Automatic feeding conveyor for various white pigeon feeds

Abstract

This invention proposes an automatic feeding and conveying device for various pigeon feeds, belonging to the field of pigeon feeding technology. The automatic feeding and conveying device includes a conveying module, a feeding module, an image recognition module, and a control unit. The conveying module is used for conveying and distributing pigeon feed. Several feeding modules are evenly distributed along both sides of the conveying direction. Each feeding module includes a feeding trough, a pressure sensor, and a contact switch. The outer bottom of the feeding trough is equipped with a pressure sensor to record the pecking force of a single pigeon, and the inner bottom of the feeding trough is equipped with a contact switch to record the number of pecking attempts. The control unit has a built-in health analysis module. This health analysis module includes determining a health baseline value, comparing real-time values ​​of parameters characterizing the pigeon's health status with the health baseline value to obtain a comprehensive deviation, assessing the pigeon's health based on the comprehensive deviation, classifying the pigeons based on the assessment results, and adjusting the feeding amount and ratio of various feeds required by the pigeons.

Description

Technical Field

[0001] This invention relates to the field of pigeon feeding technology, and more specifically, to an automatic feeding and conveying device for various types of pigeon feed. Background Technology

[0002] In traditional pigeon farming, it is often difficult for breeders to monitor the health of each pigeon in real time and with precision. Due to the large number of pigeons and their significant individual differences, relying solely on manual observation makes it difficult to detect health problems promptly, leading to increased risk of disease transmission and low breeding efficiency. Furthermore, most current feeding equipment is single-function, only capable of basic feed dispensing, unable to collect and analyze data on pigeons' feeding behavior, and even less able to dynamically adjust the amount and ratio of feed based on the pigeons' health condition.

[0003] Chinese patent CN104145844B discloses an intelligent large-scale pigeon breeding device. While it improves the convenience and efficiency of feeding to some extent, it still lacks effective means of monitoring the health status of pigeons. These devices typically cannot distinguish the feeding behavior of individual pigeons, let alone assess their health status through feeding behavior data. Therefore, there is an urgent need for a device that combines automatic feeding with health monitoring functions to achieve real-time monitoring and precise management of pigeons' health status, thereby improving breeding efficiency, reducing disease risks, and enhancing overall breeding benefits. Summary of the Invention

[0004] The purpose of this invention is to provide an automatic feeding and conveying device for various types of pigeon feed, so as to solve the problems mentioned above in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] An automatic feeding and conveying device for various types of pigeon feed includes a conveying module, a feeding module, an image recognition module, and a control unit. The conveying module is used for conveying and distributing pigeon feed. Several feeding modules are evenly distributed along both sides of the conveying direction. Each feeding module includes a feeding trough, a pressure sensor, and a contact switch. The outer bottom of the feeding trough is equipped with a pressure sensor to record the pecking force of a single pigeon, and the inner bottom of the feeding trough is equipped with a contact switch to record the number of pecking attempts. Both the pressure sensor and the contact switch are installed within the target area for pigeon pecking. Each feeding trough has a limited feeding port for a single pigeon to feed, and the feeding trough is equipped with a trough code. Each pigeon has an identification barcode on its neck. The image recognition module is located above the feeding trough and identifies the trough code and the pigeon's identification barcode. The pressure sensor, contact switch, and image recognition module are all electrically connected to the control unit.

[0007] The control unit has a built-in health analysis module, which includes determining a health baseline value, comparing the real-time values ​​of parameters representing the health status of the pigeons with the health baseline value to obtain a comprehensive deviation, conducting a health assessment of the pigeons based on the comprehensive deviation, classifying the pigeons based on the assessment results, and adjusting the amount and ratio of various feeds required by the pigeons.

[0008] As a preferred embodiment of the present invention, the health analysis module includes the following steps: determining a health baseline value; comparing the real-time values ​​of parameters characterizing the health status of the pigeons with the health baseline value to obtain a comprehensive deviation; conducting a health assessment of the pigeons based on the comprehensive deviation; classifying the pigeons based on the assessment results; and adjusting the feeding amount and ratio of various feeds required by the pigeons.

