KR102579288B1 - Artificial intelligence human body detection thermal mat system using conductive fabric - Google Patents

Abstract

The present invention relates to an artificial intelligence human body sensing thermal mat system using conductive fabric. The present invention includes a base forming a lower floor; A cushion mat provided on the upper surface of the base and having a cushion function; A heating mat provided on the upper surface of the cushion mat and including a temperature sensor or pulse sensor; And a conductive fabric provided on the upper surface of the heating mat and having a (+) electrode that senses the human body and receives electricity to supply an electrical signal, and a (-) electrode that receives the electrical signal supplied from the (+) electrode; Includes.

Description

{Artificial intelligence human body detection thermal mat system using conductive fabric}

The present invention relates to an artificial intelligence human body sensing thermal mat system using conductive fabric.

Recently, the use of heating tools such as heating mats has become increasingly diverse. Depending on the size of the heating mat, there are heating sheets for cars, heating cushions for offices, and heating mats for home use. In addition, depending on the usage environment and target, they can be classified into camping, pet, etc.

As heating mats are being used in various fields, there is a demand for technology to automatically control the heating operation according to the usage environment and target of use. In addition, as the number of users of the heating mat within the home may vary, technology is required to automatically control the heating operation to an appropriate temperature according to the characteristics of the person currently using it. However, to date, there is no way to automatically adjust the temperature of such a heating mat. The technology involved in doing so is insufficient.

Korean registered patent KR 10-1466365 Korean registered patent KR 10-1725844 Korean registered utility model KR 20-0493273 Korea Open Utility Model KR 20-2017-0001477

The present invention detects the presence/absence of the user's human body and the movement of the human body on the heating mat, generates heat when the user is on the heating mat, and automatically turns off the heating mat when the user is not present, or automatically turns off the heating mat based on artificial intelligence. The purpose is to provide an artificial intelligence human body sensing thermal mat system using conductive fabric that automatically adjusts the temperature of the body.

An artificial intelligence human body sensing thermal mat system using a conductive fabric according to an embodiment of the present invention includes a base forming a lower floor surface; A cushion mat provided on the upper surface of the base and having a cushion function; A heating mat provided on the upper surface of the cushion mat and including a temperature sensor or pulse sensor; And a conductive fabric provided on the upper surface of the heating mat and having a (+) electrode that senses the human body and receives electricity to supply an electrical signal, and a (-) electrode that receives the electrical signal supplied from the (+) electrode; may include.

In one embodiment, the present invention sets the heating temperature of the heating mat to the set temperature by setting the temperature selected by the user or the aromatherapy selected by the user, or the user-customized temperature or user-customized aromatherapy recommended according to artificial intelligence calculation. A deep sleep control unit that provides deep sleep aromatherapy by performing a heating operation or providing aromatherapy set through the scent emitting unit to enable the user to have a good sleep; A user-customized temperature or user-customized aromatherapy is recommended according to artificial intelligence calculation, and a fever command at the recommended user-customized temperature is transmitted to the deep sleep control unit, or a command to emit the recommended user-customized aromatherapy is sent to the deep sleep control unit. A transmitting user terminal; And a server that receives mat usage data obtained by the user's use of the heating mat from the user terminal or the deep sleep control unit, and performs artificial intelligence learning and artificial intelligence calculation based on this to recommend user-customized temperature or user-customized aromatherapy. It may further include ;.

In one embodiment, the learning is characterized in that the user-customized temperature and user-customized aromatherapy recommendation algorithm model for the artificial intelligence calculation is trained based on mat usage data, and the artificial intelligence calculation algorithm is a user account It may be characterized as an algorithm learned based on the user's personal information to calculate the appropriate temperature, fever temperature change cycle, and value for the user's preferred aromatherapy according to the user's age.

