CN116708522A - Visual management system of long-range pasture - Google Patents
Visual management system of long-range pasture Download PDFInfo
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K29/00—Other apparatus for animal husbandry
- A01K29/005—Monitoring or measuring activity, e.g. detecting heat or mating
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K7/00—Watering equipment for stock or game
- A01K7/02—Automatic devices ; Medication dispensers
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K7/00—Watering equipment for stock or game
- A01K7/02—Automatic devices ; Medication dispensers
- A01K7/027—Drinking equipment with water heaters, coolers or means for preventing freezing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/70—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in livestock or poultry
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Abstract
The application discloses a remote intelligent pasture visual management system, which relates to the technical field of pasture management. According to the intelligent pasture management system, through the video monitoring module, the sensor module, the intelligent regulation and control module, the intelligent feeding equipment, the intelligent monitoring collar, the cloud server and the remote monitoring terminal, video information, environment information, equipment running state information of pastures, positioning information and physiological state information of livestock can be obtained, intelligent analysis processing is carried out on the data, remote regulation and control and visual display are carried out according to analysis results, the pasture management is digitalized and more accurate, the manpower investment is reduced, the labor force is liberated, and the pasture management efficiency is improved.
Description
Technical Field
The application relates to the technical field of livestock management, in particular to a remote pasture visual management system.
Background
Animal husbandry refers to the production sector of raising livestock to obtain animal products or work animals, either by grazing, by rearing, or by a combination of both. It includes livestock raising, poultry raising, economical animal domestication, etc. The natural stocking mode ensures that the meat of the livestock is delicious, but the natural stocking also ensures that the livestock is lost frequently, thus causing economic loss to herders.
At present, in pastures combining grazing and containment, effective management and control of livestock in the pastures are lacking, and most of the livestock are driven by manpower to graze, and the livestock are still in an original artificial breeding stage. The livestock and resources in the pasture are not reasonably and effectively intelligently controlled, so that the efficiency of the livestock breeding is still lower while a large amount of manpower and material resources are occupied by the livestock breeding.
Aiming at the related technology, the inventor considers that the pasture livestock breeding mode lacks intelligent management, so that the efficiency of the livestock breeding is still lower while a great amount of manpower and material resources are occupied by the livestock breeding.
Disclosure of Invention
Aiming at the defects in the prior art, the application provides a remote pasture visual management system.
A remote intelligent pasture visualization management system, comprising: the cloud monitoring system comprises a field monitoring terminal, a cloud server and an intelligent monitoring terminal, wherein the field monitoring terminal, the cloud server and the intelligent monitoring terminal are sequentially connected;
the on-site monitoring terminal comprises an intelligent controller, a sensor module connected with the intelligent controller, a video monitoring module, an intelligent regulation and control module and an intelligent monitoring collar; the sensor module is used for collecting environmental information inside and outside the livestock house and running state information of the feeding equipment; the intelligent regulation and control module is used for controlling the intelligent feeding equipment to work according to the control signal generated by the intelligent controller; the video monitoring module is used for collecting video information of the inside and the outside of the livestock house; the intelligent monitoring collar is worn at the neck of the livestock and is used for recording and monitoring physiological information and position information of the livestock; the cloud server is used for acquiring the environment information, the running state information, the video information and the position information, and analyzing and processing according to the environment information, the running state information, the video information and the position information; the on-site monitoring terminal is used for visually displaying the running state information of the feeding equipment and the video information, health state and position information of livestock.
Preferably, the intelligent monitoring collar comprises a microcontroller, a battery, a step counting chip, a temperature sensor, an acceleration sensor and a wireless communication module, wherein the battery, the step counting chip, the temperature sensor, the acceleration sensor and the wireless communication module are connected with the microcontroller; the battery is used for providing a power supply for intelligently monitoring the normal operation of the necklace, the step counting chip is used for measuring the movement steps of the livestock, the temperature sensor is used for measuring the body temperature of the livestock, and the acceleration sensor is used for measuring the acceleration of the livestock; and the wireless communication module transmits the body temperature data and the exercise step number data to the cloud server in a wireless communication mode.
