Dairy cow behavior sign monitoring system, method, electronic device and storage medium

Abstract

The application provides a dairy cow behavior sign monitoring system, method, electronic equipment and storage medium, and belongs to the technical field of Internet of Things.The system comprises a sign collection device which collects sign information of a target dairy cow; a gateway relay device which reads identity information of the target dairy cow and calls the sign information of the target dairy cow from the sign collection device; and a data host computer which generates a behavior prediction result of the target dairy cow according to the sign information, takes the combination of the identity information and the behavior prediction result as behavior characteristic information of the target dairy cow and outputs the behavior characteristic information.The dairy cow behavior sign monitoring system, method, electronic equipment and storage medium provided by the application can monitor the sign information of the dairy cow, thereby more accurately judging the estrus state and health state of the dairy cow, improving the judgment efficiency of the estrus of the dairy cow, saving manpower, material resources and time cost, reducing the misjudgment and omission rates, prompting the breeding personnel to carry out dairy cow breeding and health care work and effectively improving the breeding level of the pasture.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of Internet of Things, and in particular to a dairy cow behavior sign monitoring system and method, an electronic device and a storage medium. BACKGROUND

[0002] The monitoring of dairy cow behavior signs is a key link in dairy cow breeding and milk production management, and the judgment of dairy cow estrus directly affects the milk production rate and breeding economic benefits of dairy cows.

[0003] At present, dairy cow estrus identification is mainly achieved through artificial observation.

[0004] However, artificial observation has the problem of low efficiency, and the detection result is easily affected by the experience of breeding personnel, which is time-consuming and labor-intensive, has high labor cost, and seriously restricts the productivity of dairy cow large-scale breeding. SUMMARY

[0005] The dairy cow behavior sign monitoring system, method, electronic device and storage medium provided by the present application solve the defects in the prior art that artificial observation has low efficiency, and the detection result is easily affected by the experience of breeding personnel, which is time-consuming and labor-intensive, has high labor cost, and seriously restricts the productivity of dairy cow large-scale breeding, and more accurately judge the estrus state and health state of dairy cows, improve the judgment efficiency of dairy cow estrus, save manpower, material resources and time cost, reduce the misjudgment and omission rate, prompt the breeding personnel to carry out dairy cow breeding and health care work, and effectively improve the breeding level of the pasture.

[0006] The present application provides a dairy cow behavior sign monitoring system, comprising:

[0007] a sign collection device, a gateway transfer device and a data host computer; the sign collection device and the data host computer are respectively in communication connection with the gateway transfer device;

[0008] The sign collection device is used for collecting the sign information of the target dairy cow.

[0009] The gateway transfer device is used for reading the identity information of the target dairy cow, and calling the sign information of the target dairy cow from the sign collection device, and sending the identity information and the sign information to the data host computer.

[0010] The data host computer is used for generating the behavior prediction result of the target dairy cow according to the sign information, taking the combination of the identity information and the behavior prediction result as the behavior characteristic information of the target dairy cow and outputting, and the behavior prediction result includes the health state and the estrus state.

[0011] According to the dairy cow behavior sign monitoring system provided by the present application, the sign information includes: body surface temperature and activity information;

[0012] The data host computer comprises a cloud server and a database connected in communication;

[0013] The cloud server is specifically configured to:

[0014] characteristic extraction is performed on the activity information to obtain activity characteristics of the target dairy cow;

[0015] The body surface temperature and the activity characteristics are input into a behavior prediction model to obtain a health state and an estrus state output by the behavior prediction model; the health state comprises healthy and unhealthy; and the estrus state comprises estrus and non-estrus.

[0016] The database is configured to receive and store the body surface temperature, the activity information, the activity characteristics, and the health state and the estrus state sent by the cloud server.

[0017] According to the dairy cow behavior sign monitoring system provided by the application, the activity information comprises acceleration, angular velocity, and activity trajectory.

[0018] The sign collection device comprises an inertial sensor, a temperature sensor, a GPS module, a Bluetooth slave processor, and an SD card; the inertial sensor, the temperature sensor, the GPS module, and the SD card are respectively connected in communication with the Bluetooth slave processor.

[0019] The inertial sensor is configured to collect angular velocity and acceleration of the target dairy cow and send the angular velocity and the acceleration to the Bluetooth slave processor.

[0020] The temperature sensor is configured to collect the body surface temperature of the target dairy cow and send the body surface temperature to the Bluetooth slave processor.

