KR20180123773A - Method for providing online to offline service - Google Patents

Abstract

Disclosed is a method for extracting an O2O service according to a position of a user from a cloud server to provide the O2O service through a user terminal. According to the present invention, the method comprises the steps of: allowing a cloud server to determine a current position of a user by one selected among a plurality of wireless networks; allowing the cloud server to extract movement information of the user based on data received from a user terminal and compare the extracted movement information with a pre-stored multiple movement type information to determine a movement type of the user; transmitting a task map displaying information on an O2O service to correspond to the determined current position and the movement type to the user terminal; and displaying the transmitted task map through the user terminal.

Description

METHOD FOR PROVIDING ONLINE TO OFFLINE 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 location of a user through a mobile terminal.

2. Description of the Related Art [0002] With the recent development of electronic devices and spread of communication networks, various services are provided through a network. In addition, due to the expansion of the mobile terminal market, users can access the Internet at any time regardless of time and place by using mobile terminals.

Recently, O2O (Online to Offline) service through mobile terminals is attracting attention. The O2O service can be used to refer to a marketing approach that brings customers online and brings them offline. These O2O services can include direct communication between users and sellers online, and brokering to connect users and sellers online. Such O2O technology has the advantage of providing online convenience and offline immediacy at the same time, so it is very likely to expand in the future.

Meanwhile, the number of companies providing services using O2O technology is also increasing. However, the conventional O2O service is provided on the basis of a business type. The O2O service list of each business type 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 method of providing the O2O service does not reflect the location of the user, the accuracy of the O2O service is lowered. For example, even if a user in the A area requests to provide the O2O service, the O2O service provider located in the B area can be displayed, so that the user can not receive the optimal service in the present location.

It is an object of the present invention to provide an O2O service providing method of providing O2O service information based on a location of a user by grasping a user's current location and movement information and providing O2O service information according to the information .

According to another aspect of the present invention, there is provided a method of providing an O2O service, the method comprising: a cloud server determining a current location of a user by a selected one of a plurality of wireless networks; Extracting the movement information of the user based on the data, comparing the plurality of pre-stored movement type information with the extracted movement information, determining the movement type of the user, determining the movement type of the O2O service 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 step of determining the current position may further include receiving a position signal through a GPS module included in the user terminal, if the received position signal is less than a predetermined value, or when the position signal is not received within a predetermined time, Selecting one of the Wi-Fi or CDMA signals included in the network of the user terminal as a positioning network having a relatively high intensity of a signal received by the user terminal, receiving the signal through the selected positioning network, (Global Indoor Positioning System) based algorithm.

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

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

Receiving a request to provide an O2O service through a plurality of other user terminals, respectively receiving a selected O2O service providing area through a plurality of other user terminals, receiving information about the O2O service on a map corresponding to the selected area, Generating a plurality of sub-task maps each representing a plurality of sub-task maps, and generating an upper task map in which the generated plurality of sub-task maps are combined and storing the generated upper-level task map in a storage unit, May divide the task map corresponding to the determined current position and movement type from the stored upper task map and transmit the divided task map to the user terminal.

Receiving the usage information of the user's O2O service through the divided task map through the user terminal, and updating the received usage information by adding the received usage information to the stored upper task map.

In addition, each step of receiving the O2O service providing area can set a coordinate range, select an administrative area, or set a POI (Point Of Interest) list.

Also, the plurality of sub-task maps may include usage information for the O2O services of a plurality of other users.

Data about the O2O service can also be stored in the cache memory of the cloud server.

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

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

Further, the input image data may be analyzed by CNN (Convolutional Neural Network), and the inputted text data may be analyzed by RNN (Recurrent Neural Network).

According to at least one embodiment of the present invention, since the O2O service information is provided based on the location of the user, the O2O service that the user substantially needs can be provided. Also, the precise current location and type of movement of the user can be determined, thereby increasing the accuracy of the O2O service provision.

Further scope of applicability of the present invention will become apparent from the following detailed description. It should be understood, however, that the detailed description and specific examples, such as the preferred embodiments of the invention, are given by way of illustration only, since various changes and modifications within the spirit and scope of the invention will become apparent to those skilled in the art.

1 is a conceptual diagram illustrating an O2O service system according to an embodiment of the present invention;
2 is a block diagram of a mobile terminal according to an embodiment of the present invention.
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,
4 is an example of a diagram for explaining an integrated cloud service framework,
5 is an example of a diagram for explaining a cloudlet server framework,
6 is a diagram illustrating an example of a crowd sensing framework,
7 is an example of a diagram for explaining a cloud big data management framework,
8 is an example of a diagram for explaining a deep learning engine framework,
9 is a flowchart illustrating an O2O service providing method according to an embodiment of the present invention.
10 is an example of a diagram for explaining an IPS-based real-time location information generation framework,
11 is an example of a diagram for explaining a motion-based map management framework,
12 to 13 are examples of a diagram for explaining a framework for generating a user location based O2O service information map.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, wherein like reference numerals are used to designate identical or similar elements, and redundant description thereof will be omitted. The suffix " module " and " part " for the components used in the following description are given or mixed in consideration of ease of specification, and do not have their own meaning or role. In the following description of the embodiments of the present invention, a detailed description of related arts will be omitted when it is determined that the gist of the embodiments disclosed herein may be blurred. It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory and are intended to provide further explanation of the invention as claimed. , ≪ / RTI > equivalents, and alternatives.

