CN118034459A

CN118034459A - Wearable device, method, equipment and computer readable storage medium for real-time weighing of poultry

Info

Publication number: CN118034459A
Application number: CN202410171172.9A
Authority: CN
Inventors: 田冰川; 余沛毅; 贾高峰
Original assignee: Huazhi Biotechnology Co ltd
Current assignee: Huazhi Biotechnology Co ltd
Priority date: 2024-02-06
Filing date: 2024-02-06
Publication date: 2024-05-14

Abstract

The application provides a wearable device, a method, equipment and a computer readable storage medium for real-time weighing of poultry, wherein the wearable device comprises: the device comprises a data acquisition module, a data processing module and a power management module, wherein the data acquisition module is used for acquiring leg pressure data when the poultry stands; the data processing module is used for processing the data acquired by the data acquisition module and uploading the processed data to the server; the power management module comprises a battery management system and a plurality of in-line charging clamping grooves and is used for charging the wearable device. According to the scheme provided by the embodiment of the application, the real-time monitoring and data recording of the weight of the poultry are realized by fixing the small-sized and light wearable equipment on the leg of the poultry. Thereby improving the cultivation efficiency and reducing the workload of manual measurement. Meanwhile, the capability of communication with the cloud enables a breeder to conveniently conduct remote monitoring and management, so that the breeding efficiency and the level of data management are improved.

Description

Wearable device, method, equipment and computer readable storage medium for real-time weighing of poultry

Technical Field

The application relates to the technical field of poultry farming, in particular to a wearable device, a method, equipment and a computer readable storage medium for weighing poultry in real time.

Background

Along with the development of economy, the living standard of people is continuously improved, and the demand quantity of various meats is rapidly developed, so that the breeding industry of meat and poultry is also developed. Because human has higher requirements on self health, the awareness of the safety and environmental protection of the aquaculture products is enhanced, and along with the steady development of socioeconomic performance, under the guidance of the Internet of things technology, in order to realize fine aquaculture and management and the tracing and management of the aquaculture products, intelligent aquaculture becomes the sustainable development trend of the aquaculture industry.

Currently, in the process of raising meat poultry, the weight of the poultry is an important index for measuring whether the poultry is healthy, and for the poultry raised in the cage, weight measurement may need to be performed by using weighing equipment in the cage, but the poultry cannot move in the equipment and only one poultry can be weighed at a time; if the poultry is in a free-range mode, a great deal of manpower and material resources are consumed to grab the poultry and put the poultry on a scale or close the poultry in a cage for weighing, so that a convenient weighing means is lacked.

Disclosure of Invention

Aspects of the present application provide a wearable device, method, apparatus and computer readable storage medium for real-time weighing of birds, which can help a breeder to grasp the growth condition of birds more accurately by fixing the wearable device on the legs of the birds, thereby improving the breeding benefit and solving the technical problem of low efficiency of weight measurement of the birds in the existing bird breeding process.

To achieve the above technical effects, an aspect of the present application provides a wearable device for real-time weighing of birds, comprising: the system comprises a data acquisition module, a data processing module and a power management module, wherein,

The data acquisition module is used for acquiring leg pressure data when the poultry stands;

The data processing module is used for processing the data acquired by the data acquisition module and uploading the processed data to the server;

The power management module comprises a battery management system and a plurality of in-line charging clamping grooves and is used for charging the wearable device.

According to a preferred embodiment of the present invention, the data acquisition module further comprises:

the pressure sensor is used for collecting the pressure of the legs of the poultry when standing;

and the signal amplifier is used for amplifying the voltage output by the pressure sensor through the signal amplifying circuit.

According to a preferred embodiment of the present invention, the data processing module further comprises:

The analog-to-digital converter is used for converting the analog signal sent by the signal amplifier into a digital signal;

and the communication unit is used for communicating with the server through the Bluetooth module and/or the WiFi module and uploading the calculated weight to the server.

According to a preferred embodiment of the present invention, the data processing module further comprises a microcontroller, in which an operating program is arranged, for receiving the digital signal from the analog-to-digital converter and mapping the digital signal to an actual weight range.

