KR102234081B1 - Hybrid IoT Management type chair for reading room, and Reading room learning management system using the same - Google Patents

Abstract

The present invention relates to a hybrid IoT management-type chair for a reading room and a reading room learning management system using the same. The chair (100) includes: a chair body (110); at least one pressure sensor (140) formed in the seat portion of the chair body (110); and an MCU (160). The MCU extracts a student ID matching the chair ID of the chair (100) from a storage unit (180). Then, the MCU receives student seating time information recognized by the pressure sensor (140). Then, the MCU stores the extracted student ID as metadata on the storage unit (180) together with the seating time information and the chair ID. The present invention is optimized for self-directed learning and online education. With the present invention, it is possible to provide an IoT device required for big data building and utilization required for next-generation curricula and new curricula for the Industry 4.0 era. In addition, it is possible to perform learning activity history analysis and provide a guardian and a student with the analyzed history. Further, it is possible to perform big data-based learning form analysis and provide the analyzed information.

Description

Hybrid IOT Management type chair for reading room, and Reading room learning management system using the same}

The present invention relates to a management chair for a hybrid IoT reading room and a reading room learning management system using the same, and more specifically, to optimize self-directed learning and online education, and to build and use big data necessary for the next-generation curriculum, the fourth industry. It relates to a management chair for a hybrid IoT reading room and a reading room learning management system using the same to provide IoT devices necessary for a new educational process in the revolutionary era.

In the method of analyzing the learning activity history and providing it to the guardians and students, the reality that proper management is insufficient because the method of inputting the plan and action items according to the plan through the management app for the study time by the student was mainly used in the past. to be.

Accordingly, looking at the conventional management techniques that promote learning activities related to the chair, Korean Patent Application No. 10-2014-0124492 (2014.09.18) "Emotional chair robot and its control method" can be seated by the user. A seating area; A camera unit for photographing the front and rear of the seating unit and the seating unit to generate at least one image representing a user's face and movement in the front and rear of the seating unit and whether a user is seated in the seating unit; A voice recognition unit receiving the user's voice signal; An image generated from the camera unit and an audio signal are received from the voice recognition unit, and based on the image and audio signal, the user's face recognition, movement, emotional state, and seating are determined, and corresponding to the determination result A control unit generating at least one control signal for driving; A moving unit receiving a control signal generated from the control unit and moving in the front and rear, left and right directions in response to the control signal; And a speaker unit that receives the control signal generated from the control unit and outputs a sound effect to the outside in response to the control signal; whereby, when an infant visits a specific space for learning, such as a library, the face of the visited infant By recognizing and performing a specific action such as a pet dog or outputting a welcome sound if there is a previous visit, not only does the intellectual curiosity of the infant improve, but also the user's satisfaction can be improved by preventing boredom.

However, this method of recognizing a specific object through photographing is not only reluctant, but also has a limitation in that it is difficult to manage because the data capacity increases when collecting data.

In addition, Korean Patent Application No. 10-2011-0000318 (2011.01.03) "Drowsiness prevention chair" consists of a piezoelectric element mounted on the top and thermoelectric elements mounted on the backrest, the bottom, and armrests. , Helps in learning to eliminate drowsiness by using the piezoelectric element mounted on the top of the chair to detect the motion with an electric signal by contact and to deliver cold air using the mounted Peltier element when the body is laid back due to fatigue. It relates to a technology for providing a chair for preventing drowsiness that can give you.

In addition, Korean Patent Application No. 10-2016-0102894 (2016.08.12) "Chair health management system and notification method using Bluetooth beacon on the chair" implements a chair that supports the Internet of Things by combining IT technology in a chair. By doing so, the application and data communication functions of smart devices are utilized, and it relates to a technology that provides a service or a health management system that provides motivation for continuous and efficient health management.

In addition, the Republic of Korea Patent Application No. 10-2018-0105999 (2018.09.05) No. "User posture detection chair and system" is a seat plate; Backrest; At least one distance sensor measuring a distance from the backrest to the body of a user seated on the seat plate; And a communication module that collects distance data measured by the distance sensor and transmits it to the outside.

These conventional technologies mainly detect the user's posture and provide stimulation based on detection. This method has a limitation in that it cannot be optimized for self-directed learning and online education. There is a disadvantage in that the guardian can be easily deceived through a dummy body or the like.

