Intelligent animal husbandry monitoring and tracing system based on RFID chip

Abstract

The invention discloses an intelligent animal husbandry monitoring and tracing system based on RFID chips, and relates to the field of animal husbandry, and the system comprises a first passive RFID chip, a second passive RFID chip, a reader-writer, a microprocessor, and a network server. The first RFID chip monitors physiological data of livestock, the second RFID chip monitors feeding environment data, communication connection is established between the reader-writer and the microprocessor, and an electromagnetic wave signal carrying a monitoring instruction is sent according to a related instruction; the first RFID chip and the second RFID chip monitor livestock physiological and environmental data according to the electromagnetic wave signals and transmit the data to the reader-writer; and the microprocessor collects the uploaded data content, analyzes and calculates the data content to obtain a monitoring result, uploads the data content and the detection result to the server, generates livestock and environment monitoring records, and ensures accurate source tracing of the livestock through complete transmission of the data. The system assists in scheduling breeding personnel, reduces the breeding cost, reduces the morbidity rate and mortality rate of livestock, and improves the breeding rate and milk yield of the livestock.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of animal husbandry, and in particular to an intelligent animal husbandry monitoring and tracing system based on RFID chips. Background Art

[0002] In recent years, my country's animal husbandry has developed rapidly, and the number of livestock in the country has continued to rise. Traditional breeding methods are no longer suitable for today's large-scale, modernized, and intensive breeding. How to ensure the timely detection and treatment of livestock and poultry diseases and how to track the root causes of the problems in a timely manner is an urgent problem to be solved.

[0003] In recent years, my country has proposed solutions such as smart animal husbandry, advocating the use of multiple sensors in breeding, establishing a complete monitoring system, and achieving real-time supervision of livestock through living environment indicators and livestock health indicators. Through product traceability, food safety is ensured, consumer rights are protected, and the export of Chinese meat and dairy products is promoted. Related technologies have used monitoring systems to assist breeding. The content of these systems is not comprehensive. The body temperature and related behaviors of livestock cannot be monitored and counted in real time, and the traceability problem has not been solved. The system's identification of livestock still requires a lot of manpower to participate. The use of ear tags and leg rings and other monitoring methods to verify the identity information of livestock will no longer be correct after the ear tags are replaced, resulting in the farm being unable to hand over the correct information of livestock when selling them, and unable to trace the source in time and monitor in time. Summary of the invention

[0004] The embodiment of the present application provides a smart livestock monitoring and tracing method based on RFID chips to solve the problem of untimely monitoring and untraceability of pasture animal parameter indicators. It includes a first RFID chip installed on the livestock, a second RFID chip set in the breeding environment, a reader / writer, a microprocessor and a network server; the first RFID chip and the second RFID chip are passive chips, the first RFID chip monitors the physiological data of the livestock, and the second RFID chip monitors the breeding environment data. A communication connection is established between the reader / writer and the microprocessor, and an electromagnetic wave signal carrying the monitoring instruction is sent according to the issued instruction; the first RFID chip and the second RFID chip start and monitor the livestock physiological data and environmental data according to the electromagnetic wave signal, and upload the data to the reader / writer;

[0005] The microprocessor collects uploaded data content, analyzes and calculates the data content, obtains monitoring results, and uploads the data content and the detection results to a network server, and generates livestock and environmental monitoring records through the network server.

[0006] Specifically, at least one of a body temperature sensor, a pedometer sensor and a rumination sensor is integrated in the first RFID chip, and at least one of a temperature sensor, a humidity sensor, a harmful gas concentration sensor and a light sensor is integrated in the second RFID chip.

[0007] Specifically, the first RFID chip and the second RFID chip include a radio frequency antenna, a memory and a digital baseband. The radio frequency antenna receives and sends electromagnetic waves to the reader / writer. The memory stores the unique identification information of the livestock or the location information of the environmental monitoring point. The digital baseband is connected to the corresponding sensor, and controls the corresponding sensor to collect physiological data or environmental data according to the instruction information carried by the electromagnetic waves sent by the reader / writer, and sends the collected data to the reader / writer.

[0008] Specifically, it also includes a weight scale that establishes a communication connection with the reader / writer. When the livestock passes by the weight scale and the reader / writer radiates and receives a feedback electromagnetic wave signal, the weight data of the weight scale is read.

[0009] Specifically, it also includes a milk collector equipped with a conductivity sensor and establishing a communication connection with a reader / writer; when the reader / writer detects a feedback electromagnetic wave signal during the milking process of the milk collector, the milk quality data of the milk collector is read.

