A pig group feeding management device and system

Abstract

The present invention belongs to the field of animal breeding technology, and relates to a pig group feeding management device and system, including: an individual identification module, an image acquisition module, a calculation control module and a fence module, the individual identification module is used to identify individual pigs; the image acquisition module is used to obtain back depth image data according to the individual identification result; the calculation control module is used to input the back depth image data into a deep learning model to classify the pigs; the fence module is used to transport the corresponding pigs to the corresponding feeding area according to the classification result. It is used to solve the problem in the prior art that the scale is damaged and the individual pigs are not accurately managed and monitored, and provides a new management system for large-group feeding of pigs, which can effectively improve animal welfare, and can monitor the individual behavior status and weight changes of pigs on a daily basis, so as to facilitate accurate management of pigs.

Description

Technical Field

[0001] The invention relates to a pig grouping feeding management device and system, belonging to the technical field of animal breeding, and in particular to the technical field of pig image processing. Background Art

[0002] In the process of large-scale fattening pig breeding, manual pen adjustment is usually carried out to improve the uniformity of pigs in the pen and reduce the weight difference between pigs. However, manual pen adjustment consumes a certain amount of manpower and causes stress reactions in pigs. The re-adjusted pens will be re-classified into pigs, and pig fights often occur, affecting production. The pig group feeding system can improve the uniformity of pigs while effectively reducing labor costs and without destroying the original classification of pigs within the group. Existing grouping equipment mostly obtains data through floor scales, which are easily affected by factors such as manure and sewage. Under conventional application management conditions, it is not accurately designed for management of different feeding periods, and cannot monitor the behavior and trajectory of individual pigs. Summary of the invention

[0003] In view of the above problems, the purpose of the present invention is to provide a pig group feeding management device and system, which is used to solve the problem in the prior art that the scale is damaged and individual pigs are not accurately managed and monitored, and provides a new management system for large-group feeding of pigs.

[0004] To achieve the above-mentioned objectives, the present invention proposes the following technical solutions: a pig group feeding management device, comprising: an individual recognition module, an image acquisition module, a calculation control module and a pen module, the individual recognition module is used to perform individual recognition on pigs; the image acquisition module is used to obtain back depth image data according to the individual recognition results; the calculation control module is used to input the back depth image data into a deep learning model to classify the pigs; the pen module is used to transport the corresponding pigs to the corresponding feeding area according to the classification results.

[0005] Furthermore, the feeding management device also includes a grouping channel. A first pneumatic gate is arranged at one end of the grouping channel for pigs to enter, and an individual identification module and an image acquisition module are arranged in the first pneumatic gate. The other end of the grouping channel is connected to the feeding areas corresponding to various types of pigs. The fence module is arranged at the other end of the grouping channel for controlling the opening of the feeding areas corresponding to each type.

[0006] Furthermore, the partition module includes a second pneumatic door, and the calculation control module controls the opening of the corresponding feeding areas of each type by controlling the opening angle of the second pneumatic door.

[0007] Furthermore, a first one-way door and a first photoelectric switch are provided at the connection between the pen module and the feeding area. When the first photoelectric switch detects that a pig passes through, the first one-way door is opened to allow the pig to pass through.

[0008] Furthermore, the types of pigs include weak pigs and strong pigs. The types of pigs are judged by their body length in the early and middle stages of fattening, and the types of pigs are judged by their weight in the late stage of fattening.

[0009] Furthermore, an anti-lying-down rod is provided in the grouping channel, and the placement direction of the anti-lying-down rod is parallel to the length direction of the grouping channel.

[0010] Furthermore, the individual identification module includes a 2D camera and a second photoelectric switch. When the second photoelectric switch detects that a pig has entered, the 2D camera takes a picture of the pig's head and determines the pig's ID through the calculation control module.

