CN106713869B - Cloud intelligent pasture wireless monitoring and tracking method, device and system - Google Patents
Cloud intelligent pasture wireless monitoring and tracking method, device and system Download PDFInfo
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- CN106713869B CN106713869B CN201710016439.7A CN201710016439A CN106713869B CN 106713869 B CN106713869 B CN 106713869B CN 201710016439 A CN201710016439 A CN 201710016439A CN 106713869 B CN106713869 B CN 106713869B
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Abstract
The invention belongs to the technical field of internet, and provides a cloud intelligent pasture wireless monitoring and tracking method, device and system. The method comprises the following steps: the method comprises the steps of obtaining an illumination intensity value of a pasture, first frame image information and second frame image information, if the illumination intensity value is smaller than or equal to an illumination threshold value, outputting a monitoring stopping instruction, identifying characteristic points of livestock to be tracked in the first frame image information, forming sample characteristic points, estimating the position of the livestock to be tracked in a second frame, obtaining an estimated position, determining second position information and a second movement speed of the livestock to be tracked, if the second movement speed is equal to zero, recording the number of times of detection, and if the number of times of detection is larger than a set threshold value, classifying the livestock to be tracked into abnormal individuals. The cloud intelligent pasture wireless monitoring and tracking method, device and system can improve the accuracy of remote monitoring, reduce power consumption and have high reliability.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a cloud intelligent pasture wireless monitoring and tracking method, device and system.
Background
On the grassland, the residents are scattered, mostly live in stock raising, and mostly are scattered in nomadic raising. The pasture is broad, but the manpower is not enough, and at the breed in-process, the phenomenon that the ox and sheep lost or mixed crowd often appears, in winter, the phenomenon that the cub was frozen dead can appear even, brings huge loss for herdsman, also increases the manpower burden. Although some monitoring devices exist in the market, the existing monitoring devices have poor remote monitoring function, high power consumption and complex device maintenance process, and bring trouble to users. Meanwhile, the existing monitoring equipment cannot make full use of solar energy resources on the pasture.
How to improve the accuracy of remote monitoring, reduce power consumption, and improve reliability is a problem that needs to be solved urgently by those skilled in the art.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a cloud intelligent pasture wireless monitoring and tracking method, device and system, which can improve the accuracy of remote monitoring, reduce power consumption and have high reliability.
In a first aspect, the present invention provides a cloud intelligent pasture wireless monitoring and tracking method, including:
acquiring feature point information of livestock and scene information of a pasture;
and determining the position of the livestock in the pasture according to the characteristic points and the scene information.
The invention provides another cloud intelligent pasture wireless monitoring and tracking method, which comprises 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, and if the illumination intensity value is less than or equal to the illumination threshold value, outputting a monitoring stopping instruction;
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 the second frame according to the first movement speed and the first position information of the livestock to be tracked in the first frame to obtain an estimated position;
comparing the estimated position with the second frame of image information to obtain a region to be identified;
identifying target characteristic points of the livestock to be tracked in the area to be identified according to the sample characteristic points, and updating the target characteristic points to the sample characteristic 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 are greater than the set threshold value.
Further, after classifying the livestock to be tracked as abnormal individuals, the method further comprises:
and setting the abnormal individuals into specific colors, and generating alarm prompt information.
Further, identifying the characteristic points of the livestock to be tracked in the first frame of image information to form sample characteristic points, specifically comprising:
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 acquiring the characteristic points of the livestock to be tracked in the position range according to the local characteristic points of the livestock to be tracked, and forming sample characteristic points.
Based on the above embodiment of the method for wireless monitoring and tracking of any cloud intelligent pasture, further, after determining a second movement speed of the livestock to be tracked in a second frame, the method further includes:
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.
In a second aspect, the invention provides a cloud intelligent pasture wireless monitoring and tracking device, which comprises an information acquisition module, an illumination intensity processing module, an image information processing module and an abnormal individual identification module, wherein the information acquisition module is used for acquiring 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 is used for comparing the illumination intensity value with an illumination threshold value, and outputting a monitoring stopping instruction if the illumination intensity value is less than or equal to the illumination threshold value; the image information processing module is used 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 the second frame according to the first movement speed and the first position information of the livestock to be tracked in the first frame to obtain an estimated position; comparing the estimated position with the second frame of image information to obtain a region to be identified; identifying target characteristic points of the livestock to be tracked in the area to be identified according to the sample characteristic points, and updating the target characteristic points to the sample characteristic 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; and the abnormal individual identification module is used for detecting the second movement speed, recording the detection times if the second movement speed is equal to zero, comparing the detection times with a set threshold value, and classifying the livestock to be tracked into abnormal individuals if the detection times are greater than the set threshold value.
