Goose growth performance automatic determination method and data management system
By automatically identifying and recording the changes in feed intake and weight of gooses, combined with the data management system, the time-consuming and labor-consuming selection and breeding of meat goose feed conversion efficiency in the existing technology is solved, efficient automated measurement and data management are achieved, and breeding speed and efficiency are significantly improved.
Patent Information
- Application Number
- CN202411879411.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-19
- Publication Date
- 2025-04-11
AI Technical Summary
In the prior art, the breeding of meat goose feed conversion efficiency requires the determination of the feed intake and weight gain of each goose. Manual operation is time-consuming and labor-intensive, and the number of measurements is limited, resulting in a long breeding time.
An automatic measurement method and data management system for the growth performance of goose is adopted to automatically identify goose through electronic tags, record feeding time and feed weight, automatically fed feed and record weight changes, organize and analyze data, and generate measurement reports.
It realizes automated large-batch measurement of feed conversion efficiency of goose, reduces manual operation time, improves measurement efficiency and data accuracy, and significantly accelerates the selection and breeding speed of meat goose.
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Figure CN119809120A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of goose growth performance measurement, in particular to an automatic goose growth performance measurement method and a data management system. Background Art
[0002] Goose growth performance measurement is the process of quantifying and evaluating various performance indicators of geese during their growth and development. Goose growth performance measurement is of great significance to the goose farming industry. It can help breeders understand the growth status of geese, evaluate the feeding and management effects, and provide a scientific basis for formulating reasonable feeding and management strategies, thereby improving the production efficiency and economic benefits of the goose farming industry.
[0003] In the prior art, the breeding of meat geese for feed conversion efficiency requires measuring the feed intake and weight gain of each goose. The actual manual operation is very time-consuming and labor-intensive, and the number of measurements at one time is very limited, resulting in a long breeding time. For this reason, we proposed an automatic measurement method for goose growth performance and a data management system to solve the above problems. Summary of the invention
[0004] The purpose of the present invention is to solve the problem that the breeding of meat geese feed conversion efficiency in the prior art requires measuring the feed intake and weight gain of each goose, the actual manual operation is very time-consuming and labor-intensive, the number of measurements at one time is very limited, resulting in a long breeding time, and an automatic measurement method for goose growth performance and a data management system are proposed.
[0005] The present application provides a method for automatically measuring goose growth performance and a data management system that adopts the following technical solutions:
[0006] A method for automatically measuring goose growth performance comprises the following steps:
[0007] S1: Automatically identify the geese with electronic tags;
[0008] S2: Record the feeding time and feed weight of the geese;
[0009] S3: Record the weight of the goose after eating;
[0010] S4: Refill the feed trough and record the feed in the trough;
[0011] S5: Organize and analyze the collected data;
[0012] S6: Generate a measurement report based on the data analysis results.
[0013] The present invention also proposes an automatic measurement data management system for goose growth performance, comprising: a measurement station, the measurement station is connected to a central control data receiving system, the central control data receiving system is connected to a computer, the computer is connected to a server, the server is connected to a data management system, and the data management system is connected to a measurement and evaluation module.
[0014] Furthermore, the measuring station includes an antenna module, an automatic feeding module, an automatic feed weighing module, an automatic body weight weighing module, a gate module, a control module and a display screen module.
[0015] Furthermore, the central control data receiving module includes a microcontroller module, a touch screen module and a communication interface module, the microcontroller module is connected to the touch screen module, and the touch screen module is connected to the communication interface module.
[0016] Furthermore, the data management system includes an equipment management module, a measurement management module, a data management module, a raw data module, an individual data module, a group data module, an alarm setting module, an abnormal event module and an operation record module.
[0017] Furthermore, the control module includes a main control chip unit, a power supply unit, a weighing unit, an RFID card reader unit, a storage unit, a motor drive unit and a touch screen drive unit.