[0010] Specifically, the reader / writer collects physiological data information according to instructions or programs, and uploads the data to the microprocessor, which analyzes the physiological data;

[0011] When the physiological data is detected to be within the normal threshold range, it is uploaded to the network server normally; when the physiological data exceeds the normal threshold range, abnormal behavior is detected and determined, and adjustments are made based on the abnormal behavior; abnormal behavior includes livestock illness, estrus, and abnormal feed ratios.

[0012] Specifically, the reader / writer collects environmental data information according to instructions or programs, and uploads the data to the microprocessor, which analyzes the environmental data;

[0013] When the environmental data is detected to be within the normal threshold range, it is uploaded to the network server normally; when the environmental data exceeds the abnormal range, the abnormal data is uploaded to the network server and an alarm is triggered.

[0014] Specifically, when the first RFID chip and the second RFID chip collect corresponding data information based on the instruction, they extract the unique identification information or the location information of the environmental monitoring point from the memory, and encode them together with the data information and send them to the reader / writer.

[0015] Specifically, when the first RFID chip and the second RFID chip do not contain the sensor that performs the target acquisition behavior during decoding, the unique identification information or the environmental monitoring point location information is directly extracted from the memory, encoded and sent to the reader / writer.

[0016] Specifically, the network server obtains the physiological data and corresponding environmental data of the livestock, uses the unique identification information of the livestock as a tag, associates and binds the physiological data and the environmental data to the tag, and forms a historical monitoring record;

[0017] When the network server receives the traceability query instruction sent by the requesting end, it obtains the historical tag information according to the unique identification information of the livestock and feeds back the tag information to the requesting end.

[0018] The beneficial effects of the technical solution provided by the embodiment of the present application include at least: installing passive RFID chips on livestock and in the environment can omit the cumbersome procedures of wiring and achieve the purpose of real-time monitoring of data; because the data can be continuously detected and reported to the network server, the possibility of arbitrary tampering with and replacement of the chip is reduced from the source. For environmental data and livestock physiological data, timely warnings can be given when data abnormalities are found, livestock information can be mastered in real time, breeding personnel can be reasonably dispatched, breeding costs can be reduced, the morbidity and mortality of production can be reduced, and breeding efficiency can be improved. Through the complete transmission of data, the accurate traceability of livestock from farms to slaughterhouses is guaranteed. The integrity of livestock data from slaughterhouses to markets and then to consumers can also ensure the health of consumers. If problems arise, consumers can be helped to solve problems and safeguard their own rights and interests in a timely manner, and it can also be judged whether the operations of relevant personnel in the intermediate links are legal. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is the architecture diagram of the smart livestock monitoring and traceability system based on RFID chips;

[0020] Figure 2 This is the internal structure diagram of the RFID chip;

[0021] Figure 3 is a flow chart of the analysis of the collected livestock physiological data;

[0022] Figure 4 It is a flow chart of the analysis of the collected environmental data. DETAILED DESCRIPTION

[0023] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0024] The term "multiple" as used herein refers to two or more than two. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the related objects are in an "or" relationship.

[0025] In related technologies, due to the lack of comprehensive monitoring of livestock, the feeding method cannot detect and treat sick animals in time, resulting in farmers selling milk and meat from sick animals to the market, and consumers eating unqualified food, causing food safety incidents and affecting consumers' physical and mental health. According to the data from the Animal Husbandry and Veterinary Bureau in June 2023, the data shows that the number of livestock morbidity and mortality in the country is relatively large, and improvement is needed as soon as possible. Detailed data is shown in Table 1

[0026] Table 1 Statistics of major animal disease reports in China in June 2023

[0027]

[0028]

[0029] How to ensure the timely detection and treatment of livestock and poultry diseases, and how to track the root cause of the problem in a timely manner, is an urgent problem to be solved. In particular, for the behavior of sick livestock entering the market after processing, regulators, middlemen and buyers are unaware of the meat quality problems and cannot trace the source. In order to achieve real-time monitoring of the environmental information and health information of livestock, and to realize the real-time recording of information from the estrus of the parent generation of livestock to the departure of the offspring of livestock from the farm to realize the traceability function, prevent livestock from getting sick or dying and reducing the benefits of the farm, and prevent the fertility rate from decreasing due to missing the estrus of livestock and not mating in time, this application provides an intelligent livestock monitoring and traceability system based on RFID chips.

