CN106713869A - Method, device and system for remotely monitoring pasture land - Google Patents

Abstract

The invention belongs to the technical field of the Internet and provides a method, device and system for remote monitoring of pastures. 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 the light threshold, then outputting a stop monitoring command, identifying the livestock to be tracked at the first frame of image information Feature points, forming sample feature points, estimating the position of the animal to be tracked in the second frame, obtaining the estimated position, determining the second position information and the second movement speed of the animal to be tracked, if the second movement speed is equal to zero, record the test times, and the number of inspections is greater than the set threshold, the livestock to be tracked is classified as an abnormal individual. The method, device and system for remote monitoring of pastures of the present invention can improve the accuracy of remote monitoring, reduce power consumption, and have high reliability.

Description

Method, device and system for remote monitoring of ranch

technical field

The invention relates to the technical field of the Internet, in particular to a method, device and system for remote monitoring of pastures.

Background technique

On the grasslands, the herdsmen live scatteredly, and most of them live on animal husbandry, and most of them are nomadic free-range breeding. The pasture is spacious, but manpower is insufficient. During the breeding process, cattle and sheep are often lost or mixed. In winter, 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 remote monitoring functions, high power consumption, and cumbersome equipment maintenance processes, which bring troubles to users. At the same time, the existing monitoring equipment cannot make full use of 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.

Contents of the invention

Aiming at the defects in the prior art, the present invention provides a method, device and system for remote monitoring of pastures, which can improve the accuracy of remote monitoring, reduce power consumption, and have high reliability.

In a first aspect, the present invention provides a method for remote monitoring of a pasture, the method comprising:

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

According to the feature points and scene information, determine the position of the livestock in the pasture.

The present invention provides another method for remote monitoring of pastures, the method comprising:

Information acquisition step: acquire 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, if the light intensity value is less than or equal to the light threshold, output a stop monitoring command;

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;

Estimating the position of the animal to be tracked in the second frame according to the pre-acquired first moving speed and first position information of the animal to be tracked in the first frame, and obtaining the estimated position;

Comparing 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 area to be identified, and update to the sample feature points;

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

According to the first position information and the second position information, determine the second movement speed of the livestock to be tracked at the second frame;

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, classify the livestock to be tracked as an abnormal individual.

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

Set the abnormal individual to a specific color, and generate an alarm message.

Further, identify 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 position range are obtained, and the sample feature points are formed.

Based on any embodiment of the remote monitoring method for a pasture above, further, after determining the second movement speed of the livestock to be tracked at the second frame, the method further includes:

Check the second movement speed, if the second movement speed is greater than zero, set the number of checks to the initial state.

In the second aspect, the present invention provides a remote monitoring device for a pasture, the device includes an information acquisition module, a light intensity processing module, an image information processing module and an abnormal individual identification module, and the information acquisition module is used to obtain the light intensity value of the pasture, the first The frame image information and the second frame image information, the first frame image information is adjacent to the second frame image information; the light intensity processing module is used to compare the light intensity value with the light threshold, if the light intensity value is less than or equal to the light threshold, then output 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; according to the first frame of image information , determine the first position information of the livestock to be tracked; estimate the position of the livestock to be tracked in the second frame according to the pre-acquired first moving speed and first position information of the livestock to be tracked in the first frame, and obtain the estimated position; Comparing the estimated position with the second frame of image information 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 area to be identified, and update to the sample feature points; according to the second frame of image information, Determine the second position information of the animal to be tracked; determine the second movement speed of the animal to be tracked in the second frame according to the first position information and the second position information; the abnormal individual identification module is used to check the second movement speed, if the first 2. If the moving speed is equal to zero, record the number of inspections and compare it 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, the remote monitoring device for the ranch in this embodiment also includes an abnormality reminder module: used to set the abnormal individual as 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 animal to be tracked in the first frame of image information according to the outline of the livestock to be tracked. The position range in ; 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 remote monitoring system for a pasture, 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 a monitoring pole, a plurality of guns Columns, panoramic cameras, solar crystal panels, photoelectric equipment and batteries, and the monitoring poles are vertically installed on the pasture. One end of each gun column is fixed on the pasture, and the other end is fixed on the monitoring pole, and it forms a predetermined angle with the monitoring pole. The panoramic camera is located on the top of the monitoring pole, the solar crystal panel is fixed on the gun column, the photoelectric equipment is fixed on the monitoring pole, the storage 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 All are wirelessly connected to the remote control terminal, solar crystal panels, photoelectric equipment and batteries are connected in sequence, and the battery is also connected to the panoramic camera, which is used to collect image information of the pasture and transmit it to the remote control terminal, and the photoelectric equipment is used to collect light intensity value, 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 solar crystal The electric energy of the board is transmitted to the storage battery, and when the voltage value is higher than the second voltage threshold, the transmission of electric energy is stopped, and the storage battery is used to supply power for the photoelectric equipment and the panoramic camera; Track the location of livestock and judge whether there are abnormal individuals among the livestock to be tracked.

