weight detection unit is used for detecting and collecting the weight data of the poultry through the weight detector;
the size detection unit is used for detecting and collecting the overall size data of the poultry through the infrared sensor;
and the body temperature detection unit is used for detecting and collecting body temperature data of the poultry through the body temperature sensor.
Further, the environmental data monitoring module includes:
the air quality detection unit is used for detecting the air quality of the environment where the poultry is located through the air quality detector;
the temperature detection unit is used for detecting the temperature of the growing environment of the poultry through a temperature detection sensor;
the humidity detection unit is used for detecting the humidity of the growth environment where the poultry are located through a humidity detection sensor;
and the space detection unit is used for detecting the area of the activity space of the poultry through the distance detection sensor.
It is another object of the present invention to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for implementing the internet of things based poultry breeding selection method when executed on an electronic device.
It is another object of the present invention to provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the method for poultry breeding and seed selection based on the internet of things.
By combining all the technical schemes, the invention has the advantages and positive effects that: the poultry breeding and seed selecting system based on the Internet of things provided by the invention is constructed by utilizing the Internet of things technology, and can assist in obtaining mass basic data required by breeding and seed selecting by marking and numbering poultry, monitoring growth signs and growth environment of the poultry in real time through various sensors with different functions and a wireless sensor network, so that the efficiency and accuracy of data collection in a breeding process are improved, and the process data of breeding poultry required by breeding decision analysis of enterprises can be collected at any time, thereby fundamentally ensuring the scientificity of poultry breeding, remarkably improving the production efficiency and having great significance for the enterprises.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
Fig. 1 is a flow chart of a poultry breeding and seed selection method based on the internet of things provided by the embodiment of the invention.
FIG. 2 is a block diagram of a poultry breeding and seed selection system based on the Internet of things according to an embodiment of the present invention;
in the figure: 1. a poultry identification module; 2. a poultry sign detection module; 3. a poultry feeding detection module; 4. an environmental data monitoring module; 5. an egg laying frequency monitoring module; 6. an egg characteristic detection module; 7. a server module; 8. an information extraction and preprocessing module; 9. a central processing and control module; 10. a grade evaluation module; 11. and a seed selection decision module.
Fig. 3 is a flow chart of a method for identifying and numbering poultry according to an embodiment of the present invention.
Fig. 4 is a flowchart of a method for detecting and collecting the appearance state and weight of a hatching egg according to an embodiment of the present invention.
Fig. 5 is a flowchart of a method for preprocessing extracted information according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following 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.
Aiming at the problems in the prior art, the invention provides a poultry breeding and seed selection system and a seed selection method based on the Internet of things, and the invention is described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the poultry breeding and seed selection method based on the internet of things provided by the embodiment of the invention comprises the following steps:
s101, feeding the poultry needing breeding and seed selection in groups, and identifying and numbering the poultry by using an electronic identification tag through a poultry identification module;
s102, detecting and collecting physical sign data of the poultry through various sensors with different functions in a poultry physical sign detection module, and detecting the feeding weight and frequency of the poultry through a poultry feeding detection module;
s103, collecting various data of the growth environment of the poultry through various environment detection sensors with different functions in the environment data monitoring module, and storing the collected data in a network server;
s104, detecting and collecting the laying time and times of the poultry through visual detection equipment in the laying frequency monitoring module, detecting and collecting the appearance state and weight of the hatching eggs through visual detection equipment and weight detection equipment in the hatching egg characteristic detection module, and storing various collected information in a network server;
s105, extracting the acquired data stored in the server through the information extraction and preprocessing module, preprocessing the extracted information, and simplifying the extracted information;
s106, processing and analyzing information collected by each module of the poultry breeding and seed selection system based on the Internet of things by using a central processing unit through a central processing and control module;
s107, evaluating and grading the poultry breeding grade through a grade evaluation module according to the data collected by each module; and determining the seed selection of the poultry through a seed selection decision module according to different seed selection requirements and grade evaluation results.