Korean Patent Application No. 10-2014-0124492 (2014.09.18) "Emotional chair robot and control method thereof" Korean Patent Application No. 10-2011-0000318 (2011.01.03) "Chair capable of shaking off sleepiness" Korean Patent Application No. 10-2016-0102894 (2016.08.12) "The chair healthcare system and notification method using bluetooth beacons" Korean Patent Application No. 10-2018-0105999 (2018.09.05) "USER'S POSTURE DETECTING CHAIR AND SYSTEM"

The present invention is to solve the above problems, optimize for self-directed learning and online education, build and utilize big data necessary for the next-generation curriculum, and provide IoT devices necessary for a new education course in the era of the 4th industrial revolution. It is to provide a hybrid IoT reading room management chair and a reading room learning management system using the same.

In addition, the present invention can analyze the learning activity history and provide it to the guardians and students, as well as to provide the analyzed information by analyzing the form of learning based on big data, and a managed chair for a hybrid IoT reading room and using the same. It is to provide a reading room learning management system.

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

In order to achieve the above object, a managed chair for a hybrid IoT reading room according to an embodiment of the present invention includes a chair body 110; A pressure sensor 140 having at least one or more formed on the seat of the chair body 110; And after extracting the student ID matching the chair identification number of the hybrid IoT reading room managed chair 100 from the storage unit 180, after receiving the seating time information of the student recognized through the pressure sensor 140, extracted An MCU 160 for storing seating time information and chair identification number on the storage unit 180 as metadata of the student ID; It characterized in that it comprises a.

At this time, the chair body 110 is characterized in that the backrest is formed, a pre-set height is spaced apart from the seat, and a reinforcing bar is formed to connect the upper regions of the two legs formed in front between the four legs. do.

In addition, the present invention is formed on the upper end of the backrest, whether the student is standing on the back at the distance formed with the backrest or at a predetermined distance to measure the illuminance according to the information standing on the back, an illuminance sensor that generates illuminance information, and infrared An optical sensor including an infrared sensor that generates infrared light source information for measuring distance information from the student according to the amount of the incident light source by reflecting the infrared light source emitted from the infrared light output end including the light output end and the light receiving end. (120); It may further include.

In addition, the present invention is formed of one of an optical fingerprint sensor, a capacitive fingerprint sensor, and an ultrasonic fingerprint sensor, and is formed in all directions of the seat of the chair body 110 having little contact with the body of the student, thereby generating fingerprint recognition information. A fingerprint sensor 130 for providing fingerprint identification information to the MCU 160; It may further include.

In order to achieve the above object, a reading room learning management system using a managed chair for a hybrid IoT reading room according to an embodiment of the present invention includes a plurality of hybrid IoT reading room managed chairs 100 each having a sensing unit for detecting movement. Hybrid IoT reading including a managed chair group for a hybrid IoT reading room (100g), a wireless router 200, a reading room management server 400, and a guardian terminal group (600g) consisting of a plurality of guardian terminals 600 In the reading room learning management system (1) using a practical management chair, the reading room management server 400, each from the guardian terminal 600 of the student registered by the reading room operator operating at least one wireless router 200 After controlling the transmission/reception unit 410 to receive the basic fingerprint information of the student, the basic fingerprint information is stored in the database 430 together with the student ID and reading room ID received from the guardian terminal 600, and stored in each reading room ID. An information registration module 421 for controlling the transmission/reception unit 410 to transmit the collected student ID and basic fingerprint information to the wireless router 200 corresponding to the reading room ID through the network 300 in real time; And after receiving the student unit information generated by the plurality of sensing information-based learning activity activation information on the hybrid IoT reading room managed chair 100 received together with the reading room ID and the student ID through the network 300, An information collection module 422 for storing student unit information in real time with each reading room ID as a large category and a student ID as a small category on the database 430; It characterized in that it comprises a.

A managed chair for a hybrid IoT reading room and a reading room learning management system using the same according to an embodiment of the present invention optimizes for self-directed learning and online education, and builds and uses big data necessary for the next-generation curriculum, in the era of the 4th industrial revolution. IoT devices needed for new training courses can be provided.