[0018] Furthermore, the data management system is used to count, analyze and manage growth performance measurement data, and the functions implemented include: establishing mathematical models related to feeding activities, feed consumption, weight gain, growth rate, feed-to-meat ratio, etc., receiving data sent by the device to form a data file, establishing a database, using database technology and the established mathematical model to process the data file, and displaying the results in the form of graphs or tables, etc., and can be exported; the system statistically records the measurement station number, weight, feed intake, feeding time, etc. of all measured geese each time they feed, and calculates the average daily weight gain, average daily feed intake, total weight gain, total feed intake, feed conversion rate, etc. of individuals or groups, automatically queues the feed conversion rates of all measured geese, and provides growth performance data basis for goose breeding and selection. The equipment management module is used to create the measurement station number on the software side, set the measurement station parameters, view the measurement station status, set the scheduled task to receive data from the central control data receiving system, or manually click to receive data in the software interface of this module.
[0019] Furthermore, the measurement management module is used to enter the start date and end date of the measurement, set individual self-numbered codes for geese in batches, eliminate abnormal data during the measurement process, such as sick or dead geese, and exclude them from the system data statistical analysis. The data management module is used to perform local backup of data and remote server backup of data.
[0020] Furthermore, the raw data module is used to record the station number, entry time, exit time, weight and feed intake of each goose each time it enters the station to feed. Each time a goose enters the station to feed, a record is generated, namely a feeding event. The feeding event data is raw data and cannot be changed. In addition to recording feeding events, it also includes an error log report, which mainly reports the station number, time, error type and other data when an unexpected event occurs at the measuring station. This report records the time and type of system failure, which can be used for daily management or when collating measurement data. The error log is used to verify the abnormal data (power outage, lack of feed, equipment abnormality, etc.) that occurred during the measurement process, so that management personnel can correct the abnormal data more scientifically and accurately. The individual data module is used to statistically analyze the number of measurement days, total feeding times, average feeding times, daily feeding times, total feed intake, average feed intake, daily feed intake, total feeding time, daily feeding time, average feeding time, starting weight, ending weight, total weight gain, average weight gain, daily weight gain, and feed conversion rate of each individual goose during the measurement period, and to rank the feed conversion rate of each individual goose.
[0021] Furthermore, the group data module is used to statistically analyze the group measurement data of geese, which is the same as the indicators for statistical analysis of individual geese. The alarm setting module is used to warn of abnormal situations, to warn of situations where geese have eaten feed but the geese with electronic tags cannot be identified, to warn of geese that have not had any eating events for more than 1 day, and to warn of situations that exceed the normal feeding amount range, normal feeding frequency range, and normal weight range. The abnormal event module is used to allocate the feeding amount of geese whose electronic tags cannot be identified to geese that have no feeding events, and to allocate by judging whether the weight of geese whose electronic tags cannot be identified is similar to that of geese without feeding events. The operation record module is used to record the operations of logging into the software system and deleting data.
[0022] In summary, the present application includes at least one of the following beneficial technical effects:
[0023] 1. In this scheme, the measuring station communicates with the central control data receiving system through CAN, and sends the collected information to the central control data receiving system in this way. The central control data receiving system communicates with the computer of the measuring goose farm through the network cable based on the TCP / IP protocol, and sends the data to the computer. The computer-side data is sent to the cloud server through the network based on the TCP / IP protocol. The received data is stored in the MySQL database and is counted, analyzed and managed through the data management system;
[0024] 2. The measuring station of this scheme can feed and measure more than 20 geese. Multiple measuring stations can be placed in one measuring pen. Multiple measuring stations are generally placed close to and parallel to the pedestrian aisle of the goose house for easy management. Each measuring station is separated by a certain distance to avoid signal interference between each other.
[0025] The present invention can automatically measure the feed conversion efficiency of breeding geese in large quantities under group feeding conditions, and provide big data support for analyzing eating speed, time to reach standard weight, age, etc., which will greatly speed up the selection and breeding of meat geese, improve the quality and feed conversion rate of meat geese and the production efficiency of goose farms. BRIEF DESCRIPTION OF THE DRAWINGS
[0026] Figure 1 This is a flow chart of a method for automatically measuring goose growth performance proposed by the present invention;
[0027] Figure 2 This is a schematic diagram of the structure of a goose growth performance automatic measurement data management system proposed by the present invention;
[0028] Figure 3 This is a structural block diagram of a measuring station of a goose growth performance automatic measuring data management system proposed by the present invention;
[0029] Figure 4 This is a structural block diagram of a central control data receiving system of a goose growth performance automatic measurement data management system proposed by the present invention;
[0030] Figure 5 This is a structural block diagram of a data management system for the automatic measurement data management system for goose growth performance proposed by the present invention;
[0031] Figure 6 This is a structural block diagram of a control module of a goose growth performance automatic measurement data management system proposed by the present invention;
[0032] Figure 7 This is a measurement flow chart of a goose growth performance automatic measurement data management system proposed by the present invention;
[0033] Figure 8 The present invention provides a goose house layout diagram for the goose growth performance automatic measurement data management system. DETAILED DESCRIPTION
[0034] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.