[0009] The image recognition module collects the feeder code and the pigeon's identity barcode, and associates them with the pigeon's ID and age (t).

[0010] Data on the pressure sensor and contact switch on the feeding trough where the pigeons are feeding are acquired to characterize the pigeons' health status parameters, including pecking force, pecking frequency, and number of pecking attempts.

[0011] Based on historical big data of pecking behavior of day-old pigeons, the following health benchmarks were determined: pecking power F0(t), pecking frequency R0(t), and pecking number C0(t). The comprehensive deviation between the real-time values ​​of these parameters representing the pigeons' health status and the health benchmarks was calculated. ,Right now Among them, the real-time values ​​of pecking force (F), pecking frequency (R), and pecking frequency (C) are set with a deviation threshold of [value missing]. ,when Furthermore, a health abnormality signal is triggered and the corresponding white pigeon is marked when the duration is T. The pigeons are then classified and processed based on the evaluation results.

[0012] More preferably, the classification process involves dividing the health status of pigeons into three levels based on the overall deviation: robust, sub-healthy, and disease risk. For pigeons in the sub-healthy state, the feed amount and ratio are adjusted accordingly.

[0013] More preferably, when or At that time, the highest level of disease risk warning is triggered, the pigeon's ID is marked, and it is isolated for examination and medication.

[0014] As a preferred embodiment of the present invention, the conveying module is provided with a plurality of feeding modules symmetrically or at intervals on both sides of the conveying direction.

[0015] As a preferred embodiment of the present invention, the feeding port has a diameter of 3-5 cm, allowing only the head of a single pigeon to be inserted.

[0016] In summary, the beneficial effects of this invention are:

[0017] This invention integrates a pressure sensor, a contact switch, and an image recognition module into the feeding module, enabling real-time monitoring of key health indicators for each pigeon, such as pecking power, pecking frequency, and number of pecking attempts. The control unit's built-in health analysis module analyzes and evaluates this data. This real-time monitoring and data analysis function allows breeders to quickly and accurately identify pigeons with abnormal health conditions, enabling timely and targeted measures such as adjusting feed ratios, strengthening nutrition, or isolating and examining them. This effectively improves the health management level of pigeons and reduces the risk of disease transmission.

[0018] Furthermore, the automatic feeding and conveying device of the present invention can dynamically adjust the amount and ratio of feed according to the health status of the pigeons. Through the classification and processing of the health status of the pigeons by the health analysis module, the device can provide personalized feed formulas for pigeons of different health levels, ensuring that each pigeon can obtain the nutrition most suitable for its growth, development and health needs, thereby improving breeding efficiency, optimizing breeding costs, and improving the overall growth quality and production performance of the pigeons.

[0019] Finally, the device of this invention employs a limited feeding port design, ensuring that only one pigeon can eat at a time. This avoids the competition and scrambling for food that may occur in traditional feeding methods, reducing mutual interference and stress responses among pigeons and providing a more stable and comfortable feeding environment. Simultaneously, the image recognition module can accurately identify the pigeon's identification barcode and feed trough code, achieving precise data binding and traceability, further improving the intelligence level of breeding management and the accuracy of data management. Attached Figure Description

[0020] Figure 1 This is a schematic diagram of the structure of the automatic feeding and conveying device for various pigeon feeds of the present invention;

[0021] Figure 2 This is a functional principle diagram of the automatic feeding and conveying device for various pigeon feeds of the present invention.

[0022] In the diagram, 1-Conveying module, 2-Feeding module, 20-Feeding trough, 21-Limited feeding port, 22-Trough code, 23-Contact switch, 24-Pressure sensor, 3-Image recognition module, 4-Control unit, 40-Health analysis module, 5-Identity barcode. Detailed Implementation

[0023] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments given herein are for illustration and explanation only and are not intended to limit the present invention.

