CN106713869B - Cloud intelligent pasture wireless monitoring and tracking method, device and system - Google Patents

Abstract

The invention belongs to the field of Internet technology, and provides a wireless monitoring and tracking method, device and system for a cloud intelligent pasture. The method includes: acquiring the light intensity value of the pasture, the first frame of image information and the second frame of image information, and if the light intensity value is less than or equal to a light threshold, outputting a stop monitoring instruction to identify the livestock to be tracked in the first frame of image information. Feature points, form sample feature points, estimate the position of the livestock to be tracked in the second frame, obtain the estimated position, determine the second position information and second motion speed of the livestock to be tracked, if the second motion speed is equal to zero, record and check and the number of inspections is greater than the set threshold, the animals to be tracked are classified as abnormal individuals. The wireless monitoring and tracking method, device and system of the cloud intelligent pasture of the present invention can improve the accuracy of remote monitoring, reduce power consumption, and have high reliability.

Description

Cloud intelligent pasture wireless monitoring and tracking method, device and system

technical field

The invention relates to the field of Internet technologies, and in particular to a wireless monitoring and tracking method, device and system for cloud intelligent pastures.

Background technique

On the grasslands, herdsmen live scattered, and mostly live on animal husbandry, and most of them are nomadic free-range. The pasture is wide, but the manpower is insufficient. During the breeding process, cattle and sheep are often lost or mixed. In winter, the cubs may even freeze to death, which brings huge losses to the herdsmen and increases the manpower burden. Although there are some monitoring devices on the market, the existing monitoring devices have poor long-distance monitoring functions, large power consumption, and cumbersome device maintenance process, which brings troubles to users. At the same time, the existing monitoring equipment cannot fully utilize the solar energy resources on the pasture.

How to improve the accuracy of remote monitoring, reduce power consumption, and improve reliability is an urgent problem to be solved by those skilled in the art.

SUMMARY OF THE INVENTION

In view of the defects in the prior art, the present invention provides a wireless monitoring and tracking method, device and system for a cloud intelligent pasture, which can improve the accuracy of remote monitoring, reduce power consumption, and have high reliability.

In a first aspect, the present invention provides a wireless monitoring and tracking method for a cloud intelligent pasture, the method comprising:

Obtain feature point information of livestock and scene information of pasture;

Based on feature points and scene information, determine the location of livestock in the pasture.

The present invention provides another wireless monitoring and tracking method for cloud intelligent pastures, the method comprising:

The information acquisition step: acquiring the light intensity value of the pasture, the first frame of image information and the second frame of image information, and the first frame of image information is adjacent to the second frame of image information;

Light intensity processing step: compare the light intensity value with the light threshold value, and if the light intensity value is less than or equal to the light threshold value, output a stop monitoring instruction;

Image information processing step: preprocessing the first frame of image information and the second frame of image information;

Identify the feature points of the livestock to be tracked in the first frame of image information to form sample feature points;

Determine the first position information of the livestock to be tracked according to the first frame of image information;

According to the pre-obtained first motion speed and first position information of the livestock to be tracked in the first frame, estimate the position of the livestock to be tracked in the second frame, and obtain the estimated position;

Compare the estimated position with the image information of the second frame to obtain the area to be identified;

According to the sample feature points, identify the target feature points of the livestock to be tracked in the to-be-identified area, and update them to the sample feature points;

determining the second position information of the livestock to be tracked according to the second frame of image information;

determining the second movement speed of the livestock to be tracked in the second frame according to the first position information and the second position information;

Abnormal individual identification step: check the second movement speed, if the second movement speed is equal to zero, record the number of inspections and compare with the set threshold. If the number of inspections is greater than the set threshold, the animal to be tracked is classified as an abnormal individual.

Further, after classifying the livestock to be tracked as abnormal individuals, the method further includes:

Set abnormal individuals to a specific color and generate alarm prompt information.

Further, identifying the feature points of the livestock to be tracked in the first frame of image information to form sample feature points, specifically including:

Identify the position range of the livestock to be tracked in the first frame of image information according to the outline of the livestock to be tracked;

According to the local feature points of the livestock to be tracked, the feature points of the livestock to be tracked within the location range are obtained, and the sample feature points are formed.