[0011] The present invention also discloses a pig group feeding management system, comprising: a weak pig feeding area, a strong pig feeding area, a daily activity area, a pig group feeding management device, an area to be released from the market, a monitoring module and an Internet of Things management platform; the pig group feeding management device is any one of the above-mentioned pig group feeding management devices, used for dividing pigs into weak pigs and strong pigs, a first one-way door is arranged between the pig group feeding management device and the weak pig feeding area and the strong pig feeding area, the weak pigs enter the weak pig feeding area through the first one-way door, and the strong pigs enter the strong pig feeding area through the first one-way door; the weak pig feeding area and the strong pig feeding area are both connected to the daily activity area through a second one-way door, and the daily activity area and the strong pig feeding area are both connected to the area to be released from the market; the monitoring module is used for recording the feed intake, feeding time, water intake and water drinking time of the pigs; the Internet of Things management platform is used for calculating the data of the monitoring module, generating a daily report for the pigs, and accurately managing the pigs.

[0012] Furthermore, the strong pig feeding area is used to feed pigs with normal body length or weight in the population, and the feed fed is consistent with the feed fed at each stage of the normal feeding process; the weak pig feeding area is used to feed pigs with relatively low body length or weight in the population, and the feed fed has higher energy than the feed fed at each stage of the normal feeding process.

[0013] Furthermore, the forced pig feeding area is connected to the waiting area for slaughter through a first passage, and the waiting area for slaughter is connected to the daily activity area through a second passage. When pigs that meet the weight standard are waiting to be slaughtered, the second passage is closed, and the second one-way door between the forced pig feeding area and the daily activity area is closed, so that the pigs can only move in the forced pig feeding area and the waiting area for slaughter.

[0014] The present invention adopts the above technical solution, which has the following advantages:

[0015] 1. The present invention can effectively improve animal welfare and monitor the individual behavior status and weight changes of pigs on a daily basis, making it convenient to accurately manage pigs.

[0016] 2. The present invention collects the back depth image of the pig and uses the trained pig body length and weight estimation model to estimate the pig weight corresponding to the back depth image of the pig. The body length and weight of the pig can be estimated quickly and accurately, which can effectively solve the problem of inaccurate weighing on the scale. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a structural diagram of a pig group feeding management device in one embodiment of the present invention;

[0018] Figure 2 This is a layout diagram of the stalls of a pig group feeding management system in one embodiment of the present invention;

[0019] Figure 3 1 is a layout diagram of the monitoring modules of the pig grouping feeding management system of this embodiment;

[0020] Figure 4 This is a rendering of the Internet of Things platform in one embodiment of the present invention, wherein: Figure 4 (a) is the actual effect diagram of the Internet of Things platform. Figure 4 (b) is the layout diagram of each module of the IoT platform. Figure 4 (c) is a schematic diagram of the IoT monitoring map in the IoT platform;

[0021] Figure 5 This is a simulated diagram of the on-site situation in the first to third weeks after the pigs are transferred in according to one embodiment of the present invention;

[0022] Figure 6 This is a simulated diagram of the on-site situation in the fourth week after the pigs were transferred in according to one embodiment of the present invention;

[0023] Figure 7 This is a simulated diagram of the on-site situation in the 5th to 7th week after the pigs are transferred in one embodiment of the present invention;

[0024] Figure 8 This is a simulated diagram of the on-site situation in the 8th to 11th week after the pigs are transferred in one embodiment of the present invention;

[0025] Fig. 9 This is a simulated diagram of the on-site situation in the 12th to 15th week after the pigs are transferred in according to one embodiment of the present invention;

[0026] Fig.10 This is a simulated diagram of the on-site situation in the 16th week after the pigs were transferred in according to one embodiment of the present invention;

[0027] Fig.11 It is a diagram showing the operating procedure of the pig group feeding equipment in one embodiment of the present invention.

[0028] Reference numerals:

[0029] 1-image acquisition module; 2-first pneumatic door; 3-second pneumatic door; 4-first one-way door; 5-first photoelectric switch; 6-anti-lying rod; 7-2D camera; 8-second photoelectric switch; 9-second one-way door; 10-limit baffle; 11-third pneumatic door; 12-toy ball; 13-first door; 14-second door. DETAILED DESCRIPTION

[0030] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention is described in detail through specific embodiments. However, it should be understood that the provision of specific embodiments is only for a better understanding of the present invention, and they should not be understood as limitations of the present invention. In the description of the present invention, it should be understood that the terms used are only for the purpose of description and cannot be understood as indicating or implying relative importance.

