KR102013909B1 - Life Log Smart Education System and The Method Using the Same - Google Patents

Abstract

According to the present invention, disclosed are a life log smart education system and an education method using the same. The life log smart education system comprises: a life log collection unit collecting life log information based on a location of a user; an object information collection unit calculating an interest location coordinate of the user at one point where the location of the user is tracked and collecting object information of objects around the interest location coordinate; and an education scenario generation unit using the life log information of the user and the object information of the objects to generate an education scenario. Based on the life log, citizen education can be performed wherever the user is located in a process of allowing the user to move through the internet of things of a smart city.

Description

Life Log Smart Education System and The Method Using the Same}

The present invention relates to a smart education system and an education method using the same, and more particularly, to a lifelog-based smart education system and an education method using the same.

Conventional education systems are serviced by focusing on conventional online education through a Massive Open Online Course (MOOC) and a cloud server. In addition, a method of storing user information, educational materials, and contents thereof on a cloud server and unilaterally providing information to students and users using wireless communication including the Internet.

As an example of a conventional education system, a technology for providing education contents by correcting a user's location by emphasizing a user's location configuration is being developed, but most of them are technologies that only identify a user's actual location. There is a difficulty in selecting education contents and education evaluation methods to be provided at the right place.

Korea Patent Registration No. 10-1390968 (Registration Date: 2014.04.24.)

The present invention provides a lifelog smart education system and a lifelog collection unit that collects lifelog information based on a user's location as a method of teaching using the same, and calculates the coordinates of the user's location of interest at a point where the user's location is tracked. , The object information collection unit for collecting object information of the object around the coordinates of the location of interest, and the education scenario generator for generating an education scenario using the lifelog information of the user and the object information of the thing, Aims to conduct civic education wherever the user is in the process of moving through the Internet of Things (IoT) of the smart city.

In addition, by applying the blockchain technology, in the smart education system and the education method using the same, personalized human factors and social network information are applied and reflected to provide educational contents with multimodality technology in a suitable hyper-connected environment. have.

Still other objects of the present invention may be further considered without departing from the following detailed description and effects thereof.

In order to solve the above problems, the lifelog smart education system according to an embodiment of the present invention is a lifelog collection unit for collecting lifelog information based on the location of the user, at a point where the user's location is tracked, An object information collector configured to calculate coordinates of interest location of the object and collect object information of objects around the coordinates of interest, and generate a training scenario using lifelog information of the user and object information of the object; do.

Here, the object information collecting unit generates a 3D map by adding coordinate input unit for receiving coordinate information regarding latitude and longitude at a point where the user's location is tracked, and region of interest of the user on the map reflecting the coordinate information. The apparatus may include an interested location coordinate generator configured to calculate the user interested location coordinates, and a thing network input unit configured to receive object information of the thing about at least one or more things around the interested location coordinates through an IoT network.

Here, the education scenario generation unit extracts a user's lifelog information and a database storing the object information of the thing, user location information and user emotion information included in the lifelog information stored in the database, and based on the civic education scenario A context analysis module that separates the user location information by category based on a registered place, extracts object collection information included in object information of the object stored in a database, and separates the object collection information by category A category data generation unit that generates a data table for each category in addition to the information, a situation scenario database in which contextual information for civic education is classified by category, and the category data from the situation scenario database in response to preset contextual information In generating the data table portion select the training conditions according to the user location information and the object acquisition information corresponding to the category, and that make up the training includes a page of formatted structure training page configuration.

Here, when it is determined that the tracked gaze of the user gazes at a point over a preset time from the lifelog information stored in the database, the situation analysis module displays the location included in the point at the user location. The user emotion information is extracted from the lifelog information recorded while staring at a point.

Here, the category data generation unit sets an area corresponding to the user location information as the information collection area from the object information of the object stored in the database, and extracts object information of the object included in the information collection area as the object collection information. The thing collection information is information including social trend information of the thing based on the information collecting region, interest point information based on the information collecting region, and tag information of the thing based on the information collecting region.

Here, the situation scenario database includes first situational information using user location information as a variable, second situational information using the user emotion information as a variable, and third situational information using the thing collection information as a variable. The contextual information is set, and the contextual information can be combined in accordance with the user location information and the object collection information corresponding to the category in the data table to configure the educational situation.

Here, the training page constructing unit configures a plurality of training situations by combining according to the user location information and the object collection information corresponding to the category in the data table of the category data generation unit from the situation scenario database.

Here, when the generation of the training scenario is finished, the blockchain-based evaluation result transmission unit for sharing the evaluation results according to the training content further comprises, the evaluation result transmission unit to the server using the lifelog smart education system to a plurality of node servers A node server designation unit for designating, receiving one or more block data from a first node server, wherein the block data is education authentication data within a specific period of time for the user, the block data receiving unit for extracting from the first node server, education When the scenario generation is completed, a block data generation unit for generating user evaluation data by checking the citizen education completion level according to the category for citizen education of the user and combining it with the block data, and combining one or more user evaluation data with the blockchain for evaluation Block data to store as block data And a block data transmitter for transmitting the storage unit and the one or more evaluation block data to the second node server, wherein the evaluation block data is stored in a distributed ledger method in a plurality of node servers connected through a block chain. Contains hash information of the ledger.

