CN111528858A - Remote monitoring method and device for livestock movement, storage medium and electronic device - Google Patents
Remote monitoring method and device for livestock movement, storage medium and electronic device Download PDFInfo
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- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
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Abstract
The invention provides a method and a device for remotely monitoring the movement of livestock, a storage medium and an electronic device, wherein the method comprises the steps of collecting first activity parameters of the livestock, wherein the first activity parameters refer to movement gait parameters of the livestock, which are detected by one or more sensors arranged on the living bodies of the livestock; receiving the result of the division of the motion state of the livestock according to the first activity parameter, which is sent by the upper computer, wherein the result of the division of the motion state at least comprises one of the following results: the rest state and the activity state of the livestock; the invention solves the problems that the data obtained by remote monitoring is inaccurate and continuous and real-time monitoring can not be carried out on the individual movement behaviors of the livestock, thereby achieving the effects of continuously recording the movement states of the livestock in real time and accurately determining which livestock is in a poor health state.
Description
Technical Field
The invention relates to the field of remote monitoring, in particular to a remote monitoring method and device for livestock movement, a storage medium and an electronic device.
Background
In the livestock breeding production activity, the health state change of livestock is accurately monitored in real time, abnormal behaviors can be accurately diagnosed in time, and the method has very important economic significance for improving the breeding level of livestock.
When through remote monitoring, the camera covers there is the blind area, can't accurately carry out complete monitoring to the state of livestock. Meanwhile, the image collected by the camera is greatly influenced by external light, and the state of the livestock cannot be accurately distinguished. In addition, when a large amount of labor cost is consumed by manual monitoring, the health state of the livestock cannot be determined in a remote monitoring mode.
Aiming at the problems that data acquired by remote monitoring in the related technology is inaccurate and continuous and real-time monitoring can not be carried out on the individual movement behaviors of livestock, an effective solution does not exist at present.
Disclosure of Invention
The embodiment of the invention provides a remote monitoring method and device for livestock movement, a storage medium and an electronic device, which at least solve the problems that data acquired by remote monitoring in the related technology is inaccurate and continuous and real-time monitoring cannot be performed on individual movement behaviors of livestock.
According to an embodiment of the invention, there is provided a method of remote monitoring of animal movement, comprising: acquiring first activity parameters of the livestock, wherein the first activity parameters refer to movement gait parameters of the livestock activity detected by one or more sensors installed on the living bodies of the livestock; receiving the result of the division of the motion state of the livestock according to the first activity parameter, which is sent by the upper computer, wherein the result of the division of the motion state at least comprises one of the following results: the rest state and the activity state of the livestock; and responding to the motion state division result, and performing remote monitoring and early warning prompt.
In an alternative embodiment of the invention, acquiring first activity parameters of the animal comprises: determining a first frequency range according to the movement gait parameters of the livestock activity, wherein the first frequency range is used for indicating the frequency range in which the step frequency area of the livestock is located in the acquired original signals; and in the first frequency range, obtaining a second frequency range according to a preset time window, wherein the second frequency range is used for indicating the frequency range of the step frequency region in the preset time window range.
In an alternative embodiment of the invention, after acquiring the first activity parameter of the animal, the method comprises: when the motion gait parameter is in a preset time window and is positioned at a wave crest or a wave trough, counting the times of occurrence of the wave crest or the wave trough; and recording the acceleration value in the motion gait parameter under the condition that a peak and a trough appear in a preset gait cycle and correspond to an ascending interval and a descending interval, wherein the preset gait cycle is used as a stepping cycle of the livestock.
In an alternative embodiment of the invention, after acquiring the first activity parameter of the animal, the method comprises: when the acceleration value in the motion gait parameter is in a rising interval and the acceleration value is a first extreme value, resetting the rising time of the acceleration within a first rising time range, wherein the first extreme value is used for indicating a numerical value of the acceleration value when the acceleration value reaches a peak, and the first rising time range is used for indicating that the time taken by the acceleration value when the acceleration value reaches the peak is within a preset range; and clearing the descending time of the acceleration value within a first descending time range under the condition that the acceleration value is not in a rising interval and the acceleration value is a second extreme value, wherein the second extreme value is used for indicating the value of the acceleration value when reaching the valley, and the first descending time range is used for indicating the time of the acceleration value when reaching the valley to be within a preset range.
