CN114287357A - Intelligent live pig breeding service platform - Google Patents

Intelligent live pig breeding service platform Download PDF

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Publication number
CN114287357A
CN114287357A CN202111648105.4A CN202111648105A CN114287357A CN 114287357 A CN114287357 A CN 114287357A CN 202111648105 A CN202111648105 A CN 202111648105A CN 114287357 A CN114287357 A CN 114287357A
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China
Prior art keywords
breeding
management
live pig
management area
live
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CN202111648105.4A
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Chinese (zh)
Inventor
谢正军
马帅
欧阳张智
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TWINS (GROUP) CO Ltd
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TWINS (GROUP) CO Ltd
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Priority to CN202111648105.4A priority Critical patent/CN114287357A/en
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Abstract

The invention discloses an intelligent live pig breeding service platform which comprises a human-computer interaction interface and a breeding management area, wherein the breeding management area is provided with a first management area, a plurality of second management areas and a detection area. The first management area is responsible for centralized management live pig, and the detection zone weighs and body temperature measurement and discernment live pig to reach the management portion of feeding with weight data, body temperature data passes to treatment management portion, formulates corresponding feeding scheme and treatment scheme. The cultivation management part formulates a cultivation plan according to the feeding scheme and the treatment scheme. And the second management areas are used for managing the live pigs which are suitable for different breeding plans in a partitioning manner. According to the invention, a plurality of breeding plans are formulated for the live pigs with different weights and body temperatures, so that the live pigs grow more scientifically and more efficiently, and a larger benefit is brought to farmers.

