KR20220118171A - System and method for managing companion animal based on IoT - Google Patents

Abstract

The present invention relates to a smart pet appliance IoT health management system including: a motion/time measuring unit that detects a motion of a companion animal and measures a time when the motion is detected; a weight/time measuring unit that measures the weight of the companion animal and measures the time at which the weight is measured; a feeding amount/time measuring unit for measuring the feeding amount of the companion animal and measuring the time during which the feeding amount is measured; a water supply/time measuring unit for measuring the amount of water supplied to the companion animal and measuring the time during which the water supply amount is measured; a smart device including a transceiver for receiving a value detected or measured by at least one of the motion/time measuring unit, the weight/time measuring unit, the feeding amount/time measuring unit, and the water supply/time measuring unit; and a server that detects health abnormalities of the companion animal by receiving the detected or measured value from the smart device. The server performs: measuring the behavior pattern by using the value detected or measured by the motion/time measuring unit as an input and using a behavior pattern measuring model; measuring sleep time and sleep patterns by using values detected or measured by the motion/time measuring unit and the weight/time measuring unit as inputs and using a sleep time/pattern measuring model; and measuring health abnormalities by using values detected or measured by the feeding amount/time measuring unit and the water supply amount/time measuring unit, the behavior pattern, the sleep time, and the sleep pattern as inputs and using a health abnormality measuring model.

Description

Smart pet supplies IoT health management system and method {System and method for managing companion animal based on IoT}

The present invention relates to a smart pet equipment IoT health management system and method, and a smart pet equipment IoT health management system that enables health management of companion animals by receiving a detected or measured value from a cat tower, a pet house, or a pet feeder. and methods.

Recently, the companion animal-related industry market is growing significantly due to the increase in national income, aging and low birth rates, and the increase in single-person households. ) and other technologies, the pet tech market is also growing along with it.

Pettech products focus on companion animal toys, companion animal monitoring, smart house, smart dispenser, etc., but as the awareness of companion animals as a member of the household increases and the burden of treatment costs for diseases increases, pettech products for health care This is a necessary situation.

In the modern society where there are many social activities, it is difficult for guardians to directly and continuously manage companion animals, and concerns about monitoring, health check, and stress management of companion animals left alone when going out are increasing in common.

Unexamined Patent Publication No. 10-2020-0011102 relates to an IoT-based smart pet management system, which provides current information about pets to the manager's terminal so that the status of the pet can be grasped in the event of an emergency, and when the manager is absent In order to prevent the anxiety of the pet, the pet feeding device that outputs the image and sound signal of the manager is provided, but there is a problem in monitoring the health of the pet.

Korean Patent Application Laid-Open No. 10-2017-0014683 relates to an activity-based companion animal management device that measures the status of companion animals through an activity sensor, a temperature sensor, a heart rate sensor, and a microphone, but is detected by the sensor. There is a problem in that there is a lack of precision in monitoring the health management of companion animals as the activity amount, body temperature, heart rate, and voice are individually analyzed.

Unexamined Patent Publication No. 10-2020-0062754 relates to a companion animal smart management device, which measures indoor temperature and humidity, illuminance, oxygen content, air mass, water level, microorganism content, protein content, salinity, acid alkali concentration, and camera data. Although the state of the animal is judged, there is a problem in that precision is insufficient in monitoring the health management of companion animals as the measured data is individually analyzed.

Registered Patent Publication No. 10-1916803 relates to a companion animal health care system using the Internet of Things, which measures the state of a companion animal through a microphone, a motion sensor, a weight sensor, and a body temperature sensor, but is detected by the sensor. There is a problem in that there is a lack of precision in monitoring the health management of companion animals as the voice sounds, activity amount, weight, and body temperature of companion animals are individually analyzed.

Unexamined Patent Publication No. 10-2020-0011102 Laid-Open Patent Publication No. 10-2017-0014683 Unexamined Patent Publication No. 10-2020-0062754 Registered Patent Publication No. 10-1916803

An object of the present invention is to enable health management of companion animals by receiving a detected or measured value from a cat tower, a pet house, or a pet feeder.