In addition, the education method of the life log smart education system according to an embodiment of the present invention is a lifelog collection step of collecting lifelog information based on the location of the user, the user's interest at a point where the user's location is tracked Comprising the object information collecting step of calculating the position coordinates, the object information of the object around the coordinates of the location of interest and the training scenario generation step of generating a training scenario using the user's lifelog information and the object information of the thing; In the object information collecting step, a coordinate input step of receiving coordinate information regarding latitude and longitude at a point where the user's location is tracked, and adding a region of interest of the user on a map reflecting the coordinate information to create a 3D map. Generating a location of interest coordinates to generate the user's location coordinates of interest and above the interest And a thing network input step of receiving object information of the thing about at least one thing around the value coordinates through a thing network.

Here, the training scenario generation step may include storing the user's lifelog information and the object information of the thing in a database, extracting user location information and user emotion information included in the stored lifelog information, and based on the civic education scenario. A situation analysis step of dividing the user location information by category based on a registered place; extracting object collection information included in object information of the thing stored in a database; and separating the object collection information by category Generating a data table for each category in addition to the information, setting a situation scenario in which the situation-specific information for civic education is classified for each category, and the category data generation unit from the situation scenario database in response to preset situation-specific information. The data Selecting an education situation according to the user location information and the thing collection information corresponding to a category in a table, and constructing an education page having a formatted structure.

Here, in the situation analysis step, if it is determined that the tracked gaze of the user gazes at a point over a preset time from the lifelog information stored in the database, the position included in the point is the user position. The user emotion information is extracted from the lifelog information recorded while staring at a point.

Here, the setting of the situation scenario in which the contextual information for civic education is categorized by category may include: first contextual information using user location information as a variable, second contextual information using the user emotion information as a variable, and And setting contextual information, including third contextual information using the thing collection information as a variable, wherein the contextual information is based on the user location information and the thing collection information corresponding to a category in the data table. In combination, it is possible to construct an educational situation.

Here, in the configuring of the training page, a plurality of training situations may be configured by combining according to the user location information and the thing collection information corresponding to a category in the data table of the category data generation unit from a situation scenario database.

Here, when the creation of the training scenario is finished, the method may further include a blockchain-based evaluation result transmitting step of sharing the evaluation result according to the corresponding training contents, wherein the evaluation result transmitting step includes a plurality of servers using the lifelog smart education system. A node server designating as a node server, receiving one or more block data from a first node server, wherein the block data is education authentication data within a specific period range for the user and is extracted from the first node server. Block data generation step of generating data for the user evaluation data by combining the block data by checking the level of completion of civic education according to the category for civic education of the user when data generation step and six scenarios are generated, and block one or more user evaluation data Join to the chain and save as evaluation block data And a block data transmission step of transmitting the at least one evaluation block data to the second node server, wherein the evaluation block data is stored in a distributed ledger method in a plurality of node servers connected through a block chain. The evaluation block data includes hash information of the ledger.

In addition, the lifelog smart education system according to an embodiment of the present invention is recorded on a non-transitory computer readable storage medium including computer program instructions executable by a processor to provide an education method of the lifelog smart education system. As a computer program for performing, the lifelog collection step of collecting lifelog information based on the location of the user when the computer program instructions are executed, the location of interest of the user at a point where the location of the user is tracked Operations including an object information collecting step of calculating coordinates and collecting object information of objects around the coordinates of the location of interest, and generating a training scenario using a user's lifelog information and object information of the object; Computer program to perform It provides.

As described above, according to the embodiments of the present invention, a lifelog collecting unit for collecting lifelog information based on the location of the user, at a point where the location of the user is tracked, calculates the coordinates of the location of the user's interest , The object information collection unit for collecting object information of the object around the coordinates of the location of interest, and the education scenario generator for generating an education scenario using the lifelog information of the user and the object information of the thing, Can conduct civic education wherever the user is in the process of moving through the Internet of Things (IoT) of the smart city.

In addition, it is possible to provide multimodality educational content including location, time, and SNS conventions in the composition of educational content that varies according to attributes of things.

Accordingly, it is possible to carry out safety education, environmental protection education, and order education in the smart city in real time, and to combine the literacy of important citizens to be done in daily life, and to evaluate it and benefit from tax reduction. Can be reflected in.

Even if the effects are not explicitly mentioned herein, the effects described in the following specification and the tentative effects expected by the technical features of the present invention are treated as described in the specification of the present invention.