In an optional embodiment of the present invention, in a case where the acceleration value is in a rising interval and the acceleration is a first extreme value, increasing a rising time of the acceleration value within a second rising time range by a first sampling time, wherein the second rising time range is used for indicating that a time taken by the acceleration value when reaching the peak is not within a preset range; and under the condition that the acceleration value is not in the rising interval and is a second extreme value, increasing the falling time of the acceleration value in a second falling time range by first sampling time, wherein the second falling time range is used for indicating that the time taken by the acceleration value when reaching the trough is not in a preset range.
In an alternative embodiment of the invention, after acquiring the first activity parameter of the animal, the method comprises: acquiring a first extreme value and a second extreme value of the acceleration value in the motion gait parameter, wherein the first extreme value is used for indicating the value of the acceleration value at the peak, and the second extreme value is used for indicating the value of the acceleration value at the valley; and under the condition that the absolute value of the difference value of the first extreme value and the second extreme value is larger than a threshold value, determining to save or not save the first extreme value and the second extreme value according to a third extreme value of the acceleration values in the moving gait parameters, wherein the third extreme value is used for indicating the value of the acceleration values at the trough or the peak.
In an optional embodiment of the invention, the receiving the result of the division of the animal's motion state according to the first activity parameter sent by the upper computer comprises: receiving the division result of the upper computer on the motion state of the livestock according to the livestock living body corresponding to the unique identification ID; responding to the motion state division result, and performing remote monitoring and early warning prompt comprises the following steps: and responding to the division result that the rest state of the livestock in the motion state division result is abnormal, and performing remote monitoring and early warning prompt.
According to another embodiment of the present invention there is provided a device for remote monitoring of animal movement for mounting on a living animal body, comprising: the acceleration sensor is used for acquiring the motion acceleration of the living livestock, wherein the motion acceleration comprises acceleration information of the living livestock in the vertical direction during motion; the microprocessor is used for processing the motion acceleration and converting the motion acceleration into a motion gait corresponding to the living livestock body; wherein the moving gait includes gait step information of the living livestock body; the wireless communication module is used for synchronously transmitting the movement gait; and the luminous alarm is used for responding to the received division result of the motion state of the living livestock according to the motion gait to carry out remote monitoring and early warning prompt.
According to a further embodiment of the present invention, there is also provided a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the above method embodiments when executed.
According to yet another embodiment of the present invention, there is also provided an electronic device, including a memory in which a computer program is stored and a processor configured to execute the computer program to perform the steps in any of the above method embodiments.
According to the invention, the motion gait parameters of each livestock are collected in real time and uploaded to the upper computer, and the remote monitoring and early warning prompt is carried out by responding to the motion state division result sent by the upper computer. Not only the whole real-time remote monitoring of the livestock is completed, but also the accurate record of the motion state of each individual livestock can be realized. Therefore, the problems that data acquired by remote monitoring are inaccurate and continuous and real-time monitoring cannot be carried out on the movement behaviors of the individual livestock can be solved, and the effects of continuously recording the movement states of the livestock in real time and accurately determining which livestock is in a poor health state are achieved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a block diagram of a hardware structure of a mobile terminal of a remote monitoring method for livestock movement according to an embodiment of the present invention;
fig. 2 is a flow chart of a method of remote monitoring of animal movement according to an embodiment of the invention;
fig. 3 is a block diagram of a remote monitoring device for animal movement according to an embodiment of the invention;
fig. 4 is an external structural schematic view (vertical side) of a remote monitoring device for animal movement according to an embodiment of the invention;
fig. 5 is an external structural schematic view (perspective) of a remote monitoring device for livestock movement according to an alternative embodiment of the invention;
fig. 6 is a schematic view (horizontal side) of the external structure of a remote monitoring device for animal movement according to an alternative embodiment of the invention.