In one embodiment, the deep sleep control unit includes an input unit that receives a user's input for controlling the heating mat to achieve a good sleep from the user terminal; When the user detection unit detects that the user is lying on the heating mat through the conductive fabric, and when automatic setting of the heating temperature is requested by the user, the current temperature of the heating mat is checked, and the user-customized temperature and the checked current temperature are A temperature control unit that automatically adjusts the heating temperature based on the difference between; A mode setting unit that provides at least one heating mode or at least one aromatherapy mode, and performs a heating operation in a heating mode selected by the user or provides aromatherapy selected by the user; A state in which information about the user's contact with the heating mat and the user's usage posture is acquired from the user detection unit, and based on this, the current state of the heating mat or the type of scent patch being emitted in the user's usage posture is determined. judgment department; In a standby state where the input signal value supplied from the electrical supply source at the (+) electrode of the conductive fabric is the same as the detection signal value supplied from the (+) electrode to the (-) electrode, the human body touches the outer surface of the conductive fabric. When a part of the detection signal that is detected and moves from the (+) electrode to the (-) electrode moves to the human body, and the detection signal value becomes smaller than the input signal value, the electric signal is transmitted and the electricity supply to the heating mat is turned on to heat it. And, when the human body touches the outer surface of the conductive fabric and the input signal value and the detection signal value become the same, the electric signal is transmitted and the electricity supply to the heating mat is turned off to stop heating. User detection unit; and an aromatherapy detection unit that detects the scent patch currently being emitted from the scent emitting unit or stores the scent patch being emitted in the user's preferred posture in a built-in memory.

In one embodiment, the artificial intelligence calculation is a user-customized temperature and a user-customized aroma based on mat usage data obtained by the user's use of a heating mat, recommended by a user-customized temperature and user-customized aromatherapy recommendation algorithm model. Derives therapy, and the user-customized temperature and user-customized aromatherapy recommendation algorithm model recommends a user-customized temperature according to the user's temperature control history based on the learning data selected by the data selection unit, and recommends the user's aromatherapy It can be characterized as an artificial intelligence model trained to recommend customized aromatherapy according to the user's selection history.

In one embodiment, the heating mat is formed with an interior divided into an upper mat and a lower mat, generates wind between the upper mat and the lower mat to provide ventilation, and disinfects and sterilizes by using disinfection, etc. It may further include an air circulation unit.

In one embodiment, the air circulation unit includes: an upper plate formed to support a load in close contact with the lower surface of the upper mat; a lower plate formed to support a load by being in close contact with the upper surface of the lower mat at a certain distance from the upper plate; Fixing parts formed on the lower surface of the upper plate and the upper surface of the lower plate to prevent the elastic body from being separated; An elastic body formed between the fixing part formed on the lower surface of the upper plate and the fixing part formed on the upper surface of the lower plate to relieve impact and support the load; A disinfection light formed to disinfect and sterilize the upper mat and lower mat; a rotation motor formed at the center of the lower surface of the upper plate to rotate the rotation axis; a rotating shaft with one side connected to the motor shaft of the rotating motor and the other side connected to a rotating member; a rotating member that rotates in place when the rotating shaft rotates and is formed at the center of the upper surface of the lower plate; and an air circulation fan that rotates in a 360° direction when the rotation motor is driven and is formed on the rotation shaft.

The present invention detects the presence/absence of the user's human body and the movement of the human body on the heating mat, generates heat when the user is on the heating mat, and automatically turns off the heating mat when the user is not present, or automatically turns off the heating mat based on artificial intelligence. Since the temperature can be adjusted automatically, the risk of fire or power consumption can be reduced.

In addition, the present invention can automatically adjust the heating stage to a temperature suitable for the user based on artificial intelligence in the heating mat.

In addition, the present invention can automatically provide aromatherapy to users to achieve sufficient sleep based on artificial intelligence in a heating mat.

Figure 1 is a diagram showing the configuration of an artificial intelligence human body sensing thermal mat system 10 using a conductive fabric according to an embodiment of the present invention.
Figures 2 and 3 are diagrams showing an artificial intelligence human body sensing thermal mat using conductive fabric.
Figure 4 is a diagram showing the configuration of the deep sleep control unit 200.
Figure 5 is a diagram showing the configuration of the user terminal 300.
Figure 6 is a diagram showing the configuration of the server 500.
Figure 7 is a perspective view with the scent emitting unit 600 that functions as aromatherapy added.
Figure 8 is an exploded perspective view of the scent emitting unit 600.
Figure 9 is a diagram showing the air circulation unit 700.

In addition to the above object, other objects and features of the present invention will be clearly revealed through the description of the embodiment with reference to the accompanying drawings. Preferred embodiments of the present invention will be described in detail with reference to the attached drawings. In describing the present invention, if it is determined that a detailed description of a related known configuration or function may obscure the gist of the present invention, the detailed description will be omitted.

Hereinafter, the artificial intelligence human body sensing thermal mat system 10 using a conductive fabric according to an embodiment of the present invention will be described in detail with reference to the attached drawings.