Terms including ordinals, such as first, second, etc., may be used to describe various elements, but the elements are not limited to these terms. The terms are used only for the purpose of distinguishing one component from another.

It is to be understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, . On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that there are no other elements in between.

The singular expressions include plural expressions unless the context clearly dictates otherwise.

The use of the terms "comprising" or "having" in this application is intended to specify the presence of stated features, integers, steps, operations, elements, parts, or combinations thereof, But do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, parts, or combinations thereof.

Even if there is no corresponding symbol in the specific drawing described in the present application, if there is a corresponding symbol in the previously described drawing, it can be described by indicating it.

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

1, an O2O service system may include a mobile terminal 100, a server 200, and an affiliate terminal 300. [ In this case, the mobile terminal 100 refers to a terminal of a user to receive the O2O service, and the mobile terminal 100 and the franchise terminal 300 may be plural.

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

The server 200 may be implemented in the form of a cloud server, a web server, a WAB server, or the like. Also, it can include a program module (module) which is implemented in various languages such as C, C ++, Java, Visual Basic, and Visual C and performs various functions in software.

The franchisee terminal 300 may refer to a device used by a vendor providing an O2O service. A merchant may mean a store, a store, or a shop or store in an alliance or alliance of any organization. In addition, the merchant may mean a company providing various kinds of products or services, for example, a restaurant, a retailer producing or selling goods, a service providing a variety of services in off-line (for example, a cleaning business, a quick service business, Up, delivery service business, etc.).

2 is a block diagram of a mobile terminal according to an embodiment of the present invention. Hereinafter, the term " mobile terminal " is used, which is synonymous with the user terminal. 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, a controller 180, And a power supply unit 190 and the like. The components shown in FIG. 2 are not essential for implementing a mobile terminal, so that the mobile terminal described herein can have more or fewer components than the components listed above.

More specifically, the wireless communication unit 110 is configured to allow 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 And may include one or more modules. 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 a broadcast receiving module 111, a mobile communication module 112, a wireless Internet module 113, a short distance communication module 114, and a location information module 115.

The input unit 120 includes a camera 121 or an image input unit for inputting a video signal, a microphone 122 or an audio input unit for inputting an audio signal, a user input unit 123 for receiving information from a user, A touch key, a mechanical key, and the like). The voice data or image data collected by the input unit 120 may be analyzed and processed by a user's control command.

The sensing unit 140 may include at least one sensor 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, a touch sensor, an acceleration sensor, a magnetic sensor, a gravity sensor A G-sensor, a gyroscope sensor, a motion sensor, an RGB sensor, an infrared sensor, a finger scan sensor, an ultrasonic sensor, A microphone, a battery gauge, an environmental sensor (e.g., a barometer, a hygrometer, a thermometer, a radiation detection sensor, a heat sensor) A sensor, a gas sensor, etc.), a chemical sensor (e.g., an electronic nose, a healthcare sensor, a biometric sensor, etc.). Meanwhile, the mobile terminal 100 disclosed in the present specification can combine and use information sensed by at least two of the sensors.

The output unit 150 includes at least one of a display unit 151, an acoustic output unit 152, a haptic tip module 153, and a light output unit 154 to generate an output related to visual, auditory, can do. The display unit 151 may have a mutual layer structure with the touch sensor or may be integrally formed to realize a touch screen. The touch screen may function as a user input unit 123 for providing an input interface between the mobile terminal 100 and a user and may provide an output interface between the mobile terminal 100 and a 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 includes 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, a video input / output port, an audio input / output port, a video input / output port, and an earphone port. In the mobile terminal 100, corresponding to the connection of the external device to the interface unit 160, it is possible to 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 running on the mobile terminal 100, data for operation of the mobile terminal 100, and commands. At least some of these applications may be downloaded from the server via wireless communication. Also, at least some of these application programs may exist on the mobile terminal 100 from the time of departure for the basic functions (e.g., call incoming, outgoing, message receiving, and origination functions) of the mobile terminal 100. Meanwhile, the application program may be stored in the memory 170, installed on the mobile terminal 100, and may be operated by the control unit 180 to perform the operation (or function) of the mobile terminal.

In addition to the operations associated with the application program, the control unit 180 typically controls the overall operation of the mobile terminal 100. The control unit 180 may process or process signals, data, information, and the like input or output through the above-mentioned components, or may drive an application program stored in the memory 170 to provide or process appropriate information or functions to the user.

In addition, the controller 180 may control at least some of the components illustrated in FIG. 2 to drive an application program stored in the memory 170. FIG. Further, the control unit 180 may operate at least two or more of the components included in the mobile terminal 100 in combination with each other for driving the application program.

The power supply unit 190 receives external power and internal power under the control of the controller 180 and supplies power to the components included in the mobile terminal 100. The power supply unit 190 may include a battery, and the battery may be an internal battery or a replaceable battery.

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

Hereinafter, the various components of the mobile terminal 100 will be described in detail with reference to FIG.