In addition, the hybrid IoT reading room management chair according to another embodiment of the present invention and the reading room learning management system using the same can analyze the learning activity history and provide it to parents and students, It has the effect of providing the analyzed information by analyzing the form.

1 is a diagram showing the appearance of a managed chair 100 for a hybrid IoT reading room according to an embodiment of the present invention.
2 is a block diagram showing the components of a managed chair 100 for a hybrid IoT reading room according to an embodiment of the present invention.
3 is a diagram showing a reading room learning management system (hereinafter, reading room learning management system) 1 using a hybrid IoT reading room management chair 100 according to an embodiment of the present invention.
4 is a block diagram showing the components of the reading room management server 400 of the reading room learning management system 1 according to an embodiment of the present invention.

Hereinafter, a detailed description of a preferred embodiment of the present invention will be described with reference to the accompanying drawings. In the following description of the present invention, when it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the subject matter of the present invention, a detailed description thereof will be omitted.

In the present specification, when one component'transmits' data or a signal to another component, the component can directly transmit the data or signal to the other component, and through at least one other component It means that data or signals can be transmitted to other components.

1 is a view showing the appearance of a managed chair 100 for a hybrid IoT reading room according to an embodiment of the present invention. Figure 2 is a block diagram showing the components of the hybrid IoT reading room managed chair 100 according to an embodiment of the present invention. 1 and 2, the hybrid IoT reading room managed chair 100 includes a chair body 110, an optical sensor 120, a fingerprint sensor 130, a pressure sensor 140, a motion sensor 150, and By including the MCU 160, the communication module 170, and the storage unit 180, it is possible to perform a function to manage the safety and learning of students.

The chair body 110 is a general chair circulated on the market, and there is no limitation in shape, but a backrest is formed, and a reinforcing bar that connects the upper areas of the two legs formed in front between the four legs is spaced apart from the seat part with a preset height. It is preferable to use what is formed.

The optical sensor 120 is formed at the upper end of the backrest, and whether the student is putting his back on the backrest and the formed distance, measuring the illuminance according to the information erecting the back at a predetermined distance, and an illuminance sensor that generates illuminance information, and infrared rays. Including the light output end and the light receiving end, the infrared light source emitted from the infrared light output end is reflected on the back of the student and may include an infrared sensor that generates infrared light source information for measuring distance information from the student according to the amount of incident light source. .

The fingerprint sensor 130 may be formed of an optical fingerprint sensor, a capacitive fingerprint sensor, an ultrasonic fingerprint sensor, etc., and is formed in all directions of the seat portion of the chair body 110 having little contact with the student's body. By generating the fingerprint recognition information can be provided to the MCU 160. Here, if the fingerprint sensor 130 is formed on the backrest of the chair body 110 rather than the seat, an error may occur due to frequent contact by a student moving the chair body 110, It is preferably formed.

The pressure sensor 140 is formed in the form of a module by arranging a plurality of pressure sensors on the seat, thereby keeping the gap between each sensor smaller than the rear area in the front area of the seat, and distributing a larger number, so that the femur Focusing on the fact that the front area of the seat in contact with the seat has a wider contact range characteristic than the rear area of the seat, the total spacing of the plurality of pressure sensors in front of the seat is arranged wider than the total spacing of the plurality of pressure sensors behind the seat It is desirable to do it.

Accordingly, the pressure sensor 140 recognizes the contact between the object and the body as a contact with the body when there is a change in the number of recognition of the plurality of pressure sensors in front of the seat for a preset time, and when there is no change in the number of recognition. When it is recognized as a contact of an object and recognized as a contact of a body, the start of the seating time information can be notified to the MCU 160, as well as the pressure value of each pressure sensor 140 to the MCU 160 as pressure recognition information. Can provide.

The motion sensor 150 is formed of a gyro sensor on a reinforcement bar that connects the upper regions of two legs formed in front of the chair body 110, so that the direction change information of the chair body 110 is converted into motion recognition information. Can be provided as.

Here, when the fingerprint of the student is recognized through the fingerprint sensor 130 and the fingerprint recognition information is received from the fingerprint sensor 130, the MCU 160 stores a hybrid IoT reading room management chair 100 in the storage unit 180. By completing the authentication when matching with the basic fingerprint information for at least one student designated by matching with the chair ID of at least one stored, simple authentication without the need for a wireless authentication procedure using the communication module 170 can be performed. have.