According to a preferred embodiment of the invention, the formula for calculating the weight of the bird is: weight=scale_factor (adc_value-adc_zero), where Weight is the actual body Weight Value, scale_factor is the calibration coefficient, adc_value is the digital signal output by the analog-to-digital converter, and adc_zero is the offset for ZERO calibration.

According to a preferred embodiment of the invention, determining the calibration factor comprises the steps of:

Obtaining a test sample of known quality;

Measuring the test samples by using measuring equipment, and recording digital signal values corresponding to each test sample;

And performing linear fitting on the digital signal values to obtain the calibration coefficient.

According to a preferred embodiment of the invention, the wearable device is a ring-shaped structure comprising a plurality of size-adjustable straps and a positioning module.

In another aspect of the application, there is provided a method for real-time weighing of poultry, comprising:

Collecting leg pressure data of poultry when standing;

Calculating a weight range value for the bird based on the data;

and uploading the weight range value to a server.

In another aspect of the application, there is provided an electronic poultry feeding supervision apparatus, the apparatus comprising:

At least one processor; and

A memory communicatively coupled to the at least one processor; wherein,

The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method as described above.

In another aspect of the application, a computer readable storage medium having stored thereon computer program instructions executable by a processor to implement the above-described method is provided.

In the scheme provided by the embodiment of the application, the weight of the poultry is measured in real time by fixing small and light wearable equipment on the legs of the poultry, and advanced sensing technology and intelligent design are introduced, so that the real-time monitoring and data recording of the weight of the poultry are realized. Thereby improving the cultivation efficiency and reducing the workload of manual measurement. Meanwhile, the capability of communication with the cloud enables a breeder to conveniently conduct remote monitoring and management, so that the breeding efficiency and the level of data management are improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.

Other features, objects and advantages of the present application will become more apparent upon reading of the detailed description of non-limiting embodiments, made with reference to the accompanying drawings in which:

fig. 1 is a schematic diagram of a wearable device for real-time weighing of birds according to an embodiment of the present application;

FIG. 2 is a flow chart of a method for real-time weighing of birds according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of an apparatus suitable for implementing the scheme in an embodiment of the present application.

The same or similar reference numbers in the drawings refer to the same or similar parts.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

In one exemplary configuration of the application, the terminal, the devices of the services network each include one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.

Computer-readable media include both permanent and non-permanent, removable and non-removable media, and information storage may be implemented by any method or technology. The information may be computer program instructions, data structures, modules of the program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape storage or other magnetic storage devices, or any other non-transmission medium which can be used to store information that can be accessed by a computing device.

In an actual scenario, the execution body of the method may be a user device, or a device formed by integrating the user device and a network device through a network, or may also be an application running on the device, where the user device includes, but is not limited to, various terminal devices such as a computer, a mobile phone, a tablet computer, a smart watch, a bracelet, and the network device includes, but is not limited to, a network host, a single network server, a plurality of network server sets, or a computer set based on cloud computing, where the network device is implemented, and may be used to implement a part of processing functions when setting an alarm clock. Here, the Cloud is composed of a large number of hosts or web servers based on Cloud Computing (Cloud Computing), which is a kind of distributed Computing, one virtual computer composed of a group of loosely coupled computer sets.

To achieve the solution of the present invention, the present invention provides a wearable device, method, apparatus and computer readable storage medium for real-time weighing of birds. A small wearable device is designed, which can be tied on the legs of poultry. When the birds stand, the weight of the birds can be measured.

Fig. 1 is a schematic flow chart of a wearable device for real-time weighing of poultry according to an embodiment of the present application, where the wearable device at least includes the following modules:

The data acquisition module 11, the data processing module 22 and the power management module 33.

Specifically, the data acquisition module 11 comprises a pressure sensor and a signal amplifier, wherein the pressure sensor is used for acquiring the pressure of the leg when the poultry stands; the signal amplifier is used for amplifying the voltage output by the pressure sensor through the signal amplifying circuit.

The pressure sensor may be FlexiForce pressure sensor, wherein the weight of the bird is inferred by measuring the pressure inside the device, and when a force is applied to the sensor surface, the conductive material deforms, resulting in a change in the resistance value.

