Animal feed weight ratio monitoring system

Abstract

The invention discloses an animal feed-to-weight ratio monitoring system, and relates to the technical field of livestock and poultry intelligent breeding, and the system comprises a weight weighing module which is arranged in an animal rearing cage and is used for collecting the weight data of each animal in the rearing cage; the feed box weighing module is arranged below a feed box in the rearing cage and used for collecting the weight of feed in the feed box to obtain feed box weight data; the identity recognition module is arranged on the body weight weighing module, the feed box weighing module and the animal in the rearing cage and used for recognizing the identity of the animal when the body weight data of the animal and the weight data of the feed box are collected; and the data processing module is used for determining the feed intake of each animal according to the weight data of the feed box and the identity information of the animals, and calculating the feed-to-weight ratio of each animal according to the weight data of each animal, the feed intake and the corresponding identity information. According to the invention, accurate association of the animal identity, the weight and the feed intake is realized, and the feed-weight ratio of the animal is automatically and accurately obtained.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of livestock intelligent breeding, in particular to an animal feed conversion ratio monitoring system. BACKGROUND

[0002] Feed conversion ratio (FCR) refers to the proportional relationship between the amount of feed consumed by animals during breeding and the amount of weight gain, which is the core basis for optimizing breeding management and evaluating production efficiency. The traditional manual monitoring method calculates FCR by weighing feed consumption and animal weight daily, which can easily cause animal stress and lead to a decrease in growth rate. On the other hand, manual recording cannot capture the fragmented feeding habits of small animals, such as "eating more meals and less food", and this rough monitoring mode cannot meet the needs of individualized growth performance tracing in precision livestock farming.

[0003] Related automatic animal growth monitoring technologies can be divided into two categories: non-contact and contact, according to whether the measuring device contacts the animal. Non-contact technologies (such as machine vision weight estimation) can avoid animal stress, but for animals such as rabbits and chickens with hair on their bodies, the visual feature shielding caused by the hair can affect the measurement accuracy and stability. Contact weighing technology directly obtains feed intake and weight data through a weighing sensor, with a measurement accuracy of ±1g. In the context of intensive breeding, high-density multi-layer cage breeding has become the main mode of current livestock breeding. Multiple animals are often raised in a single cage, and it is crucial to accurately collect the feed intake and weight gain data of different individuals in such a cage structure for healthy breeding, disease diagnosis, and growth monitoring. However, in existing research, comprehensive systems suitable for cage environments and integrating feed intake, weight measurement, and animal identity recognition functions are still relatively scarce. In addition, since most weighing sensors rely on wired connections, the wiring layout in the livestock house is often complex and difficult to maintain, further exacerbating the difficulty of popularization and application in large-scale breeding scenarios. SUMMARY

[0004] The purpose of the present application is to provide an animal feed conversion ratio monitoring system that can automatically and accurately detect the weight, feed intake, and identity information of animals, and further accurately monitor the feed conversion ratio of animals.

[0005] To achieve the above purpose, the present application provides the following solutions:

[0006] In a first aspect, the present application provides an animal feed conversion ratio monitoring system, comprising:

[0007] a body weight weighing module arranged in the breeding cage of the animal, configured to collect the body weight data of each animal in the breeding cage;

[0008] The feed box weighing module is arranged below the feed box in the breeding cage and is used to collect the weight of the feed in the feed box to obtain feed box weight data.

[0009] The identity recognition module is arranged on the animal in the body weight weighing module, the feed box weighing module and the breeding cage and is used to recognize the identity of the animal when collecting the body weight data and the feed box weight data to obtain identity information of the corresponding animal.

[0010] The data processing module is used to determine the feed intake of each animal according to the feed box weight data and the identity information of the animal and to calculate the feed-to-weight ratio of each animal according to the body weight data, the feed intake and the corresponding identity information of each animal.

[0011] In an embodiment, the body weight weighing module comprises a first weighing platform and a first weight sensor; the first weight sensor is arranged at the bottom of the first weighing platform; the first weighing platform is used to accommodate an animal; and the first weight sensor is used to collect the weight on the first weighing platform in real time to obtain the body weight data of each animal.

