KR20220122207A - Emotional office environmnet management system using considering user emotions and method thereof - Google Patents

Abstract

The present invention relates to an emotional office environment control system considering user sensitivity and a method thereof. According to the present invention, provided is an emotional office environment control system considering user sensitivity. The system comprises: a database unit which stores personal and affiliation information of a user who has a history of using a room-type individual space, and environmental state information of the individual space previously set by the user; a training unit which inputs predetermined environmental state information for each user into a training model and trains the training model to output a preferred environmental state for each user; a sensing unit which is installed in the individual space and receives data sensed by at least one among an illuminance sensor, a temperature sensor, a humidity sensor, an oxygen concentration sensor, and a carbon dioxide concentration sensor; a control unit which determines when a user who has reserved the individual space enters the individual space, an environmental state of the individual space through a previously trained first training model based on the environmental state information that the user previously selected in the individual space and generates a control signal for controlling an operation of a peripheral device in response to the determined environmental state; and a communication unit which transmits a control signal to the peripheral device. As described above, according to the present invention, the system trains a training model based on environmental state information previously set by a user in an individual space. Accordingly, the user can be provided with an environmental state in consideration of user sensitivity when the user enters the individual space.

Description

EMOTIONAL OFFICE ENVIRONMNET MANAGEMENT SYSTEM USING CONSIDERING USER EMOTIONS AND METHOD THEREOF

The present invention relates to an emotional office environment control system and method in consideration of the user's emotions, and more particularly, the environmental state information in the space in consideration of the user's emotions is determined by applying the environmental state information set by the user to a learning model. It relates to an emotional office environment control system and method in consideration of user emotions.

Recently, the Internet is evolving from a human-centered connection network that generates and consumes information to an Internet of things (IoT) network that exchanges and processes information between dispersed components, and a sensor network ( Sensor network), machine to machine (M2M), and MTC (machine type communication) technologies are being studied.

To implement the IoT, technology elements such as sensing technology, wired/wireless communication and network infrastructure, service interface technology, and security technology may be required.

Therefore, the use of home appliances using the Internet of Things is increasing at home or in the company, and in order to intensively and efficiently handle the fast, complex and varied tasks of modern society, it is necessary to maximize the potential of individuals using the Internet of Things. Methods for creating an artificial environment have been proposed.

On the other hand, various control technologies are being developed based on the Internet of Things at home and abroad, but most home appliances are on/off by manual operation of switches.

In particular, there is a limit in that a user can create a suitable environment by manually manipulating products using a mechanical switch for controlling the temperature, humidity, lighting, etc. of a room such as an office or a conference room in the space.

In addition, there is a problem in that the environment set by the previous user is maintained for a space that can be reserved and used by several people, so that the environment needs to be set again according to the space environment desired by the next user.

The technology that is the background of the present invention is disclosed in Korean Patent No. 10-2026774 (published on September 24, 2019).

The technical problem to be achieved by the present invention relates to an emotional office environment control system and method in consideration of user's emotion for determining environmental status information in a space in consideration of user's emotion by applying environmental status information set by a user to a learning model. .

According to an embodiment of the present invention for achieving this technical task, in the emotional office environment control system in consideration of the user's emotion, the personal and affiliation information of the user who has a history of using an individual space in the form of a room, the user has previously set A database unit for storing environmental state information of an individual space, a learning unit for learning to output environmental state preferred by each user by inputting preset environmental state information for each user into the first learning model, is installed in the individual space, A sensing unit for receiving data sensed from at least one of an illuminance sensor, a temperature sensor, a humidity sensor, an oxygen concentration sensor, and a carbon dioxide concentration sensor, when a user who has reserved an individual space enters the individual space, the user previously A control unit that determines the environmental state of the individual space through the first learning model previously learned based on the selected environmental state information, and generates a control signal for controlling the operation of peripheral devices in response to the determined environmental state; And it includes a communication unit for transmitting the control signal to the peripheral device.

The environmental state information may include at least one of illuminance setting information, average temperature information, average humidity information, air cleaning setting information, diffuser fragrance information, and music genre information of the individual space.