The resistance value changes due to the deformation of the conductive material. Typically, the resistance value decreases as the force increases; when the stress is reduced, the resistance value is increased. This is due to the change in the electrical conduction path inside the conductive material. The following formula may be used:

Wherein V _out is the output voltage of the sensor; v _in is the input voltage of the sensor, i.e. the voltage applied across the sensor. R _sensor is the resistance of the sensor; r _total is the total resistance when the sensor and external resistor are connected in series.

The resistance R _sensor of the sensor can be looked up by a specification table (datasheet) of the sensor or a manufacturer supplied document. R _total refers to the total resistance connected in series with the sensor resistance R _sensor. In the sensor's circuit, the resistance R _sensor of the sensor itself and other external resistances may be included. These external resistances may be present to adjust the operating range of the sensor, increase the sensitivity of the circuit, or meet specific circuit design requirements. To obtain the exact value of R _total, the circuit design or specification of the sensor is looked up to see all the resistive elements contained in the sensor circuit and then the resistive values of their series connections are added.

A signal amplification circuit (Amplifier) is directly connected to the pressure sensor to amplify the weak signal output by the pressure sensor. The output of the signal amplification circuit is connected to the input of an analog-to-digital converter (ADC). Since the voltage output by the pressure sensor is typically small, it needs to be amplified by a signal amplification circuit to a range that can be effectively read by an analog-to-digital converter (ADC). The amplifying circuit in the embodiment of the invention is constructed based on an operational amplifier (Operational Amplifier, op-Amp). The basic formula of the amplifying circuit is:

Where V _{out_amplified} is the amplified output voltage. V _in is the input voltage, i.e. the voltage applied at the input of the circuit; r _f is the feedback resistance; r _in is the input resistance. Wherein feedback resistor R _f determines the amplification of the circuit and input resistor R _in determines the input impedance of the circuit.

The values of R _f and R _in are selected according to the required magnification. Such as:

(1) Determining the required magnification:

First, a multiple of the input signal that the circuit is expected to amplify is determined. For guiding the selection of the value of the feedback resistance. Typically, the multiple of R _f can be chosen to be between 2 and 10, which can provide a modest amplification effect. Large amplification factors may introduce noise, drift and instability, ensuring that the selected factor does not cause the output voltage to exceed the power supply range. Otherwise, the circuit may not function properly. The best configuration is found by selecting different multiples of R _f and observing the waveform and stability of the output.

(2) The feedback resistor R _f is selected:

using the formula of magnification Where A is the required magnification, and R _f is solved.

(3) Selection input resistor R _in:

An appropriate input resistor is selected to meet the input impedance requirements of the circuit. The input resistance should generally be large so as not to affect the performance of the circuit being measured. In order to avoid influencing the connected sensor or signal source, a higher input resistance is generally selected. The higher the input resistance, the less impact on the signal source. The present invention selects an input resistance value in the range of several kiloohms to several megaohms. Actual measurements and adjustments may be made to find the optimal input resistance value. The response of the circuit to the input signal is observed, especially at different frequencies and power supply conditions.

The data processing module 22 includes an analog-to-digital converter and a communication unit, where the analog-to-digital converter is used to convert the analog signal sent by the signal amplifier into a digital signal; the communication unit is used for communicating with the server through the Bluetooth module and/or the WiFi module, and uploading the calculated weight to the server.

Specifically, the amplified signal is converted into a digital signal by an analog-to-digital converter (ADC). The analog-to-digital converter divides the input range into discrete digital values that represent different levels of the analog input voltage.

The output formula is as follows:

Wherein: ADC_ Aalue is the digital output value of the ADC; v _{out_amplified} is the amplified signal; v _ref is the reference voltage of the ADC; n is the number of bits (number of bits) of the ADC, representing the number of discrete numbers that the ADC can produce.

V _ref is selected to be within the range of supply voltages used by the microcontroller or ADC chip. For example, if the chip is operating at 5V power, V _ref = 5V may be selected. n represents the number of digits of the number that the ADC can produce. For example, a 10-bit ADC may produce 2 ¹⁰ =1024 different numbers. The number of bits selected determines the resolution of the ADC, i.e. the minimum voltage variation that can be distinguished.

