CN111122902A - Intelligent monitoring method for abnormal situation of cattle rumination based on wireless network - Google Patents
Intelligent monitoring method for abnormal situation of cattle rumination based on wireless network Download PDFInfo
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- CN111122902A CN111122902A CN202010049183.1A CN202010049183A CN111122902A CN 111122902 A CN111122902 A CN 111122902A CN 202010049183 A CN202010049183 A CN 202010049183A CN 111122902 A CN111122902 A CN 111122902A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P15/00—Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration
- G01P15/02—Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration by making use of inertia forces using solid seismic masses
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H11/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by detecting changes in electric or magnetic properties
- G01H11/06—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by detecting changes in electric or magnetic properties by electric means
Abstract
The invention discloses an intelligent monitoring method for abnormal cattle rumination conditions based on a wireless network, relates to the field of livestock raising, and aims to solve the problems of poor instantaneity, poor intellectualization, time and labor waste, large monitoring error and low data sampling effectiveness of the conventional abnormal cattle rumination conditions. The invention realizes intelligent monitoring of the abnormal rumination condition of the cattle data by utilizing the wireless network and various sensors worn on the cattle body, and has good monitoring effect and strong real-time property.
Description
Technical Field
The present invention relates to the field of livestock husbandry.
Background
Cattle are a standard ruminant. A ruminant. Ruminants are animals that ruminate, and are often herbivores because plant fibers are relatively indigestible. Ruminants generally eat food in a hurry, and particularly coarse feed is swallowed into rumens without being chewed sufficiently, and after the rumens are soaked and softened for a period of time, the food returns to the oral cavity again through retching, and is chewed again, mixed with saliva again and swallowed into the rumens again.
Rumination is the most typical and most main characteristic of ruminants, when rumination is abnormal (such as stopping rumination), although the body of the corresponding ruminant cannot be directly diagnosed to be diseased, the growth of cattle (particularly beef cattle) is mostly affected, and therefore, in the breeding process of cattle, the abnormal rumination condition of the cattle needs to be effectively monitored in time.
At present, the ruminant abnormal condition of the cattle is not divided into the following two modes:
firstly, trans-form monitored by the visual inspection of cultivation personnel;
secondly, shooting feeding and rumination images by adopting a camera, and judging whether the cattle completes rumination or not in an image processing mode;
however, both of these methods have disadvantages, and the first method has disadvantages of poor real-time performance, poor intelligence, and time and labor consumption;
the disadvantages of the second approach are: the monitoring error is large, and the data sampling effectiveness is low.
Disclosure of Invention
The invention aims to solve the problems of poor instantaneity, poor intellectualization, time and labor waste, large monitoring error and low data sampling effectiveness of the conventional cattle rumination abnormal condition, and provides a wireless network-based intelligent monitoring method for the cattle rumination abnormal condition
The intelligent monitoring method for the abnormal situation of the cattle rumination based on the wireless network is realized based on N pieces of wearable intelligent monitoring equipment for the abnormal situation of the cattle rumination, each piece of wearable intelligent monitoring equipment for the abnormal situation of the cattle rumination comprises two elastic nooses named as a noose (1) and a noose (2), two ends of the noose (1) and two ends of the noose (2) are fixed to form an integrated piece, and the integrated piece is used for being sleeved on a cheek of the cattle to be monitored, wherein: the first noose (1) is positioned at the palatal bone of the cow head; the second lasso (2) is positioned at the lower jaw bone of the cow head; each piece of wearable intelligent monitoring equipment for abnormal rumination conditions further comprises a first three-axis inclination angle sensor (18), a first three-axis acceleration sensor (12), a first vibration sensor (13), a first controller (14) and a first wireless signal communication receiving and transmitting terminal (15), wherein the first three-axis inclination angle sensor (18), the first three-axis acceleration sensor (12) and the first vibration sensor (13) are all fixed on the first noose (1);
the first three-axis tilt angle sensor (18) is used for detecting real-time three-axis tilt angle data of the upper jaw bone of the cow; the triaxial inclination angle data output end of the first triaxial inclination angle sensor (18) is connected with the triaxial inclination angle data input end of the first controller (14);