Detailed Description
The invention will be described in detail hereinafter with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
Example 1
The method provided by the first embodiment of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. Taking the example of the operation on a mobile terminal, fig. 1 is a hardware structure block diagram of the mobile terminal of the livestock movement remote monitoring method according to the embodiment of the invention. As shown in fig. 1, the mobile terminal 10 may include one or more (only one shown in fig. 1) processors 102 (the processor 102 may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data, and optionally may also include a transmission device 106 for communication functions and an input-output device 108. It will be understood by those skilled in the art that the structure shown in fig. 1 is only an illustration, and does not limit the structure of the mobile terminal. For example, the mobile terminal 10 may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
The memory 104 may be used for storing computer programs, for example, software programs and modules of application software, such as a computer program corresponding to the method for remotely monitoring the movement of livestock in the embodiment of the present invention, and the processor 102 executes various functional applications and data processing by running the computer programs stored in the memory 104, so as to implement the method. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the mobile terminal 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission device 106 is used for receiving or transmitting data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the mobile terminal 10. In one example, the transmission device 106 includes a Network adapter (NIC), which can be connected to other Network devices through a base station so as to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
In the present embodiment, a remote monitoring method for livestock movement operated on the mobile terminal is provided, fig. 2 is a flowchart of the remote monitoring method for livestock movement according to the embodiment of the present invention, as shown in fig. 2, the flowchart includes the following steps:
step S202, collecting first activity parameters of livestock, wherein the first activity parameters refer to movement gait parameters of the livestock activity detected by one or more sensors arranged on the living bodies of the livestock;
step S204, receiving the division result of the motion state of the livestock sent by the upper computer according to the first activity parameter, wherein the division result of the motion state at least comprises one of the following results: the rest state and the activity state of the livestock;
and step S206, responding to the motion state division result, and performing remote monitoring and early warning prompt.
During specific execution, the moving gait parameters of each livestock activity are acquired and detected by one or more sensors arranged on the living bodies of the livestock, and then the moving gait parameters are processed and sent to an upper computer. And performing remote monitoring and early warning prompt by responding to the motion state division result sent by the receiving upper computer. Because the upper computer has an accumulated value, when the accumulated value reaches a preset threshold value, the motion state division result is sent down, the motion state division result comprises the rest state of the livestock and the activity state of the livestock, if the activity state of the livestock is lower, the remote monitoring and early warning prompt can be carried out, or if the rest state of the livestock is higher, the remote monitoring and early warning prompt can also be carried out. The movement gait parameters of the livestock at each time are collected, so that the requirement of remote monitoring real-time performance can be met, and whether to trigger notification for further operation of early warning or not can be judged on the upper computer according to the accumulated result of the movement gait parameters.
Through the steps, the moving gait parameters of each livestock are collected in real time and uploaded to the upper computer, and the remote monitoring and early warning prompt is carried out through responding to the moving state division result sent by the upper computer. Not only the whole real-time remote monitoring of the livestock is completed, but also the accurate record of the motion state of each individual livestock can be realized. Therefore, the problems that data acquired by remote monitoring are inaccurate and continuous and real-time monitoring cannot be carried out on the movement behaviors of the individual livestock can be solved, and the effects of continuously recording the movement states of the livestock in real time and accurately determining which livestock is in a poor health state are achieved.
In order to better remove the influence of noise on the step number judgment when acquiring data, the first activity parameter of the livestock is acquired by the following steps: determining a first frequency range according to the movement gait parameters of the livestock activity, wherein the first frequency range is used for indicating the frequency range in which the step frequency area of the livestock is located in the acquired original signals; and in the first frequency range, obtaining a second frequency range according to a preset time window, wherein the second frequency range is used for indicating the frequency range of the step frequency region in the preset time window range.
It should be noted that the modeling takes into account the acceleration variation of the X, Y, Z axes. The Z-axis acceleration data, namely the vertical walking direction, has obvious periodicity, the position with the minimum acceleration value is correspondingly away from the ground, and the maximum acceleration value is correspondingly lifted to the highest point.
During specific execution, although the Z-axis acceleration original output has certain periodicity, the change is complex due to noise, the step counting is not easy to directly carry out, and the signal needs to be filtered, so that the noise influence is eliminated as much as possible. In the usual case, where the animals are pigs, the frequency of the steps of the pigs will not exceed 5steps/s at the fastest speed and 0.5steps/s at the slowest speed. Therefore, a signal having a frequency of 0.5 to 5Hz in the original signal can be considered as a useful signal, and other signals are noise.