First, referring to the wireless communication unit 110, the broadcast receiving module 111 of the wireless communication unit 110 receives broadcast signals 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. More than one broadcast receiving module 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 may be a mobile communication module such as a mobile communication module, a mobile communication module, a mobile communication module, a mobile communication module, a mobile communication module, (Wideband CDMA), HSDPA (High Speed Downlink Packet Access), HSUPA (High Speed Uplink Packet Access), LTE (Long Term Evolution), LTE-A (Enhanced Voice-Data Optimized or Enhanced Voice-Data Only) Long Term Evolution-Advanced), and the like, to a base station, an external terminal, and a server.

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

The wireless Internet module 113 is a module for wireless Internet access, and may be built in or externally attached to the mobile terminal 100. The wireless Internet module 113 is configured to transmit and receive a wireless signal in a communication network according to wireless Internet technologies.

Wireless Internet technologies include, for example, WLAN (Wireless LAN), Wi-Fi (Wireless Fidelity), Wi-Fi (Wireless Fidelity) Direct, DLNA (Digital Living Network Alliance), WiBro for example, a wireless Internet module 113, a wireless LAN module 113, a wireless LAN module 113, a wireless LAN module 113, a wireless LAN module 113, Transmits and receives data according to at least one wireless Internet technology, including Internet technologies not listed above.

The wireless Internet module 113 for performing a wireless Internet connection through a mobile communication network, from the viewpoint that wireless Internet access by WiBro, HSDPA, HSUPA, GSM, CDMA, WCDMA, LTE, LTE- And 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) (Near Field Communication), Wi-Fi (Wireless-Fidelity), Wi-Fi Direct, and Wireless USB (Wireless Universal Serial Bus) technology. The short-range communication module 114 is connected to the mobile terminal 100 and the wireless communication system through the wireless area networks, between the mobile terminal 100 and another mobile terminal 100, And can support wireless communication between networks where other mobile terminals 100 (or servers) are located. The short-range wireless communication network may be a short-range wireless personal area network.

Here, the other mobile terminal 100 may be a wearable device (e.g., a smartwatch, a smart smart, etc.) capable of exchanging data with the mobile terminal 100 according to the present invention glass, HMD (head mounted display)). The short range communication module 114 may detect (or recognize) a wearable device capable of communicating with the mobile terminal 100 around the mobile terminal 100. [ Further, when the detected wearable device is a device authenticated to communicate with the mobile terminal 100 according to the present invention, the control unit 180 transmits at least a part of the data processed by the mobile terminal 100 to the near field communication module 114 To the wearable device. Therefore, the user of the wearable device can use the data processed by the mobile terminal 100 through the wearable device. For example, the user can make a phone call through the wearable device when a phone call is received in the mobile terminal 100, or transmit a message received through the wearable device when the message is received in the mobile terminal 100 It is possible to confirm.

The position information module 115 is a module for obtaining the position (or current position) of the mobile terminal, and a representative example thereof is a Global Positioning System (GPS) module or a Wireless Fidelity (WiFi) module. For example, when the mobile terminal utilizes the GPS module, it can acquire the position of the mobile terminal by using a signal transmitted from the GPS satellite. As another example, when the mobile terminal utilizes the Wi-Fi module, the position of the mobile terminal can be acquired based on information of a wireless access point (AP) transmitting or receiving a wireless signal with the Wi-Fi module. The location information module 115 may replace or additionally perform any of the other modules of the wireless communication unit 110 to obtain data regarding the location of the mobile terminal as needed. 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 inputting image information, Or a 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 communication mode or the photographing mode. The processed image frame may be displayed on the display unit 151 or stored in the memory 170. [ The plurality of cameras 121 provided in the mobile terminal 100 may be arranged to have a matrix structure and the mobile terminal 100 may be provided with various angles or foci through the camera 121 having the matrix structure A plurality of pieces of image information can be input. The plurality of cameras 121 may be arranged in a stereo structure to acquire left and right images for realizing a stereoscopic image.

The microphone 122 processes the external acoustic signal into electrical voice data. The processed voice data can be utilized variously according to a function (or a running application program) being executed in the mobile terminal 100. Meanwhile, various noise elimination algorithms may be implemented in the microphone 122 to remove noise generated in receiving an external sound signal.

The user input unit 123 is for receiving information from a user and when the information is inputted through the user input unit 123, the control unit 180 can control the operation of the mobile terminal 100 to correspond to the input information . The user input unit 123 may include a mechanical input unit or a mechanical key such as a button located at the front / rear or side of the mobile terminal 100, a dome switch, a jog wheel, Etc.) and touch-type input means. For example, the touch-type input means may comprise 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 And a touch key. On the other hand, the virtual key or the visual key can be displayed on the touch screen with various forms, for example, graphic, text, icon, video, or a combination thereof Lt; / RTI >

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 corresponding sensing signal. The control unit 180 may control the driving or operation of the mobile terminal 100 or may perform data processing, function or operation related to the 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 of an object approaching a predetermined detection surface or an object existing in the vicinity of the detection surface without mechanical contact using an electromagnetic force or infrared rays. The proximity sensor 141 may be disposed in the vicinity of the inner area of the mobile terminal or the touch screen, which is covered by the touch screen.