Based on the above-mentioned embodiment of the wireless monitoring and tracking method for any cloud intelligent pasture, further, after determining the second movement speed of the livestock to be tracked in the second frame, the method further includes:

The second movement speed is checked, and if the second movement speed is greater than zero, the number of checks is set as the initial state.

In a second aspect, the present invention provides a wireless monitoring and tracking device for cloud intelligent pastures. The device includes an information acquisition module, a light intensity processing module, an image information processing module, and an abnormal individual identification module. The information acquisition module is used to obtain the light intensity value of the pasture. , the first frame of image information and the second frame of image information, the first frame of image information is adjacent to the second frame of image information; the illumination intensity processing module is used to compare the illumination intensity value with the illumination threshold value, if the illumination intensity value is less than or equal to the illumination threshold value , then output the stop monitoring instruction; the image information processing module is used to preprocess the first frame of image information and the second frame of image information; identify the feature points of the livestock to be tracked in the first frame of image information to form sample feature points; frame image information to determine the first position information of the livestock to be tracked; according to the pre-acquisition of the first motion speed and first position information of the livestock to be tracked in the first frame, estimate the position of the livestock to be tracked in the second frame, and obtain Estimate the position; compare the estimated position with the image information of the second frame to obtain the area to be identified; identify the target feature points of the livestock to be tracked in the area to be identified according to the sample feature points, and update them to the sample feature points; according to the second frame The image information determines the second position information of the livestock to be tracked; according to the first position information and the second position information, the second movement speed of the livestock to be tracked in the second frame is determined; the abnormal individual identification module is used to check the second movement speed , if the second movement speed is equal to zero, the number of inspections is recorded and compared with the set threshold. If the number of inspections is greater than the set threshold, the livestock to be tracked is classified as an abnormal individual.

Further, the wireless monitoring and tracking device for the cloud smart ranch in this embodiment further includes an abnormality reminder module: used to set the abnormal individual to a specific color, and generate alarm prompt information.

Further, when the image information processing module identifies the feature points of the livestock to be tracked in the first frame of image information and forms the sample feature points, it is specifically used to: identify the livestock to be tracked in the first frame of image information according to the outline of the livestock to be tracked. According to the local feature points of the livestock to be tracked, the feature points of the livestock to be tracked within the position range are obtained, and the sample feature points are formed.

In a third aspect, the present invention provides a wireless monitoring and tracking system for cloud intelligent pastures. The system includes a remote control terminal and a plurality of cloud intelligent remote pasture monitoring subsystems distributed in the pasture. The cloud intelligent remote pasture monitoring subsystem includes monitoring poles, A plurality of gun posts, panoramic cameras, solar crystal panels, photoelectric equipment and batteries, the monitoring poles are vertically arranged on the pasture, one end of each gun column is fixed to the pasture, and the other end is fixed to the monitoring pole, and is in a predetermined relationship with the monitoring pole. Included angle, the panoramic camera is located at the top of the monitoring pole, the solar crystal panel is fixed to the gun post, the optoelectronic equipment is fixed to the monitoring pole, the battery is located below the ground surface of the pasture, and within the specified range at the bottom of the monitoring pole, the panoramic camera And the photoelectric equipment is wirelessly connected to the remote control terminal. The solar crystal panel, the photoelectric equipment and the battery are connected in turn. The battery is also connected to the panoramic camera. The panoramic camera is used to collect the image information of the pasture and transmit it to the remote control terminal. The light intensity value is collected and sent to the remote control terminal, and when the light intensity value is lower than the light threshold value, it will automatically switch to the power-off state, and it is also used to monitor the voltage value of the battery. When the voltage value is lower than the first voltage threshold value, The electric energy of the solar crystal panel is transmitted to the battery. When the voltage value is higher than the second voltage threshold, the transmission of electric energy is stopped. The battery is used to supply power for the optoelectronic equipment and the panoramic camera; the remote control terminal is used to adopt the wireless monitoring and tracking method of cloud intelligent pasture. , output the position of the livestock to be tracked in the pasture in real time, and determine whether there are abnormal individuals in the livestock to be tracked.