1 is a block diagram showing a lifelog smart education system according to an embodiment of the present invention.
2 is a block diagram showing a lifelog smart education system according to an embodiment of the present invention.
3 is a block diagram showing the object information collecting unit 200 of the lifelog smart education system 10 according to an embodiment of the present invention.
4 is a diagram illustrating user interest location coordinates of the interest location coordinate generator 220 according to an exemplary embodiment.
5 is a block diagram illustrating an education scenario generator 300 of the lifelog smart education system 10 according to an exemplary embodiment of the present invention.
6 is a diagram illustrating a data table of the category data generator 330 according to an embodiment of the present invention.
7 is a block diagram illustrating an evaluation result transmitting unit 400 of the lifelog smart education system 10 according to an embodiment of the present invention.
8 is a view showing the sharing of the evaluation results of the evaluation result transmission unit 400 according to an embodiment of the present invention.
9 is a flowchart illustrating a training method of a lifelog smart training system according to an embodiment of the present invention.
10 is a flowchart illustrating a training scenario generation step of a training method of a lifelog smart training system according to an embodiment of the present invention.
11 is a flowchart illustrating a training scenario generation step of a training method of a lifelog smart training system according to an embodiment of the present invention.
12 is a diagram illustrating a scenario of an education method of a lifelog smart education system according to an embodiment of the present invention.

Hereinafter, a lifelog smart education system and an education method using the same will be described in more detail with reference to the accompanying drawings. As those skilled in the art would realize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present invention. In addition, in order to clearly describe the present invention, parts irrelevant to the description are omitted, and the same reference numerals in the drawings indicate the same members.

When a component is referred to as being "connected" or "connected" to another component, it may be directly connected to or connected to that other component, but it may be understood that other components may be present in between. Should be.

The suffixes "module" and "unit" for components used in the following description are given or mixed in consideration of ease of specification, and do not have distinct meanings or roles.

Terms such as first and second may be used to describe various components, but the components should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another.

The present invention relates to a lifelog smart education system and an education method using the same.

1 is a block diagram showing a lifelog smart education system according to an embodiment of the present invention.

Referring to FIG. 1, the lifelog smart education system 10 includes a lifelog collector 100, an object information collector 200, an education scenario generator 300, and an evaluation result transmitter 400.

The life log smart education system 10 is a system that can perform citizen education wherever the user is located in the process of moving through the Internet of Things (IoT) of the smart city based on the life log.

In the smart city implemented through the Internet of Things (IoT), a user can carry a portable device to track the user's location while traveling indoors and outdoors, and can move around the smart city according to moving lines and moving speeds when the user moves. As the user can be recognized and analyzed by the Internet of Things from the environment, the location, points of interest (PoI) and object of interest (OoI) of the smart city environment can be analyzed. .

Here, the portable device may include a smartphone, a wearable device, an autonomous vehicle, a pad, and the like, and the outdoor information may be located using a GPS.

The lifelog collection unit 100 collects lifelog information based on the location of the user.

Lifelog is a service that records your daily life on the Internet or smart devices. It is a service that organizes and keeps records of your entire personal life that are created by your hobbies, health and leisure. In addition to storing photographs, videos, and memos directly, the system also stores systematic records of the user's location information, biometric information, and exercise. This information can be collected by sensors, GPS, etc. mounted on digital devices.

The lifelog collection unit 100 according to an embodiment of the present invention collects lifelog information based on a general service engine with respect to a location of a user collected by a satellite navigation apparatus (GPS) when a user moves, and language Search by user, page, place, group, application, event, friend post, public post, group post, tag, photo, video, date range, location, as well as detailed search by star, user, place, and emotion. .

The lifelog collection unit 100 may be a log analysis program such as WA: Webometric Analyst, Node Excel (XL: NodeXL) XL, etc., and may be implemented as a server having a semantic network analysis function as necessary. desirable.

The object information collecting unit 200 calculates the coordinates of the ROI of the user at a point where the user's location is tracked and collects object information of the object around the ROI coordinates.

In the smart city environment, objects around the user are provided with a sensor and a communication function, so that the user can be recognized and analyzed by the Internet of Things.

The Internet of Things (IoT) is a technology or environment that attaches sensors to things and sends data to the Internet in real time. Devices connected to the Internet can communicate without user intervention, and the IoT environment can be realized through Bluetooth, near field communication (NFC), sensor data, and networks.

The location, the point of interest (PoI) and interest of the smart city environment can be recognized and analyzed by the Internet of Things from the surroundings of the smart city according to the moving lines and moving speeds as the user moves. The object information (Object of Interest, OoI) can be analyzed.

A point of interest (PoI) is a particular location on the map or drawings in the real world that a particular person is interested in. In addition, the point of interest (PoI) includes the location information of the building around the road to provide a vehicle driver to easily find the target point. For example, Points of Interest (PoI) can be divided into data that displays key facilities, stations, airports, terminals, hotels, etc., in coordinates on an electronic numerical map, search data used to search for a destination, and background data that displays only on the desktop. Can be.

If the user knows the information about the destination, that is, the address, telephone number or the exact name of the destination, the destination can be directly searched by directly inputting the data. On the contrary, if the user does not have accurate information about the destination, the final destination may be searched step by step according to the genre. The location-based service collects each area information on a map centered on a point of interest (PoI) and provides various information targeted by the location-based service.

The education scenario generation unit 300 generates an education scenario using the lifelog information of the user and the object information of the thing.