Preferably, the sensor module comprises one or more of a temperature sensor, a humidity sensor, a water level sensor, a current sensor and a voltage sensor; the intelligent feeding equipment comprises one or more of an intelligent gate, an intelligent feeding machine, a fan, a rolling curtain, a micro-combustion engine and a water pump.
Preferably, the water level sensor comprises a first water level sensor arranged in the pasture water trough and a second water level sensor arranged in the pasture water well, and is used for detecting the water level in the pasture water trough and the water level in the pasture water well respectively; the intelligent controller is used for generating a water adding instruction when the water level of the pasture water trough is lower than a preset value, sending the water adding instruction to the intelligent regulation module, and controlling the water pump to add water into the pasture water trough through the intelligent regulation module.
Preferably, the temperature sensor comprises a temperature sensor arranged in the pasture water drinking trough and is used for detecting the water temperature of the pasture water drinking trough, the intelligent controller is used for generating a temperature regulating instruction when the temperature of the pasture water drinking trough is lower than a preset value, sending the temperature regulating instruction to the intelligent regulation module, and controlling the temperature regulating equipment to regulate the temperature of the pasture water drinking trough through the intelligent regulation module.
Preferably, the cloud server comprises a first health management module, wherein the first health management module comprises a first data acquisition module, a first data processing module and a first feature identification module;
the first data acquisition module is used for acquiring physiological information of livestock, running state information of feeding equipment and video information, and acquiring feeding information of the livestock in a target time period according to the running state information and the video information, wherein the physiological information comprises acceleration information of the livestock in the target time period; the first data processing module is used for carrying out noise reduction processing on the acceleration information to obtain an acceleration sequence in a target time period, and carrying out noise reduction processing on the feeding information to obtain a feeding sequence in the target time period; determining a segmentation parameter according to the feeding sequence, segmenting the acceleration sequence into a plurality of acceleration subsequences according to the segmentation parameter, and calculating acceleration characteristic values of the acceleration subsequences to obtain an acceleration characteristic sequence; the first feature recognition module is used for inputting the acceleration feature sequence and the feeding sequence into a pre-constructed livestock behavior recognition model to obtain livestock behavior recognition results, wherein the livestock behavior recognition results comprise pregnancy and oestrus.
Preferably, the cloud server comprises a second health analysis module, wherein the second health analysis module comprises a first data acquisition module, a second data processing module, a second feature recognition module and a health state evaluation module;
the second data acquisition module is used for acquiring physiological information of livestock; the second data processing module is used for preprocessing the physiological information and extracting corresponding physiological characteristics from the preprocessed physiological information; the second feature analysis module is used for inputting the physiological features into the corresponding physiological feature recognition model to obtain physiological state quantity, and the health state evaluation module is used for inputting the physiological state quantity into the health evaluation model to obtain health state grade and corresponding unhealthy category.
Preferably, the location management module comprises a virtual electronic fence configuration module; the virtual electronic fence configuration module is used for uniformly selecting a plurality of points in a target area, and determining virtual electronic fences with a plurality of security levels and position information corresponding to the virtual electronic fences according to the plurality of points.
Preferably, the location management module further comprises a livestock location determination module; the livestock position determining module is used for acquiring position information of livestock, determining a position relation between the position information of the livestock and the virtual electronic fence, and determining the safety level of the position of the livestock according to the position relation.
Preferably, the visual management module comprises a video visual module, a health visual module and a position visual module; the video visualization module is used for displaying video monitoring equipment information and corresponding video data, wherein the video monitoring equipment information comprises equipment numbers and positions; the health visualization module is used for displaying the pregnancy, oestrus and other abnormal conditions of the livestock through a chart; the position visualization module is used for displaying the position relation and the security level through a chart, and performing abnormal alarm when the security level is lower than a preset value.
The beneficial effects of the application are as follows:
1) The video monitoring of livestock in pastures and the video monitoring of intelligent feeding equipment are realized through the video monitoring module;
2) Through the cooperation of the sensor module, the intelligent regulation and control module and the intelligent feeding equipment, the intelligent environment information and the remote sensing and regulation and control of the running state of the feeding equipment are realized;
3) The intelligent monitoring collar realizes real-time acquisition of the position information and the physiological information of the livestock, and realizes remote monitoring of the livestock;
4) The intelligent analysis processing of the video information, the environment information, the equipment running state information, the positioning information and the physiological state information is realized through the cloud server;
5) The visual display and the multistage abnormal alarm of the intelligent analysis result are realized through the remote monitoring terminal.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. Like elements or portions are generally identified by like reference numerals throughout the several figures. In the drawings, elements or portions thereof are not necessarily drawn to scale.
