A remote monitoring device and system capable of counting pig disease data

Abstract

The present application relates to livestock health monitoring technical field, especially in a kind of remote monitoring system of pig disease data can be counted, including: image acquisition module: for continuously obtaining piglet image information, the image information is the continuous image information of piglet and piglet living environment collected every second;Data processing module: the real-time analysis processing data is used for the pixel level accurate extraction analysis of the image information obtained, obtains the contour of image pig and the size data of object in environment;Through data analysis piglet today eating time length condition, judge eating amount through waistline change after eating;And through piglet body data combine eating and excretion data carry out pig health state determination, solve the discovery of early characteristics such as anorexia, body change, excretion anomaly caused by determining pig potential epidemic disease, to provide important data support for veterinarian treatment according to symptoms, solve the problem of too long time of determining pig anorexia reason.

Description

A remote monitoring device and system capable of collecting statistical data on swine diseases Technical Field

[0001] This invention relates to the field of livestock health monitoring technology, and in particular to a remote monitoring system and system capable of statistically analyzing swine disease data. Background Technology

[0002] my country has a long history of pig farming. In recent years, with the increase in market demand and the advancement of breeding technology, my country's pig farming industry has gradually developed towards large-scale and specialized operations. Large-scale operations are showing a rapid upward trend, and the proportion of pigs slaughtered by large-scale pig farming in the national output is constantly increasing. However, behind the rapid development of the scale of farming, many problems such as low level of breeding management, backward management technology, and low level of automation have become increasingly prominent. This has led to problems such as high production costs, high labor intensity, and poor economic benefits in pig farming, which have begun to hinder the healthy development of the pig farming industry. Some existing small-scale farmers and scattered farmers generally rely on breeding knowledge and experience or manual methods such as daily records to make judgments. Due to the lack of advanced management technology and means, the production level often depends on the actual management experience of the staff, and the production control is very unstable, which seriously affects the further improvement of production level and comprehensive economic benefits, resulting in the waste of human, material and energy resources. Most seriously, pig diseases cannot be controlled and detected. Once an epidemic occurs, it will affect the quality and quantity of pigs slaughtered, causing heavy losses to farmers.

[0003] Patent application number 201911066908.1 discloses a multi-sensor-based pig health monitoring system, belonging to the field of livestock health monitoring technology. This invention addresses the problems of existing pig monitoring systems being unsuitable for small-scale farmers and having high operating costs. It includes a body temperature monitoring unit, a step count monitoring unit, a data processing unit, and a data transmission unit. The body temperature monitoring unit monitors the pig's body temperature data; the step count monitoring unit monitors the number of steps the pig takes; the data processing unit preprocesses the body temperature data and step count to obtain preprocessed body temperature and step count for a predetermined time period; and the data transmission unit transmits the body temperature and step count for the predetermined time period to a monitoring terminal.

[0004] The aforementioned technologies monitor pig health by aggregating various data, including body temperature and step count. However, their application scenarios are limited, and they cannot accurately obtain disease data or assess the causes of illness. A significant symptom of illness in pigs is loss of appetite. Current technologies mostly use this as a baseline and then observe the pig's continued behavior to provide disease data. Such disease data is lagging. There is a need for a technology that can accurately determine the cause of discomfort when loss of appetite occurs in pigs. Summary of the Invention

[0005] This invention provides a remote monitoring system and system capable of statistically analyzing swine disease data, which can solve the problem of excessively long time required to determine the cause of loss of appetite in swine.

[0006] To solve the above-mentioned technical problems, this application provides the following technical solution:

[0007] A remote monitoring system capable of statistically analyzing swine disease data includes:

[0008] Image acquisition module: used to continuously acquire image information of live pigs, the image information including at least the image information of the current day and the previous day;

[0009] Data processing module: The data processing module is used to acquire image information, extract pixels from the image information to obtain the outline information of the pig in the image; acquire the image information of the feeding trough before and after the pig's feeding on the same day, and extract the pixels of the feeding trough. The amount of food remaining after feeding is used to determine the amount of food consumed by the pig. If the amount of food consumed by the pig is insufficient twice in a day, it is determined to be loss of appetite; the data processing module traces the image information of the pig on the current day and the previous day, analyzes the abnormal behavior before the loss of appetite, and matches the abnormal behavior information with the loss of appetite.