Further, the cloud intelligent remote pasture monitoring subsystem also includes a fence, the fence is vertically fixed on the pasture, the fence includes a plurality of protection fences, and the protection fences are connected in sequence, and the center of the fence is a monitoring pole.

It can be seen from the above technical solutions that the wireless monitoring and tracking method, device and system for cloud smart pastures provided by this embodiment determine whether to monitor according to the light intensity value, so as to prevent the quality of image information from being too low to identify the livestock to be tracked, and meet the requirements of the herdsmen. Application requirements, help save energy and reduce power consumption. Moreover, the method can process the image information, output the position information of the livestock to be tracked in real time, and the result is accurate and reliable, which is convenient for the herdsman to view, saves manpower, effectively prevents the loss or mixing of the livestock, and the herdsman can timely find that the position information remains unchanged for a long time. of abnormal individuals, reducing the mortality of pups in harsh environments.

Therefore, the wireless monitoring and tracking method, device and system for a cloud smart ranch in the present embodiment can improve the accuracy of remote monitoring, reduce power consumption, and have high reliability.

Description of drawings

In order to illustrate the specific embodiments of the present invention or the technical solutions in the prior art more clearly, the following briefly introduces the accompanying drawings that are required to be used in the description of the specific embodiments or the prior art. Similar elements or parts are generally identified by similar reference numerals throughout the drawings. In the drawings, each element or section is not necessarily drawn to actual scale.

Fig. 1 shows a flow chart of a wireless monitoring and tracking method for a cloud intelligent pasture provided by the present invention;

Fig. 2 shows the structural block diagram of a wireless monitoring and tracking device for cloud intelligent ranch provided by the present invention;

3 shows a schematic structural diagram of a wireless monitoring and tracking system for cloud intelligent pastures provided by the present invention;

FIG. 4 shows a schematic structural diagram of a cloud intelligent remote pasture monitoring subsystem provided by the present invention.

Detailed ways

Embodiments of the technical solutions of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only used to illustrate the technical solutions of the present invention more clearly, and are therefore only used as examples, and cannot be used to limit the protection scope of the present invention.

It should be noted that, unless otherwise specified, the technical or scientific terms used in this application should have the usual meanings understood by those skilled in the art to which the present invention belongs.

In a first aspect, an embodiment of the present invention provides a wireless monitoring and tracking method for a cloud intelligent pasture. The method includes: acquiring feature point information of livestock and scene information of the pasture; Location.

An embodiment of the present invention provides another wireless monitoring and tracking method for cloud intelligent pastures. With reference to FIG. 1 , the method includes:

Information acquisition step S1: acquiring the light intensity value of the pasture, the first frame of image information and the second frame of image information, where the first frame of image information is adjacent to the second frame of image information.

Light intensity processing step S2: Compare the light intensity value with the light threshold value: if the light intensity value is less than or equal to the light threshold value, output a stop monitoring instruction. It is difficult to process, and it is difficult to quickly and accurately extract the livestock to be tracked. Subsequently, the image information at this time will be filtered out and will not be processed.

Image information processing step S3: preprocessing the first frame of image information and the second frame of image information. For example, to grayscale image information, use median filter algorithm to remove outlier noise in image information, and can maintain the characteristics of image edges, and use Wiener filter algorithm to remove multiplicative noise in image information.

Identify the feature points of the livestock to be tracked in the first frame of image information to form sample feature points.

According to the first frame of image information, the first position information of the livestock to be tracked is determined, that is, the relative position coordinates of the livestock to be tracked relative to the reference environment.

According to the pre-obtained first motion speed and first position information of the livestock to be tracked in the first frame, the position of the livestock to be tracked in the second frame is estimated, and the estimated position is obtained. Here, the estimated position is the first position as Center, estimated as a sector of the radius. The estimated value may be a value determined according to the first movement speed value, and the sector angle is an angle determined according to the first movement speed direction and the variable angle range.

