CN213303053U - Livestock health monitoring system based on 5G - Google Patents
Livestock health monitoring system based on 5G Download PDFInfo
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- CN213303053U CN213303053U CN202022510947.0U CN202022510947U CN213303053U CN 213303053 U CN213303053 U CN 213303053U CN 202022510947 U CN202022510947 U CN 202022510947U CN 213303053 U CN213303053 U CN 213303053U
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- control module
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Abstract
The application relates to a livestock health monitoring system based on 5G includes: the running track is arranged at a height greater than the maximum height of the livestock to be monitored; the guide rail robot comprises a guide rail, a control module and camera equipment electrically connected with the control module; the guide rail is mechanically connected with the running rail, so that the guide rail robot can fixedly run on the running rail; and the background server is connected with the control module and is used for monitoring the livestock to be monitored through the control module and the camera equipment. This application accessible guide rail robot patrols, acquires each image of waiting to monitor the livestock automatically to grasp the growth health condition of each livestock in real time through backend server, in time discover sick livestock, prevent the further diffusion of virus, thereby can reduce the mortality and the human cost of livestock, and then can reduce the breed cost. Meanwhile, the guide rail robot can run above the livestock to be monitored, and the image acquisition efficiency and the success rate are improved.
Description
Technical Field
The application relates to the technical field of intelligent breeding, in particular to a livestock health monitoring system based on 5G.
Background
With the improvement of the breeding technology, the domestic livestock farms can patrol the growth conditions of the livestock at present to confirm the health condition of each livestock and reduce the death number of the livestock. The traditional technology is that the growth condition of livestock is observed by daily patrol of breeding personnel. If sick livestock exists, after obvious abnormal conditions of the livestock occur, the breeding personnel can find the conditions and carry out further health examination on the sick livestock, the disease condition of the livestock develops to a more serious degree, the probability of successful treatment is lower, and other livestock are easily infected.
That is, since the conventional art lacks an effective livestock health monitoring method, it results in a high livestock mortality, and there is a problem in that the breeding cost is high.
SUMMERY OF THE UTILITY MODEL
Based on this, it is necessary to provide a 5G-based livestock health monitoring system capable of reducing breeding costs in view of the above technical problems.
A5G-based livestock health monitoring system comprising:
the running track is arranged at a height greater than the maximum height of the livestock to be monitored;
the guide rail robot comprises a guide rail, a control module and camera equipment electrically connected with the control module; the guide rail is mechanically connected with the running rail, so that the guide rail robot can fixedly run on the running rail;
and the background server is connected with the control module and is used for monitoring the livestock to be monitored through the control module and the camera equipment.
In one embodiment, the guideway robot further comprises a body and a lifting structure;
the body is internally provided with a control module, one side of the body is mechanically connected with the guide rail, and the other side of the body is mechanically connected with one end of the lifting structure; the other end of the lifting structure is provided with a camera device.
In one embodiment, the guideway robot further comprises a pan and tilt head; the cloud platform sets up between elevation structure and camera equipment.
In one embodiment, the guideway robot further comprises a drive module; the driving module is electrically connected with the control module.
In one embodiment, the guideway robot further comprises a communication module; the communication module is electrically connected with the control module and is in communication connection with the background server.
In one embodiment, the communication module is a 5G communication module.
In one embodiment, the imaging device is a thermal imaging thermometry imaging device.
In one embodiment, the 5G-based livestock health monitoring system further comprises a mobile terminal;
the mobile terminal is connected with the background server and used for pushing the early warning information transmitted by the background server.
In one embodiment, the 5G-based livestock health monitoring system further comprises a display;
the display is connected with the background server and used for displaying the early warning information transmitted by the background server.
In one embodiment, the guideway robot is a hanging-upside-down guideway robot.
