Live pig abnormity monitoring and early warning method and system based on behavior data

Abstract

The invention relates to the technical field of live pig breeding, and discloses a live pig abnormity monitoring and early warning method based on behavior data, and the method comprises the following steps: inputting all normal monitoring content data of a live pig into a rear-end processing system through an initial data input module; a plurality of groups of image cameras are arranged in the activity range of the live pig and used for monitoring the living environment temperature, the body surface temperature, the behavior action, the feeding rate, the breathing rate, the skin appearance, the faeces and the urine color content around the live pig for synchronous monitoring. According to the live pig abnormity monitoring and early warning method and system based on behavior data, the chip is fixed on the ear of the live pig through the punch-in device, the growth data of the updated live pig is continuously written into the chip through the storage module, and the chip on each live pig remotely and regularly transmits a signal to the rear-end processing system; and the acquired data content can be stored in time according to the chip of each live pig, and early warning judgment can be performed in time.

Description

Technical Field

[0001] The present invention relates to the technical field of pig breeding, and in particular to a method and system for monitoring and warning of pig abnormalities based on behavior data. Background Art

[0002] With the development of the breeding industry, pig breeding has gradually moved towards scale and intensiveness, but this has also brought about the problem of pig behavior monitoring; traditional manual monitoring methods have been unable to meet the needs of modern breeding industry due to the limitation of labor costs and monitoring efficiency issues. The health of pigs is directly related to social and economic interests and food safety; the pigs' body size, weight, body temperature, behavior and other physiological growth indicators are important indicators reflecting the individual physiological state and health status of pigs. Monitoring the above indicators and promptly issuing warnings for abnormal situations is a top priority for the pig breeding industry.

[0003] According to the time dimension-based abnormal behavior monitoring method for pigs mentioned in the invention patent with Chinese patent application number 202410818638.X, the time dimension-based abnormal behavior monitoring method for pigs can reduce the cost of manpower monitoring of abnormal behavior of pigs and improve breeding quality when used. However, the time dimension-based abnormal behavior monitoring method for pigs classifies and monitors each pig when used to avoid data overlap. This monitoring method is prone to the problem that when a single pig in a group of pigs has health abnormalities, it is not easy to be monitored in time and it is easy to spread to an entire group of pigs. It is impossible to visualize the data management of the health of the pigs, making it impossible to reasonably arrange monitoring resources and improve monitoring efficiency. Therefore, it is necessary to propose a pig abnormality monitoring and early warning method and system based on behavioral data to solve the above-mentioned problems. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the deficiencies in the prior art, the present invention provides a method and system for monitoring and warning of abnormal pigs based on behavioral data, which has the advantages of being able to perform data visualization management of the health of pigs, and solves the problem in the background technology that data visualization management of the health of pigs is not possible.

[0006] (II) Technical solution

[0007] In order to achieve the above-mentioned purpose of data visualization management of the health of pigs, the present invention provides the following technical solution: a method for monitoring and early warning of abnormal pigs based on behavioral data, comprising the following steps:

[0008] Step 1: Input various normal monitoring content data of live pigs into the back-end processing system through the initial data input module;

[0009] Step 2: Multiple sets of image cameras are deployed within the activity range of the pigs to monitor the living environment temperature, body surface temperature, behavior, eating, breathing rate, skin appearance, feces, and urine color of the pigs for synchronous monitoring;

[0010] Step 3: After the image acquisition camera captures the relevant monitoring content of the pigs, the video is automatically screenshotted and recorded and transmitted to the back-end processing system in real time;

[0011] Step 4: Targetedly transmit and store the monitoring contents of each pig into the storage modules of different chips of each pig;

[0012] Step 5: Compare the acquired data of the pigs with the initial data to ensure that the data of the pigs are normal, thereby ensuring the health of the pigs. Abnormal monitoring data will be directly transmitted to the monitoring alarm system and fed back to the farmers.