For example, when a user attempts to ride a bus, the user's lifelog information includes information about the user and information about boarding the bus, and the object information of the object includes bus information and information about an elderly person recognized by the user. As a result, the training scenario generator 300 generates a bus ride riding instruction and a seat concession video watching training scenario for the elderly and provides the same to the user. If the user is a foreigner who rides the bus for the first time in Korea, it will be of great help to the foreign user if he creates a scenario for watching the concession video for the elderly using the user's lifelog information.

If the user completes the provided education, the user may raise a certain point or level of smart citizen education. In addition, if the citizens who received actual smart education at an unspecified place cooperated with the concession or order in the unspecified place by the IoT bus sensing of the smart bus in the smart city, check whether the education result was implemented through the education result score or the good citizen score. Can be evaluated, and the implemented training scenario can be applied in various environments, which can be stored as a separate library.

When the creation of the training scenario is completed, the evaluation result transmission unit 400 shares the evaluation result according to the corresponding education content on the blockchain basis.

If there is no accurate information about the user's existing education, the case of overlapping and over-education may occur. In this case, if the book containing the evaluation results according to the user's education contents is shared on the blockchain, an institution using the Lifelog smart education system such as city hall and school can share one user's book to prevent duplication and over-training. .

In addition, in general, when the user performs training in a specific place, the educational institution individually owns the training evaluation record, but according to an embodiment of the present invention, the user may view the training evaluation record through the blockchain.

2 is a block diagram showing a lifelog smart education system according to an embodiment of the present invention.

As shown in FIG. 2, the lifelog smart education system according to an embodiment of the present invention communicates with and receives information from a plurality of SNS servers 20 and objects 30 around the user.

In addition, the evaluation results of the lifelog smart education system will be shared with the institutions 40 using the lifelog smart education system.

The lifelog smart education system may be performed on a user terminal or a separate server, and may be a personal computer, a tablet, a mobile device, or the like for learning on the web or an app, and may provide browsing for providing learning information according to the type of the terminal. Can be done.

The lifelog collection unit 100 of the lifelog smart education system collects lifelog information on a social network for a corresponding user based on a consent for searching personal information from a plurality of SNS servers 20 in which personal privacy information is registered and stored. .

The SNS server 20 may be Facebook, Kakao Story, Twitter, Line, Band, KakaoTalk, Facebook, Blog, Polar, Post, Instagram, Plane and the like.

The objects 30 in the vicinity of the user may be connected to the IoT and provide information to the user. The objects 30 may be connected to the object information collecting unit 200 through Bluetooth or near field communication (NFC), sensor data, or network. You can give and receive. For example, it may include a car and facilities that the user can move and face, and may also include a CCTV that can recognize the location of the user. In addition, it can be applied to all the things connected to the Internet of Things that can collect information.

The institutions 40 using the lifelog smart education system receive the evaluation result according to the corresponding education contents from the evaluation result transmitting unit 400 based on the blockchain. For example, evaluation results can be provided by institutions such as schools, city halls, police stations, hospitals, and airports, so that institutions can establish order and improve public awareness.

If a book containing the evaluation results according to the user's education contents is shared on the blockchain, an institution using the Lifelog smart education system such as city hall and school can share a user's book to prevent duplication and over-training.

3 is a block diagram showing the object information collecting unit 200 of the lifelog smart education system 10 according to an embodiment of the present invention.

Referring to FIG. 2, the object information collection unit 200 includes a coordinate input unit 210, an interest location coordinate generation unit 220, and a thing network input unit 230.

The coordinate input unit 210 receives coordinate information regarding latitude and longitude at a point where the user's location is tracked.

The ROI coordinate generation unit 220 calculates the ROI coordinates by generating a 3D map by adding ROI information of the user on the map in which the coordinate information is reflected.

The thing network input unit 230 receives object information of the thing about at least one thing around the coordinates of the location of interest through the thing network.

4 is a diagram illustrating user interest location coordinates of the interest location coordinate generator 220 according to an exemplary embodiment.

The coordinate input unit 210 receives coordinate information regarding latitude and longitude at a point where the user's location is tracked.

Coordinate information of one point where the user's location is tracked preferably reflects the geographical coordinates (GPS) determined by the satellite navigation system.

The user's location is displayed on the axis of time and place over time to record the user's movement information.

The ROI coordinate generation unit 220 calculates the ROI coordinates by generating a 3D map by adding ROI information of the user on the map in which the coordinate information is reflected.

An interest axis indicating the interest of the user is added to a two-dimensional space generated by the axis of time and place, and the interest is added according to the time the user stays in the place where the user moves and the frequency of visiting the place. The degree of interest may be determined by integrating the emotion information posted by the user on the SNS and the period in which the user gazes at an object in the region of interest.

The degree of interest may take into account points of interest. A point of interest (PoI) is a particular location on the map or drawings in the real world that a particular person is interested in. In addition, the point of interest (PoI) includes the location information of the building around the road to provide a vehicle driver to easily find the target point.

In one embodiment of the present invention, the coordinates of the user's location of interest calculated by generating a 3D map are place time relation (PTR) information generated based on the 3D map, and set IoT variables for each region according to the generated location information. And communicate with objects around the user.