In the above-mentioned livestock health monitoring system based on 5G, include: the running track is arranged at a height greater than the maximum height of the livestock to be monitored; the guide rail robot comprises a guide rail, a control module and camera equipment electrically connected with the control module; the guide rail is mechanically connected with the running rail, so that the guide rail robot can fixedly run on the running rail; the backstage server, connection control module for through control module and camera equipment, treat monitoring livestock and monitor, thereby accessible guide rail robot patrols, acquires the image of each livestock of treating monitoring automatically, and grasps the growth health condition of each livestock in real time through the backstage server, in time discovers ill livestock, prevents the further diffusion of virus, thereby can reduce the mortality and the human cost of livestock, and then can reduce the breed cost. Simultaneously, the orbit setting is on the height that is higher than the biggest height of waiting to monitor the livestock for the guide rail robot can be in the top operation of waiting to monitor the livestock, avoids influencing each other between guide rail robot and the livestock, thereby can improve the acquisition efficiency and the success rate of image.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments or the conventional technologies of the present application, the drawings used in the descriptions of the embodiments or the conventional technologies will be briefly introduced below, it is obvious that the drawings in the following descriptions are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a first block diagram of a 5G-based animal health monitoring system in one embodiment;
FIG. 2 is a schematic diagram of a guideway robot in one embodiment;
FIG. 3 is a schematic diagram of a second configuration of a 5G-based animal health monitoring system in one embodiment;
fig. 4 is a schematic diagram of a third configuration of a 5G-based animal health monitoring system in one embodiment.
Detailed Description
To facilitate an understanding of the present application, the present application will now be described more fully with reference to the accompanying drawings. Embodiments of the present application are set forth in the accompanying drawings. This application may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
It will be understood that, as used herein, the terms "first," "second," and the like may be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish one element from another.
Spatial relational terms, such as "under," "below," "under," "over," and the like may be used herein to describe one element or feature's relationship to another element or feature as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if the device in the figures is turned over, elements or features described as "below" or "beneath" other elements or features would then be oriented "above" the other elements or features. Thus, the exemplary terms "under" and "under" can encompass both an orientation of above and below. In addition, the device may also include additional orientations (e.g., rotated 90 degrees or other orientations) and the spatial descriptors used herein interpreted accordingly.
It will be understood that when an element is referred to as being "connected" to another element, it can be directly connected to the other element or be connected to the other element through intervening elements. Further, "connection" in the following embodiments is understood to mean "electrical connection", "communication connection", or the like, if there is a transfer of electrical signals or data between the connected objects.
As used herein, the singular forms "a", "an" and "the" may include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises/comprising," "includes" or "including," etc., specify the presence of stated features, integers, steps, operations, components, parts, or combinations thereof, but do not preclude the presence or addition of one or more other features, integers, steps, operations, components, parts, or combinations thereof. Also, as used in this specification, the term "and/or" includes any and all combinations of the associated listed items.
As mentioned in the background art, the traditional technology is easy to cause higher livestock mortality and has the problem of high breeding cost. The inventor researches and discovers that the problems are caused because the traditional technology lacks an effective livestock health monitoring method, and when the health condition of each livestock is judged, the livestock needs to be judged manually by breeding personnel, the breeding personnel patrols the farm, and only body temperature detection is carried out on the pigs through a handheld thermometer so as to judge whether the livestock is ill or not according to the body temperature. The accuracy of health monitoring highly depends on the experience of the culturists, and the requirements on the culturists are improved. Meanwhile, in a large-scale farm, if a plurality of rounds of inspection are required every day, a large amount of labor cost is consumed. Therefore, the growth health condition of each livestock cannot be accurately mastered in a farm, the sick livestock are difficult to find in time, and the death rate and the breeding cost of the livestock are increased.
In one embodiment, as shown in fig. 1, there is provided a 5G-based livestock health monitoring system comprising:
the running track is arranged at a height greater than the maximum height of the livestock to be monitored;
the guide rail robot 10 comprises a guide rail, a control module and a camera device electrically connected with the control module; the guide rail is mechanically connected with the running rail, so that the guide rail robot 10 fixedly runs on the running rail;
and the background server 20 is connected with the control module and is used for monitoring the livestock to be monitored through the control module and the camera equipment.
The track can be implemented by using any material, any shape and any principle, and only needs to be capable of supporting the guide rail robot 10 to operate and providing an operation track for the guide rail robot 10, which is not particularly limited in the present application. The rail robot 10 can be implemented by any function, any driving method, any controlled method, any function, any driving method, and any controlled method, and can be, for example, an electrically driven robot, a hydraulic robot, a pneumatic robot, a point position control type robot, or a continuous control type robot. Background server 20 may be implemented as a stand-alone server or as a server cluster of multiple servers.
Specifically, the rail robot 10 may move along the operation track at a height above, below, or even with the operation track, for example, may move forward or backward along the operation track, or may be stationary at a position on the operation track, so that the rail robot 10 can reach a target monitoring point corresponding to each animal to be monitored. In one example, the guideway robot 10 is an inverted guideway robot 10, and moves on the running track in an inverted manner, that is, according to the set height from high to low, respectively: a running track, a rail robot 10 and the livestock to be monitored.
