CN111583595A

CN111583595A - Animal monitoring method and device, storage medium, wearable device and monitoring device

Info

Publication number: CN111583595A
Application number: CN202010385682.8A
Authority: CN
Inventors: 何清; 李洋; 刘安
Original assignee: Beijing Haiyi Tongzhan Information Technology Co Ltd
Current assignee: Beijing Haiyi Tongzhan Information Technology Co Ltd
Priority date: 2020-05-09
Filing date: 2020-05-09
Publication date: 2020-08-25
Anticipated expiration: 2040-05-09
Also published as: CN111583595B

Abstract

The disclosure provides an animal monitoring method, an animal monitoring device, a computer-readable storage medium, wearable equipment and monitoring equipment, and belongs to the technical field of computers. The method is applied to a wearable device, the wearable device is worn on the body of an animal, and the wearable device comprises an alarm circuit for monitoring the wearing state of the wearable device; the method comprises the following steps: acquiring position data and/or movement data of the animal, and sending the position data and/or the movement data to monitoring equipment, so that the monitoring equipment generates abnormal reminding information when determining that the animal is in an abnormal state according to the position data and/or the movement data; and when the disconnection of the alarm circuit is detected, alarm information is generated and sent to the monitoring equipment. The automatic monitoring of animal can be realized to this disclosure, improves monitoring efficiency.

Description

Animal monitoring method and device, storage medium, wearable device and monitoring device

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to an animal monitoring method, an animal monitoring device, a computer-readable storage medium, a wearable device, and a monitoring device.

Background

With the rapid development of economy in China, the relationship between people and animals is becoming more and more compact, and meanwhile, the protection of healthy growth of animals is also a problem of key attention of people.

In the process of breeding animals, the activity state of the animals is usually automatically checked and judged by people, but due to objective factors, people often cannot monitor the activity state of the animals from time to time. Even a special breeding enterprise, the activity state of each animal is difficult to monitor by breeding personnel, that is, the difficulty of manually monitoring the activity state of the animal is high, and for the breeding personnel, when the number of the animals is large, the manual monitoring of the activity state of the animal needs to complete a large workload, and the efficiency of animal monitoring is not high.

It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.

Disclosure of Invention

The present disclosure provides animal monitoring methods, animal monitoring devices, computer-readable storage media, wearable devices, and monitoring devices, thereby reducing the workload of manually monitoring animals at least to some extent.

Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.

According to a first aspect of the present disclosure, there is provided an animal monitoring method applied to a wearable device worn on a body of an animal, the wearable device including an alarm circuit for monitoring a wearing state of the wearable device; the method comprises the following steps: acquiring position data and/or movement data of the animal, and sending the position data and/or the movement data to monitoring equipment, so that the monitoring equipment generates abnormal reminding information when determining that the animal is in an abnormal state according to the position data and/or the movement data; and when the disconnection of the alarm circuit is detected, alarm information is generated and sent to the monitoring equipment.

In an exemplary embodiment of the present disclosure, the wearable device includes: a positioning sensor for acquiring position data of the animal; a motion sensor for acquiring motion data of the animal.

In an exemplary embodiment of the present disclosure, the wearable device further includes a signal lamp, the method includes: and when a light-on instruction sent by the monitoring equipment is received, controlling the signal lamp to light.

According to a second aspect of the present disclosure, there is provided a method of monitoring an animal, for use with a monitoring device, the method comprising: acquiring position data and/or motion data of an animal by a wearable device, the wearable device being worn on the body of the animal; when the animal is determined to be in an abnormal state according to the position data and/or the motion data, generating abnormal reminding information; when alarm information sent by the wearable device is received, the alarm information is presented; the wearable device comprises an alarm circuit, and the alarm information is generated by the wearable device when the alarm circuit is disconnected and is sent to the monitoring device.

In an exemplary embodiment of the present disclosure, the determining that the animal is in an abnormal state from the position data and/or the motion data comprises: determining whether the current position of the animal exceeds a preset area according to the position data; and when the current position of the animal is determined to exceed the preset area, determining that the animal is in a position abnormal state.

In an exemplary embodiment of the present disclosure, the determining that the animal is in an abnormal state from the position data and/or the motion data comprises: acquiring current motion data of the animal; determining the distance between the current motion data and the predetermined clustering center of each abnormal state category; and when the distance between the current motion data and at least one clustering center is smaller than a preset threshold value, determining that the animal is in a healthy abnormal state.

In an exemplary embodiment of the present disclosure, the abnormal state category is determined by: acquiring historical movement data of animals; and clustering the historical motion data to obtain a plurality of abnormal state categories, and determining the clustering center of each abnormal state category.

In an exemplary embodiment of the present disclosure, the wearable device further includes a signal lamp, and the method further includes: responding to a lighting instruction input by a user on the monitoring equipment, and sending the lighting instruction to the wearable equipment so that the wearable equipment controls the signal lamp to light.