the first three-axis acceleration sensor (12) is used for detecting real-time three-axis acceleration data of a jaw bone on a cow head; the triaxial acceleration data output end of the first triaxial acceleration sensor (12) is connected with the triaxial acceleration data input end of the first controller (14);
the first vibration sensor (13) is used for detecting real-time vibration data of the first lasso (1); the vibration data output end of the first vibration sensor (13) is connected with the vibration data input end of the first controller (14);
the first controller (14) is accessed to the Internet through a first wireless signal communication receiving and transmitting terminal (15);
each piece of wearable intelligent monitoring equipment for abnormal rumination conditions further comprises a second three-axis inclination angle sensor (28), a second three-axis acceleration sensor (22), a second vibration sensor (23), a second controller (24) and a second wireless signal communication receiving and transmitting terminal (25), wherein the second three-axis inclination angle sensor (28), the second three-axis acceleration sensor (22) and the second vibration sensor (23) are all fixed on the second lasso (2);
the second three-axis inclination angle sensor (28) is used for detecting real-time three-axis inclination angle data of the lower jaw bone of the cow; the triaxial inclination angle data output end of the second triaxial inclination angle sensor (28) is connected with the triaxial inclination angle data input end of the second controller (24);
the second triaxial acceleration sensor (22) is used for detecting real-time triaxial acceleration data at the lower jaw bone of the cow; the triaxial acceleration data output end of the second triaxial acceleration sensor (22) is connected with the triaxial acceleration data input end of the second controller (24);
the second vibration sensor (23) is used for detecting real-time vibration data of the second lasso (2); the vibration data output end of the second vibration sensor (23) is connected with the vibration data input end of the second controller (24);
the second controller (24) is accessed to the Internet through a second wireless signal communication transceiving terminal (25);
each controller forms a wireless local area network;
is characterized in that: the intelligent cattle rumination abnormal condition monitoring method based on the wireless network comprises the following steps:
step one, a monitoring server is adopted to access the wireless local area network; after the access, the monitoring server can perform data interaction with the first controller (14) and the first controller (14) in a wireless network;
step two, collecting a group of three-axis inclination angle data of the upper jaw bone of the cattle in normal rumination, three-axis acceleration data of the upper jaw bone in normal rumination, vibration data of the first noose (1) in normal rumination, three-axis inclination angle data of the upper jaw bone in normal rumination, three-axis acceleration data of the lower jaw bone in normal rumination and vibration data of the first noose (1) in normal rumination, and uploading the three-axis inclination angle data and the three-axis acceleration data to a monitoring server through each controller and a wireless local area network;
step three, collecting triaxial inclination angle data of a lower jaw bone of a group of cattle in normal rumination, triaxial acceleration data of the lower jaw bone in normal rumination, vibration data of a noose (1) in normal rumination, triaxial inclination angle data of an upper jaw bone in normal rumination, triaxial acceleration data of the lower jaw bone in normal rumination and vibration data of a noose (2) in normal rumination, and uploading the three data to a monitoring server through each controller and a wireless local area network;
step four, the monitoring server classifies and summarizes the uploaded data, averages the data after the data are summarized respectively, and uses the data as standard parameters of the upper jaw bone and the upper jaw bone when the cattle ruminate normally and standard vibration quantity of the first lasso (2) and the second lasso (2) when the cattle ruminate normally;
step four, collecting the three-axis inclination angle data of the upper jaw bone when the current cow rumates, the three-axis acceleration data of the upper jaw bone when the cow rumates, the vibration data of the first noose (1) when the cow rumates, the three-axis inclination angle data of the lower jaw bone when the cow rumates, the three-axis acceleration data of the lower jaw bone when the cow rumates, and the vibration data of the second noose (2) when the cow rumates in real time, and uploading the data to a monitoring server through each controller and a wireless local area network;
step five, the monitoring server classifies and summarizes the uploaded data, the data are compared with the standard parameters after being summarized, if the error of the data is larger than a preset threshold value, if the judgment result is yes, the data are judged to be abnormal for rumination, the step six is executed, if the judgment result is no, the data are judged to be normal for rumination, and one-time rumination monitoring is finished;
and step six, the monitoring server prompts the feeding personnel to check the site through the Internet, and the process is finished.
