Pig cough sound remote monitoring system based on Internet of Things

Abstract

The invention relates to the technical field of intelligent breeding, in particular to a pig cough sound remote monitoring system based on the Internet of Things, a sound collection device and an image collection module are deployed in a sensing layer, an accurate recognition mechanism can control the sound collection device to move to the vicinity of a suspected cough pig for directional collection, and a pipeline is laid above a monitoring recognition area; the sliding suite and the sound collection device are installed, accurate movement of the sound collection device is achieved through a driving motor, a drawing wire and an electromagnetic device, collected sound data are transmitted to a monitoring center in real time, the system is combined with image collection equipment, an image analysis algorithm is used for assisting in recognition of the cough pigs, and the monitoring accuracy is improved. According to the system, environment data and sound data are fused and analyzed, cough reasons are judged, a scientific basis is provided for breeding management, and the system has flexible monitoring and recognition area division and remote intelligent management functions, so that the labor cost and the infection risk are reduced, and the monitoring efficiency and accuracy are improved.

Description

Technical Field

[0001] The present invention relates to the field of smart farming technology, and in particular to a remote monitoring system for pig coughing based on the Internet of Things. Background Art

[0002] With the expansion and intensive development of modern animal husbandry, pig health monitoring has become a critical component in ensuring both profitability and animal welfare. Traditional manual observation methods struggle to provide real-time, comprehensive monitoring of pig health, especially when early signs of illness, such as coughing, are present. Manual observation is inefficient, prone to omissions, and lacks quantitative analysis, making it difficult to implement timely and precise prevention and control measures.

[0003] Although the existing pig cough monitoring technology has made some progress, it still has many limitations. In terms of sound collection, the pig house environment is complex and there are various interfering noises, such as the pig's grunting, eating sounds, and fan sounds in the environment. These background noises will interfere with the accurate collection of cough sounds. Current microphones and other collection equipment have limited performance in noise suppression and target sound extraction, and it is difficult to accurately capture weak or mixed pig coughs in a high-noise environment. In addition, the pig house area is large and the pigs are scattered. To achieve comprehensive and no-dead-angle cough sound collection, a large number of collection equipment need to be deployed, which not only increases the cost, but also faces problems such as equipment power supply and signal transmission. At the same time, too many devices will also have a certain impact on pig house management and pig activities.

[0004] Regarding data transmission, the harsh environment of piggeries can present electromagnetic interference and signal obstruction, leading to unstable wireless signal transmission, packet loss, and delays, impacting the real-time and accuracy of the monitoring system. Sound data is collected at a high frequency, and long-term continuous monitoring generates a large amount of data. However, existing network bandwidth is limited, making it difficult to rapidly transmit large amounts of data, thus limiting the system's monitoring efficiency and coverage.

[0005] In response to the above problems, the present invention proposes a remote monitoring system for pig coughing based on the Internet of Things, aiming to achieve accurate and efficient monitoring of pig coughing through innovative technical solutions and overcome the shortcomings of existing technologies. Summary of the Invention

[0006] In response to the above-mentioned defects and problems, the present invention provides a remote monitoring system for pig coughing sounds based on the Internet of Things. The system solves the problems of inaccurate and susceptible interference in coughing sound collection in complex environments through the cooperation of precise identification mechanisms and pipe and rail systems; utilizes image-assisted recognition and remote control to overcome the defects of low efficiency and high cost of manual monitoring; and by integrating environmental data with sound data, eliminates misjudgments caused by relying solely on sound or image recognition, providing a comprehensive, accurate and efficient solution for pig health monitoring.

[0007] The solution adopted by the present invention to solve its technical problems is: a remote monitoring system for pig coughing based on the Internet of Things, including a sensing layer, which is deployed in the monitoring and identification area of the pig house and includes a sound collection device, a precise identification mechanism and an image collection module. The sound collection device is used to collect pig sound signals, the image collection module is used to obtain images of pig activities, and the precise identification mechanism is used to control the sound collection device to accurately move to the vicinity of the pig emitting the coughing sound; The network layer is used to transmit the information collected by the perception layer, and includes a wireless transmission module and a wireless receiving module; The platform layer includes terminal control devices for storing and analyzing sound data and image data, identifying cough characteristics through sound analysis algorithms, and verifying cough behavior in combination with image analysis algorithms; The application layer serves as the interface between the IoT and users, including user terminals and monitoring centers, for receiving alarm information and displaying monitoring data; The precise identification mechanism includes a pipe-rail system, which is erected above the monitoring and identification area. The sound collection device is installed on the pipe-rail system. The terminal control device controls the sound collection device to move along the pipe-rail system to the target pig position for directional collection based on the preliminary identification results of the cough sound.