[0024] It should be noted that many specific details are set forth in the following description in order to provide a full understanding of the present invention. However, the present invention may have other embodiments and variations thereof. Therefore, the scope of protection of the present invention is not limited to the specific embodiments disclosed below.

[0025] like Figures 1 to 2 As shown, an automatic feeding and conveying device for various types of pigeon feed includes a conveying module 1, a feeding module 2, an image recognition module 3, and a control unit 4. The conveying module 1 is used for conveying and distributing pigeon feed. Several feeding modules 2 are evenly distributed along both sides of the conveying direction of the conveying module 1. Each feeding module 2 includes a feeding trough 20, a pressure sensor 24, and a contact switch 23. The outer bottom of the feeding trough 20 is equipped with a pressure sensor 24 for recording the pecking force of a single pigeon, and the inner bottom of the feeding trough 20 is equipped with a device for recording the number of pecking operations. The system includes several contact switches 23, and both the pressure sensor 24 and the contact switch 23 are installed within the target area where the pigeons peck at food; each feeding trough 20 has a limited feeding port 21 for a single pigeon to feed, and the feeding trough 20 is provided with a feeding trough code 22, and each pigeon has an identification barcode 5 on its neck; the image recognition module 3 is located above the feeding trough 20 to identify the feeding trough code 22 and the pigeon's identification barcode 5; the pressure sensor 24, the contact switch 23, and the image recognition module 3 are all electrically connected to the control unit 4.

[0026] The control unit 4 has a built-in health analysis module 40. The health analysis module 40 includes determining a health benchmark value, comparing the real-time values ​​of parameters representing the health status of the pigeons with the health benchmark value to obtain a comprehensive deviation, conducting a health assessment of the pigeons based on the comprehensive deviation, classifying the pigeons based on the assessment results, and adjusting the amount and ratio of various feeds required by the pigeons.

[0027] This device integrates multiple sensors and image recognition technology to achieve real-time monitoring and accurate assessment of the health status of pigeons, and can automatically adjust the feeding amount and ratio based on the assessment results. It not only improves the management level and efficiency of pigeon farming, but also reduces the risk of disease transmission, enhances the overall health and production performance of pigeons, and has significant practical application value.

[0028] In a preferred embodiment of this example, the health analysis module 40 includes the following process: determining a health baseline value; comparing the real-time values ​​of parameters characterizing the health status of the pigeons with the health baseline value to obtain a comprehensive deviation; conducting a health assessment of the pigeons based on the comprehensive deviation; classifying the pigeons based on the assessment results; and adjusting the feeding amount and ratio of various feeds required by the pigeons.

[0029] The image recognition module 3 collects the trough code 22 and the pigeon's identity barcode 5, and associates them with the pigeon's ID and age t.

[0030] Data on the pressure sensor 24 and contact switch 23 on the feeding trough 20 for pigeons are acquired to characterize the health status parameters of the pigeons, including pecking force, pecking frequency, and number of pecking attempts.

[0031] Based on historical big data of pecking behavior of day-old pigeons, the following health benchmarks were determined: pecking power F0(t), pecking frequency R0(t), and pecking number C0(t). The comprehensive deviation between the real-time values ​​of these parameters representing the pigeons' health status and the health benchmarks was calculated. ,Right now Among them, the real-time values ​​of pecking force (F), pecking frequency (R), and pecking frequency (C) are set with a deviation threshold of [value missing]. ,when Furthermore, a health abnormality signal is triggered and the corresponding white pigeon is marked when the duration is T. The pigeons are then classified and processed based on the evaluation results.

[0032] More preferably, the classification process involves dividing the health status of pigeons into three levels based on the overall deviation: robust, sub-healthy, and disease risk. For pigeons in the sub-healthy state, the feed amount and ratio are adjusted accordingly.

