KR20220055519A - Intelligent companion animal management system and method based on psychological and behavioral analysis of indoor companion animals through iot - Google Patents

Abstract

The present invention relates to a method performed by a cloud server (hereinafter, referred to as a "server") capable of communicating with each other, a plurality of smart devices disposed in a room where a companion animal lives, and a user terminal, and provides an intelligent companion animal management method based on the psychological and behavioral analysis of a companion animal through the Internet of Things, and the method includes the steps of: at least one of the smart devices sensing at least one of image information, motion information, sound information, body temperature information, heart rate information, odor information, weight information, posture information, and meal amount information of the companion animal through a sensor unit; the server receiving the information sensed from at least one of the smart devices; the server analyzing whether the companion animal is in an abnormal state based on the sensed information; the server transmitting at least one of a resolution guide and a training program corresponding to the abnormal state to the user terminal; the user terminal selecting whether to directly perform at least one of the resolution guide and the training program; and the server performing at least one of the resolution guide and the training program for the companion animal by using at least one of the smart devices when it is selected that the companion animal is not directly performed.

Description

Intelligent companion animal management system and method based on psychological and behavioral analysis of indoor companion animals through the Internet of Things

The present invention is an intelligent method that collects data on indoor companion animals through the Internet of Things, analyzes the psychology and behavior of companion animals based on the collected data, and performs actions and training on companion animals based on the analyzed results. It relates to a companion animal management system and method.

The number of people who own companion animals is increasing worldwide, and the number of people who own companion animals is also increasing in Korea.

However, as the number of companion animals increases, fights with companion animals are increasing, such as being injured by companion animals or being damaged by noise caused by companion animals.

Most of these problems are caused by the lack of training for companion animals. In particular, since domestic companion animals are mostly raised in a relatively narrow room, the probability of abnormal state and abnormal behavior of companion animals increases without appropriate measures and training.

When abnormal conditions and abnormal behaviors occur in companion animals, it is necessary to visit a veterinary hospital or receive consulting from a trainer with specialized knowledge. is occurring

Prior Art 1 (Republic of Korea Patent Publication No. 10-2139922) discloses technology that collects data on companion animals and analyzes their behavior.

However, the analysis is performed using only relatively limited data, and the contents of performing actions on the analysis are not disclosed.

Republic of Korea Patent Publication No. 10-2139922, 2020.07.27)

The present invention for solving the above problems collects data on companion animals through various smart devices installed in the indoor space where the companion animal lives, analyzes the data collected through an AI system, and An object of the present invention is to provide a companion animal management system and method for performing actions or training corresponding to the analyzed results through various installed smart devices.

In addition, the purpose of the AI system is to provide a companion animal management system and method that can provide customized management services according to individual characteristics of companion animals by continuously feeding back observation data and training results to learn.

The problems to be solved by the present invention are not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the following description.

A companion animal management method according to an embodiment of the present invention for solving the above-described problems includes a cloud server (hereinafter, referred to as "server") capable of communicating with each other, a plurality of smart devices and a user terminal disposed in the room where the companion animal lives. As a method performed by, at least one of the plurality of smart devices transmits image information, motion information, sound information, body temperature information, heart rate information, smell information, weight information, posture information, and meal amount information of the companion animal through a sensor unit. detecting at least one of receiving, by the server, detected information from at least one of the plurality of smart devices; analyzing, by the server, whether the companion animal is in an abnormal state based on the sensed information; transmitting, by the server, at least one of a solution guide and a training program corresponding to the abnormal state to the user terminal; selecting, by the user terminal, whether to directly perform at least one of the solution guide and the training program; and performing, by the server, at least one of the solution guide and the training program for the companion animal by using at least one of the plurality of smart devices, if it is selected not to be directly performed.

In addition, the plurality of smart devices, a smart defecation pad for providing a predetermined space for the companion animal to defecate; a wearable device worn on the companion animal; a smart bed providing a predetermined space for sleeping to the companion animal; and a smart hub that communicates with the smart defecation pad, the wearable device, and the smart bed, and supplies at least one of feed and water to the companion animal.

In addition, the receiving of the sensed information may include: transmitting the detected information to the smart hub by the smart defecation pad, the wearable device, and the smart bed; and transmitting, by the smart hub, the information sensed by the smart hub and the received information to the server.

In addition, the detecting may include: detecting, by the smart defecation pad, at least one of weight information, posture information, and smell information through a sensor unit; detecting, by the wearable device, at least one of motion information, sound information, body temperature information, heart rate information, location information, and posture information of the companion animal through a sensor unit; detecting, by the smart bed, at least one of image information, body temperature information, odor information, weight information, and posture information of the companion animal through a sensor unit; and detecting, by the smart hub, at least one of image information, sound information, weight information, and meal amount information of the companion animal through a sensor unit.

In addition, the motion information and the posture information are sensed by a gyro sensor, an acceleration sensor, and a geomagnetic sensor included in the wearable device.

In addition, the sensing step, the smart defecation pad measuring the water content of the stool through the water content measurement unit; And the smart defecation pad further comprises the step of measuring the amount of urine through the quantity measurement unit.

In addition, the step of the smart defecation pad detecting at least one of weight information, posture information, and smell information through the sensor unit, the smart defecation pad detecting the sound information through a voice sensor; detecting, by the smart defecation pad, at least one of the weight information and the posture information through a piezoelectric sensor; and detecting, by the smart defecation pad, an odor of at least one of urine and feces of the companion animal through an odor sensor.

In addition, the step of the wearable device detecting at least one of motion information, sound information, body temperature information, heart rate information, and posture information of the companion animal through the sensor unit may include: step; detecting, by the wearable device, location information through a location sensor; detecting, by the wearable device, heart rate information through a piezoelectric sensor; and detecting, by the wearable device, temperature information through a temperature sensor.

In addition, the step of the smart bed detecting at least one of image information, body temperature information, smell information, weight information, and posture information of the companion animal may include: detecting, by the smart bed, the image information through an image sensor; detecting, by the smart bed, body temperature information through a temperature sensor; detecting, by the smart bed, the smell information through a smell sensor; and detecting, by the smart bed, the weight information and the posture information through a piezoelectric element sensor.

The step of the smart hub detecting at least one of image information, sound information, weight information, posture information, and meal amount information of the companion animal may include: detecting, by the smart hub, the sound information through a voice sensor; detecting, by the smart hub, the image information through an image sensor; and detecting the meal amount information through the weight sensor.

The analyzing of whether the companion animal is in an abnormal state may include: deriving, by the server, at least one state value based on information received through a pre-learned algorithm; determining, by the server, whether the at least one state value is outside a preset reference range; when out of the reference range, the server re-receiving the detected information from at least one of the plurality of smart devices, and transmitting the re-received information to an AI server communicating with the server; analyzing, by the AI server, the re-received information through a deep learning algorithm, deriving at least one state value and transmitting it to the server; determining, by the server, whether the received at least one state value is outside a preset reference range; and determining, by the server, that the state of the companion animal is abnormal when it is outside the reference range.