Further, this embodiment wireless monitoring tracking means of cloud intelligence pasture still includes unusual warning module: the color-changing device is used for setting abnormal individuals into specific colors and generating alarm prompt information.
Further, when the image information processing module identifies feature points of the livestock to be tracked in the first frame of image information and forms sample feature points, the image information processing module is specifically configured to: 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 acquiring the characteristic points of the livestock to be tracked in the position range according to the local characteristic points of the livestock to be tracked, and forming sample characteristic points.
In a third aspect, the invention provides a cloud intelligent pasture wireless monitoring and tracking system, which comprises a remote control end and a plurality of cloud intelligent remote pasture monitoring subsystems distributed in a pasture, each cloud intelligent remote pasture monitoring subsystem comprises a monitoring upright pole, a plurality of gun columns, a panoramic camera, a solar crystal plate, a photoelectric device and a storage battery, the monitoring upright pole is vertically arranged in the pasture, one end of each gun column is fixed to the pasture, the other end of each gun column is fixed to the monitoring upright pole and forms a preset included angle with the monitoring upright pole, the panoramic camera is positioned at the top end of the monitoring upright pole, the solar crystal plate is fixed to the gun columns, the photoelectric device is fixed to the monitoring upright pole, the storage battery is positioned below the ground surface of the pasture, in a specified range of the bottom of the monitoring upright pole, the panoramic camera and the photoelectric device are both wirelessly connected with the remote control end, and the solar crystal plate, the, the storage battery is also connected with the panoramic camera, the panoramic camera is used for collecting image information of a pasture and transmitting the image information to the remote control end, the photoelectric equipment is used for collecting an illumination intensity value and transmitting the illumination intensity value to the remote control end, when the illumination intensity value is lower than an illumination threshold value, the power-off state is automatically switched to the power-off state, the voltage value of the storage battery is also used for monitoring, when the voltage value is lower than a first voltage threshold value, the electric energy of the solar crystal plate is transmitted to the storage battery, when the voltage value is higher than a second voltage threshold value, the transmission of the electric energy is stopped, and the storage battery is used for supplying power to the photoelectric; the remote control end is used for outputting the position of the livestock to be tracked in the pasture in real time by adopting a cloud intelligent pasture wireless monitoring and tracking method and judging whether abnormal individuals exist in the livestock to be tracked.
Further, the remote pasture monitoring subsystem of cloud intelligence still includes the rail, and rail vertical fixation in pasture, rail include a plurality of guard bars, and the guard bar is the end-to-end connection in proper order, and the center of rail is the control pole setting.
According to the technical scheme, the cloud intelligent pasture wireless monitoring and tracking method, device and system determine whether to monitor or not through the illumination intensity value, prevent that image information quality is too low, and can not identify livestock to be tracked, meet application requirements of herdsmen, contribute to energy conservation 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, has accurate and reliable results, is convenient for herdsmen to check, saves manpower, effectively prevents the livestock from being lost or mixed, can timely find abnormal individuals with unchanged position information for a long time by the herdsmen, and reduces the death rate of cubs in severe environment.
Therefore, the cloud intelligent pasture wireless monitoring and tracking method, device and system can improve the accuracy of remote monitoring, reduce power consumption and have high reliability.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
Fig. 1 shows a flow chart of a cloud intelligent pasture wireless monitoring and tracking method provided by the invention;
fig. 2 shows a block diagram of a cloud intelligent pasture wireless monitoring and tracking device provided by the invention;
fig. 3 shows a schematic structural diagram of a cloud intelligent pasture wireless monitoring and tracking system provided by the invention;
fig. 4 shows a schematic structural diagram of a cloud intelligent remote pasture monitoring subsystem provided by the invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby.
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
In a first aspect, a cloud intelligent pasture wireless monitoring and tracking method provided by the embodiment of the present invention includes: acquiring feature point information of livestock and scene information of a pasture; and determining the position of the livestock in the pasture according to the characteristic points and the scene information.
The embodiment of the invention provides another cloud intelligent pasture wireless monitoring and tracking method, which is combined with fig. 1 and comprises the following steps:
information acquisition step S1: the method comprises the steps of obtaining 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.
