WO2018207978A1 - Method for providing o2o service - Google Patents

Abstract

Disclosed is a method for providing, via a user terminal, a user location-based O2O service by extracting same from a cloud server. The method comprises the steps of: the cloud server determining the current location of a user by means of one wireless network selected from a plurality of wireless networks; the cloud server extracting movement information of the user on the basis of data received from the user terminal, and determining the movement type of the user by comparing the extracted movement information with a plurality of pre-stored movement type information; transmitting, to the user terminal, a task map having O2O service-related information corresponding to the determined current location and the movement type indicated thereon; and displaying the transmitted task map via the user terminal.

Description

How to provide O2O service

The present invention relates to an O2O service providing method, and more particularly, to an O2O service providing method for providing O2O service information based on a user's location through a mobile terminal.

Recently, with the development of performance of electronic devices and the spread of communication networks, various services are provided through networks. In addition, the expansion of the mobile terminal market allows users to access the Internet anytime, anywhere, regardless of time and place.

In recent years, O2O (Online to Offline) services through mobile terminals have attracted attention. O2O service can be used to refer to a marketing method that collects customers online and brings them offline. The O2O service may include a method of directly communicating with a user and a seller online, and a method of brokering a user and a seller online. This O2O technology has the advantage of providing both online convenience and offline instantaneousness, which is very likely to be expanded in the future.

Meanwhile, companies that provide services using this O2O technology are also increasing. However, the conventional O2O service is provided based on the industry, and a list of O2O services for each industry is displayed through the user terminal, and the user is provided with the O2O service by selecting one of the displayed lists.

However, since the conventional O2O service providing method does not reflect the location of the user, the accuracy of the O2O service is lowered. For example, even if a user located in region A requests to provide O2O service, the O2O service provider located in region B may be displayed, and thus there is a problem in that the user cannot receive optimal service in the current region.

The present invention is in accordance with the above-described needs, an object of the present invention is to provide the O2O service information based on the location of the user by grasping the current location and movement information of the user and providing the O2O service information accordingly. To provide.

In order to achieve the above object, O2O service providing method according to an embodiment of the present invention, the cloud server determines the current location of the user by the selected one of the plurality of wireless networks, the cloud server received from the user terminal Extracting the movement information of the user based on the data, and comparing the plurality of stored movement type information with the extracted movement information to determine the movement type of the user, and to correspond to the determined current location and movement type. And transmitting the task map displaying the information on the map to the user terminal, and displaying the transmitted task map through the user terminal.

The determining of the current location may include receiving a location signal through a GPS module included in the user terminal, when the received location signal is less than a preset value or when the location signal is not received within a preset time. Selecting one of Wi-Fi or CDMA included in the network of the user terminal having a relatively high signal strength, and selecting the positioning network; and receiving a signal through the selected positioning network to receive the current location. And determining with a Global Indoor Positioning System based algorithm.

In addition, the plurality of movement type information is information on a change in movement speed per unit time of each of the plurality of movement means, and determining the movement type includes measuring a change in movement time and movement speed of the user, measured movement per movement time Comparing the change in the speed with a plurality of previously stored movement type information, and determining the movement means corresponding to the change in the movement speed similar to the change in the measured movement speed as the movement type.

The method may further include updating the map at different intervals according to the determined movement type.

The method may further include receiving requests for providing O2O services through a plurality of other user terminals, respectively receiving selected O2O service providing regions through a plurality of other user terminals, and information on O2O services on a map corresponding to the selected region. Generating a plurality of sub task maps each of which is displayed; and generating and storing one upper task map combined with the generated plurality of sub task maps in a storage unit; transmitting the task maps; May divide the task map corresponding to the determined current location and movement type from the stored upper task map and transmit the divided task map to the user terminal.

The method may further include receiving usage information on the O2O service of the user through the divided task map and adding and updating the received usage information to the stored upper task map.

In addition, each step of receiving the O2O service providing area may set a coordinate range, select an administrative area, or set a point of interest (POI) list.

In addition, the plurality of subtask maps may include usage information on O2O services of a plurality of other users.

In addition, data about the O2O service may be stored in the cache memory of the cloud server.

The method may further include storing data regarding the O2O service in a cloudlet server and extracting data regarding the O2O service already provided through the user terminal or another user terminal through the cloudlet server.

The method may further include storing sensing data, image data, and text data input through another user terminal in a cloud server with respect to an O2O service, and providing stored sensing data, image data, and text data through a user terminal. have.

In addition, the input image data may be further analyzed by a CNN (Convolutional Neural Network), and the input text data may further include analyzing the RNN (Recurrent Neural Network).

According to at least one of the embodiments of the present invention, since the O2O service information is provided based on the location of the user, the O2O service actually required by the user may be provided. In addition, since the exact current location and movement type of the user can be determined, the accuracy of O2O service provision is increased.

Further scope of the applicability of the present invention will become apparent from the following detailed description. However, various changes and modifications within the spirit and scope of the present invention can be clearly understood by those skilled in the art, and therefore, specific embodiments, such as the detailed description and the preferred embodiments of the present invention, should be understood to be given by way of example only.

1 is an example of a conceptual diagram illustrating an O2O service system according to an embodiment of the present invention;

2 is an example of a block diagram for a mobile terminal according to one embodiment of the present invention;

3 is an example of a block diagram of various frameworks of software used in the mobile terminal 100 or the server 200 according to an embodiment of the present invention.

4 is an example of a diagram for describing an integrated cloud service framework;

5 is an example of a diagram for describing a cloudlet server framework;

6 is an example of a diagram for describing a crowd sensing framework;

7 is an example of a diagram for describing a cloud big data management framework;

8 is an example of a diagram for describing a deep learning engine framework;

9 is an example of a flowchart of a method of providing an O2O service according to an embodiment of the present invention;

10 is an example of a diagram for describing an IPS-based real-time location information generation framework;

11 is an example of a diagram for describing a motion-based map management framework.

12 to 13 are examples of a diagram for describing a user location-based O2O service information map generation framework.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings, and the same or similar components are denoted by the same reference numerals regardless of the reference numerals, and redundant description thereof will be omitted. The suffixes "module" and "unit" for components used in the following description are given or used in consideration of ease of specification, and do not have distinct meanings or roles from each other. In addition, in describing the embodiments disclosed herein, when it is determined that the detailed description of the related known technology may obscure the gist of the embodiments disclosed herein, the detailed description thereof will be omitted. In addition, the accompanying drawings are intended to facilitate understanding of the embodiments disclosed herein, but are not limited to the technical spirit disclosed herein by the accompanying drawings, all changes included in the spirit and scope of the present invention. It should be understood to include equivalents and substitutes.