The performing of at least one of the solution guide and the training program for the companion animal may include: generating, by the wearable device, at least one of vibration and sound through a vibration device and a speaker; determining, by the smart hub, whether the companion animal is located in the smart bed for a preset period through a position sensor of the wearable device; and controlling, by the smart hub, so that snacks are discharged from at least one of the smart hub and the smart bed, when positioned for a preset period.

In addition, the step of performing at least one of the solution guide and the training program for the companion animal may include: detecting, by the wearable device, a barking in a preset form through a voice sensor; determining, by the smart hub, whether the barking of the companion animal has stopped for a preset period of time through the voice sensor of the wearable device; generating, by the wearable device, at least one of a vibration and a sound through a vibration device and a speaker when the barking of the companion animal stops for a preset time; determining, by the smart hub, whether the companion animal is located in the smart bed for a preset period through a position sensor of the wearable device; and controlling, by the smart hub, so that snacks are discharged from at least one of the smart hub and the smart bed, when positioned for a preset period.

In addition, the preset form of barking includes at least one of a barking higher than a preset reference decibel, a barking caused by anxiety, and a barking caused by a snack request.

The step of performing at least one of the solution guide and the training program for the companion animal may include: determining, by the smart hub, whether the barking detected by the wearable device is a barking caused by anxiety; and in the case of barking due to anxiety, the compression inflation device of the wearable device surrounds and expands the companion animal.

In addition, the step of performing at least one of the solution guide and the training program for the companion animal may include: detecting, by the smart hub, at least one of an amount of feed and an amount of water consumed by the companion animal through a weight sensor ; determining, by the smart hub, whether at least one of the sensed amount of feed and water is less than or equal to a preset consumption value; and when it is determined that the consumption value is less than or equal to a preset consumption value, after the consumption of at least one of the feed and water is detected, the snack is discharged from the smart hub within a preset time.

In addition, the step of performing at least one of the solution guide and the training program for the companion animal may include: detecting, by the smart hub, at least one of an amount of feed and an amount of water consumed by the companion animal through a weight sensor ; determining, by the smart hub, whether at least one of the sensed amount of feed and water is less than or equal to a preset consumption value; blocking, by the smart hub, the feed container and the water container except for a preset time when it is determined that the consumption value is less than or equal to a preset consumption value; detecting, by the smart hub, at least one of an amount of feed and an amount of water consumed by the companion animal through a weight sensor at a time when the feed box and the water tank are opened; determining, by the smart hub, whether at least one of the detected amount of feed and amount of water is greater than or equal to a preset consumption value; and discharging the snack from the smart hub within a preset time when it is determined that the preset consumption value is higher than the preset consumption value.

The step of performing at least one of the solution guide and the training program for the companion animal may include: detecting, by the smart hub, a defecation activity of the companion animal through a sensor unit of the smart defecation pad; generating at least one of vibration and sound in the wearable device; and discharging snacks from at least one of the smart hub and the smart bed.

In addition to this, another method for implementing the present invention, another system, and a computer-readable recording medium for recording a computer program for executing the method may be further provided.

According to the present invention as described above, the companion animal can be continuously managed all the time as data collection, diagnosis, and actions according to the diagnosis result are automated and performed.

In addition, if the abnormal condition of the companion animal persists despite the provided action, the detected data can be transmitted to an expert so that the expert can provide alternative measures.

In addition, users can directly control smart devices to perform training and actions for companion animals, enabling interaction with companion animals.

In addition, since the analysis of companion animals is performed through the AI system, differences between individuals of companion animals can be corrected through big data obtained from users who use the present invention.

In addition, when a correlation between specific pattern information on companion animals and a specific disease is derived through the AI system, disease can be predicted at an early stage and treatment can be suggested based on this.

Effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the following description.

1 is a conceptual diagram illustrating a configuration of a companion animal management system according to an embodiment of the present invention.
FIG. 2 is a block diagram illustrating a specific configuration of a plurality of indoor smart devices according to FIG. 1 .
3 to 9 are conceptual views illustrating a process in which a plurality of indoor smart devices according to FIG. 1 collects data about companion animals.
10 is a flowchart illustrating a partial process of a method for managing a companion animal according to an embodiment of the present invention.
11 is a conceptual diagram of a state value provided to a user terminal.
12 is a flowchart illustrating a partial process of a method for managing a companion animal according to an embodiment of the present invention.
13 and 14 are conceptual diagrams of a diagnosis result provided to a user terminal and a training progress status.
15 to 20 are flowcharts illustrating embodiments of step S25 of FIG. 12 .

Advantages and features of the present invention and methods of achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only the present embodiments allow the disclosure of the present invention to be complete, and those of ordinary skill in the art to which the present invention pertains. It is provided to fully understand the scope of the present invention to those skilled in the art, and the present invention is only defined by the scope of the claims.

The terminology used herein is for the purpose of describing the embodiments and is not intended to limit the present invention. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, “comprises” and/or “comprising” does not exclude the presence or addition of one or more other components in addition to the stated components. Like reference numerals refer to like elements throughout, and "and/or" includes each and every combination of one or more of the recited elements. Although "first", "second", etc. are used to describe various elements, these elements are not limited by these terms, of course. These terms are only used to distinguish one component from another. Accordingly, it goes without saying that the first component mentioned below may be the second component within the spirit of the present invention.

Unless otherwise defined, all terms (including technical and scientific terms) used herein will have the meaning commonly understood by those of ordinary skill in the art to which this invention belongs. In addition, terms defined in a commonly used dictionary are not to be interpreted ideally or excessively unless specifically defined explicitly.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

Before the description, the meaning of the terms used in this specification will be briefly described. However, it should be noted that, since the description of the term is for the purpose of helping the understanding of the present specification, it is not used in the meaning of limiting the technical idea of the present invention unless explicitly described as limiting the present invention.

The “control unit 15, 23, 35, 44 or processor 55” used below executes a program stored in the memory of the device including the control unit or processor. As the stored program is executed, each operation of the device including the controller or processor may be performed.

The "communication unit 16, 24, 36, 45, 56" used below is a configuration for exchanging information between devices including the communication unit, and may include a short-range communication module and a wireless Internet module.

As a short-distance communication module, Bluetooth™, RFID (Radio Frequency Identification), Infrared Data Association (IrDA), UWB (Ultra Wideband), ZigBee, NFC (Near Field Communication), Wi-Fi (Wireless- Fidelity), Wi-Fi Direct, and at least one of Wireless Universal Serial Bus (USB) technologies may be used.

In one embodiment, a plurality of indoor smart devices 1 to be described later may communicate with each other by a short-distance communication module.

In addition, the wireless Internet module includes WLAN (Wireless LAN), Wi-Fi (Wireless-Fidelity), Wi-Fi (Wireless Fidelity) Direct, DLNA (Digital Living Network Alliance), WiBro (Wireless Broadband), WiMAX (World Interoperability for Microwave) Access), High Speed Downlink Packet Access (HSDPA), High Speed Uplink Packet Access (HSUPA), Long Term Evolution (LTE), and Long Term Evolution-Advanced (LTE-A).