[0030] See also Figure 1The system architecture diagram includes a first RFID chip installed on or implanted in the livestock, a second RFID chip set in the breeding environment, a reader / writer, a microprocessor and a network server. The first RFID chip and the second RFID chip are passive chips, wherein the first RFID chip is set on the livestock, mainly used to monitor the various physiological data of the livestock. Each livestock in the breeding farm is provided with a unique passive chip, and the chip is to be implanted in the subcutaneous layer of the livestock, which can accurately read the unique identity information when the livestock's physiological information and environmental information are needed, and finally achieve accurate transmission. The chip implanted in the livestock ensures that the livestock's identity information cannot be changed, and ensures the integrity of the livestock's physiological information. Recording and transmission, can achieve traceability. The second RFID chip is set in the breeding farm environment, and the placement location and quantity can be selected according to the type of data measured to monitor the breeding environment data. A communication connection is established between the reader / writer and the microprocessor, which can be a wireless connection or a wired connection. The reader / writer receives the instructions issued by the microprocessor and executes the electromagnetic wave signal carrying the monitoring instruction. The first RFID chip and the second RFID chip are passive devices, but can be activated and monitor livestock physiological data and environmental data according to electromagnetic wave signals, and upload the data to the reader in the form of electromagnetic waves.

[0031] In a possible implementation, the radio frequency antenna of the RFID chip receives the electromagnetic wave signal carrying information and energy emitted by the reader, such as Figure 2 As shown, the energy carried by the electromagnetic wave is converted into energy to start the core functional circuit of the chip and transmit the data with livestock information after the chip works to the reader through the RF analog front-end circuit, and the impedance matching between the chip and the antenna is performed through the matching network to accurately obtain the unique identification information carried by the chip and the individual information of the livestock or the environmental information of the livestock. Correspondingly, when uploading data, the electromagnetic wave signal carrying information is returned to the reader through the RF antenna, and the collected sensor data is sent to the external reader. The modulator of this process receives the sensor data and the unique identification information of the livestock transmitted by the digital baseband. The unique identification information is the mark of the external reader to identify the authentication chip, especially in the one-to-many scenario of livestock and readers, different identification information represents different livestock. In this embodiment, the unique identification information and the location information of the environmental monitoring point are burned in the storage of each chip in advance during breeding, and identity verification can be performed when receiving and sending data.

[0032] The digital baseband is an important part of the chip, which is used to obtain the information carried by the received electromagnetic wave signal, and to control each sensor to perform encoding and decoding and data collection operations according to the carried instruction information, and send the data to the external reader through the RF antenna. There are two IO ports between the digital baseband circuit and the sensor circuit for sending control signals and data information. The digital baseband decodes the demodulated signal to obtain the instruction information and then makes a judgment. When the instruction information is the detection instruction of the corresponding sensor, it sends a control instruction to the corresponding target sensor to control the specified sensor pair to collect data, and then returns the sensor data to the digital baseband through the data IO port. After the digital baseband finishes the detection, it writes the sensor data into the memory. When the digital baseband decodes and obtains the sending instruction, it reads the unique identification information or the collected sensor data from the memory, and encodes the data based on the current time and sends it to the modulator. The sending process first modulates the carrier through the modulator, and then sends it to the outside through the RF antenna after matching.

[0033] In this embodiment, the first RFID chip can specifically integrate one or more of a temperature sensor, a pedometer sensor and a rumination sensor, and the memory stores unique identification information; the temperature sensor measures the body temperature of livestock, the pedometer sensor detects exercise status, and the rumination sensor detects eating status.

[0034] Since farms are generally closed environments, during the breeding process, the farms may have substandard temperatures, feces accumulation, and excessively high concentrations of harmful gases, which may cause livestock to become ill. Therefore, it is very important to monitor the living environment of the livestock, including monitoring the temperature and humidity in the farms; monitoring the air quality in the farms; and monitoring and recording the illumination intensity and illumination time of the livestock. By using a variety of sensors, it is ensured that the various indicators of the farm environment where the livestock are located are effectively monitored to ensure that the environment where the livestock are located is qualified. Based on this, the second RFID chip can integrate one or more of a temperature sensor, a humidity sensor, a harmful gas concentration sensor, and a light sensor, and the memory stores the location information of the environmental monitoring point. For example, a harmful gas concentration sensor and a reader are installed at the cattle pen to detect harmful gases, and a light sensor and a reader are installed on an open lawn or shed to detect light intensity.

[0035] When all readers and writers receive feedback from electromagnetic wave information, they will upload the data to the microprocessor, which will analyze and calculate the data content to obtain monitoring results, and upload the data content and detection results to the network server, which will generate livestock and environmental monitoring records.