Another object of the present invention is to make it possible to manage the health of the companion animal by comprehensively analyzing the companion animal's behavioral radius, feed and water intake, weight change, sleep time, and sleep pattern.

The problem to be solved by the present invention is not limited only to the above purpose, and other technical problems not explicitly shown above can be easily understood by those of ordinary skill in the art to which the present invention belongs through the configuration and operation of the present invention below. will be able

In this invention, in order to solve the said subject, the following structure is included.

The present invention relates to an IoT health management system for smart pet products, comprising: an operation/time measuring unit that detects a motion of a companion animal and measures the time at which the motion is sensed; a weight/time measuring unit measuring the weight of the companion animal and measuring the time at which the weight is measured; a food amount/time measuring unit that measures the amount of food for the companion animal and measures the amount of time that the amount of food is measured; a water supply/time measuring unit for measuring the water supply amount of the companion animal and measuring a time period for which the water supply amount is measured; a smart device comprising a transceiver configured to receive a value sensed or measured from at least one of the motion/time measuring unit, the weight/time measuring unit, the feeding amount/time measuring unit, and the water supply/time measuring unit; A server for detecting health abnormalities of companion animals by receiving the detected or measured values from the smart device; the server includes, as an input, the values detected or measured by the motion/time measuring unit and measuring behavior patterns Measure the behavior pattern by using the model, input the detected or measured values by the motion/time measuring unit and the weight/time measuring unit, and measure the sleep time and sleep pattern using the sleep time/pattern measuring model and measure the health abnormality by using the food quantity/time measuring unit and the water supply quantity/time measuring unit sensed or measured values, the behavior pattern, the sleeping time, and the sleeping pattern as inputs, and using the health abnormality measurement model characterized in that

The present invention also relates to a smart pet product IoT health management method, comprising the steps of: detecting a motion of a companion animal in an motion/time measuring unit and measuring a time at which the motion is sensed; measuring the weight of the companion animal in a weight/time measuring unit and measuring the time at which the weight is measured; Measuring the feed amount of the companion animal in the feed amount/time measuring unit and measuring the time the feed amount is measured; measuring the amount of water supplied to the companion animal by a water supply amount/time measuring unit and measuring a time for which the water supply amount is measured; Receiving a sensed or measured value from at least one of the motion/time measuring unit, the weight/time measuring unit, the feeding amount/time measuring unit, and the water supply/time measuring unit in a smart device; Sensing the health abnormality of the companion animal by receiving the detected or measured value from the smart device in the server, wherein the server receives the detected or measured value by the motion/time measuring unit as an input and acts Measuring a behavior pattern using a pattern measurement model, using the sleep time/pattern measurement model to input the values sensed or measured by the motion/time measurement unit and the weight/time measurement unit, and use the sleep time/pattern measurement model for sleep time and sleep Measuring a pattern, taking as input the detected or measured values by the feeding amount/time measuring unit and the watering quantity/time measuring unit, the behavior pattern, the sleeping time, and the sleep pattern, and using a health abnormality measurement model as an input It characterized in that it comprises the step of measuring whether there is an abnormality.

In addition, the present invention may be a computer program stored in a recording medium to execute the smart pet product IoT health management method.

An effect of the present invention is to receive a detected or measured value from a cat tower, a pet house, or a pet feeder to enable health management of companion animals.

In addition, another effect of the present invention is to make it possible to manage the health of the companion animal by comprehensively analyzing the companion animal's behavioral radius, feed and water intake, weight change, sleep time, and sleep pattern.

The effects of the present invention are not limited to the above effects, and other effects not explicitly shown above will be easily understood by those of ordinary skill in the art to which the present invention pertains through the configuration and operation of the present invention below.