[0008] Furthermore, the pipe rail system includes a pipe laid longitudinally along the pig house, a sliding kit is slidingly sleeved on the pipe, and the sound collection device is installed on the sliding kit. A U-shaped groove is fixed above the pipe, and a wire drawing and a cable are arranged in the U-shaped groove. After the wire drawing is arranged around the pig house, the head and tail ends are respectively wrapped around the output shaft of the driving motor in the pig house. The driving motor is remotely controlled by the terminal control device, and the forward and reverse rotation realizes the reciprocating movement of the wire drawing. An electromagnetic device is provided on the pipe rail system, and the electromagnetic device is used to drive the sound collection device to move within the monitoring and identification area.

[0009] Furthermore, the electromagnetic device includes a traction member that is slidably mounted on top of the U-shaped groove member, the traction member is fixed to the wire drawing, and the electromagnetic device and the sound collection device are provided with a locking mechanism that cooperates with each other. In the locked state, the sound collection device moves to the designated pig position within the monitoring and identification area along with the wire drawing and the traction member. In the unlocked state, the sound collection device stays in the center of the monitoring and identification area on the pipeline for long-term sound collection.

[0010] Furthermore, the locking mechanism is composed of an electromagnet installed under the traction member and a magnetic iron sheet embedded in the sliding kit. The cable powers the electromagnet, and the energized electromagnet attracts the magnetic iron sheet, so that the traction member drives the sliding kit and the sound collection device to move synchronously, and the sound collection device is accurately moved near the pig suspected of coughing.

[0011] Furthermore, the sound collection device is composed of a wireless transmission module, a lithium battery and a high-sensitivity microphone. The high-sensitivity microphone is arranged at the bottom of the sliding kit to collect the sounds made by pigs in the area. The wireless transmission module and the lithium battery are respectively arranged on both sides of the sliding kit. The lithium battery powers the sound collection device. The wireless transmission module is used to transmit the collected sound data to the on-site wireless receiving module, and then send it to the terminal control device through the Internet of Things.

[0012] Furthermore, the monitoring and identification areas are divided according to pig pens, and at least one sound collection device is configured in a single area. The division of the monitoring and identification areas is dynamically adjusted based on the breeding density, pigpen layout and pig activity range.

[0013] Furthermore, a sensor module for monitoring the pig house environment data is installed in the pig house. The environmental data monitored by the sensor module is transmitted to the monitoring center in real time. The data processing server of the monitoring center integrates and analyzes these environmental data with the sound data to determine the coughing situation of the pigs.

[0014] Beneficial effects of the present invention: Precise positioning and collection: The system uses an ingenious design of a pipe-rail system combined with an electromagnetic device and a sound collection device. It can accurately move the sound collection device to the vicinity of a pig suspected of coughing, achieving directional and close-range sound collection. This significantly improves the accuracy of cough sound collection and effectively reduces the interference of background noise. Even in a complex pig house environment, it can accurately capture weak cough sound signals, improving the ability to detect diseases early.