Description

Intelligent live pig breeding service platform
Technical Field
The invention relates to a management technology, in particular to an intelligent live pig breeding service platform.
Background
In recent years, the number of live pigs in the stock stall in China generally shows an increasing trend, and with the expansion of the live pig breeding scale, a pure artificial breeding mode is not suitable, so that the intelligent live pig breeding mode is greatly promoted along with the arrival of the world of everything interconnection. US11055633B2 discloses a method of farming management. The method comprises the following steps: the reader communicates with the radio frequency identification tags over the ultra high frequency band to collect input data including data identifying the animal to which each RFID tag is coupled at the feedlot, as well as the health, feed, and pedigree characteristics of the animal prior to arrival at the feedlot. In addition, the farming management method may also identify specific animals in the farm that are at risk for health changes. However, this method only realizes the detection of animal health condition, and cannot provide a targeted breeding management scheme. In view of this, there is a need for further improvements in the prior art.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides an intelligent live pig breeding service platform, which provides a classified breeding scheme aiming at the growth condition of animals, improves the efficiency of large-scale breeding and avoids cross infection.
The utility model provides an intelligence live pig breeding service platform which characterized in that includes:
the RFID tag is fixed on the ear of a live pig, has an identity corresponding to any live pig, and can identify the age and state information of the live pig;
the first management area is used for centrally managing the live pigs;
the second management areas are used for breeding and treating live pigs, and each second management area is provided with a corresponding address mark and a breeding number;
the detection area is connected with the first management area and any second management area and is provided with a live pig identification unit which identifies any live pig according to the RFID label;
the first database is used for storing the mapping relation between the feeding scheme and the weight and age of the live pigs;
the second database stores the mapping relation between the treatment scheme and the body temperature and the state of the live pigs;
the feeding management part is used for extracting a feeding scheme according to the weight and the age of the live pig, the feeding management part is connected to the integrated sensor unit, and the weight sensor unit is arranged in the detection area;
the treatment management part is used for extracting a treatment scheme according to the body temperature and the state of the live pig, and is connected to a body temperature sensing unit which is arranged in the detection area;
the cultivation management part generates a cultivation plan according to the feeding scheme and the treatment scheme, maps the cultivation plan to the address identifier of the second management area, and modifies the cultivation quantity of the second management area, wherein the cultivation plan comprises an identity identifier, a feed requirement and an additive requirement;
an equipment control part for opening the detection area and the channel corresponding to the second management area according to the address identification mapped with the culture plan,
if the address identifier which is mapped with the cultivation plan and the cultivation quantity is less than the capacity threshold value exists, the cultivation plan is mapped to the address identifier, and if the address identifier which is mapped with the cultivation plan and the cultivation quantity is less than the capacity threshold value does not exist, the cultivation plan is mapped to a new address identifier.
In the invention, a cultivation schedule is generated according to a cultivation plan of the same second management area, and the cultivation schedule comprises daily feed usage and daily additive usage.
In the invention, the breeding quantity is the weight of the live pigs in a second management area, and the capacity threshold is the maximum weight of the live pigs born by the second management area.
In the invention, the intelligent live pig breeding service platform further comprises a third database, and the third database is used for storing the mapping relation between the breeding plan and the address identification.
In the invention, the intelligent live pig breeding service platform further comprises a human-computer interaction interface, wherein the human-computer interaction interface is used for displaying the breeding quantity of each second management area and adjusting the capacity threshold of each second management area.
In the invention, the body temperature detection unit is a thermal infrared probe.
In the present invention, the treatment management part is further connected to a camera unit, and the camera unit is fixed in the detection area.
In the invention, the second management area is provided with a plurality of environment monitoring units, and the environment monitoring units comprise CO2Monitoring sensor, NH3Monitoring sensor, temperature sensor, humidity transducer and luminance inductor.
According to the intelligent live pig breeding service platform, a farmer can control the capacity threshold value through a human-computer interaction interface, and a breeding plan suitable for different live pigs is made by measuring the weight data and the body temperature data of the live pigs, so that each live pig with the body weight and the body temperature corresponds to the breeding plan, the growth of the live pigs is accelerated, and the breeding efficiency is improved.
Drawings
FIG. 1 is an overall framework of the present invention;
FIG. 2 is a connection diagram of the components;
FIG. 3 is a diagram illustrating a second management area;
FIG. 4 is a plan view showing cultivation.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention.