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

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. On the other hand, when a component is said to be "directly connected" or "directly connected" to another component, it should be understood that there is no other component in between.

Singular expressions include plural expressions unless the context clearly indicates otherwise.

The terms "comprise" or "having" in the present application are intended to indicate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, and that one or more other features It should be understood that it does not exclude in advance the possibility of the presence or addition of numbers, steps, operations, components, parts or combinations thereof.

Although there is no corresponding code in a specific drawing described in the present application, if there is a corresponding sign in the drawings described before, it can be described by marking it.

1 is a conceptual diagram illustrating an O2O service system according to an embodiment of the present invention.

Referring to FIG. 1, the O2O service system may include a mobile terminal 100, a server 200, and an affiliated store terminal 300. In this case, the mobile terminal 100 refers to a terminal of a user who wants to receive O2O service, and the mobile terminal 100 and the affiliated store terminal 300 may each have a plurality of terminals.

The mobile terminal 100 may be, for example, a laptop computer, a mobile phone, a smart phone, a personal digital assistant, a portable multimedia player, a slate PC, or a tablet PC. tablet PC), ultrabook, and the like. Accordingly, the user may request to provide O2O service through the mobile terminal 100, and the server 200 may transmit the requested O2O service information to the mobile terminal 100.

The server 200 may be implemented in the form of a cloud server (Cloud Server), a web server (Web Server), a swap server (WAB Server). In addition, the software may include a program module implemented through various languages such as C, C ++, Java, Visual Basic, and Visual C to perform various functions.

The affiliated store terminal 300 may refer to a device used by a vendor (subsidiary) that provides O2O service. A merchant may mean a private store, a store, or a shop or store in an alliance or federation of an organization. In addition, the affiliated store may refer to a company that provides various kinds of products or services. For example, a restaurant, a store that produces or sells a product, and a service business that provides various services offline (for example, a cleaning business, a quick service business, and an agency operation) Ups, delivery services, etc.).

2 is an example of a block diagram of a mobile terminal according to an embodiment of the present invention. Hereinafter, the term mobile terminal is used, but it has the same meaning as a user terminal. Referring to FIG. 2, the mobile terminal 100 includes a wireless communication unit 110, an input unit 120, a sensing unit 140, an output unit 150, an interface unit 160, a memory 170, and a controller 180. And a power supply unit 190. The components shown in FIG. 2 are not essential to implementing a mobile terminal, so a mobile terminal described herein may have more or fewer components than those listed above.

More specifically, the wireless communication unit 110 enables wireless communication between the mobile terminal 100 and the wireless communication system, between the mobile terminal 100 and another mobile terminal 100, or between the mobile terminal 100 and the server. It may include one or more modules. In addition, the wireless communication unit 110 may include one or more modules for connecting the mobile terminal 100 to one or more networks.

The wireless communication unit 110 may include at least one of the broadcast receiving module 111, the mobile communication module 112, the wireless internet module 113, the short range communication module 114, and the location information module 115.

The input unit 120 may include a camera 121 or an image input unit for inputting an image signal, a microphone 122 or an audio input unit for inputting an audio signal, and a user input unit 123 (eg, a touch) for receiving information from a user. Keys (touch keys, mechanical keys, etc.). The voice data or the image data collected by the input unit 120 may be analyzed and processed as a control command of the user.

The sensing unit 140 may include one or more sensors for sensing at least one of information in the mobile terminal 100, surrounding environment information surrounding the mobile terminal 100, and user information. For example, the sensing unit 140 may include a proximity sensor 141, an illumination sensor 142, an illumination sensor, a touch sensor, an acceleration sensor, a magnetic sensor, and a gravity sensor. (G-sensor), gyroscope sensor, motion sensor, RGB sensor, infrared sensor (IR sensor), fingerprint scan sensor, ultrasonic sensor, Optical sensors (e.g. cameras 121), microphones (see 122), battery gauges, environmental sensors (e.g. barometers, hygrometers, thermometers, radiation sensors, heat Detection sensors, gas detection sensors, etc.), chemical sensors (eg, electronic nose, healthcare sensors, biometric sensors, etc.). Meanwhile, the mobile terminal 100 disclosed herein may use a combination of information sensed by at least two or more of these sensors.

The output unit 150 is used to generate an output related to sight, hearing, or tactile sense, and includes at least one of a display unit 151, an audio output unit 152, a hap tip module 153, and an optical output unit 154. can do. The display unit 151 forms a layer structure with or is integrally formed with the touch sensor, thereby implementing a touch screen. The touch screen may function as a user input unit 123 that provides an input interface between the mobile terminal 100 and the user, and may also provide an output interface between the mobile terminal 100 and the user.

The interface unit 160 serves as a path to various types of external devices connected to the mobile terminal 100. The interface unit 160 is a port for connecting a device equipped with a wired / wireless headset port, an external charger port, a wired / wireless data port, a memory card port, and an identification module. (port), an audio I / O (Input / Output) port, a video I / O (Input / Output) port, and an earphone port. In response to the external device being connected to the interface unit 160, the mobile terminal 100 may perform appropriate control related to the connected external device.

The memory 170 stores data supporting various functions of the mobile terminal 100. The memory 170 may store a plurality of application programs or applications driven in the mobile terminal 100, data for operating the mobile terminal 100, and instructions. At least some of these applications may be downloaded from a server via wireless communication. In addition, at least some of these application programs may exist on the mobile terminal 100 from the time of shipment for basic functions of the mobile terminal 100 (for example, a call forwarding, a calling function, a message receiving, and a calling function). The application program may be stored in the memory 170 and installed on the mobile terminal 100 to be driven by the controller 180 to perform an operation (or function) of the mobile terminal.

In addition to the operations related to the application program, the controller 180 typically controls the overall operations of the mobile terminal 100. The controller 180 may provide or process information or a function appropriate to a user by processing signals, data, information, and the like, which are input or output through the above-described components, or by driving an application program stored in the memory 170.

In addition, the controller 180 may control at least some of the components described with reference to FIG. 2 in order to drive an application program stored in the memory 170. In addition, the controller 180 may operate by combining at least two or more of the components included in the mobile terminal 100 to drive an application program.

The power supply unit 190 receives power from an external power source and an internal power source under the control of the controller 180 to supply power to each component included in the mobile terminal 100. The power supply unit 190 includes a battery, and the battery may be a built-in battery or a replaceable battery.

At least some of the components may operate in cooperation with each other to implement an operation, control, or control method of the mobile terminal according to various embodiments described below. In addition, the operation, control, or control method of the mobile terminal may be implemented on the mobile terminal by driving at least one application program stored in the memory 170.