[0021] The GPS module is configured to collect activity trajectory of the target dairy cow and send the activity trajectory to the Bluetooth slave processor.

[0022] The Bluetooth slave processor is configured to store the received angular velocity, acceleration, body surface temperature, and activity trajectory to the SD card.

[0023] According to the dairy cow behavior sign monitoring system provided by the application, the sign collection device further comprises a Boolean switch module; the Boolean switch module is connected in communication with the Bluetooth slave processor.

[0024] The Boolean switch module is configured to adjust signal amplitudes of the angular velocity, the acceleration, the body surface temperature, and the activity trajectory in the Bluetooth slave processor.

[0025] The Boolean switch comprises: an amplification button and a reduction button.

[0026] The amplification button is used for amplification adjustment of the signal amplitude of the angular velocity, the acceleration, the body surface temperature or the activity trajectory.

[0027] The reduction button is used for reduction adjustment of the signal amplitude of the angular velocity, the acceleration, the body surface temperature or the activity trajectory.

[0028] According to the milk cow behavior sign monitoring system provided by the application, the gateway relay device is arranged in a pasture where the target milk cow is located.

[0029] The gateway relay device comprises a Bluetooth host processor, an RFID module, a serial port and a wireless Wi-Fi module.

[0030] The RFID module is used for determining the identity information of the target milk cow.

[0031] The Bluetooth host processor is connected with the Bluetooth slave processor and the wireless Wi-Fi module through the serial port.

[0032] The wireless Wi-Fi module is used for forwarding the identity information and the sign information to the data host computer.

[0033] According to the milk cow behavior sign monitoring system provided by the application, the gateway relay device further comprises a temperature and humidity sensor.

[0034] The temperature and humidity sensor is in communication connection with the wireless Wi-Fi module.

[0035] The temperature and humidity sensor is used for collecting the environmental temperature and humidity information of the pasture where the target milk cow is located, and sending the environmental temperature and humidity information to the wireless Wi-Fi module.

[0036] The application further provides a milk cow behavior sign monitoring method applied to the milk cow behavior sign monitoring system.

[0037] The sign information and the identity information of the target milk cow are acquired.

[0038] According to the sign information, the behavior prediction result of the target milk cow is generated.

[0039] The combination of the identity information and the behavior prediction result is taken as the behavior characteristic information of the target milk cow and is outputted.

[0040] According to the milk cow behavior sign monitoring method provided by the application, the sign information comprises: body surface temperature and activity information.

[0041] The behavior prediction result of the target milk cow is generated according to the sign information, and the generating comprises:

[0042] The activity information is subjected to feature extraction to obtain activity features of the target milk cow.

[0043] The body surface temperature and the activity features are input into a behavior prediction model to obtain a behavior prediction result output by the behavior prediction model, and the behavior prediction result comprises a health state and an estrus state.

[0044] The application further provides an electronic device comprising a memory, a processor and a computer program stored in the memory and capable of running on the processor, and the processor implements the milk cow behavior sign monitoring method according to any one of the above when executing the program.

[0045] The application further provides a non-transitory computer readable storage medium having a computer program stored thereon, and the computer program implements the milk cow behavior sign monitoring method according to any one of the above when executed by a processor.

[0046] The application further provides a computer program product comprising a computer program, and the computer program implements the milk cow behavior sign monitoring method according to any one of the above when executed by a processor.

[0047] The milk cow behavior sign monitoring system, method, electronic device and storage medium provided by the application can more accurately judge the estrus state and health state of a milk cow, improve the judgment efficiency of the estrus state of a milk cow, save manpower, material resources and time cost, reduce the misjudgment and omission rate, prompt breeding personnel to carry out milk cow breeding and health care work, and effectively improve the breeding level of a pasture. BRIEF DESCRIPTION OF DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the application or prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0049] Figure 1 is a structural schematic diagram of the milk cow behavior sign monitoring system provided by the application;

[0050] Figure 2 is a structural schematic diagram of an automatic monitoring device of related art provided by the application;

[0051] Figure 3 This is a schematic diagram of the vital sign acquisition device provided by the present invention;

[0052] Figure 4 This is a schematic diagram of the gateway relay device provided by the present invention;

[0053] Figure 5 This is a schematic diagram of the data host computer provided by the present invention;

[0054] Figure 6 This is a flowchart illustrating the method for monitoring the behavioral characteristics of dairy cows provided by the present invention;

[0055] Figure 7 This is a schematic diagram of the structure of the electronic device provided by the present invention.