Alternatively, a Fast Fourier Transform (FFT) filtering may be used to achieve the requirement of retaining part of the frequency information, and useful information may be extracted.
Preferably, an adaptive frequency range smaller than 0.5 to 5Hz is established based on analyzing the frequency spectrum of a large amount of experimental data, and a useful signal in the frequency range is reserved through fast fourier transform, and useless information outside the frequency range is removed.
When determining the acceleration change condition in the stepping period, after acquiring the first activity parameter of the livestock, the method comprises the following steps: when the motion gait parameter is in a preset time window and is positioned at a wave crest or a wave trough, counting the times of occurrence of the wave crest or the wave trough; and recording the acceleration value in the motion gait parameter under the condition that a peak and a trough appear in a preset gait cycle and correspond to an ascending interval and a descending interval, wherein the preset gait cycle is used as a stepping cycle of the livestock. That is, the maximum value and the minimum value of the acceleration only occur once in a stepping period, and a rising interval and a falling interval exist. And the maximum value (wave crest) and the minimum value (wave trough) of the acceleration are alternately appeared during walking, and the absolute value of the difference value between the wave crest and the wave trough is not less than a preset threshold value 1. Also, a monotonic interval corresponds to 50% of the step cycle, and the time interval should be between 1/2 time windows. And constraining the acceleration change interval, and if the constraint condition is met, corresponding to half a step.
In the implementation, after acquiring the first activity parameter of the livestock, the method comprises the following steps: when the acceleration value in the motion gait parameter is in a rising interval and the acceleration value is a first extreme value, resetting the rising time of the acceleration within a first rising time range, wherein the first extreme value is used for indicating a numerical value of the acceleration value when the acceleration value reaches a peak, and the first rising time range is used for indicating that the time taken by the acceleration value when the acceleration value reaches the peak is within a preset range; and clearing the descending time of the acceleration value within a first descending time range under the condition that the acceleration value is not in a rising interval and the acceleration value is a second extreme value, wherein the second extreme value is used for indicating the value of the acceleration value when reaching the valley, and the first descending time range is used for indicating the time of the acceleration value when reaching the valley to be within a preset range. And if the time of the acceleration value when the peak is reached is within a preset range, considering the first rising time range as a reasonable range. And if the time of the acceleration value when reaching the trough is not in the preset range, considering the first rising time range as a reasonable range. And if the time of the acceleration value when the peak is reached is within a preset range, considering the first falling time range as a reasonable range.
Further, in the case that the acceleration value is in a rising interval and the acceleration is a first extreme value, increasing the rising time of the acceleration value within a second rising time range by a first sampling time, wherein the second rising time range is used for indicating that the time taken by the acceleration value when reaching the peak is not within a preset range; and under the condition that the acceleration value is not in the rising interval and is a second extreme value, increasing the falling time of the acceleration value in a second falling time range by first sampling time, wherein the second falling time range is used for indicating that the time taken by the acceleration value when reaching the trough is not in a preset range. If the elapsed time of the acceleration value when the peak is reached is not within the preset range, the first sampling time is increased. If the time taken for the acceleration value to reach the trough is not within the preset range, the first sampling time is also increased.
Preferably, after acquiring the first activity parameter of the animal, it comprises: acquiring a first extreme value and a second extreme value of the acceleration value in the motion gait parameter, wherein the first extreme value is used for indicating the value of the acceleration value at the peak, and the second extreme value is used for indicating the value of the acceleration value at the valley; and under the condition that the absolute value of the difference value of the first extreme value and the second extreme value is larger than a threshold value, determining to save or not save the first extreme value and the second extreme value according to a third extreme value of the acceleration values in the moving gait parameters, wherein the third extreme value is used for indicating the value of the acceleration values at the trough or the peak. That is, when determining whether to save the first extreme value and the second extreme value, it is necessary to determine whether to use the kinetic gait parameter according to whether the absolute value of the difference between the first extreme value and the second extreme value is greater than the threshold and opposite to the third extreme value.