According to a third aspect of the present disclosure, there is provided an animal monitoring apparatus applied to a wearable device worn on a body of an animal, the wearable device including an alarm circuit for monitoring a wearing state of the wearable device; the device comprises: the acquisition module is used for acquiring the position data and/or the motion data of the animal and sending the position data and/or the motion data to the monitoring equipment, so that the monitoring equipment generates abnormal reminding information when determining that the animal is in an abnormal state according to the position data and/or the motion data; and the generating module is used for generating alarm information and sending the alarm information to the monitoring equipment when the alarm circuit is detected to be disconnected.

In an exemplary embodiment of the present disclosure, the obtaining module includes: a positioning sensor for acquiring position data of the animal; a motion sensor for acquiring motion data of the animal.

In an exemplary embodiment of the present disclosure, the wearable device further includes a signal lamp, and the generation module further includes: and the control unit is used for controlling the signal lamp to light when receiving the light-on instruction sent by the monitoring equipment.

According to a fourth aspect of the present disclosure, there is provided an animal monitoring apparatus for use with a monitoring device, the apparatus comprising: the system comprises an acquisition module, a processing module and a control module, wherein the acquisition module is used for acquiring position data and/or motion data of an animal through a wearable device, and the wearable device is worn on the body of the animal; the generating module is used for generating abnormal reminding information when the animal is determined to be in an abnormal state according to the position data and/or the motion data; the display module is used for displaying the alarm information when the alarm information sent by the wearable equipment is received; the wearable device comprises an alarm circuit, and the alarm information is generated by the wearable device when the alarm circuit is disconnected and is sent to the monitoring device.

In an exemplary embodiment of the disclosure, the generation module determines that the animal is in an abnormal state by performing the following method: determining whether the current position of the animal exceeds a preset area according to the position data; and when the position of the current animal is determined to exceed the preset area, determining that the animal is in a position abnormal state.

In an exemplary embodiment of the disclosure, the generation module further determines that the animal is in an abnormal state by performing the following method: acquiring current motion data of the animal; determining the distance between the current motion data and the predetermined clustering center of each abnormal state category; and when the distance between the current motion data and at least one clustering center is smaller than a preset threshold value, determining that the animal is in a healthy abnormal state.

In an exemplary embodiment of the disclosure, the generation module further determines the abnormal state category by performing the following method: acquiring historical movement data of animals; and clustering the historical motion data to obtain a plurality of abnormal state categories, and determining the clustering center of each abnormal state category.

In an exemplary embodiment of the disclosure, the wearable device further includes a signal lamp, and the generation module is further configured to send a light instruction to the wearable device in response to a light instruction input by a user on the monitoring device, so that the wearable device controls the signal lamp to light.

According to a fifth aspect of the present disclosure there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements any of the animal monitoring methods described above.

According to a sixth aspect of the present disclosure, there is provided a wearable device comprising: a processor; and a memory for storing executable instructions of the processor; the alarm circuit is used for monitoring the wearing state of the wearable equipment; the communication unit is used for communicating with the monitoring equipment; wherein the processor is configured to perform any of the animal monitoring methods described above via execution of the executable instructions.

According to a seventh aspect of the present disclosure, there is provided a monitoring device comprising: a processor; and a memory for storing executable instructions of the processor; a communication unit for communicating with a wearable device; wherein the processor is configured to perform any of the animal monitoring methods described above via execution of the executable instructions.

The present disclosure has the following beneficial effects:

according to the animal monitoring method, the animal monitoring device, the computer-readable storage medium, the wearable device and the monitoring device, the wearable device can acquire position data or motion data of an animal and send the position data or the motion data to the monitoring device, and the monitoring device can determine whether the animal is in an abnormal state according to the position data or the motion data and generate abnormal reminding information when the animal is determined to be in the abnormal state; meanwhile, the wearable device is provided with an alarm circuit, and when the fact that the alarm circuit is disconnected is detected, the wearable device can generate alarm information and send the information to the monitoring device. On one hand, the wearable device sends the acquired animal position data or motion data to the monitoring device, so that the monitoring device can determine the position and health state of the animal by analyzing the position data or motion data, the automatic monitoring of the animal state is realized, a user does not need to know the position and health state of each animal through manual inspection, the animal monitoring efficiency is improved, and meanwhile, the workload of the user is greatly reduced; on the other hand, because wearable equipment can be when warning circuit disconnection automatic generation alarm information and send alarm information to monitoring facilities, avoided damaging or dismantling the problem that leads to unable monitoring animal state because of wearable equipment, simultaneously, to breeding the enterprise, also avoided to a certain extent because of the loss that the animal was stolen or sold etc. and caused.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is apparent that the drawings in the following description are only some embodiments of the present disclosure, and that other drawings can be obtained from those drawings without inventive effort for a person skilled in the art.