Figure 1 is a diagram showing the configuration of an artificial intelligence human body sensing thermal mat system 10 using a conductive fabric according to an embodiment of the present invention.

Figures 2 and 3 are diagrams showing an artificial intelligence human body sensing thermal mat using conductive fabric.

Figure 4 is a diagram showing the configuration of the deep sleep control unit 200.

Figure 5 is a diagram showing the configuration of the user terminal 300.

Figure 6 is a diagram showing the configuration of the server 500.

Figure 7 is a perspective view with the scent emitting unit 600 that functions as aromatherapy added.

Figure 8 is an exploded perspective view of the scent emitting unit 600.

Figure 9 is a diagram showing the air circulation unit 700.

The artificial intelligence human body sensing thermal mat system 10 using a conductive fabric according to an embodiment of the present invention includes a base 30, a cushion mat 40, a conductive fabric 50, a heating mat 100, and a deep sleep control unit 200. ), may include a user terminal 300 and a server 500.

The base 30 may form a lower floor surface.

The cushion mat 40 may be formed as a mat provided on the upper surface of the base 30 and having a cushion function.

The conductive fabric 50 is provided on the upper surface of the heating mat 100 and includes a (+) electrode that detects the human body and receives electricity to supply an electrical signal, and a (+) electrode that receives the electrical signal supplied from the (+) electrode. -) Can have electrodes.

The heating mat 100 may include a temperature sensor or a pulse sensor (not shown) and may be provided on the upper surface of the cushion mat 40.

Here, the pulse sensor can measure the quality of sleep, and when a unique point occurs in the biosignal, it can automatically connect to 112 or 119 through the deep sleep control unit 200.

In other words, a study conducted by a research team at Tulane University in the United States showed that arrhythmia, where the heartbeat is too fast or too slow and uneven, is related to sleep quality. According to this study, people with normal sleep health have a low risk of arrhythmias such as atrial fibrillation and bradycardia.

The deep sleep control unit 200 sets the heating temperature of the heating mat 100 to a temperature selected by the user, an aromatherapy selected by the user, or a user-customized temperature or user-customized aromatherapy recommended according to artificial intelligence calculation. It provides deep sleep aromatherapy by performing a heating operation based on temperature or by providing aromatherapy set through the scent emitting unit 600 so that the user can have a good night's sleep.

The present invention measures the sleeping habits and indoor temperature of the heating mat user, analyzes the sleeping habits of the heating mat user using artificial intelligence computing technology, and provides the temperature of the heating mat and deep sleep aromatherapy according to changes in ambient temperature and sleeping patterns. By controlling the selection of scent patches according to the user, we provide a personalized heating mat that facilitates optimal sleep for each user.

Aroma oil or aroma scent patch has been used since ancient times to relieve tense body and mind, as well as to have therapeutic effects, making it one of the oldest aromatherapies for good sleep. Although it is not an intuitive treatment to cure an illness, it has already been proven for hundreds of years to be effective in relieving tension and improving the quality of rest and sleep by influencing the nervous system.

Deep sleep aromatherapy is a compound word of aroma (fragrance) and therapy (therapy) and refers to treatment using 100% pure essential oils or scent patches extracted from the flowers, stems, leaves, roots, and fruits of fragrant plants. These deep sleep aromatherapy oils or scent patches include lavender, chamomile, which are effective in relieving insomnia and helping you sleep by soothing and relaxing, and mandarin, chamomile, and verbena, which help relieve anxiety and stress and help you sleep in a comfortable state of mind. It has scents such as bergamot and sandalwood.

The user terminal 300 recommends a user-customized temperature or user-customized aromatherapy according to artificial intelligence calculation, and transmits a fever command to the recommended user-customized temperature to the deep sleep control unit 200, or the recommended user-customized temperature. A command to emit aromatherapy is transmitted to the deep sleep control unit 200.

The user terminal 300 can be configured to include a smartphone or smart pad, is capable of Bluetooth communication, and is particularly limited if necessary apps can be downloaded and installed through wireless Internet, including Wi-Fi or mobile communication. You don't have to.

Detection of human touch on the conductive fabric 50 is performed by detecting touch based on electromotive force through the human body. In particular, when the touch sensor input unit provided on the conductive fabric 50 is touched by a person's hand, the surface electromotive force is applied. Detection is made through charging/discharging of the condenser.