[0012] In an embodiment, the body weight weighing module further comprises a processor; the processor is connected with the first weight sensor; and the processor is used to: determine whether the weight collected by the first weight sensor exceeds a set value in real time; when the weight collected by the first weight sensor exceeds the set value and the weight collected by the first weight sensor is greater than or equal to a first set multiple of the standard body weight and less than or equal to a second set multiple of the standard body weight, determine the preliminary body weight of the animal according to the difference between the maximum value and the minimum value of the weight in a set sliding window; the first set multiple is less than the second set multiple; when the weight collected by the first weight sensor does not exceed the set value, determine an error value according to the weight in the set sliding window; and determine the body weight data of the animal on the first weighing platform according to the preliminary body weight and the error value.

[0013] In an embodiment, the feed box weighing module comprises a second weighing platform and a second weight sensor; the second weighing platform is arranged below the feed box in the breeding cage; and the second weight sensor is arranged at the bottom of the second weighing platform; and the second weight sensor is used to collect the weight of the feed in the feed box.

[0014] In an embodiment, the identity recognition module comprises a coil, an RFID recognition chip and an RFID animal tag chip; the coil and the RFID recognition chip are embedded in the body weight scale module and the feed box scale module; the RFID animal tag chip is arranged on the animal body; the RFID recognition chip is used to read the RFID animal tag chip carried by the corresponding animal when the animal enters the weighing range of the body weight scale module or the weighing range of the feed box scale module, so as to obtain the identity information of the corresponding animal.

[0015] In an embodiment, the system further comprises a wireless transmission module, which is used to transmit the body weight data collected by the body weight scale module, the feed box weight data collected by the feed box scale module and the identity information recognized by the identity recognition module to the data processing module by using the Tai Feng ultra-narrow band communication protocol.

[0016] In an embodiment, the data processing module is further used to read the body weight data, the feed box weight data and the identity information in a time or triggered manner.

[0017] In an embodiment, the data processing module comprises a feed box weight data processing unit, which is used to determine the feed intake of each animal in a day according to the feed box weight data of the previous day, the feed box weight data of the current day and the identity information of the animal; a body weight data processing unit, which is used to determine the body weight change of each animal in a day according to the body weight data of the previous day, the body weight data of the current day and the identity information of the animal; and a feed weight ratio calculation unit, which is used to determine the feed weight ratio of each animal according to the feed intake and the body weight change of each animal in a day.

[0018] In an embodiment, the feed box weight data processing unit, the body weight data processing unit and the feed weight ratio calculation unit are all computer programs running in a programmable controller.

[0019] In an embodiment, the programmable controller is further used to store the feed intake, the body weight change and the feed weight ratio of each animal in a day in an SD card, and send the feed intake, the body weight change and the feed weight ratio of each animal in a day to a cloud database for storage through a gateway.

[0020] According to the specific embodiments provided in the present application, the present application has the following technical effects:

[0021] The application provides an animal feed-weight ratio monitoring system, which realizes accurate association of animal identity, weight and feed intake through linkage design of an integrated body weight weighing module, a feed box weighing module, an identity recognition module and a data processing module, and then automatically and accurately obtains the daily feed-weight ratio of the animal, the whole scheme does not need to greatly transform the existing breeding environment, meets the individualized monitoring demand under multi-animal co-breeding, and can provide strong data support for precise feeding and scientific breeding management. BRIEF DESCRIPTION OF DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments will be briefly introduced. Obviously, the drawings in the following description only constitute some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0023] Figure 1 a block diagram of the animal feed-weight ratio monitoring system provided by an embodiment of the present application;

[0024] Figure 2 a position schematic view of the body weight weighing module, the feed box weighing module and the identity recognition module in an embodiment of the present application;

[0025] Figure 3 a schematic view of a first weighing table surface in an embodiment of the present application;

[0026] Figure 4 a flowchart of data storage of a cloud database in an embodiment of the present application;