In an embodiment, the plurality of indoor smart devices 1 and the cloud server 2, the expert terminal 3 and the user terminal 4 to be described later may communicate with each other by some internet module.

As used below, "pets" means animals in the care of a guardian. In an embodiment, the companion animal may be a “dog”.

Referring to FIG. 1 , a companion animal management system according to an embodiment of the present invention is illustrated.

According to this embodiment, the companion animal management system includes a plurality of smart devices 1 , a cloud server 2 , an expert terminal 3 , and a user terminal 4 that communicate with each other.

The plurality of smart devices 1 are configured to collect information about companion animals.

The plurality of smart devices 1 includes a smart hub 10 , a wearable device 20 , a smart bed 30 , a smart toilet pad 40 and a smart pet 50 .

The smart hub 10 receives information from the wearable device 20 , the smart bed 30 , the smart toilet pad 40 and the smart pet 50 , and transmits the received information to the cloud server 2 .

In an embodiment, communication between the smart hub 10 and the other plurality of smart devices 1 may be performed by short-distance communication, and communication between the smart hub 10 and the cloud server 2 may be performed by wireless Internet. .

The cloud server 2 includes a service server 60 , a database 70 , and an AI engine 80 . The service server 60 and the AI engine 80 analyze the information received from the plurality of smart devices (1). The analyzed result may be stored in the database unit 70 or transmitted to the expert terminal 3 and the user terminal 4 .

In addition, after receiving the request from the user terminal 4, the service server 60 may control the indoor smart device 1 according to the received request.

1. Description of a plurality of smart devices (1)

First, with reference to FIG. 2 , a plurality of smart devices 1 will be described in detail. The plurality of smart devices 1 collect information about companion animals and operate according to instructions from the user terminal 4 or the service server 60 .

(1) Description of the smart hub (10)

The smart hub 10 receives information collected from the other smart devices 1 and transmits it to the cloud server 2 , or receives an instruction from the cloud server 2 or the user terminal 4 to receive the information collected from the other smart devices 1 . ) are controlled.

Specifically, the smart hub 10 includes an output unit 11 , a sensor unit 12 , a feeding unit 13 , a snack dispensing unit 14 , a control unit 15 , a communication unit 16 , and a memory (not shown). include

The output unit 11 includes a display 111 that provides information in a visually recognizable form to the companion animal. In an embodiment, the controller 15 may control the image received from the user terminal 3 to be displayed through the display 111 . Also, the controller 15 may control the image received from the cloud server 2 to be displayed through the display 111 . Also, the controller 15 may control the image stored in the memory to be displayed through the display 111 .

In addition, the output unit 11 includes a speaker 112 that provides information in a form that can be recognized audibly to the companion animal. In an embodiment, the controller 15 may control the voice received from the cloud server 2 through the speaker 112 to be reproduced. In addition, the controller 15 may control to reproduce the voice received from the user terminal 3 through the speaker 112 . Also, the controller 15 may control the sound stored in the memory to be reproduced through the speaker 112 . In an embodiment, the controller 15 may control a sound (clicker) preset for training to be reproduced through the speaker 112 .

The sensor unit 12 includes a plurality of sensors capable of detecting information about companion animals.

First, the sensor unit 12 includes a voice sensor 121 . The companion animal may detect a sound generated around the smart hub 10 through the voice sensor 121 . In one embodiment, the voice sensor 121 may be disposed in proximity to the feeding unit 13 to be described later. Through this, various sounds generated when the companion animal eats can be detected.

Also, the controller 15 may control the companion animal's voice detected through the voice sensor 121 to be transmitted to the user terminal 4 in real time. Accordingly, the guardian may receive the real-time voice and image of the companion animal through the user terminal 4 .

Also, the sensor unit 12 includes an image sensor 122 . An image of the companion animal being active around the smart hub 10 may be detected through the image sensor 122 .

In an embodiment, the image sensor 122 may be disposed adjacent to the feeding unit 13 to be described later. Through this, an image of the companion animal eating may be detected.

In addition, information about the companion animal's ear movements, tail movements, gaze movements, eye blinks, mouth shapes, nose licking frequency, standing posture, repetitive behavior patterns, iris and inscriptions is detected through the image sensor 122 . can be In particular, when the image sensor 122 is installed close to the feeding unit 13, the movement of the mouth shape, iris, inscription, and gaze can be detected more accurately.

In addition, the sensor unit 12 includes a weight detection sensor 123 . At least one of the amount of feed and the amount of water consumed by the companion animal may be detected through the weight sensor 123 . In an embodiment, the weight sensor 123 may be configured to detect the weight of the feed box and the water tank.

The feeding unit 13 includes a water supply device 131 for supplying water to the companion animal and a feed supply device 132 for supplying feed to the companion animal.

In an embodiment, the water supply device 131 may be configured in such a way that water is supplied as the companion animal licks the water inlet. Also, the water supply device 131 may include a water supply unit and a water bowl. In this case, the control unit 15 may control the water supply unit to supply water to the water bowl. Through this, the amount of water supplied to the companion animal can be adjusted.

In one embodiment, the feed supply device 132 may be composed of a feed supply unit and a feed bowl. In this case, the control unit 15 may control the feed supply unit to supply the feed to the feed bowl. Through this, the amount of feed supplied to the companion animal can be adjusted.

In an embodiment not shown, the feeding unit 13 may be disposed separately from the smart hub 10 .

The snack dispensing unit 14 is configured to discharge stored snacks. In an embodiment, the controller 15 may control the snack dispensing unit 14 to discharge the snacks.

(2) Description of the wearable device 20

The wearable device 20 is worn on the companion animal and is configured to collect various information about the companion animal or provide a specific signal to the companion animal. In an embodiment, the specific signal may be at least one of sound, vibration, and a feeling of pressure due to volume expansion.

Various information collected by the wearable device 20 may be transmitted to the smart hub 10 .

Also, the wearable device 20 may receive a signal from at least one of the smart hub 10 , the cloud server 2 , and the user terminal 3 to provide a specific signal to the companion animal.

In an embodiment, the wearable device 20 may be configured in a band shape and filled on the neck of the companion animal. In addition, the wearable device 20 is configured in the form of clothes and can be worn by companion animals. However, the present invention is not limited thereto, and may be configured in various forms that can be worn on companion animals.

The wearable device 20 includes an output unit 21 , a sensor unit 22 , a control unit 23 , a communication unit 24 , and a memory (not shown).

The output unit 21 includes a speaker 211 that provides information in an aurally recognizable form to the companion animal. In an embodiment, the controller 23 may control the voice received from the cloud server 2 through the speaker 211 to be reproduced. Also, the controller 23 may control the voice received from the user terminal 3 to be reproduced through the speaker 211 . Also, the controller 23 may control the sound stored in the memory to be reproduced through the speaker 211 . In an embodiment, the controller 23 may control a sound (clicker) preset for training to be reproduced through the speaker 211 .