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

For the sake of convenience of explanation, the act of recognizing that an object is located on the touch screen while the object is not in contact with the touch screen is referred to as " proximity touch "Quot; contact touch ". The position at which an object is touched on the touch screen means a position at which the object corresponds vertically to the touch screen when the object is touched. The proximity sensor 141 can detect a proximity touch and a proximity touch pattern (for example, proximity touch distance, proximity touch direction, proximity touch speed, proximity touch time, proximity touch position, proximity touch movement state, and the like). Meanwhile, the control unit 180 processes data (or information) corresponding to the proximity touch operation and the proximity touch pattern sensed through the proximity sensor 141 as described above, and further provides visual information corresponding to the processed data to the touch screen Can be output on the display device. Further, the control unit 180 may control the mobile terminal 100 such that different operations or data (or information) are processed depending on whether a touch to the same point on the touch screen is a proximity touch or a contact touch.

The touch sensor uses a touch (or touch input) applied to the touch screen (or the display unit 151) by using at least one of various touch methods such as a resistance film type, a capacitive type, an infrared type, an ultrasonic type, Detection.

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

If 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 transmits the corresponding data to the controller 180. Thus, the control unit 180 can know which area of the display unit 151 is touched or the like. Here, the touch controller may be a separate component from the controller 180, and may be the controller 180 itself.

On the other hand, the control unit 180 may perform different controls or perform the same control according to the type of the touch object, which touches the touch screen (or a touch key provided on the touch screen). Whether to perform different controls or to perform the same control according to the type of the touch object may be determined according to the current state of the mobile terminal 100 or an application program being executed.

On the other hand, the touch sensors and proximity sensors described above can be used independently or in combination to provide short (touch), long (touch), multi touch, drag touch Touches such as flick touch, pinch-in touch, pinch-out touch, swipe touch, hovering touch, Sensing can be performed.

The ultrasonic sensor can recognize the position information of the object to be sensed by using ultrasonic waves. Meanwhile, the controller 180 can calculate the position of the wave generating source through the information sensed by the optical sensor and the plurality of ultrasonic sensors. The position of the wave source can be calculated by using the fact that the light is much faster than the ultrasonic wave, that is, the time when 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 generating source can be calculated using the time difference with the time when the ultrasonic wave reaches the reference signal.

The camera 121 includes at least one of a camera sensor (for example, a CCD, a 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 sense a touch of the sensing object with respect to the three-dimensional stereoscopic image. The photosensor can be laminated to the display element, which is adapted to scan the movement of the object to be detected proximate to the touch screen. More specifically, a photosensor mounts a photo diode and a transistor (TR) in a row / column and scans the contents placed on the photosensor using an electrical signal that changes according to the amount of light applied to the photo diode. That is, the photo sensor performs the coordinate calculation of the object to be sensed according to the amount of change of light, and the position information of the object to be sensed can be obtained through the calculation.

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 by the mobile terminal 100 or UI (User Interface) and GUI (Graphic User Interface) information according to the execution screen information.

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

In the stereoscopic display unit, a three-dimensional display system such as a stereoscopic system (glasses system), an autostereoscopic system (no-glasses system), a projection system (holographic system) can be applied.

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 mode, a call mode or a recording mode, a voice recognition mode, a broadcast reception mode, The sound output unit 152 also outputs sound signals related to functions (e.g., call signal reception sound, message reception sound, and the like) performed by the mobile terminal 100. The audio output unit 152 may include a receiver, a speaker, a buzzer, and the like.

The haptic module 153 generates various tactile effects that the user can feel. A typical example of the haptic effect generated by the haptic module 153 may be vibration. The intensity and pattern of the vibration generated in the haptic module 153 can be controlled by the user's selection or the setting of the control unit. For example, the haptic module 153 may combine and output different vibrations or sequentially output the vibrations.

In addition to the vibration, the haptic module 153 may include a pin arrangement vertically moving with respect to the contact skin surface, a spraying force or suction force of the air through the injection port or the suction port, a scratch on the skin surface, contact of an electrode, And various tactile effects such as an effect of reproducing a cold sensation using an endothermic or exothermic element can be generated. The haptic module 153 can transmit the tactile effect through the direct contact, and the tactile effect can be felt by the user through the muscles of the finger or arm. The haptic module 153 may include two or more haptic modules 153 according to the configuration of the mobile terminal 100.

The light output unit 154 outputs a signal for notifying the occurrence of an event using the light of the light source of the mobile terminal 100. Examples of events that occur in the mobile terminal 100 may include 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 rear surface. The signal output may be terminated by the mobile terminal detecting the event confirmation of the user.

The interface unit 160 serves as a path for communication with all external devices connected to the mobile terminal 100. The interface unit 160 receives data from an external device or supplies power to each component in the mobile terminal 100 or transmits data in 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 having an identification module an audio input / output port, a video I / O port, an earphone port, and the like may be included in the interface unit 160.