The estimated position is compared with the image information of the second frame to obtain the area to be identified.

According to the sample feature points, the target feature points of the livestock to be tracked in the to-be-identified area are identified, and updated to the sample feature points.

According to the second frame of image information, the second position information of the livestock to be tracked is determined.

According to the first position information and the second position information, the second movement speed of the livestock to be tracked in the second frame is determined. Here, the distance value is determined according to the first position information and the second position information, and the distance value is determined according to the two frames of image information. time interval, the second movement speed can be determined.

Abnormal individual identification step S4: check the second movement speed, if the second movement speed is equal to zero, record the number of inspections, and compare with the set threshold, if the number of inspections is greater than the set threshold, classify the livestock to be tracked as an abnormal individual, That is, if the position information of a livestock to be tracked does not change, and after a certain period of time, it is determined that the livestock to be tracked is abnormal, so as to remind the herdsmen to check it in time. time interval to determine the time.

It can be seen from the above technical solutions that the wireless monitoring and tracking method for cloud intelligent pastures provided by this embodiment determines whether to monitor by the light intensity value, so as to prevent the quality of image information from being too low to identify the livestock to be tracked, and meets the application requirements of herdsmen. Helps save energy and reduce power consumption. Moreover, the method can process the image information, output the position information of the livestock to be tracked in real time, and the result is accurate and reliable, which is convenient for the herdsman to view, saves manpower, effectively prevents the loss or mixing of the livestock, and the herdsman can timely find that the position information remains unchanged for a long time. of abnormal individuals, reducing the mortality of pups in harsh environments.

Therefore, the wireless monitoring and tracking method for a cloud smart ranch in this embodiment can improve the accuracy of remote monitoring, reduce power consumption, and have high reliability.

In order to facilitate the use of herdsmen, specifically, after the livestock to be tracked are classified as abnormal individuals, the wireless monitoring and tracking method for the cloud intelligent pasture in this embodiment further includes: setting the abnormal individual to a specific color, and generating alarm prompt information to prompt the herdsmen It can be checked and processed in time. At the same time, the use of specific colors is convenient for herders to search for abnormal individuals in the scene information intuitively and quickly, which helps to improve the user experience.

In order to further provide the accuracy of the wireless monitoring and tracking method for the cloud intelligent pasture in this embodiment, specifically, when forming the sample feature points, the implementation process of the method is as follows:

According to the outline of the livestock to be tracked, the position range of the livestock to be tracked in the first frame of image information is identified. According to the local feature points of the livestock to be tracked, the feature points of the livestock to be tracked within the location range are obtained, and the sample feature points are formed. Here, the method can preliminarily determine the position range of the livestock to be tracked according to the contour of the livestock to be tracked, and then form the sample feature points according to the local feature points, which helps to improve the data processing efficiency and can ensure the accuracy of the sample feature points.

Among them, when identifying according to the outline or local feature points of the livestock to be tracked, the processing process adopted by the method is as follows:

According to the contour image of the livestock to be tracked, the centroid of the contour image is calculated. Rotate the contour image around the centroid, obtain the moment of inertia of the contour image, and perform normalization processing.

According to the local feature points of the livestock to be tracked, the centroid of the local feature points is calculated. And perform the rotation operation to obtain the moment of inertia of the local feature point, and perform normalization processing. Here, the normalized contour moment of inertia and feature point moment of inertia have good scaling, rotation and translation invariance, which helps to improve the recognition efficiency.

The same process is used for local feature points. According to the contour moment of inertia after the normalization process, the contour of the livestock to be tracked in the first frame of image information is identified, and the position range is determined. According to the moment of inertia of the feature points after the normalization process, the feature points of the livestock to be tracked in the position range are identified to form the sample feature points. Here, the method uses the normalized contour moment of inertia and feature point moment of inertia to identify, with high accuracy and small amount of calculation.