In addition, the output unit includes a vibration device 213 that provides vibration in a tactile form recognizable to the companion animal. Similar to the speaker 211 described above, the controller 23 may control the vibration in the form of vibration provided from the cloud server 2 and the user terminal 3, preset vibration in the memory through the vibration device 213 to be output. .

In an embodiment, the controller 23 may control the vibration (clicker) preset for training to be reproduced through the vibration device 213 .

The sensor unit 22 includes a plurality of sensors capable of detecting information about companion animals.

First, the sensor unit 22 includes a voice sensor 221 . The voice sensor 221 may detect a sound generated by the companion animal while it is active. In an embodiment, the voice sensor 221 may be disposed adjacent to the neck of the companion animal. Through this, various sounds generated by the companion animal can be detected. In particular, it can detect pets barking, breathing, and growling in detail.

In addition, the sensor unit 22 includes a gyro sensor 222 (gyro sensor), an acceleration sensor 223 (acceleration sensor), and a terrestrial magnetism sensor 224 (terrestrial magnetism sensor). The gyro sensor 222 is configured to measure an angular velocity generated when the gyro sensor 222 moves with respect to a preset axis (X, Y, Z). The acceleration sensor 223 is configured to measure an acceleration applied with respect to a preset axis (X, Y, Z). In addition, the geomagnetic sensor 224 may measure the degree of inclination of the geomagnetic sensor 224 with respect to the North Pole of the earth by measuring a magnetic field around the sensor.

As the geomagnetic sensor 224 is included, it is possible to measure the posture and motion of the companion animal more precisely even in a state where the movement of the companion animal is small.

In an embodiment, posture and activity information of the companion animal may be measured by the gyro sensor 222 , the acceleration sensor 223 , and the geomagnetic sensor 224 .

In addition, the sensor unit 22 includes a positioning sensor 225 configured to detect the position of the companion animal. In an embodiment, the controller 23 may calculate whether the companion animal approaches the smart hub 10 , the smart bed 30 , the smart toilet pad 40 , and the smart pet 50 . In addition, in one embodiment, the smart hub 10 includes the companion animal based on the location information received from the wearable device 20 , the smart hub 10 , the smart bed 30 , the smart toilet pad 40 , and the smart pet. It is possible to calculate whether or not it approaches (50).

In addition, the sensor unit 22 includes a piezoelectric sensor 226 configured to sense the heart rate of the companion animal. In an embodiment, the piezoelectric element sensor 226 may detect the pressure applied as the heartbeat of the companion animal is generated by converting it into an electrical signal. The controller 23 may calculate the heart rate of the companion animal by using the sensed electrical signal.

In addition, the sensor unit 22 includes a temperature sensor 227 that detects the body temperature of the companion animal. In an embodiment, the temperature sensor 227 may be configured to sense a temperature transmitted from the companion animal while in contact with the companion animal.

In addition, the sensor unit 12 includes a weight detection sensor 123 . At least one of the amount of feed and the amount of water consumed by the companion animal may be detected through the weight sensor 123 . In an embodiment, the weight sensor 123 may be configured to detect the weight of the feed box and the water tank.

(3) Description of the smart bed (30)

The smart bed 30 is configured to provide a predetermined space for the companion animal to rest. The smart bed 30 is named with the term "bed", but is not limited to the shape of the bed. For example, the smart bed 30 may be configured in the form of a cushion. In addition, the smart bed 30 may be configured in various forms that can provide comfort to companion animals.

Specifically, the smart bed 30 includes a sensor unit 31 , an odor generating unit 32 , a temperature control unit 33 , a snack dispensing unit 34 , a control unit 35 , a communication unit 36 , and a memory (not shown). ) is included.

The sensor unit 31 includes a plurality of sensors capable of detecting information about companion animals.

First, the sensor unit 31 includes a smell sensor 311 . The smell generated by the companion animal may be detected through the smell sensor 311 . In an embodiment, the smell sensor 311 may be configured to detect a specific component generated in the companion animal. In an embodiment, the body odor of the companion animal generated when the companion animal sleeps or rests may be detected through the odor detection sensor 311 .

In addition, the sensor unit 31 includes a piezoelectric sensor 312 configured to detect the weight and sleeping posture of the companion animal. In an embodiment, the piezoelectric element sensor 312 may detect the pressure applied to the smart bed 30 by converting the pressure applied to the smart bed 30 into an electrical signal when the companion animal is positioned on the smart bed 30 . The controller 23 may calculate the weight of the companion animal by using the sensed electrical signal.

In addition, since the distribution of pressure applied to the smart bed 30 can be sensed in the sleeping posture of the companion animal, the sleeping posture of the companion animal can be determined using the information sensed by the pressure element sensor 312 .

Also, the sensor unit 31 includes an image sensor 313 . An image of an activity of the companion animal in the smart bed 30 may be detected through the image sensor 313 .

In an embodiment, the smart bed 30 may be configured in a form with a roof, and the image sensor 313 may be configured to photograph a direction from the roof toward the companion animal. Through this, images regarding the resting posture and sleeping posture of the companion animal may be detected.

Also, the movement of the ears and the movement of the tail when the companion animal sleeps may be detected through the image sensor 313 .

In addition, the sensor unit 31 includes a temperature sensor 314 that detects the body temperature of the companion animal. In one embodiment, the smart bed 30 may be configured in the form of a roof, and the temperature sensor 314 detects the temperature transmitted from the companion animal in a state of non-contact with the companion animal inside the smart bed 30 . can be configured to

The odor generating unit 32 is configured to spray a preset compound stored in the odor generating unit 32 . In an embodiment, the preset and stored compound may be a compound having an effect of stabilizing the companion animal. The control unit 35 may control the compound to be sprayed from the odor generating unit 32 .

The temperature control unit 33 is configured to control the temperature of the smart bed 30 . In an embodiment, the temperature control unit 33 may be configured to increase or decrease the temperature of a portion of the smart bed 30 that supports the companion animal. The controller 35 may control the temperature of the temperature controller 33 to rise or fall.

The snack dispensing unit 34 is configured to discharge stored snacks. In one embodiment, the control unit 35 may control the snack to be discharged from the snack dispensing unit 34 .

(4) Description of the smart defecation pad (40)

The smart defecation pad 40 is configured to provide a predetermined space for the companion animal to defecate. In one embodiment, the smart defecation pad 40 may include a thin pad of a predetermined area.

Specifically, the smart defecation pad 40 includes a sensor unit 41, a water content measurement unit 42, a quantity measurement unit 43, a control unit 44, a communication unit 45, and a memory (not shown).

The sensor unit 41 includes a plurality of sensors capable of detecting information about companion animals.

First, the sensor unit 41 includes a smell sensor 411 . The odor detection sensor 411 may detect a smell generated from the bowel movement of the companion animal. In an embodiment, the odor sensor 411 may be configured to detect a specific component generated in at least one of feces and urine of a companion animal. In an embodiment, the smell generated from the feces and urine of the companion animal may be detected through the smell sensor 411 . In one embodiment, the odor detection sensor 411 is configured to detect the amount of spray of the compound generated in the feces and urine of the companion animal.