Meanwhile, the identification module is a chip for storing various kinds of information for authenticating the usage right of the mobile terminal 100 and includes a user identification module (UIM), a subscriber identity module (SIM) a universal subscriber identity module (USIM), and the like. Devices with identification modules (hereinafter referred to as "identification devices") can be manufactured in a smart card format. Accordingly, the identification device can be connected to the terminal 100 through the interface unit 160. [

The interface unit 160 may be a path through which power from the cradle is supplied to the mobile terminal 100 when the mobile terminal 100 is connected to an external cradle or various command signals input from the cradle And may be a passage to be transmitted to the terminal 100. The various command signals or power from the cradle can be operated as a signal 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 temporarily store input / output data (e.g., a phone book, a message, a still image, a moving picture, etc.). The memory 170 may store data related to vibrations and sounds of various patterns output upon touch input on the touch screen.

The memory 170 may be a flash memory type, a hard disk type, a solid state disk type, an SDD type (Silicon Disk Drive type), 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 memory, a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, and / or an optical disk. The mobile terminal 100 may operate in association with a web storage that performs storage functions of the memory 170 on the Internet.

Meanwhile, as described above, the control unit 180 controls the operation related to the application program and the general operation of the mobile terminal 100. [ For example, when the state of the mobile terminal satisfies a set condition, the controller 180 may execute or release a lock state for restricting input of a user's control command to applications.

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

The power supply unit 190 receives external power and internal power under the control of the controller 180 and supplies power necessary for operation of the respective components. The power supply unit 190 includes a battery, the battery may be an internal battery configured to be chargeable, and may be detachably coupled to the terminal body for charging or the like.

Also, the power supply unit 190 may include a connection port, and the connection port may be configured as an example of an interface 160 through which an external charger for supplying power for charging the battery is electrically connected.

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 may use at least one of an inductive coupling method based on a magnetic induction phenomenon from an external wireless power transmission apparatus and a magnetic resonance coupling method based on an electromagnetic resonance phenomenon, .

In the following, the various embodiments may be embodied in a recording medium readable by a computer or similar device using, for example, software, hardware, or a combination thereof.

3 is a block diagram of various frameworks among 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.

The deep learning-based O2O service information analysis framework includes an integrated cloud service framework, cloudlet server framework, crowd sensing framework, cloud big data management framework, and deep learning engine framework. do. According to the Deep Learning O2O service information analysis framework including such various frameworks, the service utilization information such as the O2O service utilization history which can not be modified or deleted by the vendor is classified and analyzed together with the O2O service information provided by the vendor, A highly reliable service can be provided. Each framework will be described with reference to FIGS. 4 to 8. FIG.

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 various frameworks, a personalized O2O service utilizing activity information, location information, and shared information of an O2O service user can be provided. Each framework will be described with reference to FIG. 8 and subsequent drawings.

4 is an example of a diagram for explaining an integrated cloud service framework. Hereinafter, a description of known technologies will be omitted.

Referring to FIG. 4, a platform as a service (PaaS), which is a platform of a cloud environment, and an infrastructure as a service (IaaS), which is an infrastructure service, operate in conjunction with each other. In order to operate the O2O service platform based on the 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 can be used as shown in FIG. That is, data with a high access frequency can be stored in the cache memory.

Accordingly, since data of the user terminal, the O2O service platform, and the cloud server can be stored in the cache memory, it is possible to reduce an overload occurring when accessing frequently requested or provided data, and to maintain a service support speed .

5 is an example of a diagram for explaining a cloudlet server framework. Hereinafter, a description of known technologies will be omitted.

The user or the service experiencer can request the knowledge information through the mobile terminal. For example, the user can request the service through the mobile terminal to receive the O2O service, and the O2O service information corresponding to the request can be displayed through the mobile terminal.

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

Here, the clone application VM can determine whether there is a record that performed the same request by querying the previously processed data. If there is a record in which the received service request data is processed, the clone application VM can transmit the same data recorded in the clone application VM to the user terminal. Accordingly, when there is a duplicated service request through the user terminal, the requested service is provided from the cloudlet server, so that the overhead of the backend server is prevented and the feedback rate for the duplicated service request is increased.

However, if the received service request data is not processed, the service request data is transmitted to the backend server in the cloud server, and the result data corresponding to the service request is extracted from the backend server. May be transmitted to the user terminal through the server, or may be transmitted to the user terminal without going through the cloudlet server.

6 is an example of a diagram for explaining a crowd sensing framework. Hereinafter, a description of known technologies will be omitted.

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

According to the present invention, movement and direction signals of a user are measured through various sensors included in a 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, . In addition, environmental information and road information of the area where the mobile terminal is located can be grasped by various external sensors and cameras in the area. Various signals and information collected in this manner are transmitted to the server, and the server can 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 related to the image of the area included in the mobile terminal or the area of the area photographed by the camera of the corresponding area, specifically, the area where the user is located, the area where the service is provided, Data. The text data is data of a text format inputted by the user through the mobile terminal, and specifically refers to text relating to a comment such as an area where the user is located, an area where the service is provided, do. The sensing data may mean the remainder of the various data except for the image data and the text data.

Accordingly, the user who has been provided with the service, that is, the experient can transmit information related to the provided service in various data formats to the server through the mobile terminal, and the server can store the transmitted data.

Meanwhile, when the sensing data is transmitted to and stored in the cloud server, the various data described above can be filtered. For example, the user terminal changes the original data to filtered data through at least one Notch filter, a band pass filter (BPF), a low pass filter (LPF), and a high pass filter (HPF) Lt; / RTI >

Therefore, the information related to the service provided by the experiencer can be stored in the server as the filtered information after the filtering process.