[0013] Furthermore, the monitoring content data of the normal data described in step one include: living environment temperature, normal body surface temperature of pigs, normal behavior of pigs, normal eating conditions of pigs, normal breathing rate of pigs, normal feces of pigs and normal urine color of pigs.

[0014] Furthermore, in step 2, the optimal temperature of the living environment around the pigs is about 15-23 degrees Celsius, the normal body surface temperature of the pigs is 39 degrees Celsius, the abnormal feces of the pigs include watery and dry feces, and the abnormal urine color of the pigs is turbid.

[0015] Furthermore, the abnormal behaviors of the pigs in step 2 include swaying while walking, lying motionless in the corner, drinking dirty water, gnawing on the wall, etc., and the skin abnormalities of the pigs include swelling, ulcers, and the appearance of erythema or red spots.

[0016] A pig abnormality monitoring and early warning system based on behavioral data, comprising the following:

[0017] Remote monitoring module: used to remotely monitor the living environment temperature, body surface temperature, behavior, eating, breathing rate, skin appearance, feces, and urine color of pigs;

[0018] Image acquisition camera: used to collect images and videos of pigs’ behavior, eating, breathing rate, skin appearance, feces, and urine color;

[0019] Data input module: used to input data collected on the pig's body surface temperature, behavior, eating, breathing rate, skin appearance, feces, and urine color;

[0020] Back-end processing system: used to compare the initial data of pigs with the input data to determine whether the pigs are healthy;

[0021] Storage module: used to store data on the pig's body surface temperature, behavior, eating, breathing rate, skin appearance, feces, and urine color;

[0022] Monitoring and alarm system: used to remind farmers whether there are health problems with pigs;

[0023] Initial data input module: used to input data information before pig monitoring;

[0024] Chip: The chip is fixed on the pig's ear through a card punch to form a pig number, which is used to obtain the breeding status of each pig.

[0025] Furthermore, the remote monitoring module includes the following:

[0026] Temperature monitoring module, used to monitor the ambient temperature of the pigs, the surface temperature of the pigs and the temperature of the pigs’ ears;

[0027] Behavior and action monitoring module: used to monitor abnormal behavior and actions of pigs to determine their health status;

[0028] Feeding monitoring module: used to monitor whether pigs eat quickly, do not eat, or eat frequently;

[0029] Respiratory rate monitoring module: used to monitor the respiratory rate of pigs;

[0030] Skin appearance monitoring module: used to monitor the skin health of pigs and determine the health of pigs;

[0031] Abnormal feces monitoring module: used to monitor the feces health of pigs;

[0032] Urine color monitoring module: used to monitor whether the urine color of pigs is healthy.

[0033] Furthermore, the temperature monitoring module includes a first temperature sensor, a first infrared monitor and a second infrared monitor, the first temperature sensor is used to monitor the ambient temperature of the pig, the first infrared monitor is used to monitor the body surface temperature of the pig, and the second infrared monitor is used to monitor the ear root temperature of the pig.

[0034] (III) Beneficial effects

[0035] Compared with the prior art, the present invention provides a method and system for monitoring and warning of abnormal pigs based on behavioral data, which has the following beneficial effects:

[0036] 1. The method and system for monitoring and early warning of abnormal pigs based on behavioral data inputs normal monitoring content data of pigs into the back-end processing system through the initial data input module; multiple groups of image cameras are arranged within the activity range of the pigs to monitor the living environment temperature, body surface temperature, behavior, eating, breathing frequency, skin appearance, feces, and urine color of the pigs for synchronous monitoring; after the image acquisition camera captures the relevant monitoring content of the pigs, the video is automatically screenshotted and recorded and transmitted to the back-end processing system in real time; the monitoring content of each pig is transmitted and The data are stored in the storage modules of different chips of each pig; the data of each pig obtained are compared with the initial data to ensure that the data of the pig are normal, thereby ensuring the health of the pig. Abnormal monitoring data will be directly transmitted to the monitoring alarm system and fed back to the farmers. The farmers can find the relevant pigs according to the chip based on the information fed back by the monitoring, and can store and view the data through the pig chip and the back-end processing system. Pigs with data problems will be allocated a certain amount of time for more data monitoring, so that monitoring resources can be reasonably arranged according to the data situation to improve monitoring efficiency.