In addition, the sensor unit 41 includes a piezoelectric sensor 412 configured to detect a bowel movement posture of the companion animal. In an embodiment, the piezoelectric element sensor 412 may detect by converting the pressure applied to the smart defecation pad 40 into an electrical signal when the companion animal is positioned on the smart defecation pad 40 . The controller 44 may calculate the weight of the companion animal by using the sensed electrical signal.

In addition, since the distribution of pressure applied to the smart defecation pad 40 can be detected in the toilet posture of the companion animal, the toilet posture of the companion animal can be determined using the information detected by the pressure element sensor 412 .

Also, the sensor unit 41 includes an image sensor 413 . An image of a companion animal defecating on the smart defecation pad 40 may be detected through the image sensor 413 .

The water content measurement unit 42 is configured to measure the water content contained in the feces of the companion animal. In an embodiment, the moisture content measuring unit 42 may be configured to sense the weight of moisture generated by pressing the feces of the companion animal and the weight of the entire feces. In this case, the control unit 44 may calculate the water content through the ratio of the weight of the water to the weight of the entire feces.

The quantity measuring unit 43 is configured to measure the amount of urine of the companion animal. In an embodiment, the water content measurement unit 42 may be configured to detect the weight of urine.

(5) Description of the smart pet (50)

The smart pet 50 is a device in a form that imitates the shape of a companion animal used for training or play of the companion animal.

Specifically, the smart pet 50 is provided with a driving unit in the shape of the companion animal to imitate the outer shape. In one embodiment, the driving unit may be formed in a shape of a leg or a wheel that can be moved by the rotation of the joint. The smart pet 50 includes a driving motor 51 for driving the driving unit.

In addition, the smart pet 50 includes a snack dispensing device 52 , a speaker 53 , an image sensor 54 , a processor 55 , a communication device 56 , and a memory.

The snack dispensing device 52 is configured to discharge stored snacks. In an embodiment, the processor 35 may control the snacks to be discharged from the snack dispensing device 52 .

The speaker 53 provides information in a form that can be recognized audibly to the companion animal. In an embodiment, the processor 55 may control the voice received from the cloud server 2 through the speaker 53 to be reproduced. In addition, the processor 55 may control the voice received from the user terminal 3 to be reproduced through the speaker 53 . In addition, the processor 55 may control the sound stored in the memory to be reproduced through the speaker 53 . In an embodiment, the processor 55 may control a sound (clicker) preset for training to be reproduced through the speaker 53 .

The image sensor 54 is configured to detect an active image of the companion animal.

In an embodiment, the image sensor 54 may be disposed on a portion corresponding to the head of the smart pet 50 .

In an embodiment, the processor 55 may control the driving motor 51 so that the image sensor 54 faces the companion animal.

Information about the companion animal's ear movements, tail movements, gaze movements, eye blinks, mouth shapes, nose licking frequency, standing posture, repetitive behavior patterns, iris and inscriptions can be detected through the image sensor 54 . there is.

In particular, since the image sensor 54 can move according to the driving of the smart pet 50 , various states of the companion animal can be detected as images. Specifically, whether the repetitive behavior pattern is performed may be detected more precisely.

However, in some embodiments, the plurality of indoor smart devices 1 may include fewer or more components than the components shown in FIG. 2 .

2. Description of information collection of a plurality of smart devices (1)

Hereinafter, an information collection process of the plurality of smart devices 1 will be described in detail with reference to FIGS. 3 to 9 .

Referring to FIG. 3 , an image about a companion animal is detected by the smart hub 10 , the smart bed 30 , the smart defecation pad 40 , and the smart pet 50 .

As described above, through the image information sensed through the smart hub 10, the smart bed 30, the smart defecation pad 40, and the smart pet 50, the movement of the ears, the tail, and the gaze of the companion animal. At least one of movement, eye blinking, mouth shape, nose licking frequency, sleeping posture, defecation posture, standing posture, repetitive behavior pattern, activity, walking pattern, iris, and inscription may be derived.

Referring to FIG. 4 , a sound related to a companion animal is sensed by the smart hub 10 and the wearable device 20 .

As described above, through the smart hub 10 and the wearable device 20, at least among the growl, barking, howling, breathing, moan, heartbeat, repeating sound of a specific pattern, and sleeping sound of a companion animal through the smart hub 10 and the wearable device 20 . One can be detected.

Referring to FIG. 5 , the heartbeat, weight, and posture of the companion animal are sensed by the wearable device 20 , the smart bed 30 , and the smart defecation pad 40 .

As described above, by the wearable device 20, the smart bed 30, and the smart defecation pad 40, at least one of the companion animal's heart rate, heartbeat intensity, weight, sleeping posture, and defecation posture can be detected. there is.

Referring to FIG. 6 , the body temperature of the companion animal is sensed through the wearable device 20 and the smart bed 30 .

As described above, through the wearable device 20 and the smart bed 30, at least one of the companion animal's normal body temperature, sleeping body temperature, and excited body temperature is sensed.

Referring to FIG. 7 , the smell of the companion animal is sensed through the smart bed 30 and the smart defecation pad 40 .

As described above, the body odor, feces odor, and urine odor of the companion animal may be detected through the smart bed 30 and the smart defecation pad 40 .

Referring to FIG. 8 , posture and activity information of a companion animal is sensed by the wearable device 20 .

As described above, the activity level and posture of the companion animal in the stationary and operating state of the companion animal may be sensed by the wearable device 20 . The activity level and posture of the companion animal sensed by the wearable device 20 may be used to calculate the amount of calories consumed by the companion animal, whether an operation that applies a strain to the joint is performed, and the like.

Referring to FIG. 9 , at least one of feed intake and water intake of the companion animal is sensed by the smart hub 10 .

3. Description of cloud server (2), expert terminal (3) and user terminal (4)

The cloud server 2 includes a service server 60 , a database 70 , and an AI engine 80 .

In an embodiment, the cloud server 2 may be configured as Amazon Web Service (AWS). However, the present invention is not limited thereto, and the cloud server 2 may be composed of various types of Software As A service (SaaS).

The service server 60 may be configured to primarily analyze information received by the smart device 1 . At least one state value may be derived from the received information using a pre-learned algorithm included in the service server 60 . In this regard, it will be described in detail later with reference to FIG. 11 .

When the primarily derived state value is outside the preset reference range, the service server 60 re-receives information from the smart device 1, and then transmits the re-received information to the AI engine 80 for secondary analysis. can

The AI engine 80 is configured to analyze the information re-received by the deep learning algorithm.

In an embodiment, the AI engine 80 may be configured with various types of AIas (AI As A Service).

In an embodiment, the AI engine 80 includes a deep learning algorithm that is learned based on data collected by a group of experts (eg, veterinarians) and data collected from smart devices of various users.

At least one state value may be derived from the re-received information using a deep learning algorithm included in the AI engine 80 . In this regard, it will be described in detail later with reference to FIG. 11 .

When the state value is outside the preset reference range, the service server 60 converts the derived state value into visual data and transmits it to the user terminal 4 .