[0015] Image-assisted recognition: By installing image acquisition equipment on-site in the piggery, image analysis algorithms are used to identify typical image features of pigs coughing, such as body movements and head movements. This allows suspected coughing pigs to be screened out in advance and provides guidance for sound collection. The dual verification mechanism of image recognition and sound collection improves the accuracy and reliability of cough recognition, avoids possible misjudgments that may occur when relying solely on sound or image recognition, optimizes the monitoring process, and improves overall monitoring efficiency. Remote intelligent management: The system has comprehensive remote monitoring and control functions. The monitoring center can remotely control the drive motor and sound collection device through the network, eliminating the need for frequent manual entry into the pig house to operate equipment, reducing labor costs and infection risks. Managers can use mobile phone apps or web-based monitoring platforms to view real-time monitoring data, historical data charts, and system alarm information on pig coughs, allowing them to promptly understand the health status of pigs and quickly take appropriate measures, thus realizing intelligent and convenient breeding management. Environmental data fusion analysis: In addition to sound collection devices, environmental monitoring sensors such as temperature and humidity sensors and light sensors are also installed in the pig house. The environmental data collected by these sensors are transmitted to the monitoring center in real time. The data processing server at the platform layer fuses and analyzes the environmental data and sound data, and can comprehensively judge the cause of the pigs' coughing, distinguish whether it is a simple disease factor or a stress response caused by environmental factors. This multi-dimensional data analysis method provides a more comprehensive basis for precise prevention and control, helps to take more targeted measures to improve the pig house environment or treat diseases, and improves the scientificity and effectiveness of breeding management. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a schematic diagram of the on-site layout structure of the present invention; Figure 2 This is a schematic diagram of the structure of the pipe rail system and the sound collection device of the present invention; Figure 3 It is the system principle diagram of the present invention; Figure 4 It is a workflow diagram of the present invention; Figure 5 This is a system architecture diagram of the present invention.

[0017] In the figure: 1. Monitoring and identification area; 2. Pipeline; 3. Sliding kit; 4. Wireless transmission module; 5. Lithium battery; 6. High-sensitivity microphone; 7. Magnetic sheet; 8. Traction part; 9. Electromagnet; 10. Wire drawing; 11. U-shaped groove; 12. Cable; 13. Drive motor. DETAILED DESCRIPTION

[0018] The present invention will be further described below with reference to the accompanying drawings and examples.

[0019] See also Figure 1-5 The present invention provides a technical solution for a remote monitoring system for pig coughing based on the Internet of Things. Through innovative mechanical structure design, image and sound fusion recognition technology, and remote intelligent management functions, it effectively solves the problems of inaccurate collection, susceptibility to interference, and unstable data transmission in existing pig coughing monitoring technologies, and realizes accurate, efficient, and remote monitoring of pig coughing, providing strong technical support for smart farming. Example

[0020] according to Figure 3 and Figure 4As shown in the figure, the IoT-based remote monitoring system for pig coughing uses the pig house as the overall detection area and can divide multiple pig pens into independent monitoring and identification areas 1. Each monitoring and identification area 1 is equipped with a precise identification mechanism, the core component of which is a sound acquisition device, which is used to collect various sound information from the pigs. At the same time, an image acquisition device is installed on-site in the pig house. This device has a built-in image acquisition module that can capture moving images of the pigs. The image data is transmitted via the network to the monitoring center. Using image analysis algorithms, the typical image features of pig coughing, such as body movements and head movements, are compared with images of normal and abnormal pigs stored in the image database to accurately identify individuals or groups with coughing symptoms.

[0021] The monitoring system also includes a terminal control device, a monitoring center, and a user app. The monitoring center is equipped with a data receiving, storage, and processing server to receive data from the sound acquisition device, image acquisition module, and various sensors. The terminal control device is equipped with control software. Based on the preliminary sound acquisition situation of the sound acquisition device or the preliminary image analysis results of the image acquisition module, it remotely sends control instructions to the drive motor 13, accurately controls the activation of the precise identification mechanism, and carries the corresponding sound acquisition device to the target pig location for targeted sound acquisition. When collecting the sound of a single pig, the sound signals of other sound acquisition devices can be remotely controlled to be blocked, thereby improving the accuracy of identifying the cough sound of a single pig.

[0022] A wireless receiving module is installed in the pig house, as well as a wireless transmitting module 4 set on the sound collection device. The wireless transmitting module 4 remotely transmits the collected sound information through the wireless receiving module to the terminal control device for analysis and identification.