Light intensity processing step S2: comparing the illumination intensity value to an illumination threshold: if the illumination intensity value is less than or equal to the illumination threshold value, outputting a monitoring stopping instruction, for example, at night, livestock less walk on a pasture, image information acquired at night is difficult to process, the livestock to be tracked is difficult to extract quickly and accurately, and the image information at the moment is filtered and removed subsequently without being processed.
Image information processing step S3: the first frame image information and the second frame image information are preprocessed. If the image information is subjected to graying processing, the median filtering algorithm is adopted to remove isolated point noise in the image information, the characteristics of the image edge can be kept, and the wiener filtering algorithm is adopted to remove multiplicative noise and the like in the image information.
And identifying the characteristic points of the livestock to be tracked in the first frame of image information to form sample characteristic points.
According to the first frame of image information, first position information of the animal to be tracked, i.e. relative position coordinates of the animal to be tracked with respect to the reference environment, is determined.
Estimating the position of the livestock to be tracked in the second frame according to the first movement speed and the first position information of the livestock to be tracked in the first frame, and acquiring the estimated position, wherein the estimated position is a sector area with the first position as the center and the estimated value as the radius. Wherein the estimated value may be a value determined based on the first motion speed value and the fan angle is an angle determined based on the first motion speed direction and the variable angle range.
And comparing the estimated position with the second frame of image information to obtain the area to be identified.
And identifying target characteristic points of the livestock to be tracked in the area to be identified according to the sample characteristic points, and updating the target characteristic points to the sample characteristic points.
And determining second position information of the livestock to be tracked according to the second frame of image information.
And 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, wherein a distance value is determined according to the first position information and the second position information, and the second movement speed can be determined according to the time interval of the two frames of image information.
Abnormal individual identification step S4: 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, classifying the livestock to be tracked as an abnormal individual if the checking times are greater than the set threshold value, namely judging that the livestock to be tracked is abnormal if the position information of a certain livestock to be tracked does not change and exceeds a certain time, so as to remind the herdsman to check in time, wherein the time can be determined according to the comparison times and the sampling time interval of each frame of image information.
According to the technical scheme, the cloud intelligent pasture wireless monitoring and tracking method provided by the embodiment determines whether to monitor or not through the illumination intensity value, prevents that the image information quality is too low, cannot identify livestock to be tracked, meets the application requirement of herdsmen, contributes to energy conservation and reduces power consumption. Moreover, the method can process the image information, output the position information of the livestock to be tracked in real time, has accurate and reliable results, is convenient for herdsmen to check, saves manpower, effectively prevents the livestock from being lost or mixed, can timely find abnormal individuals with unchanged position information for a long time by the herdsmen, and reduces the death rate of cubs in severe environment.
Therefore, the cloud intelligent pasture wireless monitoring and tracking method can improve the accuracy of remote monitoring, reduce power consumption and is high in reliability.
For convenience of use by herdsmen, specifically, after classifying livestock to be tracked as abnormal individuals, the cloud intelligent pasture wireless monitoring and tracking method of the embodiment further includes: the abnormal individuals are set to be in specific colors, alarm prompt information is generated to prompt the herdsman to check in time and process the abnormal individuals, and meanwhile, the abnormal individuals are conveniently and visually searched in the scene information by the herdsman by adopting the specific colors, so that the user experience is improved.
In order to further provide the accuracy of the cloud intelligent pasture wireless monitoring and tracking method in the embodiment, specifically, when the sample feature points are formed, the implementation process of the method is as follows:
and identifying the position range of the livestock to be tracked in the first frame of image information according to the contour of the livestock to be tracked. And acquiring the characteristic points of the livestock to be tracked in the position range according to the local characteristic points of the livestock to be tracked, and forming sample characteristic points. 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 form the sample characteristic points according to the local characteristic points, so that the data processing efficiency is improved, and the accuracy of the sample characteristic points can be ensured.
When the livestock to be tracked is identified according to the contour or the local characteristic points of the livestock to be tracked, the method adopts the following processing procedures:
and calculating the mass center of the contour image according to the contour image of the livestock to be tracked. And rotating the outline image around the centroid to obtain the moment of inertia of the outline image, and performing normalization processing.
And calculating the mass center of the local characteristic point according to the local characteristic point of the livestock to be tracked. And performing rotation operation to obtain the moment of inertia of the local characteristic point, and performing normalization processing. The contour moment of inertia and the feature point moment of inertia of the normalization processing have good scaling, rotation and translation invariance, and the identification efficiency is improved.