The communication unit may be connected to the peripheral device, the user terminal, and one or more sensors through a network, receive sensing data sensed through the one or more sensors, and provide the received current sensing data to the user terminal.

The learning unit, by inputting at least one of an electrocardiogram, a heart rate, a respiration rate, and an electroencephalogram measured by a wearable sensor worn by the user into a second learning model, learning the second learning model to output the current emotional state of the user can do it

The controller may generate a control signal for selecting and outputting diffuser fragrance information and a music genre in response to the user's current emotional state.

The peripheral device may include at least one of a lighting device, a temperature controller, a humidifier, an air purifier, a diffuser, and a speaker.

According to another embodiment of the present invention, in the emotional office environment control method using the emotional office environment control system, personal and affiliation information of a user who has a history of using an individual space in the form of a room. Storing the environmental state information of the individual space previously set by the user, inputting the environmental state information preset for each user into the first learning model and learning to output the environmental state preferred by each user, the individual space Receiving data sensed from at least one of an illuminance sensor, a temperature sensor, a humidity sensor, an oxygen concentration sensor, and a carbon dioxide concentration sensor installed in the Determining the environmental state of the individual space through the first learning model previously learned based on the environmental state information selected in and transmitting the control signal to a peripheral device.

As described above, according to the present invention, when the user enters the individual space by learning the learning model based on the environmental state information previously set by the user in the individual space, when the user enters the individual space, the temperature controller, the humidifier, It is possible to provide the user with an environmental state in consideration of the user's emotional state without manually operating peripheral devices such as lighting equipment.

1 is a view for explaining an emotional office environment control system in consideration of the user's emotions according to an embodiment of the present invention.
2 is a configuration diagram showing the configuration of an emotional office environment control system in consideration of the user's emotions according to an embodiment of the present invention.
3 is a flowchart illustrating a process in which the learning unit learns a first learning model and a second learning model.
FIG. 4 is an exemplary diagram for explaining step S310 of FIG. 3 .
5 is a flowchart for explaining a method for controlling an emotional office environment using an emotional office environment control system according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art can easily carry out the present invention. However, the present invention may be embodied in various different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part "includes" a certain component, it means that other components may be further included, rather than excluding other components, unless otherwise stated.

Then, with reference to the accompanying drawings, embodiments of the present invention will be described in detail so that those of ordinary skill in the art to which the present invention pertains can easily implement them.

Hereinafter, the emotional office environment control system 100 in consideration of the user's emotion according to an embodiment of the present invention will be described with reference to FIG. 1 .

1 is a view for explaining an emotional office environment control system in consideration of the user's emotions according to an embodiment of the present invention.

As shown in FIG. 1 , the emotional office environment control system 100 according to an embodiment of the present invention is connected to a peripheral device 200 , a user terminal 300 , and one or more sensors 400 and a network.

Here, the peripheral device 200 is installed in an individual space, and includes at least one of a lighting device, a temperature controller, a humidifier, an air purifier, a diffuser, and a speaker.

In this case, each of the peripheral devices 200 is implemented as a device capable of exchanging information with other objects in real time through the Internet of Things.

Next, the user terminal 300 may receive sensing data from the emotional office environment control system 100 .

In this case, the user terminal 300 is a portable user terminal, and may be implemented as a device capable of exchanging information by connecting to a network by wire or wirelessly, such as a notebook computer, a smart pad, or a smart phone.

And, the user terminal 300 includes an application that is loaded as a default or downloaded through Google Market, App Store, etc. that the user accessed through wired/wireless communication, and the user uses a pre-installed application to control the emotional office environment ( 100) can be accessed.

Next, the one or more sensors 400 are installed to be spaced apart in the smart office space, and include at least one of an illuminance sensor, a temperature sensor, a humidity sensor, an oxygen concentration sensor, and a carbon dioxide concentration sensor.

That is, the emotional office environment control system 100 transmits a control signal for setting the environmental state of the individual space in consideration of the user's emotions to the peripheral device 200 installed in the individual space.