Fig. 1 is a schematic structural diagram of a remote intelligent pasture visual management system according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a cloud server according to an embodiment of the present application.
Detailed Description
Embodiments of the technical scheme of the present application will be described in detail below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present application, and thus are merely examples, and are not intended to limit the scope of the present application.
It is noted that unless otherwise indicated, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this application belongs.
As shown in fig. 1, a remote intelligent pasture visual management system includes: the cloud monitoring system comprises a field monitoring terminal, a cloud server and an intelligent monitoring terminal, wherein the field monitoring terminal, the cloud server and the intelligent monitoring terminal are sequentially connected; the on-site monitoring terminal comprises an intelligent controller, a sensor module connected with the intelligent controller, a video monitoring module, an intelligent regulation and control module and an intelligent monitoring collar; the sensor module is used for collecting environmental information inside and outside the livestock house and running state information of the feeding equipment; the intelligent regulation and control module is used for controlling the intelligent feeding equipment to work according to the control signal generated by the intelligent controller; the video monitoring module is used for collecting video information of the inside and the outside of the livestock house; the intelligent monitoring collar is worn at the neck of the livestock and is used for recording and monitoring physiological information and position information of the livestock; the cloud server is used for acquiring the environment information, the running state information, the video information and the position information, and analyzing and processing according to the environment information, the running state information, the video information and the position information; the on-site monitoring terminal is used for visually displaying the running state information of the feeding equipment and the video information, health state and position information of livestock.
In summary, the remote intelligent pasture visual management system provided by the embodiment of the application can acquire video information, environment information, equipment running state information and positioning information and physiological state information of livestock of a pasture through the video monitoring module, the sensor module, the intelligent regulation and control module, the intelligent feeding equipment, the intelligent monitoring collar, the cloud server and the remote monitoring terminal, and perform intelligent analysis processing on the data, and perform remote regulation and control and visual display according to analysis results, so that the pasture management is digitized and more accurate, the labor investment is reduced, the labor force is liberated, and the pasture management efficiency is improved.
In the embodiment of the application, the intelligent monitoring necklace comprises a microcontroller, and a battery, a step counting chip, a temperature sensor, an acceleration sensor and a wireless communication module which are connected with the microcontroller; the battery is used for providing a power supply for intelligently monitoring the normal operation of the necklace, the step counting chip is used for measuring the movement steps of the livestock, the temperature sensor is used for measuring the body temperature of the livestock, and the acceleration sensor is used for measuring the acceleration of the livestock; and the wireless communication module transmits the body temperature data and the exercise step number data to the cloud server in a wireless communication mode.
Wherein the battery is a rechargeable battery; the wireless communication module is a multimode communication module, and the multimode communication module comprises a LoRa wireless communication module. Specifically, the ear tag+the subcutaneously implanted radio frequency technology (radio frequency identification, RFID) tag is often used for acquiring the position information and the physiological information of the livestock, but the intelligent monitoring collar is selected as the positioning device and the physiological information acquisition device because the ear tag is easy to fall off and the RFID tag implanted on the livestock affects the meat quality.
In the embodiment of the application, the sensor module comprises one or more of a temperature sensor, a humidity sensor, a water level sensor, a current sensor and a voltage sensor; the intelligent feeding equipment comprises one or more of an intelligent gate, an intelligent feeding machine, a fan, a rolling curtain, a micro-combustion engine and a water pump.
In the embodiment of the application, the water level sensor comprises a first water level sensor arranged in a pasture water drinking trough and a second water level sensor arranged in a pasture water well, which are respectively used for detecting the water level in the pasture water drinking trough and the water level in the pasture water well; the intelligent controller is used for generating a water adding instruction when the water level of the pasture water trough is lower than a preset value, sending the water adding instruction to the intelligent regulation module, and controlling the water pump to add water into the pasture water trough through the intelligent regulation module.