The same procedure is used to process local feature points. And identifying the contour of the livestock to be tracked in the first frame of image information according to the contour rotational inertia after the normalization processing, and determining the position range. And identifying the livestock characteristic points to be tracked in the position range according to the characteristic point rotational inertia after the normalization processing to form sample characteristic points. The method adopts the contour rotational inertia and the feature point rotational inertia which are subjected to normalization processing to perform identification, and is high in accuracy and small in calculation amount.
Meanwhile, after determining a second movement speed of the livestock to be tracked in a second frame, the cloud intelligent pasture wireless monitoring and tracking method of the embodiment further includes: and (4) 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, namely setting the bytes of the detection times to be zero so as to conveniently record the state of the livestock to be tracked and prevent program recording errors.
In a second aspect, an embodiment of the present invention provides a cloud intelligent wireless pasture monitoring and tracking apparatus, which, with reference to fig. 2, includes an information obtaining module 1, an illumination intensity processing module 2, an image information processing module 3, and an abnormal individual identification module 4, where the information obtaining module 1 is configured to obtain 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 2 is used for comparing the illumination intensity value with an illumination threshold value, and outputting a monitoring stopping instruction if the illumination intensity value is less than or equal to the illumination threshold value; the image information processing module 3 is used 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 the second frame according to the first movement speed and the first position information of the livestock to be tracked in the first frame to obtain an estimated position; comparing the estimated position with the second frame of image information to obtain a region to be identified; identifying target characteristic points of the livestock to be tracked in the area to be identified according to the sample characteristic points, and updating the target characteristic points to the sample characteristic 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; the abnormal individual identification module 4 is used for detecting the second movement speed, recording the detection times if the second movement speed is equal to zero, comparing the detection times with a set threshold value, and classifying the livestock to be tracked as an abnormal individual if the detection times is greater than the set threshold value.
According to the technical scheme, the cloud intelligence pasture wireless monitoring tracking means that this embodiment provided confirms whether to monitor through the illumination intensity value, prevents that image information quality from crossing lowly, and unable discernment treats the livestock of trailing, and accords with herdsman's application demand, helps the energy can be saved, reduces the consumption. And, the device can handle image information, and the positional information of waiting to track the livestock is exported in real time, and the result is accurate, reliable, makes things convenient for herdsman to look over, uses manpower sparingly, prevents effectively that the livestock from losing or mixing crowd, and herdsman can in time discover the long unchangeable unusual individual of positional information, reduces the death rate of cub in adverse circumstances.
Therefore, the cloud intelligent pasture wireless monitoring and tracking device can improve the accuracy of remote monitoring, reduces power consumption and is high in reliability.
Specifically, this embodiment cloud intelligence pasture wireless monitoring tracking means still includes unusual warning module: the method is used for setting the abnormal individuals into specific colors and generating alarm prompt information to prompt the herdsmen to check in time and process, and meanwhile, the abnormal individuals are conveniently and visually and quickly searched in the scene information by the herdsmen by adopting the specific colors, so that the user experience is favorably improved.
Specifically, when the image information processing module 3 identifies feature points of the livestock to be tracked in the first frame of image information to form sample feature points, it is specifically configured to: 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 acquiring the characteristic points of the livestock to be tracked in the position range according to the local characteristic points of the livestock to be tracked, and forming sample characteristic points. Here, this image information processing module 3 can be according to the profile of waiting to track the livestock tentatively confirm the position scope of waiting to track the livestock, again according to local feature point, forms the sample feature point, helps improving data processing efficiency, and can guarantee the degree of accuracy of sample feature point.
In a third aspect, an embodiment of the present invention provides a cloud intelligent pasture wireless monitoring and tracking system, which, with reference to fig. 3 or fig. 4, includes a remote control terminal 31 and a plurality of cloud intelligent remote pasture monitoring subsystems 32 distributed in a pasture, and when in actual application, the cloud intelligent remote pasture monitoring subsystems 32 are mostly distributed on a soil slope in the pasture, which is helpful for acquiring image information of different areas of the pasture.
The cloud intelligent remote pasture monitoring subsystem 32 comprises a monitoring upright rod 321, a plurality of gun columns 322, a panoramic camera 323, a solar crystal plate 324, a photoelectric device 325 and a storage battery 326. The monitoring pole 321 is vertically disposed in the pasture. One end of each gun post 322 is fixed to the pasture, and the other end is fixed to the monitoring vertical rod 321 and forms a predetermined included angle with the monitoring vertical rod 321. Generally, three gun posts 322 are arranged, so that the stability is strong, and the gun is firm and reliable. The panoramic camera 323 is positioned at the top end of the monitoring upright 321, the solar crystal plate 324 is fixed on the gun pillar 322, and the photoelectric device 325 is fixed on the monitoring upright 321. The photovoltaic device 325 is capable of monitoring the voltage and current values of the battery 326 in real time and displaying them on the display screen of the photovoltaic device 325 for easy viewing by the user.