Therefore, PTR (Place Time Relation) information can be built as a primary database, and educational information can be provided by combining the information of things into the Internet of Things according to local IoT variables to create educational scenarios.

In addition, the time, place, and interest in the space consisting of time, place, and interest are defined as the sum of the vectors, respectively, and the information of the surrounding objects is changed in real time according to the change of the weight, and new education scenarios can be generated. .

5 is a block diagram illustrating an education scenario generator 300 of the lifelog smart education system 10 according to an exemplary embodiment of the present invention.

Referring to FIG. 5, the training scenario generator 300 may include a database 310, a situation analysis module 320, a category data generator 330, a situation scenario database 340, and a training page configuration unit 350. Include.

The database 310 stores lifelog information of a user and object information of a thing.

The context analysis module 320 extracts user location information and user emotion information included in the lifelog information stored in the database 310, and separates the user location information by category based on places previously registered in the civic education scenario. do.

Situation analysis module 320 from the lifelog information stored in the database 310,

If the tracked gaze of the user is determined to stare at a point over a preset time, the location included in the point is extracted as the user location information.

The user emotion information is extracted from the lifelog information recorded while staring at the one point.

The category data generator 330 extracts object collection information included in the object information of the object stored in the database 310, and adds the object collection information to the user location information divided by the category to provide a table of data for each category. Create

The category data generation unit 330 sets the region corresponding to the user location information as the information collection region in the object information of the object stored in the database 310 to display the object information of the object included in the information collection region. Extract it as collected information,

The thing collection information is information including social trend information of the thing based on the information collecting region, interest point information based on the information collecting region, and tag information of the thing based on the information collecting region.

The situation scenario database 340 classifies contextual information for civic education by category.

The situation scenario database 340 includes first situational information using the user location information as a variable, second situational information using the user emotion information as a variable, and third situational information using the thing collection information as a variable. To set contextual information,

The contextual information may be combined in accordance with the user location information and the object collection information corresponding to a category in the data table to configure an educational situation.

The training page configuration unit 350 selects an education situation based on the user location information and the object collection information corresponding to a category in the data table of the category data generation unit from the situation scenario database in response to preset contextual information. This constitutes a training page with a formatted structure.

The training page configuration unit 350 configures a plurality of training situations by combining the user location information and the thing collection information corresponding to a category in the data table of the category data generation unit from the situation scenario database.

6 is a diagram illustrating a data table of the category data generator 330 according to an embodiment of the present invention.

Referring to FIG. 6, the data table includes an interest order 331, user location information 332, user emotion information 333, time information 334, thing object information 335, and object collection information 336. do.

The user location information 332 may be listed in order of high interest. As shown in FIG. 4, the degree of interest is added according to the time the user stays in the place where the user moves and the frequency of visiting the place. You can choose the length of time you take the exam.

User emotion information 333 is information about the emotion of the user extracted from the information contained in the lifelog information received from the SNS server in which the user is active. For example, when the user is located in school, if the feelings of tiredness and busyness are expressed on SNS, the tiredness and busyness information is extracted by extracting emotion information from the school from the information collected by the lifelog collector 100. At this time, the user is to extract the time information was located in the school.

The time information 334 is information containing time at one point where the user's location is tracked. When the time information 334 is collected, the location of the user and the emotion information of the user may be analyzed over time.

The thing object information 335 is information collected from a thing around a coordinate of the location of interest. In one embodiment of the present invention, the coordinates of the user's location of interest calculated by generating a 3D map are place time relation (PTR) information generated based on the 3D map, and set IoT variables for each region according to the generated location information. And communicate with objects around the user.

The thing collection information 336 sets an area corresponding to user location information as the information collection area from the object information of the object stored in the database to extract object information of the thing included in the information collection area as the thing collection information, The thing collection information is information including social trend information of the thing based on the information collecting region, interest point information based on the information collecting region, and tag information of the thing based on the information collecting region.

For example, when a user is located in a train, the ticket and seat of the train included in the area corresponding to the train are collected as object object information, and the arrival time confirmation information of the ticket is extracted from the collected ticket and seat information. And, the information on the train etiquette of the seat is to be extracted as the object collection information (336).

Accordingly, the situation scenario database 340 may include first contextual information using the user location information as a variable, second contextual information using the user emotion information as a variable, and third contextual information using the thing collection information as a variable. The contextual information is set including the information, and the education page configuration unit 350 configures a plurality of educational situations by combining the user location information and the thing collection information corresponding to the category in the data table.

When the user is located in the train, extracting the arrival time confirmation information of the ticket, using the information on the train etiquette of the seat, the training page configuration unit 350 checks the arrival time in advance so that the user does not have a mistake in the schedule The training page is configured and provided to the user, and the training page for train etiquette may be configured and provided to the user so that the user does not make noise in the seat.

7 is a block diagram illustrating an evaluation result transmitting unit 400 of the lifelog smart education system 10 according to an embodiment of the present invention.