As shown in figure 1, the intelligent live pig breeding service platform is composed of two parts, namely a human-computer interaction interface and a breeding management area. The human-computer interaction interface is used for displaying the culture quantity of each second management area and adjusting the capacity threshold of each second management area (the capacity threshold is set to be 10 heads in the embodiment). The first management area is arranged in the breeding management area and used for centrally managing the live pigs, the second management areas are used for breeding and treating the live pigs, and each second management area is provided with a corresponding address mark and a breeding number. A detection area, as shown in fig. 2, the detection area contains a live pig identification unit for identifying a live pig to obtain the age and state information of the live pig, an integrated re-sensing unit for weighing the live pig, transmitting the weight data of the live pig to a feeding management part, the feeding management part making a corresponding feeding scheme according to the weight of the live pig and the live pig age comparison weight table, and storing the weight of the live pig, the age of the live pig and the corresponding feeding scheme in a first database. The integrated temperature sensing unit measures the body temperature of the live pigs, body temperature data are transmitted to the treatment management part, the treatment management part compares the received body temperature data with the state information of the live pigs with a thermometer, and a corresponding treatment method, body temperature data, the state information of the live pigs and a corresponding treatment scheme are formulated and stored in the second database. The breeding management part formulates a corresponding breeding plan through a feeding scheme provided by the feeding management part and a treatment scheme provided by the treatment management part, maps the breeding plan to a certain second management area, and stores the relation between the breeding plan and the address identification in a third database.
The specific implementation steps of the invention are as follows,
firstly, a first management area, a detection area and a plurality of second management areas are established in a breeding management area, and the first management area and the second management area have corresponding address identifiers and breeding quantities. The first management area and the detection area are connected with a channel in the second management areas, so that the pigs can flow among the first management area, the detection area and the second management areas after the channel valve is opened. The following two tables are established according to the weight range of the live pigs and the body temperature standard of the live pigs in each state:
weight scale
7 days old 1.7-2.5 kg 13 days old 2.5-3 kg 21-day-old 5-6 kg 7.5-9 kg at 28-day age
11-13 kg at age of 40 days 15-17 kg at 48 days old 19-21 kg at age of 57 days 23-26 kg of 67-day-old animals
30-34 kg for 81 days old 38-42 kg for 92 days old 48-53 kg at age of 106 days 59-65 kg for 119 days
70-75 kg for 132 days old 143-day old 80-85 kg 154-day old 90-95 kg 100-kg for 164 days old
Thermometer
The body temperature of the newly born piglet was 39 deg.C The body temperature 1 hour after birth was 36.8 deg.C At 38 deg.C 12 hours after birth Reaches 38.6 ℃ after 24 hours of birth
The body temperature of pregnant sows was 38.7 deg.C The body temperature 24 hours prior to birth of the sow was 38.7 deg.C The body temperature 12 hours before delivery was 38.9 deg.C The body temperature 6 hours before delivery was 39 deg.C
The body temperature was 39.7 ℃ at 12 hours postpartum The body temperature 24 hours after delivery was 40 deg.C One day after weaning is 38.6 deg.C The body temperature of a weaned pig (body weight 9-18 kg) was 39.3 deg.C
The body temperature of the breeding boar is generally 38.4 DEG C The body temperature of the fattening pig (weight 45-90 kg) is 38.8 DEG C The body temperature of a shelf-pig (weight 27-45 kg) was 39 deg.C The temperature of the sow from one week after delivery to weaning is 39.3 DEG C
The first management area performs centralized management on the live pigs. Live pigs newly entering the management area are disinfected uniformly in the first management area, so that the possibility of infectious diseases is reduced. The fixed RFID label in each live pig's ear, can know the serial number of each live pig through the fixed label of every live pig, can in time discern the live pig to catch up the live pig to breed in corresponding breed planned second management area after passing through the detection zone. All the live pigs entering the second management area are intensively driven to the first management area every month, all the live pigs are disinfected, then each live pig passes through the detection area again, and after passing through the detection area, the live pigs enter the second management area corresponding to the breeding plan.
A plurality of functional units, a live pig identification unit, a weight sensing unit and a body temperature sensing unit are established in a detection area, the live pig identification unit identifies any one live pig through an RFID tag fixed on the ear of the live pig, and the age and state information of the live pig are obtained. The weight sensing unit obtains the weight of the live pig through the weight sensor, and the body temperature sensing unit obtains the body temperature data of the live pig through the temperature sensor (in the embodiment, the temperature sensor adopts a thermal infrared probe).