At the same time, after determining the second movement speed of the livestock to be tracked in the second frame, the wireless monitoring and tracking method for the cloud smart pasture in this embodiment further includes: checking the second movement speed, and if the second movement speed is greater than zero, setting the number of inspections It is the initial state, that is, the byte that sets the number of detections is zero, so as to record the state of the livestock to be tracked and prevent the program from recording errors.

In a second aspect, an embodiment of the present invention provides a wireless monitoring and tracking device for cloud smart pastures. With reference to FIG. 2 , the device includes an information acquisition module 1, a light intensity processing module 2, an image information processing module 3, and an abnormal individual identification module 4. Information The acquisition module 1 is used to acquire the light intensity value, the first frame image information and the second frame image information of the pasture, and the first frame image information is adjacent to the second frame image information; the light intensity processing module 2 is used to compare the light intensity value with the second frame image information. Illumination threshold comparison, if the illumination intensity value is less than or equal to the illumination threshold, output a stop monitoring instruction; the image information processing module 3 is used to preprocess the first frame image information and the second frame image information; identify the livestock to be tracked in the first frame image The feature points of the information form sample feature points; according to the first frame of image information, determine the first position information of the livestock to be tracked; Track the position of the livestock in the second frame to estimate the estimated position; compare the estimated position with the image information of the second frame to obtain the area to be identified; identify the target features of the livestock to be tracked in the area to be identified according to the sample feature points point, and update it to the sample feature point; according to the second frame image information, determine the second position information of the livestock to be tracked; according to the first position information and the second position information, determine the second movement of the livestock to be tracked in the second frame Speed; the abnormal individual identification module 4 is used to check the second movement speed. If the second movement speed is equal to zero, the number of inspections will be recorded and compared with the set threshold. If the number of inspections is greater than the set threshold, the livestock to be tracked will be classified as abnormal individual.

It can be seen from the above technical solutions that the wireless monitoring and tracking device for cloud intelligent pastures provided in this embodiment determines whether to monitor according to the light intensity value, so as to prevent the quality of image information from being too low to identify the livestock to be tracked, and meets the application requirements of herdsmen. Helps save energy and reduce power consumption. In addition, the device can process image information and output the position information of the livestock to be tracked in real time. The results are accurate and reliable, which is convenient for herders to view, saves manpower, effectively prevents livestock from being lost or mixed together, and herdsmen can timely find that the position information remains unchanged for a long time. of abnormal individuals, reducing the mortality of pups in harsh environments.

Therefore, the wireless monitoring and tracking device for the cloud smart ranch in this embodiment can improve the accuracy of remote monitoring, reduce power consumption, and have high reliability.

Specifically, the cloud intelligent pasture wireless monitoring and tracking device in this embodiment also includes an abnormality reminder module: used to set abnormal individuals to a specific color and generate alarm prompt information to prompt herders to check and deal with them in time. At the same time, a specific color is used. , so that herdsmen can intuitively and quickly search for abnormal individuals in the scene information, which helps to improve the user experience.

Specifically, when the image information processing module 3 identifies the feature points of the livestock to be tracked in the first frame of image information and forms the sample feature points, it is specifically used to: identify the livestock to be tracked in the first frame of image according to the outline of the livestock to be tracked The position range in the information; according to the local feature points of the livestock to be tracked, the feature points of the livestock to be tracked within the position range are obtained, and the sample feature points are formed. Here, the image information processing module 3 can preliminarily determine the position range of the livestock to be tracked according to the outline of the livestock to be tracked, and then form the sample feature points according to the local feature points, which helps to improve the data processing efficiency and can ensure the sample feature points. accuracy.

In a third aspect, an embodiment of the present invention provides a wireless monitoring and tracking system for cloud intelligent pastures. With reference to FIG. 3 or FIG. 4 , the system includes a remote control terminal 31 and a plurality of cloud intelligent remote pasture monitoring subsystems 32 distributed in the pasture. In practical application, the cloud intelligent remote pasture monitoring subsystem 32 is mostly arranged on the soil slope in the pasture, which is helpful for collecting image information of different areas of the pasture.