As shown in fig. 2, the poultry breeding and seed selection system based on the internet of things provided by the embodiment of the present invention includes: the poultry breeding system comprises a poultry identification module 1, a poultry sign detection module 2, a poultry feeding detection module 3, an environmental data monitoring module 4, an egg laying frequency monitoring module 5, an egg laying characteristic detection module 6, a server module 7, an information extraction and preprocessing module 8, a central processing and control module 9, a grade evaluation module 10 and a seed selection decision module 11.
The poultry identification module 1 is connected with the central processing and control module 9, and identifies and numbers the poultry through an electronic identification tag, so that the poultry can be conveniently searched and classified;
the poultry sign detection module 2 is connected with the central processing and control module 9, and detects and collects the poultry sign data through various sensors with different functions to comprehensively know the poultry sign conditions;
the poultry feeding detection module 3 is connected with the central processing and control module 9, and is used for detecting and recording the feeding weight and frequency of the poultry and archiving the poultry;
the environment data monitoring module 4 is connected with the central processing and control module 9, collects various data of the growth environment where the poultry is located through environment detection sensors with various different functions, and records the influence of the growth environment on the growth of the poultry;
the egg laying frequency monitoring module 5 is connected with the central processing and control module 9, detects and collects the egg laying time and times of the poultry through visual detection equipment, and observes whether the eggs laying of the poultry is normal or not through comparison;
the hatching egg characteristic detection module 6 is connected with the central processing and control module 9, and is used for detecting and collecting the appearance state and the weight of the hatching egg through visual detection equipment and weight detection equipment and archiving the hatching egg;
the server module 7 is connected with the central processing and control module 9, and stores preset seed selection standard parameters and acquired data of each module through a network server, so that data can be conveniently consulted and integrated;
the information extraction and pretreatment module 8 is connected with the central processing and control module 9, extracts the acquired data stored in the server, and pretreats the extracted information, so that the data can be further processed conveniently;
the central processing and control module 9 is connected with the poultry identification module 1, the poultry sign detection module 2, the poultry feeding detection module 3, the environmental data monitoring module 4, the egg laying frequency monitoring module 5, the egg characteristics detection module 6, the server module 7, the information extraction and preprocessing module 8, the grade evaluation module 10 and the seed selection decision module 11, and is used for processing and analyzing information collected by each module of the poultry breeding seed selection system based on the internet of things through a central processing unit;
the grade evaluation module 10 is connected with the central processing and control module 9, evaluates and grades the poultry breeding grade according to the data collected by each module, and has different uses according to different evaluation grades;
the seed selection decision module 11 is connected with the central processing and control module 9, and determines the seed selection of the poultry according to different seed selection requirements and grade evaluation results, so as to ensure the purity and health of the varieties.
The poultry sign detection module in the embodiment of the invention comprises:
the weight detection unit is used for detecting and collecting the weight data of the poultry through the weight detector;
the size detection unit is used for detecting and collecting the overall size data of the poultry through the infrared sensor;
and the body temperature detection unit is used for detecting and collecting body temperature data of the poultry through the body temperature sensor.
The environmental data monitoring module in the embodiment of the invention comprises:
the air quality detection unit is used for detecting the air quality of the environment where the poultry is located through the air quality detector;
the temperature detection unit is used for detecting the temperature of the growing environment of the poultry through a temperature detection sensor;
the humidity detection unit is used for detecting the humidity of the growth environment where the poultry are located through a humidity detection sensor;
and the space detection unit is used for detecting the area of the activity space of the poultry through the distance detection sensor.
The invention is further described with reference to specific examples.
