Intelligent cattle and sheep necklace and data anti-counterfeiting method for configuration of intelligent cattle and sheep necklace and subcutaneous chip

Abstract

The invention discloses an intelligent cattle and sheep necklace and a data anti-counterfeiting method for configuration of the intelligent cattle and sheep necklace and a subcutaneous chip. The intelligent cattle and sheep necklace comprises a microprocessor, a positioning module, a body temperature sensing module, a motion sensing module, an RFID recognition module, a data encryption module, a communication module and a power supply module. The necklace can work normally after identifying subcutaneous implantable RFID tags of corresponding cattle and sheep through the RFID identification module, position information, body temperature information, gait information and the like of the cattle and sheep are recorded through data of each sensor, the data are transmitted to the microprocessor to be summarized and processed, a data stream is further encrypted, and the data stream is transmitted to the microprocessor. And the information is uploaded to a cloud platform through the communication module for information processing. In combination with the subcutaneous RFID tag, the necklace can be effectively prevented from being detached and stolen, the purpose that the necklace only serves one livestock in the whole process is achieved, the authenticity of the data source of the necklace sensor is guaranteed, and accurate control over the whole life cycle of cattle and sheep is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of livestock breeding management, and in particular to an intelligent cattle and sheep collar and a data anti-counterfeiting method configured with a subcutaneous chip. Background Art

[0002] With the development of smart farms, the cattle and sheep farming industry has entered a new intelligent era. As one of the important technologies, smart cattle and sheep collars integrate a variety of modern technologies such as the Internet of Things, sensor technology, wireless communication, and data analysis, which has brought significant efficiency improvements and changes in management methods for ranch management.

[0003] At present, full life cycle monitoring and information traceability of high-quality brand cattle and sheep from birth to slaughter is an important part of smart cattle and sheep breeding. Smart cattle and sheep collars play an important role in this. Various data indicators collected in real time are the basis for realizing full life cycle monitoring. The identity recognition of the collar is also conducive to the tracing and traceability of key links of cattle and sheep, such as immunization records, breeding circulation, variety traceability, etc.

[0004] In the process of realizing the present invention, the inventors found that the prior art has at least the following problems: the current smart cattle and sheep collars are relatively simple in identifying the identities of cattle and sheep, and there are security issues. It cannot be guaranteed that the smart cattle and sheep collars only serve one livestock throughout the entire process. There are situations where smart cattle and sheep collars are dismantled and stolen, and the authenticity of the data source of the smart cattle and sheep collar sensors cannot be guaranteed, resulting in the inability to accurately control the entire life cycle of high-quality cattle and sheep of a specific brand; at the same time, the encryption means for data uploaded by the sensor are insufficient, and data leakage may occur. Summary of the invention

[0005] The purpose of the present invention is to overcome one or more deficiencies in existing livestock breeding management and to provide a smart cattle and sheep collar and a data anti-counterfeiting method configured with a subcutaneous chip.

[0006] The objective of the present invention is achieved through the following technical solutions:

[0007] Based on subcutaneous RFID tags, subcutaneous RFID tags are implanted in the necks of branded cattle and sheep, and the RFID read-write module is used to form a unique pair with the smart cattle and sheep collars, so that only when the smart cattle and sheep collars recognize the corresponding RFID tags can the sensor data be collected normally and uploaded to the cloud platform, otherwise the collar will stop working and trigger a background alarm. At the same time, the data encryption module is used to encrypt the communication data packets to ensure that the data will not be leaked.

[0008] A data anti-counterfeiting method for a subcutaneous chip configuration of an intelligent cattle and sheep collar, comprising the following steps:

[0009] (1) Collar identity authentication: When the device is turned on, the subcutaneous RFID tag data that is first identified is recorded as a basis for pairing;

[0010] (2) Implanting a subcutaneous RFID tag into the cow’s neck;

[0011] (3) Put the smart collar on the cow and rotate it appropriately to make sure that the RFID recognition module can recognize the paired subcutaneous RFID tag and the collar works normally;

[0012] (4) During the operation of the collar, the subcutaneous RFID tag is queried and identified at regular intervals, and the collar status is adjusted based on the query results.

[0013] Furthermore, in step (4), the collar state is adjusted according to the query state, and the state identifier identifier is set, which is divided into the following three states:

[0014] (4.1) Working status: The identification is correct, the collar works normally, and the identifier is set to 0;

[0015] (4.2) Matching state: If the RFID tag is not identified within a certain time limit, the data loss is reported to the cloud platform, the collar stops working, and the identifier is set to 1; it needs to be reset and re-enter the (4.2) matching state, waiting for the subcutaneous RFID tag to pair and work normally;

[0016] (4.3) Locked state: Data pairing error, data anomaly reported to the cloud platform, the collar stops working, identifier is set to 1, and it is necessary to re-enter step (1) collar identity authentication through the factory reset command.