Hereinafter, the components listed above will be described in detail with reference to FIG. 2 before looking at various embodiments implemented through the mobile terminal 100 described above.

First, the wireless communication unit 110 will be described. The broadcast reception module 111 of the wireless communication unit 110 receives a broadcast signal and / or broadcast related information from an external broadcast management server through a broadcast channel. The broadcast channel may include a satellite channel and a terrestrial channel. Two or more broadcast receiving modules may be provided to the mobile terminal 100 for simultaneous broadcast reception or broadcast channel switching for at least two broadcast channels.

The mobile communication module 112 includes technical standards or communication schemes for mobile communication (for example, Global System for Mobile communication (GSM), Code Division Multi Access (CDMA), Code Division Multi Access 2000 (CDMA2000), and EV-). Enhanced Voice-Data Optimized or Enhanced Voice-Data Only (DO), Wideband CDMA (WCDMA), High Speed Downlink Packet Access (HSDPA), High Speed Uplink Packet Access (HSUPA), Long Term Evolution (LTE), LTE-A ( Long Term Evolution-Advanced) and the like to transmit and receive a radio signal with at least one of a base station, an external terminal, a server.

The wireless signal may include various types of data according to transmission and reception of a voice call signal, a video call call signal, or a text / multimedia message.

The wireless internet module 113 refers to a module for wireless internet access and may be embedded or external to the mobile terminal 100. The wireless internet module 113 is configured to transmit and receive wireless signals in a communication network according to wireless internet technologies.

Wireless Internet technologies include, for example, Wireless LAN (WLAN), Wireless-Fidelity (Wi-Fi), Wireless Fidelity (Wi-Fi) Direct, Digital Living Network Alliance (DLNA), Wireless Broadband (WiBro), World Interoperability (WiMAX) for Microwave Access (HSDPA), High Speed Downlink Packet Access (HSDPA), High Speed Uplink Packet Access (HSUPA), Long Term Evolution (LTE), Long Term Evolution-Advanced (LTE-A), and the like. The data is transmitted and received according to at least one wireless Internet technology in a range including the Internet technologies not listed above.

In view of the fact that the wireless Internet access through WiBro, HSDPA, HSUPA, GSM, CDMA, WCDMA, LTE, LTE-A, etc. is made through the mobile communication network, the wireless Internet module 113 for performing the wireless Internet access through the mobile communication network It may be understood as a kind of mobile communication module 112.

The short range communication module 114 is for short range communication, and includes Bluetooth ™, Radio Frequency Identification (RFID), Infrared Data Association (IrDA), Ultra Wideband (UWB), ZigBee, and NFC. (Near Field Communication), at least one of Wi-Fi (Wireless-Fidelity), Wi-Fi Direct, Wireless USB (Wireless Universal Serial Bus) technology can be used to support short-range communication. The short range communication module 114 may be connected between the mobile terminal 100 and a wireless communication system, between the mobile terminal 100 and another mobile terminal 100, or with the mobile terminal 100 through a wireless area network. It may support wireless communication between networks in which other mobile terminals 100 or servers are located. The local area network may be local area network (Wireless Personal Area Networks).

Herein, the other mobile terminal 100 is a wearable device capable of exchanging data (or interworking) with the mobile terminal 100 according to the present invention, for example, a smartwatch, a smart glass. glass, head mounted display (HMD). The short range communication module 114 may detect (or recognize) a wearable device that can communicate with the mobile terminal 100 around the mobile terminal 100. Further, when the detected wearable device is a device that is authenticated to communicate with the mobile terminal 100 according to the present invention, the controller 180 may include at least a portion of the data processed by the mobile terminal 100, and the local area communication module 114. Can be transmitted to the wearable device. Accordingly, a user of the wearable device may use data processed by the mobile terminal 100 through the wearable device. For example, according to this, when a call is received by the mobile terminal 100, the user performs a phone call through the wearable device, or when the message is received by the mobile terminal 100, the user receives a message received through the wearable device. It is possible to confirm.

The location information module 115 is a module for obtaining a location (or current location) of a mobile terminal, and a representative example thereof is a Global Positioning System (GPS) module or a Wireless Fidelity (WiFi) module. For example, if the mobile terminal utilizes a GPS module, the mobile terminal can acquire a location of the mobile terminal using a signal transmitted from a GPS satellite. As another example, when the mobile terminal utilizes the Wi-Fi module, the mobile terminal may acquire the location of the mobile terminal based on the information of the wireless access point (AP) transmitting or receiving the Wi-Fi module and the wireless signal. If necessary, the location information module 115 may perform any function of other modules of the wireless communication unit 110 in order to substitute or additionally obtain data regarding the location of the mobile terminal. The location information module 115 is a module used to obtain the location (or current location) of the mobile terminal, and is not limited to a module that directly calculates or obtains the location of the mobile terminal.

Next, the input unit 120 is for inputting image information (or signal), audio information (or signal), data, or information input from a user. For input of image information, the mobile terminal 100 is one. Alternatively, the plurality of cameras 121 may be provided. The camera 121 processes image frames such as still images or moving images obtained by the image sensor in the video call mode or the photographing mode. The processed image frame may be displayed on the display unit 151 or stored in the memory 170. Meanwhile, the plurality of cameras 121 provided in the mobile terminal 100 may be arranged to form a matrix structure. The camera 121 having the matrix structure may have various angles or focuses on the mobile terminal 100. A plurality of image information may be input. In addition, the plurality of cameras 121 may be arranged in a stereo structure to obtain a left image and a right image for implementing a stereoscopic image.

The microphone 122 processes external sound signals into electrical voice data. The processed voice data may be variously used according to a function (or an application program being executed) performed by the mobile terminal 100. Meanwhile, various noise reduction algorithms may be implemented in the microphone 122 to remove noise generated while receiving an external sound signal.

The user input unit 123 is for receiving information from a user. When information is input through the user input unit 123, the controller 180 may control an operation of the mobile terminal 100 to correspond to the input information. . The user input unit 123 may be a mechanical input means (or a mechanical key, for example, a button, a dome switch, a jog wheel, a jog switch, located at the front or rear or side of the mobile terminal 100). Etc.) and touch input means. As an example, the touch input means may include a virtual key, a soft key, or a visual key displayed on the touch screen through a software process, or may be disposed on a portion other than the touch screen. It may be made of a touch key. Meanwhile, the virtual key or the visual key may be displayed on the touch screen in various forms, for example, in graphic, text, icon, video, or a combination thereof. Can be done.

Meanwhile, the sensing unit 140 senses at least one of information in the mobile terminal, surrounding environment information surrounding the mobile terminal, and user information, and generates a sensing signal corresponding thereto. The controller 180 may control driving or operation of the mobile terminal 100 or perform data processing, function or operation related to an application program installed in the mobile terminal 100 based on the sensing signal. Representative sensors among various sensors that may be included in the sensing unit 140 will be described in more detail.