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

It can be seen from the above technical solutions that the remote monitoring method, device and system for pastures provided by this embodiment determine whether to monitor through the light intensity value, so as to prevent the image information from being too low in quality and unable to identify the livestock to be tracked, and meet the application requirements of herdsmen. Helps save energy and reduce power consumption. Moreover, the method can process the image information and output the location information of the livestock to be tracked in real time. The result is accurate and reliable, which is convenient for herdsmen to check, saves manpower, effectively prevents livestock from being lost or mixed, and herdsmen can find that the location information does not change for a long time Abnormal individuals, reducing the mortality rate of cubs in harsh environments.

Therefore, the method, device and system for remote monitoring of ranch in this embodiment can improve the accuracy of remote monitoring, reduce power consumption, and have high reliability.

Description of drawings

In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings that need to be used in the description of the specific embodiments or the prior art. Throughout the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, elements or parts are not necessarily drawn in actual scale.

Fig. 1 shows the flow chart of a kind of pasture remote monitoring method provided by the present invention;

Fig. 2 shows the structural block diagram of a kind of pasture remote monitoring device provided by the present invention;

Fig. 3 shows the structural representation of a kind of pasture remote monitoring system provided by the present invention;

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

detailed description

Embodiments of the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, so they are only examples, and should not be used to limit the protection scope of the present invention.

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

In the first aspect, a remote monitoring method for a pasture provided by an embodiment of the present invention includes: acquiring feature point information of livestock and scene information of the pasture; and determining the position of the livestock in the pasture according to the feature point and scene information.

The embodiment of the present invention provides another method for remote monitoring of pastures. With reference to FIG. 1, the method includes:

Information acquisition step S1: Acquire 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 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, then output a stop monitoring instruction, for example, at night, livestock rarely walk on the pasture, and the image information collected at night, The processing is difficult, and it is difficult to quickly and accurately extract the livestock to be tracked. The image information at this time will be filtered out later and will not be processed.

Image information processing step S3: preprocessing the image information of the first frame and the image information of the second frame. For example, grayscale processing is performed on the image information, the median filter algorithm is used to remove the isolated point noise in the image information, and the characteristics of the edge of the image can be maintained, and the multiplicative noise in the image information is removed by the Wiener filter algorithm.

The feature points of the first frame image information of the livestock to be tracked are identified to form sample feature points.

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

According to the pre-obtained first moving speed and first position information of the animal to be tracked in the first frame, the position of the animal to be tracked in the second frame is estimated to obtain an estimated position, where the estimated position is based on the first position The center, the sector area with estimated radius. Wherein, 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 direction of the first movement speed and the variable angle range.

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 area to be identified, and update 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, determine the second moving speed of the livestock to be tracked in the second frame, here, according to the first position information and the second position information, to determine the distance value, according to the two frames of image information time interval, the second motion 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 location information of a certain 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 herdsmen to check it in time. Here, according to the number of comparisons and the sampling of each frame of image information time interval to determine the time.