The invention has the following beneficial effects and remarkable progress: the invention realizes intelligent monitoring of the abnormal rumination condition of the cattle data by utilizing the wireless network and various sensors worn on the cattle body, and has good monitoring effect and strong real-time property.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention.
Fig. 2 is a schematic diagram of the system of the present invention.
Detailed Description
The specific embodiment mode I is a cattle rumination abnormal condition intelligent monitoring method based on a wireless network, and the method is realized based on N wearable type intelligent monitoring devices for rumination abnormal conditions, each wearable type intelligent monitoring device for rumination abnormal conditions comprises two elastic nooses named as a first noose (1) and a second noose (2), two ends of the first noose (1) and two ends of the second noose (2) are fixed to form an integrated piece, and the integrated piece is used for being sleeved on a cheek of a cattle to be monitored, wherein: the first noose (1) is positioned at the palatal bone of the cow head; the second lasso (2) is positioned at the lower jaw bone of the cow head; each piece of wearable intelligent monitoring equipment for abnormal rumination conditions further comprises a first three-axis inclination angle sensor (18), a first three-axis acceleration sensor (12), a first vibration sensor (13), a first controller (14) and a first wireless signal communication receiving and transmitting terminal (15), wherein the first three-axis inclination angle sensor (18), the first three-axis acceleration sensor (12) and the first vibration sensor (13) are all fixed on the first noose (1);
the first three-axis tilt angle sensor (18) is used for detecting real-time three-axis tilt angle data of the upper jaw bone of the cow; the triaxial inclination angle data output end of the first triaxial inclination angle sensor (18) is connected with the triaxial inclination angle data input end of the first controller (14);
the first three-axis acceleration sensor (12) is used for detecting real-time three-axis acceleration data of a jaw bone on a cow head; the triaxial acceleration data output end of the first triaxial acceleration sensor (12) is connected with the triaxial acceleration data input end of the first controller (14);
the first vibration sensor (13) is used for detecting real-time vibration data of the first lasso (1); the vibration data output end of the first vibration sensor (13) is connected with the vibration data input end of the first controller (14);
the first controller (14) is accessed to the Internet through a first wireless signal communication receiving and transmitting terminal (15);
each piece of wearable intelligent monitoring equipment for abnormal rumination conditions further comprises a second three-axis inclination angle sensor (28), a second three-axis acceleration sensor (22), a second vibration sensor (23), a second controller (24) and a second wireless signal communication receiving and transmitting terminal (25), wherein the second three-axis inclination angle sensor (28), the second three-axis acceleration sensor (22) and the second vibration sensor (23) are all fixed on the second lasso (2);
the second three-axis inclination angle sensor (28) is used for detecting real-time three-axis inclination angle data of the lower jaw bone of the cow; the triaxial inclination angle data output end of the second triaxial inclination angle sensor (28) is connected with the triaxial inclination angle data input end of the second controller (24);
the second triaxial acceleration sensor (22) is used for detecting real-time triaxial acceleration data at the lower jaw bone of the cow; the triaxial acceleration data output end of the second triaxial acceleration sensor (22) is connected with the triaxial acceleration data input end of the second controller (24);
the second vibration sensor (23) is used for detecting real-time vibration data of the second lasso (2); the vibration data output end of the second vibration sensor (23) is connected with the vibration data input end of the second controller (24);
the second controller (24) is accessed to the Internet through a second wireless signal communication transceiving terminal (25);
each controller forms a wireless local area network;
is characterized in that: the intelligent cattle rumination abnormal condition monitoring method based on the wireless network comprises the following steps:
step one, a monitoring server is adopted to access the wireless local area network; after the access, the monitoring server can perform data interaction with the first controller (14) and the first controller (14) in a wireless network;