[0031] The group feeding system based on the weighbridge to judge the weight of pigs and group them in the prior art can solve the stress and manpower consumption caused by traditional manual grouping, but the weighbridge is easily damaged by factors such as pig feces, and due to its large size, it is difficult to maintain. In addition, the conventional group feeding system does not monitor the individual behavior of pigs, and cannot accurately manage pigs. In order to solve the problems in the prior art, the present invention provides a pig group feeding management device and system, which uses the pig group feeding management device to distinguish the strength of pigs according to their body length or weight, divides pigs into strong pigs and weak pigs for separate feeding, and records the status of individual pigs. Through the Internet of Things management platform, a daily report of pigs can be generated to accurately manage pigs. The present invention can effectively improve animal welfare, and can monitor the individual behavior status and weight changes of pigs every day, which is convenient for accurate management of pigs. It improves the level of human-computer interaction by setting up the Internet of Things management platform, making the generated results easier to understand. Below, in conjunction with the accompanying drawings, the scheme of the present invention is described in detail through several schematic embodiments.

[0032] Embodiment 1

[0033] This embodiment discloses a pig group feeding management device, which is used to install a group feeding system, divide pig pens, and distinguish between strong and weak pigs; Figure 1 As shown, it includes: an individual identification module, an image acquisition module 1, a calculation control module and a fence module, the individual identification module is used to identify individual pigs; the image acquisition module 1 is used to obtain back depth image data according to the individual identification result; the calculation control module is used to input the back depth image data into the pig body size and weight estimation model, output the pig body size and weight and compare it with the pig growth standard to judge the strength of the pig; the fence module is used to transport the corresponding pig to the corresponding feeding area according to the classification result.

[0034] The feeding management device also includes a grouping channel. A first pneumatic gate 2 is arranged at one end of the grouping channel for pigs to enter. An individual identification module and an image acquisition module 1 are arranged inside the first pneumatic gate 2. The other end of the grouping channel is connected to the feeding areas corresponding to various types of pigs. The fence module is arranged at the other end of the grouping channel for controlling the opening of the feeding areas corresponding to each type.

[0035] The partition module includes a second pneumatic door 3, and the calculation control module controls the opening of the corresponding feeding areas of each type by controlling the opening angle of the second pneumatic door 3.

[0036] A first one-way door 4 and a first photoelectric switch 5 are arranged at the connection between the pen module and the feeding area. When the first photoelectric switch 5 detects that a pig passes through, the first one-way door 4 is opened to allow the pig to pass through, so that the pig can only enter the feeding area from the grouping channel, and cannot enter the grouping channel in the reverse direction from the feeding area.

[0037] The types of pigs include weak pigs and strong pigs. The left side is the feeding area for weak pigs, the right side is the feeding area for strong pigs, and the bottom is the pig activity area. The strength of pigs is determined according to the growth rules of pigs in different feeding periods. In the early and middle fattening stages, body length is used as the strength judgment standard; in the late fattening stage, weight is used as the strength judgment standard; in the early fattening stage, more protein should be added to the feed; in the middle fattening stage, high-energy feed is used; in the late fattening stage, the proportion of protein in the feed is reduced. The strength judgment criteria of pigs are determined by the time after the pigs enter the pen. Body size is used as the judgment standard for the first 5-7 weeks after entering, and weight is used as the judgment standard after the 7th week.

[0038] The grouping passage has an anti-lying rod 6 built in, and the placement direction of the anti-lying rod 6 is parallel to the length direction of the grouping passage. The anti-lying rod 6 is located at the bottom of the grouping passage to prevent pigs from being in the grouping passage for a long time, affecting the operation of the system.

