CN114777846A - Grazing monitoring system and method - Google Patents
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Abstract
The invention provides a grazing monitoring system and method adopting real-time positioning and combining with a sensor, which can realize monitoring of abnormal information only by transmitting positioning information and monitoring information and combining with algorithm processing, thereby greatly reducing power consumption requirements compared with the implementation of camera monitoring in the prior art; and the monitoring result obtained by combining the real-time positioning information, the shaking sensor information and the pressure sensor information with an algorithm and judging the roadbed is more accurate and reliable. The three-dimensional GIS map is combined, the landform and the landform of the pasture in the mountainous area are well expressed, so that a monitor can quickly and accurately identify the geographic information of the pasture and make decision feedback; the position of the monitored target is clearer and more accurate; through the use of three-dimensional navigation, the ground-to-ground navigation path in the mountainous area has higher identification degree, and the problem that a two-dimensional GIS map is not suitable in the mountainous area is solved.
Description
Technical Field
The invention relates to the field of informatization animal husbandry, in particular to a grazing monitoring system and a grazing monitoring method.
Background
The herdsman in the mountain area often grazes the cattle and sheep to the high mountain herding area, the topography of the herding area is large, and factors such as foggy days and cloudy days cause that the visual field visibility of the herdsman is low and the herdsman cannot timely control the livestock of the herdsman, so that troubles are caused; part herdsmen may have other production activities simultaneously and can not be in charge of grazing livestock all the time, if can master the positional information of grazing livestock all the time, herdsmen can participate in other production activities by drawing oneself.
The existing part of intelligent livestock wearing equipment can realize target livestock positioning, but a herdsman cannot clearly see the specific position of the target livestock on a mountain based on positioning display of a two-dimensional map, even whether the target livestock is on a bottom of the mountain or on a slope of the mountain cannot be clearly distinguished, and in the situation, a thief is likely to lose the target livestock due to the loss of the livestock. A two-dimensional GIS is generally used for positioning and tracking traditional intelligent equipment, and the two-dimensional GIS has large limitation in mountainous areas and cannot intuitively express positioning information of targets.
For a monitoring part, a general abnormity monitoring method is carried out in a positioning and video mode, and the occurrence of abnormity is determined to be incomplete by singly using positioning information without changing for a long time; the realization of abnormal capture by means of video monitoring inevitably requires the transmission of a large amount of video data, which has great requirements for the realization of network and device functions.
Disclosure of Invention
In order to overcome the technical defects, the invention aims to provide a grazing monitoring system and a method capable of monitoring grazing abnormity.
The invention discloses a grazing monitoring system, which comprises a monitoring end and a management center end, wherein the monitoring end is worn on a livestock body, the management center end is connected with the monitoring end, and the management center end is connected with a client; the monitoring end comprises a positioning module, a pressure detection module and a shaking detection module; the client and the management center end acquire monitoring information from a plurality of monitoring ends, wherein the monitoring information comprises position information and shaking degree information of the monitored livestock and pressure information borne by the monitoring ends; the management center end respectively processes the position information, the shaking degree information and the pressure information of the monitoring end of the monitored livestock, if one of the position information, the shaking degree information and the pressure information is judged to be abnormal, the grazing condition of the monitored livestock is considered to be abnormal, the abnormal monitoring information is sent to the client, and an alarm is given on the client; the client comprises a navigation module, and a map picture of the position of the monitored livestock is displayed through the navigation module; carrying out place marking on the map picture; and planning a navigation route from the current position of the client to the position of the monitored livestock.
Preferably, the monitoring end is worn on the corner of the livestock; the monitoring end also comprises a camera module, and the surrounding environment of the monitored livestock is photographed through the camera module.
The invention also discloses a grazing monitoring method, which comprises the following steps: the method comprises the following steps that a client and a management center end acquire monitoring information from a plurality of monitoring ends worn on livestock, wherein the monitoring information comprises position information, shaking degree information and pressure information borne by the monitoring ends of the monitored livestock; the management center end respectively processes the position information, the shaking degree information and the pressure information of the monitoring end of the monitored livestock, if one of the position information, the shaking degree information and the pressure information is judged to be abnormal, the grazing condition of the monitored livestock is considered to be abnormal, the abnormal monitoring information is sent to the client, and an alarm is given on the client; displaying a map picture of the position of the monitored livestock through a navigation module in the client; marking a place on the map picture; and planning a navigation route from the current position of the client to the position of the monitored livestock.