7 is an example of a diagram for explaining a cloud big data management framework. Hereinafter, a description of known technologies will be omitted.

First, Hbase is a distributed column-based database that converts the real-time O2O service area big data delivered by the field server to the cloud environment into a row 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 the client through HMaster, and creates, modifies and deletes the HTable to store the collected data in the storage unit. The HRegion Server manages a plurality of HRegion and temporarily stores the data of the HTable in the storage unit. The plurality of HRegion servers each include a plurality of storage units, wherein the data temporarily stored in the storage unit is stored in the disk when the storage unit is full, and the temporary file is deleted. HLog which exists in each HRegion stores the connection record of HRegion to prevent loss of contents stored in the storage unit. The data stored in the Hbase is distributed and stored in the HDFS (Hadoop Distributed File System), and the distributed data is extracted, transmitted and processed by the Hadoop system through Map, Sort and Reduce processes.

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

Meanwhile, the Big Data Management Framework's PFHS (page fault handler) performs priority scheduling and filtering to reduce bottlenecks generated during map processing and reduction. In order to solve the disadvantage that the merge operation is performed in the redistribution module even though the merging process is not specifically required, a method of generating a map filter that engages only the data necessary for merge in the redesing operation will be described.

First, the map reduction application checks the information on the job to be performed through the job client and the job tracker, performs job initialization, allocates the tasks in the order of the task trackers located nearest to the network, Build. The job tracker that has been assigned the task by the initial scheduling acquires the information of the divided files from the HDFS, and assigns Map, Sort and Reduce tasks to each Task Tracker. Here, Task Tracker calculates the performance of Task Tracker by exchanging Heart Beat between Job Tracker and Task Tracker to eliminate work delay and bottleneck in Map, Sort, Reduce process, and assign Task Tracker Schedules the priority. In addition, when the task tracker performs a sort operation, it schedules the key priority in order to reduce the waiting phenomenon of the task tracker to perform the reduction task.

On the other hand, Task Trackers that have been assigned a Map task from Job Tracker generate map filters through their Task. Specifically, after obtaining the actual partition data in the first partition from the HDFS, an intermediate result classified by Key, index, and Value is generated using the map function to collect map filter data. The key and index are extracted from the intermediate result using the map function, and the Bloom Filter is created using k hash functions. In this case, the process of sharing Bloom Filter data through communication protocol between Task Tracker and each Task can be established. Also, we extract the Bloom Filter with high error rate by using the false positive rate calculated by Bloom Filter. Therefore, by comparing and analyzing the collected data by applying the hash function using the map filter and the Bloom Filter data within the filter, a map module including the map filtering function transmitted to the buffer or the sort module can be generated.

Therefore, in processing service information big data collected by the crowd sensing framework, since priority scheduling and map filtering are used, it is possible to manage big data efficiently by eliminating work delay and bottleneck.

8 is an example of a diagram for explaining a deep learning engine framework. Hereinafter, a description of known technologies will be omitted.

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

In this case, the Deep Learning Engine framework analyzes the collected image data by CNN (Convolutional Neural Network) and analyzes the service usage status of the experient. In addition, the Deep Learning Engine framework analyzes the received text data by Long Shot Term Memory (LSTM), which is a Recurrent Neural Network (RNN), and analyzes the service satisfaction of the experient and the service usage status. By this method, it is possible to analyze the image data and the text data, which are the data of the experiencer received from the cloud big data management framework.

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

Referring to FIG. 9, the current position of the user is determined (S910). Specifically, the positioning data by various positioning sensors or positioning modules of the user terminal is transmitted to the server. However, if the size of the position signal through the positioning sensor or the positioning module is less than the predetermined value or the position signal is not received within the predetermined time, the current position of the user can be determined by any one of Wi-Fi or CDMA. This will be described in detail in FIG.

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

In this case, the server can pre-store various types of information such as walking, bus, taxi, car, train, train, bicycle and the like. Accordingly, the server compares the pre-stored movement type information with the movement information of the extracted user, and determines the movement type corresponding to the movement type information that is most similar to the extracted movement information of the user as the movement type of the user (S930) . This will be described in detail in Fig.

Thereafter, the server transmits a task map indicating information about the O2O service on the map to the user terminal so as to correspond to the current location and the movement type of the user (S940), and the mobile terminal displays the received task map (S950). This will be described in detail in FIG. 12 to FIG.

10 is an example of a diagram for explaining an IPS-based real-time location information generation framework. Hereinafter, a description of known technologies will be omitted.

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

However, since the area B may be an area where reception of GPS signals is not smooth, such as indoor, in-vehicle, in-flight, underground, etc., positioning information of a user located in area B can not be generated properly. Therefore, if the GPS signal strength is less than a preset value or if the GPS signal does not arrive within a predetermined time, the mobile terminal can switch the positioning information reception mode using GPS to the external signal reception mode. The external signal receiving mode may mean measuring the current position of the mobile terminal using Wi-Fi or CDMA.