[0037] 2. The method and system for monitoring and early warning of abnormal pigs based on behavioral data, by setting a chip, the chip has the function of sending signals at a fixed time. The chip is embedded in the ear tag and fixed on the pig's ear through a punch card. The chip adopts RFIO technology, internal chip and antenna. The chip can be read by a reader and writer, and the storage module continuously writes and updates the pig's growth data to the inside of the chip. The chip on each pig transmits a signal to the back-end processing system at a long distance and at a fixed time. The acquired data content can be stored in time according to the chip of each pig, and timely early warning judgment can be made, so as to facilitate targeted monitoring of each pig. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a structural flow chart of the monitoring and early warning method of the present invention;

[0039] Figure 2 This is a schematic diagram of the structure of the abnormal pig monitoring and early warning system of the present invention;

[0040] Figure 3 This is a schematic diagram of the structure of the pig remote monitoring module of the present invention;

[0041] Figure 4 It is a schematic diagram of the structure of the temperature monitoring module of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] See also Figure 1-4 , a pig abnormality monitoring and early warning method based on behavioral data, comprising the following steps:

[0044] Step 1: Input various normal monitoring content data of live pigs into the back-end processing system through the initial data input module;

[0045] Step 2: Multiple sets of image cameras are deployed within the activity range of the pigs to monitor the living environment temperature, body surface temperature, behavior, eating, breathing rate, skin appearance, feces, and urine color of the pigs for synchronous monitoring;

[0046] Step 3: After the image acquisition camera captures the relevant monitoring content of the pigs, the video is automatically screenshotted and recorded and transmitted to the back-end processing system in real time;

[0047] Step 4: Targetedly transmit and store the monitoring contents of each pig into the storage modules of different chips of each pig;

[0048] Step 5: Compare the acquired data of the pigs with the initial data to ensure that the data of the pigs are normal, so as to ensure the health of the pigs. Abnormal monitoring data will be directly transmitted to the monitoring alarm system and fed back to the farmers.

[0049] A pig abnormality monitoring and early warning system based on behavioral data, comprising the following:

[0050] Remote monitoring module: used to remotely monitor the living environment temperature, body surface temperature, behavior, eating, breathing rate, skin appearance, feces, and urine color of pigs;

[0051] Image acquisition camera: used to collect images and videos of pigs’ behavior, eating, breathing rate, skin appearance, feces, and urine color;

[0052] Data input module: used to input data collected on the pig's body surface temperature, behavior, eating, breathing rate, skin appearance, feces, and urine color;

[0053] Back-end processing system: used to compare the initial data of pigs with the input data to determine whether the pigs are healthy;

[0054] Storage module: used to store data on the pig's body surface temperature, behavior, eating, breathing rate, skin appearance, feces, and urine color;

[0055] Monitoring and alarm system: used to remind farmers whether there are health problems with pigs;

[0056] Initial data input module: used to input data information before pig monitoring;

[0057] Chip: The chip is fixed on the pig's ear through a card punch to form a pig number, which is used to obtain the breeding status of each pig.

[0058] In the case implementation, the remote monitoring module includes the following:

[0059] Temperature monitoring module, used to monitor the ambient temperature of the pigs, the surface temperature of the pigs and the temperature of the pigs’ ears;

[0060] Behavior and action monitoring module: used to monitor abnormal behavior and actions of pigs to determine their health status;

[0061] Feeding monitoring module: used to monitor whether pigs eat quickly, do not eat, or eat frequently;

[0062] Respiratory rate monitoring module: used to monitor the respiratory rate of pigs;

[0063] Skin appearance monitoring module: used to monitor the skin health of pigs and determine the health of pigs;

[0064] Abnormal feces monitoring module: used to monitor the feces health of pigs;

[0065] Urine color monitoring module: used to monitor whether the urine color of pigs is healthy.