[0039] The individual identification module includes a 2D camera 7 and a second photoelectric switch 8. When the second photoelectric switch 8 detects that a pig has entered, the 2D camera 7 takes a picture of the pig's head, and the pig's ID is determined by the calculation control module. Obtain a 2D image of the pig's back taken in the grouping aisle, a 2D image of the pig's back taken at the second one-way door 9 where the feeding area returns to the daily activity area, and a 2D image of the pig's face obtained in the feeding trough and drinking bowl; input the above 2D images into the preset pig identity recognition model to determine the number of times the pig enters the feeding area, the number of times it drinks water, the length of time it enters the feeding area, etc., and compare it with the number of pigs punching in every day in the database, and issue an early warning for abnormal situations. The individual identification module is a convolutional neural network model. Convolutional Neural Networks (CNN) is a type of neural network that includes convolution calculations and has a deep structure. Among them, two individual recognition models are trained using the obtained pig facial image samples and back image samples; since the growth of pigs will affect the recognition effect, the trained model is used for individual recognition, and the pig identity ID is obtained. At the same time, the pig face image data collected on the same day is automatically re-input into the model for dynamic update; the collected pig back depth image is pre-processed and input into the convolutional neural network, which includes multiple output layers, each output layer corresponds to a pig identity ID. Preferably, the convolutional neural network model can be selected but not limited to Xcception and MobileNet models, the loss function of the model selects sparse categorical crossentropy, and softmax is selected as the model classifier. The learning rate and batch size are selected according to the actual situation, and the learning rate can be selected but not limited to 0.0001 and the batch size is 32.

[0040] The pig body size and weight recognition model is also obtained by CNN training. Unlike the identity recognition model, the body size and weight estimation model has strong universality under the condition of certain pig breeds, so there is no need to repeat the training. This embodiment selects the patented prior art for implementation, and adopts the pig weight estimation method, device, equipment and storage medium provided by China Agricultural University (refer to publication number CN113096178A). And on the basis of this technology, the pig body size mark is added to the input layer, and the body size and weight multi-parameter estimation model is established in combination with the depth image.

[0041] The pig grouping feeding management device also includes a limit baffle 10, which is located at the entrance of the grouping passage and is used to adjust the width of the passage according to the age of the pigs to ensure that only one pig enters or exits each time.

[0042] The body size and weight estimation model in this embodiment pre-processes the collected pig back depth image and inputs it into a multi-output regression convolutional neural network, which includes multiple output layers, each output layer corresponds to a pig body size and weight data, and can output six parameters of pig weight, body length, body width, body height, hip width, and hip height.

[0043] A third pneumatic door 11 is also included between the first pneumatic door 2 and the second pneumatic door 3. The third pneumatic door 11 is used to control the pigs within a designated area when performing individual identification and image acquisition.

[0044] In this embodiment, when the pig grouping feeding management device is in operation, the first pneumatic door 2 is controlled by the cylinder and is in a normally open state; when the pig enters the grouping feeding device, the 2D camera 7 works to capture the image of the pig's head, and the host computer determines the pig's ID; when the pig advances to the second photoelectric switch 8, the depth camera captures the depth image of the pig, and at the same time the first pneumatic door 2 is closed, and the host computer determines the strength of the pig; after determining the strength of the pig, the second pneumatic door 3 controlled by the cylinder opens, and if the pig is determined to be a weak pig, the second pneumatic door 3 is located on the right, and the pig walks out of the pig grouping feeding management device from the first one-way door 4; if the pig is determined to be a strong pig, the second pneumatic door 3 is located on the left, and the pig walks out of the pig grouping feeding management device from the first one-way door 4; when the pig walks out of the pig grouping feeding management device, the second photoelectric switch is triggered, and at this time the first pneumatic door 2 is opened and the third pneumatic door 11 is closed.

[0045] In this embodiment, the 2D camera 7 is preferably disposed at the third pneumatic door 11, but the 2D camera 7 can also be moved to the first pneumatic door 2 to capture images of the pig's buttocks at a preset length and angle for individual identification.

[0046] In this embodiment, the operating program of the depth camera can set an area threshold. When the identified area of ​​the pig's back is larger than a certain threshold, the second photoelectric switch 8 is not needed for shooting and judging the strength of the pig. The specific value of this threshold will be adjusted according to the age of the pig, and it will show an overall increasing trend.