In the invention, four parts are established, namely a feeding management part, a treatment management part, a culture management part and an equipment management part. The feeding management part is connected with the weight sensing unit and the breeding management part in the detection area, when a live pig passes through the detection area, the weight sensing unit obtains the weight data of the live pig through the weight sensor, then the obtained weight data of the live pig is transmitted to the feeding management part, the feeding management part formulates a corresponding feeding scheme according to the weight data of the live pig and a live pig age comparison weight table, the weight of the live pig, the live pig age and the corresponding feeding scheme are stored in the first database, the first database is connected with a human-computer interaction interface (the human-computer interaction interface selected for use in the embodiment is displayed on a screen), and a farmer can directly access the first database through the human-computer interaction interface to obtain the feeding schemes corresponding to different live pigs. The treatment management part is connected with the body temperature sensing unit and the breeding management part in the detection area, the heat-sensitive infrared probe in the body temperature sensing unit detects the body temperature data of the live pig when the live pig passes through the detection area, the body temperature sensing unit transmits the detected body temperature data of the live pig to the treatment management part, the treatment management part makes a corresponding treatment scheme according to the body temperature data of the live pig and the state information of the live pig in comparison with a body temperature table, the body temperature data of the live pig, the state information of the live pig and the corresponding treatment scheme are stored in the second database, and a farmer can directly access the second database through a human-computer interaction interface to obtain the treatment schemes corresponding to different live pigs. The treatment management part is also connected with a camera unit, the camera is fixed in the detection area, and farmers can access the camera unit through a human-computer interaction interface to observe whether abnormal conditions occur when pigs pass through the detection area.
The cultivation management part generates a cultivation plan after obtaining the feeding scheme formulated by the feeding management part and the treatment scheme formulated by the treatment management part, maps the cultivation plan to the address identification of the second management area, and modifies the cultivation quantity of the second management area. If the address mark mapped with the cultivation plan and the cultivation quantity is smaller than the capacity threshold value exists, the cultivation plan is mapped to the address mark, and if the address mark mapped with the cultivation plan and the cultivation quantity is smaller than the capacity threshold value does not exist, the cultivation plan is mapped to a new address mark. For example, a certain live pig in a first management area is captured randomly and made to pass through a detection area, weight data and body temperature data of the live pig are measured by a weight sensing unit and a body temperature sensing unit in the detection area respectively, the weight data is 56kg, the body temperature data is 39.8 ℃, a feeding management part works out a feeding scheme according to the weight data, a treatment management part works out a treatment scheme according to the body temperature data, a breeding management part works out a breeding plan according to the feeding scheme and the treatment scheme, and the breeding plan is mapped to an address identifier of a second management area. And if the breeding plan of a certain second management area in the plurality of second management areas is the same as the mapped breeding plan, judging whether the breeding number of the second management area is smaller than a capacity threshold value, if so, driving the detected live pigs to the second management area, and if not, mapping the breeding plan to a new second management area address identifier, and driving the live pigs to the new second management area.
And storing the mapping relation between the cultivation plan and the corresponding address identification in a third database. The formulated breeding plan comprises the identity of the live pig, the feed requirement and the additive requirement. The feed requirement is formulated through a feeding scheme, one live pig feeds a proper amount of feed according to the weight and age of the live pig, the additive requirement is formulated according to a treatment scheme, and available additives comprise rumen bacteroides powder, lactobacillus casei powder and the like. The equipment management part controls valves of the middle channels of the first management area, the detection area and the second management areas. When the live pigs need to pass through the channel, the device management part controls the channel valve to be opened, and after the live pigs pass through the channel, the channel valve is controlled to be closed.
The second management area is shown in fig. 3, taking the second management area No. 1 as an example, a breeding schedule is arranged in front of the second management area, and farmers feed and breed pigs in the corresponding second management area through the set breeding schedule. Making the same breeding plan for live pigs in the same weight range, generating a breeding plan table according to the breeding plan, wherein the breeding plan table is shown in figure 4, and packagingThe corresponding number of the second management area is included, the weight range suitable for the live pigs is used, and the feed amount and the addition amount used per day are also included. A plurality of environment monitoring units, CO, are arranged in the second management area2Monitoring sensor, NH3Monitoring sensor, temperature sensor, humidity sensor and luminance sensor. The environment monitoring units monitor the environment data in the second management areas and project data values on the human-computer interaction interface, farmers can observe the environment data of the second management areas in real time through the human-computer interaction interface to judge the environment of the second management areas, and the environment data are processed in time when abnormal.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principles of the present invention are intended to be included within the scope of the present invention.