[0066] In the case implementation, various normal monitoring content data of live pigs are input into the back-end processing system through the initial data input module; multiple groups of image cameras are deployed within the activity range of the live pigs to monitor the living environment temperature, body surface temperature, behavior, eating, breathing rate, skin appearance, feces, and urine color content around the live pigs for synchronous monitoring.

[0067] In the case implementation, after the image acquisition camera captures the relevant monitoring content of the pigs, it automatically takes screenshots and records the video and transmits it to the back-end processing system in real time; the monitoring content of each pig is transmitted and stored in the storage modules of different chips of each pig in a targeted manner.

[0068] In the case implementation, the various data of the pigs obtained will be compared with the initial data to ensure that the data of the pigs are normal, thereby ensuring the health of the pigs. Abnormal monitoring data will be directly transmitted to the monitoring alarm system and fed back to the farmers. The farmers will find the relevant pigs according to the chip based on the information feedback from the monitoring, and can store and view the data through the pig chip and the back-end processing system. Pigs with data problems will be allocated a certain amount of time to monitor more groups of data, so that monitoring resources can be reasonably arranged according to the data situation to improve monitoring efficiency.

[0069] By setting the chip, the chip has the function of sending signals at a fixed time. The chip is embedded in the ear tag and fixed on the pig's ear through a punch card. The chip adopts RFIO technology, internal chip and antenna. The chip can be read by a reader and writer, and the storage module continuously writes and updates the pig's growth data to the inside of the chip. The chip on each pig transmits signals to the back-end processing system at a long distance and at a fixed time. The acquired data content can be stored in time according to the chip of each pig, and timely early warning judgment can be made, which is convenient for targeted monitoring of each pig.

[0070] In summary, the method and system for monitoring and early warning of abnormal pigs based on behavioral data inputs various normal monitoring content data of pigs into the back-end processing system through the initial data input module; multiple groups of image cameras are arranged within the activity range of the pigs to monitor the living environment temperature, body surface temperature, behavioral movements, eating, breathing frequency, skin appearance, feces, and urine color content around the pigs for synchronous monitoring; after the image acquisition camera captures the relevant monitoring content of the pigs, the video is automatically screenshotted and recorded and transmitted to the back-end processing system in real time; and the various monitoring contents of each pig are transmitted to the back-end processing system in a targeted manner. The data are input and stored in the storage modules of different chips of each pig; the various data of the pigs obtained are compared with the initial data to ensure that the data of the pigs are normal, thereby ensuring the health of the pigs. Abnormal monitoring data will be directly transmitted to the monitoring alarm system and fed back to the farmers. The farmers can find the relevant pigs according to the chip based on the information fed back by the monitoring, and can store and view the data through the pig chip and the back-end processing system. Pigs with data problems are allocated a certain amount of time to carry out more sets of data monitoring, so that the monitoring resources can be reasonably arranged according to the data situation to improve the monitoring efficiency.

[0071] In addition, by setting up the chip, the chip has the function of sending signals at a fixed time. The chip is embedded in the ear tag and fixed on the pig's ear through a punch card. The chip adopts RFIO technology, internal chip and antenna. The chip can be read by a reader and writer, and the storage module continuously writes and updates the pig's growth data to the inside of the chip. The chip on each pig transmits signals to the back-end processing system at a long distance and at a fixed time. The acquired data content can be stored in time according to the chip of each pig, and timely early warning judgment can be made, which is convenient for targeted monitoring of each pig.