[0010] Terminal: The terminal interacts with the data processing module through the network to obtain real-time image information and abnormal behavior information of pigs;

[0011] The data processing module further classifies abnormal behaviors and generates a processing method for each category. The processing methods include at least medical treatment and self-healing. When pushing abnormal behavior information, the corresponding processing method is also pushed to the terminal.

[0012] The basic principle and beneficial effects of this solution are as follows: By collecting image information from inside the pigpen, the data processing module analyzes the image information and monitors the changes in the amount of food in the trough before and after feeding to obtain the amount of feed consumed by the pigs (one pig eats in one trough). If the amount of feed consumed decreases, that is, there is too much food left in the trough, resulting in insufficient feed intake. If the amount of feed consumed is insufficient twice in a day, it is determined to be loss of appetite. By retrieving the image information of the current day and the previous day, it is checked whether any abnormal behaviors of the pigs have occurred. Abnormal behaviors refer to the differences in state compared with the normal period. According to the different states, corresponding treatment methods such as sending to the vet or waiting for it to heal on its own are issued, and then sent to the terminal.

[0013] This solution sends the processing method and abnormal behavior information, along with the determination of loss of appetite, to the terminal via the network. Users can view the information of the pigs remotely using the terminal and respond in a timely manner.

[0014] This solution employs a forward-looking approach to determine the cause of loss of appetite in pigs, providing corresponding treatment based on the identified cause. This reduces consultation time and improves the efficiency of pig treatment, resolving the problem of excessively long timeframes in identifying the cause of loss of appetite in pigs.

[0015] Furthermore, it also includes an infrared imaging module, which is used to acquire the body temperature information of the pigs and the ambient temperature around the pigs, and generate thermal imaging maps in real time and transmit them to the data processing module.

[0016] Beneficial effects: The location of pigs can be determined through thermal imaging in dark environments, and the temperature of pigs and pigpen environment can be monitored in real time.

[0017] Furthermore, after determining that the pig is unwell, the data processing module extracts the thermal imaging images of the pig for the current day and the previous day to obtain the ambient temperature around the pig. If the difference between the ambient temperature and the suitable temperature for the pig's growth exceeds the first threshold, and the time spent in this environment exceeds the second threshold, it is determined that the pig may be overheated or undercooled.

[0018] Beneficial effects: Pigs are prone to illness if they stay in places with large temperature differences for too long. Thermal imaging can be used to monitor this situation and quickly pinpoint the cause of loss of appetite in pigs.

[0019] Furthermore, after determining that the pig is unwell, the data processing module extracts image information from the current day and the previous day, establishes the head orientation vector information of the pig when sleeping based on the image information, and then establishes an image of the air intake range of the pigpen window air inlet. If the head orientation vector falls within the range image, and the distance between the pig's head and the air inlet is calculated to be lower than the threshold based on the preset reference objects in the pigpen, then it is determined that the pig is cold.

[0020] Beneficial effects: Drafts in the environment may also be a cause of illness and loss of appetite in pigs. By monitoring the positional and angular relationship between the pig and the window, it can be determined whether the pig is exposed to drafts while sleeping. If the duration of the draft exceeds a certain threshold, it can easily lead to colds.

[0021] Furthermore, it also includes an air conditioning compressor, which is used to regulate the temperature inside the pigpen; the data processing module acquires a thermal imaging map, obtains the temperature inside the pigpen from the thermal imaging map, and if the temperature is within a preset temperature range, the air conditioning compressor does not start; if the temperature is lower or higher than the preset temperature, the air conditioning compressor is turned on to regulate the temperature inside the pigpen to the preset temperature range.

[0022] Beneficial effects: The air conditioning compressor is used to regulate the temperature in the pigpen according to the needs, allowing the pigs to grow in a comfortable temperature, reducing the chance of disease and increasing the growth rate.

[0023] Furthermore, the abnormal behavior includes at least the following: fighting among pigs on the same day or the previous day; overfeeding; or exposure to heat or cold.