In addition, the emotional office environment control system 100 receives sensing data sensed from one or more sensors 400 , and transmits the received sensing data to the user terminal 300 in real time.

Hereinafter, the configuration of the emotional office environment control system 100 in consideration of the user's emotions according to an embodiment of the present invention will be described with reference to FIG. 2 .

2 is a configuration diagram showing the configuration of an emotional office environment control system in consideration of the user's emotions according to an embodiment of the present invention.

As shown in FIG. 2 , the emotional office environment control system 100 includes a database unit 110 , a learning unit 120 , a sensing unit 130 , a control unit 140 , and a communication unit 150 .

First, the database unit 110 stores personal and affiliation information of a user who has a history of using an individual space in the form of a room, and environmental state information of an individual space previously set by the user.

In this case, the environmental state information includes at least one of illuminance setting information, average temperature information, average humidity information, air cleaning setting information, diffuser fragrance information, and music genre information of individual spaces.

Next, the learning unit 120 inputs preset environmental state information for each user into the first learning model and learns to output a preferred environmental state for each user.

In addition, the learning unit 120 may learn the second learning model to determine the current emotional state using the user's electrocardiogram, heart rate, respiration rate, and electroencephalogram information.

Next, the sensing unit 130 receives data sensing the ring state of the individual space from one or more sensors 400 .

Next, the controller 140 determines the environmental state of the individual space through the pre-learned first learning model based on the environmental state information previously selected by the user in the individual space.

In addition, the controller 140 outputs the user's current emotion through the second learning model previously learned based on the electrocardiogram, heart rate, respiration rate, and electroencephalogram information measured through the wearable sensor worn by the user.

In addition, the controller 140 generates a control signal for controlling the operation of the peripheral device 200 in response to the determined environmental state and the output current emotional state of the user.

Next, the communication unit 150 transmits a control signal to the peripheral device 200 .

In this case, the communication unit 150 may be network-connected to the peripheral device 200 , the user terminal 300 , and one or more sensors 400 to transmit/receive information.

Hereinafter, a process in which the learning unit learns the first learning model and the second learning model will be described with reference to FIG. 3 .

3 is a flowchart illustrating a process in which the learning unit learns a first learning model and a second learning model.

First, the database unit 110 stores personal and affiliation information of a user who has a history of using an individual space, and environmental state information of an individual space previously set by the user ( S310 ).

FIG. 4 is a diagram for explaining step S310 of FIG. 3 .

As shown in FIG. 4 , the database unit 110 stores the user's name, affiliation, illuminance setting information previously set by the user, average temperature information, average humidity information, air cleaning setting information, diffuser fragrance information, and music genre information. can be saved

Here, the average temperature information and the average humidity information mean temperature and humidity information averaged based on the temperature information and humidity information previously set by the user.

For example, when a user belonging to the HR team used an individual space before, the illuminance setting was set to 10 steps, the temperature to 27°, the humidity to 30%, and the air cleaning setting was set to 2 steps for the environmental condition information of the individual space that was set before. Assuming that it is set to , the diffuser scent is set to lavender scent, and the music genre is set to classic, the database unit 110 stores environmental state information set by the user.

Next, the learning unit 120 learns the first learning model to output the environment state preferred by each user by inputting the preset environmental state information to the first learning model (S320).

For example, if it is assumed that the user sets the temperature between 26° and 28° with respect to the environmental state information of the previously set individual space when using the individual space, the learning unit 120 provides the preset environmental state information. 1 is input to the learning model, and the first learning model is trained to output a temperature between 26° and 28°, which is relatively higher than that of other users, as the environment state preferred by the user.

In addition, if it is assumed that the user sets the illuminance setting in three steps and sets the average humidity to 70 to 80%, the learning unit 120 inputs the environmental state information set by the user into the first learning model, The model may be trained to output the environment state preferred by the corresponding user with respect to relatively low illuminance and high humidity compared to other users.

Then, the learning unit 120 inputs at least one of an electrocardiogram, a heart rate, a respiration rate, and an electroencephalogram measured by a wearable sensor worn by the user into the second learning model to output the current emotional state of the user. learning (S330).