[0017] An intelligent collar for cattle and sheep, comprising a microprocessor, a positioning module, a body temperature sensing module, a motion sensing module, an RFID identification module, a data encryption module, a communication module, and a power supply module;

[0018] The RFID identification module is used to identify subcutaneous RFID tags; the positioning module, body temperature sensing module, and motion sensing module are used to collect the location, body temperature, and gait information of cattle and sheep; the microprocessor is used to analyze and process the collected results; the communication module is used to transmit the processing results of the processor to the cloud platform; the power supply module is a lithium-ion DC power supply with an output voltage of 3.3V, which is connected to the microprocessor through a power cord to power the collar.

[0019] Furthermore, the microprocessor adopts a microcontroller STM32F103C8T6 based on the ARMCortex-M3 core.

[0020] Furthermore, the positioning module selects the S1216F8-BD Beidou positioning module, which is connected to the microprocessor through the IIC serial port to achieve two-way transmission of commands and data.

[0021] Furthermore, the core of the body temperature sensing module uses a DS18B20 temperature sensor, which is accessed through a single bus and only requires one data pin to communicate with the main controller, thereby realizing two-way transmission of commands and data.

[0022] Furthermore, the motion sensing module uses an MPU6050 six-axis inertial motion sensor, which is connected to the microprocessor through an IIC bus to achieve two-way transmission of commands and data.

[0023] Furthermore, the RFID identification module uses a low-frequency RFID reader / writer EM4305RW with an operating frequency of 134.2kHz, and is connected to the microprocessor through an IIC serial port to achieve two-way transmission of commands and data.

[0024] Furthermore, the data encryption module uses a physical unclonable function PUF chip HD13HS10K-DFN8, integrates LDO, OSC and POR modules, and is connected to the microprocessor through an IIC bus to achieve encryption of data streams.

[0025] Furthermore, the communication module uses EC8004G module, which is connected to the microprocessor through the IIC serial port to achieve two-way transmission of commands and data and communication with the cloud platform.

[0026] The beneficial effects of the present invention are:

[0027] (1) By pairing with the subcutaneous RFID tag, the collar can be effectively prevented from being disassembled and misused, thus ensuring the authenticity of the sensor data;

[0028] (2) Achieve precise control over the entire life cycle of branded high-quality cattle and sheep, and at the same time combine PUF encryption to effectively prevent data leakage. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 A schematic diagram of the composition of an intelligent cattle and sheep collar system provided in this embodiment;

[0030] Figure 2 A data anti-counterfeiting flow chart of an intelligent cattle and sheep collar system provided in this embodiment;

[0031] Figure 3 A state transition diagram of an intelligent cattle and sheep collar system provided in this embodiment. DETAILED DESCRIPTION

[0032] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0033] like Figure 1 The smart collar for cattle and sheep shown includes a microprocessor, a positioning module, a body temperature sensing module, a motion sensing module, an RFID identification module, a PUF encryption module, a communication module, and a power supply module. Each module is connected to the microprocessor through a serial bus to perform information interaction processing.

[0034] The microprocessor serves as the data exchange center of the collar and exchanges instructions and data with each module.

[0035] The positioning module obtains the location information of the smart cattle and sheep collar through Beidou positioning, including longitude and latitude coordinates, such as N31°xx′xx″E120°xx′xx″. The location information is obtained once every 24 hours by default, and the location information is stored in the microprocessor.

[0036] The body temperature sensing module obtains the body temperature information of cattle and sheep, such as 37.3° C. The temperature is measured once an hour by default, and the body temperature information is stored in the microprocessor.

[0037] The motion sensing module obtains the number of steps of cattle and sheep, and the default output is output on a daily basis, such as 420 steps / day. The number of steps is stored in the microprocessor.

[0038] The RFID identification module is used to identify the subcutaneous RFID tag, and the identification result is used by the microprocessor to perform mode judgment.

[0039] The PUF encryption module encrypts the sensor data stream collected when the collar is working normally, and the encrypted data is transmitted back to the microprocessor.

[0040] The communication module uploads the data collected by the collar to the cloud platform, and uploads once every 24 hours by default.

[0041] The power supply module provides direct current power to the collar body, with a default capacity of 8000mAh, and the appropriate capacity can be selected according to different battery life requirements.

[0042] The data anti-counterfeiting method flow chart of the present invention is as follows Figure 2 As shown in the figure, when the corresponding RFID tag is identified, the collar works normally, and in other cases, an alarm will be triggered in the background.

[0043] The state transition of the state mode of the smart cattle and sheep collar is as follows Figure 3 As shown, each state mode is introduced below:

[0044] Write mode: When the smart cattle and sheep collar is started for the first time, the microprocessor controls the RFID identification module to read the unique identification code of the subcutaneous RFID tag, match and bind it, and then shut down.

[0045] Matching mode: After restarting, it enters the matching mode and continuously identifies and reads RFID tags. The default detection frequency is 1 time / second. If the corresponding RFID tag is detected within the specified time limit, the smart cattle and sheep collar enters the working mode. If no RFID tag is identified within the specified time limit, the collar sends a data missing instruction to the cloud platform and enters the standby state. Each sensor suspends work and needs to be restarted to enter the matching mode again. If inconsistent RFID tag data is identified within the specified time limit, it enters the locking mode.