[0047] Embodiment 2

[0048] Based on the same inventive concept, this embodiment discloses a pig group feeding management system. Figure 2 : is a layout diagram of the pig group feeding management system in this embodiment. Figure 2 As shown, it includes: feeding area for weak pigs, feeding area for strong pigs, daily activity area, pig group feeding management device, waiting area, monitoring module and Internet of Things management platform;

[0049] The pig grouping feeding management device is any of the above-mentioned pig grouping feeding management devices, which is used to divide pigs into weak pigs and strong pigs. The only way for the daily activity area to enter the feeding area is through the pig grouping feeding management device; pigs can only return to the daily activity area from the strong pig feeding area and the weak pig feeding area through the pig grouping feeding management device. A first one-way door 4 is set between the pig group feeding management device and the weak pig feeding area and the strong pig feeding area. Weak pigs enter the weak pig feeding area through the first one-way door 4, and strong pigs enter the strong pig feeding area through the first one-way door 4. Different feeds are placed in the strong and weak pig feeding areas for strong and weak pigs; the weak pig feeding area and the strong pig feeding area are connected to the daily activity area through the second one-way door 9. The daily activity area is an area for pigs to lie down, rest, drink water, and excrete daily, and the waiting area is an area for pigs that meet the weight standard to wait for release; the strong pig feeding area is connected to the waiting area; the monitoring module is used to record the pigs' feed intake, feeding time, water intake and drinking time; the Internet of Things management platform is used to calculate the data of the monitoring module, record the indoor environment, water and electricity conditions, daily individual information of pigs, feeding, drinking water, body size and weight, etc., generate daily reports for pigs, and manage pigs accurately. By distinguishing the pig activity areas, the group feeding system is reasonably applied.

[0050] The strong pig feeding area is used to feed pigs with normal body length or weight in the population. The feed fed is consistent with the feed fed at each stage of the normal feeding process. The strong pig feeding area is located on the right side of the pig grouping feeding management device. After passing through the pig grouping feeding management device, the pigs walk out from the right side to enter the strong pig feeding area; below the strong pig feeding area is the pig activity area, which is connected to it through the second one-way door 9; the second one-way door 9 ensures that the pigs can only return to the pig activity area from the strong pig feeding area. The weak pig feeding area is used to feed pigs with relatively low body length or weight in the population. The feed fed has higher energy than the feed fed at each stage of the normal feeding process. The weak pig feeding area is located on the left side of the pig grouping feeding management device. After passing through the pig grouping feeding management device, the pigs walk out from the left side to enter the weak pig feeding area; below the weak pig feeding area is the pig activity area, which is connected to it through the second one-way door 9, and the second one-way door 9 ensures that the pigs can only return to the pig activity area from the weak pig feeding area.

[0051] The daily activity area is used for daily activities, drinking water, lying down, and defecation of pigs. In this embodiment, the daily activity area is configured with semi-leaked manure, that is, the bottom part of the daily activity area is a leaky manure floor, the pig drinking area is located above the leaky manure floor at the bottom of the pen, and the pig lying area is provided with a series of items such as toy balls 12 that can improve the richness of the pig environment, so as to improve animal welfare. The scheme in the present invention is not limited to Figure 2 The large pen shown in the semi-slatted feeding conditions is also applicable to large pens with full slatted floors and other feeding conditions. A drinking fountain is set in the daily activity area, which is located above the slatted floor below the pen.

[0052] The waiting area is used for pigs that meet the weight standard to wait for slaughter. The strong pig feeding area is connected to the waiting area through the first passage, and the waiting area is connected to the daily activity area through the second passage. When the pigs that meet the weight standard are waiting for slaughter, the second passage is closed, and the second one-way door 9 between the strong pig feeding area and the daily activity area is closed, so that the pigs can only move in the strong pig feeding area and the waiting area. Toy balls 12 are also arranged on the ground of the waiting area to improve the richness of the environment in the pen and improve animal welfare. A drinking fountain is also set in the waiting area, which is located above the manure-leaking floor below the pen. A first door 13 is set on the first passage, and a second door 14 is set on the second passage. By controlling the opening and closing of the first door 13 and the second door 14, the opening and closing of the first passage or the second passage is controlled.

[0053] Figure 3 This is the layout diagram of the monitoring module of the pig grouping feeding management system of this embodiment. The monitoring module includes a 2D camera 7, an environmental sensor, a water meter, an electric meter, a cloud camera and an industrial computer. A 2D camera 7 is installed in the feed trough of the pig feeding area to obtain the video and picture of the pig's mouth chewing behavior, determine the pig's real feeding behavior and record its time, and calculate the pig's feed intake by combining the calculation formula of feeding time and feed intake. A 2D camera 7 is installed in the pig drinking fountain to obtain the video and picture of the pig's mouth actually contacting the drinking fountain, determine the pig's drinking behavior and record its time, and calculate the pig's water intake by combining the calculation formula of drinking time and water intake. The shooting angle of the 2D camera at the feeding place and the drinking place should be kept as consistent as possible. A 2D camera 7 is installed on the top of the second one-way door 9 at the junction of the feeding area and the daily activity area to identify the identity of the pigs leaving the feeding area. In order to improve the recognition effect, a limited aisle with the same plate as the grouping aisle can be installed under the camera. The shooting height and angle of the 2D camera 7 installed here should also be consistent with the 2D camera 7 installed in the pig grouping feeding management device.