Preferably, if one of the conditions is judged to be abnormal, the grazing condition of the monitored livestock is considered to be abnormal, the abnormal monitoring information is sent to the client, and the alarming on the client further comprises: and controlling the monitoring terminal to shoot a field picture and transmitting the field picture to the client.
Preferably, the processing, by the management central terminal, of the position information, the shaking degree information, and the pressure information applied to the monitoring end of the monitored livestock respectively includes: the position information comprises geographical position coordinates, a plurality of geographical position coordinates form a moving track of the monitored livestock, and whether the moving track is abnormal or not is judged according to the difference between the moving track and a preset track; calculating the moving speed by combining the moving time, and judging whether the moving speed is abnormal or not; if the moving track and/or the moving speed are abnormal, the position information is considered to be abnormal; acquiring the shaking amplitude detected by the monitoring end, and if the shaking amplitude is larger than the preset shaking threshold value, considering that the shaking information is abnormal; and acquiring a pressure value detected by the monitoring end, and if the pressure value is greater than the preset pressure threshold, considering that the pressure information is abnormal.
Preferably, the management central port respectively processes the position information, the shaking degree information and the pressure information of the monitoring end of the monitored livestock, and if one of the information is judged to be abnormal, the grazing condition of the monitored livestock is considered to be abnormal, and the method further comprises the following steps: and if the geographic position coordinates are the same within the preset time and the shaking amplitude is not detected, determining that the grazing condition of the monitored livestock is abnormal.
Preferably, the judging whether the moving speed is abnormal includes: if the moving speed is constant and is less than a first preset threshold value; and/or if the moving speed is constant and less than a first preset threshold value in one period of time, and the moving speed is higher than a second preset threshold value in the other period of time, the moving speed is considered to be abnormal.
Preferably, the shaking amplitude detected by the monitoring end is obtained, and if the shaking amplitude is larger than the preset shaking threshold value, the shaking information is considered to be abnormal; obtaining a pressure value detected by the monitoring end, and if the pressure value is greater than the preset pressure threshold, considering that the pressure information is abnormal, further comprising: acquiring shaking information and pressure information when the monitoring end is detached from a monitored livestock body, and using the shaking information and the pressure information as a training set training neural network model; inputting the abnormal shaking information and the abnormal pressure information into the neural network model, judging whether the abnormal shaking information and the abnormal pressure information are real abnormal or false abnormal, and if the abnormal shaking information and the abnormal pressure information are false abnormal, considering that the shaking information and the abnormal pressure information are normal.
After the technical scheme is adopted, compared with the prior art, the method has the following beneficial effects:
1. the invention adopts real-time positioning and sensor monitoring for livestock, only needs to transmit positioning information and monitoring information, combines algorithm processing to realize abnormal information monitoring, and greatly reduces power consumption requirements compared with the implementation of camera monitoring in the prior art; the monitoring result obtained by combining the real-time positioning information, the shaking sensor information and the pressure sensor information with an algorithm and judging the roadbed is more accurate and reliable;
2. the three-dimensional GIS map is combined, the landform and the landform of the pasture in the mountainous area are well expressed, so that a monitor can quickly and accurately identify the geographic information of the pasture and make decision feedback; the position of the monitored target is clearer and more accurate; through the use of three-dimensional navigation, the ground-to-ground navigation path in the mountainous area has higher identification degree, and the problem that a two-dimensional GIS map is not suitable in the mountainous area is solved.
Drawings
Fig. 1 is a block diagram of a grazing monitoring system provided by the present invention;
fig. 2 is a flowchart of a grazing monitoring method provided in the present invention.
Detailed Description
The advantages of the invention are further illustrated by the following detailed description of the preferred embodiments in conjunction with the drawings.
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the disclosure, as detailed in the appended claims.