Optionally, the receiving the result of dividing the motion state of the livestock according to the first activity parameter sent by the upper computer includes: receiving the division result of the upper computer on the motion state of the livestock according to the livestock living body corresponding to the unique identification ID; responding to the motion state division result, and performing remote monitoring and early warning prompt comprises the following steps: and responding to the division result that the rest state of the livestock in the motion state division result is abnormal, and performing remote monitoring and early warning prompt. And if the rest state of the livestock is an abnormal division result, carrying out remote monitoring and early warning prompt.
When needing to be noticed, the unique identification ID is used as the identification of the individual livestock, so that the motion state of the corresponding livestock can be recorded in the upper computer according to the unique identification ID.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
Example 2
In this embodiment, a remote monitoring device for livestock movement is further provided, and the device is used for implementing the above embodiments and preferred embodiments, which have already been described and will not be described again. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 3 is a block diagram of the internal structure of a remote monitoring device for livestock movement according to an embodiment of the present invention, as shown in fig. 3, the device comprising:
an acceleration sensor 30 for acquiring a motion acceleration of the living livestock, wherein the motion acceleration includes acceleration information of the living livestock in a vertical direction during motion;
the microprocessor 32 is used for processing the motion acceleration and converting the motion acceleration into a motion gait corresponding to the living livestock body; wherein the moving gait includes gait step information of the living livestock body;
a wireless communication module 34 for transmitting the motion gait synchronization;
and the luminous alarm 36 is used for responding to the received result of dividing the motion state of the living livestock according to the motion gait.
The acceleration sensor 30 is used for acquiring a first activity parameter of the livestock, wherein the first activity parameter refers to a moving gait parameter of the livestock activity detected by one or more sensors installed on the livestock living body.
The microprocessor 32 is used for processing the gait step counting information collected by the acceleration sensor 30.
In particular, the microprocessor 32 is configured to determine a first frequency range according to the moving gait parameters of the animal activity, wherein the first frequency range is used to indicate a frequency range in which the step frequency region of the animal in the acquired raw signal is located;
and in the first frequency range, obtaining a second frequency range according to a preset time window, wherein the second frequency range is used for indicating the frequency range of the step frequency region in the preset time window range.
Further, after the first activity parameter of the livestock is collected, the microprocessor 32 is used for counting the times of occurrence of the wave crests or the wave troughs when the motion gait parameter is within a preset time window and is located at the wave crests or the wave troughs; and recording the acceleration value in the motion gait parameter under the condition that a peak and a trough appear in a preset gait cycle and correspond to an ascending interval and a descending interval, wherein the preset gait cycle is used as a stepping cycle of the livestock.
Further, after acquiring a first activity parameter of the livestock, the microprocessor 32 is configured to zero the acceleration rise time within a first rise time range when the acceleration value in the motion gait parameter is in a rise interval and the acceleration value is a first extreme value, where the first extreme value is used to indicate a value of the acceleration value at a peak, and the first rise time range is used to indicate that the time taken by the acceleration value when the acceleration value reaches the peak is within a preset range; and clearing the descending time of the acceleration value within a first descending time range under the condition that the acceleration value is not in a rising interval and the acceleration value is a second extreme value, wherein the second extreme value is used for indicating the value of the acceleration value when reaching the valley, and the first descending time range is used for indicating the time of the acceleration value when reaching the valley to be within a preset range.
Further, the microprocessor 32 is configured to increase the rise time of the acceleration value within a second rise time range by the first sampling time if the acceleration value is in the rise interval and the acceleration is the first extreme value, wherein the second rise time range is used to indicate that the time taken by the acceleration value when reaching the peak is not within the preset range; and under the condition that the acceleration value is not in the rising interval and is a second extreme value, increasing the falling time of the acceleration value in a second falling time range by first sampling time, wherein the second falling time range is used for indicating that the time taken by the acceleration value when reaching the trough is not in a preset range.
Further, after acquiring a first activity parameter of the livestock, the microprocessor 32 is configured to acquire a first extreme value and a second extreme value of the acceleration value in the motion gait parameter, wherein the first extreme value is used for indicating a value of the acceleration value at a peak and the second extreme value is used for indicating a value of the acceleration value at a valley; and under the condition that the absolute value of the difference value of the first extreme value and the second extreme value is larger than a threshold value, determining to save or not save the first extreme value and the second extreme value according to a third extreme value of the acceleration values in the moving gait parameters, wherein the third extreme value is used for indicating the value of the acceleration values at the trough or the peak.