The MCU 160 extracts the student ID matching the fingerprint recognition information from the storage unit 180, and then receives the sitting time information of the student recognized before and after receiving the fingerprint recognition information through the pressure sensor 140, and then the extracted Seating time information and chair ID may be stored together with the student ID as metadata on the storage unit 180.

Thereafter, the MCU 160 receives optical recognition information, pressure recognition information, and motion recognition information through the optical sensor 120, the pressure sensor 140, and the motion sensor 150, respectively, and then the received optical recognition information of the student. , Pressure recognition information, motion recognition information is collected to generate learning record information, and then the student ID extracted from the generated learning record information is transferred to the storage unit 180 as metadata, together with the seating time information and chair ID. It can be saved in real time as "unit information".

Thereafter, the MCU 160 controls the communication module 170 to transmit the student unit information to the wireless router 200 through short-range wireless communication, so that the reading room management server ( 400), you can add the "reading room ID" and "student ID" to the "student unit information" and send them together.

3 is a diagram showing a reading room learning management system (hereinafter, reading room learning management system) 1 using a hybrid IoT reading room management chair 100 according to an embodiment of the present invention. Referring to Figure 3, the reading room learning management system (1) is a hybrid IoT reading room managed chair group (100g) consisting of a plurality of hybrid IoT reading room management chair (100), a wireless router 200, a network 300 , A reading room management server 400, a big data server 500, and a guardian terminal group 600g consisting of a plurality of guardian terminals 600.

Here, the network 300 is a communication network, which is a high-speed backbone network of a large communication network capable of large-capacity, long-distance voice and data services, and may be a next-generation wired or wireless network for providing Internet or high-speed multimedia services. When the network 300 is a mobile communication network, it may be a synchronous mobile communication network or an asynchronous mobile communication network. As an embodiment of the asynchronous mobile communication network, there is a wideband code division multiple access (WCDMA) communication network. In this case, although not shown in the drawing, the network 300 may include a Radio Network Controller (RNC). On the other hand, although the WCDMA network was taken as an example, it may be a 3G LTE network, a 4G network, a next-generation communication network such as 5G, and other IP-based IP networks. The network 300 includes a wireless router 200, a reading room management server 400, a big data server 500, a parental terminal group 600g consisting of a plurality of parental terminals 600, and signals and data between other systems. It serves to communicate with each other.

4 is a block diagram showing the components of the reading room management server 400 of the reading room learning management system 1 according to an embodiment of the present invention. 4, the reading room management server 400 includes a transmission/reception unit 410, a control unit 420, and a database 430, and the control unit 420 includes an information registration module 421 and an information collection module 422. , A record information analysis module 423 and an information providing module 424.

The information registration module 421 controls the transmission/reception unit 410 to receive basic fingerprint information of each student from the guardian terminal 600 of the student registered by the reading room operator operating at least one wireless router 200 , Fingerprint basic information may be stored in the database 430 together with the student ID and reading room ID received from the guardian terminal 600.

Thereafter, the information registration module 421 transmits the student ID and basic fingerprint information collected for each reading room ID to the wireless router 200 corresponding to the reading room ID through the network 300 in real time. Can be controlled.

The information collection module 422 receives the student unit information received together with the reading room ID and the student ID through the network 300, and then uses each reading room ID as a major category on the database 430, and the student ID as a subcategory. With this, student unit information can be saved in real time.

The record information analysis module 423 includes the optical recognition information collected by the optical sensor 120 and the pressure collected by the pressure sensor 140 among student unit information corresponding to the student ID for each reading room ID stored in the database 430. Through the analysis of the recognition information and the motion recognition information collected by the motion sensor 150, "learning activity record information" may be generated.

Here, as a first embodiment, the recording information analysis module 423 not only has illumination information below a preset illumination threshold among light recognition information, pressure recognition information, and motion recognition information, but also a preset activated infrared light source. If it has a range, it can be analyzed as the first learning activity activation information.