In addition, the detection operation is performed by detecting a change in capacitance that occurs when the body comes into contact with the conductive fabric 50, and at this time, the difference between the change value of the minute capacitance that occurs when the body touches the body and the set value is detected. It should be expressed as “H” (High) or “L” (Low).

This operation sequence is in a standby state in which a small amount of current flows to the contact part of the touch sensor provided on the conductive fabric 50, and when a human body touches the touch sensor, electricity flows to the human body and the voltage changes in a short period of time. is generated, and electricity is supplied as the output changes in response to the voltage in the microcomputer's internal circuit.

That is, in a standby state where the input signal value supplied from the electrical supply source at the (+) electrode of the conductive fabric is the same as the detection signal value supplied from the (+) electrode to the (-) electrode, the human body is detected on the outer surface of the conductive fabric. When a touch is detected and part of the detection signal that moves from the (+) electrode to the (-) electrode moves to the human body, and the detection signal value becomes smaller than the input signal value, the electric signal is transmitted and the electricity supply to the heating mat is turned on. It is heated, and when the human body touches the outer surface of the conductive fabric and the input signal value and the detection signal value become the same, the electric signal can be transmitted to turn off the electricity supply to the heating mat to stop heating.

In this way, in the present invention, the deep sleep control unit 200 can reduce the risk of fire or power consumption through the conductive fabric 50.

In addition, since the mutual capacitance value varies depending on the area on which the user lies, the user's lying posture can be estimated through this. That is, the mutual capacitance value may vary depending on the user's lying posture, and this mutual capacitance value can be compared with a preset lookup table depending on the user's lying posture. This lookup table may be stored in the memory of the deep sleep control unit 200.

When a user lies down or falls asleep off the mat, the current or voltage is analyzed based on the mutual capacitance value, and the effective aromatherapy for a good night's sleep is analyzed to evaluate sleeping habits and quality of sleep. Statistical analysis can be done to do so.

The server 500 receives mat usage data obtained by the user's use of the heating mat 100 from the user terminal 300, and performs artificial intelligence learning and artificial intelligence calculation based on this to provide user-customized temperature or user Customized aromatherapy is recommended.

The deep sleep control unit 200 includes an input unit 210, a temperature control unit 220, a mode setting unit 230, a status determination unit 240, a user detection unit 250, and an aromatherapy detection unit 260. It can be included.

The input unit 210 receives a user's input from the user terminal 300 to control the heating mat 100 for a good night's sleep.

When the user detection unit 250 detects that a user is lying on the heating mat 100, the temperature control unit 220 detects the current temperature of the heating mat 100 when automatic setting of the heating temperature is requested by the user. Check and automatically adjust the heating temperature based on the difference between the user-customized temperature and the checked current temperature.

The mode setting unit 230 provides at least one heating mode or at least one aromatherapy mode, performs a heating operation in a heating mode selected by the user, or provides aromatherapy selected by the user.

Here, the fever mode includes a user-specific fever mode and an artificial intelligence fever mode, and the aromatherapy mode includes a user-specific aromatherapy mode and an artificial intelligence aromatherapy mode.

The user-specific heating mode is a mode in which the preferred temperature can be set for each user, and the artificial intelligence heating mode is a mode that sets a user-customized temperature based on the user's usage history of the heating mat 100, as described later. .

Likewise, the user-specific aromatherapy mode is a mode that allows setting the preferred aromatherapy for each user, and the artificial intelligence aromatherapy mode provides a user-customized aroma based on the user's usage history of the heating mat 100, as described later. This is a mode that sets up therapy.

The state determination unit 240 acquires information about whether the user is in contact with the heating mat 100 and the user's usage posture from the user detection unit 250, and determines the current state or status of the heating mat 100 based on this. The type of scent patch being emitted in the user's usage posture is determined.

The user detection unit 250 is configured to operate the conductive fabric in a standby state where the input signal value supplied from the electricity supply source at the (+) electrode of the conductive fabric is the same as the detection signal value supplied from the (+) electrode to the (-) electrode. When the touch of the human body is detected on the outer surface of the device and the sensing signal value moves from the (+) electrode to the (-) electrode to the human body, and the sensing signal value becomes smaller than the input signal value, the electric signal is transmitted and heat is generated. Turn on the electric supply to the mat to heat it, and when the human body touches the outer surface of the conductive fabric and the input signal value and the detection signal value become the same, the electric signal is transmitted and the electric supply to the heating mat is turned off to stop heating. It may be characterized by being configured to do so.