[0046] Working mode: Each sensor enters the working state, and the data is temporarily stored in the microprocessor. Before uploading the data to the cloud platform, the data stream is encrypted by the PUF encryption module, and then uploaded to the cloud platform through the communication module. After the upload is successful, the local sensor cache data is deleted. At the same time, the corresponding RFID tag continues to be detected. By default, it is detected once every 2 hours. If there is still a match, the working mode continues. If no RFID tag data is detected, it returns to the matching mode. If inconsistent RFID tag data is detected, it enters the locking mode.

[0047] Lock mode: The microprocessor records inconsistent RFID tag data and uploads alarm information through the cloud platform, including location information and RFID tag information. At the same time, all sensors stop working and the smart cattle and sheep collar is in a locked state. Even if it is restarted, it is prohibited to work. A reset command needs to be entered before it can be used again. After resetting, it re-enters the write mode.

[0048] Matters not covered by the present invention are known technologies.

[0049] The above is only a preferred embodiment of the present invention. It should be understood that the present invention is not limited to the form disclosed herein, and should not be regarded as excluding other embodiments, but can be used in various other combinations, modifications and environments, and can be modified within the scope of the concept described herein through the above teachings or the technology or knowledge of the relevant field. The changes and modifications made by those skilled in the art shall not deviate from the spirit and scope of the present invention, and shall be within the scope of protection of the claims attached to the present invention.

Claims

1. A data anti-counterfeiting method for subcutaneous chip configuration of smart cattle and sheep collars, characterized by: The steps include: (1) Collar identity authentication: When the device is turned on, the subcutaneous RFID tag data that is first identified is recorded as a basis for pairing; (2) Implanting a subcutaneous RFID tag into the cow’s neck; (3) Put the smart collar on the cow and rotate it appropriately to make sure that the RFID recognition module can recognize the paired subcutaneous RFID tag and the collar works normally; (4) During the operation of the collar, the subcutaneous RFID tag is queried and identified at regular intervals, and the collar status is adjusted based on the query results.

2. The data anti-counterfeiting method for the subcutaneous chip configuration of a smart collar for cattle and sheep according to claim 1, characterized in that: In step (4), the collar state is adjusted according to the query state, and the state identifier identifier is set, which is divided into the following three states: (4.1) Working status: The identification is correct, the collar works normally, and the identifier is set to 0; (4.2) Matching state: If the RFID tag is not identified within a certain time limit, the data loss is reported to the cloud platform, the collar stops working, and the identifier is set to 1; it needs to be reset and re-enter the (4.2) matching state, waiting for the subcutaneous RFID tag to pair and work normally; (4.3) Locked state: Data pairing error, data anomaly reported to the cloud platform, the collar stops working, identifier is set to 1, and it is necessary to re-enter step (1) collar identity authentication through the factory reset command.

3. An intelligent collar for cattle and sheep, characterized by: Including microprocessor, positioning module, body temperature sensing module, motion sensing module, RFID identification module, data encryption module, communication module, power supply module; The RFID identification module is used to identify subcutaneous RFID tags; the positioning module, body temperature sensing module, and motion sensing module are used to collect the location, body temperature, and gait information of cattle and sheep; the microprocessor is used to analyze and process the collected results; the communication module is used to transmit the processing results of the processor to the cloud platform; the power supply module is a lithium-ion DC power supply with an output voltage of 3.3V, which is connected to the microprocessor through a power cord to power the collar.

4. The intelligent collar for cattle and sheep according to claim 3, characterized in that: The microprocessor adopts a microcontroller STM32F103C8T6 based on the ARMCortex-M3 core.

5. The intelligent collar for cattle and sheep according to claim 3, characterized in that: The positioning module uses the S1216F8-BD Beidou positioning module, which is connected to the microprocessor through the IIC serial port to achieve two-way transmission of commands and data.

6. The intelligent collar for cattle and sheep according to claim 3, characterized in that: The core of the body temperature sensing module uses a DS18B20 temperature sensor, which is accessed through a single bus and only requires one data pin to communicate with the main controller, realizing two-way transmission of commands and data.

7. The intelligent collar for cattle and sheep according to claim 3, characterized in that: The motion sensing module uses the MPU6050 six-axis inertial motion sensor, which is connected to the microprocessor through the IIC bus to achieve two-way transmission of commands and data.

8. The intelligent collar for cattle and sheep according to claim 3, characterized in that: The RFID identification module uses a low-frequency RFID reader / writer EM4305RW with an operating frequency of 134.2kHz, and is connected to the microprocessor through an IIC serial port to achieve two-way transmission of commands and data.

9. The intelligent collar for cattle and sheep according to claim 3, characterized in that: The data encryption module uses the physical unclonable function PUF chip HD13HS10K-DFN8, integrates LDO, OSC and POR modules, and is connected to the microprocessor through the IIC bus to achieve data stream encryption.

10. The intelligent collar for cattle and sheep according to claim 3, characterized in that: The communication module uses the EC8004G module, which is connected to the microprocessor through the IIC serial port to achieve two-way transmission of commands and data and communication with the cloud platform.

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