Fig. 4 is a schematic external structure diagram of a remote monitoring device for livestock movement according to an embodiment of the invention, wherein the remote monitoring device further comprises: the ear tag comprises an ear tag shell 41, wherein a printed circuit board is arranged in the ear tag shell 41, and the acceleration sensor 30, the microprocessor 32, the wireless communication module 34 and the luminous alarm 36 are positioned on the printed circuit board. Optionally, the ear tag housing is made of rubber.
The ear tag shell is adopted as a main structure and is used for wrapping and protecting a circuit board, and the outer material is rubber.
Further, the remote monitoring device further comprises: the locking post 43 and the ear tag buckle 42, the ear tag casing passes through the locking post 43 with the ear tag buckle 42 links to each other, locking post tip with printed circuit board connects, another tip and the switch button 44 of locking post 43 are connected, the ear tag buckle 42 is used for fixing the ear tag casing 41.
As shown in fig. 6, the locking post 43 may be integrally formed with the ear tag housing 41. The material can be made of metal material and the outside of the metal material is wrapped with an insulating environment-friendly material. The end part is connected with the output of the singlechip, and the other end part is connected with a switch button 44 with a light-emitting diode. The device is responsible for penetrating pig ears and is also responsible for physical connection between keys of the light emitting diode and an output port of the singlechip.
As shown in fig. 5, the ear tag buckle 42, which is structurally separated from the ear tag housing, is mainly responsible for locking the buckle post when the ear tag housing with the buckle post 43 penetrates the pig ear.
Optionally, the data interface of the microprocessor adopts a Serial peripheral interface bus (SPI for short) or an I2C bus. The data Interface of the acceleration sensor adopts a Serial Peripheral Interface bus (SPI for short) or an I2C bus.
Optionally, a unique identification ID is configured on the microprocessor. The unique identification ID is configured on the microcontroller to be bound with the corresponding livestock needing remote monitoring, and the type of the livestock variety can be recorded on the upper computer.
Optionally, the acceleration sensor employs a digital signal output interface. And a digital signal is output at a data interface of the acceleration sensor, so that a chip does not need to be specially selected for analog-to-digital conversion of the sampled data.
Optionally, the light-emitting alarm is a light-emitting diode. Specifically, when the light emitting diodes on the remote monitoring devices of the livestock start to blink, the workers need to arrive at the site for checking. The light emitting diodes may be configured to require a key reset in the field to eliminate the warning when flashing. For example, if the flicker frequency is 5% above or below the threshold value range, 1 second flickers for 1 time, and if the flicker frequency is 5% -10% above the threshold value range, one second flickers for three times; and if the light intensity exceeds 10%, the light emitting diode is normally bright.
Optionally, the wireless communication module is a wireless data transmission module. The individual movement behavior data of the live pigs are uploaded in real time in a wireless communication mode, so that the individual movement behavior data of the live pigs can be continuously monitored.
In conclusion, the remote monitoring device provided by the embodiment of the application reads acceleration information and transmits the processed livestock gait step counting value to the upper computer. The following intervals can be divided by the obtained values for the state of the live pig: a normal exercise state or a rest state. The piglet day and night average rest time data threshold is 60-70%, the boar is 70-75%, the sow is 80-85%, and the fat pig is 70-85%. The upper computer is used as a reference according to the data threshold section, and the remote monitoring device is provided with a unique identification ID and is bound with livestock. Whether the rest time of a certain livestock exceeds the threshold range or not can be judged by the upper computer according to the unique identification ID and the data threshold, if the rest time of the certain livestock exceeds the threshold range, the livestock is marked to be abnormal in behavior, and the livestock is issued to a handheld mobile terminal of a worker through the upper computer to carry out early warning notification.
It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in different processors in any combination.
Embodiments of the present invention also provide a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the above method embodiments when executed.