[0033] In this embodiment, the deviation threshold is set as follows: =30%, that is, when the overall deviation... Furthermore, if the health abnormality signal is triggered continuously for 2 hours, the health level will be classified according to the overall deviation, as shown in the table below:

[0034]

[0035] As shown above, the health analysis module 40 is the core functional part of the device. First, it determines health baseline values ​​based on historical big data of the pigeons' pecking behavior, including pecking power, pecking frequency, and pecking number baseline values. Then, it compares the real-time collected pigeon health status parameters (pecking power, pecking frequency, and pecking number) with the baseline values ​​to calculate the comprehensive deviation. Based on the comprehensive deviation, the pigeons' health status is divided into three levels: robust, sub-healthy, and disease risk. For pigeons in a sub-healthy state, the device automatically adjusts the amount and ratio of their feed to meet their specific nutritional needs and help them recover. For pigeons with a high disease risk, an early warning signal is triggered, and the corresponding pigeon ID is marked so that breeders can isolate, examine, and administer medication in a timely manner. This classification and precise feeding method effectively improves the health level of the pigeons and the breeding efficiency.

[0036] More preferably, when or At that time, the highest level of disease risk warning is triggered, the pigeon's ID is marked, and it is isolated for examination and medication.

[0037] This embodiment clarifies the specific conditions for triggering the highest-level disease risk warning. When a pigeon's pecking effort or pecking frequency falls below a set threshold, the device automatically marks the pigeon's ID and triggers a disease risk warning. This mechanism helps breeders promptly identify pigeons with abnormal health conditions, preventing the spread of disease within the flock, thereby improving breeding efficiency and the overall health of the pigeons.

[0038] The baseline value in this embodiment is an empirical value, which is determined based on a database of 100,000 healthy white pigeons aged 30-120 days from previous pigeon farms:

[0039] For 60-day-old white pigeons, the corresponding benchmark values ​​are: pecking ability health benchmark value.

[0040] pecking frequency health benchmark =20.2 times / minute, pecking frequency health benchmark =340 times / day;

[0041] For 100-day-old white pigeons, the corresponding benchmark values ​​are: pecking ability and health benchmark values. pecking frequency health benchmark =21.5 times / minute, pecking frequency health benchmark =500 times / day.

[0042] Currently, pigeon ID (P207) has been monitored, with a pecking force F=110N, pecking frequency R=9 times / minute, and pecking frequency C=220 times / day. This state has lasted for 2.5 hours. The overall deviation of this pigeon can be calculated. It can be seen that its overall deviation is greater than 30% for more than 2 hours, which meets the requirements to trigger the highest level of disease risk warning signal. The pigeon ID should be marked, and the veterinarian should be notified to isolate and examine it and administer symptomatic medication. At the same time, the highest level of disease risk warning can also be triggered based on the single pecking force F=110N <0.5×250.1=125N. The pigeon ID should be marked, and the pigeon should be dealt with accordingly.

[0043] One dimension is the overall deviation of an individual pigeon as a means of assessing the pigeon's health status. The other dimension is that when 20% of the pigeons in the same batch of pigeons show an overall deviation that indicates a disease risk level, it is necessary to consider whether there is a problem with the pigeon breed, or whether there are problems with the ratio of various feeds, such as unreasonable feed intake, unreasonable ratio, or nutritional imbalance. Corresponding emergency plans should be given for different problems to avoid the pigeons being collectively at risk of disease and thus causing economic losses.

[0044] In a preferred embodiment of this invention, the conveying module 1 has a plurality of feeding modules 2 arranged symmetrically or at intervals along both sides of the conveying direction. Figure 1 It is set to be symmetrically and evenly distributed.

[0045] The preferred embodiment of this example is referred to... Figure 1 The limiting feeding port 21 has a diameter of 3-5 cm, allowing only the head of a single pigeon to enter. Each feeding trough 20 is equipped with a limiting feeding port 21, allowing only the head of a single pigeon to enter, ensuring that only one pigeon eats at a time, and avoiding data confusion caused by multiple pigeons eating at the same time.