[0036] In some embodiments, the system also includes a weight scale that establishes a communication connection with the reader / writer. The reader / writer installed on or around the weight scale will continuously emit electromagnetic waves, and when livestock pass by the weight scale, it will be activated based on instructions and energy; when the reader / writer radiates and receives feedback electromagnetic wave signals, the livestock's number information can be determined and the weight data of the weight scale can be read.

[0037] In some embodiments, the system also includes a milking machine equipped with a conductivity sensor and communicating with the reader. The milking machine detects the quality of milk, i.e., conductivity data, during the milking process. At this time, the reader near the milking machine will emit an electromagnetic wave signal, and the first RFID chip on the livestock will be activated and feedback the electromagnetic wave information. When the reader receives the feedback electromagnetic wave signal, it automatically reads the milk quality data of the milking machine. For example, when the milk quality is qualified, it is collected and concentrated through the distributor. When the milk quality does not meet the standard, an alarm is issued and manual intervention is performed.

[0038] Figure 3 This is a flowchart for analyzing the collected physiological data of livestock. The reader / writer collects physiological data information according to instructions or programs, and uploads the data to the microprocessor, which analyzes the physiological data. When the physiological data is detected to be within the normal threshold range, it is uploaded to the network server normally; when the physiological data exceeds the normal threshold range, abnormal behavior is detected and determined, and adjustments are made to the abnormal behavior. Abnormal behavior includes livestock illness, estrus, and abnormal feed ratio. Figure 3 Specifically, when the rumination data or weight data alarm is abnormal, it is detected whether there is an unreasonable feed situation. If so, the feed ratio of the livestock is adjusted. When the step data alarm is abnormal, check whether the livestock is sick. If so, treat it immediately. When the pedometer and rumination sensor data are abnormal, make a comprehensive judgment on the data to determine whether the livestock is in estrus. If so, breeding or artificial insemination is carried out in time. When the conductivity data uploaded by the milk collector is abnormal, it is detected whether the livestock has a mammary gland-related disease. If so, the livestock's milk is prevented from entering the milk depot, and the livestock's disease is judged and treated in time.

[0039] Figure 4 It is a flowchart for analyzing the collected environmental data. The reader / writer collects environmental data information according to instructions or programs, and uploads the data to the microprocessor, which analyzes the environmental data. When the environmental data is detected to be within the normal threshold range, it is uploaded to the network server normally; when the environmental data exceeds the abnormal range, the abnormal data is uploaded to the network server and an alarm is triggered to assist the breeding staff to locate the problem in time and solve the problem in time. Specifically, when the temperature, humidity, concentration of harmful gases or light data are abnormal, the alarm will simultaneously start the relevant equipment to improve the environmental information.

[0040] Of course, in the above scheme, because the identification information stored in the memory of the first and second RFID chips is different, it is usually necessary to set up multiple readers and writers, and the instructions sent by different readers and writers are different, mainly to control different sensors to perform corresponding operations. When the first RFID chip and the second RFID chip are decoded and obtained without the sensor that performs the target acquisition behavior, the unique identification information or the location information of the environmental monitoring point is directly extracted from the memory, and the encoding is sent to the reader and writer. The network server obtains the physiological data and corresponding environmental data of the livestock, uses the unique identification information of the livestock as a tag, associates and binds the physiological data and environmental data to the tag, and forms a historical monitoring record. When the network server receives the traceability query instruction sent by the request end, it obtains the historical tag information according to the unique identification information of the livestock, and feeds the tag information back to the request end. In this way, full data monitoring from breeding to slaughter is realized. When the livestock is tampered with at any stage, there will be a jump in the data record, and the client personnel can clearly see the cat, which plays a certain preventive and deterrent role.

[0041] In summary, when the system is running, multiple sensors in the sensing layer collect the environmental information of the farm and the physiological data of individual livestock in real time. The collected data is transmitted from the devices in the sensing layer to the network server in the application layer through the relevant devices in the network layer. The distribution and processing tasks of the data collected by the perception layer are completed on the network server, and then the data received by the perception layer is processed and stored. The processed data is displayed on the platform in a visual way, which is convenient for the staff to view and make corresponding judgments. If an abnormal situation is calculated in the processing result of the collected data, the abnormal information result is sent to the network server, and the network server marks the data processing result and displays it intuitively on the front end of the platform, and then issues an alarm message to ensure that the breeding staff receives the abnormal information in time. The system also proposes solutions to ensure that the staff can handle the abnormal results in time. 4. The system can be connected to the Internet in real time, grasp the information of livestock in real time, reasonably dispatch breeding staff, reduce breeding costs, reduce the morbidity and mortality of production, and improve breeding benefits.