The database 70 stores a solution guide and a training program capable of returning the derived at least one abnormal state value to a preset range.

As the state value is out of the preset reference range, the service server 60 may transmit a solution guide and a training program from the database 70 to the user terminal 3 .

Also, the service server 60 may transmit information about a state value out of a preset reference range to the affiliated expert terminal 3 . Through this, the condition of the companion animal can be accurately determined by professional personnel such as a veterinarian. The information determined by the professional manpower may be transmitted to the AI engine 80 and used for learning. In addition, the information determined by the expert may be transmitted to the user terminal 4 or transmitted to the service server 60 and stored in the database 70 .

The expert terminal 3 and the user terminal 4 may be electronic devices capable of communicating with the cloud server 2 and displaying the received information in a visually recognizable form. For example, the expert terminal 3 and the user terminal 4 may be configured with a PC, a smart phone, a laptop computer, a tablet PC, or the like.

The user terminal 4 may control a plurality of smart devices 1 connected to the user terminal 4, and whether to directly execute the solution guide and training program received from the cloud server 2 or the cloud server 2 You can select whether or not to run automatically according to the program stored in the .

4. Description of a companion animal management method according to an embodiment of the present invention

10 to 18 , a detailed process of a companion animal management method according to an embodiment of the present invention is illustrated. The companion animal management method according to the present embodiment includes analyzing the state of the companion animal by using the collected information (S10) and performing a fish or training corresponding to the analyzed state (S20).

(1) Description of analysis (S10) using the collected information

First, with reference to FIGS. 10 and 11 , the step ( S10 ) of analyzing the state of the companion animal by using the collected information will be described in detail.

First, information on companion animals is collected from a plurality of smart devices 1 connected to the cloud server 2 (S11).

The process of collecting information is as follows.

First, at least one of the plurality of smart devices 1 transmits at least one of image information, motion information, sound information, body temperature information, heart rate information, smell information, weight information, posture information, and meal amount information of the companion animal through the sensor unit. to detect

Specifically, information on companion animals is detected by the smart hub 10 , the wearable device 20 , the smart bed 30 , the smart toilet pad 40 , and the smart pet 50 .

In addition, the process of each device detecting information is as follows.

The smart defecation pad 40 detects at least one of weight information, posture information, and smell information through the sensor unit 41 .

In addition, the wearable device 20 senses at least one of motion information, sound information, body temperature information, heart rate information, location information, and posture information of the companion animal through the sensor unit 22 .

In addition, the smart bed 30 detects at least one of image information, body temperature information, odor information, weight information, and posture information of the companion animal through the sensor unit 31 .

In addition, the smart hub 10 detects at least one of image information, sound information, weight information, and meal amount information of the companion animal through the sensor unit 12 .

In addition, the smart pet 50 detects image information about the companion animal through the image sensor 54 .

The process of each device detecting information and the information sensed by each device have already been described in the process of describing the companion animal management system according to the present invention, and thus redundant descriptions will be omitted.

Additionally, the water content of the companion animal's stool and the amount of urine may be measured by the smart defecation pad 40 .

The information sensed by the plurality of smart devices 1 is transmitted to the cloud server 2 .

In one embodiment, information detected by the smart toilet pad 40, the wearable device 20, the smart bed 30, and the smart pet 50 is transmitted to the smart hub 10, and to the smart hub 10 The received information and the information sensed by the smart hub 10 are transmitted to the cloud server 2 .

When the detected information is transmitted to the cloud server 2, the cloud server 2 analyzes the detected information through a pre-learned algorithm (S12).

In an embodiment, the service server 60 may analyze the sensed information through a pre-learned algorithm.

At least one state value may be derived through analysis, and the cloud server 2 determines whether the derived state value is outside a preset range (S13).

Referring to FIG. 11 , state values according to an exemplary embodiment are shown.

First, the cloud server 2 may analyze the sensed information to derive information on the psychological and behavioral state of the companion animal. For example, it is possible to determine whether the activity state is excessive (attention) or a normal state by deriving a numerical value for the activity information of the companion animal. In addition, it is possible to derive state values for the degree of depression, anger, instability, barking, and sleep time of companion animals.

In an embodiment, the state value may be derived in consideration of at least one of a species, a genetic disease, and a personality of the companion animal. For example, for a species having low activity on average compared to other species, a preset reference range for activity may be set to be relatively low.

Referring back to FIG. 10 , when the derived state value is outside the preset reference range, the cloud server 2 re-collects information from the plurality of smart devices 1 and transfers the re-collected information to the AI machine 80 . transmit (S15).

The AI machine 80 analyzes the received information through the deep learning model (S16).

In one embodiment, the AI machine 80 derives at least one state value using the collected information.

When the derived at least one state value is outside the preset reference range, the cloud server 2 determines the state of the companion animal as an abnormal state (S18).

(2) Description of coping or training (S20)

Hereinafter, a step ( S20 ) of coping with an abnormal state and performing training will be described with reference to FIGS. 12 to 20 .

First, the cloud server 2 visualizes the information about the abnormal state and provides it to the user terminal 4 (S21).

Referring to FIG. 13 , an embodiment of information provided to the user terminal 4 is illustrated. The user terminal 4 displays the activity level, the depression level, the anger level, the level of instability, and the degree deviating from the standard range.

In addition, information on the symptoms of the companion animal and a solution method may be displayed on the user terminal 4 . For example, the symptoms may include separation anxiety, fear of external sounds, demanding barking, excessive stress, and the like. In addition, the symptoms may be displayed in an order that greatly deviates from the preset reference range.

Referring back to FIG. 12 , the cloud server 2 transmits at least one of a solution guide and a training program for resolving the abnormal state to the user terminal 4 ( S22 ).

For example, for separation anxiety, "Follow the expert's guide to solving separation anxiety and proceed with automatic training program #1." Along with the text “Separation Anxiety Resolving Guide and Automatic Training Program No. 1,” may be provided in the form of video information. Likewise, texts and images may be provided for resolution guides and training programs in response to fear of external sounds, demanding barking, and excessive stress.

When at least one of the solution guide and the training program is provided, the user may select whether to directly perform at least one of the guide and the program provided by the user through the user terminal 3 ( S23 ).

If it is selected not to directly perform, the cloud server 2 uses at least one of the plurality of smart devices 1 to perform at least one of a solution guide and a training program for the companion animal (S25).

The cloud server 2 controls the plurality of smart devices 1 to perform at least one of a solution guide and a training program provided through a pre-designed program.

In addition, if it is selected to be performed directly, the user directly controls the plurality of smart devices 1 connected to the cloud server 2 through the user terminal 4 to perform at least one of the provided solution guide and training program (S24) ).

When at least one of the provided solution guide and training program is completed, the cloud server 2 calculates at least one state value based on the re-collected information, and the calculated at least one state value is within a preset reference range. It is determined whether it is (S26).

That is, the cloud server 2 determines whether the abnormal state is changed to the normal state by at least one of the performed solution guide and the training program.