[0027] Figure 5 a flowchart of data reading of the data processing module in an embodiment of the present application;

[0028] Figure 6 a flowchart of calibration of the weight data in an embodiment of the present application;

[0029] Figure 7 a flowchart of determination of the daily feed-weight ratio in an embodiment of the present application. DETAILED DESCRIPTION

[0030] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments only constitute some embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0031] In order to make the above objectives, characteristics and advantages of the present application more apparent, further specific embodiments will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0032] In one exemplary embodiment, as shown in Figure 1 , there is provided an animal feed-to-weight ratio monitoring system, comprising a body weight measurement module 101, a feed box measurement module 102, an identity recognition module 103 and a data processing module 104. The functions and principles of each module will be described in detail below.

[0033] (I) As shown in Figure 2 , the body weight measurement module 101 is arranged in the animal's cage for collecting the body weight data of each animal in the cage.

[0034] In one specific application example, the body weight measurement module 101 comprises a first weighing platform and a first weight sensor. The first weight sensor is arranged at the bottom of the first weighing platform. As shown in Figure 3 , the first weighing platform is used to accommodate an animal. The first weight sensor is used to collect the weight on the first weighing platform in real time to obtain the body weight data of each animal.

[0035] The first weighing platform is placed in the cage, and the body weight value is automatically obtained when the animal climbs onto the first weighing platform driven by natural behavior. The first weighing platform is made of frosted material to prevent the animal from slipping. The first weight sensor is a cantilever beam weight sensor. In addition, the body weight measurement module 101 further comprises an upper screw hole, a lower screw hole and an aluminum alloy support, and the first weighing platform and the first weight sensor are fixed through the upper screw hole, the lower screw hole and the aluminum alloy support.

[0036] Further, the body weight measurement module 101 further comprises a processor. The processor is connected with the first weight sensor, and the processor is used to: judge whether the weight collected by the first weight sensor exceeds a set value in real time; when the weight collected by the first weight sensor exceeds the set value, and the weight collected by the first weight sensor is greater than or equal to a first set multiple of the standard weight and less than or equal to a second set multiple of the standard weight, determine the preliminary body weight of the animal according to the difference between the maximum value and the minimum value of the weight in the set sliding window; the first set multiple is less than the second set multiple; for example, the first set multiple is 0.8 and the second set multiple is 1.2; when the weight collected by the first weight sensor does not exceed the set value, determine the error value according to the weight in the set sliding window; determine the body weight data of the animal on the first weighing platform according to the preliminary body weight and the error value.

[0037] (ii) The feed box weighing module 102 is arranged below the feed box in the feeding cage to collect the weight of the feed in the feed box and obtain the weight data of the feed box.

[0038] In one specific application, the feed box weighing module 102 comprises a second weighing platform and a second weight sensor. The second weighing platform is arranged below the feed box in the feeding cage, and the second weight sensor is arranged at the bottom of the second weighing platform. The second weight sensor is used to collect the weight of the feed in the feed box. The area of the second weighing platform is smaller than that of the first weighing platform.

[0039] In another specific application, the second weighing platform comprises an upper weighing platform and a lower weighing platform, and the feed box weighing module 102 further comprises a fixing buckle, and the weight sensor is fixed between the upper weighing platform and the lower weighing platform by the fixing buckle.

[0040] It should be noted that the signals collected by the weight sensors in the body weight weighing module 101 and the feed box weighing module 102 are weak voltage signals (10mv), which need to be connected to a transmitter to convert the weak voltage signals into 0V-10V voltage signals, and then a wireless transmission module 105 can be connected to read the data.

[0041] (iii) The identity recognition module 103 is arranged on the animals in the body weight weighing module 101, the feed box weighing module 102 and the feeding cage, and is used to identify the identity of the animals when collecting the body weight data and the weight data of the feed box, and obtain the identity information of the corresponding animals.