Alternatively, in the present embodiment, the storage medium may be configured to store a computer program for executing the steps of:
s1, acquiring first activity parameters of the livestock, wherein the first activity parameters refer to movement gait parameters of the livestock activity detected by one or more sensors installed on the living bodies of the livestock;
s2, receiving the result of the division of the movement state of the livestock according to the first activity parameter sent by the upper computer, wherein the result of the division of the movement state at least comprises one of the following results: the rest state and the activity state of the livestock;
and S3, responding to the motion state division result, and performing remote monitoring and early warning prompt.
Optionally, the storage medium is further arranged to store a computer program for performing the steps of:
s12, determining a first frequency range according to the movement gait parameters of the livestock activity, wherein the first frequency range is used for indicating the frequency range of the step frequency area of the livestock in the acquired original signals;
and S24, obtaining a second frequency range according to a preset time window in the first frequency range, wherein the second frequency range is used for indicating the frequency range where the step frequency region in the preset time window range is located.
Optionally, in this embodiment, the storage medium may include, but is not limited to: various media capable of storing computer programs, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Embodiments of the present invention also provide an electronic device comprising a memory having a computer program stored therein and a processor arranged to run the computer program to perform the steps of any of the above method embodiments.
Optionally, the electronic apparatus may further include a transmission device and an input/output device, wherein the transmission device is connected to the processor, and the input/output device is connected to the processor.
Optionally, in this embodiment, the processor may be configured to execute the following steps by a computer program:
s1, acquiring first activity parameters of the livestock, wherein the first activity parameters refer to movement gait parameters of the livestock activity detected by one or more sensors installed on the living bodies of the livestock;
s2, receiving the result of the division of the movement state of the livestock according to the first activity parameter sent by the upper computer, wherein the result of the division of the movement state at least comprises one of the following results: the rest state and the activity state of the livestock;
and S3, responding to the motion state division result, and performing remote monitoring and early warning prompt.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation manners, and this embodiment is not described herein again.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for remotely monitoring the movement of livestock, comprising:
acquiring first activity parameters of the livestock, wherein the first activity parameters refer to movement gait parameters of the livestock activity detected by one or more sensors installed on the living bodies of the livestock;
receiving the result of the division of the motion state of the livestock according to the first activity parameter, which is sent by the upper computer, wherein the result of the division of the motion state at least comprises one of the following results: the rest state and the activity state of the livestock;
and responding to the motion state division result, and performing remote monitoring and early warning prompt.
2. The method of claim 1 wherein acquiring first activity parameters of the animal comprises:
determining a first frequency range according to the movement gait parameters of the livestock activity, wherein the first frequency range is used for indicating the frequency range in which the step frequency area of the livestock is located in the acquired original signals;
and in the first frequency range, obtaining a second frequency range according to a preset time window, wherein the second frequency range is used for indicating the frequency range of the step frequency region in the preset time window range.
3. The method of claim 1 wherein after acquiring the first activity parameter of the animal, comprising:
when the motion gait parameter is in a preset time window and is positioned at a wave crest or a wave trough, counting the times of occurrence of the wave crest or the wave trough;
and recording the acceleration value in the motion gait parameter under the condition that a peak and a trough appear in a preset gait cycle and correspond to an ascending interval and a descending interval, wherein the preset gait cycle is used as a stepping cycle of the livestock.
4. The method of claim 1 wherein after acquiring the first activity parameter of the animal, comprising:
when the acceleration value in the motion gait parameter is in a rising interval and the acceleration value is a first extreme value, resetting the rising time of the acceleration within a first rising time range, wherein the first extreme value is used for indicating a numerical value of the acceleration value when the acceleration value reaches a peak, and the first rising time range is used for indicating that the time taken by the acceleration value when the acceleration value reaches the peak is within a preset range;
and clearing the descending time of the acceleration value within a first descending time range under the condition that the acceleration value is not in a rising interval and the acceleration value is a second extreme value, wherein the second extreme value is used for indicating the value of the acceleration value when reaching the valley, and the first descending time range is used for indicating the time of the acceleration value when reaching the valley to be within a preset range.