The aromatherapy detection unit 260 is. The scent patch currently being emitted from the scent emitting unit 600 is detected, or the scent patch emitted at the user's preferred posture is stored in a built-in memory.

The user terminal 300 recommends a user-customized temperature or user-customized aromatherapy according to artificial intelligence calculation, and transmits a fever command for the recommended user-customized temperature to the deep sleep control unit 200.

The user terminal 300 may include a data selection unit 310, a temperature selection unit 320, and an aromatherapy selection unit 330.

The data selection unit 310 acquires mat use data including the temperature value manually set by the user through the deep sleep control unit 200, the number of set temperature changes, or the aromatherapy set, and artificial Select learning data that meets the intelligent learning conditions.

In addition, the artificial intelligence calculation derives user-customized temperature and user-customized aromatherapy based on mat usage data obtained by the user's use of the heating mat, recommended by the user-customized temperature and user-customized aromatherapy recommendation algorithm model. do.

Meanwhile, the user-customized temperature and user-customized aromatherapy recommendation algorithm model recommends a user-customized temperature according to the user's temperature control history based on the learning data selected by the data selection unit and based on the user's aromatherapy selection history. It is characterized by being an artificial intelligence model trained to recommend customized aromatherapy according to the user.

The server 500 receives mat usage data obtained by the user's use of the heating mat from the user terminal 300 or the deep sleep control unit 200, and performs artificial intelligence learning and artificial intelligence calculation based on this to Customized temperatures or customized aromatherapy can be recommended.

The server 500 may include a data recording unit 510, a data learning unit 520, and an artificial intelligence computing unit 530.

The data recording unit 510 obtains and records the learning data selected from the user terminal 300 and the mat usage data transmitted from the deep sleep control unit 200.

The data learning unit 520 performs learning on an artificial intelligence algorithm using the learning data accumulated in the data recording unit 510.

The artificial intelligence calculation unit 530 derives a user-customized temperature and a user-customized aromatherapy based on the second AI algorithm learned by the data learning unit.

Here, the learning involves learning the user-customized temperature and user-customized aromatherapy recommendation algorithm model for the artificial intelligence calculation based on mat usage data.

The artificial intelligence calculation algorithm is an algorithm learned based on the user's personal information to calculate values for the appropriate temperature, fever temperature change cycle, and user's preferred aromatherapy according to the user's age included in the user account.

The scent emitting unit 600 includes a cover 610, a motor 620, a scent patch selection unit 630, a scent patch 640, and a scent patch interior part 650.

The cover 610 has at least one hole 605 through which the scent emitted from at least one scent patch can be dissipated to the outside.

The motor 620 is located on one side of the inside of the cover 610 and is electrically or wirelessly connected to the deep sleep control unit 200 to rotate the scent patch selection unit 630 located on one side of the drive shaft to select the desired Select the scent patch (640).

The scent patch selection unit 630 is provided on one side of the drive shaft and rotates by the motor 620 to open and close at least one scent patch internal part 650. A first scent patch that emits a scent ( With respect to the first scent patch internal part 655 in which 645) is embedded, a hole having the same diameter as the inlet diameter of the indentation groove in which the first scent patch 645 is embedded in the first scent patch internal part 655. The entrance of the recessed groove of the second scent patch interior portion 650, which is provided with at least one second scent patch 640 that does not emit the remaining scent, is blocked to close.

The scent patch built-in portions (650, 655) are located at the lower end of the scent patch selection portion (630) to form an indentation groove in which the scent patches (640, 645) are embedded.

The motor 620 receives information about customized aromatherapy from the deep sleep control unit 200 and rotates the scent patch selection unit 630 to create a second scent patch 645 for the customized aromatherapy. The hole 635 of the scent patch selection unit 630 is positioned at the entrance of the recessed groove of the second scent patch interior part.

In this way, the present invention collects user usage patterns over a certain period of time in the past, and performs machine learning learning on settings, temperature, and deep sleep aromatherapy based on the collected data, so as to set temperature, schedule, and personalize based on learning of user usage patterns. Customized aromatherapy is possible.

The artificial intelligence model according to the present invention may be a model based on supervised learning or unsupervised learning. Furthermore, the artificial intelligence model according to the present invention may include SVM (support vector machine), decision tree, neural network, etc., and methodologies applied thereto.