[0056] Figure label:

[0057] 100: Cow behavioral and vital sign monitoring system; 110: Vital sign acquisition device; 111: Inertial sensor; 112: Temperature sensor; 113: GPS module; 114: Bluetooth slave processor; 115: SD card; 116: Boolean switch module; 1161: Decrease button; 1162: Increase button; 120: Gateway relay device; 121: Bluetooth host processor; 122: Temperature and humidity sensor; 123: RFID module; 124: Serial port; 125: Wireless Wi-Fi module; 130: Data host computer; 131: Cloud server; 132: Database. Detailed Implementation

[0058] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0059] Estrus in dairy cows is influenced by multiple internal and external factors, including breed, season, farming environment, and feeding methods. Studies have shown that body temperature, activity level, and activity patterns of dairy cows change significantly before and after estrus. By integrating various estrus signs and based on the close relationship between estrus and cow activity level and temperature, advanced IoT and big data processing technologies can be used to record the daily vital signs of dairy cows, which can significantly improve the estrus detection rate and accuracy, thereby improving farm efficiency.

[0060] Existing equipment uses only a single detection threshold based on experimental and observational methods. Furthermore, the estrus state of different cattle herds varies across regions and species, resulting in poor versatility and high rates of false positives and false negatives in the manufactured monitoring equipment. General automatic monitoring equipment also suffers from high cost and poor local adaptability.

[0061] The following is combined with Figures 1-7 The present invention describes a dairy cow behavioral and vital sign monitoring system, method, electronic device, and storage medium provided by embodiments thereof.

[0062] Figure 1 This is a schematic diagram of the structure of the dairy cow behavioral and vital sign monitoring system provided by the present invention, as shown below. Figure 1 As shown, the dairy cow behavioral vital signs monitoring system 100 includes: a vital signs acquisition device 110, a gateway relay device 120, and a data host computer 130; the vital signs acquisition device 110 and the data host computer 130 are respectively communicatively connected to the gateway relay device 120.

[0063] The vital signs acquisition device 110 is used to collect vital signs information of the target dairy cow;

[0064] The gateway relay device 120 is used to read the identity information of the target cow, retrieve the vital signs information of the target cow from the vital signs collection device, and send the identity information and the vital signs information to the data host computer.

[0065] The data host computer 130 is used to generate a behavior prediction result for the target dairy cow based on the vital signs information, and output the combination of the identity information and the behavior prediction result as the behavior feature information of the target dairy cow. The behavior prediction result includes health status and estrus status.

[0066] Among them, the vital signs information can include the target dairy cow's body surface temperature, heart rate, number of steps, and movement trajectory, which can reflect the characteristics of the dairy cow's estrus period.

[0067] During system operation, the vital sign acquisition device 110 continuously records the vital sign information of the target cow. The gateway relay device 120 reads the identity information of the target cow and retrieves vital sign information such as body surface temperature, acceleration, angular velocity, and activity trajectory of the target cow from the vital sign acquisition device via wireless technology. After summarizing the identity information and vital sign information, it sends them to the data host computer 130. The data host computer 130 is used to generate behavior prediction results of the target cow based on the vital sign information, and outputs the combination of identity information and behavior prediction results as the behavioral feature information of the target cow.

[0068] Thresholds for cow steps, heart rate, and body temperature can be set in the data host computer 130. If the vital signs of a target cow exceed the threshold, it is determined whether the target cow is healthy and whether it is in estrus. By collecting and monitoring the cow's activity level and vital signs data, the estrus status and health status of the cow are determined and reported.

[0069] The gateway relay device 120 transmits the vital signs information to the data host computer 130.

[0070] The health status and estrus status of dairy cows are determined by monitoring data such as their step count and body temperature. Long-term experiments and observations have established detection thresholds for changes in step count and body temperature during estrus; whether these thresholds are reached is crucial for assessing the cow's condition.

[0071] Figure 2 This is a structural schematic diagram of the automatic monitoring device provided by the present invention, such as... Figure 2 As shown, a wireless sensor network is constructed based on LoRa technology, using a microcontroller as the control core and a LoRa wireless transceiver chip. The automatic monitoring equipment includes: a server, a gateway device, and multiple terminal nodes.