More specifically, the recording information analysis module 423 manages the hybrid IoT reading room through the network 300 according to the second embodiment to be described later when analyzing as the first learning activity activation information when it has a preset active infrared light source range. Pressure sensors with the same number of pressure sensors 140 recognized on the plurality of pressure sensors 140, which are the basis for generating seating time information through a query on the type chair 100, having the same recognized shape according to the initial recognition number range. (140) In the state where only the upper position is changed, there is no change in distance information (first parameter) between the student and the backrest received from the infrared sensor among the photosensor 120, or a preset active infrared light source range corresponding to a change within a preset error range is set. If it has, it can be analyzed as the first learning activity activation information.

In addition, as a second embodiment, the recording information analysis module 423 may analyze the pressure recognition information as the second learning activity activation information when the pressure recognition information has a preset activation pressure change range. That is, the recording information analysis module 423 is the pressure recognition information on the pressure sensor 140 while the number of pressure sensors 140 recognized on the plurality of pressure sensors 140 is the same in the recognized shape according to the initial recognition number range. In the state where only the position is changed, the error range (second parameter) between the corresponding pressure sensors 140 recognized as the same shape from the initial default value, the pressure measurement value according to the student's seating, is preset active pressure change range In the case of inner, it is analyzed as the second learning activity activation information. For this purpose, the number of pressure sensors 140 is shown as 6 in FIGS. 1 and 3, but it may be preferable that the number of pressure sensors 140 be between 20 and 30.

In addition, as a third embodiment, the recording information analysis module 423 may analyze the motion recognition information as the third learning activity activation information when the motion recognition information has a preset active motion recognition range.

That is, the recording information analysis module 423 is a pressure sensor by the MCU 160 of the management chair 100 for a hybrid IoT reading room with respect to the direction change information of the chair body 110 from the motion sensor 150 as motion recognition information. When the position change (third parameter) in the default state corresponding to the time corresponding to the seating time information of the student received before and after receiving the fingerprint recognition information through (140) has a preset active motion recognition range. 3 Can be analyzed as information on activation of learning activities.

Finally, the recording information analysis module 423 generates the first to third learning activity activation information, and then the light recognition information, pressure recognition information, and motion recognition information that are the basis of the generated first to third learning activity activation information. Control the transmission/reception unit 410 to transmit each parameter (the first to third parameters) information of, together with the generated first to third learning activity activation information, to the big data server 500 through the network 300 After that, a return request for "learning activity record information" may be transmitted from the big data server 500.

Here, the big data server 500 is not only the parameter information of optical recognition information, pressure recognition information, motion recognition information, which was the basis for the generation of the first to third learning activity activation information received through the network 300, but also each After receiving the model information of the chair body 110 constituting the managed chair 100 for the hybrid IoT reading room, learning at least one of the first to the third at the time of learning for each subject set according to each model information Whether the activity activation information is generated, whether it is a preset range for each subject within the activation infrared light source range preset in the first learning activity activation information, and each within the activation pressure change range preset in the second learning activity activation information. It analyzes whether it is a preset range for the subject, and whether it is a preset range for each subject within the preset activation motion recognition range in the 3rd learning activity activation information. It is possible to create "learning activity record information" corresponding to either learning activity ON or learning activity ON for an unspecified subject.

That is, the big data server 500 determines a first determination for a preset range for each subject within a preset activation infrared light source range in the first learning activity activation information, and a preset activation pressure change range in the second learning activity activation information. Big data-based information in the second judgment on the preset range for each subject within the range, and the third judgment on the preset range for each subject within the activation motion recognition range preset in the third learning activity activation information In the case of having the pattern information of the graph of the parameter changed according to the timeline of each subject corresponding to and the preset activation infrared light source range corresponding to the variation within the preset error range, it may be analyzed as the first learning activity activation information.

Thereafter, the big data server 500 may transmit the generated learning activity record information to the reading room management server 400 through the network 300.

The information providing module 424 may store the "learning activity record information" returned from the big data server 500 in the database 430 with each reading room ID as a large category and a student ID as a small category.

Thereafter, the information providing module 424 transmits/receives a request for reading the student activity record information through the student ID and parental authentication of each guardian terminal 600 from the guardian terminal 600 through the network 300. After controlling ), the transmission/reception unit 410 may be controlled to transmit the learning activity record information according to the timeline corresponding to each student ID to the parental terminal 600 through the network 300.

In addition, the information providing module 424 is information to check the learning activity status of the child in real time according to the student ID and password setting by the guardian terminal 600, when the learning activity app is installed on each caller terminal 600 Can provide.