Referring to FIG. 7, the evaluation result transmitter 400 may include a node server designator 410, a block data receiver 420, a block data generator 430, a block data storage 440, and a block data transmitter ( 450).

The node server designation unit 410 designates a server using the lifelog smart education system as a plurality of node servers.

The block data receiver 420 receives one or more block data from the first node server, and the block data is extracted from the first node server as education authentication data within a specific period of time for the user.

The block data generation unit 430 generates the user evaluation data by checking the completion level of the citizen education according to the category for the citizen education of the user, combining the block data with the completion of the education scenario generation.

The block data storage unit 440 combines one or more user evaluation data into a blockchain and stores the evaluation block data.

The block data transmitter 450 transmits one or more evaluation block data to the second node server.

The evaluation block data is stored in a distributed ledger method in a plurality of node servers connected through a blockchain, and the evaluation block data includes hash information of the ledger.

8 is a view showing the sharing of the evaluation results of the evaluation result transmission unit 400 according to an embodiment of the present invention.

The evaluation result transmitter 400 propagates the evaluation result information to other nodes on the blockchain network, and the evaluation result is eventually propagated to all nodes of the blockchain network.

Referring to FIG. 8, node A, node B, node C, node D and node E share the same ledger on a blockchain network.

Node A, Node B, Node C, Node D and Node E are servers using the lifelog smart education system, and the node server designation unit 410 designates these nodes as a plurality of node servers.

The block data receiving unit 420 receives one or more block data from any first node server, and the block data is education authentication data 421 within a specific period range for the user.

The block data generation unit 430 generates the user evaluation data 423 by checking the level of completion of citizen education according to the category for citizen education of the user and combining the block data with the block data.

The block data storage unit 440 combines one or more user evaluation data into the blockchain and stores the evaluation data as the evaluation block data 431.

The block data transmitter 450 transmits one or more evaluation block data 431 to the second node server.

The evaluation block data is stored in a distributed ledger scheme in a plurality of node servers connected through a blockchain, and the evaluation block data includes hash information 425 of the ledger.

9 is a flowchart illustrating a training method of a lifelog smart training system according to an embodiment of the present invention.

Referring to FIG. 9, the education method of the lifelog smart education system starts in the lifelog collection step (S110) in which the lifelog collecting unit 100 collects lifelog information based on a user's location.

In operation S120, the object information collecting unit 200 calculates the coordinates of the ROI of the user at a point where the location of the user is tracked and collects object information of the object around the coordinates of the ROI.

In operation S130, the coordinate input unit 210 receives coordinate information regarding latitude and longitude at a point where the user's location is tracked.

In operation S140, the ROI generation unit 220 generates a 3D map by adding ROI information of a user on a map in which coordinate information is reflected, and calculates the ROI coordinates of the user.

In operation S150, the thing network input unit 230 receives object information of the thing about at least one thing around the coordinates of the location of interest through the thing network.

In operation S160, the education scenario generation unit 300 generates an education scenario using lifelog information of the user and object information of the thing.

In step S170, when the evaluation result transmission unit 400 finishes the generation of the training scenario, the evaluation result according to the training content is shared based on the blockchain, and the training method of the lifelog smart education system is terminated.

10 is a flowchart illustrating a training scenario generation step of a training method of a lifelog smart training system according to an embodiment of the present invention.

Referring to FIG. 10, in operation S160, the education scenario generator 300 generates an education scenario using user lifelog information and object information of the thing.

The training scenario generation step starts with the step of the database 310 storing the user's lifelog information and the object information of the thing in the database (S161).

In step S162, the context analysis module 320 extracts user location information and user emotion information included in the stored lifelog information, and separates the user location information by category based on a place previously registered in a civic education scenario. Analyze

In the situation analysis step (S162), when it is determined that the tracked gaze of the user gazes at a point over a preset time in the lifelog information stored in the database, the position included in the point is determined. The user location information is extracted, and the user emotion information is extracted from the lifelog information recorded while staring at the point.

In step S163, the category data generating unit 330 extracts object collection information included in the object information of the object stored in the database, and adds the object collection information to the user location information separated by the category to provide a table of data for each category. Create

In step S164, the situation scenario database 340 sets up a situation scenario classified by category for contextual information for civic education.

The setting of the situation scenarios classified by the category of the contextual information for civic education by category (S164) may include: first contextual information using user location information as a variable, second contextual information using the user emotion information as a variable; Setting contextual information including third contextual information using the thing collection information as a variable,

The contextual information may be combined in accordance with the user location information and the object collection information corresponding to the category in the data table to configure an educational situation.

In step S165, the training page configuration unit 350 is based on the user context information and the object collection information corresponding to a category in the data table of the category data generation unit from the situation scenario database in response to preset contextual information. In step S166, the training page constructing unit 350 constructs a training page having a formatted structure, and the training scenario generation step ends.

Here, step S163 to step S165 may be repeated in the construction of the training page.

In step S165, the training page is configured from the situation scenario database to form a plurality of training situations by combining the user location information and the thing collection information corresponding to the category in the data table of the category data generation unit.

11 is a flowchart illustrating a training scenario generation step of a training method of a lifelog smart training system according to an embodiment of the present invention.