If the abnormal state persists, the cloud server 2 provides at least one of an alternative solution guide and an alternative training program to the user terminal 4 (S27).

When the abnormal state is restored to the normal state, the cloud server 2 transmits the action result and the training result to the user terminal 4 to the user terminal 4 (S28).

In one embodiment, the cloud server 2 may provide the user terminal 4 with information about the currently ongoing action and training in real time. 14 , it is displayed that “positive reinforcement training through snacks” and measures to play music that give a sense of stability are being taken for the abnormal state corresponding to “separation anxiety.” Also, for the current “disadvantageous anxiety” The derived state value, whether it is within a preset reference range, the progress state of measures and training, and the remaining time may be displayed.

15 to 20 , embodiments of the above-described step S25 are illustrated.

Referring to FIG. 15 , a training process for recognizing the smart bed 30 as a space with a sense of stability is shown.

First, the wearable device 20 generates at least one of vibration and sound through the vibration device 213 and the speaker 211 ( S2511 ).

Then, the smart hub 10 determines whether the companion animal is located in the smart bed 30 for a preset period through the position sensor 225 of the wearable device 20 (S2512, S2513).

When positioned for a preset period, the smart hub 10 controls the snack to be discharged from at least one of the smart hub 10 , the smart bed 30 and the smart pet 50 ( S2514 ).

Referring to FIG. 16 , a training process for an abnormal barking behavior of a companion animal is illustrated.

First, the wearable device 20 detects a barking in a preset form through the voice sensor 221 ( S2521 ).

Then, the smart hub 10 determines whether the barking of the companion animal has stopped for a preset time through the voice sensor 221 of the wearable device 20 ( S2522 ).

When the companion animal's barking stops for a preset time, the wearable device 20 generates at least one of vibration and sound through the vibration device 213 and the speaker 211 ( S2523 ).

Then, the smart hub 10 determines whether the companion animal is located in the smart bed 30 for a preset period through the position sensor 225 of the wearable device 20 ( S2524 and S2525 ).

When it is positioned for a preset period, the smart hub 10 controls so that snacks are discharged from at least one of the smart hub 10 , the smart bed 30 and the smart pet 50 ( S2526 ).

In an embodiment, the preset form of barking may include at least one of a barking higher than a preset reference decibel, a barking caused by anxiety, and a barking caused by a snack request.

Referring to FIG. 17 , a modified example of the training method according to FIG. 16 is shown. Referring to FIG. 17 , when a barking caused by anxiety is detected ( S2532 ), the process further includes a process of expanding the compression expansion device 212 of the wearable device 20 ( S2533 ). If your pet's instability increases, you can relieve the anxiety by compressing the pet through inflation. Since the other processes have been described with reference to FIG. 17, a duplicate description will be omitted.

Referring to FIG. 18 , when the companion animal does not consume excessively feed and water, a training process capable of increasing the feed and water intake of the companion animal is illustrated.

First, the smart hub 10 detects at least one of the amount of feed and the amount of water consumed by the companion animal through the weight sensor 123 ( S2541 ).

Then, the smart hub 10 determines whether at least one of the sensed amount of feed and water is less than or equal to a preset consumption value (S2542).

When it is determined that the consumption value is less than the preset consumption value, after consumption of at least one of feed and water is detected (S2543), the snack is discharged from the smart hub 10 within a preset time (S2544).

Through this, it is possible to teach the companion animal that the snack is discharged after ingesting feed or water, thereby increasing the amount of feed or water intake of the companion animal.

Referring to FIG. 19 , when the intake amount of at least one of feed and water of the companion animal is less than or equal to a preset reference value, a training process for limiting an intake time of at least one of feed and water is illustrated.

First, the smart hub 10 detects at least one of the amount of feed and the amount of water consumed by the companion animal through the weight sensor 123 ( S2551 ).

Then, the smart hub 10 determines whether at least one of the sensed amount of feed and water is less than or equal to a preset consumption value (S2552).

When it is determined that the consumption value is less than the preset consumption value, the smart hub 10 blocks the feed container and the water container except for the preset time (S2553).

When the companion animal learns that the feed container and the water container are opened only for a preset time, the companion animal may be induced to consume at least one of feed and water during the open time.

At a time when the feed box and the water tank are opened, the smart hub 10 detects at least one of the amount of feed and the amount of water consumed by the companion animal through the weight sensor 123 ( S2554 ).

The smart hub 10 determines whether at least one of the detected amount of feed and the amount of water is greater than or equal to a preset consumption value (S2554). Snacks are discharged (S2555, S2556).

Through this, it is possible to induce the companion animal to consume at least one of feed and water at an open time, and to teach the companion animal the positive perception that the snack is discharged after ingesting the food or water. intake may be increased.

Referring to Figure 20, the toilet training process of the companion animal is shown.

First, the smart hub 10 detects the bowel movement of the companion animal through the sensor unit 41 of the smart defecation pad 40 (S2561).

When defecation activity is detected, at least one of vibration and sound is generated in the wearable device 20 (S2562), and snacks are discharged from at least one of the smart hub 10, the smart bed 30, and the smart pet 50 (S2563).

Through this, it is possible to teach the companion animal a positive perception that snacks are discharged when defecating on the smart toilet pad, thereby suppressing the companion animal from defecating in a place other than the smart toilet pad.

The training process described with reference to FIGS. 15 to 20 may be performed by the user controlling each of the smart devices 1 through the user terminal 4 .

The companion animal management method according to the embodiment of the present invention described above differs from the companion animal management system described with reference to FIGS. 1 to 9 only in the category of the invention, and since the content is the same, overlapping descriptions and examples will be omitted.

The method according to an embodiment of the present invention described above may be implemented as a program (or application) to be executed in combination with a server, which is hardware, and stored in a medium.

The above-described program is C, C++, JAVA, machine language, etc. that a processor (CPU) of the computer can read through a device interface of the computer in order for the computer to read the program and execute the methods implemented as a program It may include code (Code) coded in the computer language of Such code may include functional code related to a function defining functions necessary for executing the methods, etc., and includes an execution procedure related control code necessary for the processor of the computer to execute the functions according to a predetermined procedure. can do. In addition, the code may further include additional information necessary for the processor of the computer to execute the functions or code related to memory reference for which location (address address) in the internal or external memory of the computer to be referenced. there is. In addition, when the processor of the computer needs to communicate with any other computer or server located remotely in order to execute the above functions, the code uses the communication module of the computer to determine how to communicate with any other computer or server remotely. It may further include a communication-related code for whether to communicate and what information or media to transmit and receive during communication.

The storage medium is not a medium that stores data for a short moment, such as a register, a cache, a memory, etc., but a medium that stores data semi-permanently and can be read by a device. Specifically, examples of the storage medium include, but are not limited to, ROM, RAM, CD-ROM, magnetic tape, floppy disk, and an optical data storage device. That is, the program may be stored in various recording media on various servers accessible by the computer or in various recording media on the computer of the user. In addition, the medium may be distributed in a computer system connected to a network, and a computer-readable code may be stored in a distributed manner.