step two, collecting a group of three-axis inclination angle data of the upper jaw bone of the cattle in normal rumination, three-axis acceleration data of the upper jaw bone in normal rumination, vibration data of the first noose (1) in normal rumination, three-axis inclination angle data of the upper jaw bone in normal rumination, three-axis acceleration data of the lower jaw bone in normal rumination and vibration data of the first noose (1) in normal rumination, and uploading the three-axis inclination angle data and the three-axis acceleration data to a monitoring server through each controller and a wireless local area network;
step three, collecting triaxial inclination angle data of a lower jaw bone of a group of cattle in normal rumination, triaxial acceleration data of the lower jaw bone in normal rumination, vibration data of a noose (1) in normal rumination, triaxial inclination angle data of an upper jaw bone in normal rumination, triaxial acceleration data of the lower jaw bone in normal rumination and vibration data of a noose (2) in normal rumination, and uploading the three data to a monitoring server through each controller and a wireless local area network;
step four, the monitoring server classifies and summarizes the uploaded data, averages the data after the data are summarized respectively, and uses the data as standard parameters of the upper jaw bone and the upper jaw bone when the cattle ruminate normally and standard vibration quantity of the first lasso (2) and the second lasso (2) when the cattle ruminate normally;
step four, collecting the three-axis inclination angle data of the upper jaw bone when the current cow rumates, the three-axis acceleration data of the upper jaw bone when the cow rumates, the vibration data of the first noose (1) when the cow rumates, the three-axis inclination angle data of the lower jaw bone when the cow rumates, the three-axis acceleration data of the lower jaw bone when the cow rumates, and the vibration data of the second noose (2) when the cow rumates in real time, and uploading the data to a monitoring server through each controller and a wireless local area network;
step five, the monitoring server classifies and summarizes the uploaded data, the data are compared with the standard parameters after being summarized, if the error of the data is larger than a preset threshold value, if the judgment result is yes, the data are judged to be abnormal for rumination, the step six is executed, if the judgment result is no, the data are judged to be normal for rumination, and one-time rumination monitoring is finished;
and step six, the monitoring server prompts the feeding personnel to check the site through the Internet, and the process is finished.
The basic principle of the invention is as follows: and comparing various sensor data acquired in real time with standard data to judge whether the abnormality occurs. Are well understood and implemented by those skilled in the art.
The invention has the following beneficial effects and remarkable progress: the invention realizes intelligent monitoring of the abnormal rumination condition of the cattle data by utilizing the wireless network and various sensors worn on the cattle body, and has good monitoring effect and strong real-time property.
Claims (1)
1. The utility model provides a cattle ruminating abnormal condition intelligent monitoring method based on wireless network, it is based on N wearing formula ruminating abnormal condition intelligent monitoring equipment and realizes, every wearing formula ruminating abnormal condition intelligent monitoring equipment all includes two elastic nooses, denominates as noose (1) and No. two nooses (2), the both ends of No. one noose (1) are fixed with the both ends of No. two nooses (2) respectively and are formed an organic piece, this organic piece is used for the cover in the cheek department of waiting to monitor the cattle, wherein: the first noose (1) is positioned at the palatal bone of the cow head; the second lasso (2) is positioned at the lower jaw bone of the cow head; each piece of wearable intelligent monitoring equipment for abnormal rumination conditions further comprises a first three-axis inclination angle sensor (18), a first three-axis acceleration sensor (12), a first vibration sensor (13), a first controller (14) and a first wireless signal communication receiving and transmitting terminal (15), wherein the first three-axis inclination angle sensor (18), the first three-axis acceleration sensor (12) and the first vibration sensor (13) are all fixed on the first noose (1);
the first three-axis tilt angle sensor (18) is used for detecting real-time three-axis tilt angle data of the upper jaw bone of the cow; the triaxial inclination angle data output end of the first triaxial inclination angle sensor (11) is connected with the triaxial inclination angle data input end of the first controller (14);
the first three-axis acceleration sensor (12) is used for detecting real-time three-axis acceleration data of a jaw bone on a cow head; the triaxial acceleration data output end of the first triaxial acceleration sensor (12) is connected with the triaxial acceleration data input end of the first controller (14);