Referring to FIG. 11, in operation S170, when the evaluation result transmission unit 400 finishes the generation of the education scenario, the evaluation result transmission unit 400 shares the evaluation result according to the corresponding education content on the blockchain basis.

The transmission of the evaluation result starts at the step (S171) in which the node server designation unit 410 designates a node server designating a server using the lifelog smart education system as a plurality of node servers.

In step S172, the block data receiving unit 420 receives one or more block data from the first node server, and the block data is extracted from the first node server as education authentication data within a specific period range for the user.

In step S173, the block data generation unit 430 generates the user evaluation data by checking the level of civic education according to the category for civic education of the user and combining the block data with the block data.

In operation S174, the block data storage unit 440 combines one or more user evaluation data into the blockchain and stores the evaluation block data.

In step S175, the block data transmitter 450 transmits one or more evaluation block data to the second node server, and the training scenario generation step ends.

Here, the evaluation block data is stored in a distributed ledger method in a plurality of node servers connected through a blockchain, and the evaluation block data includes hash information of the ledger.

12 is a diagram illustrating a scenario of an education method of a lifelog smart education system according to an embodiment of the present invention.

12 illustrates an example in which a citizen passes by a trashcan.

The lifelog smart education system according to an embodiment of the present invention checks the citizen's location and garbage to be discarded by sensing the citizen's device and the object of the trash, and determines whether the citizen first listens to the education or listens again. If classes are not taken, trash etiquette is prepared in the smart education library, and if classes are taken, citizens' actions can be recorded with smart city sensing equipment without sending education such as videos. In addition, smart education content may be provided to the user based on augmented reality and virtual reality.

Accordingly, in the case of good behavior, a complimentary relay and an evaluation are given immediately. If the garbage is thrown in the wrong order, for example, the recording is deleted and no evaluation is given.

If it is a misdemeanor, the system is not a collection of personal information to monitor and punish citizens, so it can be equipped with various security technologies besides non-identification to delete it.

Citizen's good deeds can be accumulated, evaluated and scored, and afterwards, tax reductions, bus discounts, and other benefits can be stored and video clips, sounds, etc. that have done good deeds can be stored in objects at the location.

In addition, the lifelog smart education system according to an embodiment of the present invention is recorded on a non-transitory computer readable storage medium including computer program instructions executable by a processor to provide an education method of the lifelog smart education system. As a computer program for performing, the lifelog collection step of collecting lifelog information based on the location of the user when the computer program instructions are executed, the location of interest of the user at a point where the location of the user is tracked Operations including an object information collecting step of calculating coordinates and collecting object information of objects around the coordinates of the location of interest, and generating a training scenario using a user's lifelog information and object information of the object; Computer program to perform It provides.

Such computer-readable media may include, alone or in combination with the program instructions, data files, data structures, and the like. The program instructions recorded on the recording medium may be those specially designed and constructed for the present invention, or may be known and available to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tape, optical media such as CD-ROMs, DVDs, and magnetic disks, such as floppy disks. Magneto-optical media, and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

The above description is only an embodiment of the present invention, and those skilled in the art may implement the present invention in a modified form without departing from the essential characteristics of the present invention. Therefore, the scope of the present invention should not be limited to the above-described examples, but should be construed to include various embodiments within the scope equivalent to those described in the claims.

10: Lifelog Smart Education System
100: lifelog collection unit
200: object information collecting unit
300: training scenario generator
400: evaluation result transmission unit

Claims (15)