[0072] Terminal nodes are distributed across each cow to collect information. The data collected by the sensors is transmitted to the gateway device via a LoRa network. Each terminal node and the gateway are networked via LoRa to achieve long-distance data transmission. The gateway device can receive monitoring data from the terminal nodes at any time and can send back data commands. It can quickly establish a connection between the terminal nodes and the gateway device, and connect via network cable to execute the standard TCP / IP protocol to connect with servers and other devices, enabling bidirectional communication.

[0073] The gateway device includes: a LoRa communication module, an MCU controller, and a display module;

[0074] The first terminal node includes: an MPU-6050 module, an MCU controller, and a LoRa communication module;

[0075] The second terminal node includes: a LoRa communication module, a card reader, an MCU controller, and a wireless module; wherein, the second terminal node can use radio frequency identification electronic tags;

[0076] The third terminal node includes: SHT10 module, MCU controller and LoRa communication module.

[0077] LoRa technology can only achieve ultra-long transmission distances by reducing the over-the-air data transmission rate. In the field of wireless communication, the higher the transmission rate, the shorter the transmission distance. This is because the higher the rate, the easier it is for the signal to attenuate; conversely, the lower the transmission rate, the easier it is for the signal to weaken. Since LoRa mainly operates in unlicensed frequency bands globally, there will be some spectrum interference between them.

[0078] LoRa is based on real-time, uninterrupted data transmission. Current monitoring devices lack low-power management capabilities, and the chip cannot enter sleep mode when there are no data acquisition tasks, resulting in significant battery standby power consumption. Therefore, LoRa systems cannot guarantee ultra-low power consumption and stable, interference-free operation to meet cost-saving design requirements.

[0079] The dairy cow behavioral and vital sign monitoring system provided by this invention monitors the vital signs of dairy cows, thereby more accurately determining their estrus status and health status. This improves the efficiency of estrus detection, saves manpower, material resources, and time costs, reduces the rate of misjudgment and missed judgment, and prompts breeders to carry out dairy cow breeding and health care work, effectively improving the breeding level of farms.

[0080] Optionally, the activity information includes: acceleration, angular velocity, and activity trajectory;

[0081] The vital signs acquisition device 110 includes: an inertial sensor 111, a temperature sensor 112, a GPS module 113, a Bluetooth slave processor 114, and an SD card 115; the inertial sensor, the temperature sensor, the GPS module, and the SD card are respectively communicatively connected to the Bluetooth slave processor.

[0082] The inertial sensor is used to collect the angular velocity and acceleration of the target cow and send the angular velocity and acceleration to the Bluetooth slave processor;

[0083] The temperature sensor is used to collect the body surface temperature of the target cow and send the body surface temperature to the Bluetooth slave processor;

[0084] The GPS module is used to collect the activity trajectory of the target dairy cow and send the activity trajectory to the Bluetooth slave processor;

[0085] The Bluetooth slave processor is used to store the received angular velocity, acceleration, body surface temperature and activity trajectory to the SD card.

[0086] Each vital sign collection device 110 corresponds to one cow.

[0087] Among them, the inertial sensor 111 can be a six-axis inertial sensor, mounted on the periphery, used to collect the acceleration and angular velocity of the target cow, and send the acceleration and angular velocity to the Bluetooth slave processor 114;

[0088] Temperature sensor 112 is used to collect the body surface temperature of the target cow and send the body surface temperature to Bluetooth slave processor 114;

[0089] GPS module 113 is used to collect the location information and timeline of the target dairy cow, and send the combination of location information and timeline as the activity trajectory to Bluetooth slave processor 114;

[0090] The Bluetooth slave processor 114 can be a BLE 5.0 Bluetooth chip, used as a slave for signal broadcasting and wireless transmission. The Bluetooth slave processor 114 stores the combined data of the target cow's body surface temperature, acceleration, angular velocity, and movement trajectory as the target cow's vital signs information to the SD card 115 and broadcasts it. The Bluetooth slave processor 114 can record and save the cow's vital signs information every two hours, and store the comprehensive information of each cow to the SD card 9 at set time intervals.

[0091] The dairy cow behavioral and vital sign monitoring system provided by the present invention saves the original collected data to an SD card for easy access and avoids the problem of excessive power consumption caused by real-time data transmission.

[0092] Optionally, the vital sign acquisition device further includes: a Boolean switch module 116; the Boolean switch module is communicatively connected to the Bluetooth slave processor;

[0093] A Boolean switch module is used to adjust the signal amplitudes of the angular velocity, acceleration, body surface temperature, and activity trajectory in the Bluetooth slave processor.