[0054] Environmental sensors, including but not limited to temperature and humidity, ammonia, and carbon dioxide, are installed on both sides of the large circle to monitor the environmental conditions in the house. Water meters and electric meters are installed at the main water valve and the main electric switch of the large circle to record the overall water and electricity consumption; cloud cameras are installed in different areas of the large circle, such as the feeding area, drinking water area, and waiting area for delivery, for remote viewing of the situation in the house; an industrial computer is also installed at the main power distribution cabinet of the large circle for running models and recognition programs, collecting environmental data, etc. Environmental sensors, water meters, and electric meters are written based on LabVIEW. The environmental sensors use 4-20mA signal output types, and the water and electricity meters use RS485 signal output types. The data is connected to the industrial computer through an acquisition card for data collection. All data is uploaded to the network server through the MySQL database and displayed on the Internet of Things platform. The monitoring module displays the picture taken by the currently selected cloud camera, and the cloud camera shooting angle can be controlled through the video below and the current required camera can be selected. In this embodiment, the pig group feeding management device is controlled by the web operation link published by LabVIEW. You can click the remote control program to run and observe the program's running status.

[0055] Due to different shooting angles and shooting distances, in order to maximize the recognition effect and reduce the impact of environmental factors on individual recognition, there are three main models for individual pig recognition, namely, facial individual recognition model, back individual recognition model and facial recognition model.

[0056] The data collection status can obtain the total amount of data from yesterday and the amount of data collected today; the pen overview module can realize the function of viewing the historical data collected by sensors at different locations by clicking on different locations, and can view the number of times the pigs enter and exit the feeding area and the length of time they stay in the feeding area and daily activity area according to the points, and mark the pigs with abnormal feeding on that day. In one embodiment, after clicking on the pen overview, you can choose to view the pig monitoring map. The pig monitoring map

[0057] The Internet of Things management platform integrates the temperature, humidity, carbon dioxide, ammonia and other data obtained in the house through software, establishes a psychrometric chart system, analyzes whether the current environment of the pigs is suitable, records the water and electricity data in the house, and can generate periodic water and electricity consumption reports. By integrating the individual information data of the pigs obtained, the number of times the pigs enter and exit the feeding area every day, as well as the length of time they stay in the feeding area and daily activity area, can be obtained to form a set of behavioral monitoring time spectrums that can be used to detect pigs; the daily weight, feeding, drinking water and other information of the pigs obtained are integrated to obtain the feed-to-meat ratio, feed-to-water ratio and other data of the pigs, evaluate the growth and health of the pigs and form a report to send to the manager. After all the above data are collected, they are transmitted to the server through the network, combined with the system setting standards, to warn of abnormal conditions in the house, and have a good human-computer interaction interface. Figure 4This is a rendering of the Internet of Things platform in one embodiment of the present invention, wherein: Figure 4 (a) is the actual effect diagram of the Internet of Things platform. Figure 4 (b) is the layout diagram of each module of the IoT platform. Figure 4 (c) is a schematic diagram of the IoT monitoring map in the IoT platform. Figure 4 As shown in (b), the IoT platform is divided into 9 areas, namely A1, A2, A3, B1, B2, B3, C1, C2 and C3, corresponding to Figure 4 (b) includes real-time monitoring, intelligent grouping system operation status, feeding monitoring, data collection, pen overview, pig back depth image, real-time data, electronic wet enthalpy diagram and drinking water monitoring. Figure 4 As shown in (c), the schematic diagram of the IoT monitoring map in the IoT platform can display the overall trajectory of the punch-in points for the day, the pig's weight for the day, the amount of feed consumed for the day, the amount of water drunk, the number of times the pig entered the grouping channel, the number of times the pig punched in for drinking water, the ID, the length of time the pig stayed in the feeding area, the length of time the pig stayed in the activity area, and whether the pig's current status is abnormal; the IoT management platform sends the user's email address at 8:00 a.m. every day to the user's mailbox for yesterday's data collection. The user can log in to the platform at any time to download and copy the data and generate corresponding reports.