[0042] In one specific application, the identity recognition module 103 comprises a coil, an RFID identification chip and an RFID animal tag chip. The coil and the RFID identification chip are embedded in the body weight weighing module 101 and the feed box weighing module 102. The RFID animal tag chip is arranged on the animals. The RFID identification chip is used to read the RFID animal tag chip carried by the corresponding animal when the animal enters the weighing range of the body weight weighing module 101 or the weighing range of the feed box weighing module 102, so as to obtain the identity information of the corresponding animal.

[0043] Specifically, the number of coils and RFID identification chips is two, one of which is embedded in the first weighing platform, and the other is fixed at the front end of the second weighing platform (such as Figure 2As shown, the two coils are connected to two RFID identification chips respectively. By implanting a micro RFID animal tag chip under the animal's abdomen or directly fixing the micro RFID animal tag chip to the animal, the coils on the two weighing platforms trigger identification when the animal touches a specific area, reading the chip ID to distinguish different animals.

[0044] The RFID identification chip has a reading frequency of HF 13.56Mhz, uses the ISO 15693 communication protocol, and has a chip size of 1.2mm*12mm. It can read the identification information of multiple animals simultaneously.

[0045] (iv) The data processing module 104 is used to determine the feed intake of each animal based on the feed box weight data and the animal's identity information, and to calculate the feed-to-weight ratio of each animal based on the animal's weight data, feed intake and corresponding identity information.

[0046] In a specific application example, the data processing module 104 includes: a feed box weight data processing unit, a body weight data processing unit, and a feed-to-weight ratio calculation unit. The feed box weight data processing unit, the body weight data processing unit, and the feed-to-weight ratio calculation unit are all computer programs running in a programmable logic controller (PLC). The PLC is a monitor within the livestock shed.

[0047] The feed box weight data processing unit is used to determine the daily feed intake of each animal based on the feed box weight data of the previous day, the feed box weight data of the current day, and the animal's identity information.

[0048] The weight data processing unit is used to determine the weight change of each animal within a day based on the animal's weight data from the previous day, the animal's weight data for the current day, and the animal's identity information.

[0049] The feed conversion ratio calculation unit is used to determine the feed conversion ratio of each animal based on its daily feed intake and weight change.

[0050] The programmable controller is also used to store the daily feed intake, weight change, and feed conversion ratio of each animal in an SD card, and to send the daily feed intake, weight change, and feed conversion ratio of each animal to a database for storage through a gateway.

[0051] It should be noted that the monitor in this embodiment is not limited to PLC; other microprocessors with data acquisition capabilities, such as 51 microcontrollers, STM32, and ESP32, can also be used for data acquisition.

[0052] In another exemplary embodiment, the animal feed-to-weight ratio monitoring system further comprises a wireless transmission module 105.

[0053] (V) The wireless transmission module 105 uses the Techphant Ultra-Narrow Band (TPUNB) protocol to transmit the weight data collected by the weight measurement module 101, the feed box weight data collected by the feed box measurement module 102, and the identity information identified by the identity recognition module 103 to the data processing module 104.

[0054] In one specific application example, the wireless transmission module 105 is a Data Transfer Unit (DTU). The weight measurement module 101, the feed box measurement module 102, and the identity recognition module 103 transmit the timestamp, chip ID, weight data, and feed box weight data to the data processing module 104 through the DTU. After calculating the feed-to-weight ratio, all collected information is sent to the cloud database through the gateway.

[0055] The wireless transmission module 105 includes a TPUNB wireless data receiver and a wireless data transmitter, which can convert RS485 signals to wireless transmission mode and realize the function of PLC wireless collection of weight sensors and chip IDs.