1 schematically shows a smart pet product IoT health management system of the present invention.
Figure 2 shows a specific configuration diagram of the smart pet products IoT health management system of the present invention.
Figure 3 shows the overall flow chart of the smart pet products IoT health management method of the present invention.
4 is a detailed flowchart for measuring whether or not health is abnormal in the server of the present invention.

Hereinafter, the overall configuration and operation according to a preferred embodiment of the present invention will be described. These embodiments are illustrative and do not limit the configuration and operation of the present invention, and other configurations and operations that are not explicitly shown in the embodiments are provided below through the embodiments of the present invention. A case that can be easily understood by the possessor may be regarded as the technical idea of the present invention.

1 schematically shows a smart pet product IoT health management system of the present invention.

Referring to FIG. 1 , the smart pet product IoT health management system of the present invention detects the movement of a companion animal from the cat tower 110 , the pet house 120 , and the pet feeder 130 , and the weight, food amount, and water supply amount of the companion animal is measured, the measurement time is measured, and the sensed or measured value is transmitted to the smart device 200, and the server 300 analyzes the sensed or measured value to monitor the health status of the companion animal. .

When the server 300 monitors the health status of the companion animal and detects a health abnormality of the companion animal, it sends an alarm signal to the user 400 through the smart device 200, and the user 400 The companion animal can be diagnosed by the veterinarian at the veterinary hospital 500 by an alarm signal caused by the health abnormality of the companion animal.

The cat tower 110 includes an operation/time measurement unit 111 , an extension unit 112 , a height adjustment fixing unit 113 , a pillar unit 114 , a connection unit 115 , and a shelf unit 116 , and the The operation/time measuring unit 111 may be installed at one end of the extension 112 , and the other end of the extension 112 may be rotatably fixed to the pillar 114 .

The height adjustment fixing part 113 can be adjusted in height from the end of the pillar part 114 to the ceiling of the room by loosening the screw and locking structure, and the pillar part 114 can be separated into a plurality of length units. and the plurality of length units separable pillar parts 114 may be connected by a connection part 115 and fixed by magnetic force.

A plurality of shelf parts 116 may be fixed to the pillar part 114 at a predetermined height, and in particular, when the companion animal is a cat, various spaces that are more suitable for it may be provided.

The pet house 120 provides a space for the companion animal to sleep or rest, and has a weight/time measurement unit 121 for measuring the weight of the companion animal and measuring the time at which the weight is measured. can do.

The pet feeder 130 may automatically provide the amount of food and may include a food amount/time measuring unit 131 for measuring the amount of food consumed by the companion animal and measuring the time for which the amount of food is measured.

In addition, the pet feeder 130 may automatically provide the amount of water supplied, and a water supply/time measuring unit 132 for measuring the amount of water consumed by the companion animal and measuring the time for which the amount of water is measured may also be provided therein.

The smart device 200 may receive a detected or measured value from at least one of the cat tower 110 , the pet house 120 , and the pet feeder 130 , and transmit it to the server 300 .

The server 300 may detect the health abnormality of the companion animal by analyzing the detected or measured value transmitted from the smart device 200, and the result of the analysis by the server 300 is the smart device 200 After being delivered to the user 400 may be delivered in the form of a message.

The user 400 receiving the message about the health abnormality of the companion animal may take action to have the companion animal be diagnosed by the veterinarian 500 of the veterinary hospital.

In addition, since the operation/time measuring unit 111 is installed at one end of the extension 112 and the other end of the extension 112 is rotatably fixed to the pillar 114, the cat tower ( 110), the pet house 120, and the pet feeder 130 can more closely detect the behavioral radius of the companion animal within a limited space.

Figure 2 shows a specific configuration diagram of the smart pet products IoT health management system of the present invention.

Referring to FIG. 2, the smart pet product IoT health management system of the present invention includes an operation/time measurement unit 111, a weight/time measurement unit 121, a food quantity/time measurement unit 131, and a water supply quantity/time measurement unit ( 132), a smart device 200, and a server 300 may be provided.