It can be seen from the above technical solution that the remote monitoring method for pastures provided by this embodiment determines whether to monitor through the light intensity value, so as to prevent the quality of image information from being too low and unable to identify the livestock to be tracked, and meets the application requirements of herdsmen, which helps to save energy, reducing power consumption. Moreover, the method can process the image information and output the location information of the livestock to be tracked in real time. The result is accurate and reliable, which is convenient for herdsmen to check, saves manpower, effectively prevents livestock from being lost or mixed, and herdsmen can find that the location information does not change for a long time Abnormal individuals, reducing the mortality rate of cubs in harsh environments.

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

For the convenience of herdsmen, specifically, after classifying the livestock to be tracked as an abnormal individual, the remote monitoring method of the ranch in this embodiment further includes: setting the abnormal individual to a specific color, and generating an alarm prompt message to prompt the herdsman to check in time, At the same time, specific colors are used to facilitate herdsmen to intuitively and quickly search for abnormal individuals in scene information, which helps to improve user experience.

In order to further provide the accuracy of the farm remote monitoring method of this embodiment, specifically, when forming 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 position range are obtained, and the sample feature points are formed. Here, this method can preliminarily determine the location 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 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 this 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 center of mass, obtain the moment of inertia of the contour image, and perform normalization.

According to the local feature point of the livestock to be tracked, the centroid of the local feature point is calculated. And perform a 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.

Use the same process to process local feature points. According to the moment of inertia of the outline after the normalization process, the outline 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 moment of inertia of the contour and the moment of inertia of the feature point for recognition, which has high accuracy and a 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 remote monitoring method of the pasture in this embodiment also includes: checking the second movement speed, if the second movement speed is greater than zero, then setting the number of times of inspection as the initial state , that is, the byte of the number of detection times is set to zero, so as to record the state of the livestock to be tracked and prevent the program from recording errors.

In the second aspect, the embodiment of the present invention provides a remote monitoring device for 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. It is used to obtain 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 light threshold , if the light intensity value is less than or equal to the light threshold, then output the 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 characteristics of the livestock to be tracked in the first frame image information points to form sample feature points; according to the first frame of image information, determine the first position information of the livestock to be tracked; Estimate the position in the second frame to obtain 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 feature points of the livestock to be tracked in the area to be identified according to the sample feature points, and Update to the sample feature points; determine the second position information of the livestock to be tracked according to the image information of the second frame; determine the second moving speed of the livestock to be tracked in the second frame according to the first position information and the second position information; abnormal The 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 is recorded and compared 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.

It can be seen from the above technical solutions that the remote monitoring device for pastures provided by this embodiment determines whether to monitor through the light intensity value, prevents the quality of image information from being too low, and cannot identify the livestock to be tracked, and meets the application requirements of herdsmen, which helps to save energy, reducing power consumption. Moreover, the device can process the image information and output the location information of the livestock to be tracked in real time. The result is accurate and reliable, which is convenient for herdsmen to check, saves manpower, effectively prevents livestock from being lost or mixed, and herdsmen can find that the location information does not change for a long time Abnormal individuals, reducing the mortality rate of cubs in harsh environments.

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

Specifically, the remote monitoring device for pastures in this embodiment also includes an abnormal reminder module: used to set abnormal individuals to specific colors, and generate alarm prompt information to prompt herdsmen to check in time and handle them. At the same time, specific colors are used to facilitate herdsmen Intuitively and quickly search for abnormal individuals in scene information, which helps to improve user experience.

Specifically, when the image information processing module 3 identifies the feature points of the first frame image information of the livestock to be tracked and forms the sample feature points, it is specifically used to: identify the first frame of the image of the livestock to be tracked according to the outline of the livestock to be tracked. The location 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 location 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 sample feature points according to the local feature points, which helps to improve data processing efficiency and can ensure that the sample feature points the accuracy.

In the third aspect, the embodiment of the present invention provides a remote monitoring system for a pasture. 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. 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 columns 322, a panoramic camera 323, a solar crystal panel 324, a photoelectric device 325 and a storage battery 326. The monitoring pole 321 is vertically arranged on the pasture. One end of each gun column 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 are stable, 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 column 322 , and the photoelectric device 325 is fixed on the monitoring pole 321 . The photoelectric device 325 can monitor the voltage value and current value of the storage battery 326 in real time, and display it on the display screen of the photoelectric device 325 for the convenience of users to check.