[0024] Beneficial effects: When pigs fight, they lose energy and may be injured. Victory or defeat can affect their mood, leading to depression and loss of appetite. Overeating the previous day can result in a feeling of fullness the next day, making them less hungry even after small meals. Both of these situations can resolve themselves. Overheating or cooling is related to weather or special circumstances. In hot weather, when indoor temperatures exceed the recommended range for pigs, growth is restricted and organ function is hindered, leading to loss of appetite. In cold weather, prolonged exposure to cold drafts on the pig's head while sleeping can also cause chills, affecting the immune system and leading to colds. Both overheating and cooling require veterinary intervention to prevent the spread of symptoms and serious harm to the pig's health, thus minimizing economic losses.

[0025] Furthermore, the data processing module also archives and stores the loss of appetite, abnormal behavior, and solutions for each pig.

[0026] Beneficial effects: The disease data, such as the abnormal behaviors and treatment methods that have been processed, are archived and saved for easy review later. It can also form a growth record of pigs, so that all parties can quickly verify the growth and health status of each pig after it enters the market.

[0027] A remote monitoring system for statistically analyzing swine disease data includes an audio acquisition module comprising several microphones fixed in the swine pen's activity area. The audio acquisition module acquires the sound information of the swine; it pre-collects swine cough sounds to establish a sample database, processes the collected cough sounds digitally, and stores the data to form a cough database; after digitally processing the swine sound information, it compares it with the cough database. If the data difference is within a preset range, it is determined that the swine is coughing, and the data processing module generates cough information and transmits it to the terminal.

[0028] Beneficial effects: By acquiring and digitizing the sound information of pigs, and then comparing it with the cough sound data in the database, if the sound information is found in the database, the pig shows signs of coughing. This information is then transmitted to the terminal for the breeder to understand, and a veterinarian is promptly arranged to examine the pig and provide professional medical advice. Attached Figure Description

[0029] Figure 1 is a schematic diagram of the system in Embodiment 1. Detailed Implementation

[0030] The following detailed description illustrates the specific implementation method:

[0031] Example 1 is shown in Figure 1.

[0032] A remote monitoring system capable of statistically analyzing swine disease data includes:

[0033] Image acquisition module: used to continuously acquire image information of pigs, including image information of the current day and the previous day; the image information includes the daily life of pigs, such as walking, feeding, sleeping, etc., as well as environmental information of the pigs' living environment, such as the overall view of the pigpen.

[0034] Data processing module: The data processing module is used to acquire image information, extract pixels from the image information to obtain the outline information of the pig in the image; acquire the image information of the feeding trough before and after the pig's feeding on the same day, and extract the pixels of the feeding trough; and obtain the pig's feed intake by the amount of food remaining after feeding. If the pig's feed intake is insufficient twice in a day, it is judged as loss of appetite; the data processing module traces the image information of the pig on the current day and the previous day, analyzes the abnormal behavior before the loss of appetite, and matches the abnormal behavior information with the loss of appetite; the data processing module selects an electronic computer with an i510400fcpu core chip, and the image acquisition module selects a 180-degree ultra-wide-angle monitoring camera. The data processing module analyzes and processes the acquired graphics, sound, and information.

[0035] The data processing module divides the image of the feeding trough into three equal parts. If more than one-third of the food remains, the pig is considered not full; if this happens twice consecutively, it is considered to have a poor appetite. If the trough is completely filled and the pig finishes all the food (the bottom of the trough is visible in the camera's view), it is considered to have overfed. The dimensions of the feeding trough are stored in the data processing module as a reference point. Based on the proportions in the image and the dimensions of the feeding trough, the distances between objects can be calculated.