[0094] The Boolean switch includes: an increase button and a decrease button;

[0095] The amplification button is used to adjust the amplification value of the signal amplitude of the angular velocity, the acceleration, the body surface temperature, acceleration, angular velocity, or the movement trajectory.

[0096] The amplitude reduction button is used to adjust the amplitude of the signals of the angular velocity, the acceleration, the body surface temperature, acceleration, angular velocity, or movement trajectory.

[0097] Figure 3 This is a schematic diagram of the vital sign acquisition device provided by the present invention, as shown below. Figure 3 As shown, the vital signs acquisition device 110 includes:

[0098] The system includes an inertial sensor 111, a temperature sensor 112, a GPS module 113, a Bluetooth slave processor 114, an SD card 115, and a Boolean switch module 116; wherein the Boolean switch module 116 includes a decrease button 1161 and an increase button 1162.

[0099] The Bluetooth slave processor 114 is connected to the inertial sensor 111, the temperature sensor 112, the GPS module 113, the SD card 115, and the Boolean switch module 116.

[0100] Optionally, the gateway relay device is located in the pasture where the target dairy cow is located;

[0101] The gateway relay device includes: a Bluetooth host processor, an RFID module, a serial port, and a wireless Wi-Fi module;

[0102] The RFID module is used to determine the identity information of the target dairy cow;

[0103] The Bluetooth host processor is connected to the Bluetooth slave processor and the wireless Wi-Fi module via the serial port;

[0104] The wireless Wi-Fi module is used to forward the identity information and the vital signs information to the data host computer.

[0105] The Bluetooth host processor can be a BLE 5.0 Bluetooth chip, which can effectively reduce costs, or a Zigbee Bluetooth chip, which can scan the Bluetooth slave processor and establish a connection relationship, and can directly receive the target cow's vital signs information sent by the Bluetooth slave processor through serial port 124.

[0106] Alternatively, the Bluetooth slave processor 114 in the vital signs acquisition device 110 reads the vital signs information stored in the SD card 115 and sends the target cow's vital signs information to the Bluetooth host processor 121 in the gateway relay device 120 at regular intervals via serial port 124 in a serial port pass-through manner.

[0107] The RFID module includes RFID tags and an RFID reader. The RFID tags store the identification information of the target cow and are placed near the cow. The RFID reader can read the cow's identification information from the RFID tags when it is near the target cow. Each RFID tag is unique, with different numbered devices corresponding to different cow IDs. Data packets sent to the host computer 130 by different numbered devices will have different flag bits, which the host computer 130 can identify to determine the cow's number.

[0108] In addition, the Bluetooth host processor 121 can have a built-in behavior prediction model. The Bluetooth host processor 121 can extract features from activity information and input body surface temperature and activity features into the behavior prediction model to obtain the behavior prediction results output by the behavior prediction model, thus migrating the information processing process from the host computer's cloud server to the Bluetooth host processor 121.

[0109] BLE 5.0 technology features low-power optimization at the radio frequency physical layer, significantly reducing Bluetooth power consumption and minimizing transmission efficiency loss caused by 2.4GHz band interference. Based on BLE 5.0 technology, this system can perform fast wireless transmission and enter a deep sleep state without connection when idle to reduce power consumption and significantly improve battery life.

[0110] The wireless WIFI module is used for data forwarding and transparent transmission, enabling data transmission to the host computer.

[0111] Optionally, the gateway relay device further includes: a temperature and humidity sensor;

[0112] The temperature and humidity sensor is communicatively connected to the wireless Wi-Fi module;

[0113] The temperature and humidity sensor is used to collect environmental temperature and humidity information of the pasture where the target dairy cow is located, and send the environmental temperature and humidity information to the wireless Wi-Fi module.

[0114] Temperature and humidity sensors and RFID readers can be installed near the milking parlor of the target cow's pasture to monitor the ambient temperature and humidity in real time. When the target cow is being milked, the RFID reader in the RFID module can identify the target cow's identity information carried by the RFID tag and upload the identity information to the wireless Wi-Fi module. The Bluetooth host processor 121 uses data pass-through to upload the ambient temperature and humidity information and the target cow's vital signs information to the wireless Wi-Fi module via the serial port 124.

[0115] The wireless Wi-Fi module uploads a combination of environmental temperature and humidity information, the target cow's vital signs, and its identity information to the data host computer 130. The environmental temperature and humidity information can reflect the comfort level of the target cow to some extent.