[0023] In addition to the sound collection device, environmental data collected by other sensors installed in the pig house, such as temperature and humidity sensors and light sensors, is also transmitted in real time to the monitoring center. The monitoring center's data processing server then integrates this environmental data with the sound data for analysis. For example, large fluctuations in temperature and humidity within the pig house may affect the pigs' health, leading to coughing. By analyzing both sound and environmental data, the cause of the pigs' coughing can be more accurately determined, whether it is simply due to disease or a stress response caused by environmental factors, providing a more comprehensive basis for subsequent appropriate measures.

[0024] The monitoring system architecture of the present invention is as follows: The perception layer, the lowest layer of the monitoring system, is primarily used to sense and collect information about the piggery and the pigs. It includes sensors such as temperature and humidity sensors, light sensors, sound sensors, and image acquisition modules, as well as short-range communication devices such as Bluetooth and ZigBee modules. These modules can monitor the temperature and humidity of the piggery environment, the status of the pigs, and capture coughing sounds in real time. Network layer: The function of the network layer is to transmit the information collected by the perception layer. In the pig cough monitoring system, the data collected by the sound collection module is first transmitted to the wireless receiving module through the local wireless network, such as the Wi-Fi network installed in the pig house or using Bluetooth. The wireless receiving module then sends the data to the remote server terminal control device through the mobile network for transmission. In this way, no matter where the monitoring personnel are, as long as there is an Internet connection, they can receive the pig cough data; Platform layer: Data management and processing tasks are primarily handled by terminal control devices. These devices possess data storage, mining, and analysis capabilities, providing a development and operation platform for IoT applications. They are capable of cleaning, classifying, and analyzing large amounts of collected data to extract valuable information. For the pig cough monitoring system, the platform layer stores cough data and environmental data from the pig house. It uses data analysis algorithms to analyze characteristics such as cough frequency and intensity to determine whether the pig's coughing is abnormal. It also correlates cough data with environmental data such as pig house temperature and humidity to determine the impact of environmental factors on pig health. If an anomaly is detected, an alert is immediately issued.

[0025] Application Layer: Serving as the interface between the IoT and users, the application layer provides a variety of specific application services tailored to user needs. It can create a mobile app or web-based monitoring platform for pig farm managers, enabling them to view real-time monitoring data, historical data charts, and system alerts on pig coughing. If the system detects an abnormal cough, managers receive a prompt alert on the application layer platform and can take appropriate action, such as quickly notifying a veterinarian for an inspection. Example

[0026] Based on the first embodiment, this embodiment describes the specific mechanical structure for realizing remote monitoring of pig coughing sounds.

[0027] The pig pens in the pig house are used as the monitoring and identification area 1. One monitoring and identification area 1 can be set as the area of one pig pen, or the areas of multiple pig pens can be reasonably set according to the size of the pig pen and collectively serve as a monitoring and identification area 1. The division of the monitoring and identification area can be flexibly adjusted according to factors such as the pig breeding density, the layout of the pig pens, and the range of pig activity. For example, in a pig pen with a high breeding density, the area of a single monitoring and identification area can be appropriately reduced, and the number of monitoring and identification areas can be increased to ensure that the number of pigs in each area is moderate, so that the sound collection device can accurately identify the coughing sound of individual pigs. A pipe and rail system is built above the monitoring and identification area, and a sound collection device is configured. The sound collection device is used to collect the sound of pigs in the area and analyze and determine whether coughing occurs. The pipe and rail system is used to drive the sound collection device to move accurately to the vicinity of the pig that is coughing through the electromagnetic device thereon, so that the sound collection device can accurately identify the sound.