[0036] It also includes an infrared imaging module, which acquires the pig's body temperature and the ambient temperature around the pig, and generates thermal imaging maps in real time, which are then transmitted to the data processing module. After determining that the pig is lethargic, the data processing module extracts the thermal imaging maps of the pig for the current day and the previous day to determine the ambient temperature around the pig. If the difference between the ambient temperature and the suitable temperature for the pig's growth exceeds a first threshold, and the pig has been in this environment for more than a second threshold, then it is determined that the pig may be overheating or undercooling. Because piglets' thermoregulation function is not fully developed, they are highly sensitive to temperature changes, especially low temperatures. Therefore, low temperatures can have a significant impact on the growth, development, and health of piglets. In low-temperature environments, piglets' activity is restricted, the frequency of nursing decreases, and nutrient intake is insufficient, directly affecting their growth rate. Low temperatures can reduce the resistance of the piglets' digestive and respiratory tracts, often leading to diseases of these tracts. Under low-temperature conditions, the number of piglets killed by sows due to cold increases, and piglets may also freeze to death when the temperature is too low. In high-temperature environments, pigs need to suppress heat production and reduce the burden of heat dissipation to maintain a constant body temperature, thus reducing feed intake. High temperatures decrease the excitability of the pig's feeding center, leading to reduced feed intake, insufficient nutrient supply, and slow weight gain. High temperatures alter the normal endocrine activity of pigs, reduce metabolic activity, and affect growth, development, and weight gain. High temperatures have a significant impact on pig health. They reduce pigs' resistance and immunity, making them more susceptible to various diseases. The ambient temperature for fattening pigs refers to the temperature in the pigsty, with an optimal temperature range of 15-22℃. The optimal temperature varies depending on the pig's growth stage and weight, and the specific calculation formula is: T = 26 - 0.06W, where T represents the optimal temperature for growth and W represents the pig's weight. It also includes an air conditioning compressor, which is used to regulate the temperature inside the pigpen; the data processing module acquires thermal imaging maps and obtains the temperature inside the pigpen from the thermal imaging maps. If the temperature is within a preset temperature range, the air conditioning compressor will not start; if the temperature is lower or higher than the preset temperature, the air conditioning compressor will be turned on to regulate the temperature inside the pigpen to the preset temperature range, that is, the preset suitable temperature for pig growth is 15-22℃.

[0037] Loss of appetite can be caused by various factors, including common abnormal behaviors such as fighting, overeating, and exposure to heat or cold. When pigs fight, they lose energy, may be injured, and the outcome of the fight can affect their mood, leading to depression and loss of appetite. Overeating the previous day can result in a feeling of fullness the next day, making them not hungry even after eating small amounts. Both of these situations can resolve themselves. Exposure to heat or cold is related to weather or specific circumstances. In hot weather, when the indoor temperature exceeds the recommended range for pigs, their growth is restricted, and the functioning of their organs is hindered, leading to loss of appetite. Similarly, cold weather or prolonged exposure to cold drafts while sleeping can cause chills, affecting the immune system and leading to colds. Both heat and cold require veterinary intervention to prevent the spread of symptoms and serious harm to the pig's health, thus minimizing economic losses.

[0038] After determining that the pigs are lethargic, the data processing module extracts image information from the current day and the previous day. Based on the image information, it establishes the head orientation vector information of the pigs while sleeping, and then creates an image of the air intake range of the pigpen window vent. If the head orientation vector falls within the range image, and the distance between the pig's head and the air intake vent is calculated to be below a threshold based on preset reference objects in the pigpen, then the pig is judged to be cold. When the pig is sleeping, if its head is facing the window opening and the straight-line distance to the window is within 1 meter, and cold air has been blowing continuously for more than 1 hour at night, then the loss of appetite is judged to be likely caused by being cold.

[0039] Terminal: The terminal interacts with the data processing module through the network to obtain real-time image information and abnormal behavior information of pigs; the abnormal behavior information and processing methods are packaged into disease data and sent to the terminal, i.e., the farmer's mobile phone.

[0040] The data processing module also archives and stores the loss of appetite, abnormal behavior, and solutions for each pig. Archiving and saving disease data such as processed abnormal behaviors and treatment methods facilitates later review and creates growth records for the pigs. After the pigs enter the market, all parties can quickly verify the growth and health status of each pig.

[0041] In this solution, the image acquisition module continuously acquires image information of the pigs and their living environment every second; the data processing module is used to analyze the acquired image information in real time, perform pixel-level precise extraction and analysis of the image information, and obtain data such as the precise outline, body length, chest circumference, and waist circumference of the pigs in the image. The weight of the pigs is obtained through a weighing scale, and the size data of the living environment is obtained through the image ratio relationship; the feeding time of the pigs is analyzed through data analysis, and the feed intake is judged by the change in waist circumference after feeding. If waist circumference data is difficult to obtain, the feed intake is judged by the amount of food remaining in the feeding trough.