Example 1
As shown in fig. 1 and fig. 3, the method for poultry breeding and seed selection based on the internet of things according to the embodiment of the present invention includes, as a preferred embodiment, a method for identifying and numbering poultry by using an electronic identification tag through a poultry identification module, which includes:
s201, numbering poultry in different breeding cages, writing numbering information and initial physical sign data of the poultry into RFID tags, and wearing the RFID tags on the body surfaces of the poultry;
s202, the RFID reader-writer is connected with the rear-end controller, the RFID reader-writer sends a response request to the RFID tag, and then waits for the response of the RFID tag;
and S203, the RFID tag receives the request information and responds in the corresponding response time slot of the corresponding segment, and the RFID reader-writer receives the response information and then transmits the receiving result back to the back-end controller.
The method for identifying and numbering poultry by using the electronic identification tag through the poultry identification module provided by the embodiment of the invention further comprises the following steps:
(1) poultry information and identification numbers of the contained RFID tags are input into a database, so that the poultry corresponds to the identification numbers of the RFID tags;
(2) and the rear-end controller selects one RFID tag as a representative tag to participate in the identification number by selecting the random seeds according to the RFID tag identification number.
Example 2
As shown in fig. 1 and fig. 4, the method for poultry breeding and seed selection based on the internet of things provided by the embodiment of the present invention for detecting and collecting the appearance state and weight of a hatching egg by using a visual detection device and a weight detection device in a hatching egg feature detection module includes:
s301, carrying out image acquisition on the appearance image of the hatching egg through an industrial camera, and carrying out gray level and noise reduction processing on the acquired image;
s302, judging whether crack defects exist in the collected hatching egg images through a short-time Fourier transform technology;
and S303, detecting the quality of the hatching eggs through a weight detector, and synchronously storing the detection information into a background server to correspond to the identification number.
The method for judging whether the crack defect exists in the collected hatching egg image through the short-time Fourier transform technology comprises the following steps:
(1) beating hatching eggs; picking up the sound response of the beaten hatching eggs, amplifying the sound response, and converting the sound response into a digital signal through an A/D converter;
(2) according to the selected short-time Fourier transform length, sequentially carrying out short-time Fourier transform on each section of sound signal by taking time as a sequence, and transforming the sound signal on the original time domain to a frequency domain to obtain frequency information of the sound signal on each time point;
(3) and respectively taking time and frequency as coordinate axes, establishing a two-dimensional coordinate system, drawing amplitude information of each frequency component at each time point to obtain a two-dimensional frequency signal distribution graph, and judging whether the hatching egg has cracks or not according to a two-dimensional graph mode of the two-dimensional frequency signal distribution graph.
The length of the short-time Fourier transform is determined according to the duration of the hatching egg sound signal and the sampling frequency used by the A/D converter.
Example 3
The poultry breeding and seed selection method based on the internet of things provided by the embodiment of the invention is shown in fig. 1, and as a preferred embodiment, as shown in fig. 5, the method for preprocessing the extracted information provided by the embodiment of the invention comprises the following steps:
s401, collecting log data, acquiring log data from various sources, scanning and dividing each piece of collected log information into field sequences, and storing the field sequences in a database;
s402, data preprocessing is performed, wherein the data preprocessing is used for removing redundant data to obtain effective data, removing the redundant data from the network equipment log and the system log and respectively storing the redundant data in corresponding databases;
and S403, associating and fusing multi-source log data, and establishing an association rule base according to the acquired network equipment log and the log data in the system log database.
The method for preprocessing the log data provided by the embodiment of the invention comprises the following steps:
(1) removing redundant attribute data of each piece of log information: according to the log data of each source, extracting and storing the attribute fields needing to be reserved in each log information in a regular expression matching mode according to the preset attribute fields needing to be reserved;
(2) removing log information with property values out of range: filtering out data beyond a range according to a preset range of an attribute value of a certain attribute;
(3) and unifying the formats of the log data from different sources, and converting all the log data into the same format according to the attribute required by each piece of log information in the preset unified format.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, and any modification, equivalent replacement, and improvement made by those skilled in the art within the technical scope of the present invention disclosed herein, which is within the spirit and principle of the present invention, should be covered by the present invention.