[0056] In this application, the data processing module 104 includes a touch screen, a PLC, a gateway, a leakage protection switch, and a switching power supply. The specific working process is as follows: the wireless data receiver is installed at the RS-485 communication interface of the PLC, and the wireless data transmitter is installed at the weight measurement module 101, the feed box measurement module 102, and the identity recognition module 103. The PLC collects weight sensors and animal identity information wirelessly through the TPUNB protocol. By subtracting the feed box weight at the same time from the feed box weight data of the previous day and the feed box weight data of the current day, the animal's daily feed intake is obtained. By subtracting the animal's weight data of the previous day from the animal's weight data of the current day, the animal's daily weight change is obtained. By dividing the feed intake by the weight change, the animal's daily feed-to-weight ratio is obtained. All or part of the above data is stored in the SD card in real time, and the PLC communicates with the touch screen through TCP / IP network cable for data storage and viewing display. The data in the PLC and the touch screen are connected to the gateway through TCP / IP, and the gateway is used to forward the data to the cloud database for storage. The leakage protection switch is used for circuit protection and overall circuit control, and the switching power supply converts 220V AC power into 24V DC power to power the PLC, touch screen, and gateway.

[0057] The cloud database is used for data storage and classification, which can be MySQL, PostgreSQL, etc. Specifically, as shown in FIG. 6, the cloud database is connected to the gateway through the Internet, and the gateway is connected to the PLC through the TCP / IP network cable. Figure 4As shown, the cloud database arranges the data forwarded by the gateway in chronological order. If it is the first time the data is imported, a new table is created and the data is stored. Otherwise, the database finds the date in each column of the table that is closest to the date in each column of the imported data and inserts the data column at the end of the corresponding table column to complete the data storage and classification.

[0058] The animal feed conversion ratio monitoring system provided in this application can be installed in any type of farming, including but not limited to cage farming and floor farming. It requires no modification to the animal cage structure and can accurately weigh and identify individual animals based on their weight and feed intake.

[0059] The overall workflow of the animal feed conversion ratio monitoring system provided in this application is as follows: a micro RFID animal tag chip is implanted subcutaneously into the abdominal cavity of an animal using a sterile syringe. When the animal with the implanted RFID animal tag chip steps onto the weighing platform or eats, the RFID identification chip reads the information from the RFID animal tag chip. Figure 5 As shown, in the data processing module 104, initialization and setting of the reading time interval are performed first. The data processing module 104 can read weight data, feed box weight data, and identification information in two ways: The first method is timed acquisition, which acquires weight data, feed box weight data, identification information, and time data every certain time interval (e.g., 30 seconds) and stores them in the data storage area. The second method is triggered acquisition, where the data processing module 104 reads identification information cyclically. When identification information is read, it indicates that an animal is standing on the weighing platform or in front of the feed box. At this time, the data processing module 104 starts reading weight data, feed box weight data, and time data simultaneously with the identification information. When the identification information is empty, reading stops after a certain delay and the read data is recorded in the data storage area. The purpose of stopping reading after a certain delay is to determine the weight reading when the weighing platform is unloaded. If the weight value is not 0 when there is no animal, it indicates that the weighing platform needs to be calibrated. The above two modes can be switched according to user needs. Data collected by multiple weight sensors needs to be converted from resistance signals to digital signals by a transmitter. The transmitter, along with the identified identity information, then transmits the data to the PLC via the TPUNB wireless communication protocol for wireless monitoring. The PLC stores the data on an SD card and sends it to a cloud database through a gateway.

[0060] Figure 5 The process shown obtains the animal's weight data, but this data is raw and still needs to be processed and calibrated. See the detailed calibration procedure below. Figure 6In this application, RFID identification chips that can only read one chip can be used, or RFID identification chips that can simultaneously read multiple chips can be used. Since the first weighing table can only accommodate one animal, there is no situation where multiple animals are above the first weighing table, so under normal circumstances, only the identity information of one animal is read. However, there may be a situation where two animals have part of their bodies on the first weighing table, in which case two identity information will be read, which needs to be excluded through the following data cleaning process:

[0061] As shown in Figure 6 When the weight collected by the first weight sensor exceeds the set value (such as 20g), it is considered that an animal is on the first weighing table at this time, a sliding window is established, and the window value is set to 6, i.e. 6 data as a group. All data is detected by sliding, and when the standard weight x 0.8 ≤ the weight collected by the first weight sensor ≤ the standard weight x 1.2, it is considered to be within the normal animal weight range, rather than having part of the animal's body on the first weighing table. At the same time, the number of values within the window that meet this condition is 6, and the difference between the maximum and minimum values within the window is ≤ 3g, so it is considered that the value is stable at this time, and the animal is stable on the first weighing table. The average value within the window is recorded as W1.