FIG. 1 illustrates a system architecture diagram of the environment in which the exemplary embodiment operates;

FIG. 2 shows a flow chart of a method of animal monitoring in this exemplary embodiment;

FIGS. 3A and 3B are interface diagrams illustrating an alarm message in the present exemplary embodiment;

FIG. 4 shows a flow chart of another method of animal monitoring in this exemplary embodiment;

FIGS. 5A and 5B are schematic diagrams of an interface for a positional anomaly in the present exemplary embodiment;

FIGS. 6A and 6B are schematic diagrams of an interface of an exception alert message according to the exemplary embodiment;

FIG. 7 shows a schematic diagram of an interface for marking an abnormal state of an animal in the present exemplary embodiment;

fig. 8A and 8B are schematic diagrams of interfaces for controlling lighting of signal lamps according to the present exemplary embodiment;

fig. 9 shows a block diagram of the structure of an animal monitoring apparatus in this exemplary embodiment;

fig. 10 shows a block diagram of another animal monitoring device in this exemplary embodiment;

FIG. 11 illustrates a computer-readable storage medium for implementing the above-described method in the present exemplary embodiment;

FIG. 12 illustrates a computing device for implementing the above-described method in this exemplary embodiment.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

Exemplary embodiments of the present disclosure provide an animal monitoring method applied to a wearable device and a monitoring device, respectively. Fig. 1 shows a schematic diagram of a system architecture of an environment in which the method operates. As shown in fig. 1, the system 100 may include a wearable device 110 and a monitoring device 120. The wearable device 110 is worn on the body of an animal, and can be used to obtain monitoring data of the animal, for example, a collar worn on the neck of the animal; monitoring device 120 may be a variety of electronic devices that provide monitoring services to a user, including but not limited to cell phones, desktop computers, portable computers, tablet computers, and the like.

Through the system architecture, the wearable device can perform data interaction with the monitoring device, for example, the wearable device can send the monitoring data of the animal to the monitoring device, the monitoring device can analyze the received monitoring data and present an analysis result, so that a user can determine the state of the animal according to the analysis result, and meanwhile, the wearable device can also send an instruction to the wearable device to complete corresponding operation.

It should be noted that, when the wearable device and the monitoring device perform data interaction, a connection between the wearable device and the monitoring device may be established according to a distance between the wearable device and the monitoring device, so that the wearable device may perform data transmission through the connection. For example, in most cases, the animal farming area of a farming enterprise is typically located in a remote suburban or mountainous area, and a connection between the animal wearable device and the monitoring device may be established through a server, a base station, a relay station configured by the farming enterprise, or the like. In some cases, the wearable device may be directly connected to the monitoring device by radio waves or the like.

The animal monitoring method in the present exemplary embodiment is explained in detail below with a wearable device and a monitoring device as execution subjects, respectively:

for some breeding enterprises, the animals are sometimes distributed to scattered households for breeding, and the enterprises need to monitor the growth conditions of the animals during the growth period of the animals. Therefore, the wearable device is configured on the animal, so that the enterprise can be helped to realize automatic monitoring of the animal, and the workload of a user is greatly reduced. Meanwhile, in order to prevent the wearable device from being damaged or replaced to other animals, an alarm circuit can be arranged in the wearable device to monitor the wearing state of the wearable device. In an alternative embodiment, the alarm circuit may include an alarm line extending through the wearable device and an alarm circuit board that generates alarm information. For example, when the wearable device is an annular collar, the alarm wire may be disposed in a wire embedding groove inside the annular collar to form a closed loop, wherein the wire embedding groove is used for fixing the alarm wire. When wearable equipment leads to the optional position disconnection because external force is dismantled or is damaged, all can make the warning circuit disconnection, warning circuit board can generate alarm information this moment. After the alarm information is generated, the wearable device can send the alarm information to the monitoring device, so that a user can determine the wearing state of the wearable device in time to take further measures.

Fig. 2 shows a flow of the animal monitoring method in the present exemplary embodiment, which may include the following steps S210 to S220:

s210, obtaining position data and/or movement data of the animal, and sending the position data and/or the movement data to monitoring equipment, so that the monitoring equipment generates abnormity reminding information when determining that the animal is in an abnormal state according to the position data and/or the movement data.

The position data refers to the geographical position of the animal and can be expressed as corresponding coordinate data, such as longitude and latitude; the motion data refers to the activity data of the animal and can comprise walking steps, standing time, sleeping time and the like of the animal; the abnormal state of the animal can include various types according to the position data and/or the motion data, and the like, and for example, the abnormal state of the position can be included, such as the position of the animal is beyond a certain range, or the abnormal state of health, such as the walking step number of the animal in a certain time period is smaller than a normal value, and the like.