The cloud intelligent remote pasture monitoring subsystem 32 includes a monitoring pole 321 , a plurality of gun posts 322 , a panoramic camera 323 , a solar crystal panel 324 , an optoelectronic device 325 and a battery 326 . The monitoring pole 321 is vertically arranged on the pasture. One end of each gun post 322 is fixed to the pasture, and the other end is fixed to the monitoring pole 321 and forms a predetermined angle with the monitoring pole 321 . Generally, three gun posts 322 are set, which have strong stability and are firm and reliable. The panoramic camera 323 is located at the top of the monitoring pole 321 , the solar crystal panel 324 is fixed on the gun post 322 , and the optoelectronic device 325 is fixed on the monitoring pole 321 . The optoelectronic device 325 can monitor the voltage value and current value of the battery 326 in real time, and display it on the display screen of the optoelectronic device 325 for the convenience of the user.

The storage battery 326 is located below the ground surface of the pasture, and within the designated range of the bottom of the monitoring pole 321, for example, in the range of 25-30 cm near the monitoring pole 321, buried in the underground of the pasture in the range of 20-30 cm, In order to ensure that the battery 326 has a relatively stable operating temperature environment, to prevent the battery 326 from bursting due to the temperature being too low or too high, it is helpful to prolong the service life of the battery 326 .

The panoramic camera 323 and the photoelectric device 325 are wirelessly connected to the remote control terminal 31 , the solar crystal panel 324 , the photoelectric device 325 and the battery 326 are connected in sequence, and the battery 326 is also connected to the panoramic camera 323 . The panoramic camera 323 is used to collect the image information of the pasture and transmit it to the remote control terminal 31, the photoelectric device 325 is used to collect the light intensity value and transmit it to the remote control terminal 31, and when the light intensity value is lower than the light threshold value, it will automatically switch It is also used to monitor the voltage value of the battery 326 when the voltage value is lower than the first voltage threshold, and transmit the power of the solar crystal panel 324 to the battery 326 when the voltage value is higher than the second voltage threshold. Stop transmitting electric energy, the battery 326 is used to supply power to the photoelectric device 325 and the panoramic camera 323, and outputs 12 volts of direct current; the remote control terminal 31 is used to adopt the wireless monitoring and tracking method of the cloud intelligent pasture, output the position of the livestock to be tracked in the pasture in real time, and judge Whether there are abnormal individuals in the livestock to be tracked.

It can be seen from the above technical solutions that the cloud intelligent pasture wireless monitoring and tracking system provided in this embodiment collects the light intensity value in real time through the photoelectric device 325, so that the remote control terminal 31 can determine whether to perform monitoring, and prevent the image information quality from being too low to fail. Identifying livestock to be tracked and meeting the application needs of herdsmen can help save energy and reduce power consumption. In addition, the system collects image information through the panoramic camera 323, processes the image information with the remote control terminal 31, and outputs the position information of the livestock to be tracked in real time. The result is accurate and reliable, which is convenient for herders to view, saves manpower, and effectively prevents livestock from being lost or mixed. , and herdsmen can timely detect abnormal individuals whose location information remains unchanged for a long time, reducing the mortality rate of cubs in harsh environments.

At the same time, the solar crystal panel 324 can make full use of the solar energy on the pasture, and convert it into electric energy to supply power for the system, which is pollution-free, energy-saving and environmentally friendly. The photoelectric device 325 monitors the power of the battery 326 in real time, which helps to prolong the service life of the battery 326, and the photoelectric device 325 can automatically power off at night to reduce the power consumption of the system.

Therefore, the wireless monitoring and tracking system of the cloud intelligent pasture in this embodiment can improve the accuracy of remote monitoring, reduce power consumption, have high reliability, and save energy and protect the environment.

In order to prevent the livestock on the pasture from hitting the monitoring pole 321 or the solar crystal panel 324, with reference to FIG. 4, the cloud intelligent remote pasture monitoring subsystem 32 further includes a fence, the fence is vertically fixed on the pasture, the fence includes a plurality of protection fences, and the protection fences Connected in sequence, the center of the fence is the monitoring pole 321, so as to play a certain protective role on the monitoring pole 321 or the solar crystal panel 324, and improve the working stability of the system.