[0035] Embodiment 1
[0036] Reference Figure 1 , a method for automatically measuring goose growth performance, comprising the following steps:
[0037] S1: When the goose with the electronic tag enters the measuring station and stands on the automatic weighing device of the measuring station to eat, the RFID recognition antenna located at the automatic weighing device of the measuring station automatically recognizes the goose wearing the leg ring electronic tag by using RFID (radio frequency identification) technology, and the control device of the measuring station records the recognized tag information;
[0038] S2: When the weighing signal on the automatic weighing device determines that a goose is standing on it, and the control device recognizes the electronic tag of the goose, the control device records the start time of feeding, and records the feed quality of the trough at this moment through the automatic weighing device of the measuring station feed. When the control device cannot read the electronic tag of the goose, and determines that the goose has left according to the weighing signal of the automatic weighing device, the control device records the end time of feeding, and records the feed weight of the trough at this moment;
[0039] S3: The automatic weight weighing device uses a weighing sensor to automatically collect weighing signals from the goose standing on it. The weighing signals are processed by the control device to obtain the weight of the goose that has eaten this time;
[0040] S4: The control device determines whether the goose has left the measuring station according to the RFID card reading signal and the signal of the automatic weighing device. If it has left, the goose's feed intake is calculated and whether the feed in the trough is lower than the minimum feed remaining amount. If it is lower than the minimum feed remaining amount, the control device controls the gate motor to move, raise the gate, and then controls the feed discharge motor to move, replenish the feed in the trough, and record the feed in the trough;
[0041] S5: Use statistical software to further analyze the data, such as correlation analysis, growth curve fitting, etc., to reveal the laws and characteristics of the growth performance of geese;
[0042] S6: Based on the data analysis results, write a measurement report, elaborate on the growth performance of the geese, interpret the measurement results, and put forward suggestions for improving feeding management and optimizing breeding strategies.
[0043] Reference Figure 2This embodiment also proposes a data management system for automatic measurement of goose growth performance, including: a measurement station, the measurement station is connected to a central control data receiving system, the central control data receiving system is connected to a computer, the computer is connected to a server, the server is connected to a data management system, the data management system is connected to a measurement evaluation module, the measurement station is placed in a measurement pen in a goose house, one measurement station can feed and measure more than 20 geese, a measurement pen can hold multiple measurement stations, and multiple measurement stations are generally placed close to and parallel to the pedestrian aisle of the goose house for easy management. Each measurement station is spaced a certain distance apart to avoid signal interference between each other, and can automatically feed geese, and at the same time collect individual identity information, feed intake, weight, feeding time, etc. of geese in group breeding. The measuring station communicates with the central control data receiving system via CAN, and sends the collected information to the central control data receiving system. The central control data receiving system communicates with the computer of the measuring goose farm through the network cable based on the TCP / IP protocol, and sends the data to the computer. The computer-side data is sent to the cloud server through the network based on the TCP / IP protocol. The received data is stored in the MySQL database and is counted, analyzed, and managed through the data management system. The measurement evaluation module is used to automatically generate an evaluation report based on the data analysis results.