The wearable device may monitor the position and motion state of the animal, while the position data or motion data of the animal may be acquired in real time or on a periodic basis, such as every 5 minutes, every 10 minutes, etc. After acquiring the data, the wearable device may send the position data or the motion data to the monitoring device, for example, the data may be sent to the monitoring device while the data is acquired, or the data may be sent according to a certain period, such as every 10 minutes, every 15 minutes, and the like, and in some cases, the periods of acquiring and sending the data by the wearable device may be the same.

When the wearable device acquires data, the position data and the motion data may also be acquired respectively according to different frequencies, for example, the acquisition frequency of the position data may be set to 5 minutes/time, and the acquisition frequency of the motion data may be set to 10 minutes/time, at this time, when sending data to the monitoring device, the position data and the motion data may be sent to the monitoring device respectively, for example, immediately sent to the monitoring device according to respective acquisition frequencies, or sent to the monitoring device simultaneously as a set of data with the acquired position data and motion data, for example, data may be sent to the monitoring device periodically according to the maximum acquisition frequency in the above acquisition frequencies, that is, 10 minutes/time. When the monitoring device receives the position data or the movement data, whether the animal is in an abnormal state or not in a corresponding time period can be determined by analyzing the data.

Further, the above-mentioned obtaining of the position data or the motion data of the animal may also be implemented by configuring a sensor in the wearable device, specifically, in an optional embodiment, the wearable device may include a positioning sensor and a motion sensor, where the positioning sensor may be used to collect the position data of the animal, for example, a GPS (Global positioning system) sensor or the like; the motion sensor may be used to collect motion data of the animal, such as may include a step-counting sensor, an inertial measurement unit, a body temperature sensor, and the like.

Because positioning sensor usually has certain error, when positioning sensor's error is great or the animal distributes comparatively densely, it is comparatively difficult to confirm the position of animal through positioning sensor, consequently, in an optional implementation, above-mentioned wearable equipment can also include the signal lamp, and the user can send the instruction of lighting a light to wearable equipment through monitoring facilities, when wearable equipment received above-mentioned instruction of lighting a light, can control above-mentioned signal lamp and light to make the user can pass through the accurate position of signal lamp quick definite animal.

In addition, when the lighting of the traffic light is controlled, the lighting mode of the traffic light, such as constant lighting, flashing at a certain frequency, and the like, may be preset.

And S220, when the disconnection of the alarm circuit is detected, generating alarm information and sending the alarm information to monitoring equipment.

When the wearable equipment leads to the warning circuit disconnection because of external force dismantlement or damage, wearable equipment can automatic generation be about the alarm information of warning circuit disconnection to send this alarm information to monitoring facilities, monitoring facilities can present received alarm information according to the predetermined mode. Fig. 3A and 3B show interface schematic diagrams of alarm information displayed on a monitoring device, and as shown in fig. 3A, three pieces of alarm information are listed, each alarm information includes animal numbers, namely, "cow 001" and "cow 003", and an alarm time and an affiliated location, etc., and a user can view detailed information of the corresponding alarm information, such as an alarm type, an alarm time and a specific location, etc., in the interface shown in fig. 3B by selecting the alarm information therein.

By the method of automatically generating and sending the alarm information when the alarm circuit is disconnected in the step S220, a user can timely know the wearing state of the wearable device, and the problem that the state of an animal cannot be monitored due to damage or disassembly of the wearable device is avoided to a certain extent, namely, the alarm circuit provides a protection mechanism for normal operation of the wearable device.

Further, referring to fig. 4, with the monitoring device as an execution subject, the animal monitoring method in the present exemplary embodiment may include the following steps S410 to S430:

step S410, position data and/or motion data of an animal are obtained through wearable equipment, and the wearable equipment is worn on the body of the animal.

When the wearable device monitors the position and the motion state of the animal, the monitoring device can acquire the position data or the motion data monitored by the wearable device in real time or according to a certain period, and particularly, the monitoring device can synchronously acquire the position data or the motion data when the wearable device acquires the position data or the motion data.

In addition, when acquiring the position data or the motion data of the animal, the monitoring device may acquire the position data or the motion data by establishing a connection with the wearable device, or may transmit a data acquisition instruction to the wearable device through the connection, so that the wearable device responds to the instruction to transmit the position data or the motion data of the animal to the monitoring device.

And S420, generating abnormal reminding information when the animal is determined to be in an abnormal state according to the position data and/or the motion data.

The abnormal reminding information can comprise position information, time information, abnormal information and the like of the animal when the abnormality occurs, and meanwhile, the reminding form of the abnormal reminding information can be one or more of characters, pictures, sounds and the like.

After the monitoring device acquires the position data or the motion data of the animal, the data can be analyzed to judge whether the animal is in an abnormal state, and corresponding abnormal reminding information can be generated when the animal is determined to be in the abnormal state. Generally, the abnormal state of an animal includes two aspects, namely, a positional abnormality and a health abnormality, which will be described below.