In the embodiment of the application, the temperature sensor comprises a temperature sensor arranged in the pasture water drinking trough and is used for detecting the water temperature of the pasture water drinking trough, the intelligent controller is used for generating a temperature regulating instruction when the temperature of the pasture water drinking trough is lower than a preset value, the temperature regulating instruction is sent to the intelligent regulation module, and the temperature regulating module is used for controlling the temperature regulating equipment to regulate the temperature of the pasture water drinking trough.
Through sensor module, intelligent regulation and control module and intelligent feeding equipment, can realize intelligent feeding equipment running state's long-range perception and regulation and control, improve the intelligent degree of pasture.
As shown in fig. 2, in an embodiment of the present application, the cloud server includes a first health management module, where the first health management module includes a first data acquisition module, a first data processing module, and a first feature identification module; the first data acquisition module is used for acquiring physiological information of livestock, running state information of feeding equipment and video information, and acquiring feeding information of the livestock in a target time period according to the running state information and the video information, wherein the physiological information comprises acceleration information of the livestock in the target time period; the first data processing module is used for carrying out noise reduction processing on the acceleration information to obtain an acceleration sequence in a target time period, and carrying out noise reduction processing on the feeding information to obtain a feeding sequence in the target time period; determining a segmentation parameter according to the feeding sequence, segmenting the acceleration sequence into a plurality of acceleration subsequences according to the segmentation parameter, and calculating acceleration characteristic values of the acceleration subsequences to obtain an acceleration characteristic sequence; the first feature recognition module is used for inputting the acceleration feature sequence and the feeding sequence into a pre-constructed livestock behavior recognition model to obtain livestock behavior recognition results, wherein the livestock behavior recognition results comprise pregnancy and oestrus.
In order to improve the accuracy of the data, the acceleration data and the meal data need to be subjected to noise reduction processing, and in the embodiment of the application, a smoothing processing method of wavelet denoising is mainly adopted for the noise reduction processing. Specifically, wavelet transformation is performed on acceleration data and feeding data to obtain wavelet-classified coefficients, thresholding is performed on the wavelet-classified high-frequency coefficients to obtain high-frequency coefficient estimated coefficients, and signal reconstruction is performed on the estimated coefficients and the low-frequency coefficients to obtain denoised signal values, so that the purpose of noise reduction is achieved.
In order to better correlate the eating data with the acceleration data, the embodiment of the present application segments the acceleration data based on the eating data to construct the characteristic data for each sequence sub-block.
In the embodiment of the application, the cloud server comprises a second health analysis module, wherein the second health analysis module comprises a first data acquisition module, a second data processing module, a second feature identification module and a health state evaluation module; the second data acquisition module is used for acquiring physiological information of livestock; the second data processing module is used for preprocessing the physiological information and extracting corresponding physiological characteristics from the preprocessed physiological information; the second feature analysis module is used for inputting the physiological features into the corresponding physiological feature recognition model to obtain physiological state quantity, and the health state evaluation module is used for inputting the physiological state quantity into the health evaluation model to obtain health state grade and corresponding unhealthy category.
In order to improve the accuracy of the data, the physiological information needs to be subjected to noise reduction processing, and the method of the noise reduction processing in the embodiment of the application comprises but is not limited to wavelet noise reduction.
A plurality of models are stored in a database of the embodiment of the application, including but not limited to a physiological characteristic recognition model and a health assessment model, wherein the physiological characteristic recognition model includes but not limited to a temperature characteristic recognition model and a movement behavior characteristic recognition model, and the health assessment model includes but not limited to a temperature health assessment model and a movement behavior health assessment model.
Illustratively, the athletic performance feature recognition model is used for realizing performance features of livestock, where the performance features include lying down, standing up, walking, running, etc., and duration information, speed information, etc. corresponding to each performance. The athletic performance health assessment model is used for acquiring each behavior and the characteristic information corresponding to the behavior, judging whether each behavior is normal according to the characteristic information of each behavior, and judging whether livestock is healthy according to the judging result of each behavior.
In the embodiment of the application, the position management module comprises a virtual electronic fence configuration module; the virtual electronic fence configuration module is used for uniformly selecting a plurality of points in a target area, and determining virtual electronic fences with a plurality of security levels and position information corresponding to the virtual electronic fences according to the plurality of points.