[0116] Figure 4 This is a schematic diagram of the gateway relay device provided by the present invention, as shown below. Figure 4 As shown, it includes:

[0117] Bluetooth host processor 121, temperature and humidity sensor 122, RFID module 123, serial port 124, and wireless Wi-Fi module 125;

[0118] The Bluetooth host processor 121 communicates with the wireless Wi-Fi module 125 via serial port 124, and the temperature and humidity sensor 122 and RFID module 123 communicate with the wireless Wi-Fi module 125 respectively.

[0119] Optionally, the vital signs information includes: body surface temperature and activity information;

[0120] The data host computer includes: a cloud server and a database connected via communication;

[0121] The cloud server is specifically used for:

[0122] Feature extraction is performed on the activity information to obtain the activity characteristics of the target dairy cow;

[0123] The body surface temperature and the activity characteristics are input into a behavior prediction model to obtain the health status and estrus status output by the behavior prediction model; the health status includes: healthy and unhealthy; the estrus status includes: estrus and non-estrus.

[0124] The database is used to receive and store the body surface temperature, activity information, activity characteristics, health status, and estrus status sent by the cloud server.

[0125] Figure 5 This is a schematic diagram of the data host computer provided by the present invention, as shown below. Figure 5 As shown, it includes: a cloud server 131 and a database 132 connected by communication.

[0126] Cloud servers can be built on IoT data cloud platforms, enabling the display and retrieval of data.

[0127] Activity characteristics include running, mounting, rumination, circling, and walking slowly. Cows in estrus will take more steps compared to cows in non-estrus state.

[0128] After receiving the environmental temperature and humidity information, the target cow's vital signs information, and its identity information uploaded by the wireless Wi-Fi module 125, the cloud server 131 in the data host computer 130 extracts activity features from the vital signs information, such as running, mounting, rumination, circling, and slow walking. It then inputs the target cow's body surface temperature and activity features into a behavior prediction model to obtain its health and estrus status. If the target cow is healthy and in estrus, the cloud server 131 generates a prompt to mate the target cow.

[0129] Cloud server 131 stores environmental temperature and humidity information, target cow's physical characteristics and identity information, as well as the target cow's health status and estrus status in database 132. It can also determine whether the pasture's environmental temperature and humidity information is suitable for the cow's current health and estrus status. Temperature, as one of the triggers for estrus in cows, can be controlled to achieve the goal of intervening in the estrus period. Furthermore, monitoring environmental temperature and humidity can create and control suitable living conditions for livestock, reduce the occurrence of diseases, and improve livestock productivity.

[0130] The cloud server 131 can also verify the output of the behavior prediction model based on the actual estrus and health status of the target cows uploaded by the administrator. If the verification result shows that the health status and estrus status output by the behavior prediction model are inaccurate, it sends a parameter amplitude adjustment command to the Bluetooth slave processor 114 through the wireless Wi-Fi module 125 and serial port 124. The Bluetooth slave processor 114 executes the parameter amplitude adjustment command and operates the decrement button 1161 and / or amplification button 1162 to amplify or decrement the signal amplitude of body surface temperature, acceleration, angular velocity or activity trajectory until the verification result shows accuracy.

[0131] For example, if a target cow is misjudged as being in estrus even though it is not, the amplitude reduction button 1161 is pressed to reduce the amplitude of the signals of body surface temperature, acceleration, angular velocity, or movement trajectory. This causes the data host computer 130 to increase the estrus detection threshold for the target cow accordingly, reducing the false positive rate. If the target cow is missed in estrus, i.e., the cow in estrus is not detected, the amplitude increase button 8 is pressed to increase the amplitude of the signals of body surface temperature, acceleration, angular velocity, or movement trajectory. This causes the data host computer 130 to decrease the estrus detection threshold for the target cow accordingly, reducing the false positive rate and making the judgment result more accurate.

[0132] When training the behavior prediction model, activity features are extracted from the previously collected data of 50 groups of cows in estrus and 50 groups not in estrus, including their body surface temperature, acceleration, angular velocity, and movement trajectory. These extracted activity features are then input into a neural network. The network output consists of four nodes: 00, 01, 10, and 11, representing four different bodily characteristics: healthy & in estrus, healthy & not in estrus, unhealthy & in estrus, and unhealthy & not in estrus. After the neural network is trained, a behavior prediction model capable of determining the health status and estrus status of cows can be obtained.

[0133] Database 132 is used for information storage and data retrieval.