The data processing module 22 further includes a microcontroller, which has an operating program (embedded software, such as FreeRTOS) disposed therein, for receiving the digital signal from the analog-to-digital converter, performing subsequent calculations, and mapping the digital signal to an actual weight range. Firstly, the microcontroller acquires a digital signal output by the sensor through the ADC module, and then converts the ADC output into an actual weight value by using a calibration coefficient determined in advance. This includes mapping the digital signal to a range of actual body weights. Zero calibration is applied again, by adding or subtracting an offset (adc_zero), to ensure that the reading is Zero when there is no weight. And finally, the calculated actual weight value is used for an application program and is displayed or transmitted to a server.

The formula for calculating the weight is as follows: weight=scale_factor (adc_value-adc_zero), where Weight is the actual body Weight Value, scale_factor is the calibration coefficient, adc_value is the digital signal output by the analog-to-digital converter, and adc_zero is the offset for ZERO calibration.

In weight measurement applications, the calibration Factor Scale_Factor is used to convert the ADC value to the actual weight. The calibration coefficients need to be determined by performing a calibration procedure. Specific:

(1) Preparing a test sample of known mass: some test sample of known mass is obtained, for example using a standard weight or other accurate mass measurement tool. Ensuring that the quality of these test samples can cover the range of desired measurements.

(2) Collecting ADC values: the test samples are placed on a measurement device and the corresponding ADC value for each sample is recorded. Ensure that the acquired data covers the entire measurement range.

(3) Linear fitting was performed: and (3) performing linear fitting by using the acquired data to find a linear relation between the ADC value and the actual quality. The equation for the linear relationship is generally expressed as:

Weight＝m*ADC_Valu+b

where m is the slope, i.e. the calibration Factor scale_factor.

(4) Determining a calibration coefficient m: the slope m obtained by linear fitting is the calibration coefficient. It represents the proportional relationship between the ADC value and the actual mass.

(5) Determining a zero point offset b: b in the fit equation is the ZERO offset, representing the ADC value at ZERO load, i.e., adc_zero in the output body weight value equation above. In practical applications, calibration of the zero point needs to be considered. The zero offset b should be as close to zero as possible, but there may sometimes be some deviation in view of the characteristics of the sensor and environmental factors.

(6) And (3) verification and calibration: verification was performed using other test samples that did not participate in the fit, ensuring that the calibration of the calibration coefficients and zero offset was valid across the entire range.

(7) Dynamic adjustment: in practical applications, it is also necessary to dynamically adjust the calibration coefficients during operation to accommodate environmental changes, temperature changes, and the like.

Based on the above-described processing procedure, for example: the analog voltage range of the sensor output is 0V to 5V, the signal amplifying circuit amplifies the analog voltage range to 0V to 2.5V, and the output range of the ADC is 0 to 1023. The program on the microcontroller is responsible for converting the ADC output to the actual weight value. The data table is as follows:

In the above table, each row represents an acquired data point including the analog voltage output by the sensor, the voltage after signal amplification, the digital output of the ADC, and the actual weight value calculated by the microcontroller.

The communication unit comprises a bluetooth low energy module (e.g., HS 6220) or a WiFi module, and the microcontroller transmits the measured weight value to the bluetooth module or the WiFi module through a serial port, and then transmits the measured weight value to an external device or a server in a wireless manner through a bluetooth signal or through the WiFi module.

The data is transmitted through the Bluetooth module, and after the Bluetooth module is connected to the microcontroller, the Bluetooth module is set, and basic parameters of the Bluetooth module, such as Bluetooth names, baud rates, pairing modes and the like, are set in a program or through AT commands. In the program of the microcontroller, the measured weight value is sent to the connected Bluetooth module through a serial port, and the weight value is realized by using a serial port communication library or an API. After receiving the data from the microcontroller, the Bluetooth module encapsulates the data into Bluetooth signals and transmits the Bluetooth signals through a Bluetooth protocol. The method comprises the steps of packaging the data, adding check bits and the like so as to ensure reliable transmission of the data.