Claims (10)
1. The poultry breeding and seed selection method based on the Internet of things is characterized by comprising the following steps:
firstly, poultry needing breeding and seed selection are raised in groups, the poultry in different breeding cages are numbered by using electronic identification tags through a poultry identification module, the number information and initial physical sign data of the poultry are written into RFID tags, the RFID tags are worn on the body surfaces of the poultry, and an RFID reader-writer is connected with a rear-end controller;
step two, sending a response request to the RFID tag through the RFID reader-writer, and then waiting for the response of the RFID tag; the RFID radio frequency identification tag receives the request information and responds in a response time slot corresponding to the section to which the RFID radio frequency identification tag belongs, and the RFID radio frequency identification reader-writer returns a receiving result to the rear-end controller after receiving the response information to identify and number the poultry;
thirdly, detecting and collecting the physical sign data of the poultry through a plurality of sensors with different functions in a poultry physical sign detection module, detecting the feeding weight and frequency of the poultry through a poultry feeding detection module, collecting various data of the growth environment of the poultry through a plurality of environment detection sensors with different functions in an environment data monitoring module, and storing the various collected data in a network server;
detecting and collecting the laying time and times of the poultry through visual detection equipment in the laying frequency monitoring module, detecting and collecting the appearance state and weight of the hatching eggs through visual detection equipment and weight detection equipment in the hatching egg characteristic detection module, and storing various collected information in a network server;
fifthly, carrying out image acquisition on the appearance image of the hatching egg through an industrial camera, and carrying out gray level and noise reduction processing on the acquired image; judging whether the collected hatching egg image has crack defects or not by a short-time Fourier transform technology; detecting the quality of the hatching eggs through a weight detector, and synchronously storing detection information into a background server to correspond to the identification numbers;
extracting the collected data stored in the server through an information extraction and preprocessing module, collecting log data, acquiring log data with different sources, scanning and dividing each piece of collected log information into field sequences, and storing the field sequences in a database;
preprocessing the log data to remove redundant data and obtain effective data, removing redundant data from the network equipment log and the system log, and respectively storing the redundant data in corresponding databases; associating and fusing multi-source log data, establishing an association rule base according to the collected network equipment log and log data in a system log database, preprocessing the extracted information, and simplifying the extracted information;
processing and analyzing information collected by each module of the poultry breeding and seed selection system based on the Internet of things by using a central processing unit through a central processing and control module; evaluating and grading the poultry breeding grade according to the data collected by each module through a grade evaluation module; and determining the seed selection of the poultry through a seed selection decision module according to different seed selection requirements and grade evaluation results.
2. The internet of things-based poultry breeding and seed selection method according to claim 1, wherein in the first step, the method for identifying and numbering poultry by using electronic identification tags through a poultry identification module further comprises:
(1) poultry information and identification numbers of the contained RFID tags are input into a database, so that the poultry corresponds to the identification numbers of the RFID tags;
(2) and the rear-end controller selects one RFID tag as a representative tag to participate in the identification number by selecting the random seeds according to the RFID tag identification number.
3. The internet of things-based poultry breeding and seed selection method of claim 1, wherein in the fifth step, the method for judging whether crack defects exist in the collected hatching egg images through a short-time Fourier transform technology comprises the following steps:
(1) beating hatching eggs; picking up the sound response of the beaten hatching eggs, amplifying the sound response, and converting the sound response into a digital signal through an A/D converter;
(2) according to the selected short-time Fourier transform length, sequentially carrying out short-time Fourier transform on each section of sound signal by taking time as a sequence, and transforming the sound signal on the original time domain to a frequency domain to obtain frequency information of the sound signal on each time point;
(3) and respectively taking time and frequency as coordinate axes, establishing a two-dimensional coordinate system, drawing amplitude information of each frequency component at each time point to obtain a two-dimensional frequency signal distribution graph, and judging whether the hatching egg has cracks or not according to a two-dimensional graph mode of the two-dimensional frequency signal distribution graph.