[0062] When the weight collected by the first weight sensor does not exceed the set value (such as 20g), the weight data is calibrated, and the data is read in the same way as the sliding window (such as 1 data every 30 seconds). When the data within the window is 6, and the difference between the maximum and minimum values within the window is ≤ 1g, it is considered that there is no animal on the first weighing table and it is stable. The average value of the values within the window is recorded as the error value α. At the same time, when the load is empty, i.e. the weight > 5g, the staff is reminded to calibrate.

[0063] Then find the error value α before the current time, if it does not exist, α is recorded as 0. Then calculate the difference between W1 and α to get the animal's weight data. The weight data and time are stored.

[0064] Figure 6 The real weight data of the animal's weight is obtained, and the animal's weight data needs to be corresponded to the identity information, and then the daily feed ratio of each animal is calculated by the daily feed intake, and the specific process is shown in Figure 7

[0065] It should be noted that since the feed ratio reflects the conversion of feed to meat weight by the animal, and the conversion of feed to meat weight takes time, the daily feed ratio data is obtained, and there is no specific meaning to obtain real-time feed ratio, and the error is large and difficult to operate. Figure 6 、 Figure 7 The data traversed in the process is historical data, which is analyzed by PLC on the data of the previous day to obtain the daily feed ratio value of the previous day, rather than real-time analysis.​

[0066] Figure 7 The data processing workflow includes: daily weight data acquisition and daily food intake data acquisition.

[0067] Regarding the acquisition of daily weight data, through Figure 6 The process involves obtaining weight data, acquiring animal weight data and time, and matching the weight data with identity information to obtain different weight data for each animal within a day. Since this application is based on animals voluntarily climbing the first weighing platform driven by natural behavior, it cannot guarantee accurate weight collection of different animals before and after feeding. However, experiments have shown that different animals will alternate climbing the first weighing platform within a day, allowing for multiple acquisitions of different animals' weight data within a single day. To calculate the daily feed conversion ratio, weight data before daily feeding is needed. Based on the above, this application uses linear fitting of multiple weight data points for different animals within a day to obtain the pre-feeding weight data for each animal. The daily weight data is then subtracted from the previous day's weight data to obtain the daily weight change, providing data support for calculating the daily feed conversion ratio.

[0068] The purpose of linear fitting of all weight data for a day is to obtain the animal's weight before feeding. Specifically: Since this application passively collects animal weight data, the data is only collected when the animal is standing on the weighing platform. Therefore, it cannot be guaranteed that the animal will be standing on the first weighing platform before feeding. If the animal is standing on the first weighing platform 2 hours before and 2 hours after feeding, and the data is found to be stable and reliable after data cleaning, then linear fitting is performed (e.g., if feeding is at 8:00, then the animal's weight value at 8:00 is fitted) for subsequent calculation of feed conversion ratio.

[0069] To acquire daily feed intake data, the historical feed intake data is iterated through, and the difference between the current time and the previous time of the second weight sensor is calculated and denoted as D1. Time recording begins when D1 ≥ -2g and the number of identity information is ≥ 1, or when D1 ≥ 100g and the number of identity information is ≥ 1. When D1 = 0g, it means that the animal has stopped feeding, and the timing is stopped. The accurate feeding time corresponding to each identity information is obtained. This process is repeated until the historical feed intake data is completely traversed and the last value is reached.