[0134] The present invention describes a method for monitoring the behavioral characteristics of dairy cows. The method described below can be referred to in correspondence with the system described above.

[0135] Figure 6 This is a flowchart illustrating the method for monitoring the behavioral characteristics of dairy cows provided by this invention, as shown below. Figure 6 As shown, the application of the dairy cow behavioral and vital sign monitoring system as described in any of the above embodiments includes, but is not limited to, the following steps:

[0136] First, in step S1, the physical characteristics and identity information of the target cow are obtained.

[0137] Vital signs include: body surface temperature and activity information; activity information includes: acceleration, angular velocity, and activity trajectory. Identification information can be the unique ID of the target cow.

[0138] Further, in step S2, a behavioral prediction result for the target cow is generated based on the vital signs information.

[0139] For example, if the vital signs of a target cow exceed a threshold, it can be used to determine whether the target cow is healthy and whether it is in estrus.

[0140] Optionally, vital signs information may include: body surface temperature and activity information;

[0141] The step of generating behavioral prediction results for the target dairy cow based on the vital signs information includes:

[0142] Feature extraction is performed on the activity information to obtain the activity characteristics of the target dairy cow;

[0143] The body surface temperature and the activity characteristics are input into the behavior prediction model to obtain the behavior prediction results output by the behavior prediction model, which include health status and estrus status.

[0144] After receiving the environmental temperature and humidity information, the target cow's physical characteristics information, and the identity information uploaded by the wireless Wi-Fi module 125, the cloud server 131 in the data host computer 130 extracts the activity characteristics such as running, mounting, ruminating, circling, and walking slowly from the activity information in the physical characteristics information, and inputs the target cow's body surface temperature and activity characteristics into the behavior prediction model to obtain the health status and estrus status output by the behavior prediction model.

[0145] Furthermore, in step S3, the combination of the identity information and the behavior prediction result is used as the behavioral feature information of the target cow and output.

[0146] The cloud server 131 can output behavioral characteristic information, including the target cow's identity information and behavioral prediction results, and generate a prompt to breed the target cow if the target cow is healthy and in estrus.

[0147] The method for monitoring the behavioral characteristics of dairy cows provided by this invention can more accurately determine the estrus status and health status of dairy cows by monitoring their vital signs, thereby improving the efficiency of estrus detection, saving manpower, material resources and time costs, reducing the rate of misjudgment and missed judgment, prompting breeders to carry out dairy cow breeding and health care work, and effectively improving the breeding level of farms.

[0148] Figure 7 This is a schematic diagram of the structure of the electronic device provided by the present invention, such as... Figure 7 As shown, the electronic device may include a processor 710, a communications interface 720, a memory 730, and a communication bus 740, wherein the processor 710, communications interface 720, and memory 730 communicate with each other via the communication bus 740. The processor 710 can call logical instructions in the memory 730 to execute a method for monitoring the behavioral characteristics of dairy cows. This method includes: acquiring the vital signs and identity information of a target dairy cow; generating a behavioral prediction result for the target dairy cow based on the vital signs; and outputting the combination of the identity information and the behavioral prediction result as the behavioral feature information of the target dairy cow.

[0149] Furthermore, the logical instructions in the aforementioned memory 730 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0150] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the cow behavior and vital sign monitoring method provided by the above methods. The method includes: acquiring the vital sign information and identity information of a target cow; generating a behavior prediction result of the target cow based on the vital sign information; and outputting the combination of the identity information and the behavior prediction result as the behavioral feature information of the target cow.

[0151] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When executed by a processor, the computer program implements the method for monitoring the behavioral characteristics of dairy cows provided by the above methods. The method includes: acquiring the vital signs information and identity information of a target dairy cow; generating a behavioral prediction result of the target dairy cow based on the vital signs information; and outputting the combination of the identity information and the behavioral prediction result as the behavioral feature information of the target dairy cow.

[0152] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0153] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0154] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A dairy cow behavioral and vital sign monitoring system, characterized in that, include: Vital signs acquisition device, gateway relay device and data host computer; The vital sign acquisition device and the data host computer are respectively connected to the gateway relay device for communication. The vital signs acquisition device is used to collect vital signs information of the target dairy cow; The gateway relay device is used to read the identity information of the target cow, retrieve the vital signs information of the target cow from the vital signs collection device, and send the identity information and the vital signs information to the data host computer. The data host computer is used to generate a behavior prediction result for the target dairy cow based on the vital signs information, and output the combination of the identity information and the behavior prediction result as the behavior feature information of the target dairy cow. The behavior prediction result includes health status and estrus status. The vital signs information includes body surface temperature and activity information; The activity information includes: acceleration, angular velocity, and activity trajectory; The vital sign acquisition device includes a Boolean switch module, which is used to adjust the amplitude of the signals of the angular velocity, the acceleration, the body surface temperature and the activity trajectory by either increasing or decreasing the amplitude.