4. An internet of things based poultry breeding and seed selection method as claimed in claim 3, characterized in that the length of the short time Fourier transform is determined according to the duration of the hatching egg sound signal and the sampling frequency used by the A/D converter.
5. An internet of things-based poultry breeding and seed selection method according to claim 1, wherein in the seventh step, the method for preprocessing log data comprises:
(1) removing redundant attribute data of each piece of log information: according to the log data of each source, extracting and storing the attribute fields needing to be reserved in each log information in a regular expression matching mode according to the preset attribute fields needing to be reserved;
(2) removing log information with property values out of range: filtering out data beyond a range according to a preset range of an attribute value of a certain attribute;
(3) and unifying the formats of the log data from different sources, and converting all the log data into the same format according to the attribute required by each piece of log information in the preset unified format.
6. An internet-of-things-based poultry breeding and seed selection system applying the internet-of-things-based poultry breeding and seed selection method according to any one of claims 1 to 5, wherein the internet-of-things-based poultry breeding and seed selection system comprises:
the poultry identification module is connected with the central processing and control module and is used for identifying and numbering poultry through the electronic identification tag;
the poultry sign detection module is connected with the central processing and control module and is used for detecting and collecting the poultry sign data through various sensors with different functions;
the poultry feeding detection module is connected with the central processing and control module and is used for detecting the feeding weight and frequency of the poultry;
the environment data monitoring module is connected with the central processing and control module and is used for collecting various data of the growth environment of the poultry through environment detection sensors with various different functions;
the egg laying frequency monitoring module is connected with the central processing and controlling module and is used for detecting and collecting the egg laying time and times of the poultry through visual detection equipment;
the hatching egg characteristic detection module is connected with the central processing and control module and is used for detecting and collecting the appearance state and the weight of the hatching egg through visual detection equipment and weight detection equipment;
the server module is connected with the central processing and control module and used for storing preset seed selection standard parameters and the acquired data of each module through a network server;
the information extraction and pretreatment module is connected with the central processing and control module and is used for extracting the acquired data stored in the server and pretreating the extracted information;
the central processing and control module is connected with the poultry identification module, the poultry sign detection module, the poultry feeding detection module, the environmental data monitoring module, the egg laying frequency monitoring module, the egg laying characteristic detection module, the server module, the information extraction and preprocessing module, the grade evaluation module and the seed selection decision module, and is used for processing and analyzing the information acquired by each module of the poultry breeding seed selection system based on the Internet of things through the central processing unit;
the grade evaluation module is connected with the central processing and control module and is used for evaluating and grading the poultry breeding grade according to the data collected by each module;
and the seed selection decision module is connected with the central processing and control module and is used for determining the seed selection of the poultry according to different seed selection requirements and grade evaluation results.
7. An internet of things based poultry breeding and selection system according to claim 6, wherein the poultry sign detection module comprises:
the weight detection unit is used for detecting and collecting the weight data of the poultry through the weight detector;
the size detection unit is used for detecting and collecting the overall size data of the poultry through the infrared sensor;
and the body temperature detection unit is used for detecting and collecting body temperature data of the poultry through the body temperature sensor.
8. An internet of things based poultry breeding and seed selection system as claimed in claim 6, wherein the environmental data monitoring module comprises:
the air quality detection unit is used for detecting the air quality of the environment where the poultry is located through the air quality detector;
the temperature detection unit is used for detecting the temperature of the growing environment of the poultry through a temperature detection sensor;
the humidity detection unit is used for detecting the humidity of the growth environment where the poultry are located through a humidity detection sensor;
and the space detection unit is used for detecting the area of the activity space of the poultry through the distance detection sensor.
9. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for implementing the internet of things based poultry breeding selection method of any one of claims 1-5 when executed on an electronic device.
10. A computer readable storage medium storing instructions which, when executed on a computer, cause the computer to perform the internet of things based poultry breeding selection method of any one of claims 1 to 5.
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