[0046] This invention's automatic feeding device innovatively combines quantitative monitoring of pecking behavior with dynamic feed ratio control, solving three major industry pain points in large-scale pigeon farming: lagging individual health monitoring, high reliance on manual labor, and low feed utilization. It adds a health analysis module 40, constructing a health analysis model based on three parameters: pecking power, pecking frequency, and pecking frequency. This overcomes the limitations of traditional methods that rely solely on body temperature or environmental monitoring. It employs a dual early warning mechanism: a sub-health warning is triggered when the overall deviation exceeds a threshold and persists for a certain period; and a highest-level warning is immediately triggered when any parameter drops to 30-50% of the baseline value. Based on the overall deviation, the device assesses the pigeons' health status, scientifically and rationally classifies and manages health, dynamically adjusts ingredients and ratios according to health level, and provides fully automatic early warning and precise feeding. It also identifies sick pigeons 24-48 hours in advance through abnormal pecking behavior, achieving early health warnings.

[0047] It should be understood that the above embodiments are one or more embodiments of the present invention, and there are many other embodiments and variations based on the present invention; any variations and modifications made by those skilled in the art through the present invention without making pioneering innovations are all within the protection scope of the present invention.

Claims

1. An automatic feeding and conveying device for various types of pigeon feed, characterized in that: The system includes a conveying module, a feeding module, an image recognition module, and a control unit. The conveying module is used for conveying and distributing pigeon feed. Several feeding modules are evenly distributed along both sides of the conveying direction. Each feeding module includes a feeding trough, a pressure sensor, and a contact switch. The outer bottom of the feeding trough is equipped with a pressure sensor to record the pecking force of a single pigeon, and the inner bottom of the feeding trough is equipped with a contact switch to record the number of pecking attempts. Both the pressure sensor and the contact switch are installed within the target area for the pigeon to peck. Each feeding trough has a limited feeding port for a single pigeon to feed, and the feeding trough is equipped with a feeding trough code. Each pigeon has an identification barcode on its neck. The image recognition module is located above the feeding trough and identifies the feeding trough code and the pigeon's identification barcode. The pressure sensor, contact switch, and image recognition module are all electrically connected to the control unit. The control unit has a built-in health analysis module. This module includes determining a health baseline value, comparing real-time values ​​of parameters representing the pigeon's health status with the baseline value to obtain a comprehensive deviation, assessing the pigeon's health based on the comprehensive deviation, classifying the pigeons according to the assessment results, and adjusting the amount and ratio of various feeds required by the pigeons. The specific process is as follows: The image recognition module collects the feeder code and the pigeon's identity barcode, and associates them with the pigeon's ID and age (t). Data on the pressure sensor and contact switch on the feeding trough where the pigeons are feeding are acquired to characterize the pigeons' health status parameters, including pecking force, pecking frequency, and number of pecking attempts. Based on historical big data of pecking behavior of day-old pigeons, the following health benchmarks were determined: pecking power F0(t), pecking frequency R0(t), and pecking number C0(t). The comprehensive deviation between the real-time values ​​of these parameters representing the pigeons' health status and the health benchmarks was calculated. ,Right now Among them, the real-time values ​​of pecking force (F), pecking frequency (R), and pecking frequency (C) are set with a deviation threshold of [value missing]. ,when Furthermore, when the health abnormality signal is triggered for a duration of T, the corresponding white pigeon is marked, and the classification is carried out based on the evaluation results. The classification process involves dividing the health status of pigeons into three levels based on the overall deviation: robust, sub-healthy, and disease risk. For pigeons in the sub-healthy state, the amount and ratio of feed are adjusted accordingly.

2. The automatic feeding and conveying device for various pigeon feeds according to claim 1, characterized in that: when or At that time, the highest level of disease risk warning is triggered, the pigeon's ID is marked, and it is isolated for examination and medication.

3. The automatic feeding and conveying device for various pigeon feeds according to claim 1, characterized in that: The conveying module has several feeding modules arranged symmetrically or at intervals on both sides of the conveying direction.

4. The automatic feeding and conveying device for various pigeon feeds according to claim 1, characterized in that: The feeding port has a diameter of 3-5 cm, allowing only the head of a single pigeon to enter.

Images