The operation/time measuring unit 111 may be installed in at least one of the cat tower 110, the pet house 120, and the pet feeder 130, and preferably, the extension part 112 of the cat tower 110 The cat tower 110, the pet house 120, and the pet feeder 130 are installed at one end of the extension part 112 and fixed to be rotatably fixed to the pillar part 114 at the other end of the extension part 112. It is possible to detect the behavioral radius of companion animals in a limited space with a simple configuration.

In addition, the motion/time measuring unit 111 detects the motion of the companion animal and simultaneously measures the time at which the motion is sensed, so that it is possible to know when the motion of the companion animal occurs.

The weight/time measuring unit 121 may be built in the lower portion of the pet house 120 , and when the companion animal is sleeping or resting in the pet house 120 , the weight of the companion animal is measured and the The time at which the weight is measured is measured.

In addition, if the companion animal is sleeping or resting in the pet house 120 and there is no movement, the weight/time measurement unit 121 continuously outputs the weight of the companion animal, so the weight/time measurement unit ( 121) can not only measure the weight and time of the companion animal, but also detect the movement and sleep of the companion animal.

The food amount/time measuring unit 131 can measure the amount of food for the companion animal and measure the time that the amount of food is consumed. The amount of food is automatically provided and measures the amount of food remaining after consumption by the companion animal, It is possible to know the amount of food consumed by the companion animal by calculating the difference in the amount of food, and the time when a change in weight is sensed as the companion animal consumes the amount of food can be measured as the time when the amount of food consumed is measured.

The water supply/time measuring unit 132 may measure the amount of water supplied by the companion animal and measure the time that the amount of water is consumed. The amount of water consumed by the companion animal may be known by calculating the difference in the amount of water supplied, and the time when a change in weight is sensed as the companion animal consumes the amount of water supplied may be measured as the time at which the water consumption is measured.

The smart device 200 may include a transceiver 210 , a storage 220 , and a health management unit 230 .

The transceiver 210 detects or measures from at least one of an operation/time measurement unit 111 , a weight/time measurement unit 121 , a food quantity/time measurement unit 131 , and a water supply quantity/time measurement unit 132 . received value, the storage unit 220 stores the received sensed or measured value, and the health management unit 230 analyzes the received sensed or measured value to manage the health state of the companion animal. will do

The server 300 may receive the sensed or measured value from the smart device 200 to analyze or detect health abnormalities of the companion animal. For this purpose, it is preferable to use machine learning or deep learning techniques.

On the other hand, the present invention does not take the detected or measured values as input to the deep learning model at a time, but first measures the behavior pattern, sleep time, and sleep pattern, and then uses the measured behavior pattern, sleep time, and sleep pattern as input. It is used again to detect health abnormalities.

The behavior pattern measurement model 310 is a deep learning model that is learned by inputting the motion of the companion animal detected by the motion/time measuring unit 111 and the time at which the motion is sensed as inputs.

It is also possible to attach a pedometer, an acceleration sensor, and a gyro sensor to the body of the companion animal, and use the motion of the companion animal sensed therefrom and the time at which the motion is sensed as an additional input.

Of course, the server 300 performs sufficient learning on the behavioral pattern measurement model 310 in advance, and then utilizes it to detect or The measured value is input and the activity amount or action radius is output to indicate the behavior pattern.

The sleep time/pattern measurement model 320 is a deep learning method by inputting the motion/time measurement unit 111 and the weight/time measurement unit 121 of the companion animal and the time at which the motion is sensed as inputs. running model.

The server 300 performs sufficient learning about the sleep time/pattern measurement model 320 in advance, and then utilizes it to measure the motion/time measurement unit 111 and the weight/time measurement unit 121 by The sensed or measured value is input and the sleep time/pattern measurement model 320 is output to indicate sleep time and sleep pattern.

By measuring the sleep time, you can know how many hours your pet sleeps in a day, and by measuring the sleep pattern, you can know from when to how long during the day your pet sleeps.