the first vibration sensor (13) is used for detecting real-time vibration data of the first lasso (1); the vibration data output end of the first vibration sensor (13) is connected with the vibration data input end of the first controller (14);
the first controller (14) is accessed to the Internet through a first wireless signal communication receiving and transmitting terminal (15);
each piece of wearable intelligent monitoring equipment for abnormal rumination conditions further comprises a second three-axis inclination angle sensor (28), a second three-axis acceleration sensor (22), a second vibration sensor (23), a second controller (24) and a second wireless signal communication receiving and transmitting terminal (25), wherein the second three-axis inclination angle sensor (28), the second three-axis acceleration sensor (22) and the second vibration sensor (23) are all fixed on the second lasso (2);
the second three-axis inclination angle sensor (21) is used for detecting real-time three-axis inclination angle data of the lower jaw bone of the cow; the triaxial inclination angle data output end of the second triaxial inclination angle sensor (28) is connected with the triaxial inclination angle data input end of the second controller (24);
the second triaxial acceleration sensor (22) is used for detecting real-time triaxial acceleration data at the lower jaw bone of the cow; the triaxial acceleration data output end of the second triaxial acceleration sensor (22) is connected with the triaxial acceleration data input end of the second controller (24);
the second vibration sensor (23) is used for detecting real-time vibration data of the second lasso (2); the vibration data output end of the second vibration sensor (23) is connected with the vibration data input end of the second controller (24);
the second controller (24) is accessed to the Internet through a second wireless signal communication transceiving terminal (25);
each controller forms a wireless local area network;
is characterized in that: the intelligent cattle rumination abnormal condition monitoring method based on the wireless network comprises the following steps:
step one, a monitoring server is adopted to access the wireless local area network; after the access, the monitoring server can perform data interaction with the first controller (14) and the first controller (14) in a wireless network;
step two, collecting a group of three-axis inclination angle data of the upper jaw bone of the cattle in normal rumination, three-axis acceleration data of the upper jaw bone in normal rumination, vibration data of the first noose (1) in normal rumination, three-axis inclination angle data of the upper jaw bone in normal rumination, three-axis acceleration data of the lower jaw bone in normal rumination and vibration data of the first noose (1) in normal rumination, and uploading the three-axis inclination angle data and the three-axis acceleration data to a monitoring server through each controller and a wireless local area network;
step three, collecting triaxial inclination angle data of a lower jaw bone of a group of cattle in normal rumination, triaxial acceleration data of the lower jaw bone in normal rumination, vibration data of a noose (1) in normal rumination, triaxial inclination angle data of an upper jaw bone in normal rumination, triaxial acceleration data of the lower jaw bone in normal rumination and vibration data of a noose (2) in normal rumination, and uploading the three data to a monitoring server through each controller and a wireless local area network;
step four, the monitoring server classifies and summarizes the uploaded data, averages the data after the data are summarized respectively, and uses the data as standard parameters of the upper jaw bone and the upper jaw bone when the cattle ruminate normally and standard vibration quantity of the first lasso (2) and the second lasso (2) when the cattle ruminate normally;
step four, collecting the three-axis inclination angle data of the upper jaw bone when the current cow rumates, the three-axis acceleration data of the upper jaw bone when the cow rumates, the vibration data of the first noose (1) when the cow rumates, the three-axis inclination angle data of the lower jaw bone when the cow rumates, the three-axis acceleration data of the lower jaw bone when the cow rumates, and the vibration data of the second noose (2) when the cow rumates in real time, and uploading the data to a monitoring server through each controller and a wireless local area network;
step five, the monitoring server classifies and summarizes the uploaded data, the data are compared with the standard parameters after being summarized, if the error of the data is larger than a preset threshold value, if the judgment result is yes, the data are judged to be abnormal for rumination, the step six is executed, if the judgment result is no, the data are judged to be normal for rumination, and one-time rumination monitoring is finished;
and step six, the monitoring server prompts the feeding personnel to check the site through the Internet, and the process is finished.
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