[0042] By precisely identifying the pig's outline and judging the shape of its excrement on the ground, the system determines the pig's secretion status. It then combines body data with feeding and excretion data to assess the pig's health. For example, if the previous day's total feed intake was high but excretion was low (based on the standard feed intake for pigs; in this example, 1 kg of feed intake corresponds to 0.7 kg of excretion, determined by comparing the pig's weight before and after excretion, or by collecting and weighing the excrement; higher than the standard is considered high, lower is considered low), it can be determined that the pig is experiencing indigestion, leading to poor appetite today. If the excrement is liquid (widely distributed with continuous pixels, indicating diarrhea), it is labeled as indigestion. The audio acquisition module obtains real-time sound information from the pig, monitoring for coughing sounds to provide supplementary evidence for health status assessment. This system addresses the early detection of potential diseases in pigs, such as loss of appetite, changes in body shape, and abnormal excretion, providing crucial data support for veterinarians in symptom-based treatment.

[0043] It also includes a remote monitoring system that uses the above-mentioned system to collect statistical data on swine diseases, including an audio acquisition module: including several microphones, the microphones are fixed in the activity area of ​​the pigs in the pigpen, the audio acquisition module acquires the sound information of the pigs; it collects pig cough sounds in advance to establish a sample database, and processes the collected pig cough sounds into data, stores them, and forms a cough database; after processing the pig sound information into data, it compares it with the cough database, if the data difference is within a preset range, it is determined that the pig has a cough, the data processing module generates cough information, and transmits it to the terminal. The cough database uses coughs induced by various respiratory diseases and other common sound signals, as well as valid sound signals obtained through artificial labeling. All sound signals undergo preprocessing, including endpoint detection, denoising, and emphasis. The endpoint detection uses a dual-threshold method based on short-time average zero-crossing rate and short-time average energy to extract the start and end points of the cough sound signal. The denoising uses spectral subtraction to subtract the estimated average noise energy value from the energy value of the cough sound signal, reducing the impact of environmental noise on the extraction of sound feature parameters. The acquired sound information data is then compared within the cough database after denoising and emphasis. If the same value is found, it is determined that the pig has coughing behavior, and a timely reminder is given on the terminal.

[0044] Example 2

[0045] The difference between Example 2 and Example 1 is that the thermal imaging module is also used to determine the pig's excretion status. The logic is as follows: the data processing module analyzes the thermal imaging image. If heat sources separate in the image, with one heat source remaining constant while the other rapidly cools down (i.e., excrement detaches from the pig's body and falls to the ground; initially, the excrement temperature tends to match the pig's body temperature, but after excretion, it cools rapidly), it determines that the pig is in a defecation state. If the excrement falls to the ground in a parabolic trajectory and is relatively continuous... The system determines that the pig is urinating. If the excrement falls vertically, it is considered feces. The time and frequency of the pig's defecation are recorded as parameters of its health. If the excrement is feces but spreads out in a liquid state after falling to the ground (not in clumps), it is considered diarrhea. This generates a signal of indigestion for the pig and transmits it to the terminal. Thermal imaging is used to obtain the pig's excretion status. Compared with image information, this increases the applicable scenarios, such as being able to distinguish in dark conditions, providing better and more timely monitoring of the pig's excretion status.