First, the proximity sensor 141 refers to a sensor that detects the presence or absence of an object approaching a predetermined detection surface or an object present in the vicinity without using a mechanical contact by using an electromagnetic force or infrared rays. In the proximity sensor 141, the proximity sensor 141 may be disposed near the touch screen or an inner region of the mobile terminal covered by the touch screen.

Examples of the proximity sensor 141 include a transmission photoelectric sensor, a direct reflection photoelectric sensor, a mirror reflection photoelectric sensor, a high frequency oscillation proximity sensor, a capacitive proximity sensor, a magnetic proximity sensor, and an infrared proximity sensor. In the case where the touch screen is capacitive, the proximity sensor 141 may be configured to detect the proximity of the object with the change of the electric field according to the proximity of the conductive object. In this case, the touch screen (or touch sensor) itself may be classified as a proximity sensor.

On the other hand, for convenience of explanation, the action of allowing the object to be recognized without being in contact with the touch screen so that the object is located on the touch screen is called a "proximity touch", and the object on the touch screen Is actually referred to as "contact touch". The position where the object is in close proximity touch on the touch screen refers to a position where the object is perpendicular to the touch screen when the object is in close proximity touch. The proximity sensor 141 may detect a proximity touch and a proximity touch pattern (eg, a proximity touch distance, a proximity touch direction, a proximity touch speed, a proximity touch time, a proximity touch position, and a proximity touch movement state). Meanwhile, as described above, the controller 180 processes data (or information) corresponding to the proximity touch operation and the proximity touch pattern detected by the proximity sensor 141, and further, touch screen visual information corresponding to the processed data. Can be output to the image. Further, the controller 180 may control the mobile terminal 100 to process different operations or data (or information) according to whether the touch on the same point on the touch screen is a proximity touch or a touch touch.

The touch sensor applies a touch (or touch input) applied to the touch screen (or the display unit 151) using at least one of various touch methods such as a resistive film method, a capacitive method, an infrared method, an ultrasonic method, and a magnetic field method. Detect.

As an example, the touch sensor may be configured to convert a change in pressure applied to a specific portion of the touch screen or capacitance generated at a specific portion into an electrical input signal. The touch sensor may be configured to detect a position, an area, a pressure at the touch, a capacitance at the touch, and the like, when the touch object applying the touch on the touch screen is touched on the touch sensor. Here, the touch object is an object applying a touch to the touch sensor and may be, for example, a finger, a touch pen, a stylus pen, a pointer, or the like.

As such, when there is a touch input to the touch sensor, the corresponding signal (s) is sent to the touch controller. The touch controller processes the signal (s) and then transmits the corresponding data to the controller 180. As a result, the controller 180 can know which area of the display unit 151 is touched. The touch controller may be a separate component from the controller 180 or may be the controller 180 itself.

The controller 180 may perform different control or perform the same control according to the type of the touch object, which touches the touch screen (or a touch key provided in addition to the touch screen). Whether to perform different control or the same control according to the type of touch object may be determined according to the operation state of the mobile terminal 100 or an application program being executed.

Meanwhile, the touch sensor and the proximity sensor described above, independently or in combination, may be used for short (or tap) touch, long touch, multi touch, and drag touch for the touch screen. , Touches such as flick touch, pinch-in touch, pinch-out touch, swipe touch, hovering touch, etc. You can sense it.

The ultrasonic sensor may recognize location information of a sensing object using ultrasonic waves. On the other hand, the controller 180 can calculate the position of the wave generation source through the information detected from the optical sensor and the plurality of ultrasonic sensors. The position of the wave source can be calculated using the property that light is much faster than ultrasonic waves, that is, the time that the light reaches the optical sensor is much faster than the time when the ultrasonic wave reaches the ultrasonic sensor. More specifically, the position of the wave generation source may be calculated using a time difference from the time when the ultrasonic wave reaches the light as the reference signal.

On the other hand, the camera 121 in the configuration of the input unit 120 includes at least one of a camera sensor (eg, CCD, CMOS, etc.), a photo sensor (or an image sensor) and a laser sensor.

The camera 121 and the laser sensor may be combined with each other to detect a touch of a sensing object with respect to a 3D stereoscopic image. The photo sensor may be stacked on the display element, which is configured to scan the movement of the sensing object in proximity to the touch screen. More specifically, the photo sensor mounts a photo diode and a transistor (TR) in a row / column to scan contents loaded on the photo sensor by using an electrical signal that changes according to the amount of light applied to the photo diode. That is, the photo sensor calculates coordinates of the sensing object according to the amount of change of light, and thus the position information of the sensing object can be obtained.

The display unit 151 displays (outputs) information processed by the mobile terminal 100. For example, the display unit 151 may display execution screen information of an application program driven in the mobile terminal 100 or user interface (UI) and graphical user interface (GUI) information according to the execution screen information.

In addition, the display unit 151 may be configured as a stereoscopic display unit for displaying a stereoscopic image.

The stereoscopic display unit may be a three-dimensional display method such as a stereoscopic method (glasses method), an auto stereoscopic method (glasses-free method), a projection method (holographic method).

The sound output unit 152 may output audio data received from the wireless communication unit 110 or stored in the memory 170 in a call signal reception, a call mode or a recording mode, a voice recognition mode, a broadcast reception mode, and the like. The sound output unit 152 may also output a sound signal related to a function (for example, a call signal reception sound and a message reception sound) performed in the mobile terminal 100. The sound output unit 152 may include a receiver, a speaker, a buzzer, and the like.

The haptic module 153 generates various haptic effects that a user can feel. A representative example of the tactile effect generated by the haptic module 153 may be vibration. The intensity and pattern of vibration generated by the haptic module 153 may be controlled by the user's selection or the setting of the controller. For example, the haptic module 153 may synthesize different vibrations and output them or output them sequentially.

In addition to the vibration, the haptic module 153 is a pin array that vertically moves with respect to the contact skin surface, the jetting force or suction force of the air through the injection or inlet, the grazing to the skin surface, the contact of the electrode, the electrostatic force, and the like. Various haptic effects, such as an effect and the effect of reproducing a sense of cold using the element which can endotherm and generate | occur | produce heat, can be produced. The haptic module 153 may not only deliver a tactile effect through direct contact, but also may allow a user to feel the tactile effect through a muscle sense such as a finger or an arm. Two or more haptic modules 153 may be provided according to a configuration aspect of the mobile terminal 100.