In one embodiment, the artificial intelligence model according to the present invention may be an artificial intelligence model based on convolutional deep neural networks (CNN) that is learned by inputting learning data. However, it is not limited to this, and of course, various artificial intelligence models can be applied to the present invention. For example, models such as Deep Neural Network (DNN), Recurrent Neural Network (RNN), and Bidirectional Recurrent Deep Neural Network (BRDNN) can be used as artificial intelligence models, but are not limited to these.

At this time, Convolutional deep Neural Networks (CNN) are a type of multilayer perceptrons designed to use minimal preprocessing. A convolutional neural network consists of one or several convolutional layers and general artificial neural network layers on top of them, and additionally utilizes weights and pooling layers. Thanks to this structure, the convolutional neural network can fully utilize input data with a two-dimensional structure. Additionally, convolutional neural networks can be trained via standard back propagation. Convolutional neural networks have the advantage of being easier to train and using fewer parameters than other feedforward artificial neural network techniques.

Additionally, Deep Neural Networks (DNN) are Artificial Neural Networks (ANN) consisting of multiple hidden layers between an input layer and an output layer.

At this time, the structure of the deep neural network may be composed of a perceptron. A perceptron consists of several inputs, one processor, and one output. The processor multiplies multiple input values by their respective weights and then adds up all of the input values multiplied by the weights. Next, the processor substitutes the combined value into the activation function and outputs one output value. If you want a specific value to come out as the output value of the activation function, you can modify the weight multiplied by each input value and recalculate the output value using the modified weight. At this time, each perceptron can use a different activation function. Additionally, each perceptron accepts the outputs from the previous layer as input and then obtains the output using an activation function. The obtained output is passed to the input of the next layer. By going through the above-described process, you can finally obtain several output values.

Recurrent Neural Network (RNN) refers to a neural network in which the connections between units that make up the artificial neural network form a directed cycle. Unlike a forward neural network, a recurrent neural network can utilize the memory inside the neural network to process arbitrary input.

Deep Belief Networks (DBN) is a generative graphical model used in machine learning. In deep learning, it refers to a deep neural network composed of multiple layers of latent variables. It has the characteristic that there is a connection between layers, but no connection between units within the layer.

Due to the nature of the deep trust neural network as a generative model, it can be used for prior learning, and after learning the initial weights through prior learning, the weights can be fine-tuned through backpropagation or other discriminant algorithms. This characteristic is very useful when there is little training data, because the smaller the training data, the stronger the influence of the initial value of the weights on the resulting model. The pre-learned weight initial value becomes closer to the optimal weight compared to the arbitrarily set initial weight value, which enables improved performance and speed of the fine-tuning stage.

The content regarding the artificial intelligence and its learning method described above is for illustrative purposes, and the artificial intelligence and its learning method used in the embodiments described below are not limited. For example, all types of artificial intelligence technologies and learning methods that can be applied by a person skilled in the art to solve the same problem can be used to implement the system according to the disclosed embodiments.

The processor may include one or more cores (not shown), a graphics processing unit (not shown), and/or a connection passage (for example, a bus, etc.) for transmitting and receiving signals to and from other components.

A processor according to one embodiment performs the method described in connection with the present invention by executing one or more instructions stored in memory.

For example, the processor acquires new training data by executing one or more instructions stored in memory, performs a test on the acquired new training data using a learned model, and the test result, labeled information Extract first learning data obtained with an accuracy greater than a predetermined first reference value, delete the extracted first learning data from the new learning data, and use the new learning data from which the extracted learning data has been deleted. The learned model can be retrained.

Meanwhile, the processor further includes RAM (Random Access Memory, not shown) and ROM (Read-Only Memory, not shown) that temporarily and/or permanently store signals (or data) processed inside the processor. It can be included. Additionally, the processor 130 may be implemented in the form of a system on chip (SoC) that includes at least one of a graphics processing unit, RAM, and ROM.

Programs (one or more instructions) for processing and controlling the processor can be stored in the memory. Programs stored in memory may be divided into a plurality of modules according to their functions.

The steps of the method or algorithm described in connection with embodiments of the present invention may be implemented directly in hardware, implemented as a software module executed by hardware, or a combination thereof. The software module may be RAM (Random Access Memory), ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), Flash Memory, hard disk, removable disk, CD-ROM, or It may reside on any type of computer-readable recording medium well known in the art to which the present invention pertains.