The terminology used in the disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
In the description of the present invention, it is to be understood that the terms "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate orientations or positional relationships based on those shown in the drawings, and are merely for convenience of description and simplicity of description, but do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, are not to be construed as limiting the present invention.
In the description of the present invention, unless otherwise specified and limited, it should be noted that the terms "mounted," "connected," and "connected" are to be interpreted broadly, and may be, for example, a mechanical connection or an electrical connection, a communication between two elements, a direct connection, or an indirect connection through an intermediate medium, and those skilled in the art will understand the specific meaning of the terms as they are used in the specific case.
In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in themselves. Thus, "module" and "component" may be used in a mixture.
Referring to fig. 1, the invention discloses a grazing monitoring system, which comprises a monitoring end worn on a livestock body and a management center end connected with the monitoring end, and is used for acquiring monitoring information from the monitoring end. The management center end is connected with the client and used for transmitting the received monitoring information after processing the monitoring information respectively.
The monitoring end comprises a positioning module, a pressure detection module and a shaking detection module. The positioning module is used for acquiring the accurate position of the monitored livestock, and the pressure detection module is usually a pressure sensor and is used for detecting whether the monitoring end is subjected to abnormal pressure or not, so that whether the monitoring end is maliciously dismounted or not is judged, and whether the monitored livestock has the risk of being stolen or not is judged. The shake detection module is usually a shake sensor and is used for monitoring whether the monitored livestock has normal shake behavior, so as to judge whether the monitored livestock has the risk of theft.
The client and the management center end acquire monitoring information from the plurality of monitoring ends, wherein the monitoring information comprises position information and shaking degree information of the monitored livestock and pressure information borne by the monitoring ends, so that the plurality of livestock can be monitored simultaneously. The management center end respectively processes the position information, the shaking degree information and the pressure information of the monitoring end of the monitored livestock, if one of the position information, the shaking degree information and the pressure information is judged to be abnormal, the grazing condition of the monitored livestock is considered to be abnormal, the abnormal monitoring information is sent to the client, and the client gives an alarm.
The invention realizes abnormal information capture by combining shaking information, pressure information and positioning information, improves the accuracy, and greatly reduces the data transmission pressure by little data transmission.
The client comprises a navigation module, and a map picture of the position of the monitored livestock can be displayed through the navigation module; a place mark may be made on the map screen to reserve information. And a navigation route from the current position of the client to the position of the monitored livestock can be planned, so that monitoring personnel can quickly reach the position of the monitored livestock when needed.
The three-dimensional navigation for mountainous areas has obvious advantages compared with two-dimensional navigation, and in a complex terrain area, the three-dimensional navigation can more accurately and clearly depict actual scenes and driving routes by depicting information such as roads, bridges, public facilities, surrounding buildings, terrain environments and the like, and has higher identification degree. And the navigation path is drawn in a mode of being attached to the ground wire, so that the travel has more authenticity and identification degree. The invention provides an embodiment of a three-dimensional visualization tool CesiumJS and a Goods path planning tool for performing a navigation function. CesiumJS is an open source JavaScript library used for creating world-level 3D earth and maps with good performance, precision, visual quality and ease of use.
The monitoring end also comprises a camera module, generally a camera, and the surrounding environment of the monitored livestock is photographed through the camera module. When the abnormal condition is found, the camera can be opened in time to shoot, and the picture of the abnormal condition at the first time is obtained for subsequent analysis. And can also be used as a certificate tool for verifying abnormal conditions. And the camera module does not need to be started all the time, so that the power consumption is reduced.
The method realizes real-time positioning, three-dimensional WebGIS display and three-dimensional navigation of positioning information of grazing livestock based on the Internet of things communication technology and the sensor technology, and solves the problem that a two-dimensional GIS map is not suitable for use in mountainous areas. The intelligent antitheft and antitheft anti-theft system brings convenience to herdsmen by shaking the sensor, the pressure sensor, the positioning element and the camera and having the functions of intelligent antitheft and antitheft information acquisition, thereby realizing the production informatization and the intellectualization of the herdsmen. In addition, the shake sensor, the pressure sensor, the positioning element, the camera and the like adopted by the monitoring end are low in price, so that the cost is minimized, and the problem of high cost of intelligent equipment is solved for vast mountain herdsmen.