(one) position abnormality

The range of motion of the animal over a period of time can be determined from the position data of the animal, and in particular, in an alternative embodiment, step S420 can be implemented by:

determining whether the current position of the animal exceeds a preset area according to the position data;

and when the current position of the animal is determined to exceed the preset area, determining that the animal is in a position abnormal state.

The preset area refers to a safe area for animal activities, for example, for livestock, the preset area may be a defined breeding area, and for pets, the preset area may be a cell range.

Determining the position of the animal at the current moment, namely the current position, according to the position data of the animal, such as coordinate data, then determining whether the current position is in a preset area according to the coordinate data of the current position and the like, and determining that the animal is in a position abnormal state when the current position of the animal is determined not to be in the preset area. Referring to fig. 5A and 5B, which are schematic diagrams illustrating an interface for location abnormality, as shown in fig. 5A, a display screen of a monitoring device displays abnormality reminding information about the location abnormality of an animal, and when it is required to view the accurate location of the animal or the location of the animal at the current time, a user can view the detailed location of the animal in the interface shown in fig. 5B by selecting the corresponding abnormality reminding information.

(II) abnormal health

Accordingly, by analyzing the movement data of the animal, the health status of the animal can be determined, and in an alternative embodiment, the step S420 can be further implemented by:

acquiring current motion data of the animal;

determining the distance between the current motion data and the predetermined clustering center of each abnormal state category;

and when the distance between the current motion data and at least one clustering center is smaller than a preset threshold value, determining that the animal is in a healthy abnormal state.

Wherein, the current motion data of the animal can be the motion data in the current period of time; the abnormal state category can be a health abnormal category of the animal, for example, the animal can be in any one of illness, death, farrowing, oestrus and the like; the preset threshold may be a maximum threshold of the motion data and the cluster center when the animal has a health abnormality, and may be generally determined by analyzing historical motion data of the same animal, for example, the historical motion data may be clustered, and a maximum distance between the historical motion data and the cluster center in each abnormal state category is determined as the preset threshold. In an alternative embodiment, different preset thresholds may be set for different abnormal state categories.

After obtaining the current movement data of the animal, the monitoring device may calculate a distance, such as an average distance or a euclidean distance, between the current movement data and a predetermined clustering center of each abnormal state category, when a value of the distance is smaller than a preset threshold, it is indicated that the animal has a high possibility of abnormal health, and it is determined that the animal is in an abnormal health state, and the abnormal health category is a health abnormal category corresponding to the clustering center when the distance between the current movement data and the clustering center of each abnormal state category is smaller than the preset threshold.

In the method for determining that an animal is in an abnormal health state, the cluster center of each abnormal state category may be obtained by performing cluster analysis on historical movement data of the same animal, and specifically, in an alternative embodiment, the abnormal state category may be determined by:

acquiring historical movement data of animals;

and clustering the historical motion data to obtain a plurality of abnormal state categories, and determining the clustering center of each abnormal state category.

The historical movement data can be movement data of the same animal in a past period, and in order to make the historical movement data more targeted, the historical movement data can be further limited to movement data of the same animal in the same growth period.

After the historical movement data of the animal is obtained, the historical movement data can be preprocessed, for example, in order to avoid the problem of sample data unbalance caused by large data volume in the animal health state, sampling or data synthesis can be performed on the historical movement data; then, clustering the preprocessed historical motion data according to the number of the abnormal state categories of the animals to obtain a plurality of categories corresponding to the abnormal state categories, reading the clustering centers of the plurality of categories, and determining the clustering centers as the clustering centers of each abnormal state category.

Further, in an alternative embodiment, the method of determining that the animal is in an abnormal health state in step S420 may also be implemented by inputting the current movement data of the animal into a pre-configured classification model, so as to classify the current movement data into a certain abnormal state category. The pre-configured classification model can be obtained through the following method:

acquiring historical movement data of animals;

and training the historical motion data through a classification model, and verifying the classification performance of the classification model, so that the classification model with the best classification performance is used as the pre-trained classification model.

The classification model may be a deterministic classification algorithm, such as a decision tree, a support vector machine, a neural network, and the like.

After obtaining historical movement data of an animal, setting labels of the historical movement data according to health abnormal categories of the animal, dividing the historical movement data with the labels into a training set and a test set according to a certain proportion, training the training set by adopting the classification model to obtain a target classification model, testing the target classification model through the test set, calculating classification performance such as accuracy, recall rate and the like, and when the classification performance of the target classification model reaches a preset value, taking the corresponding target classification model as a pre-trained classification model so as to determine the health abnormal category of the animal corresponding to the current movement data through the pre-trained classification model.

By the method for determining the position abnormal state or the health abnormal state of the animal, the automatic monitoring of the animal state is realized to a greater extent, the workload of a user is reduced, and the monitoring efficiency of the animal is improved; meanwhile, compared with subjectivity of manual animal health state inspection, the method has high monitoring accuracy.