[0042] This specific embodiment is merely an explanation of the present invention and is not a limitation of the present invention. After reading this specification, those skilled in the art may make non-creative modifications to the present embodiment as needed. However, as long as they are within the scope of the claims of the present invention, they are protected by the patent law.

Claims

1. A smart livestock monitoring and tracing system based on RFID chip, characterized in that: It includes a first RFID chip installed on the livestock, a second RFID chip set in the breeding environment, a reader / writer, a microprocessor and a network server; the first RFID chip and the second RFID chip are passive chips, the first RFID chip monitors the physiological data of the livestock, and the second RFID chip monitors the breeding environment data, a communication connection is established between the reader / writer and the microprocessor, and an electromagnetic wave signal carrying a monitoring instruction is sent according to relevant instructions; the first RFID chip and the second RFID chip start and monitor the physiological data and environmental data of the livestock according to the electromagnetic wave signal, and upload the data to the reader / writer; The microprocessor collects uploaded data content, calculates and analyzes the data content, obtains monitoring results, and uploads the data content and the detection results to a network server, and generates livestock and environmental monitoring records through the network server.

2. The intelligent livestock monitoring and tracing system based on RFID chip according to claim 1 is characterized in that: The first RFID chip is integrated with at least one of a body temperature sensor, a pedometer sensor and a rumination sensor, and the second RFID chip is integrated with at least one of a temperature sensor, a humidity sensor, a harmful gas concentration sensor and a light sensor.

3. The intelligent livestock monitoring and tracing system based on RFID chip according to claim 2 is characterized in that: The first RFID chip and the second RFID chip include a radio frequency antenna, a memory and a digital baseband. The radio frequency antenna sends and receives electromagnetic waves to the reader / writer. The memory stores the unique identification information of the livestock or the location information of the environmental monitoring point. The digital baseband is connected to the corresponding sensor, and controls the corresponding sensor to collect physiological data or environmental data according to the instruction information carried by the electromagnetic waves sent by the reader / writer, and sends the collected data to the reader / writer.

4. The intelligent livestock monitoring and tracing system based on RFID chip according to claim 1 is characterized in that: It also includes a weight scale that establishes a communication connection with the reader / writer. When livestock passes by the weight scale and the reader / writer radiates and receives a feedback electromagnetic wave signal, the weight data of the weight scale is read.

5. The intelligent livestock monitoring and tracing system based on RFID chip according to claim 4 is characterized in that: It also includes a milk collector installed with a conductivity sensor and establishing a communication connection with a reader / writer; when the reader / writer detects a feedback electromagnetic wave signal during the milking process of the milk collector, the milk quality data of the milk collector is read.

6. The intelligent livestock monitoring and tracing system based on RFID chip according to claim 3 is characterized in that: The reader / writer collects physiological data information according to instructions or programs, and uploads the data to the microprocessor, which analyzes the physiological data; When the physiological data is detected to be within the normal threshold range, it is uploaded to the network server normally; When physiological data exceeds the normal threshold range, abnormal behavior is detected and determined, and adjustments are made to the abnormal behavior; abnormal behavior includes livestock illness, estrus, and abnormal feed ratios.

7. The intelligent livestock monitoring and tracing system based on RFID chip according to claim 6 is characterized in that: The reader / writer collects environmental data information according to instructions or programs, and uploads the data to the microprocessor, which analyzes the environmental data; When the environmental data is detected to be within the normal threshold range, it is uploaded to the network server normally; when the environmental data exceeds the abnormal range, the abnormal data is uploaded to the network server and an alarm is triggered.

8. The intelligent livestock monitoring and tracing system based on RFID chip according to claim 3 is characterized in that: When the first RFID chip and the second RFID chip collect corresponding data information based on the instruction, they extract the unique identification information or the location information of the environmental monitoring point from the memory, and encode them together with the data information and send them to the reader / writer.

9. The intelligent livestock monitoring and tracing system based on RFID chip according to claim 5 is characterized in that: When the first RFID chip and the second RFID chip decode and obtain no sensor for executing the target acquisition behavior, the unique identification information or the location information of the environmental monitoring point is directly extracted from the memory, encoded and sent to the reader / writer.

10. The intelligent livestock monitoring and tracing system based on RFID chip according to claim 7 is characterized in that: The network server obtains the physiological data and corresponding environmental data of the livestock, uses the unique identification information of the livestock as a tag, associates and binds the physiological data and environmental data to the tag, and forms a historical monitoring record; When the network server receives the traceability query instruction sent by the requesting end, it obtains the historical tag information according to the unique identification information of the livestock and feeds back the tag information to the requesting end.

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