According to a preferred embodiment, the client uses a three-dimensional webGIS service cecum to label the acquired positioning information on the ground surface in a marking point mode, so that a user can clearly see the specific position of the target livestock in the pasturing area through operations such as zooming in, zooming out and rotating the three-dimensional map interface.
The three-dimensional webGIS service adopts an API provided by the cecum and a general and open-source path planning API on the market to realize navigation, the cecum is used for realizing display of the navigation, and the Gagde map service is used for obtaining navigation path planning data. There are three travel modes: and carrying out planning display according to the selection of the user, and recommending a walking mode if no driving data exists in the path planning. The method comprises the steps of obtaining initial position information from a client, calling an open source API (such as God) provided by a universal WebGIS service to obtain optimal path planning coordinate data, drawing a navigation path by using the API provided by a three-dimensional webGIS service through a ground line drawing mode (the ground line is a mode that the navigation path is displayed by being attached to the ground surface), and realizing the navigation function by matching with real-time positioning of a mobile terminal, implementation of an induction arrow and data updating.
In other embodiments, other navigation software may also be employed, without limitation herein.
Preferably, the monitoring end can be worn on the corners of the livestock in a mode of a metal strap and the like, and the position of the monitoring end cannot affect the normal life of the livestock. The camera is placed in a wide field of view, which is helpful for information capture and data acquisition. Both raising and lowering of the livestock can cause the shake sensor to function. In addition, the corners of livestock are generally very hard, and the fact that the monitoring ends are fixed on the oxhorn is beneficial to preventing lawless persons from maliciously taking down the equipment for carrying out lawless consummation.
The monitoring terminal also comprises a power supply and a communication module so as to be in contact with the client and the management center terminal in time.
In one embodiment, the monitoring terminals are worn on the bodies of the grazing animals, one monitoring terminal corresponds to one grazing object, and the device can acquire required positioning information (such as time, longitude and latitude coordinates of the grazing object), shaking sensor information (such as whether specific time shakes and shaking amplitude), pressure sensor information (such as a pressure value of time) and shooting information (such as a picture shot at specific time) in real time and transmit the information back to the system server.
And after receiving the data returned by the monitoring terminals, the management center terminal performs logic processing and analysis on each monitoring terminal, acquires and stores information of the corresponding monitoring terminal, acquires navigation data from the client to the target monitoring terminal, performs abnormity judgment and alarm reminding operation when abnormity occurs, and performs calling operation, user authority control and the like on the monitoring terminals.
The program for the herdsman to use is installed on the client (such as a mobile phone, an iPad and the like) to meet the scene of using at any time and any place, and the herdsman can check the livestock distribution, the moving track of the corresponding livestock, the abnormal information of the corresponding livestock is collected and checked, the monitoring end is called up, the target livestock is navigated, and the convenient 110 alarm is realized.
Referring to fig. 2, the present invention also discloses a grazing monitoring method, which comprises the following steps:
the method comprises the following steps that a client and a management center end acquire monitoring information from a plurality of monitoring ends worn on livestock, wherein the monitoring information comprises position information and shaking degree information of the monitored livestock and pressure information borne by the monitoring ends;
the management center end respectively processes the position information, the shaking degree information and the pressure information borne by the monitoring end of the monitored livestock, if one of the position information, the shaking degree information and the pressure information is judged to be abnormal, the grazing condition of the monitored livestock is considered to be abnormal, the abnormal monitoring information is sent to the client, and an alarm is given on the client;
displaying a map picture of the position of the monitored livestock through a navigation module in the client; marking a place on a map picture; and planning a navigation route from the current position of the client to the position of the monitored livestock.
It should be noted that the above steps are not in strict sequence.
Preferably, after the grazing situation is judged to be abnormal and the abnormal monitoring information is sent to the client, the client can control the monitoring terminal to call the camera module to shoot a scene picture and transmit the scene picture to the client for further confirmation or timely capture the scene abnormal situation.