Further, after determining that the animal is in the abnormal health state, the monitoring device may generate and display corresponding abnormal reminding information, as shown in fig. 6A and 6B, an interface schematic diagram of the abnormal reminding information is shown, where fig. 6A is a list display schematic diagram of the abnormal reminding information, fig. 6B is a detailed schematic diagram of the abnormal reminding information, according to the abnormal reminding information, it may be determined that the animal is in the abnormal health state at this time, and meanwhile, the user may further view specific abnormal health information of the animal, such as the abnormal health category, by clicking "details".

In addition, in order to enhance the flexibility and practicability of animal monitoring, when a user detects that an abnormal condition exists in an animal, the abnormal condition of the health or position of the animal can also be manually marked on the monitoring device, as shown in fig. 7, an interface schematic diagram for marking the abnormal condition of the animal is shown, and the user can mark the corresponding animal as being in an oestrus state by selecting an animal number.

And S430, when the alarm information sent by the wearable device is received, the alarm information is presented.

The wearable device comprises an alarm circuit, and the alarm information is generated by the wearable device when the alarm circuit is disconnected and is sent to the monitoring device.

When alarm information sent by the wearable device is received, the monitoring device can present the alarm information according to the type of the alarm information, for example, if the alarm information is character or picture information, the alarm information can be displayed on a display screen of the monitoring device, and if the alarm information is sound information, the alarm information can be played on the monitoring device; or the alarm information can also be a combination of various information types such as characters, pictures, sounds and the like.

Further, in order to enable the user to quickly locate the animal to be found, the monitoring device may send an instruction to the wearable device to enable the wearable device to send a locating signal, so that the user can be helped to quickly determine the position of the animal. Specifically, in an optional implementation manner, the wearable device may further include a signal lamp, and the monitoring device may send the lighting instruction to the wearable device in response to a lighting instruction input by the user on the monitoring device, so that the wearable device controls the signal lamp to light. For example, on a monitoring device, a user may trigger a lighting instruction by clicking a "find cow" or the like, so as to control lighting of a signal lamp of a corresponding wearable device, fig. 8A and 8B show a schematic diagram of controlling lighting of a signal lamp in this exemplary embodiment, as shown in fig. 8A, information of monitored animals is listed in a list form on a display screen of the monitoring device, by selecting a number of the corresponding animal and a "batch control" button, a display page as shown in fig. 8B may be entered, while the wearable device corresponding to the animal number selected by the user controls flashing of the signal lamp thereof, as shown in fig. 8B, the user may view a lighting state of each wearable device, and may control turning off and on of the signal lamp by selecting a "stop lighting" or "re-lighting" button.

In addition, according to actual needs, the positioning signal emitted by the wearable device may also be a sound signal, and the sound signal may be implemented by configuring a speaker or the like in the wearable device.

In summary, according to the animal monitoring method in the exemplary embodiment, the wearable device may acquire position data or motion data of the animal, and send the position data or the motion data to the monitoring device, and the monitoring device may determine whether the animal is in an abnormal state according to the position data or the motion data, and generate the abnormal reminding information when determining that the animal is in the abnormal state; meanwhile, the wearable device is provided with an alarm circuit, and when the fact that the alarm circuit is disconnected is detected, the wearable device can generate alarm information and send the information to the monitoring device. On one hand, the wearable device sends the acquired animal position data or motion data to the monitoring device, so that the monitoring device can determine the position and health state of the animal by analyzing the position data or motion data, the automatic monitoring of the animal state is realized, a user does not need to know the position and health state of each animal through manual inspection, the animal monitoring efficiency is improved, and meanwhile, the workload of the user is greatly reduced; on the other hand, because wearable equipment can be when warning circuit disconnection automatic generation alarm information and send alarm information to monitoring facilities, avoided damaging or dismantling the problem that leads to unable monitoring animal state because of wearable equipment, simultaneously, to breeding the enterprise, also avoided to a certain extent because of the loss that the animal was stolen or sold etc. and caused.

Further, the present exemplary embodiment provides an animal monitoring apparatus, and as shown in fig. 9, the animal monitoring apparatus 900 may be applied to a wearable device, the wearable device is worn on the body of an animal, and the wearable device may include an alarm circuit, which may be used to monitor a wearing state of the wearable device; the animal monitoring device 900 apparatus may include: the obtaining module 910 may be configured to obtain position data and/or motion data of an animal, and send the position data and/or the motion data to the monitoring device, so that when the monitoring device determines that the animal is in an abnormal state according to the position data and/or the motion data, the monitoring device generates an abnormal reminding message; the generating module 920 may be configured to generate an alarm message when the disconnection of the alarm circuit is detected, and send the alarm message to the monitoring device.

In an exemplary embodiment of the present disclosure, the obtaining module 910 may include: a positioning sensor that can be used to collect position data of the animal; the motion sensor can be used for collecting motion data of animals.