2. The dairy cow behavioral and vital sign monitoring system according to claim 1, characterized in that, The data host computer includes: a cloud server and a database connected via communication; The cloud server is specifically used for: Feature extraction is performed on the activity information to obtain the activity characteristics of the target dairy cow; The body surface temperature and the activity characteristics are input into a behavior prediction model to obtain the health status and estrus status output by the behavior prediction model; the health status includes: healthy and unhealthy; the estrus status includes: estrus and non-estrus. The database is used to receive and store the body surface temperature, activity information, activity characteristics, health status, and estrus status sent by the cloud server.

3. The dairy cow behavioral and vital sign monitoring system according to claim 2, characterized in that, The vital signs acquisition device includes: an inertial sensor, a temperature sensor, a GPS module, a Bluetooth slave processor, and an SD card; the inertial sensor, the temperature sensor, the GPS module, and the SD card are respectively communicatively connected to the Bluetooth slave processor. The inertial sensor is used to collect the angular velocity and acceleration of the target cow and send the angular velocity and acceleration to the Bluetooth slave processor; The temperature sensor is used to collect the body surface temperature of the target cow and send the body surface temperature to the Bluetooth slave processor; The GPS module is used to collect the activity trajectory of the target dairy cow and send the activity trajectory to the Bluetooth slave processor; The Bluetooth slave processor is used to store the received angular velocity, acceleration, body surface temperature and activity trajectory to the SD card.

4. The dairy cow behavioral and vital sign monitoring system according to claim 3, characterized in that, The Boolean switch module is communicatively connected to the Bluetooth slave processor; A Boolean switch module is used to adjust the signal amplitudes of the angular velocity, acceleration, body surface temperature, and activity trajectory in the Bluetooth slave processor. The Boolean switch includes: an increase button and a decrease button; The amplification button is used to adjust the amplification value of the signal of the angular velocity, the acceleration, the body surface temperature, or the activity trajectory. The amplitude reduction button is used to adjust the amplitude of the signals of the angular velocity, the acceleration, the body surface temperature, or the activity trajectory.

5. The dairy cow behavioral and vital sign monitoring system according to claim 3, characterized in that, The gateway relay device is installed in the pasture where the target dairy cow is located; The gateway relay device includes: a Bluetooth host processor, an RFID module, a serial port, and a wireless Wi-Fi module; The RFID module is used to determine the identity information of the target dairy cow; The Bluetooth host processor is connected to the Bluetooth slave processor and the wireless Wi-Fi module via the serial port; The wireless Wi-Fi module is used to forward the identity information and the vital signs information to the data host computer.

6. The dairy cow behavioral and vital sign monitoring system according to claim 5, characterized in that, The gateway relay device further includes: a temperature and humidity sensor; The temperature and humidity sensor is communicatively connected to the wireless Wi-Fi module; The temperature and humidity sensor is used to collect environmental temperature and humidity information of the pasture where the target dairy cow is located, and send the environmental temperature and humidity information to the wireless Wi-Fi module.

7. A method for monitoring the behavioral characteristics of dairy cows, using the dairy cow behavioral characteristics monitoring system as described in any one of claims 1-6, characterized in that, include: Obtain the physical characteristics and identity information of the target dairy cow; Based on the vital signs information, a behavioral prediction result for the target dairy cow is generated; The combination of the identity information and the behavior prediction result is used as the behavioral feature information of the target cow and output.

8. The method for monitoring the behavioral characteristics of dairy cows according to claim 7, characterized in that, The vital signs information includes: body surface temperature and activity information; The step of generating behavioral prediction results for the target dairy cow based on the vital signs information includes: Feature extraction is performed on the activity information to obtain the activity characteristics of the target dairy cow; The body surface temperature and the activity characteristics are input into the behavior prediction model to obtain the behavior prediction results output by the behavior prediction model, which include health status and estrus status.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the method for monitoring the behavioral characteristics of dairy cows as described in claim 7 or 8.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the method for monitoring the behavioral characteristics of dairy cows as described in claim 7 or 8.

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