The light output unit 154 outputs a signal for notifying occurrence of an event by using light of a light source of the mobile terminal 100. Examples of events occurring in the mobile terminal 100 may be message reception, call signal reception, missed call, alarm, schedule notification, email reception, information reception through an application, and the like.

The signal output from the light output unit 154 is implemented as the mobile terminal emits light of a single color or a plurality of colors to the front or the rear. The signal output may be terminated by the mobile terminal detecting the user's event confirmation.

The interface unit 160 serves as a path to all external devices connected to the mobile terminal 100. The interface unit 160 receives data from an external device, receives power, transfers the power to each component inside the mobile terminal 100, or transmits data inside the mobile terminal 100 to an external device. For example, a wired / wireless headset port, an external charger port, a wired / wireless data port, a memory card port, a port for connecting a device equipped with an identification module ( A port, an audio input / output (I / O) port, a video input / output (I / O) port, an earphone port, etc. may be included in the interface unit 160.

On the other hand, the identification module is a chip that stores a variety of information for authenticating the usage rights of the mobile terminal 100, a user identification module (UIM), subscriber identity module (SIM), universal user authentication module It may include a universal subscriber identity module (USIM) and the like. A device equipped with an identification module (hereinafter referred to as an 'identification device') may be manufactured in the form of a smart card. Therefore, the identification device may be connected to the terminal 100 through the interface unit 160.

In addition, when the mobile terminal 100 is connected to an external cradle, the interface unit 160 becomes a passage through which power from the cradle is supplied to the mobile terminal 100, or various command signals input from the cradle are moved by the user. It may be a passage that is delivered to the terminal 100. Various command signals or power input from the cradle may operate as signals for recognizing that the mobile terminal 100 is correctly mounted on the cradle.

The memory 170 may store a program for the operation of the controller 180 and may temporarily store input / output data (for example, a phone book, a message, a still image, a video, etc.). The memory 170 may store data regarding vibration and sound of various patterns output when a touch is input on the touch screen.

The memory 170 may include a flash memory type, a hard disk type, a solid state disk type, an SSD type, a silicon disk drive type, and a multimedia card micro type. ), Card-type memory (e.g., SD or XD memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read It may include at least one type of storage medium of -only memory (PROM), programmable read-only memory (PROM), magnetic memory, magnetic disk and optical disk. The mobile terminal 100 may be operated in connection with a web storage that performs a storage function of the memory 170 on the Internet.

As described above, the controller 180 controls an operation related to an application program and generally the overall operation of the mobile terminal 100. For example, if the state of the mobile terminal satisfies a set condition, the controller 180 may execute or release a lock state that restricts input of a user's control command to applications.

Also, the controller 180 may perform control and processing related to voice call, data communication, video call, or the like, or may perform pattern recognition processing for recognizing handwriting or drawing input performed on a touch screen as text and images, respectively. have. Furthermore, the controller 180 may control any one or a plurality of components described above in order to implement various embodiments described below on the mobile terminal 100 according to the present invention.

The power supply unit 190 receives an external power source and an internal power source under the control of the controller 180 to supply power for operation of each component. The power supply unit 190 includes a battery, and the battery may be a built-in battery configured to be rechargeable, and may be detachably coupled to the terminal body for charging.

In addition, the power supply unit 190 may be provided with a connection port, the connection port may be configured as an example of the interface 160 that is electrically connected to the external charger for supplying power for charging the battery.

As another example, the power supply unit 190 may be configured to charge the battery in a wireless manner without using a connection port. In this case, the power supply unit 190 uses the at least one of an inductive coupling based on magnetic induction or a magnetic resonance coupling based on an electromagnetic resonance from an external wireless power transmitter. Can be delivered.

Meanwhile, various embodiments of the present disclosure may be implemented in a recording medium readable by a computer or a similar device using, for example, software, hardware, or a combination thereof.

3 is a block diagram of various frameworks of software used in the mobile terminal 100 or the server 200 according to an embodiment of the present invention. Referring to FIG. 3, the framework may be classified into a deep learning based O2O service information analysis framework and a user location based O2O service framework.

Deep learning-based O2O service information analysis framework includes integrated cloud service framework, cloudlet server framework, crowd sensing framework, cloud big data management framework, deep learning engine framework do. According to the deep learning O2O service information analysis framework including such various frameworks, the service usage information such as O2O service review that cannot be modified or deleted by the company and O2O service information provided by the company are classified and analyzed together, Reliable service can be provided. Each framework will be described with reference to FIGS. 4 to 8.

The user location based O2O service framework includes an integrated positioning system (IPS) based real time location information generation framework, a user location based O2O service information map generation framework, and a motion based map management framework. According to the IPS-based real-time location information generation framework including such various frameworks, a personalized O2O service using activity information, location information, and sharing information of O2O service users can be provided. Each framework will be described in FIG. 8 and subsequent drawings.

4 is an example of a diagram for describing an integrated cloud service framework. In the following description of the known technology will be omitted.

Referring to FIG. 4, a platform as a service (PaaS), a platform of a cloud environment, and an infrastructure as a service (IaaS), an infrastructure service, operate in connection with each other. In order to operate an O2O service platform based on a cloud environment, a system capable of managing session data that can be shared among various services is required. According to the present invention, a cache system may be used as illustrated in FIG. 4. That is, data with high access frequency can be stored in cache memory.

Therefore, the data of the user terminal, the O2O service platform, and the cloud server may be stored in the cache memory, thereby reducing the overload generated when accessing frequently requested or provided data and maintaining the support speed of the service. .

5 is an example of a diagram for describing a cloudlet server framework. In the following description of the known technology will be omitted.

The user or service experienced person can request the knowledge information through the mobile terminal. For example, a user may request a service through a mobile terminal to receive an O2O service, and O2O service information corresponding to the request may be displayed through the mobile terminal.

In this case, as shown in FIG. 5, data for requesting a service may be transmitted from a user terminal to a cloudlet using a high-speed wireless link such as Wi-Fi. The service request data transmitted to the cloudlet may be transmitted to the clone application VM via a proxy virtual machine (VM).

Here, the clone application VM may determine whether there is a record of performing the same request by inquiring previously processed data. If there is a record in which the received service request data has been processed, the clone application VM may transmit the same data recorded in the clone application VM to the user terminal. Therefore, if there is a duplicate service request through the user terminal, since the requested service is provided from the cloudlet server, the overload of the back-end server is prevented, and the feedback rate for the duplicated service request can be increased.

However, if there is no record of the received service request data, the service request data is transmitted to the backend server inside the cloud server, and the result data corresponding to the service request is extracted from the backend server, and the extracted result data is the cloudlet. It may be transmitted to the user terminal through the server or to the user terminal without passing through the cloudlet server.