Health abnormality measurement model 330 by inputting the detected or measured value, the behavior pattern, the sleep time, and the sleep pattern by the feeding amount/time measurement unit 131 and the water supply amount/time measurement unit 132, It is a deep learning model that is trained.

The behavior pattern uses the behavior pattern measurement model 310 to input values sensed or measured by the motion/time measurement unit 111, a pedometer, an acceleration sensor, a gyro sensor, etc., and the behavior pattern measurement model 310 ) means at least one of the activity amount or action radius output from

The sleep time and the sleep pattern are the values sensed or measured by the motion/time measuring unit 111 and the weight/time measuring unit 121 using the sleep time/pattern measurement model 320 as inputs, and It means a value output from the sleep time/pattern measurement model 320 .

Figure 3 shows the overall flow chart of the smart pet products IoT health management method of the present invention.

Referring to FIG. 3 , the IoT health management method for smart pet products of the present invention is first an operation/time measurement unit 111 , a weight/time measurement unit 121 , a food quantity/time measurement unit 131 , and a water supply quantity/time measurement unit In order to collect data from the companion animal in step 132, the motion/time measurement unit 111 detects the motion of the companion animal and measures the time at which the motion is sensed (S100), the weight/time measurement unit 121 ) in the step of measuring the weight of the companion animal and measuring the time for which the weight is measured (S200), the food amount/time measurement unit 131 measures the amount of food for the companion animal and measures the time for which the amount of food is measured Step (S300), the water supply amount/time measuring unit 132 measures the amount of water supplied to the companion animal and the step (S400) of measuring the time for measuring the amount of water supply is performed.

Next, in order to receive the data collected in the steps ( S100 , S200 , S300 , S400 ) from the transceiver 210 of the smart device 200 , the operation/time measurement unit 111 measures the weight/time The step (S500) of receiving the sensed or measured value from at least one of the unit 121, the feed amount/time measurement unit 131, and the water supply amount/time measurement unit 132 is performed (S500).

Next, in order to receive the collected data from the server 300 again from the smart device 200 and input the collected data to determine whether the companion animal has health abnormalities, from the smart device 200 A step (S600) of detecting the health abnormality of the companion animal by receiving the sensed or measured value; is performed.

4 is a detailed flowchart for measuring whether or not health is abnormal in the server of the present invention.

Referring to FIG. 4 , the step ( S600 ) of detecting the health abnormality of the companion animal by receiving the detected or measured value from the smart device 200 performed by the server 300 is shown in more detail.

The server 300, first, is sufficiently trained and equipped with a behavior pattern measurement model 310, a sleep time/pattern measurement model 320, and a health abnormality measurement model 330, which are machine learning or deep learning models. These machine learning or deep learning models can be more accurate as they accumulate more data. In the case of a deep learning model, the value of the weight leading to the input layer, hidden layer, and output layer is adjusted through training.

The present invention divides the data collected in the above steps (S100, S200, S300, S400), first inputs the detected or measured value by the operation/time measuring unit 111 as an input, and then uses the behavior pattern measurement model 310 as an input. By performing the step (S610) of measuring the behavior pattern by utilizing it, the activity amount and the behavior radius of the companion animal are output.

Next, the values detected or measured by the motion/time measuring unit 111 and the weight/time measuring unit 121 are input and the sleep time/pattern measurement model 320 is used to determine the sleep time and sleep pattern. A step of measuring ( S620 ) is performed to output the sleep time and sleep pattern of the companion animal.

Next, the value detected or measured by the feeding amount/time measuring unit 131 and the watering quantity/time measuring unit 132, the behavior pattern (activity amount and behavior radius), the sleeping time, and the sleeping pattern are input and measuring the health abnormality by using the health abnormality measurement model 330 is performed (S630).

When an abnormality occurs in the health of the companion animal in step S630, it is preferable to send a notification message to the user 400 through the health management unit 230 of the smart device 200, and the user 400 is the companion animal. When an abnormality occurs in the health of the veterinarian, a diagnosis of the companion animal is requested to the veterinarian 500 of the veterinary hospital.