The general abnormity judgment logic preset by the management center end is as follows:
A. the position information of the livestock obtained by the monitoring end is generally geographical position coordinates, a plurality of geographical position coordinates form a moving track of the monitored livestock, and whether the moving track is abnormal or not is judged according to the difference between the moving track and a preset track. And calculating the moving speed by combining the moving time, and judging whether the moving speed is abnormal or not. And if at least one of the movement track and the movement speed is abnormal, the position information is considered to be abnormal.
B. And acquiring the shaking amplitude detected by the monitoring end, and if the shaking amplitude is greater than a preset shaking threshold value, considering that the shaking information is abnormal.
C. And acquiring a pressure value detected by the monitoring end, and if the pressure value is greater than a preset pressure threshold, determining that the pressure information is abnormal.
In order to eliminate the accidental event, the detection of the sway width and the detection and judgment of the pressure value should be performed a plurality of times within a certain time, that is, the sway abnormality information/the pressure abnormality information is detected a plurality of times within a certain time, and then the abnormality information is confirmed.
Corresponding to life analysis of livestock, under normal conditions, the track of the livestock carrying the monitoring end does not move for a period of time, most of the livestock can stop to feed for a period of time after walking for a period of time, obvious walking-stopping-walking-stopping tracks are presented, and the shake detection equipment can obtain shake data close to the change trend of the tracks. Thus, the livestock is stolen for the following situations:
1. the livestock is normally dragged by the suspect in an attempt to leave the grazing area: in this case, the moving track of the livestock is continuously changed and low and constant, and the track is usually not overlapped with the local common traffic;
2. the livestock is drawn by the suspicious person to go on a section of way, and then is drawn by the vehicle: in this case the trajectory of the animal is first a short, low constant continuously changing trajectory, and then the next trajectory is changed to a faster (relative to normal) continuously changing trajectory. The front part of the track is usually not overlapped with the local common traffic, and the rear part of the track is usually overlapped with the local common traffic;
3. when the equipment is found by suspicious personnel, the other party takes measures for dismantling the equipment, and the equipment detects abnormal pressure and shaking data at the moment;
4. the equipment is violently removed and thrown in a certain place, and the equipment can be in a certain place for a long time without track change.
Therefore, corresponding to the above abnormal situations, the management center stores the following judgment methods:
and if the moving speed is constant and is smaller than a first preset threshold value, the moving speed corresponding to the first condition is considered to be abnormal.
And if the moving speed in one period of time is constant and is smaller than a first preset threshold value, and the moving speed in the other period of time is higher than a second preset threshold value, the moving speed corresponding to the second condition is considered to be abnormal.
And if the coordinates of the geographic positions are the same within the preset time and the shaking amplitude is not detected, the grazing condition of the monitored livestock is considered to be abnormal, and the moving speed corresponding to the fourth condition is considered to be abnormal.
In a preferred embodiment, shaking information and pressure information when the monitoring end is detached from the monitored livestock can be acquired and used as a training set to train a neural network model; and inputting the abnormal shaking information and the abnormal pressure information into the neural network model, and judging whether the abnormal shaking information and the abnormal pressure information are real abnormal or false abnormal, wherein the false abnormal is the accidental normal condition of the abnormal condition detected by each sensor. If the information is false abnormal, the shaking information and the pressure information are considered to be normal.
It should be noted that the embodiments of the present invention have been described in terms of preferred embodiments, and not by way of limitation, and that those skilled in the art can make modifications and variations of the embodiments described above without departing from the spirit of the invention.
Claims (8)
1. A grazing monitoring system is characterized by comprising a monitoring end and a management center end, wherein the monitoring end is worn on a livestock body, the management center end is connected with the monitoring end, and the management center end is connected with a client;
the monitoring end comprises a positioning module, a pressure detection module and a shaking detection module;
the client and the management center end acquire monitoring information from a plurality of monitoring ends, wherein the monitoring information comprises position information and shaking degree information of the monitored livestock and pressure information borne by the monitoring ends;
the management center end respectively processes the position information, the shaking degree information and the pressure information of the monitoring end of the monitored livestock, if one of the position information, the shaking degree information and the pressure information is judged to be abnormal, the grazing condition of the monitored livestock is considered to be abnormal, the abnormal monitoring information is sent to the client, and an alarm is given on the client;
the client comprises a navigation module, and a map picture of the position of the monitored livestock is displayed through the navigation module;
marking a place on the map picture;
and planning a navigation route from the current position of the client to the position of the monitored livestock.