On the other hand, the information providing module 424 is a plurality of information about the change in distance information (first information) between the student and the backrest received from the infrared sensor among the photosensor 120 in relation to the first parameter, and pressure recognition information in relation to the second parameter. The information (second information), the third parameter in a state where only the position on the pressure sensor 140 is changed while the number of the pressure sensors 140 recognized on the pressure sensor 140 of is the same recognized shape according to the initial recognition number range. In relation to the motion recognition information, the three-dimensional image collected for the existing students and the hybrid IoT reading room management type in a state in which the direction change information of the chair body 110 from the motion sensor 150 is synchronized in accordance with the same timeline. After matching the 3D shape of the chair 100 to the same scale, the student's 3D image is converted to the first to third information, while sitting on the managed chair 100 for the hybrid IoT reading room The transmission/reception unit 410 may be controlled to generate information as 3D icon image information and transmit it to the parental terminal 600 through the network 300.

Here, when the information providing module 424 converts the two-dimensional image collected for the existing student into a three-dimensional image, it decodes the photographic image to generate a plurality of decoded images, and expresses it in a three-dimensional shape. After creating a set of polygons, which is a basic unit to perform, texture mapping is performed by attaching each of the decoded images to the set of polygons to generate a 3D image. The sitting state information may be generated through pixel conversion into the first to third information.

In addition, it is possible to implement a computer-readable code on a computer-readable recording medium. The computer-readable recording medium includes all types of recording devices that store data that can be read by a computer system.

Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disk, and optical data storage devices, and are implemented in the form of carrier waves (for example, transmission through the Internet). Includes things.

In addition, the computer-readable recording medium is distributed over a computer system connected through a network, and computer-readable codes can be stored and executed in a distributed manner. In addition, functional programs, codes, and code segments for implementing the present invention can be easily inferred by programmers in the technical field to which the present invention belongs.

As described above, in the present specification and drawings, a preferred embodiment of the present invention has been disclosed, and although specific terms are used, this is only used in a general meaning to easily explain the technical content of the present invention and to aid understanding of the invention. , It is not intended to limit the scope of the present invention. In addition to the embodiments disclosed herein, it is obvious to those of ordinary skill in the art that other modified examples based on the technical idea of the present invention can be implemented.

1: Reading room learning management system using managed chairs for hybrid IoT reading room
100: Managed chair for hybrid IoT reading room
100g: Managed chair group for hybrid IoT reading room
110: chair body 120: optical sensor
130: fingerprint sensor 140: pressure sensor
150: motion sensor 160: MCU
170: communication module 180: storage
200: wireless router 300: network
400: reading room management server 410: transmitting and receiving unit
420: control unit 421: information registration module
422: information collection module 423: record information analysis module
424: information providing module 430: database
500: big data server 600: guardian terminal
600g: parental terminal group

Claims (5)