[0046] The above are merely embodiments of the present invention. The invention is not limited to the fields covered by these embodiments. Commonly known structures and characteristics in the solutions are not described in detail here. Those skilled in the art are aware of all common technical knowledge in the field prior to the application date or priority date, are able to access all existing technologies in that field, and have the ability to apply conventional experimental methods prior to that date. Those skilled in the art can, under the guidance of this application, improve and implement this solution in combination with their own capabilities. Some typical known structures or methods should not be obstacles for those skilled in the art to implement this application. It should be noted that those skilled in the art can make several modifications and improvements without departing from the structure of the present invention. These should also be considered within the scope of protection of the present invention, and will not affect the effectiveness of the implementation of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. A remote monitoring system capable of statistically analyzing swine disease data, characterized in that, include: Image acquisition module: used to continuously acquire image information of pigs, including at least image information from the current day and the previous day; Data processing module: the data processing module is used to acquire image information, extract pixels from the image information to obtain the outline information of the pigs in the image; acquire image information of the feeding trough before and after the pigs eat today, extract pixels from the feeding trough, and determine the pig's feed intake by the amount of food remaining after eating. If the pig's feed intake is insufficient twice in a day, it is determined to have a poor appetite; the data processing module traces the image information of the pigs from the current day and the previous day, analyzes the abnormal behavior before the onset of a poor appetite, and pairs the abnormal behavior information with the manifestation of a poor appetite; Terminal: The terminal interacts with the data processing module via a network to acquire real-time image information and abnormal behavior information of the pigs. The data processing module further classifies abnormal behaviors and generates a processing method for each category. These processing methods include at least veterinary intervention and self-healing. The corresponding processing method is pushed to the terminal along with the abnormal behavior information. The terminal also includes an infrared imaging module, which acquires the pig's body temperature and the ambient temperature, and generates a thermal imaging map in real time, which is then transmitted to the data processing module. The thermal imaging module is also used for judgment... The logic for monitoring a pig's excretion is as follows: The data processing module analyzes thermal imaging images. If heat sources separate in the image, with one heat source remaining constant while the other rapidly cools down, it determines that the pig is excreting. If the excrement falls to the ground in a parabolic trajectory and is relatively continuous, it is determined that the pig is urinating. If the excrement falls vertically, it is determined to be feces. During excretion, the time and frequency of excretion are recorded as parameters of the pig's health. If the excrement is feces but spreads out in a liquid state after falling to the ground, an indigestion signal is generated for the pig and transmitted to the terminal.

2. The remote monitoring system for statistically analyzing swine disease data according to claim 1, characterized in that: After determining that the pig has a poor appetite, the data processing module extracts the thermal imaging images of the pig for the current day and the previous day to obtain the ambient temperature around the pig. If the difference between the ambient temperature and the suitable temperature for the pig's growth exceeds the first threshold, and the time spent in this environment exceeds the second threshold, it is determined that the pig may be overheated or undercooled.

3. The remote monitoring system for statistically analyzing swine disease data according to claim 1, characterized in that: After determining that the pig is unwell, the data processing module extracts image information from the current day and the previous day, establishes the head orientation vector information of the pig when sleeping based on the image information, and then establishes the air intake range image of the air inlet of the pigpen window. If the head orientation vector falls within the range image, and the distance between the pig's head and the air inlet is calculated to be less than the threshold based on the preset reference objects in the pigpen, then it is determined that the pig is cold.

4. The remote monitoring system for statistical analysis of swine disease data according to claim 2, characterized in that: It also includes an air conditioning compressor, which is used to regulate the temperature inside the pigpen; the data processing module acquires a thermal imaging map, obtains the temperature inside the pigpen from the thermal imaging map, and if the temperature is within a preset temperature range, the air conditioning compressor does not start; if the temperature is lower or higher than the preset temperature, the air conditioning compressor is turned on to regulate the temperature inside the pigpen to the preset temperature range.

5. A remote monitoring system for statistically analyzing swine disease data according to claim 2, characterized in that: The abnormal behavior includes at least the following: fighting among pigs on the same day or the previous day; overfeeding; or exposure to heat or cold.

6. The remote monitoring system for statistically analyzing swine disease data according to claim 1, characterized in that: The data processing module also archives and stores the loss of appetite, abnormal behavior, and solutions for each pig.

7. A remote monitoring device capable of statistically analyzing swine disease data, employing the system described in any one of claims 1-6, characterized in that: It also includes an audio acquisition module: comprising several microphones, which are fixed in the activity area of ​​the pigs in the pigpen. The audio acquisition module acquires the sound information of the pigs; it pre-collects pig cough sounds to establish a sample database, and processes the collected pig cough sounds into data, stores them, and forms a cough database; after processing the pig sound information into data, it compares it with the cough database. If the data difference is within a preset range, it is determined that the pig has a cough. The data processing module generates cough information and transmits it to the terminal.

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