Therefore, the guide rail robot 10 can operate above the livestock to be monitored, so that mutual influence between the guide rail robot 10 and the livestock to be monitored is avoided, the image acquisition efficiency and the success rate are improved, the health condition of each livestock to be monitored can be more accurately reflected by the images, and then all the livestock to be monitored can be reflected by the images with small quantity.
Specifically, the rail robot 10 includes a rail, one end of which is mechanically connected to the running track so that the rail robot 10 can move according to the trajectory of the running track, a control module, and a camera device. The control module can be electrically connected with the camera equipment and controls the working state of the camera equipment, so that livestock to be monitored can be shot by the camera equipment, and images of the livestock to be monitored can be acquired.
The background server 20 may be connected to the control module of the guide rail robot 10 in any manner to implement data interaction with the guide rail robot 10 and obtain a captured image. The connection between the backend server 20 and the guideway robot 10 may be, but is not limited to, an electrical connection or a communication connection. After receiving the images of the livestock to be monitored, the background server 20 may process the images by using a recognition algorithm in the prior art to obtain health monitoring results of the livestock to be monitored, and monitor the livestock to be monitored. Further, the algorithm employed by the backend server 20 and the image capturing device may be matched with each other, and the image capturing device may be, but is not limited to, an infrared image capturing device, a common color image capturing device, and the like.
For example, when the background server 20 adopts an algorithm that recognizes an infrared image to determine a health monitoring result of each livestock to be monitored, the camera device may be an infrared camera device; when the background server 20 adopts an algorithm of recognizing the color image to determine the health monitoring result of each of the livestock to be monitored, the image pickup apparatus may be a general color image pickup apparatus. In one example, the camera device can be a thermal imaging thermometry camera device, and can acquire a thermal imaging image of each livestock to be monitored so as to reflect the body temperature of each livestock to be monitored and acquire a color image of each livestock to be monitored so as to reflect the body surface condition of each livestock to be monitored.
Foretell livestock health monitoring system based on 5G can use in the livestock farm for the health condition of monitoring arbitrary kind livestock, like pig, ox, sheep, chicken, duck, goose, the accessible guide rail robot 10 patrols, each image of waiting to monitor the livestock of automatic acquisition, and grasp the growth health condition of each livestock through backend server 20 in real time, in time discover sick livestock, prevent the further diffusion of virus, thereby can reduce the mortality and the human cost of livestock, and then can reduce the breed cost. Meanwhile, the running track is arranged at a height higher than the maximum height of the livestock to be monitored, so that the guide rail robot 10 can run above the livestock to be monitored, mutual influence between the guide rail robot 10 and the livestock is avoided, and the acquisition efficiency and the success rate of images can be improved.
In one embodiment, the guideway robot 10 further includes a body and a lifting structure, wherein the body houses a control module. The body includes first side and the second side for the first side, and the first side mechanical connection of body has one end of guide rail, and the other end mechanical connection orbit of guide rail. Thus, the body can be driven by the guide rail to move along the running track, so that the structure arranged in or on the body or mechanically connected with the body can also move along with the body, and the driving of the whole guide rail robot 10 is realized.
The second side of body mechanical connection elevation structure's one end, elevation structure is provided with camera equipment on the other end, and elevation structure can be through the length of adjustment self to adjustment camera equipment's terrain clearance. Further, the lifting structure can be, but is not limited to, an automatic adjustment type lifting structure and a manual type lifting structure, and when the automatic adjustment type lifting structure is adopted, the lifting structure can be connected with the control module and lift the camera under the control of the control module.
So, can adjust camera equipment to suitable highly going up and shoot for shoot and obtain the livestock quantity and definition that the image can be balanced, thereby can be when improving the livestock quantity that each image includes, guarantee the definition of respectively treating the monitoring livestock in the monitoring image, and then can compromise monitoring efficiency and discernment degree of accuracy.
In one embodiment, the guide robot 10 may further include a cradle head, the cradle head is disposed between the lifting structure and the camera device, that is, one end of the lifting structure is mechanically connected to the second side of the body, the other end of the lifting structure is mechanically connected to the cradle head, and the camera device is disposed on the cradle head. The holder can be a supporting device for mounting and fixing the camera shooting device, and can be realized by adopting a fixed holder or an electric holder. So, accessible cloud platform fixed stay camera equipment improves camera equipment's stability, further improves monitoring image's definition.