In an exemplary embodiment of the present disclosure, the wearable device may further include a signal lamp, and the generating module 920 may further include: and the control unit can be used for controlling the signal lamp to light when receiving the light-on instruction sent by the monitoring equipment.

Further, the present exemplary embodiment also provides an animal monitoring apparatus, as shown with reference to fig. 10, the animal monitoring apparatus 1000 may be applied to a monitoring device, and the animal monitoring apparatus 1000 may include: an obtaining module 1010, configured to obtain position data and/or motion data of an animal via a wearable device, the wearable device being worn on a body of the animal; a generating module 1020, configured to generate an abnormality reminding message when it is determined that the animal is in an abnormal state according to the position data and/or the motion data; the presenting module 1030 may be configured to present alarm information when the alarm information sent by the wearable device is received; wherein, wearable equipment can include alarm circuit, and alarm information is generated and is sent to monitoring facilities by wearable equipment when alarm circuit breaks down.

In an exemplary embodiment of the present disclosure, the generation module 1020 may determine that the animal is in an abnormal state by performing the following method: determining whether the current position of the animal exceeds a preset area according to the position data; and when the current position of the animal is determined to exceed the preset area, determining that the animal is in a position abnormal state.

In an exemplary embodiment of the present disclosure, the generation module 1020 may also determine that the animal is in an abnormal state by performing the following method: acquiring current motion data of the animal; determining the distance between the current motion data and the predetermined clustering center of each abnormal state category; and when the distance between the current motion data and at least one cluster center is smaller than a preset threshold value, determining that the animal is in a healthy abnormal state.

In an exemplary embodiment of the disclosure, the generation module 1020 may further determine the abnormal state category by performing the following method: acquiring historical movement data of animals; and clustering the historical motion data to obtain a plurality of abnormal state categories, and determining the clustering center of each abnormal state category.

In an exemplary embodiment of the disclosure, the wearable device may further include a signal lamp, and the generating module 1020 may be further configured to send the lighting instruction to the wearable device in response to a lighting instruction input by the user on the monitoring device, so that the wearable device controls the signal lamp to light.

The specific details of each module in the above apparatus have been described in detail in the method section, and details of an undisclosed scheme may refer to the method section, and thus are not described again.

As will be appreciated by one skilled in the art, aspects of the present disclosure may be embodied as a system, method or program product. Accordingly, various aspects of the present disclosure may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.

Exemplary embodiments of the present disclosure also provide a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, various aspects of the disclosure may also be implemented in the form of a program product comprising program code for causing a terminal device to perform the steps according to various exemplary embodiments of the disclosure described in the above-mentioned "exemplary methods" section of this specification, when the program product is run on the terminal device.

Referring to fig. 11, a program product 1100 for implementing the above method according to an exemplary embodiment of the present disclosure is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

Program product 1100 may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).

Exemplary embodiments of the present disclosure also provide a wearable device capable of implementing the above method, for example, may be the wearable device 110 shown in fig. 1, and the wearable device may include: a processor, a memory, an alarm circuit and a communication unit, wherein the processor may be configured to perform the method steps, etc. as shown in fig. 2, via execution of executable instructions; the memory may be used to store executable commands for the processor; the alarm circuit can be used for monitoring the wearing state of the wearable equipment; the communication unit may be configured to communicate with the monitoring device, for example, may send the acquired position data or motion data to the monitoring device, or may send the alarm information to the monitoring device.

In an optional implementation mode, a single chip microcomputer can be arranged inside the wearable device, so that a positioning sensor, a motion sensor, an alarm circuit and the like of the wearable device can be integrated on the single chip microcomputer, and the size of the wearable device is reduced.

Further, the exemplary embodiment of the present disclosure also provides a monitoring device capable of implementing the above method, for example, the monitoring device 120 shown in fig. 1, which may include: a processor, a memory and a communication unit, wherein the processor may be configured to perform the method steps or the like as shown in fig. 4 via execution of executable instructions, e.g. it may be determined from the received position data or motion data whether the animal is in an abnormal state; the memory may be used to store executable commands for the processor; the communication unit can be used for communicating with the wearable device, for example, position data, motion data, alarm information and the like sent by the wearable device can be received.

In an alternative embodiment, the wearable device or monitoring device may take the form of a general purpose computing device. A computing device 1200 according to such exemplary embodiments of the present disclosure is described below with reference to fig. 12. It should be noted that the computing device 1200 shown in fig. 12 is only an example, and should not bring any limitations to the function and scope of the embodiments of the present disclosure.

As shown in fig. 12, the components of the computing device 1200 may include, but are not limited to: the at least one processing unit 1210, the at least one memory unit 1220, and a bus 1230 connecting various system components (including the memory unit 1220 and the processing unit 1210); a display unit 1240 and a communication unit 1270. In addition, when the computing device 1200 is a wearable device, an alarm circuit may also be included, which may be used to monitor the wearing status of the wearable device.