[0058] Figure 5 : is a simulation diagram of the on-site situation in the first to third weeks after the pigs are transferred in this embodiment. Figure 5 As shown, the pigs are transferred to the large pen at the age of 60 to 70 days (about 25 kg), and the on-site situation simulation diagram of the 1st to 3rd week after the pigs are transferred. At this time, the last part of the pigs to be released from the previous batch of pigs raised under this feeding process method are raised in the waiting area for release. At this time, the group feeding system is in the non-working stage, the first pneumatic door 2 and the third pneumatic door 11 are both in the open state, and the second pneumatic door 3 is in an irregular operation state to ensure that the pigs can learn to use the pig group feeding management device to enter the feeding area and return to the daily activity area. At this time, the feed feeding is the same as normal feeding.

[0059] Figure 6 4 is a simulated diagram of the on-site situation after the pigs were transferred in this embodiment. Figure 6 As shown, at this time, the last batch of pigs to be released from the previous batch of pigs raised under this feeding process method have been released, and the area to be released is in a state of cleaning and disinfection, and the group feeding system is also ensured to be in a non-working state at this time. At this time, the feed feeding is the same as normal feeding.

[0060] Figure 7 : is a simulated diagram of the on-site situation in the 5th to 7th week after the pigs are transferred in this embodiment; Figure 7As shown, at this time, the group feeding system works normally, the second door 14 is opened, the waiting area is connected to the daily activity area, and the pigs only need to enter the feeding area through the grouping channel. At this time, the pigs are in the bone growth and development period, so the strength discrimination index is selected as body length. At this time, more protein should be added to the weak pig feed to promote its growth and development.

[0061] Figure 8 8-11 weeks after the pigs were transferred in; Figure 8 As shown, at this time, the group feeding system works normally, the second door 14 is opened, connecting the waiting area to the daily activity area, and the pigs only need to enter the feeding area through the grouping channel. The weight change of the pigs is more obvious, so the strength discrimination index is selected as weight. Since weak pigs grow slowly, more protein should be added while increasing energy to promote their growth and development.

[0062] Fig. 9 1 is a simulated diagram of the on-site situation in the 12th to 15th week after the pigs are transferred in this embodiment; Fig. 9 As shown, at this time, some pigs have reached the slaughter weight, so the single-phase door between the strong pig feeding area and the daily activity area is closed, the first door 13 is opened, and the second door 14 is closed, so that the strong pigs can only move in the strong pig feeding area and the waiting area for slaughter. At this time, the protein ratio in the weak pig feed remains unchanged, and the energy in the feed is still increased, and the protein ratio in the strong pig feed should be reduced.

[0063] Fig.10 16 weeks after the pigs were transferred in; Fig.10 As shown, at this time, all the strong pigs have been slaughtered, and only some pigs that do not meet the weight standard are kept in the area to be slaughtered, the first door 13 and the second door 14 are closed, and the daily activity area and the feeding area are cleaned and disinfected. At this time, the feed for the pigs in the area to be slaughtered is consistent with the formula of the strong pig feed in weeks 12-15.

[0064] Fig.11 : is a schematic diagram showing the operation procedure of the pig group feeding device in one embodiment of the present invention. Fig.11 As shown, Fig.11 The middle is the front panel of the running program, which includes the movement status of the three pneumatic doors, the estimated pig length, body width, body height, hip height, hip width, weight, standard weight and the current strength and weakness classification of the pig. The program is programmed by LabVIEW combined with python nodes.