Hybrid IoT reading room management chair group (100g) consisting of a plurality of hybrid IoT reading room management chairs (100), wireless router (200), network (300), reading room management server (400), big data server (500) , In the reading room learning management system (1) comprising a guardian terminal group (600g) consisting of a plurality of guardian terminals (600),
Each hybrid IoT reading room managed chair 100,
A chair body 110 on which a backrest is formed and a reinforcement bar is formed that connects the upper regions of the two legs formed in front between the four legs by being spaced apart from the seat at a predetermined height;
It is formed on the upper part of the backrest, and whether the student is holding the back at the distance formed with the backrest? Including, the infrared light source emitted from the infrared light output terminal is reflected on the back of the student and the optical sensor 120 including an infrared sensor for generating infrared light source information for measuring distance information to the student according to the amount of the incident light source;
A fingerprint sensor 130 that generates fingerprint recognition information and provides fingerprint recognition information to the MCU 160 by being formed in all directions of the seat portion of the chair body 110 having little contact with the student's body;
A plurality of pressure sensors are arranged in the seat to form a module, so that the gap between each sensor is kept smaller than that of the rear area in the front area of the seat, and the number is distributed more, so that the front of the seat where the thigh is in contact with the characteristics of the body. Focusing on the fact that the area has a wider contact range characteristic than the rear area of the seat, the total spacing of the plurality of pressure sensors in front of the seat is wider than the total spacing of the plurality of pressure sensors in the rear of the seat. If there is a change in the number of recognition of the plurality of pressure sensors in front of the seat for a preset time, it is recognized as a contact with the body, and if there is no change in the number of recognition, it is recognized as a contact with an object and is recognized as a contact with the body. A pressure sensor 140 that not only can notify the start of time information to the MCU 160, but also provides the pressure value of each pressure sensor 140 to the MCU 160 as pressure recognition information;
A motion sensor that provides direction change information of the chair body 110 to the MCU 160 as motion recognition information by being formed as a gyro sensor on the reinforcement bar connecting the upper areas of the two legs formed in the front of the chair body 110 150); And
When a student's fingerprint is recognized through the fingerprint sensor 130 and fingerprint recognition information is received from the fingerprint sensor 130, the storage unit 180 is matched with the chair ID of the managed chair 100 for a hybrid IoT reading room and stored. By completing authentication when matching is made through comparison with basic fingerprint information for at least one or more designated students, simple authentication is performed without the need for a wireless authentication procedure using the communication module 170, and students matching fingerprint identification information After extracting the ID from the storage unit 180, after receiving the seating time information of the student recognized before and after receiving the fingerprint recognition information through the pressure sensor 140, the extracted student ID is used as metadata on the storage unit 180 It stores the seating time information and the chair ID together, and receives light recognition information, pressure recognition information, and motion recognition information through the light sensor 120, pressure sensor 140, and motion sensor 150, respectively, and then After collecting the student's optical recognition information, pressure recognition information, and motion recognition information to generate learning record information, the student ID extracted from the generated learning record information is used as metadata to store seating time information and chairs on the storage unit 180 By controlling the communication module 170 to store the student unit information together with the ID in real time as "student unit information" and transmit the student unit information to the wireless router 200 through short-range wireless communication, the network 300 by the wireless router 200 ) To the reading room management server 400 through the MCU 160 for adding and transmitting the "study room ID" and the "student ID" to the "student unit information"; By including, allowing students to manage their safety and learning,
Reading room management server 400,
It includes a transmission/reception unit 410, a control unit 420, and a database 430, and the control unit 420 includes an information registration module 421, an information collection module 422, a record information analysis module 423, and an information providing module ( 424),
The information registration module 421,
After controlling the transmission/reception unit 410 to receive basic fingerprint information of each student from the student's guardian terminal 600 registered by the reading room operator who operates at least one wireless router 200, the basic fingerprint information is transmitted to the guardian terminal. It stores on the database 430 along with the student ID and reading room ID received from 600, and stores the student ID and basic fingerprint information collected for each reading room ID through the network 300 through a wireless router corresponding to the reading room ID ( 200) to control the transmission and reception unit 410 to transmit in real time,
The information collection module 422,
After receiving the student unit information received along with the reading room ID and student ID through the network 300, each reading room ID on the database 430 is used as a major category, and the student ID is used as a small category to display student unit information in real time. And save it as
Recorded information analysis module 423,
Of the student unit information corresponding to the student ID for each reading room ID stored in the database 430, optical recognition information collected by the optical sensor 120, pressure recognition information collected by the pressure sensor 140, motion sensor 150 Generates “learning activity record information” through analysis of the motion recognition information collected by
Among the light recognition information, pressure recognition information, and motion recognition information, if the light recognition information not only has illumination information below a preset illumination threshold, but also has a preset activation infrared light source range, it is analyzed as the first learning activity activation information,
In the case of having a preset active infrared light source range, when analyzing as the first learning activity activation information, a plurality of the basis of the generation of sitting time information through a query about the hybrid IoT reading room managed chair 100 through the network 300 In a state where only the position on the pressure sensor 140 is changed while the number of the pressure sensors 140 recognized on the pressure sensor 140 is the same as the recognized shape according to the initial recognition number range, the infrared sensor of the optical sensor 120 receives it. If there is no change in distance information between the student and the back (the first parameter) or has a preset active infrared light source range corresponding to a change within a preset error range, it is analyzed as the first learning activity activation information,