[0070] It should be noted that the first case "D1≥-2g and the number of identity information≥1" is that the animal's head is deep into the feeder to pick up feed, so the total weight of the feed is reduced, and the real situation is that the animal starts to eat; the second case "D1≥100g and the number of identity information≥1", since small animals (such as rabbits) are used to lifting their front limbs to the feeder when eating, and their heads are inserted into the feeder to eat, so when the weight of the feeder is greatly increased and the number of identity information≥1, it indicates that the animal is standing in front of the feeder at this time, and the front limbs are resting on the feeder, and the animal starts to eat; the third case, the animal first eats, and the program detects that the amount of feed is reduced, at this time the timing starts, if the animal places the front limbs on the feeder at this time, D1≠0g, and the timing still continues; if the animal's front limbs are resting on the feeder during the eating process, and no eating occurs, only the feeder is resting, then D1=0g at this time, and the timing stops, and if it rests on the feeder for a period of time, such as 10s, and then eats again, D1 will be≤-2g at this time, and the timing continues.

[0071] The setting of the above conditions can effectively ensure the accurate recording of different eating situations of the animals. The eating time of different animals in a day and the proportion of the eating time of different animals to the total eating time of all animals are finally counted.

[0072] Specifically, the identity information of the animal is obtained when the animal stands in front of the feeder. Since the animal may only stand in front of the feeder and does not eat, the animal's start eating is not recorded at this time. The change of the weight of the feeder and the detection of the identity information of the animal are used as the marker state of the start of the animal's eating, and the stop of the decrease of the weight of the feeder is used as the marker state of the stop of the eating, so as to obtain the eating time of the animal in a day. If multiple animals eat at the same time, multiple identity information is obtained in the eating time. For example, two animals eat at the same time, two identity information is identified, and the two animals continuously eat for 2 minutes, so the eating time of each identity information is 2 minutes. If the continuous eating time is 2 minutes, one identity information exists for 1 minute, and the other identity information exists for 2 minutes, the eating time of one animal is 1 minute, and the eating time of the other animal is 2 minutes.

[0073] After traversing all the data, the weight difference between the weight after feeding the day before and the weight before feeding the day is calculated, which is the daily feeding amount of a single cage. Then the proportion of the eating time of different animals to the total feeding amount of a single cage is multiplied to obtain the daily feeding amount of each animal.

[0074] The ratio of the daily feed intake to the daily body weight change amount is taken as the daily feed weight ratio, and the time, the daily feed intake, the daily body weight change amount, and the daily feed weight ratio are stored in the data processing module 104.

[0075] The present application realizes real-time collection of livestock and poultry body weight and feed quantity in the feed box through a weighing table and a weight sensor. The weighing table + weight sensor can be quickly installed and removed in the existing cage. By implanting a miniature RFID animal tag chip under the abdomen of the animal, the RFID identification chip and the coil are embedded in the weighing table. When the animal eats or lies / stands on the weighing table, the chip ID is read to distinguish different animals. The data is sent to the PLC through the TPUNB protocol, and the data is displayed and stored through the touch screen. The data of the PLC and the touch screen is sent to the gateway through TCP / IP, the gateway uploads the data to the cloud database, and the processed data is stored and classified to ensure the orderly management and efficient use of the data. The small cage animal "identity recognition-real-time weighing-wireless transmission" full-process closed-loop monitoring is realized, which can accurately identify the animal identity, record the body weight and feed intake change of different animal individuals in the cage system, transmit data through a wireless communication protocol, and help large-scale data collection application in the livestock farm, thereby providing reliable technical support for feed weight ratio monitoring and scientific breeding management.

[0076] It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties, and the collection, use and processing of related data need to comply with relevant regulations.

[0077] In the present application, all actions of obtaining signals, information or data are carried out in compliance with the corresponding data protection regulations and policies of the country where the device is located, and with the authorization given by the owner of the corresponding device.

[0078] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiments of the methods can be included. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0079] The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a blockchain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0080] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above embodiments are not described, but as long as the combinations of the technical features do not exist, they should be considered as the scope of the present application.

[0081] The principles and implementation modes of the present application are described by applying specific examples herein. The above description of the embodiments is only used to help understand the method and its core idea of the present application; meanwhile, for those skilled in the art, according to the idea of the present application, the specific implementation mode and application range can be changed. In conclusion, the content of the present application should not be understood as a limitation.