In the embodiment of the application, the position management module further comprises a livestock position determination module; the livestock position determining module is used for acquiring position information of livestock, determining a position relation between the position information of the livestock and the virtual electronic fence, and determining the safety level of the position of the livestock according to the position relation.
The traditional electronic fence is also required to be installed on a pasture, so that the use cost is increased, physiological or psychological injury is caused to the livestock touching the net, therefore, the embodiment of the application adopts the virtual electronic fence to monitor the position of the livestock, the deficiency of the traditional electronic fence is abandoned by the virtual electronic fence, the virtual electronic fence is formed by the geographical coordinate sketching, the livestock is coordinated, whether the livestock is in the pasture range or not is judged by a preset livestock in-fence judging algorithm, when the livestock moving range exceeds the pasture range, the virtual electronic fence gives an early warning, reminds a raiser to accurately lock the livestock in time to locate and drive the livestock to return to the pasture range, and therefore effective monitoring and management of the livestock position are realized.
Specifically, the livestock in-fence judging algorithm comprises a cross multiplication judging method, an area judging method, an angle and judging method, a horizontal crossing point judging method, a vertical crossing point judging method and the like.
In order to further improve the accuracy of the livestock in-fence judging algorithm, the accuracy of the acquired livestock positioning information needs to be improved, the traditional livestock positioning information is acquired through a GPS, and the GPS accuracy is low.
And identifying abnormal position conditions of the livestock according to the result of the judgment in the fence, for example, if the position of the livestock is kept unchanged for 2 hours, judging that the intelligent monitoring collar is lost, if the geographic coordinates of the livestock are out of the pasture range, judging that the livestock are beyond the pasture safety range, and carrying out multi-level abnormal alarm according to the beyond of the safety range.
In the embodiment of the application, the visual management module comprises a video visual module, a health visual module and a position visual module; the video visualization module is used for displaying video monitoring equipment information and corresponding video data, wherein the video monitoring equipment information comprises equipment numbers and positions; the health visualization module is used for displaying the pregnancy, oestrus and other abnormal conditions of the livestock through a chart; the position visualization module is used for displaying the position relation and the security level through a chart, and performing abnormal alarm when the security level is lower than a preset value. By arranging the visualization module, visual management of pastures is realized.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the application, and are intended to be included within the scope of the appended claims and description.
Claims (10)
1. The remote intelligent pasture visual management system is characterized by comprising a field monitoring terminal, a cloud server and an intelligent monitoring terminal, wherein the field monitoring terminal, the cloud server and the remote monitoring terminal are sequentially connected;
the on-site monitoring terminal comprises an intelligent controller, a sensor module connected with the intelligent controller, a video monitoring module, an intelligent regulation and control module and an intelligent monitoring collar; the sensor module is used for collecting environmental information inside and outside the livestock house and running state information of the feeding equipment; the intelligent regulation and control module is used for controlling the intelligent feeding equipment to work according to the control signal generated by the intelligent controller; the video monitoring module is used for collecting video information of the inside and the outside of the livestock house; the intelligent monitoring collar is worn at the neck of the livestock and is used for recording and monitoring physiological information and position information of the livestock; the cloud server is used for acquiring the environment information, the running state information, the video information and the position information, and analyzing and processing according to the environment information, the running state information, the video information and the position information; the on-site monitoring terminal is used for visually displaying the running state information of the feeding equipment and the video information, health state and position information of livestock.
2. The remote intelligent pasture visualization management system of claim 1, wherein the intelligent monitoring collar comprises a microcontroller and a battery, a step counting chip, a temperature sensor, an acceleration sensor and a wireless communication module connected with the microcontroller; the battery is used for providing a power supply for intelligently monitoring the normal operation of the necklace, the step counting chip is used for measuring the movement steps of the livestock, the temperature sensor is used for measuring the body temperature of the livestock, and the acceleration sensor is used for measuring the acceleration of the livestock; and the wireless communication module transmits the body temperature data and the exercise step number data to the cloud server in a wireless communication mode.
3. The remote intelligent pasture visualization management system of claim 1, wherein the sensor module comprises one or more of a temperature sensor, a humidity sensor, a water level sensor, a current sensor, and a voltage sensor; the intelligent feeding equipment comprises one or more of a feeding machine, a fan, a roller shutter, a micro-combustion engine and a water pump.