Claims (8)

1. The utility model provides an intelligence live pig breeding service platform which characterized in that includes:
the RFID tag is fixed on the ear of a live pig, has an identity corresponding to any live pig, and can identify the age and state information of the live pig;
the first management area is used for centrally managing the live pigs;
the second management areas are used for breeding and treating live pigs, and each second management area is provided with a corresponding address mark and a breeding number;
the detection area is connected with the first management area and any second management area and is provided with a live pig identification unit which identifies any live pig according to the RFID label;
the first database is used for storing the mapping relation between the feeding scheme and the weight and age of the live pigs;
the second database stores the mapping relation between the treatment scheme and the body temperature and the state of the live pigs;
the feeding management part is used for extracting a feeding scheme according to the weight and the age of the live pig, the feeding management part is connected to the integrated sensor unit, and the weight sensor unit is arranged in the detection area;
the treatment management part is used for extracting a treatment scheme according to the body temperature and the state of the live pig, and is connected to a body temperature sensing unit which is arranged in the detection area;
the cultivation management part generates a cultivation plan according to the feeding scheme and the treatment scheme, maps the cultivation plan to the address identifier of the second management area, and modifies the cultivation quantity of the second management area, wherein the cultivation plan comprises an identity identifier, a feed requirement and an additive requirement;
an equipment control part for opening the detection area and the channel corresponding to the second management area according to the address identification mapped with the culture plan,
if the address identifier which is mapped with the cultivation plan and the cultivation quantity is less than the capacity threshold value exists, the cultivation plan is mapped to the address identifier, and if the address identifier which is mapped with the cultivation plan and the cultivation quantity is less than the capacity threshold value does not exist, the cultivation plan is mapped to a new address identifier.
2. The intelligent live pig breeding service platform according to claim 1, wherein a breeding schedule is generated according to a breeding schedule of a same second management area, and the breeding schedule comprises daily feed usage and daily additive usage.
3. The intelligent pig breeding service platform according to claim 1, wherein the breeding quantity is the weight of the pigs in a second management area, and the capacity threshold is the maximum weight of the pigs in the second management area.
4. The intelligent pig breeding service platform according to claim 1, further comprising a third database, wherein the third database is used for storing a mapping relationship between a breeding plan and an address identifier.
5. The intelligent pig breeding service platform according to claim 1, further comprising a human-machine interaction interface, wherein the human-machine interaction interface is used for displaying the breeding quantity of each second management area and adjusting the capacity threshold of each second management area.
6. The intelligent live pig breeding service platform according to claim 1, wherein the body temperature detection unit is a thermal infrared probe.
7. The intelligent live pig breeding service platform as claimed in claim 1, wherein the treatment management part is further connected to a camera unit, and the camera unit is fixed in the detection area.
8. The intelligent pig breeding service platform of claim 1, wherein the second management area is provided with a plurality of environment monitoring units, and the environment monitoring units comprise CO2Monitoring sensor, NH3Monitoring sensor, temperature sensor, humidity transducer and luminance inductor.
CN202111648105.4A 2021-12-31 2021-12-31 Intelligent live pig breeding service platform Pending CN114287357A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115968810A (en) * 2023-03-21 2023-04-18 双胞胎(集团)股份有限公司 Identification method and identification system for sick and epidemic pigs
CN116257102A (en) * 2023-05-15 2023-06-13 厦门农芯数字科技有限公司 Digital twin pig farm based remote control system and control method

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CN108040886A (en) * 2017-11-03 2018-05-18 江苏大学 A kind of intensive live pig healthy aquaculture intelligence system and method based on Internet of Things
CN109062129A (en) * 2018-08-23 2018-12-21 江苏大学 A kind of live pig feeding remote monitoring system and its control method based on web
US20190183096A1 (en) * 2017-12-19 2019-06-20 Premex, Inc. Method and System for Real-Time Livestock Management
CN111011301A (en) * 2019-12-20 2020-04-17 巨星农牧股份有限公司 Intelligent pig breeding community
CN111670834A (en) * 2020-07-11 2020-09-18 霍祥明 Big data-based intelligent detection and management system for pig breeding and growth health
CN112219749A (en) * 2020-11-02 2021-01-15 华中科技大学同济医学院附属协和医院 Animal feeding intelligent management system and method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108040886A (en) * 2017-11-03 2018-05-18 江苏大学 A kind of intensive live pig healthy aquaculture intelligence system and method based on Internet of Things
US20190183096A1 (en) * 2017-12-19 2019-06-20 Premex, Inc. Method and System for Real-Time Livestock Management
CN109062129A (en) * 2018-08-23 2018-12-21 江苏大学 A kind of live pig feeding remote monitoring system and its control method based on web
CN111011301A (en) * 2019-12-20 2020-04-17 巨星农牧股份有限公司 Intelligent pig breeding community
CN111670834A (en) * 2020-07-11 2020-09-18 霍祥明 Big data-based intelligent detection and management system for pig breeding and growth health
CN112219749A (en) * 2020-11-02 2021-01-15 华中科技大学同济医学院附属协和医院 Animal feeding intelligent management system and method

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115968810A (en) * 2023-03-21 2023-04-18 双胞胎(集团)股份有限公司 Identification method and identification system for sick and epidemic pigs
CN116257102A (en) * 2023-05-15 2023-06-13 厦门农芯数字科技有限公司 Digital twin pig farm based remote control system and control method
CN116257102B (en) * 2023-05-15 2023-12-26 厦门农芯数字科技有限公司 Digital twin pig farm based remote control system and control method

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