In this case, the wearable sensor may be mounted on a wearable device such as glasses, a bracelet, or a watch designed to be worn on the body.

For example, assuming that the heart rate measured by the wearable sensor worn by the user is 130 bpm and the respiration rate is 30 breaths per minute, the learning unit 120 outputs the second learning model to the user's current emotional state as an excited state learn to do

In addition, assuming that the heart rate measured by the wearable sensor worn by the user is 100 bpm and the respiration rate is 20 breaths per minute, the learning unit 120 determines that the second learning model determines the user's current emotional state. Teach them to output in an anxious state.

In addition, the learning unit 120 inputs the electrocardiogram, heart rate, and respiration rate measured by the wearable sensor to the second learning model, so as to output the user's current emotional state, such as a depressed state or an angry state, the second learning model can be trained. have.

As described above, the learning process is terminated through steps S310 to S330 of FIG. 3 .

Hereinafter, an emotional office environment control method using an emotional office environment control system according to an embodiment of the present invention will be described with reference to FIG. 5 .

5 is a flowchart for explaining a method for controlling an emotional office environment using an emotional office environment control system according to an embodiment of the present invention.

First, a user who has reserved an individual space enters the individual space.

Then, the sensing unit 130 receives the current environmental state of the personal space sensed through one or more sensors 400 installed in the individual space (S510).

Here, the sensing unit 130 receives sensing data corresponding to the current illuminance, temperature, humidity, oxygen concentration, and carbon dioxide concentration inside the individual space.

Next, the control unit 140 determines the environmental state of the individual space through the first learning model previously learned through step S320 of FIG. 3 ( S520 ).

If the current environmental condition of the personal space is 27°, the humidity is 50%, and it is assumed that the environmental condition information set when the user previously used the individual space is the temperature is 23° and the humidity is 20%. In this case, the controller 140 determines to be set to relatively low temperature and low humidity compared to other users in the current environmental state of the individual space by using the first learning model previously learned in step S320 of FIG. 3 .

Next, the controller 140 outputs the current emotional state of the user through the second learning model previously learned in step S330 of FIG. 3 using the wearable sensor worn by the user (S530).

In this case, the controller 140 may output the user's current emotional state, such as an anxious state, an excited state, and a pleasant state, using at least one of an electrocardiogram, a heart rate, a respiration rate, and an electroencephalogram measured through the wearable sensor.

Next, the controller 140 selects the diffuser fragrance information and the music genre in response to the user's current emotional state (S540).

In more detail, assuming that the user's current emotional state output through the second learning model previously learned in step S330 of FIG. 3 is an excited state, the controller 140 controls the user to calm down in consideration of the user's emotions. You can choose the scent of the diffuser as lavender, and the music genre is classical.

Next, the controller 140 controls the operation of the peripheral device 200 in response to the determined environmental state (S550).

In addition, the controller 140 generates a control signal for controlling the operation of the peripheral device 200 , and the communication unit 150 transmits the generated control signal to the peripheral device 200 .

At this time, the control unit 140 controls the operation of the peripheral devices 200 such that the peripheral devices 200 such as lighting devices, temperature controllers, humidifiers, and air purifiers are set in response to the environmental state determined by the pre-learned first learning model. A control signal for controlling can be generated.

In addition, the controller 140 may generate a control signal for controlling the operation of the diffuser and the speaker to execute the selected diffuser fragrance information and the music genre, and the communication unit 150 may transmit the generated control signal to the diffuser and the speaker.

As described above, according to an embodiment of the present invention, when the user enters the individual space by learning the learning model based on the environmental state information previously set by the user in the individual space, the user enters the individual space. , humidifiers, lighting devices, etc., without manually operating peripheral devices, provides the user with an environmental state in consideration of the user's sensibility.

Although the present invention has been described with reference to the embodiment shown in the drawings, which is merely exemplary, it will be understood by those skilled in the art that various modifications and equivalent other embodiments are possible therefrom. Accordingly, the true technical protection scope of the present invention should be defined by the technical spirit of the appended claims.