[0065] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit them. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation of the present invention can still be modified or replaced by equivalents, and any modification or equivalent replacement that does not deviate from the spirit and scope of the present invention should be included in the protection scope of the claims of the present invention. The above content is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or replacements within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A pig group feeding management system, It is characterized in that include: Weak pig feeding area, strong pig feeding area, daily activity area, pig group feeding management device, waiting area, monitoring module and Internet of Things management platform; The pig group feeding management device comprises: an individual identification module, an image acquisition module, a calculation control module and a fence module. The individual identification module is used to perform individual identification on pigs; The image acquisition module is used to acquire back depth image data according to the individual recognition result; The computing control module is used to input the back depth image data into a deep learning model to classify the pigs; The fence module is used to transport the corresponding pigs to the corresponding feeding area according to the classification result, and is used to divide the pigs into weak pigs and strong pigs. A first one-way door is set between the pig grouping feeding management device and the weak pig feeding area and the strong pig feeding area. The weak pigs enter the weak pig feeding area through the first one-way door, and the strong pigs enter the strong pig feeding area through the first one-way door; The weak pig feeding area and the strong pig feeding area are both connected to the daily activity area through a second one-way door, and the daily activity area and the strong pig feeding area are both connected to the waiting-to-be-released area; The monitoring module is used to record the amount of feed consumed, the duration of feeding, the amount of water consumed and the duration of water consumed by the pigs; The Internet of Things management platform is used to calculate the data of the monitoring module, generate daily reports for pigs, and manage pigs accurately; The Internet of Things management platform integrates the temperature, humidity, carbon dioxide, and ammonia data obtained in the house through software, establishes a psychrometric chart system, analyzes whether the current environment of the pigs is suitable, records the water and electricity data in the house, and generates periodic water and electricity consumption reports; integrates the obtained individual information data of the pigs, obtains the number of times the pigs enter and exit the feeding area every day, and the length of time they stay in the feeding area and the daily activity area, and forms a set of behavioral monitoring time spectrums for detecting the pigs; integrates the daily weight, feeding and drinking water information of the pigs, obtains the feed-to-meat ratio and feed-to-water ratio data of the pigs, evaluates the growth and health status of the pigs, and forms a report to send to the manager. After all the above data are collected, they are transmitted to the server through the network, and combined with the system setting standards, early warnings are issued for abnormal conditions in the house; The pig types include weak pigs and strong pigs. The pig types are determined by the body length of the pigs in the early and middle stages of fattening, and by the weight of the pigs in the late stages of fattening. The strong pig feeding area is used to feed pigs with normal body length or weight in the population, and the feed fed is consistent with the feed fed at each stage of the normal feeding process; the weak pig feeding area is used to feed pigs with body length or weight lower than the normal value in the population, and the feed fed has higher energy than the feed fed at each stage of the normal feeding process; The strong pig feeding area is connected with the waiting area for slaughter through a first passage, and the waiting area for slaughter is connected with the daily activity area through a second passage. When pigs that meet the weight standard are waiting to be slaughtered, the second passage is closed, and the second one-way door between the strong pig feeding area and the daily activity area is closed, so that the pigs can only move within the strong pig feeding area and the waiting area for slaughter.

2. The pig group feeding management system according to claim 1, It is characterized in that The feeding management device also includes a grouping channel, and a first pneumatic gate is arranged at one end of the grouping channel where the pigs enter, and the individual identification module and the image acquisition module are arranged inside the first pneumatic gate. The other end of the grouping channel is connected to the feeding areas corresponding to the various types of pigs, and the feeding areas corresponding to the types of pigs are opened by controlling the pen module.

3. The pig group feeding management system according to claim 2, It is characterized in that The partition module includes a second pneumatic door, and the calculation control module controls the opening of the feeding area corresponding to the pig type by controlling the opening angle of the second pneumatic door.

4. The pig group feeding management system according to claim 3, It is characterized in that A first one-way door and a first photoelectric switch are arranged at the connection between the partition module and the feeding area. When the first photoelectric switch detects that a pig passes through, the first one-way door is opened to allow the pig to pass through.

5. The pig group feeding management system according to claim 2, It is characterized in that An anti-lying-down rod is arranged in the grouping channel, and the placement direction of the anti-lying-down rod is parallel to the length direction of the grouping channel.

6. The pig group feeding management system according to any one of claims 1 to 5, It is characterized in that The individual identification module includes a 2D camera and a second photoelectric switch. When the second photoelectric switch detects that a pig has entered, the 2D camera takes a picture of the pig's head, and the pig's ID is determined by the calculation control module.

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