In this case, the positioning-selected wireless network can be selected in consideration of the signal strength of Wi-Fi and CDMA. For example, if three or more signals are continuously received from a network having a relatively high signal strength among Wi-Fi and CDMA, the 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 to be used for positioning. Because CDMA has a measurement signal of several hundred meters or more, Wi-Fi is 100 to 200 meters, so it is preferable to prioritize a Wi-Fi signal that carries radio signals in close proximity. Therefore, a positioning algorithm based on a Global Indoor Positioning System (GIPS) can be applied using signals of a wireless network selected by the above method, and detailed GIPS-based positioning algorithms are well known and will not be described in detail .

Meanwhile, in order to improve the positioning accuracy, the cloud server can correct position information using a speed based back off algorithm. First, a temporary buffer for applying the backoff algorithm is set, and data is recorded in the following table format.

Req Time Ack Time Sync Time Back off Average vehicle speed

The Req Time field can determine the travel time during the delay time caused by the retransmission of the signal and can correct the current location information proportional to the travel time and the average speed using the value of the user's moving average speed field. If the field value is null, the transmission time of the Req message is recorded, and the Req frame is transmitted. If a collision occurs on the network as a result of inquiring about the collision of the Req frame, the value of the Req Time field is updated to the time difference between the arrival time of the re-transmitted Req frame and the existing Req Time value. The Ack Time field and the Sync Time field are also the same as the Req Time field.

The backoff algorithm based on the moving speed is as follows. It is assumed that the user is moving 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 generation time of the request message is recorded in the buffer to the infrastructure transmitting the wireless communication signal information with the user terminal, and then the request message is transmitted. Then, it waits until the Ack Message for the Request Message is returned from Infrastructure for the preset time. If an Ack message does not arrive for a predetermined time, or if a collision occurs on the network, the terminal retransmits the Request message and updates the Req Time field recorded in the buffer as shown in equation (1).

Req_time = Req_rfta - Req_mtt ... (1)

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

Req_pec = Req_time α Average vehicle speed ┒ ... (2)

Req_cp = Average (Req_pec, Req_rps) ┛

Therefore, the positioning information is updated to the corrected error position, and the Time field and the Average vehicle speed field in which the collision occurs are initialized to Null. The Ack and Sync messages are the same.

Therefore, GPS, WiFi, or CDMA can be used to perform positioning based on GIPS based on radio signal strength, and backoff algorithm to record the network collision speed of the positioning system. have. In this way, the user location information generated by 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 explaining a motion-based map management framework. Hereinafter, a description of known technologies will be omitted.

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

As shown in FIG. 11, movement type information according to the movement period of the user, that is, the movement speed per unit time, is generated. In this case, movement type information corresponding to each of a walking, an automobile, a bus, a subway, a train, a bicycle, a motorcycle, an airplane, etc. may be stored in advance in the mobile terminal or the server. Therefore, the movement type of the user can be inferred by applying the movement type information of the user to the previously stored movement data. That is, it is possible to compare the change in the movement speed per user's movement time with the previously stored plurality of movement type information, and determine the movement type corresponding to the change in the movement speed most similar to the change in the movement speed of the user as the movement type.

On the other hand, 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 area where the user is located. Therefore, it is possible to provide an O2O service information map service which is seamless in real time movement by utilizing the navigation map open source.

On the other hand, the updated O2O service information map information in the motion based map management framework corresponding to the movement of the user is transmitted to the user location based O2O information map generation framework.

12 to 13 are examples of a diagram for explaining a framework for generating a user location based O2O service information map. Hereinafter, a process of generating the O2O service information map based on the user location will be described, and a description of known technologies will be omitted.

First, a method for generating a sub-task map and generating an upper task map by combining or combining the plurality of generated sub-task maps will be described below. The user can request the O2O service provision through the mobile terminal. Upon receiving the request, the mobile terminal requests a task for providing the O2O service to the server. If there is a task request from the mobile terminal, a sub-task map is generated by using a space element, time, spatial query, compensation, and the like, which are basic components of on-line knowledge map.

Here, the setting of the space area means setting the area range or the space range of the position based task by defining the coordinate range of the map, selecting the administrative area, or setting the POI list. Therefore, when the regional range of the task is set by setting the space area, a sub-task map including the O2O service information within the set range is generated.

In this case, the mobile terminal or the server forms a form of the location-based report, and the created report form is stored in the server in the JSON format. Therefore, the server refers to the stored JSON data and generates a location-based report on the sub-task map to be performed by the participant. In this case, the detailed format of the JSON data consists of the required attributes, such as ID, title, etc., according to the generated input form. The location-based report is composed of the location of the participant (ie O2O service requestor or O2O service person) Contains the contents of the O2O service that is provided. Accordingly, the generated sub-task map may include contents related to the location-based report of the participant who has already provided the service, so that the user can search for the service to be provided through the sub-task map provided to the mobile terminal.

For example, as shown in FIG. 12, if a user located in the area A receives the O2O service, contents, images, and reviews of the received service are transmitted to the server together with the sub-task map provided to the corresponding user terminal . The same is true for users located in area B and users located in area C. If there are a plurality of participants who have received the O2O service within the corresponding area, a plurality of sub-task maps can be generated and stored in the server, and a plurality of location-based reports can be generated and stored. However, if the O2O service has not been provided within the local scope, the generated sub-task map does not include the location-based report, and the location-based report of the first O2O service recipient .