4. A remote intelligent pasture visual management system according to claim 3, wherein the water level sensor comprises a first water level sensor arranged in a pasture drinking water tank and a second water level sensor arranged in a pasture water well for detecting the water level in the pasture drinking water tank and the water level in the pasture water well, respectively; the intelligent controller is used for generating a water adding instruction when the water level of the pasture water trough is lower than a preset value, sending the water adding instruction to the intelligent regulation module, and controlling the water pump to add water into the pasture water trough through the intelligent regulation module.
5. The remote intelligent pasture visual management system according to claim 1, wherein the temperature sensor comprises a temperature sensor arranged in the pasture water drinking trough and used for detecting the water temperature of the pasture water drinking trough, the intelligent controller is used for generating a temperature regulating instruction when the temperature of the pasture water drinking trough is lower than a preset value, the temperature regulating instruction is sent to the intelligent regulation module, and the temperature regulating module is used for controlling the temperature regulating equipment to regulate the temperature of the pasture water drinking trough.
6. The remote intelligent pasture visualization management system of claim 1, wherein the cloud server comprises a first health management module comprising a first data acquisition module, a first data processing module, a first feature identification module;
the first data acquisition module is used for acquiring physiological information of livestock, running state information of feeding equipment and video information, and acquiring feeding information of the livestock in a target time period according to the running state information and the video information, wherein the physiological information comprises acceleration information of the livestock in the target time period; the first data processing module is used for carrying out noise reduction processing on the acceleration information to obtain an acceleration sequence in a target time period, and carrying out noise reduction processing on the feeding information to obtain a feeding sequence in the target time period; determining a segmentation parameter according to the feeding sequence, segmenting the acceleration sequence into a plurality of acceleration subsequences according to the segmentation parameter, and calculating acceleration characteristic values of the acceleration subsequences to obtain an acceleration characteristic sequence; the first feature recognition module is used for inputting the acceleration feature sequence and the feeding sequence into a pre-constructed livestock behavior recognition model to obtain livestock behavior recognition results, wherein the livestock behavior recognition results comprise pregnancy and oestrus.
7. The remote intelligent pasture visualization management system of claim 1, wherein the cloud server comprises a second health analysis module comprising a first data acquisition module, a second data processing module, a second feature identification module, and a health status assessment module;
the second data acquisition module is used for acquiring physiological information of livestock; the second data processing module is used for preprocessing the physiological information and extracting corresponding physiological characteristics from the preprocessed physiological information; the second feature analysis module is used for inputting the physiological features into the corresponding physiological feature recognition model to obtain physiological state quantity, and the health state evaluation module is used for inputting the physiological state quantity into the health evaluation model to obtain health state grade and corresponding unhealthy category.
8. The remote intelligent pasture visualization management system of claim 8, wherein the location management module comprises a virtual electronic fence configuration module; the virtual electronic fence configuration module is used for uniformly selecting a plurality of points in a target area, and determining virtual electronic fences with a plurality of security levels and position information corresponding to the virtual electronic fences according to the plurality of points.
9. The remote intelligent rangeland visualization management system of claim 8, wherein the location management module further comprises a livestock location determination module; the livestock position determining module is used for acquiring position information of livestock, determining a position relation between the position information of the livestock and the virtual electronic fence, and determining the safety level of the position of the livestock according to the position relation.
10. The remote intelligent pasture visualization management system of claim 9, wherein the visualization management module comprises a video visualization module, a health visualization module, and a location visualization module; the video visualization module is used for displaying video monitoring equipment information and corresponding video data, wherein the video monitoring equipment information comprises equipment numbers and positions; the health visualization module is used for displaying the pregnancy, oestrus and other abnormal conditions of the livestock through a chart; the position visualization module is used for displaying the position relation and the security level through a chart, and performing abnormal alarm when the security level is lower than a preset value.
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| CN117557075A (en) * | 2024-01-11 | 2024-02-13 | 西安市临潼区任留畜牧兽医站 | Intelligent management system for animal husbandry production management |
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| CN117557075B (en) * | 2024-01-11 | 2024-04-26 | 西安市临潼区任留畜牧兽医站 | Intelligent management system for animal husbandry production management |
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