At the same time, in order to ensure the stability of data transmission and reduce signal interference, the wireless monitoring and tracking system of the cloud intelligent pasture in this embodiment is also provided with wireless signal transmission equipment, and the wireless signal transmission equipment includes wireless sending equipment and wireless receiving equipment, wherein, the wireless sending equipment 327 is arranged above the panoramic camera 323, fixed on the upper end of the monitoring pole 321, and connected to the panoramic camera 323, for receiving the image information collected by the panoramic camera 323, and sending it to the wireless receiving device by wireless transmission. The wireless receiving device is connected to the remote control terminal 31 , receives image information, and transmits it to the remote control terminal 31 . Here, the wireless signal transmission equipment adopts XTrans wireless technology, which has the characteristics of long transmission distance, high throughput and strong anti-interference. It is suitable for complex outdoor environments and can meet the needs of long-distance data transmission in ranches.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, but not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: The technical solutions described in the foregoing embodiments can still be modified, or some or all of the technical features thereof can be equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the embodiments of the present invention. The scope of the invention should be included in the scope of the claims and description of the present invention.

Claims (9)

1. A cloud intelligent pasture wireless monitoring and tracking method is characterized by comprising the following steps:

an information acquisition step: acquiring an illumination intensity value of a pasture, first frame image information and second frame image information, wherein the first frame image information is adjacent to the second frame image information;

and (3) illumination intensity processing: comparing the illumination intensity value with an illumination threshold value, if the illumination intensity value is less than or equal to the illumination threshold value, outputting a monitoring stopping instruction, and quitting the cloud intelligent pasture wireless monitoring and tracking method;

an image information processing step: preprocessing the first frame image information and the second frame image information;

identifying characteristic points of the livestock to be tracked in the first frame of image information to form sample characteristic points;

determining first position information of the livestock to be tracked according to the first frame of image information;

estimating the position of the livestock to be tracked in a second frame according to a first motion speed and first position information of the livestock to be tracked in a first frame, which are acquired in advance, so as to acquire an estimated position;

comparing the estimated position with the second frame of image information to obtain a region to be identified;

according to the sample feature points, identifying target feature points of the livestock to be tracked in the area to be identified, and updating the target feature points to the sample feature points;

determining second position information of the livestock to be tracked according to the second frame of image information;

determining a second movement speed of the livestock to be tracked in a second frame according to the first position information and the second position information;

abnormal individual identification: and checking the second movement speed, recording the checking times if the second movement speed is equal to zero, comparing the checking times with a set threshold value, and classifying the livestock to be tracked as abnormal individuals if the checking times is greater than the set threshold value.

2. The cloud intelligent pasture wireless monitoring and tracking method according to claim 1,

after classifying said livestock to be tracked as abnormal individuals, the method further comprises:

and setting the abnormal individuals into specific colors, and generating alarm prompt information.

3. The cloud intelligent pasture wireless monitoring and tracking method according to claim 1,

the identification of the feature points of the livestock to be tracked in the first frame of image information to form sample feature points specifically comprises the following steps:

according to the contour of the livestock to be tracked, identifying the position range of the livestock to be tracked in the first frame of image information;

and according to the local characteristic points of the livestock to be tracked, acquiring the characteristic points of the livestock to be tracked in the position range, and forming sample characteristic points.

4. The cloud-intelligent ranch wireless monitoring and tracking method according to claim 1, wherein after determining a second movement speed of the animal to be tracked at a second frame, the method further comprises:

and checking the second movement speed, and if the second movement speed is greater than zero, setting the checking times to be in an initial state.