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

The panoramic camera 323 and the photoelectric device 325 are all 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 transmits 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. When the light intensity value is lower than the light threshold, it automatically switches To the power-off state, it is also used to monitor the voltage value of the battery 326. When the voltage value is lower than the first voltage threshold, the electric energy of the solar crystal panel 324 is transmitted to the battery 326. When the voltage value is higher than the second voltage threshold, then Stop transmitting electric energy, the storage battery 326 is used to supply power for the photoelectric equipment 325 and the panoramic camera 323, and outputs 12 volts of direct current; the remote control terminal 31 is used for adopting the remote monitoring method of the pasture, outputting the position of the livestock to be tracked in the pasture in real time, and judging the livestock to be tracked Whether there are abnormal individuals in .

It can be seen from the above technical solution that the remote monitoring system for the ranch provided by 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 from being too low in quality, so that it cannot be identified to be tracked. Livestock, and meet the application needs of herders, help save energy and reduce power consumption. Moreover, the system collects image information through the panoramic camera 323, processes the image information with the remote control terminal 31, and outputs the location information of the livestock to be tracked in real time. The result is accurate and reliable, which is convenient for herdsmen to check, saves manpower, and effectively prevents livestock from being lost or mixed. , and the herdsmen can detect abnormal individuals whose location information remains unchanged for a long time in time, and reduce the mortality 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 electrical 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 storage battery 326 in real time, which helps to prolong the service life of the storage battery 326, and the photoelectric device 325 can automatically power off at night to reduce system power consumption.

Therefore, the remote monitoring system for pastures in this embodiment can improve the accuracy of remote monitoring, reduce power consumption, have high reliability, save energy and protect the environment.

In order to prevent the livestock on the pasture from bumping into the monitoring pole 321 or the solar crystal panel 324, in conjunction with Fig. 4, the cloud intelligent remote pasture monitoring subsystem 32 also includes a fence, the fence is vertically fixed on the pasture, the fence includes a plurality of protection fences, and the protection fence The ends are connected sequentially, and the center of the fence is the monitoring pole 321, which plays a certain protective role for the monitoring pole 321 or the solar crystal panel 324, and improves the working stability of the system.

At the same time, in order to ensure the stability of data transmission and reduce signal interference, the remote monitoring system of the pasture in this embodiment is also provided with wireless signal transmission equipment. The wireless signal transmission equipment includes wireless sending equipment and wireless receiving equipment, wherein the wireless sending equipment 327 is set on The top of the panoramic camera 323 is fixed on the upper end of the monitoring pole 321 and is connected with the panoramic camera 323 for receiving the image information collected by the panoramic camera 323 and sending it to a wireless receiving device by wireless transmission. The wireless receiving device is connected with the remote control terminal 31 to receive image information and transmit 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 rate 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, rather than limiting 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: It is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the various embodiments of the present invention. All of them should be covered by the scope of the claims and description of the present invention.

Claims (10)