The components of the present invention may be implemented as a program (or application) and stored in a medium in order to be executed in conjunction with a hardware computer. Components of the invention may be implemented as software programming or software elements, and similarly, embodiments may include various algorithms implemented as combinations of data structures, processes, routines or other programming constructs, such as C, C++, , may be implemented in a programming or scripting language such as Java, assembler, etc. Functional aspects may be implemented as algorithms running on one or more processors.

Meanwhile, the heating mat 100 is characterized in that its interior is divided into an upper mat 110 and a lower mat 120, and generates wind between the upper mat 110 and the lower mat 120. It may further include an air circulation unit 700 for ventilation and disinfection and sterilization using a disinfection lamp 750.

The air circulation unit 700 includes an upper plate 710, a lower plate 720, a fixing part 730, an elastic body 740, a disinfection light 750, a rotation motor 760, a rotation shaft 770, and a rotation member 780. ), characterized in that it consists of an air circulation fan (790).

The upper plate 710 is formed in close contact with the lower surface of the upper mat 110 to support a load.

The lower plate 720 is formed to support a load by being in close contact with the upper surface of the lower mat 120 at a certain distance from the upper plate 710.

The fixing part 730 is formed to prevent the elastic body 740 from being separated, and the fixing part 730 is formed on the lower surface of the upper plate 710 and the upper surface of the lower plate 720, respectively.

The elastic body 740 is formed between the fixing part 730 formed on the lower surface of the upper plate 710 and the fixing part 730 formed on the upper surface of the lower plate 720. The elastic body 740 alleviates shock and load. It is characterized in that it is formed to support.

The disinfection light 750 is formed to disinfect and sterilize the upper mat 110 and the lower mat 120. The disinfection light 750 is provided on one side of the lower surface of the upper plate 710 and on one side of the upper surface of the upper plate 710. Each is characterized by being formed.

The rotation motor 760 is formed to rotate the rotation shaft 770, and is formed at the center of the lower surface of the upper plate 710.

The rotation shaft 770 is formed to be rotated by a rotation motor 760. One side of the rotation shaft 770 is connected to the motor shaft of the rotation motor 760, and the other side is connected to the rotation member 780. It is characterized by

The rotating member 780 is formed to idle in place when the rotating shaft 770 rotates. The rotating member 780 is formed at the center of the upper surface of the lower plate 720.

The air circulation fan 790 is formed to be rotated in a 360° direction when the rotation motor 760 is driven to spray wind between the upper mat 110 and the lower mat 120. (790) is characterized in that it is formed on the rotation axis (770).

Although the present invention has been described in detail with reference to the above-described examples, those skilled in the art may make modifications, changes, and variations to the examples without departing from the scope of the present invention. In short, in order to achieve the effect intended by the present invention, it is not necessary to separately include all functional blocks shown in the drawings or to follow all the orders shown in the drawings, and even if not, the technical aspects of the present invention described in the claims may be used. Please note that it may fall within the range.

100: Heating mat
200: Deep sleep control unit
300: User terminal
500: Server

Claims (3)