Bluetooth module data packing and unpacking:

packaging data:

(1) Formatting data: the data to be transmitted is encoded in a certain format. In BLE, data may exist in the form of attributes (Attribute).

(2) Header information is added: header information is added for identifying the data type, length, etc. In BLE, the GATT protocol defines the structure of attributes.

(3) Segmentation data: in BLE, the size of the data packet is limited and large data may need to be partitioned into small blocks.

(4) Adding a checksum: the checksum may be added by CRC or the like in BLE communication.

Unpacking data:

(1) Parsing header information: the receiving end firstly analyzes the header information of the data packet to know the information of the transmitted data type, length and the like.

(2) And (3) verifying a checksum: the integrity of the received data packet may also be verified using CRC or the like in BLE communications.

(3) Merging the data blocks: if the data is divided into blocks, the receiving end needs to merge the blocks into complete data.

(4) Decoding: the data is decoded according to a predetermined format to restore the format of the original data.

If a WiFi module is used, it is first necessary to connect to a WiFi network. The process involves configuring network parameters of the WiFi module, such as SSID (network name) and password. Once connected to the WiFi network, the WiFi module establishes a communication connection with a router or access point in the network. The WiFi module waits to receive data sent from the network. This may be done via a network protocol such as TCP (transmission control protocol) or UDP (user datagram protocol). Once the data is sent to the device in which the WiFi module is located, the WiFi module receives the data. A connection is then established with the receiving end, which may be through an IP address and port number between the devices. An appropriate transport protocol is selected, such as TCP or UDP. The data is transmitted to the receiving end in a wireless mode through the WiFi module. This process involves encapsulating the data into data packets and ensuring reliable transmission of the data.

WiFi module data packing and unpacking:

packaging data:

(1) Formatting data: the data to be transmitted is encoded in a certain format.

(2) Header information is added: header information is added in front of the data for identifying the data type, length, check, etc. In the TCP/IP protocol stack, both TCP and UDP have their own header information.

(3) Segmentation data: for large data, it may be necessary to divide it into small blocks, each put into a data packet.

(4) Adding a checksum: checksum or redundancy check information is added to the data packet.

Unpacking data:

(2) And (3) verifying a checksum: the checksum of the received data packet is verified to ensure the integrity of the data.

Bluetooth is typically designed as a low power protocol and thus may be more focused on reducing power consumption when processing data. WiFi is typically used in scenes that require higher rates but relatively high power consumption.

Preferably, the wearable device is of a ring-shaped structure, comprising a plurality of buckle belts with adjustable sizes, and the adjustable buckle belt system is used for adjusting according to the leg sizes of birds, so that the equipment can adapt to birds with different sizes.

And (3) anti-drop design: it is contemplated that multiple straps may be used instead of a single strap to increase stability of the fixation and prevent the device from loosening during movement of the bird.

Anti-biting design: avoiding using materials which are easy to be bitten by birds, selecting durable and not easy to be damaged buckle belt materials, and using silica gel materials.

Preferably, the wearable device further comprises a positioning module for positioning the poultry in real time.

Fig. 2 is a flowchart of a method for weighing birds in real time according to an embodiment of the present application, as shown in fig. 2, the method includes:

S101, collecting leg pressure data when poultry stand;

S102, calculating a weight range value of the poultry according to the data;

s103, uploading the weight range value to a server.

The method may be implemented by the wearable device in the foregoing embodiment, where the data acquisition module 11 performs step S101 to acquire leg pressure data when the bird stands; the data processing module 22 executes step S102 to calculate the weight range value of the bird according to the data; the power management module 33 performs step S103 to upload the weight range value to the server.

Based on the same inventive concept, the embodiment of the present application further provides an electronic device, where the method corresponding to the electronic device may be the model training method for flow screening and the flow screening method in the foregoing embodiments, and the principle of solving the problem is similar to that of the method. The electronic equipment provided by the embodiment of the application comprises: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the methods and/or aspects of the various embodiments of the application described above.