5. The method of claim 4,
under the condition that the acceleration value is in a rising interval and the acceleration is a first extreme value, increasing the rising time of the acceleration value within a second rising time range by a first sampling time, wherein the second rising time range is used for indicating that the time of the acceleration value when the acceleration value reaches the peak is not within a preset range;
and under the condition that the acceleration value is not in the rising interval and is a second extreme value, increasing the falling time of the acceleration value in a second falling time range by first sampling time, wherein the second falling time range is used for indicating that the time taken by the acceleration value when reaching the trough is not in a preset range.
6. The method of claim 1 wherein after acquiring the first activity parameter of the animal, comprising:
acquiring a first extreme value and a second extreme value of the acceleration value in the motion gait parameter, wherein the first extreme value is used for indicating the value of the acceleration value at the peak, and the second extreme value is used for indicating the value of the acceleration value at the valley;
and under the condition that the absolute value of the difference value of the first extreme value and the second extreme value is larger than a threshold value, determining to save or not save the first extreme value and the second extreme value according to a third extreme value of the acceleration values in the moving gait parameters, wherein the third extreme value is used for indicating the value of the acceleration values at the trough or the peak.
7. The method of claim 1,
the receiving of the result of the division of the motion state of the livestock according to the first activity parameter sent by the upper computer comprises the following steps:
receiving the division result of the upper computer on the motion state of the livestock according to the livestock living body corresponding to the unique identification ID;
responding to the motion state division result, and performing remote monitoring and early warning prompt comprises the following steps:
and responding to the division result that the rest state of the livestock in the motion state division result is abnormal, and performing remote monitoring and early warning prompt.
8. A remote monitoring device for livestock movement, for mounting on a live livestock body, comprising:
the acceleration sensor is used for acquiring the motion acceleration of the living livestock, wherein the motion acceleration comprises acceleration information of the living livestock in the vertical direction during motion;
the microprocessor is used for processing the motion acceleration and converting the motion acceleration into a motion gait corresponding to the living livestock body; wherein the moving gait includes gait step information of the living livestock body;
the wireless communication module is used for synchronously transmitting the movement gait;
and the luminous alarm is used for responding to the received division result of the motion state of the living livestock according to the motion gait to carry out remote monitoring and early warning prompt.
9. An electronic device comprising a memory and a processor, wherein the memory has stored therein a computer program, and wherein the processor is arranged to execute the computer program to perform the method of any of claims 1 to 7.
10. A storage medium, in which a computer program is stored, wherein the computer program is arranged to perform the method of any of claims 1 to 7 when executed.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112136709A (en) * | 2020-09-25 | 2020-12-29 | 北京原基华毅生物科技有限公司 | Motion state monitoring method, device, equipment and readable storage medium |
| CN112335558A (en) * | 2020-11-05 | 2021-02-09 | 新余学院 | Livestock disease control automatic monitoring and prevention and control device |
| CN112754471A (en) * | 2020-12-31 | 2021-05-07 | 上海移为通信技术股份有限公司 | Eating detection method, eating detection device, electronic equipment, storage medium and program product |
| CN116058298A (en) * | 2023-03-06 | 2023-05-05 | 北京市农林科学院信息技术研究中心 | Livestock behavior monitoring method and device |
-
2020
- 2020-05-11 CN CN202010393672.9A patent/CN111528858A/en not_active Withdrawn
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112136709A (en) * | 2020-09-25 | 2020-12-29 | 北京原基华毅生物科技有限公司 | Motion state monitoring method, device, equipment and readable storage medium |
| CN112136709B (en) * | 2020-09-25 | 2022-06-07 | 北京原基华毅生物科技有限公司 | Motion state monitoring method, device, equipment and readable storage medium |
| CN112335558A (en) * | 2020-11-05 | 2021-02-09 | 新余学院 | Livestock disease control automatic monitoring and prevention and control device |
| CN112754471A (en) * | 2020-12-31 | 2021-05-07 | 上海移为通信技术股份有限公司 | Eating detection method, eating detection device, electronic equipment, storage medium and program product |
| CN116058298A (en) * | 2023-03-06 | 2023-05-05 | 北京市农林科学院信息技术研究中心 | Livestock behavior monitoring method and device |
| CN116058298B (en) * | 2023-03-06 | 2023-09-12 | 北京市农林科学院信息技术研究中心 | Livestock behavior monitoring method and device |
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