The storage battery 326 is located below the ground surface of the pasture, and is within a specified range of the bottom of the monitoring vertical rod 321, for example, within a range of 25 CM to 30CM near the monitoring vertical rod 321, the storage battery 326 is buried under the pasture within a range of 20 CM to 30CM in depth, so that the storage battery 326 is guaranteed to have a relatively stable operating temperature environment, the temperature is prevented from being too low or too high, the storage battery 326 is prevented from bursting, and the service life of the storage battery 326 is prolonged.
The panoramic camera 323 and the photoelectric device 325 are both in wireless connection with the remote control terminal 31, the solar crystal plate 324, the photoelectric device 325 and the storage battery 326 are sequentially connected, and the storage battery 326 is also connected with the panoramic camera 323. The panoramic camera 323 is used for collecting image information of a pasture and transmitting the image information to the remote control terminal 31, the photoelectric device 325 is used for collecting an illumination intensity value and transmitting the illumination intensity value to the remote control terminal 31, when the illumination intensity value is lower than an illumination threshold value, the power-off state is automatically switched to be in a power-off state, the voltage value of the storage battery 326 is also used for monitoring, when the voltage value is lower than a first voltage threshold value, electric energy of the solar crystal plate 324 is transmitted to the storage battery 326, when the voltage value is higher than a second voltage threshold value, the transmission of the electric energy is stopped, and the storage battery 326 is used for supplying power to the photoelectric device 325 and the panoramic camera 323 and; the remote control terminal 31 is used for outputting the position of the livestock to be tracked in the pasture in real time by adopting a cloud intelligent pasture wireless monitoring and tracking method, and judging whether abnormal individuals exist in the livestock to be tracked.
According to the technical scheme, the cloud intelligence pasture wireless monitoring tracker that this embodiment provided passes through photoelectric device 325, gathers illumination intensity value in real time to whether remote control end 31 confirms to monitor, prevent that image information quality from crossing lowly, and unable discernment treats the tracking livestock, and accords with herdsman's application demand, helps the energy can be saved, reduces the consumption. Moreover, the system collects image information through the panoramic camera 323, processes the image information through the remote control terminal 31, outputs the position information of the livestock to be tracked in real time, is accurate and reliable in result, is convenient for herdsmen to check, saves manpower, effectively prevents the livestock from being lost or mixed, can timely find abnormal individuals with unchanged position information for a long time by the herdsmen, and reduces the death rate of cubs in severe environments.
Meanwhile, the solar crystal plate 324 can fully utilize solar energy on a pasture and convert the solar energy into electric energy to supply power to the system, and the system is pollution-free, energy-saving and environment-friendly. The photoelectric device 325 monitors the electric quantity of the storage battery 326 in real time, so that the service life of the storage battery 326 is prolonged, and the photoelectric device 325 can automatically power off at night, so that the power consumption of the system is reduced.
Therefore, the cloud intelligent pasture wireless monitoring and tracking system can improve the accuracy of remote monitoring, reduce power consumption, and is high in reliability, energy-saving and environment-friendly.
In order to prevent livestock on the pasture from colliding with the monitoring upright rod 321 or the solar crystal plate 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, the protection fences are sequentially connected in an end-to-end manner, and the center of the fence is the monitoring upright rod 321 so as to protect the monitoring upright rod 321 or the solar crystal plate 324 to a certain extent and improve the working stability of the system.
Meanwhile, in order to ensure the stability of data transmission and reduce signal interference, the cloud intelligent pasture wireless monitoring and tracking system of the embodiment is further provided with a wireless signal transmission device, the wireless signal transmission device comprises a wireless sending device and a wireless receiving device, wherein the wireless sending device 327 is arranged above the panoramic camera 323, is fixed at the upper end of the monitoring upright rod 321, is connected with the panoramic camera 323, and is used for receiving the image information collected by the panoramic camera 323 and sending the image information to the wireless receiving device in a wireless transmission mode. The wireless receiving device is connected with the remote control terminal 31, receives the image information, and transmits the image information to the remote control terminal 31. The wireless signal transmission equipment adopts the XTrans wireless technology, has the characteristics of long transmission distance, high throughput rate, strong anti-interference performance and the like, is suitable for complex outdoor environment, and can meet the requirement of remote data transmission of pastures.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
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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