The electronic device may be a user device, or a device formed by integrating the user device and a network device through a network, or may also be an application running on the device, where the user device includes, but is not limited to, a computer, a mobile phone, a tablet computer, a smart watch, a bracelet, and other various terminal devices, and the network device includes, but is not limited to, a network host, a single network server, a plurality of network server sets, or a computer set based on cloud computing, where the network device is implemented, and may be used to implement a part of processing functions when setting an alarm clock. Here, the Cloud is composed of a large number of hosts or web servers based on Cloud Computing (Cloud Computing), which is a kind of distributed Computing, one virtual computer composed of a group of loosely coupled computer sets.

Fig. 3 shows a structure of a device suitable for implementing the method and/or technical solution in an embodiment of the present application, the device 1200 includes a central processing unit (CPU, central Processing Unit) 1201, which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 1202 or a program loaded from a storage portion 1208 into a random access Memory (RAM, random Access Memory) 1203. In the RAM 1203, various programs and data required for the system operation are also stored. The CPU 1201, ROM 1202, and RAM 1203 are connected to each other through a bus 1204. An Input/Output (I/O) interface 1205 is also connected to the bus 1204.

The following components are connected to the I/O interface 1205: an input section 1206 including a keyboard, mouse, touch screen, microphone, infrared sensor, etc.; an output portion 1207 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), an LED display, an OLED display, or the like, and a speaker; a storage portion 1208 comprising one or more computer-readable media of hard disk, optical disk, magnetic disk, semiconductor memory, etc.; and a communication section 1209 including a network interface card such as a LAN (local area network ) card, a modem, or the like. The communication section 1209 performs communication processing via a network such as the internet.

In particular, the methods and/or embodiments of the present application may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. The above-described functions defined in the method of the present application are performed when the computer program is executed by a Central Processing Unit (CPU) 1201.

Another embodiment of the present application also provides a computer readable storage medium having stored thereon computer program instructions executable by a processor to implement the method and/or the technical solution of any one or more of the embodiments of the present application described above.

In particular, the present embodiments may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for carrying out operations of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).

The flowchart or block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of devices, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.

In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the elements is merely a logical function division, and there may be additional divisions in actual implementation, e.g., multiple elements or page components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.

The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to perform part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.

Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. A plurality of units or means recited in the apparatus claims can also be implemented by means of one unit or means in software or hardware. The terms first, second, etc. are used to denote a name, but not any particular order.

Claims

1. A wearable device for real-time weighing of birds, detachably secured to the legs of the birds, comprising: the system comprises a data acquisition module, a data processing module and a power management module, wherein,

2. The wearable device for real-time weighing of birds according to claim 1, wherein the data acquisition module further comprises:

3. The wearable device for real-time weighing of birds according to claim 2, wherein the data processing module further comprises:

4. A wearable device for real-time weighing of birds according to claim 3, wherein the data processing module further comprises a microcontroller, internally provided with an operating program, for receiving the digital signals from the analog-to-digital converter and mapping the digital signals to the actual weight range.

5. The wearable device for real-time weighing of birds according to claim 4, wherein the formula for calculating the weight of the birds is: weight=scale_factor (adc_value-adc_zero), where Weight is the actual body Weight Value, scale_factor is the calibration coefficient, adc_value is the digital signal output by the analog-to-digital converter, and adc_zero is the offset for ZERO calibration.

6. The wearable device for real-time weighing of birds according to claim 5, wherein determining the calibration factor comprises the steps of:

Obtaining a test sample of known quality;

7. The wearable device for real-time weighing of birds according to claim 1, wherein the wearable device is a loop-shaped structure comprising a plurality of size adjustable straps, and further comprising a positioning module.

8. A method for real-time weighing of birds, comprising:

Collecting leg pressure data of poultry when standing;

Calculating a weight range value for the bird based on the data;

and uploading the weight range value to a server.

9. A wearable electronic device for real-time weighing of birds, the electronic device comprising:

At least one processor; and

A memory communicatively coupled to the at least one processor; wherein,

The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of claim 8.

10. A computer readable medium having stored thereon computer program instructions executable by a processor to implement the method of claim 8.