100: emotional office environment control system, 110: database unit,
120: learning unit, 130: sensing unit,
140: control unit, 150: communication unit,
200: peripheral device, 300: user terminal,
400: one or more sensors

Claims (12)

In the emotional office environment control system in consideration of the user's emotions,
A database unit for storing personal and affiliation information of a user who has a history of using individual space in the form of a room, and environmental state information of an individual space previously set by the user;
A learning unit that inputs preset environmental state information for each user into the first learning model and learns to output a preferred environmental state for each user;
A sensing unit installed in an individual space and receiving data sensed from at least one of an illuminance sensor, a temperature sensor, a humidity sensor, an oxygen concentration sensor, and a carbon dioxide concentration sensor;
When a user who has reserved an individual space enters the individual space, the environmental state of the individual space is determined through the first learning model previously learned based on the environmental state information previously selected by the user in the individual space, and the A control unit for generating a control signal for controlling the operation of the peripheral device in response to the determined environmental state, and
Emotional office environment control system comprising a communication unit for transmitting the control signal to peripheral devices. According to claim 1,
The environmental state information is
An emotional office environment control system comprising at least one of illuminance setting information, average temperature information, average humidity information, air cleaning setting information, diffuser fragrance information, and music genre information of the individual space. According to claim 1,
The communication unit,
It is connected to the peripheral device, the user terminal, and one or more sensors through a network,
An emotional office environment control system for receiving the sensed data sensed through the one or more sensors, and providing the received current sensed data to a user terminal. According to claim 1,
The learning unit,
An emotional office environment control system for learning the learning model to output the current emotional state of the user by inputting at least one of an electrocardiogram, a heart rate, a respiration rate, and an electroencephalogram measured by the wearable sensor worn by the user into a second learning model . 5. The method of claim 4,
The control unit is
An emotional office environment control system for generating a control signal to select and output diffuser fragrance information and a music genre in response to the user's current emotional state. According to claim 1,
The peripheral device is
An emotional office environment control system comprising at least one of a lighting device, a temperature controller, a humidifier, an air purifier, a diffuser, and a speaker. In the emotional office environment control method using the emotional office environment control system,
Personal and affiliation information of users who have a history of using individual rooms in the form of a room. storing the environmental state information of the individual space previously set by the user;
Learning to output the environment state preferred by each user by inputting preset environmental state information for each user into the first learning model;
Receiving data sensed from at least one of an illuminance sensor, a temperature sensor, a humidity sensor, an oxygen concentration sensor, and a carbon dioxide concentration sensor installed in an individual space;
When the user who has reserved the individual space enters the individual space, determining the environmental state of the individual space through the first learning model pre-learned based on the environmental state information previously selected by the user in the individual space;
generating a control signal for controlling an operation of a peripheral device in response to the determined environmental state; and
Emotional office environment control method comprising the step of transmitting the control signal to a peripheral device. 8. The method of claim 7,
The environmental state information is
An emotional office environment control method comprising at least one of illuminance setting information, average temperature information, average humidity information, air cleaning setting information, diffuser fragrance information, and music genre information of the individual space. 8. The method of claim 7,
Transmitting the control signal to a peripheral device comprises:
It is connected to the peripheral device, the user terminal, and one or more sensors through a network,
An emotional office environment control method for receiving sensing data sensed through the one or more sensors, and providing the received sensing data to a user terminal. 8. The method of claim 7,
The step of learning to output the preferred environment state for each user comprises:
An emotional office environment for learning the second learning model to output the current emotional state of the user by inputting at least one of an electrocardiogram, heart rate, respiration rate, and electroencephalogram measured by the wearable sensor worn by the user into the second learning model control method. 11. The method of claim 10,
The step of generating the control signal comprises:
An emotional office environment control method for generating a control signal for selecting and outputting diffuser fragrance information and a music genre in response to the user's current emotional state. 8. The method of claim 7,
The peripheral device is
An emotional office environment control method comprising at least one of a lighting device, a temperature controller, a humidifier, an air purifier, a diffuser, and a speaker.

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