When the pressure recognition information has a preset activation pressure change range, it is analyzed as the second learning activity activation information, but the number of pressure sensors 140 recognized on the plurality of pressure sensors 140 as pressure recognition information falls within the initial recognition count range. In the state where only the position on the pressure sensor 140 is changed while the recognized shape is the same, the error between the corresponding pressure sensors 140 recognized as the same shape from the pressure measurement value according to the student's seating, which is the initial default value, respectively If the range (the second parameter) is within the preset activation pressure change range, it is analyzed as the second learning activity activation information,
If the motion recognition information has a preset active motion recognition range, it is analyzed as the third learning activity activation information, but the motion recognition information is a hybrid IoT reading room management type for information about the direction change of the chair body 110 from the motion sensor 150 Position change in the default state corresponding to the time corresponding to the sitting time information of the student received before and after receiving the fingerprint recognition information through the pressure sensor 140 by the MCU 160 of the chair 100 (third Parameter) has a preset activation motion recognition range, it is analyzed as the third learning activity activation information,
After generating the first to third learning activity activation information, each parameter of optical recognition information, pressure recognition information, and motion recognition information that is the basis of the generated first to third learning activity activation information (the first to third After controlling the transmission/reception unit 410 to transmit parameter) information to the big data server 500 through the network 300 together with the generated first to third learning activity activation information, Sends a request for return of "learning activity record information",
The information providing module 424,
The "learning activity record information" returned from the big data server 500 is stored in the database 430 with each reading room ID as a large category, and a student ID as a small category, and the student ID of each guardian terminal 600 After controlling the transmission/reception unit 410 to receive a request for reading of student activity record information from the parental terminal 600 through the network 300 through parental authentication, learning activities according to the timeline corresponding to each student ID Controls the transmission/reception unit 410 to transmit the record information to the guardian terminal 600 through the network 300, and when the learning activity app is installed on each caller terminal 600, the student by the guardian terminal 600 Provides information to check the child's learning activity status in real time according to the ID and password settings,
Regarding the first parameter, information about the change in distance information between the student and the back, received from the infrared sensor among the photosensor 120 (first information), is recognized on the plurality of pressure sensors 140 as pressure recognition information in relation to the second parameter. In the state that only the position on the pressure sensor 140 is changed while the number of the pressure sensors 140 has the same recognized shape according to the range of the initial recognition number, the motion sensor is used as information (second information) and motion recognition information in relation to the third parameter. While synchronizing the direction change information of the chair body 110 from 150 according to the same timeline, the 3D image collected about the existing students and the 3D shape of the managed chair 100 for the hybrid IoT reading room are displayed. After matching to the same scale, the first to third information is converted to the student's 3D image, and the state information of the sitting state on the managed chair 100 for the hybrid IoT reading room is generated as 3D icon image information. A reading room learning management system using a managed chair for a hybrid IoT reading room, characterized in that controlling the transmission/reception unit 410 to transmit to the guardian terminal 600 through the network 300.
The method according to claim 1, the big data server 500,
In addition to each parameter information of optical recognition information, pressure recognition information, and motion recognition information, which was the basis for the generation of the first to third learning activity activation information received through the network 300, a managed chair 100 for each hybrid IoT reading room. After receiving the model information of the chair body 110 constituting) together, whether to generate at least one of the first to third learning activity activation information at the time of learning for each subject set according to each model information, and Whether it is a preset range for each subject within the range of the activation infrared light source preset in the first learning activity activation information, whether it is a preset range for each subject within the range of activation pressure change preset in the second learning activity activation information, In the 3rd learning activity activation information, it analyzes whether it is a preset range for each subject within the preset activation motion recognition range, and finally, learning activity is off (OFF), learning activity for a specific subject is turned on (ON), and unspecified subjects A reading room learning management system using a managed chair for a hybrid IoT reading room, characterized in that generating "learning activity record information" corresponding to one of the learning activities ON for.
The method according to claim 2, the big data server 500,
The first judgment for the preset range for each subject within the range of the activation infrared light set in advance in the first learning activity activation information, and the preset range for each subject within the range of the activation pressure change preset in the second study activity activation information. In the second judgment on the second judgment and the third judgment on the predetermined range for each subject within the activation motion recognition range set in advance in the activation information for the third learning activity, the timeline for each subject corresponding to the big data-based information Reading room using a managed chair for a hybrid IoT reading room, characterized in that when the pattern information of the graph of the parameter changed accordingly and the preset activation infrared light source range corresponding to the variation within the preset error range are analyzed as the first learning activity activation information Learning management system.
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