[0028] The mechanical coordination structure of the pipe rail system and the sound collection device is as follows: Figure 1 and Figure 2 As shown, a pipe 2 is laid longitudinally above the pig pen in the pig house as a track, and a sliding kit 3 is slidingly sleeved on the pipe 2. The sound collection device is installed on the sliding kit 3 and moves with the sliding kit 3 in the pipe-rail system; a U-shaped groove 11 is fixedly set above the pipe 2, and a wire drawing 10 and a cable 12 are sleeved inside the U-shaped groove 11. A drive motor 13 is installed in a suitable place in the pig house. After the wire drawing 10 is arranged around the pig house for a circle, the head and tail ends of the wire drawing 10 are respectively wound and connected to the output shaft of the drive motor 13. The drive motor 13 is remotely controlled by the control center. The drive motor 13 rotates forward and reverse to realize the reciprocating movement of the wire drawing 10. The reciprocating distance is the length of a monitoring and identification area 1. The cable 12 in the U-shaped groove 11 is used to charge and power the electromagnetic device and the sound collection device. The electromagnetic device is used to drive the sound collection device to move, specifically including a traction member 8 that is slidably mounted above the U-shaped groove member 11 in the pipe rail system, and the traction member 8 is fixed to the wire drawing 10. The electromagnetic device and the sound collection device are provided with a locking mechanism that cooperates with each other. The electromagnetic device can be locked or unlocked with the sound collection device through the locking mechanism: in the locked state, the sound collection device moves to the designated pig position in the monitoring and identification area 1 along with the wire drawing 10 and the traction member 8; in the unlocked state, the sound collection device stays in the center of the monitoring and identification area 1 on the pipeline 2 for long-term sound collection.

[0029] The sound collection device consists of a wireless transmission module 4, a lithium battery 5 and a high-sensitivity microphone 6. The high-sensitivity microphone 6 is arranged at the bottom of the sliding kit 3 and is used to collect the sounds made by pigs in the area. The wireless transmission module 4 and the lithium battery 5 are respectively arranged on both sides of the sliding kit 3. The lithium battery 5 supplies power to the sound collection device, and the cable 12 in the pipe rail system can also charge the lithium battery 5. The wireless transmission module 4 is used to transmit the collected sound data to the on-site wireless receiving module, and then send it to the monitoring center through the Internet of Things. The terminal control device analyzes and determines whether the pigs have coughing.

[0030] When the remote monitoring system for pig coughing based on the Internet of Things of the present invention is used, the sound information of each area in the pig house is first collected in real time by the sound collection device, and the sound collection device performs a preliminary analysis on the collected sound. When a cough occurs in a certain area, the high-sensitivity microphone 6 of the sound collection device captures the sound signal. After preliminary analysis and judgment of suspected cough, the wireless transmission module 4 sends the signal to the terminal control device. After receiving the signal, the terminal control device determines the target area. At the same time, the terminal control device collects the image of the pig in the monitoring area where the cough sound is emitted through the image collection module, and analyzes and identifies the sound information and image information collected by the sound collection device and the image collection module to determine the specific location of the pig emitting the cough sound. Then, the terminal control device immediately sends an instruction to the corresponding drive motor 13 based on the location information, and the drive motor 13 is started, and the terminal control device is connected to the monitoring device. The wire drawing 10 drives the traction part 8 to move, and then drives the sound collection device locked with it to move to the vicinity of the suspected coughing pig; after arriving at the designated position, the sound collection device in this area performs accurate sound collection and analysis again, and the sound collection devices in other areas are turned off. The sound collection device in this area continues to collect sound information and transmits it to the monitoring center in real time. The monitoring center uses the sound analysis algorithm to extract and analyze the characteristics of the cough sound, such as the frequency, intensity, and duration of the cough sound, to determine whether the pig is actually coughing. At the same time, the image information collected by the image acquisition device will also be transmitted to the monitoring center. The staff can further confirm the status of the pig through the image information, such as whether there are other abnormal behaviors or symptoms. If it is determined through comprehensive judgment that the pig is coughing, the system will send an alarm message to the management personnel through the user APP, reminding them to pay attention and deal with it in time. Example

[0031] On the basis of the second embodiment, the locking mechanism is composed of an electromagnet 9 installed under the traction member 8 and a magnetic iron sheet 7 embedded in the sliding kit 3. The cable 12 supplies power to the electromagnet 9. When the sound collection device identifies that a pig in a certain area is suspected of coughing, the electromagnet 9 in the current area is energized, while the electromagnets 9 in other areas remain in the off state. Then the driving motor 13 drives the wire drawing 10 to move, causing the traction member 8 to move in the area. At the same time, the energized electromagnet 9 can absorb the magnetic iron sheet 7, causing the traction member 8 to drive the sliding kit 3 and the sound collection device to move synchronously, and the sound collection device is accurately moved to the vicinity of the pig suspected of coughing, and then the sound collection device accurately collects the coughing sound.