6 is an example of a diagram for describing a crowd sensing framework. In the following description of the known technology will be omitted.

The user terminal may make a request for providing a service to the server, and information about a service provided by the user may be stored in the server. Hereinafter, a process of transmitting various data collected from a user who has received a service to a server will be described.

According to the present invention, a user's movement and direction signals are measured through various sensors included in the mobile terminal, for example, an acceleration sensor, a gyroscope sensor, a proximity sensor, a gravity sensor, a gesture sensor, a compass, a barometer, a thermometer, a hygrometer, and the like. Can be. In addition, the environment information and the road information of the region where the mobile terminal is located may be grasped by various external sensors and cameras of the region. Various signals and information collected in this manner are transmitted to the server, and the server may store information received from the mobile terminal in the form of sensing data, image data, text data, and the like.

Here, the image data is data about an image of a region photographed by a camera included in a mobile terminal or a camera of a corresponding region. Data. The text data is textual data input by the user through the mobile terminal. Specifically, the text data refers to text regarding comments such as the location where the user is located, the area where the service is provided, or the user's review of the service / product provided. do. The sensing data may mean the rest of the various data as described above except for image data and text data.

Accordingly, the user who is provided with the service, that is, the experienced person, may transmit information related to the provided service to the server through the mobile terminal in various data formats, and the server may store the transmitted data.

Meanwhile, the sensing data may be transmitted to and stored in a cloud server, and thus the aforementioned various data may be filtered. For example, the user terminal changes the original data into data filtered through at least one notch filter, band pass filter (BPF), low pass filter (LPF), high pass filter (HPF), and the like, to the cloud server. Can transmit

Therefore, the information related to the service provided by the experienced person may be stored in the server as refined information that has been filtered.

7 is an example of a diagram for describing a cloud big data management framework. In the following description of the known technology will be omitted.

First, Hbase is a distributed column-based database that converts real-time O2O service area big data that field server delivers to cloud environment into low key and column family of large-capacity HTable, and temporarily stores the converted data in HRegion of Hbase. According to the present invention, Hbase manages a client through HMaster, and creates, modifies, and deletes an HTable to store collected data in a storage unit. The HRegion Server manages multiple HRegions and temporarily stores the data of the HTable in the storage. The plurality of HRegion servers each include a plurality of storage units. Data temporarily stored in the storage unit is stored on the disk when the storage unit is full, and the temporary file is deleted. The HLog, which is one in each HRegion, stores the access records of the HRegion to prevent the loss of the contents stored in the storage. The data stored in Hbase is distributed back to HDFS (Hadoop Distributed File System). The distributed data is extracted and delivered to the user's request through Map, Sort, and Reduce process.

According to this method, information big data about the O2O service area collected in real time can be recorded in the form of a column.

The page fault handler (PFHS) of the big data management framework, on the other hand, prioritizes and filters to reduce bottlenecks created during map and reduce processes. In detail, in order to solve the disadvantage that the merge operation is performed in the reduce module even though the merge process is not necessary, a method of generating a map filter in which only data necessary for merging is involved in the reduce operation will be described.

First, the Map Reduce application checks the information on the Job to be executed through the Job Client and the Job Tracker, executes Job initialization, and allocates the jobs in the order of Task Trackers that are located closest to the network. Build. The job tracker assigned the job by the initial scheduling acquires the information of the divided file from the HDFS and allocates the map, sort, and reduce jobs to each task tracker. Here, Task Tracker calculates the performance of Task Tracker by exchanging Heart Beat between Job Tracker and Task Tracker to remove the work delay and bottleneck that occurs during Map, Sort, and Reduce process, and sets the priority according to the calculated performance. Schedule the priority. In addition, when the Task Tracker performs a Sort operation, the key priority is scheduled to reduce the wait of the Task Tracker to perform the Reduce operation.

On the other hand, Task Trackers that are assigned a Map job from Job Tracker create a map filter through their own tasks. In detail, after acquiring the actual partition data in the first partition from HDFS, map filter data is collected by generating an intermediate result divided into Key, index, and Value using a map function. Extract key and index from intermediate output using map function, and create Bloom Filter using k hash functions. In this case, Bloom Filter data sharing process can be established through communication protocol between Task Tracker and each task. Also, the Bloom filter with high error rate is extracted by using the false positive rate calculated through the Bloom Filter. Accordingly, a map module equipped with a map filtering function delivered to a buffer or a sort module may be generated by comparing and analyzing collected data to which a hash function is applied using a map filter and bloom filter data inside the filter.

Therefore, in processing the service information big data collected by the crowd sensing framework, priority scheduling and map filtering techniques are used, and thus, big data can be efficiently managed by eliminating work delays and bottlenecks.

8 is an example of a diagram for describing a deep learning engine framework. In the following description of the known technology will be omitted.

Referring to FIG. 8, the deep learning engine framework receives data from a cloud big data management framework. The data may be image data or text data input from an experienced person using the O2O service.

In this case, the deep learning engine framework analyzes the collected image data by CNN (Convolutional Neural Network) to analyze the service usage status of the experienced person. In addition, the deep learning engine framework analyzes the received text data with Long Shot Term Memory (LSTM), which is a Recurrent Neural Network (RNN), and analyzes the service satisfaction and service usage status of the experienced user. In this way, it is possible to analyze the image data and the text data which is the data of the experienced person received from the cloud big data management framework.

9 is an example of a flowchart of a method of providing an O2O service according to an embodiment of the present invention.

Referring to FIG. 9, first, a current location of a user is determined (S910). Specifically, location data by various location sensors or location modules of the user terminal is transmitted to the server. However, if the magnitude of the position signal through the positioning sensor or the positioning module is less than the preset value or the position signal is not received within the preset time, the current position of the user may be determined by any one selected from Wi-Fi or CDMA. This will be described in detail with reference to FIG. 10.

In addition, the server receives data from the user terminal, and extracts the movement information of the user based on the received data (S920). Here, the movement information may mean information about a movement speed, a movement time, a movement distance, etc. of the user extracted based on the data received from the user terminal.

In this case, the server may store in advance information on various types of movements, for example, walking, buses, taxis, cars, trains, trains and bicycles. Accordingly, the server may compare the plurality of stored movement type information with the extracted user's movement information, and determine the movement type corresponding to the movement type information most similar to the extracted user's movement information as the movement type of the user (S930). . This will be described in detail with reference to FIG. 11.

Thereafter, the server transmits a task map displaying information on the O2O service on a map to correspond to the current location and movement type of the user (S940), and the mobile terminal displays the received task map (S950). This will be described in detail with reference to FIGS. 12 to 13.

10 is an example of a diagram for describing an IPS-based real-time location information generation framework. In the following description of the known technology will be omitted.