[0044] Reference Figure 3-Figure 8The measuring station includes an antenna module, an automatic feeding module, an automatic feed weighing module, an automatic weight weighing module, a gate module, a control module and a display screen module. The display screen module is used to display the feed amount in the feed trough of the automatic feed weighing device and the weight information of the geese in real time. The feed scale of the automatic feed weighing device and the body scale of the automatic weight weighing device of the measuring station can be manually calibrated through the manual interactive interface of the display screen. The feeding motor of the measuring station can be driven to rotate, and the gate motor can be controlled to rise and fall. The gate module automatically rises in the following situations to limit feeding: 1. When feeding is completed, it is determined that the feed in the trough is lower than the minimum remaining amount set by the measuring station; 2. When it is in the prohibited feeding period set by the measuring station; 3. When the goose's feed intake reaches the set value for the day; 4. When feeding is completed, it is determined that the goose's feed intake per unit time is obviously abnormal. The central control data receiving module includes a microcontroller module, a touch display screen module and a communication interface module. The microcontroller module is connected to the touch display screen module. The touch display screen The module is connected with the communication interface module, and can receive the measurement data of multiple measurement stations. The display screen can set the IP address, clear the stored data, and view the communication status, the feeding events of the measurement station, and the error log of the measurement station. The data management system includes the equipment management module, the measurement management module, the data management module, the original data module, the individual data module, the group data module, the warning setting module, the abnormal event module and the operation record module. The control module includes the main control chip unit, the power supply unit, the weighing unit, the RFID card reader unit, the storage unit, the motor drive unit and the touch screen drive unit. The data management system is used to count, analyze and manage the growth performance measurement data. The functions realized include: establishing mathematical models related to feeding activities, feed consumption, weight gain, growth rate, feed-to-meat ratio, etc., receiving data sent by the device to form a data file, establishing a database, using database technology and the established mathematical model to process the data file, and displaying the results in the form of graphs or tables, etc., and can be exported;The system statistically records the measurement station number, weight, feed intake, feeding time, etc. of all the measured geese each time they feed, and calculates the average daily weight gain, average daily feed intake, total weight gain, total feed intake, feed conversion rate, etc. of individuals or groups, and automatically queues the feed conversion rates of all measured geese to provide growth performance data basis for goose breeding and selection. The equipment management module is used to create the measurement station number on the software side, set the measurement station parameters, view the measurement station status, set the scheduled task to receive data from the central control data receiving system, or manually click to receive data in the software interface of this module. The measurement management module is used to enter the measurement start date and end date, and batch set the individual geese. Self-numbered codes are used to eliminate abnormal data during the measurement process, such as sick or dead geese, which are not included in the system data statistical analysis. The data management module is used to back up the data locally and to back up the data on a remote server. The original data module is used to record the measurement station number, entry time, exit time, weight, and feed intake of each goose each time it enters the station to feed. Each time a goose enters the station to feed, a record is generated, namely a feeding event. The feeding event data is original data and cannot be changed. In addition to recording feeding events, it also includes error log reports, which mainly report the station number, time, error type, and other data when an unexpected event occurs at the measurement station. This report records system failures The time and type of the measurement can be used for daily management or to verify the abnormal data (power outage, lack of feed, equipment abnormality, etc.) that occurred during the measurement process through the error log when sorting the measurement data, so that the management personnel can correct the abnormal data more scientifically and accurately. The individual data module is used to statistically analyze the number of measurement days, total feeding times, average feeding times, daily feeding times, total feeding amount, average feeding amount, daily feeding amount, total feeding time, daily feeding time, average feeding time, starting weight, ending weight, total weight gain, average weight gain, daily weight gain, feed conversion rate of each goose during the measurement period, and rank the feed conversion rate of each individual goose. The group data module is used to statistically analyze the number of measurement days, total feeding times, average feeding times, daily feeding times, daily feeding time, average feeding time, starting weight, ending weight, total weight gain, average weight gain, daily weight gain, feed conversion rate of each goose during the measurement period. The body measurement data is the same as the indicators of individual statistical analysis of geese. The warning setting module is used to warn about abnormal situations, to warn about situations where geese have eaten feed but cannot identify geese with electronic tags, to warn about geese that have not eaten for more than 1 day, and to warn about situations that exceed the normal feeding amount range, normal feeding frequency range, and normal weight range. The abnormal event module is used to allocate the feeding amount of geese that cannot identify electronic tags to geese that have not eaten events, and to allocate by judging whether the weight of geese that cannot identify electronic tags is similar to that of geese that have not eaten events. The operation record module is used to record the operation of logging into the software system and deleting data. ;
[0045] Embodiment 2
[0046] The difference between this embodiment and the first embodiment is that the equipment management module is connected to a calibration and maintenance module, which is used to regularly calibrate and maintain the automatic measurement equipment to ensure the accuracy and stability of the equipment and avoid the equipment running in harsh environments, which may cause interference and lead to data errors.