2. The grazing monitoring system according to claim 1, characterized in that the monitoring end is worn at a corner of the animal;
the monitoring end also comprises a camera module, and the surrounding environment of the monitored livestock is photographed through the camera module.
3. A grazing monitoring method is characterized by comprising the following steps:
the method comprises the following steps that a client and a management center end acquire monitoring information from a plurality of monitoring ends worn on livestock, wherein the monitoring information comprises position information, shaking degree information and pressure information borne by the monitoring ends of the monitored livestock;
the management center end respectively processes the position information, the shaking degree information and the pressure information of the monitoring end of the monitored livestock, if one of the position information, the shaking degree information and the pressure information is judged to be abnormal, the grazing condition of the monitored livestock is considered to be abnormal, the abnormal monitoring information is sent to the client, and an alarm is given on the client;
displaying a map picture of the position of the monitored livestock through a navigation module in the client; carrying out place marking on the map picture; and planning a navigation route from the current position of the client to the position of the monitored livestock.
4. The grazing monitoring method according to claim 3, wherein if one of the judgment results is abnormal, the grazing condition of the monitored livestock is considered to be abnormal, the abnormal monitoring information is sent to the client, and the client gives an alarm, further comprising:
and controlling the monitoring terminal to shoot a field picture, and transmitting the field picture to the client.
5. The grazing monitoring method according to claim 3, wherein the processing of the position information, the shaking degree information and the pressure information on the monitoring end by the management center end respectively comprises:
the position information comprises geographical position coordinates, a plurality of geographical position coordinates form a moving track of the monitored livestock, and whether the moving track is abnormal or not is judged according to the difference between the moving track and a preset track; calculating the moving speed by combining the moving time, and judging whether the moving speed is abnormal or not; if the moving track and/or the moving speed are/is abnormal, the position information is considered to be abnormal;
acquiring the shaking amplitude detected by the monitoring end, and if the shaking amplitude is larger than the preset shaking threshold, considering that the shaking information is abnormal;
and acquiring a pressure value detected by the monitoring end, and if the pressure value is greater than the preset pressure threshold, considering that the pressure information is abnormal.
6. The grazing monitoring method according to claim 5, wherein the managing center processes the position information, the shaking degree information and the pressure information of the monitored livestock respectively, and if one of the information is determined to be abnormal, the grazing condition of the monitored livestock is considered to be abnormal, further comprising:
and if the geographic position coordinates are the same within the preset time and the shaking amplitude is not detected, determining that the grazing condition of the monitored livestock is abnormal.
7. The grazing monitoring method according to claim 5, wherein the determining whether the moving speed is abnormal includes:
if the moving speed is constant and is less than a first preset threshold value; and/or if the moving speed is constant and less than a first preset threshold value in one period of time, and the moving speed is higher than a second preset threshold value in the other period of time, the moving speed is considered to be abnormal.
8. The grazing monitoring method according to claim 5, wherein the shaking amplitude detected by the monitoring end is obtained, and if the shaking amplitude is larger than the preset shaking threshold, the shaking information is considered to be abnormal; obtaining a pressure value detected by the monitoring end, and if the pressure value is greater than the preset pressure threshold, considering that the pressure information is abnormal further comprises:
acquiring shaking information and pressure information when the monitoring end is detached from a monitored livestock body, and using the shaking information and the pressure information as a training set training neural network model;
inputting the abnormal shaking information and the abnormal pressure information into the neural network model, judging whether the abnormal shaking information and the abnormal pressure information are real abnormal or false abnormal, and if the abnormal shaking information and the abnormal pressure information are false abnormal, considering that the shaking information and the abnormal pressure information are normal.
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