Referring to FIG. 10, first, basic positioning information on a current location of a user is generated by a GPS module embedded in a mobile terminal. For example, since a user located in region A may receive a satellite signal well, user location information may be generated through the GPS module of the mobile terminal.

However, since area B may be an area in which GPS signals are not smoothly received, such as indoors, in-car, in-flight, and underground, location information of a user located in area B cannot be properly generated. Accordingly, when the GPS signal strength is less than the preset value or when the GPS signal does not arrive within the preset time, the mobile terminal may switch the positioning information receiving mode using the GPS to the external signal receiving mode. The external signal reception mode may mean measuring the current location of the mobile terminal using Wi-Fi or CDMA.

In this case, a positioning wireless network can be selected in consideration of the signal strengths of Wi-Fi and CDMA. For example, when a signal is received three or more times in succession from a network having a relatively high strength signal among Wi-Fi and CDMA, the corresponding wireless network may be selected as a wireless network used for positioning selection. If the signal strengths of Wi-Fi and CDMA are similar, Wi-Fi may be selected as the wireless network used for positioning. Because CDMA is a measurement signal of more than a few hundred meters, while Wi-Fi is 100 ~ 200m, it is preferable to give priority to the Wi-Fi signal transmitted radio signal from a close position. Therefore, GIPS (Global Indoor Positioning System) based positioning algorithm can be applied using the signal of the wireless network selected by the above method. Since the detailed GIPS based positioning algorithm is well known, the detailed description will be omitted. .

Meanwhile, in order to improve the accuracy of the positioning, the cloud server may correct the location information by using a speed-based back off algorithm. First, set a temporary buffer to apply the backoff algorithm, and record the data in the following table format.

Req Time

Ack time

Sync time

Back off

Average vehicle speed

Through the Req Time field, the moving time can be determined during the delay time caused by the retransmission of the signal, and the current position information proportional to the moving time and the average speed can be corrected using the value of the moving average speed field of the user. If the field value is null, record the transmission time of the Req message and deliver the Req frame. If there is a collision in the network as a result of inquiring whether a Req frame is collided, the value of the Req Time field is updated with the time difference between the arrival time of the retransmitted Req frame and the existing Req Time value. The Ack Time field and Sync Time field are also the same as the Req Time field.

Meanwhile, the moving speed based backoff algorithm is as follows. It is assumed that the user is moving by using the vehicle.

1: Buffer (Req_field) = Request Message generation time; 2: Req_ack = Call Infrastructure (Request Message); 3: if (Req_ack = True) then 4: Req_ack = Call Infrastructure (Req_retrabsnussion); 5: Req_time = Req_rfta-Req_mtt; 6 Req_ps = Buffer (Req_transferposition); 7: Req_avs = Buffer (Average vehicle speed); 8: Req_pec = proportion (Req_time, Req_avs); 9: Req_cp = Average (Req_pec, Req_rps); 10: Buffer (Average vehicle speed) = Null; 11: Buffer (Req_time) = Null;

Specifically, the request message is recorded after recording the creation time of the request message in the buffer to the infrastructure for transmitting the wireless communication signal information with the user terminal. After that, it waits until the Ack Message for the Request Message is returned from the Infrastructure for the preset time. If the Ack message does not come or there is a network collision during the preset time, the terminal resends the request message and updates the Req Time field recorded in the buffer as shown in Equation (1).

Req_time = Req_rfta-Req_mtt ... equation (1)

Also, in order to correct the error range of the location information caused by the collision in the network, the field is corrected as shown in Equation 2 by using the average vehicle speed field of the buffer.

Req_pec = Req_time ∝ Average vehicle speed ┒ ... equation (2)

Req_cp = Average (Req_pec, Req_rps) ┛

Therefore, the positioning information is updated to the corrected error position, and the values of the time field and the average vehicle speed field where a collision occurs are initialized to null. The same is true for Ack and Sync messages.

Therefore, GPS, WiFi, or CDMA can be used to perform GIPS-based positioning according to radio signal strength, and improve the accuracy of positioning by correcting the position with a backoff algorithm that records the network collision speed of the positioning system. have. In this manner, the user location information generated in the IPS-based real-time location information generation framework is transferred to the user location-based O2O information map generation framework.

11 is an example of a diagram for describing a motion-based map management framework. In the following description of the known technology will be omitted.

Each data is collected in real time from the gyroscope, accelerometer, gravity sensor, etc. built in the mobile terminal. In addition, the location information of the user is generated through the GIPS as described above. Therefore, the user's moving speed, moving distance, and moving time are extracted by using the data collected from the sensor embedded in the mobile terminal and the positioning information of the GIPS.

As illustrated in FIG. 11, movement type information is generated according to a movement period of a user, that is, a movement speed per unit time. In this case, the movement type information according to each of the foot, the car, the bus, the subway, the train, the bicycle, the motorcycle, the plane, etc. may be stored in advance in the mobile terminal or the server. Therefore, the movement type of the user may be inferred by applying the movement type information of the user to previously stored movement data. That is, the movement type corresponding to the change of the movement speed most similar to the change of the movement speed of the user may be determined as the movement type by comparing the change of the movement speed per movement time of the user with a plurality of previously stored movement type information.

Meanwhile, the update period of the O2O service information map is determined according to the movement motion of the user and the road status of the region where the user is located as described above. Therefore, it is possible to provide a seamless O2O service information map service even in real time by using the navigation map open source.

Meanwhile, the O2O service information map information updated by the motion-based map management framework in response to the movement of the user is transferred to the user location-based O2O information map generation framework.

12 to 13 are examples of a diagram for describing a user location-based O2O service information map generation framework. Hereinafter, a process of generating an O2O service information map based on a user location will be described, and description of a known technology will be omitted.

First, a method of generating a higher task map by generating a sub task map and combining or combining the generated sub task maps will be described. The user may request to provide O2O service through the mobile terminal. Upon receiving the request, the mobile terminal requests a task for providing an O2O service to the server. When there is a task request from the mobile terminal, the sub task map is generated using the spatial region, time, spatial query, compensation, etc. which are the basic components of the online knowledge map.

Here, the spatial area setting means setting a local range or a spatial range of a location-based task by defining a coordinate range of a map, selecting an administrative area, or setting a point of interest (POI) list. Therefore, when the region range of the task is set by setting the spatial region, a subtask map including O2O service information within the set region range is generated.