[0032] The above description is only a preferred embodiment of the present invention and does not limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A remote monitoring system for pig coughing based on the Internet of Things, characterized in that: include: The perception layer is deployed in the monitoring and identification area of the pig house and includes a sound collection device, a precise identification mechanism, and an image collection module. The sound collection device is used to collect pig sound signals, the image collection module is used to obtain images of pig activities, and the precise identification mechanism is used to control the sound collection device to accurately move to the vicinity of the pig making the coughing sound; The network layer is used to transmit the information collected by the perception layer, and includes a wireless transmission module and a wireless receiving module; The platform layer includes terminal control devices for storing and analyzing sound data and image data, identifying cough characteristics through sound analysis algorithms, and verifying cough behavior in combination with image analysis algorithms; The application layer serves as the interface between the IoT and users, including user terminals and monitoring centers, for receiving alarm information and displaying monitoring data; The precise identification mechanism includes a pipe-rail system, which is erected above the monitoring and identification area. The sound collection device is installed on the pipe-rail system. The terminal control device controls the sound collection device to move along the pipe-rail system to the target pig position for directional collection based on the preliminary identification results of the cough sound.

2. The remote monitoring system for pig coughing based on the Internet of Things according to claim 1 is characterized in that: The pipe-rail system includes a pipe laid longitudinally along the pig house, a sliding kit is slidingly sleeved on the pipe, and the sound collection device is installed on the sliding kit. A U-shaped groove is fixed above the pipe, and a wire drawing and a cable are arranged in the U-shaped groove. After the wire drawing is arranged around the pig house, the head and tail ends are respectively wound around the output shaft of the drive motor in the pig house. The drive motor is remotely controlled by the terminal control device, and the forward and reverse rotation realizes the reciprocating movement of the wire drawing. An electromagnetic device is provided on the pipe-rail system, and the electromagnetic device is used to drive the sound collection device to move within the monitoring and identification area.

3. The remote monitoring system for pig coughing based on the Internet of Things according to claim 2 is characterized in that: The electromagnetic device includes a traction member that is slidably mounted on top of the U-shaped groove member, the traction member is fixed to the wire drawing, and the electromagnetic device and the sound collection device are provided with a locking mechanism that cooperates with each other. In the locked state, the sound collection device moves to the designated pig position within the monitoring and identification area along with the wire drawing and the traction member. In the unlocked state, the sound collection device stays in the center of the monitoring and identification area on the pipeline for long-term sound collection.

4. The remote monitoring system for pig coughing based on the Internet of Things according to claim 3 is characterized in that: The locking mechanism consists of an electromagnet installed under the traction member and a magnetic iron sheet embedded in the sliding kit. The cable supplies power to the electromagnet, and the energized electromagnet attracts the magnetic iron sheet, so that the traction member drives the sliding kit and the sound collection device to move synchronously, and the sound collection device is accurately moved to the vicinity of the pig suspected of coughing.

5. The remote monitoring system for pig coughing based on the Internet of Things according to claim 1 is characterized in that: The sound collection device consists of a wireless transmission module, a lithium battery and a high-sensitivity microphone. The high-sensitivity microphone is arranged at the bottom of the sliding kit and is used to collect the sounds made by pigs in the area. The wireless transmission module and the lithium battery are respectively arranged on both sides of the sliding kit. The lithium battery powers the sound collection device. The wireless transmission module is used to transmit the collected sound data to the on-site wireless receiving module, and then send it to the terminal control device through the Internet of Things.

6. The remote monitoring system for pig coughing based on the Internet of Things according to claim 1 is characterized in that: The monitoring and identification areas are divided according to pig pens, and at least one sound collection device is configured in a single area. The division of the monitoring and identification areas is dynamically adjusted based on the breeding density, pigpen layout and pig activity range.

7. The remote monitoring system for pig coughing based on the Internet of Things according to claim 1 is characterized in that: A sensor module for monitoring the pig house environment data is installed in the pig house. The environmental data monitored by the sensor module is transmitted to the monitoring center in real time. The data processing server of the monitoring center integrates and analyzes these environmental data with the sound data to determine the coughing situation of the pigs.

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