5. The utility model provides a cloud intelligence pasture wireless monitoring tracking means which characterized in that includes:

an information acquisition module: the system comprises a light source, a display unit and a controller, wherein the light source is used for obtaining an illumination intensity value of a pasture, first frame image information and second frame image information, and the first frame image information is adjacent to the second frame image information;

the illumination intensity processing module: the system is used for comparing the illumination intensity value with an illumination threshold value, if the illumination intensity value is less than or equal to the illumination threshold value, outputting a monitoring stopping instruction, and quitting the cloud intelligent pasture wireless monitoring and tracking method;

an image information processing module: for preprocessing the first frame image information and the second frame image information; identifying characteristic points of the livestock to be tracked in the first frame of image information to form sample characteristic points; determining first position information of the livestock to be tracked according to the first frame of image information; estimating the position of the livestock to be tracked in a second frame according to a first motion speed and first position information of the livestock to be tracked in a first frame, which are acquired in advance, so as to acquire an estimated position; comparing the estimated position with the second frame of image information to obtain a region to be identified; according to the sample feature points, identifying target feature points of the livestock to be tracked in the area to be identified, and updating the target feature points to the sample feature points; determining second position information of the livestock to be tracked according to the second frame of image information; determining a second movement speed of the livestock to be tracked in a second frame according to the first position information and the second position information;

an abnormal individual identification module: and the livestock tracking device is used for checking the second movement speed, recording the checking times if the second movement speed is equal to zero, comparing the checking times with a set threshold value, and classifying the livestock to be tracked as abnormal individuals if the checking times is greater than the set threshold value.

6. The cloud intelligent pasture wireless monitoring and tracking device according to claim 5, characterized in that the device further comprises an abnormality reminding module: the system is used for setting the abnormal individuals into specific colors and generating alarm prompt information.

7. The cloud intelligent pasture wireless monitoring and tracking device according to claim 5,

the image information processing module is specifically used for identifying the characteristic points of the livestock to be tracked in the first frame of image information and forming sample characteristic points: according to the contour of the livestock to be tracked, identifying the position range of the livestock to be tracked in the first frame of image information; and according to the local characteristic points of the livestock to be tracked, acquiring the characteristic points of the livestock to be tracked in the position range, and forming sample characteristic points.

8. The utility model provides a cloud intelligence pasture wireless monitoring tracker which characterized in that includes:

a remote control end and a plurality of cloud intelligent remote pasture monitoring subsystems distributed in the pasture,

the cloud intelligent remote pasture monitoring subsystem comprises a monitoring upright rod, a plurality of gun columns, a panoramic camera, a solar crystal plate, photoelectric equipment and a storage battery,

the monitoring upright stanchion is vertically arranged on the pasture,

one end of each gun post is fixed on the pasture, the other end of each gun post is fixed on the monitoring vertical rod and forms a preset included angle with the monitoring vertical rod,

the panoramic camera is positioned at the top end of the monitoring upright rod,

the solar crystal plate is fixed on the gun post,

the photoelectric equipment is fixed on the monitoring vertical rod,

the storage battery is positioned below the ground surface of the pasture and within a specified range of the bottom of the monitoring upright,

the panoramic camera and the photoelectric equipment are both wirelessly connected with the remote control end,

the solar crystal plate, the photoelectric equipment and the storage battery are connected in sequence, the storage battery is also connected with the panoramic camera,

the panoramic camera is used for collecting the image information of the pasture and transmitting the image information to the remote control end,

the photoelectric equipment is used for collecting an illumination intensity value, transmitting the illumination intensity value to the remote control end, automatically switching to a power-off state when the illumination intensity value is lower than an illumination threshold value, monitoring a voltage value of the storage battery, transmitting the electric energy of the solar crystal plate to the storage battery when the voltage value is lower than a first voltage threshold value, and stopping transmitting the electric energy when the voltage value is higher than a second voltage threshold value,

the storage battery is used for supplying power to the photoelectric equipment and the panoramic camera;

the remote control end is used for outputting the position of the livestock to be tracked in the pasture in real time by adopting the cloud intelligent pasture wireless monitoring and tracking method of any one of claims 1 to 4 and judging whether abnormal individuals exist in the livestock to be tracked.

9. The cloud intelligent pasture wireless monitoring and tracking system according to claim 8,

the cloud intelligent remote pasture monitoring subsystem further comprises a fence,

the rail vertical fixation is in the pasture, the rail includes a plurality of protection fences, just the protection fence is end to end connection in proper order, the center of rail does the control pole setting.

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