In one embodiment, the guideway robot 10 may further include a driving module, which is a transmission device of the guideway robot 10 for adjusting a motion state of the robot. The driving module is electrically connected with the control module, receives the instruction sent by the control module, controls the motion state of the guide rail robot 10 according to the received instruction, and enables the guide rail robot 10 to move to a target position and acquire the image of the livestock to be monitored. Furthermore, the driving module can be arranged in the body to avoid the exposure of the connecting wire and reduce the influence of environmental factors on signal transmission.
In one embodiment, the guideway robot 10 may further include a communication module connected between the control module and the backend server 20, and the communication module may be electrically connected to the control module and communicatively connected to the backend server 20 to implement data interaction between the control module and the backend server 20. Further, the communication module may support any communication mode, such as any one or any combination of 2G, 3G, 4G, 5G, bluetooth, WIFI, and zigbee protocols. In one example, the communication module is a 5G communication module, so that information interaction can be completed through a higher network transmission speed, and the real-time performance of the livestock monitoring result is improved.
To facilitate understanding of the guided rail robot 10 of the present application, referring to fig. 2, the guided rail robot 10 includes a control module 110, a driving module 120, a 5G communication module 130, a body 140, a guide rail 150, a lifting structure 160, a holder 170, and a thermal imaging thermometry camera device 180.
The control module 110 completes the designated movement and function according to the movement instruction issued by the background server 20, that is, the control module 110 is configured to control the driving module 120 of the guide rail robot 10 according to the received movement instruction, so as to control the movement state of the guide rail robot 10, and enable the guide rail robot 10 to move to the target shooting point and obtain the image of the livestock to be monitored. The driving module 120 is a transmission device of the rail robot 10, and is used for adjusting a motion state of the robot. The 5G communication module 130 is configured to perform 5G communication with the background server 20 to implement data interaction, receive an instruction issued by the background server 20, and transmit an image to the background server 20. The control module 110 is electrically connected to the driving module 120, the image capturing device and the communication module, respectively, and the communication module is in communication connection with the background server 20.
The control module 110 may receive the motion instruction issued by the background server 20 through the communication module, generate a driving instruction according to the motion instruction, and send the driving instruction to the driving module 120. The driving module 120 adjusts the motion state of the guide rail robot 10, including but not limited to a static state, a moving speed, a moving acceleration, etc., under the instruction of the driving instruction, so that the guide rail robot 10 moves to each shooting point in sequence. When the guide rail robot 10 reaches a shooting point, the control module 110 may acquire a thermal imaging image of the livestock to be monitored through the thermal imaging temperature measurement camera device 180, and then transmit the thermal imaging image to the background server 20 through the 5G communication module 130.
The control module 110, the driving module 120, and the 5G communication module 130 are all disposed within the body 140, and the body 140 includes a first side and a second side opposite to the first side. The first end of guide rail 150 is connected to the first side machinery of body 140, and the second end machinery of guide rail 150 connects the orbit, and like this, accessible guide rail 150 drives body 140 and moves along the orbit for the structure that sets up in body 140, on body 140 or with body 140 mechanical connection also moves along with it, thereby realizes the drive of whole guide rail robot.
The second side of the body 140 is mechanically connected to one end of the lifting structure 160, the other end of the lifting structure 160 is connected to the cradle head 170, and the cradle head 170 is provided with a camera device. So, accessible elevation structure 160 adjusts camera equipment's terrain clearance, but makes camera equipment acquire monitoring image balance livestock quantity and definition to can guarantee the definition of each livestock in the monitoring image when improving the livestock quantity that each monitoring image includes, and then can compromise monitoring efficiency and identification accuracy. Meanwhile, the camera shooting equipment can be fixedly supported through the cloud deck 170, the stability of the camera shooting equipment is improved, and the definition of a monitored image is further improved.
In one embodiment, as shown in fig. 3, the 5G-based livestock health monitoring system further comprises a mobile terminal 30, and the mobile terminal 30 is electrically or communicatively connected with the background server 20. In one example, mobile terminal 30 may be communicatively coupled to backend server 20. Specifically, after the background server 20 processes the images of the livestock to be monitored by using the recognition algorithm in the prior art, the health monitoring results of the livestock to be monitored can be obtained, and if the health monitoring results indicate that any livestock has abnormal health conditions, the background server 20 can generate the early warning information. The mobile terminal 30 may be, but is not limited to, a personal computer, a notebook computer, a smart phone, a tablet computer, a portable wearable device, and the like, and may push the warning information generated by the background server 20 to the user, for example, through an APP on the mobile terminal 30. Therefore, early warning notification can be timely carried out when sick livestock are monitored, further diffusion of viruses is prevented, the death rate and the labor cost of the livestock can be reduced, and the breeding cost can be further reduced. Meanwhile, remote checking can be realized, so that the breeding personnel can further process the healthy abnormal livestock according to the livestock monitoring condition.