The health management unit 230 is the data collected in the steps (S100, S200, S300, S400), the behavior pattern (activity amount and action radius) output in the step (S610), the sleep time output in the step (S620) The sleep pattern may also send a notification message to the user 400 .

In addition, the smart device 200 and the server 300 are the smart device 200 and the server 300 in that such a flowchart of the smart pet product IoT health management method may be implemented as a computer program, and each component of the present invention may be implemented as hardware or software. It may be implemented as software running on one piece of hardware or separate hardware. In addition, the smart pet product IoT health management method of the present invention may be implemented by being stored in a recording medium as a computer program.

110: cat tower
111: operation / time measurement unit
112: extension
113: height adjustment fixed part
114: pillar part
115: connection
116: shelf unit
120: pet house
121: weight / time measurement unit
130: pet feeder
131: food amount / time measurement unit
132: water supply / time measurement unit
200: smart device
210: transceiver
220: storage
230: health care department
300: server
310: behavior pattern measurement model
320: sleep time / pattern measurement model
330: health abnormality measurement model
400: user
500: veterinarian at veterinary hospital

Claims (3)

In the smart pet product IoT health management system,
a motion/time measuring unit that detects a motion of a companion animal and measures a time at which the motion is sensed;
a weight/time measuring unit measuring the weight of the companion animal and measuring the time at which the weight is measured;
a food amount/time measuring unit that measures the amount of food for the companion animal and measures the amount of time that the amount of food is measured;
a water supply/time measuring unit for measuring the water supply amount of the companion animal and measuring a time period for which the water supply amount is measured;
a smart device comprising a transceiver configured to receive a value sensed or measured from at least one of the motion/time measuring unit, the weight/time measuring unit, the feeding amount/time measuring unit, and the water supply/time measuring unit;
A server for detecting health abnormalities of companion animals by receiving the detected or measured values from the smart device;
The server is
Taking the detected or measured value by the motion/time measuring unit as an input and measuring the behavior pattern using the behavior pattern measurement model,
Taking the detected or measured values by the motion/time measuring unit and the weight/time measuring unit as inputs, and measuring the sleep time and sleep pattern using the sleep time/pattern measurement model,
Measuring whether there is a health abnormality using the food quantity/time measuring unit and the water supply quantity/time measuring unit sensed or measured values, the behavior pattern, the sleeping time, and the sleep pattern as inputs, and using the health abnormality measurement model Smart pet products IoT health management system characterized by features.
In the smart pet product IoT health management method,
detecting a motion of the companion animal by a motion/time measuring unit and measuring a time at which the motion is sensed;
measuring the weight of the companion animal by a weight/time measuring unit and measuring the time at which the weight is measured;
Measuring the feed amount of the companion animal in the feed amount/time measuring unit and measuring the time the feed amount is measured;
measuring the amount of water supplied to the companion animal by a water supply amount/time measuring unit and measuring a time for which the water supply amount is measured;
Receiving a sensed or measured value from at least one of the motion/time measuring unit, the weight/time measuring unit, the feeding amount/time measuring unit, and the water supply/time measuring unit in a smart device;
Including; receiving the detected or measured value from the smart device in the server to detect the health abnormality of the companion animal;
The server is
Measuring a behavior pattern using a behavior pattern measurement model with a value detected or measured by the operation/time measuring unit as an input;
Measuring sleep time and sleep pattern using a sleep time/pattern measurement model with the values detected or measured by the motion/time measuring unit and the weight/time measuring unit as inputs;
Measuring whether there is a health abnormality by inputting the detected or measured values, the behavior pattern, the sleep time, and the sleep pattern by the feeding amount/time measuring unit and the watering quantity/time measuring unit as inputs, and using a health abnormality measurement model Smart pet products IoT health management method comprising a.
A computer program stored in a recording medium to execute the smart pet product IoT health management method of claim 2.

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