A lifelog collector configured to collect lifelog information based on a location of a user;
An object information collecting unit configured to calculate coordinates of the location of the user's interest at a point where the location of the user is tracked and collect object information of the object around the coordinates of the location of the interest;
An education scenario generator configured to generate an education scenario using lifelog information of the user and object information of the thing; And
When the generation of the training scenario is finished, a blockchain-based evaluation result transmission unit for sharing the evaluation results according to the training content;
The evaluation result transmission unit may include a node server designation unit that designates servers using a lifelog smart education system as a plurality of node servers;
A block data receiver configured to receive one or more block data from a first node server, wherein the block data is education authentication data within a specific period range for the user and is extracted from the first node server;
A block data generation unit generating a user evaluation data by checking a citizen education completion level according to a category for citizen education of the user and combining the block data when the education scenario generation is finished;
A block data storage unit for combining the one or more user evaluation data to a blockchain and storing the evaluation block data; And
A block data transmitter for transmitting the at least one evaluation block data to a second node server; Including
The evaluation block data is stored in a distributed ledger scheme in a plurality of node servers connected through a blockchain, and the evaluation block data includes hash information of the ledger. The method of claim 1,
The object information collecting unit,
A coordinate input unit configured to receive coordinate information regarding latitude and longitude at a point where the user's location is tracked;
An interest location coordinate generation unit configured to add a region of interest of the user on the map reflecting the coordinate information to generate a 3D map to calculate the location coordinates of interest; And
A thing network input unit configured to receive object information of the thing about at least one thing around the coordinates of the location of interest through a thing network; Lifelog smart education system comprising a. The method of claim 2,
The training scenario generation unit,
A database storing lifelog information of the user and object information of the thing;
A situation analysis module that extracts user location information and user emotion information included in the lifelog information stored in the database and separates the user location information by category based on a place previously registered in a civic education scenario;
A category data generator configured to extract thing collection information included in object information of the thing stored in the database, and generate a category data table by adding the thing collection information to user location information separated for each category;
A situation scenario database in which contextual information for civic education is classified by category; And
In response to preset contextual information, a training situation is selected according to the user location information and the object collection information corresponding to a category in the data table of the category data generation unit from the situation scenario database, and the training is formatted. Education page configuration unit constituting the page; Lifelog smart education system comprising a. The method of claim 3,
The situation analysis module,
In the lifelog information stored in the database,
If the tracked gaze of the user is determined to stare at a point over a preset time, the location included in the point is extracted as the user location information.
Life log smart education system, characterized in that for extracting the user emotion information from the life log information recorded while staring at the one point. The method of claim 3,
The category data generation unit,
Setting an area corresponding to the user location information as the information collection area from the object information of the object stored in the database to extract object information of the object included in the information collection area as the object collection information,
The thing collection information is life log smart, characterized in that the information including the social trend information of the thing based on the information collecting region, the point of interest information based on the information collecting region and the tag information of the thing based on the information collecting region. Education system. The method of claim 3,
The situation scenario database,
Setting contextual information including first contextual information using the user location information as a variable, second contextual information using the user emotion information as a variable, and third contextual information using the object collection information as a variable; ,
The situation-specific information,
Life log smart education system, characterized in that the training situation can be configured in combination according to the user location information and the object collection information corresponding to the category in the data table. The method of claim 6,
The education page configuration unit,
And a plurality of educational situations are configured by combining according to the user location information and the object collection information corresponding to a category in the data table of the category data generation unit from the situation scenario database. delete A lifelog collection step of collecting lifelog information based on a location of a user received from the user terminal, the lifelog collecting unit of the server providing learning information to a user terminal;
An object information collecting step of calculating, by an object information collecting unit, a coordinate of a location of interest of the user at a point where the location of the user is tracked, and collecting object information of an object around the coordinate of the location of interest;
An education scenario generation step of generating, by the education scenario generation unit, an education scenario using the lifelog information of the user and the object information of the thing; And
When the evaluation result transmission unit finishes the generation of the training scenario, the blockchain-based evaluation results transmission step of sharing the evaluation results according to the training content; includes,
The object information collecting step may include: a coordinate input step in which a coordinate input unit receives coordinate information regarding latitude and longitude at a point where the user's location is tracked;
An interest location coordinate generation step of generating a 3D map by adding the ROI information of the user on the map in which the ROI coordinate generation unit is reflected, and calculating the ROI coordinates; And
A thing network input step of receiving, by a thing network input unit, object information of the thing about at least one thing around the coordinates of the location of interest through the thing network;
The transmitting of the evaluation result may include: specifying, by a node server designator, a node server that designates servers using a lifelog smart education system as a plurality of node servers;
A block data receiving unit receiving one or more block data from a first node server, wherein the block data is education authentication data within a specific period range for the user and is extracted by the first node server;
A block data generation step of generating, by the block data generation unit, user evaluation data by checking a citizen education completion level according to a category for citizen education of the user by combining the block data with the completion of the education scenario generation;
A block data storage step of storing, by the block data storage unit, the one or more user evaluation data into the block chain and storing the evaluation data as evaluation block data; And
A block data transmission step of transmitting, by a block data transmission unit, the one or more evaluation block data to a second node server; Including
The evaluation block data is stored in a distributed ledger scheme in a plurality of node servers connected through a blockchain, and the evaluation block data includes hash information of the ledger. The method of claim 9,
The server may include a database storing the lifelog information of the user and the object information of the thing, and a situation scenario database in which contextual information for citizen education is categorized into categories.
In the training scenario generation step, the context analysis module extracts user location information and user emotion information included in the lifelog information stored in the database, and generates the user location information based on a location previously registered in a citizen education scenario. A situation analysis step of separating by category;
Extracting, by a category data generation unit, object collection information included in object information of the object stored in the database, and generating the category data table by adding the object collection information to user location information separated for each category; And
The education page configuration unit selects an education situation based on the user location information and the object collection information corresponding to a category in the data table from the situation scenario database in response to preset contextual information, and has a formatted education page. Configuring a; Lifelog smart training method comprising a. The method of claim 10,
The situation analysis step,
In the lifelog information stored in the database,
If the tracked gaze of the user is determined to stare at a point over a preset time, the location included in the point is extracted as the user location information.
And extracting the user emotion information from the lifelog information recorded while staring at the one point. delete The method of claim 10,
Comprising the training page,
And a plurality of educational situations by combining the user location information and the thing collection information corresponding to a category in the data table from the situation scenario database to configure a plurality of educational situations. delete A computer program recorded on a storage medium for executing the lifelog smart education method according to any one of claims 9 to 11 and 13, executed by a processor.

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