In one embodiment, as shown in fig. 4, the 5G-based livestock health monitoring system further comprises a display 40, and the display 40 may be connected to the backend server 20 by any means, such as but not limited to an electrical connection or a communication connection. In one example, display 40 may be electrically connected to backend server 20. Specifically, if the health monitoring result indicates that any livestock has abnormal health condition, the background server 20 generates the early warning information, and may display the early warning information on the display 40 to perform notification reminding. Further, the Web end of the background server 20 can push and display the early warning information on the display 40, so as to realize remote viewing, and thus, the breeding personnel can further process the healthy abnormal livestock according to the livestock monitoring condition. In addition, backend server 20 may also display the livestock growth status of the entire farm on display 40 and/or highlight healthy abnormal livestock. Therefore, early warning notification can be timely carried out when sick livestock are monitored, further diffusion of viruses is prevented, the death rate and the labor cost of the livestock can be reduced, and the breeding cost can be further reduced.
In one embodiment, the 5G-based livestock health monitoring system may further comprise a storage device, which is connected to the backend server 20. After the background server 20 generates the early warning information, the images corresponding to the abnormal healthy livestock and the positions of the abnormal healthy livestock in the images can be automatically stored through the storage device. Therefore, the monitoring images and the target positions corresponding to the abnormal healthy livestock are automatically stored, so that the tracing and the information query can be facilitated.
In the description herein, references to the description of "some embodiments," "other embodiments," "desired embodiments," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, a schematic description of the above terminology may not necessarily refer to the same embodiment or example.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the utility model. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A5G-based livestock health monitoring system, comprising:
the running track is arranged at a height greater than the maximum height of the livestock to be monitored;
the guide rail robot comprises a guide rail, a control module and camera equipment electrically connected with the control module; the guide rail is mechanically connected with the running track so that the guide rail robot can fixedly run on the running track;
and the background server is connected with the control module and is used for monitoring the livestock to be monitored through the control module and the camera equipment.
2. The 5G-based livestock health monitoring system of claim 1, wherein said rail robot further comprises a body and a lifting structure;
the control module is accommodated in the body, one side of the body is mechanically connected with the guide rail, and the other side of the body is mechanically connected with one end of the lifting structure; the other end of the lifting structure is provided with the camera shooting device.
3. The 5G-based livestock health monitoring system of claim 2, wherein said rail robot further comprises a pan-tilt; the cloud platform sets up between elevation structure with camera equipment.
4. The 5G-based livestock health monitoring system of claim 1, wherein said rail robot further comprises a drive module; the driving module is electrically connected with the control module.
5. The 5G-based livestock health monitoring system of any of claims 1-4, wherein said rail robot further comprises a communications module; the communication module is electrically connected with the control module and is in communication connection with the background server.
6. The 5G-based livestock health monitoring system of claim 5, wherein said communication module is a 5G communication module.
7. A5G-based livestock health monitoring system according to any of claims 1 to 4, characterized in that said camera device is a thermal imaging thermometry camera device.
8. The 5G-based livestock health monitoring system of any of claims 1 through 4, wherein said 5G-based livestock health monitoring system further comprises a mobile terminal;
the mobile terminal is connected with the background server and used for pushing the early warning information transmitted by the background server.
9. The 5G-based livestock health monitoring system of any of claims 1 through 4, wherein said 5G-based livestock health monitoring system further comprises a display;
the display is connected with the background server and used for displaying the early warning information transmitted by the background server.
10. The 5G-based livestock health monitoring system of any of claims 1-4, wherein said rail robot is a hanging-upside-down rail robot.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202022510947.0U CN213303053U (en) | 2020-11-03 | 2020-11-03 | Livestock health monitoring system based on 5G |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202022510947.0U CN213303053U (en) | 2020-11-03 | 2020-11-03 | Livestock health monitoring system based on 5G |
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| CN213303053U true CN213303053U (en) | 2021-05-28 |
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| CN202022510947.0U Expired - Fee Related CN213303053U (en) | 2020-11-03 | 2020-11-03 | Livestock health monitoring system based on 5G |
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