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

Hereinafter, a method for requesting a sub-task map by a user will be described.

The sub-task map is created based on the upper task map generated in the manner described above. That is, referring to the location-based task report generated by the task request, the upper task map is divided into the sub-task map, and the divided task map is provided to a plurality of users. For example, as shown in FIG. 13, in a state where an upper task map is stored in the server, a user located in area A may request to provide an O2O service. In this case, the server can provide the O2O service by detecting the location of the user according to the above-described method, and then dividing the sub-task map related to the A region of the upper task map from the upper task map and transmitting it to the corresponding mobile terminal.

The division of the upper task map into the 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 sub-task map is generated for each POI. If the spatial area is the administrative area or the map coordinate range, the sub-task map is generated by dividing the grid area by considering the number of participants.

After the O2O service is provided through the provided sub-task map, the corresponding user is transferred to the server together with the usage information related to the received service, that is, the service content, the video, the review, etc., together with the sub-task map provided to the user terminal. Accordingly, the subtask map is updated due to the addition of new contents, and the server can 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 analysis map in the form of a map, to provide. Also, at the stage of spreading knowledge on the space, a story map is generated by adding additional images, videos, and other media data and user's interpretations and opinions to a plurality of report maps and analysis maps generated in the previous collection and analysis steps.

Therefore, by modeling the data and the user location information collected by the crowd sensing framework as map-based information, generating a map according to the current location, and providing the service provider list and the additional service list of the manufacturer to the user terminal, Can be achieved.

The present invention described above can be embodied as computer readable codes on a medium on which a program is recorded. A computer readable medium includes any type of recording device in which data that can be read by a computer system is stored. Examples of the computer readable medium include a hard disk drive (HDD), a solid state disk (SSD), a silicon disk drive (SDD), a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, And may also be implemented in the form of a carrier wave (e.g., transmission over the Internet). The computer may also include a controller 180 of the terminal. The foregoing detailed description, therefore, should not be construed in a limiting sense in all respects and should be considered illustrative. The scope of the present invention should be determined by rational interpretation of the appended claims, and all changes within the scope of equivalents of the present invention are included in the scope of the present invention.

100: mobile terminal 110: wireless communication unit
120: AV input unit 130: user input unit
140: sensing unit 150: output unit
160: interface unit 170: memory
180: control unit 190: power supply unit

Claims (12)

A method of extracting an O2O service according to a location of a user from a cloud server and providing the O2O service through a user terminal,
The cloud server determining a current location of the user by a selected one of a plurality of wireless networks;
Extracting movement information of the user based on data received from the user terminal and comparing the plurality of previously stored movement type information with the extracted movement information to determine the movement type of the user;
Transmitting to the user terminal a task map in which information on the O2O service is displayed on the map so as to correspond to the determined current position and movement type; And
And displaying the transmitted task map through the user terminal. The method according to claim 1,
The step of determining the current position
Receiving a position signal through a GPS module included in the user terminal;
The strength of the signal received by the user terminal among the Wi-Fi or CDMA included in the plurality of networks is determined based on the strength of the signal received from the user terminal when the size of the received position signal is less than a preset value, Selecting one of the relatively high positioning networks as a positioning network; And
And receiving the signal through the selected positioning network to determine the current position as a GIPS (Global Indoor Positioning System) based algorithm. The method according to claim 1,
The plurality of movement type information
Information on a change in the moving speed per unit time of each of the plurality of moving means,
The step of determining the type of movement
Measuring a change in the movement time and the movement speed of the user;
Comparing the measured change in movement speed per movement time with the previously stored plurality of movement type information; And
And determining a movement type corresponding to a movement speed change similar to the measured movement speed as the movement type. The method of claim 3,
Further comprising updating the map at a different period according to the determined movement type. The method according to claim 1,
Receiving a request for providing the O2O service through a plurality of other user terminals;
Receiving an O2O service providing area selected through the plurality of other user terminals;
Generating a plurality of sub-task maps each representing information about the O2O service on a map corresponding to the selected area; And
Generating one upper task map in which the generated plurality of sub-task maps are combined and storing the created upper task map in a storage unit,
The step of transmitting the task map
Wherein the task map corresponding to the determined current position and movement type is divided from the stored upper task map and transmitted to the user terminal. 6. The method of claim 5,
Receiving usage information on the O2O service of the user 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. 6. The method of claim 5,
The step of receiving each of the O2O service providing areas
Wherein a coordinate range is set, an administrative zone is selected, or a POI (Point Of Interest) list is set. 6. The method of claim 5,
The plurality of sub-task maps
And usage information on the O2O service of the plurality of other users. The method according to claim 1,
Wherein the O2O service data is stored in the cache memory of the cloud server. The method according to claim 1,
Storing data on the O2O service in a cloudlet server; And
Further comprising: extracting data on the O2O service already provided through the user terminal or another user terminal through the cloudlet server. The method according to claim 1,
Storing sensing data, image data, and text data input to the O2O service through another user terminal 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,
Wherein the input image data is analyzed by a Convolutional Neural Network (CNN), and the input text data is analyzed by an RNN (Recurrent Neural Network).

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