A base forming the lower floor surface;
A cushion mat provided on the upper surface of the base and having a cushion function;
A heating mat provided on the upper surface of the cushion mat and including a temperature sensor or pulse sensor; and
A conductive fabric provided on the upper surface of the heating mat and having a (+) electrode that senses the human body and receives electricity to supply an electrical signal, and a (-) electrode that receives the electrical signal supplied from the (+) electrode; Contains,
By setting the heating temperature of the heating mat to the temperature selected by the user or the aromatherapy selected by the user, or the user-customized temperature or user-customized aromatherapy recommended according to artificial intelligence calculation, the heating operation is performed at the set temperature, or the user performs the heating operation at the set temperature. A deep sleep control unit that provides deep sleep aromatherapy by providing aromatherapy set through the scent emitting unit to enable a good sleep;
A user-customized temperature or user-customized aromatherapy is recommended according to artificial intelligence calculation, and a fever command at the recommended user-customized temperature is transmitted to the deep sleep control unit, or a command to emit the recommended user-customized aromatherapy is sent to the deep sleep control unit. User terminal transmitting; and
A server that receives mat usage data obtained by the user's use of the heating mat from the user terminal or the deep sleep control unit, and performs artificial intelligence learning and artificial intelligence calculation based on this to recommend user-customized temperature or user-customized aromatherapy;
It further includes,
The learning is characterized by learning the user-customized temperature and user-customized aromatherapy recommendation algorithm model for the artificial intelligence calculation based on mat use data,
The user-customized temperature and user-customized aromatherapy recommendation algorithm for the artificial intelligence calculation calculates values for the reference temperature, fever temperature change cycle, and user-preferred aromatherapy according to the user's age included in the user account, It is characterized as an algorithm learned based on user personal information,
The deep sleep control unit,
an input unit that receives a user's input for controlling the heating mat to get a good night's sleep from the user terminal;
When the user detection unit detects that the user is lying on the heating mat through the conductive fabric, and when automatic setting of the heating temperature is requested by the user, the current temperature of the heating mat is checked, and the user-customized temperature and the checked current temperature are A temperature control unit that automatically adjusts the heating temperature based on the difference between;
A mode setting unit that provides at least one heating mode or at least one aromatherapy mode, and performs a heating operation in a heating mode selected by the user or provides aromatherapy selected by the user;
A state in which information about the user's contact with the heating mat and the user's usage posture is acquired from the user detection unit, and based on this, the current state of the heating mat or the type of scent patch being emitted in the user's usage posture is determined. judgment department;
In a standby state where the input signal value supplied from the electrical supply source at the (+) electrode of the conductive fabric is the same as the detection signal value supplied from the (+) electrode to the (-) electrode, the human body touches the outer surface of the conductive fabric. When a part of the detection signal that is detected and moves from the (+) electrode to the (-) electrode moves to the human body, and the detection signal value becomes smaller than the input signal value, the electric signal is transmitted and the electricity supply to the heating mat is turned on to heat it. And, when the human body touches the outer surface of the conductive fabric and the input signal value and the detection signal value become the same, the electric signal is transmitted and the electricity supply to the heating mat is turned off to stop heating. User detection unit; and
An aromatherapy detection unit that detects a scent patch currently being emitted from the scent emitting unit or stores the scent patch emitted in the user's usage posture in a built-in memory;
Including,
The artificial intelligence calculation is,
Characterized by deriving a user-customized temperature and user-customized aromatherapy based on mat usage data obtained by the user's use of a heating mat, recommended by a user-customized temperature and user-customized aromatherapy recommendation algorithm model,
The heating mat is,
It is formed by dividing the interior into an upper mat and a lower mat, and generates wind between the upper mat and the lower mat to provide ventilation, and further includes an air circulation unit for disinfection and sterilization using disinfection, etc.,
The air circulation unit,
a top plate formed to adhere to the lower surface of the top mat and support a load;
a lower plate formed to support a load by being in close contact with the upper surface of the lower mat at a certain distance from the upper plate;
Fixing parts formed on the lower surface of the upper plate and the upper surface of the lower plate to prevent the elastic body from being separated;
An elastic body formed between the fixing part formed on the lower surface of the upper plate and the fixing part formed on the upper surface of the lower plate to relieve impact and support the load;
A disinfection light formed to disinfect and sterilize the upper mat and lower mat;
a rotation motor formed at the center of the lower surface of the upper plate to rotate the rotation axis;
a rotating shaft with one side connected to the motor shaft of the rotating motor and the other side connected to a rotating member;
a rotating member that rotates in place when the rotating shaft rotates and is formed at the center of the upper surface of the lower plate; and
It includes an air circulation fan that rotates in a 360° direction when the rotary motor is driven and is formed on the rotating shaft,
The scent emitting part,
a cover having at least one hole through which the scent emitted from at least one scent patch can be dissipated to the outside;
Located on one inner side of the cover,
A motor that is electrically or wirelessly connected to the deep sleep control unit and rotates a scent patch selection unit located on one side of the drive shaft to select a desired scent patch;
It is provided on one side of the drive shaft to open and close at least one fragrance patch interior portion while rotating by the motor,
With respect to the first scent patch internal part in which the first scent patch that emits the scent is embedded, at least one hole having a diameter equal to the entrance diameter of the indentation groove in which the first scent patch is embedded in the first scent patch internal part. With more than,
A scent patch selection unit that is blocked to close the entrance of the recessed groove of the second scent patch interior portion, where the second scent patch that does not emit the remaining scent is provided; and
A fragrance patch interior portion located at the lower end of the fragrance patch selection portion and forming an indentation groove into which the fragrance patch is embedded;
Including,
The motor receives information about user-customized aromatherapy from the deep sleep control unit and rotates the scent patch selection unit to enter the indentation groove of the second scent patch interior part where the second scent patch for the user-customized aromatherapy is embedded. An artificial intelligence human body sensing thermal mat system using conductive fabric to position the hole in the scent patch selection section. delete delete