Claims

1. An animal feed weight ratio monitoring system, characterized in that, The system includes: The weight weighing module is installed in the animal's cage to collect the weight data of each animal in the cage. The feed box weighing module is located below the feed box in the feeding cage and is used to collect the weight of the feed in the feed box to obtain the weight data of the feed box. An identification module is installed on the weight weighing module, the feed box weighing module, and the animal in the feeding cage. It is used to identify the animal's identity and obtain the corresponding animal's identity information when collecting the animal's weight data and feed box weight data. The data processing module is used to determine the feed intake of each animal based on the feed box weight data and the animal's identity information, and to calculate the feed conversion ratio of each animal based on the animal's weight data, feed intake and corresponding identity information.

2. The animal feed weight ratio monitoring system according to claim 1, characterized in that, The weight weighing module includes a first weighing platform and a first weight sensor; the first weight sensor is disposed at the bottom of the first weighing platform; the first weighing platform is used to accommodate one animal; the first weight sensor is used to collect the weight on the first weighing platform in real time to obtain the weight data of each animal.

3. The animal feed weight ratio monitoring system according to claim 2, characterized in that, The weight weighing module further includes a processor; the processor is connected to the first weight sensor, and the processor is used for: Real-time determination of whether the weight collected by the first weight sensor exceeds the set value; When the weight collected by the first weight sensor exceeds the set value, and the weight collected by the first weight sensor is greater than or equal to a first set multiple of the standard body weight and less than or equal to a second set multiple of the standard body weight, the animal's preliminary body weight is determined based on the difference between the maximum and minimum weight values ​​within the set sliding window; the first set multiple is less than the second set multiple. When the weight collected by the first weight sensor does not exceed the set value, the error value is determined based on the weight within the set sliding window; Based on the preliminary weight and the error value, the weight data of the animal on the first weighing platform is determined.

4. The animal feed weight ratio monitoring system according to claim 1, characterized in that, The feed box weighing module includes a second weighing platform and a second weight sensor; the second weighing platform is located below the feed box in the feeding cage, and the second weight sensor is located at the bottom of the second weighing platform; the second weight sensor is used to collect the weight of the feed in the feed box.

5. The animal feed weight ratio monitoring system according to claim 1, characterized in that, The identification module includes: a coil, an RFID identification chip, and an RFID animal tag chip; the coil and the RFID identification chip are embedded in the weight weighing module and the feed box weighing module; the RFID animal tag chip is placed on the animal; the RFID identification chip is used to read the RFID animal tag chip carried by the corresponding animal when the animal enters the weighing range of the weight weighing module or the weighing range of the feed box weighing module, so as to obtain the identification information of the corresponding animal.

6. The animal feed weight ratio monitoring system according to claim 1, characterized in that, The system also includes: The wireless transmission module is used to transmit the weight data collected by the weight weighing module, the weight data of the material box collected by the material box weighing module, and the identity information identified by the identity recognition module to the data processing module using the Taifeng ultra-narrowband communication protocol.

7. The animal feed weight ratio monitoring system according to claim 1, characterized in that, The data processing module is also used to periodically or trigger the reading of weight data, utensil box weight data, and identity information.

8. The animal feed weight ratio monitoring system according to claim 1, characterized in that, The data processing module includes: The feed box weight data processing unit is used to determine the daily feed intake of each animal based on the feed box weight data of the previous day, the feed box weight data of the current day, and the animal's identity information. The weight data processing unit is used to determine the weight change of each animal within a day based on the animal's weight data from the previous day, the animal's weight data for the current day, and the animal's identity information. The feed conversion ratio calculation unit is used to determine the feed conversion ratio of each animal based on its daily feed intake and weight change.

9. The animal feed weight ratio monitoring system according to claim 8, characterized in that, The material box weight data processing unit, the body weight data processing unit, and the material weight ratio calculation unit are all computer programs running in a programmable controller.

10. The animal feed weight ratio monitoring system according to claim 9, characterized in that, The programmable controller is also used to store the daily feed intake, weight change, and feed conversion ratio of each animal in an SD card, and to send the daily feed intake, weight change, and feed conversion ratio of each animal to a cloud database for storage through a gateway.

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