The steps of a method or algorithm described in relation to an embodiment of the present invention may be implemented directly in hardware, as a software module executed by hardware, or by a combination thereof. A software module may contain random access memory (RAM), read only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, hard disk, removable disk, CD-ROM, or It may reside in any type of computer-readable recording medium well known in the art to which the present invention pertains.

In the above, embodiments of the present invention have been described with reference to the accompanying drawings, but those of ordinary skill in the art to which the present invention pertains can realize that the present invention can be embodied in other specific forms without changing the technical spirit or essential features thereof. you will be able to understand Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive.

1: Smart device
10: Smart Hub
20: wearable device
30: smart bed
40: smart toilet pad
50: smart pet
2: Cloud Server
60: service server
70: database
80: AI engine
3: expert terminal
4: User terminal

Claims (10)

A method performed by a cloud server (hereinafter, "server") capable of communicating with each other, a plurality of smart devices and user terminals disposed in an indoor space in which companion animals live,
Detecting, by at least one of the plurality of smart devices, at least one of image information, motion information, sound information, body temperature information, heart rate information, smell information, weight information, posture information, and meal amount information of the companion animal through a sensor unit ;
receiving, by the server, detected information from at least one of the plurality of smart devices;
analyzing, by the server, whether the companion animal is in an abnormal state based on the sensed information;
transmitting, by the server, at least one of a solution guide and a training program corresponding to the abnormal state to the user terminal;
selecting, by the user terminal, whether to directly perform at least one of the solution guide and the training program; and
When it is selected not to directly perform, the server uses at least one of the plurality of smart devices to perform at least one of the solution guide and the training program for the companion animal,
An intelligent companion animal management method based on the psychological and behavioral analysis of indoor companion animals through the Internet of Things. According to claim 1,
The plurality of smart devices,
a smart defecation pad that provides a predetermined space for defecation to the companion animal;
a wearable device worn on the companion animal;
a smart bed providing a predetermined space for sleeping to the companion animal;
A smart hub that communicates with the smart defecation pad, the wearable device, and the smart bed, and supplies at least one of feed and water to the companion animal; including,
An intelligent companion animal management method based on the psychological and behavioral analysis of indoor companion animals through the Internet of Things. 3. The method of claim 2,
The detecting step is
detecting, by the smart defecation pad, at least one of weight information, posture information, and smell information through a sensor unit;
detecting, by the wearable device, at least one of motion information, sound information, body temperature information, heart rate information, location information, and posture information of the companion animal through a sensor unit;
detecting, by the smart bed, at least one of image information, body temperature information, odor information, weight information, and posture information of the companion animal through a sensor unit; and
detecting, by the smart hub, at least one of image information, sound information, weight information, and meal amount information of the companion animal through a sensor unit,
The motion information and the posture information are detected by a gyro sensor, an acceleration sensor, and a geomagnetic sensor included in the wearable device,
An intelligent companion animal management method based on the psychological and behavioral analysis of indoor companion animals through the Internet of Things. According to claim 1,
The step of analyzing whether the companion animal is in an abnormal state,
deriving, by the server, at least one state value based on information received through a pre-learned algorithm;
determining, by the server, whether the at least one state value is outside a preset reference range;
When out of the reference range, the server re-receiving the detected information from at least one of the plurality of smart devices, and transmitting the re-received information to an AI server communicating with the server;
analyzing, by the AI server, the re-received information through a deep learning algorithm, deriving at least one state value and transmitting it to the server;
determining, by the server, whether the received at least one state value is outside a preset reference range; and
Comprising the step of determining, by the server, the state of the companion animal as an abnormal state when it is out of the reference range,
An intelligent companion animal management method based on the psychological and behavioral analysis of indoor companion animals through the Internet of Things. 3. The method of claim 2,
The step of performing at least one of the solution guide and the training program for the companion animal,
generating, by the wearable device, at least one of vibration and sound through a vibration device and a speaker;
determining, by the smart hub, whether the companion animal is located in the smart bed for a preset period through a position sensor of the wearable device; and
Comprising the step of controlling, by the smart hub, so that snacks are discharged from at least one of the smart hub and the smart bed when positioned for a preset period,
An intelligent companion animal management method based on the psychological and behavioral analysis of indoor companion animals through the Internet of Things. 3. The method of claim 2,
The step of performing at least one of the solution guide and the training program for the companion animal,
detecting, by the wearable device, a pre-set type of barking through a voice sensor;
determining, by the smart hub, whether the barking of the companion animal has stopped for a preset period of time through the voice sensor of the wearable device;
generating, by the wearable device, at least one of vibration and sound through a vibration device and a speaker when the barking of the companion animal stops for a preset time;
determining, by the smart hub, whether the companion animal is located in the smart bed for a preset period through a position sensor of the wearable device; and
Comprising the step of controlling, by the smart hub, so that snacks are discharged from at least one of the smart hub and the smart bed when positioned for a preset period,
An intelligent companion animal management method based on the psychological and behavioral analysis of indoor companion animals through the Internet of Things. 7. The method of claim 6,
The step of performing at least one of the solution guide and the training program for the companion animal,
determining, by the smart hub, whether the barking detected by the wearable device is barking due to anxiety; and
In the case of barking due to anxiety, comprising the step of expanding the compression expansion device of the wearable device to surround the companion animal,
An intelligent companion animal management method based on the psychological and behavioral analysis of indoor companion animals through the Internet of Things. 3. The method of claim 2,
The step of performing at least one of the solution guide and the training program for the companion animal,
detecting, by the smart hub, at least one of an amount of feed and an amount of water consumed by the companion animal through a weight sensor;
determining, by the smart hub, whether at least one of the sensed amount of feed and water is less than or equal to a preset consumption value; and
When it is determined that the consumption value is less than or equal to a preset consumption value, after the consumption of at least one of the feed and water is sensed, the step of discharging snacks from the smart hub within a preset time,
An intelligent companion animal management method based on the psychological and behavioral analysis of indoor companion animals through the Internet of Things. 3. The method of claim 2,
The step of performing at least one of the solution guide and the training program for the companion animal,
detecting, by the smart hub, at least one of an amount of feed and an amount of water consumed by the companion animal through a weight sensor;
determining, by the smart hub, whether at least one of the sensed amount of feed and water is less than or equal to a preset consumption value;
blocking, by the smart hub, the feed container and the water container except for a preset time when it is determined that the consumption value is less than or equal to a preset consumption value;
detecting, by the smart hub, at least one of an amount of feed and an amount of water consumed by the companion animal through a weight sensor at a time when the feed box and the water tank are opened;
determining, by the smart hub, whether at least one of the detected amount of feed and amount of water is greater than or equal to a preset consumption value; and
Comprising the step of discharging snacks within a preset time from the smart hub when it is determined that the consumption value is higher than the preset consumption value,
An intelligent companion animal management method based on the psychological and behavioral analysis of indoor companion animals through the Internet of Things. In combination with a computer, which is hardware, stored in a medium for executing the method of any one of claims 1 to 9,
program.

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