Wherein the storage unit 1220 stores program code, which may be executed by the processing unit 1210, such that the processing unit 1210 performs the steps according to various exemplary embodiments of the present disclosure described in the above-mentioned "exemplary method" section of this specification, for example, the processing unit 1210 may perform the method steps shown in fig. 2 and 4, etc.; the communication unit 1270 may be used to communicate with a monitoring device or a wearable device.

The storage unit 1220 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)1221 and/or a cache memory unit 1222, and may further include a read only memory unit (ROM) 1223.

Storage unit 1220 may also include a program/utility 1224 having a set (at least one) of program modules 1225, such program modules 1225 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.

Bus 1230 may be one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

The computing device 1200 may also communicate with one or more external devices 1300 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the computing device 1200, and/or with any devices (e.g., router, modem, etc.) that enable the computing device 1200 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 1250. Moreover, computing device 1200 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via network adapter 1260. As shown, the network adapter 1260 communicates with the other modules of the computing device 1200 via the bus 1230. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the computing device 1200, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

Furthermore, the above-described figures are merely schematic illustrations of processes included in methods according to exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.

Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the exemplary embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to make a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) execute the method according to the exemplary embodiments of the present disclosure.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

Claims

1. An animal monitoring method is applied to wearable equipment, and is characterized in that the wearable equipment is worn on the body of an animal and comprises an alarm circuit for monitoring the wearing state of the wearable equipment; the method comprises the following steps:

acquiring position data and/or movement data of the animal, and sending the position data and/or the movement data to monitoring equipment, so that the monitoring equipment generates abnormal reminding information when determining that the animal is in an abnormal state according to the position data and/or the movement data;

and when the disconnection of the alarm circuit is detected, alarm information is generated and sent to the monitoring equipment.

2. The animal monitoring method of claim 1, wherein the wearable device comprises:

a positioning sensor for acquiring position data of the animal;

a motion sensor for acquiring motion data of the animal.

3. The animal monitoring method of claim 1, wherein the wearable device further comprises a signal light, the method comprising:

and when a light-on instruction sent by the monitoring equipment is received, controlling the signal lamp to light.

4. An animal monitoring method applied to monitoring equipment, the method comprising the following steps:

acquiring position data and/or motion data of an animal by a wearable device, the wearable device being worn on the body of the animal;

when the animal is determined to be in an abnormal state according to the position data and/or the motion data, generating abnormal reminding information;

when alarm information sent by the wearable device is received, the alarm information is presented;

5. The animal monitoring method of claim 4, wherein said determining from the position data and/or the motion data that the animal is in an abnormal state comprises:

6. The animal monitoring method of claim 4, wherein said determining from the position data and/or the motion data that the animal is in an abnormal state comprises:

acquiring current motion data of the animal;

7. The animal monitoring method of claim 6, wherein the abnormal condition category is determined by:

acquiring historical movement data of animals;

8. The animal monitoring method of claim 4, wherein the wearable device further comprises a signal light, the method further comprising:

responding to a lighting instruction input by a user on the monitoring equipment, and sending the lighting instruction to the wearable equipment so that the wearable equipment controls the signal lamp to light.

9. An animal monitoring device is applied to wearable equipment, and is characterized in that the wearable equipment is worn on the body of an animal, and comprises an alarm circuit for monitoring the wearing state of the wearable equipment; the device comprises:

the acquisition module is used for acquiring the position data and/or the motion data of the animal and sending the position data and/or the motion data to the monitoring equipment, so that the monitoring equipment generates abnormal reminding information when determining that the animal is in an abnormal state according to the position data and/or the motion data;

and the generating module is used for generating alarm information and sending the alarm information to the monitoring equipment when the alarm circuit is detected to be disconnected.

10. An animal monitoring device for use with monitoring equipment, the device comprising:

the system comprises an acquisition module, a processing module and a control module, wherein the acquisition module is used for acquiring position data and/or motion data of an animal through a wearable device, and the wearable device is worn on the body of the animal;

the generating module is used for generating abnormal reminding information when the animal is determined to be in an abnormal state according to the position data and/or the motion data;

the display module is used for displaying the alarm information when the alarm information sent by the wearable equipment is received;

11. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of any one of claims 1-3 or 4-8.

12. A wearable device, comprising:

a processor; and

a memory for storing executable instructions of the processor;

the alarm circuit is used for monitoring the wearing state of the wearable equipment;

the communication unit is used for communicating with the monitoring equipment;

wherein the processor is configured to perform the method of any of claims 1-3 via execution of the executable instructions.

13. A monitoring device, comprising:

a processor; and

a memory for storing executable instructions of the processor;

a communication unit for communicating with a wearable device;

wherein the processor is configured to perform the method of any of claims 4-8 via execution of the executable instructions.