[0047] Embodiment 3
[0048] The difference between this embodiment and the first embodiment is that the communication interface module is connected to a transmission optimization module, which is used to optimize data transmission and processing flow, and adopts high-speed and stable data transmission technology to ensure that data can be uploaded in real time.
[0049] Embodiment 4
[0050] The difference between this embodiment and the first embodiment is that the measuring station is connected with a fault monitoring module and an emergency processing module. The fault monitoring module is used to monitor the equipment status in real time, and the emergency processing module is used to automatically generate an emergency processing plan according to the fault situation.
[0051] Embodiment 5
[0052] The difference between this embodiment and the first embodiment is that the data management module is connected to the data analysis module, and the data analysis module uses advanced data analysis techniques and tools, such as big data analysis, machine learning, etc., to conduct in-depth mining and analysis of growth performance data.
[0053] Experimental example
[0054] By comparing the automatic measurement data management scheme for goose growth performance proposed in Examples 1 to 5 with the conventional measurement data management scheme, the experimental data are as follows:
[0055]
[0056] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.
Claims
1. A method for automatically measuring goose growth performance, characterized in that: The following steps are involved: S1: Automatically identify the geese with electronic tags; S2: Record the feeding time and feed weight of the geese; S3: Record the weight of the goose after eating; S4: Refill the feed trough and record the feed in the trough; S5: Organize and analyze the collected data; S6: Generate a measurement report based on the data analysis results.
2. A data management system for automatic measurement of goose growth performance, characterized in that: include: The measuring station is connected to a central control data receiving system, the central control data receiving system is connected to a computer, the computer is connected to a server, the server is connected to a data management system, and the data management system is connected to a measuring and evaluating module.
3. The automatic data management system for measuring goose growth performance according to claim 2, characterized in that: The measuring station comprises an antenna module, an automatic feeding module, an automatic feed weighing module, an automatic body weight weighing module, a gate module, a control module and a display screen module.
4. The automatic data management system for measuring goose growth performance according to claim 3 is characterized by: The central control data receiving module includes a microcontroller module, a touch screen module and a communication interface module. The microcontroller module is connected to the touch screen module, and the touch screen module is connected to the communication interface module.
5. The data management system for automatic measurement of goose growth performance according to claim 4, characterized in that: The data management system includes an equipment management module, a measurement management module, a data management module, an original data module, an individual data module, a group data module, an alarm setting module, an abnormal event module and an operation record module.
6. A goose growth performance automatic measurement data management system according to claim 5, characterized in that: The control module includes a main control chip unit, a power supply unit, a weighing unit, an RFID card reading unit, a storage unit, a motor drive unit and a touch screen drive unit.
7. The data management system for automatic measurement of goose growth performance according to claim 6, characterized in that: The data management system is used to count, analyze and manage growth performance measurement data, and the equipment management module is used to create measurement station numbers on the software side, set measurement station parameters, view measurement station status, and set scheduled tasks to receive data from the central control data receiving system.
8. The data management system for automatic measurement of goose growth performance according to claim 7, characterized in that: The measurement management module is used to input the measurement start date and end date, batch set the individual self-numbering codes of geese, and eliminate abnormal data during the measurement process. The data management module is used to perform local backup of data and remote server backup of data.
9. The automatic data management system for measuring goose growth performance according to claim 8, characterized in that: The raw data module is used to record the station number, entry time, exit time, weight and feed intake of each goose each time it enters the station to feed. The individual data module is used to statistically analyze the number of measurement days, total feeding times, average feeding times, daily feeding times, total feed intake, average feed intake, daily feed intake, total feeding time, daily feeding time, average feeding time, starting weight, ending weight, total weight gain, average weight gain, daily weight gain and feed conversion rate of the individual geese during the measurement period, and to rank the feed conversion rate of each individual goose.
10. The data management system for automatic measurement of goose growth performance according to claim 9, characterized in that: The group data module is used for statistical analysis of goose group measurement data, the alarm setting module is used to warn of abnormal situations, the abnormal event module is used to allocate the feed intake of geese whose electronic tags cannot be identified to the geese without feeding events, by determining whether the weight of the geese whose electronic tags cannot be identified is similar to that of the geese without feeding events, and the operation record module is used to record the operations of logging into the software system and deleting data.
Citation Information
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