[0072] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0073] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A pig abnormality monitoring and early warning method based on behavioral data, characterized in that: The following steps are involved: Step 1: Input various normal monitoring content data of live pigs into the back-end processing system through the initial data input module; Step 2: Multiple sets of image cameras are deployed within the activity range of the pigs to monitor the living environment temperature, body surface temperature, behavior, eating, breathing rate, skin appearance, feces, and urine color of the pigs for synchronous monitoring; Step 3: After the image acquisition camera captures the relevant monitoring content of the pigs, the video is automatically screenshotted and recorded and transmitted to the back-end processing system in real time; Step 4: Targetedly transmit and store the monitoring contents of each pig into the storage modules of different chips of each pig; Step 5: Compare the acquired data of the pigs with the initial data to ensure that the data of the pigs are normal, thereby ensuring the health of the pigs. Abnormal monitoring data will be directly transmitted to the monitoring alarm system and fed back to the farmers.

2. The method for monitoring and early warning of abnormal pigs based on behavioral data according to claim 1 is characterized in that: The monitoring content data of the normal data described in step 1 include: living environment temperature, normal body surface temperature of pigs, normal behavior of pigs, normal eating conditions of pigs, normal breathing rate of pigs, normal feces of pigs and normal urine color of pigs.

3. The method for monitoring and early warning of abnormal pigs based on behavioral data according to claim 1 is characterized in that: In step 2, the optimal temperature of the living environment around the pigs is about 15-23 degrees Celsius, the normal body surface temperature of the pigs is 39 degrees Celsius, the abnormal feces of the pigs include watery and dry feces, and the abnormal color of the pigs' urine is turbid.

4. The method for monitoring and early warning of abnormal pigs based on behavioral data according to claim 1 is characterized in that: The abnormal behaviors of the pigs in step 2 include swaying when walking, lying motionless in the corner, drinking dirty water, gnawing the wall, etc. The skin abnormalities of the pigs include swelling, ulcers, and the appearance of erythema or red spots.

5. A pig abnormality monitoring and early warning system based on behavioral data, characterized in that: Includes the following: Remote monitoring module: used to remotely monitor the living environment temperature, body surface temperature, behavior, eating, breathing rate, skin appearance, feces, and urine color of pigs; Image acquisition camera: used to collect images and videos of pigs’ behavior, eating, breathing rate, skin appearance, feces, and urine color; Data input module: used to input data collected on the pig's body surface temperature, behavior, eating, breathing rate, skin appearance, feces, and urine color; Back-end processing system: used to compare the initial data of pigs with the input data to determine whether the pigs are healthy; Storage module: used to store data on the pig's body surface temperature, behavior, eating, breathing rate, skin appearance, feces, and urine color; Monitoring and alarm system: used to remind farmers whether there are health problems with pigs; Initial data input module: used to input data information before pig monitoring; Chip: The chip is fixed on the pig's ear through a card punch to form a pig number, which is used to obtain the breeding status of each pig.

6. The pig abnormality monitoring and early warning system based on behavioral data according to claim 5 is characterized in that: The remote monitoring module includes the following: Temperature monitoring module, used to monitor the ambient temperature of the pigs, the surface temperature of the pigs and the temperature of the pigs’ ears; Behavior and action monitoring module: used to monitor abnormal behavior and actions of pigs to determine their health status; Feeding monitoring module: used to monitor whether pigs eat quickly, do not eat, or eat frequently; Respiratory rate monitoring module: used to monitor the respiratory rate of pigs; Skin appearance monitoring module: used to monitor the skin health of pigs and determine the health of pigs; Abnormal feces monitoring module: used to monitor the feces health of pigs; Urine color monitoring module: used to monitor whether the urine color of pigs is healthy.

7. The pig abnormality monitoring and early warning system based on behavioral data according to claim 6 is characterized by: The temperature monitoring module includes a first temperature sensor, a first infrared monitor and a second infrared monitor. The first temperature sensor is used to monitor the ambient temperature of the pig, the first infrared monitor is used to monitor the body surface temperature of the pig, and the second infrared monitor is used to monitor the ear root temperature of the pig.

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