1. A method for remote monitoring of pastures, characterized in that, comprising: Obtain the feature point information of the livestock and the scene information of the pasture; The position of the livestock in the pasture is determined according to the feature points and the scene information. 2. A method for remote monitoring of pastures, comprising: Information obtaining step: obtaining 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; Light intensity processing step: compare the light intensity value with the light threshold, if the light intensity value is less than or equal to the light threshold, output a stop monitoring instruction; Image information processing step: preprocessing the first frame of image information and the second frame of image information; Identifying the feature points of the livestock to be tracked in the first frame of image information to form sample feature points; determining first position information of the livestock to be tracked according to the first frame of image information; Estimating the position of the animal to be tracked at the second frame according to pre-acquiring the first moving speed of the animal to be tracked at the first frame and the first position information, and obtaining the estimated position; Comparing the estimated position with the image information of the second frame to obtain a region to be identified; Identify target feature points of the livestock to be tracked in the area to be identified according to the sample feature points, and update 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 animal to be tracked at a 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, then record the number of checks, and compare with the set threshold, if the number of checks is greater than the set threshold, then put the to-be-tracked Livestock are classified as anomalous individuals. 3. according to the described farm remote monitoring method of claim 2, it is characterized in that, After classifying the livestock to be tracked as an abnormal individual, the method further includes: The abnormal individual is set to a specific color, and an alarm prompt message is generated. 4. according to the described farm remote monitoring method of claim 2, it is characterized in that, 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 includes: Identifying 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 position range are obtained, and sample feature points are formed. 5. according to the described farm remote monitoring method of claim 2, it is characterized in that, After determining the second movement speed of the animal to be tracked at the second frame, the method further includes: Checking the second moving speed, if the second moving speed is greater than zero, setting the number of times of checking as an initial state. 6. A remote monitoring device for pastures, characterized in that it comprises: Information acquisition module: used to acquire 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; Light intensity processing module: used to compare the light intensity value with the light threshold, if the light intensity value is less than or equal to the light threshold, output a stop monitoring instruction; Image information processing module: used to preprocess the first frame image information and the second frame image information; identify the feature points of the livestock to be tracked in the first frame image information to form sample feature points; according to the The first frame of image information, determining the first position information of the animal to be tracked; according to the pre-acquired first moving speed and the first position information of the animal to be tracked in the first frame, for the animal to be tracked Estimating the position in the second frame to obtain an estimated position; comparing the estimated position with the image information of the second frame to obtain an area to be identified; according to the sample feature points, identifying where the livestock to be tracked is located. The target feature points in the area to be identified are updated to the sample feature points; according to the second frame image information, the second position information of the livestock to be tracked is determined; according to the first position information and the The second position information is used to determine the second movement speed of the animal to be tracked at the second frame; Abnormal individual identification module: used to check the second movement speed, if the second movement speed is equal to zero, then record the number of inspections and compare with the set threshold, if the number of inspections is greater than the set threshold, then the Livestock to be tracked are classified as anomalous individuals. 7. The remote monitoring device for a ranch according to claim 6, characterized in that the device further comprises an abnormal reminder module: used to set the abnormal individual as a specific color and generate an alarm prompt message. 8. according to the described remote monitoring device of the pasture in claim 6, it is characterized in that, When the image information processing module identifies the feature points of the livestock to be tracked in the first frame of image information to form sample feature points, it is specifically used to: identify the animal to be tracked in the The position range in the first frame of image 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. 9. A remote monitoring system for pastures, comprising: The remote control terminal and multiple cloud intelligent remote ranch monitoring subsystems distributed in the ranch, The cloud intelligent remote pasture monitoring subsystem includes monitoring poles, multiple gun columns, panoramic cameras, solar crystal panels, photoelectric equipment and batteries, The monitoring pole is vertically arranged on the pasture, One end of each gun column is fixed to the pasture, the other end is fixed to the monitoring pole, and forms a predetermined angle with the monitoring pole, The panoramic camera is located at the top of the monitoring pole, The solar crystal panel is fixed on the gun post, The photoelectric equipment is fixed on the monitoring pole, The storage battery is located below the ground surface of the pasture and within a specified range of the bottom of the monitoring pole, Both the panoramic camera and the photoelectric device are wirelessly connected to the remote control terminal, The solar crystal panel, the photoelectric equipment and the storage battery are connected in sequence, and the storage 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 photoelectric device is used to collect the light intensity value and transmit it to the remote control terminal, and automatically switch to the power-off state when the light intensity value is lower than the light threshold value, and is also used to monitor the voltage value of the storage 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, and when the voltage value is higher than the second voltage threshold value, the electric energy transmission is stopped, The battery is used to power the photoelectric equipment and the panoramic camera; The remote control terminal is used to output the location of the livestock to be tracked in the ranch in real time by adopting the remote monitoring method of the farm, and judge whether there is an abnormal individual among the livestock to be tracked. 10. according to the described farm remote monitoring system of claim 9, it is characterized in that, The cloud intelligent remote pasture monitoring subsystem also includes a fence, The fence is vertically fixed to the pasture, and the fence includes a plurality of protection fences, and the protection fences are sequentially connected at the end, and the center of the fence is the monitoring pole.