In this case, the mobile terminal or server creates a form of a location-based report, and the generated report form is stored in the server in JSON format. Therefore, the server refers to the stored JSON data and generates a location-based report on the subtask map that the participant will perform. In this case, the detailed format of the JSON data consists of the required attributes, such as ID, title, etc., depending on the input form that is generated, and the location-based report is already located at the location of the participant (ie O2O service requester or O2O service experiencer). Contains the contents of the O2O service provided. Accordingly, the generated subtask map may include content related to the location-based report of the participant who has already received the service, and the user may search for the service to be provided through the subtask map provided to the mobile terminal.

For example, as shown in FIG. 12, if a user located in region A is provided with O2O service, contents, videos, reviews, etc. of the provided service are transmitted to the server along with a subtask map provided to the corresponding user terminal. Stored. The same is true for users located in area B and users located in area C. As such, if there are a plurality of participants who have received O2O service within the region, a plurality of subtask maps may be generated and stored in the server, and a plurality of location-based reports may be generated and stored. However, if the O2O service has not been provided within the area, the generated subtask map does not include the location-based report, and the location-based report of the user who received the O2O service for the first time in the area is sent to the server for storage. Can be.

The plurality of subtask maps generated in this manner may be combined into one upper task map and stored in the server. For example, as shown in FIG. 13, information on location-based O2O services used by a plurality of users is included in one higher task map and stored in a server.

In the following description, a method of requesting a subtask map by a user will be described.

The sub task map is generated based on the higher task map generated in the above-described manner. That is, the location based task is performed by dividing the upper task map into sub task maps and providing the plurality of users with reference to the location based task report generated by the task request. For example, as shown in FIG. 13, while a higher task map is stored in a server, a user located in region A may request to provide O2O service. In this case, the server may provide the O2O service by identifying the location of the user and dividing the subtask map of the region A among the higher task maps from the upper task map to the corresponding mobile terminal.

Here, dividing the upper task map into sub task maps is based on the spatial area of the upper task map set by the requestor. Therefore, if the spatial area is a POI list, one subtask map is generated for each POI. If the spatial area is an administrative area or a map coordinate range, the sub task map is generated by dividing the grid area in consideration of the number of participants.

Thereafter, after the user receives the O2O service through the provided subtask map, user information on the provided service, that is, service content, video, and reviews, is transmitted to the server along with the subtask map provided to the user terminal. Therefore, the subtask map is updated by adding new contents, and the server may update the upper task map by adding the updated subtask map to the upper task map.

By analyzing the location-based data collected through the task creation, assignment and integration process as described above or the location-based data shared by other spatial task requesters, the knowledge of the space is expressed as an analytic map in the form of a map and presented to the user. to provide. In addition, in the propagation of knowledge about the space, story maps are generated by adding media data, such as images and videos, and user interpretations and opinions to a plurality of report maps and analysis maps generated in the previous collection and analysis phase.

Therefore, the data collected by the crowd sensing framework and user location information are modeled as map-based information to generate a map according to the current location, and provide a list of service providers and additional service lists of companies to the user terminal for accurate service. Provision may be made.

The present invention described above can be embodied as computer readable codes on a medium in which a program is recorded. The computer readable medium includes all kinds of recording devices that store data that can be read by a computer system. Examples of computer-readable media include hard disk drives (HDDs), solid state disks (SSDs), silicon disk drives (SDDs), ROM, RAM, CD-ROMs, magnetic tapes, floppy disks, and optical data storage devices. And also implemented in the form of a carrier wave (eg, transmission over the Internet). The computer may also include a controller 180 of the terminal. The above detailed description, therefore, is not to be taken in a limiting sense in all respects and should be considered as illustrative. The scope of the invention should be determined by reasonable interpretation of the appended claims, and all changes within the equivalent scope of the invention are included in the scope of the invention.

Claims (12)

1. In the method for extracting O2O service according to the location of the user from the cloud server to provide through the user terminal,

   Determining, by the cloud server, the current location of the user by a selected one of a plurality of wireless networks;

   Determining, by the cloud server, movement information of the user based on data received from the user terminal, and comparing the plurality of stored movement type information with the extracted movement information to determine the movement type of the user;

   Transmitting a task map displaying information on an O2O service on a map to correspond to the determined current location and movement type to the user terminal; And

   And displaying the transmitted task map through the user terminal.
2. The method of claim 1,

   The determining of the current location

   Receiving a location signal through a GPS module included in the user terminal;

   When the magnitude of the received location signal is less than a preset value or when the location signal is not received within a preset time, the strength of the signal received by the user terminal among Wi-Fi or CDMA included in the plurality of networks is increased. Selecting a relatively high one to select a positioning network; And

   Receiving a signal through the selected positioning network and determining the current position by a Global Indoor Positioning System (GIPS) based algorithm; and providing an O2O service.
3. The method of claim 1,

   The plurality of movement type information

   Information on the change in the moving speed per unit time of each of the plurality of moving means,

   Determining the type of movement

   Measuring a change in movement time and movement speed of the user;

   Comparing the measured change in movement speed per movement time with the previously stored plurality of movement type informations; And

   And determining, as the movement type, a moving means corresponding to the change in the movement speed which is similar to the measured change in the movement speed.
4. The method of claim 3,

   And updating the map at different intervals according to the determined movement type.
5. The method of claim 1,

   Receiving requests for providing the O2O service through a plurality of other user terminals, respectively;

   Receiving a selected O2O service providing area through the plurality of other user terminals, respectively;

   Generating a plurality of subtask maps each displaying information on the O2O service on a map corresponding to the selected region; And

   Generating one higher task map combined with the generated plurality of sub task maps and storing the one upper task map in a storage unit;

   The step of transmitting the task map

   And dividing the task map corresponding to the determined current location and movement type from the stored upper task map and transmitting the divided task map to the user terminal.
6. The method of claim 5,

   Receiving usage information of the user's O2O service through the user terminal through the divided task map; And

   And updating the received usage information by adding the received usage information to the stored upper task map.
7. The method of claim 5,

   Receiving each of the O2O service providing area

   O2O service providing method characterized by setting the coordinate range, select the administrative area, or set the Point Of Interest (POI) list.
8. The method of claim 5,

   The plurality of subtask maps

   O2O service providing method comprising the usage information on the O2O service of the plurality of other users.
9. The method of claim 1,

   The data relating to the O2O service is stored in the cache memory of the cloud server.
10. The method of claim 1,

    Storing data regarding the O2O service in a cloudlet server; And

    And extracting data regarding the O2O service already provided through the user terminal or another user terminal through the cloudlet server.
11. The method of claim 1,

    Storing sensing data, image data, and text data input through another user terminal on the O2O service in the cloud server; And

    And providing the stored sensing data, image data, and text data through the user terminal.
12. The method of claim 11,

    And analyzing the input image data by a convolutional neural network (CNN) and analyzing the input text data by a recurrent neural network (RNN).

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