KR20070062195A - Apparatus for emergency rescue using user presence information in next generation communication environment and method thereof - Google Patents

Abstract

An emergency rescue device and method using user presence information in the next-generation communication environment are provided to prepare a customized emergency situation reference according to each user presence pattern, determine an emergency situation according to a pattern change, and make a rescue request. A pattern unit(210) collects predetermined user presence information changing over time of a user, and compares it with the first pattern, namely, a learning result, to determine whether it is an emergency situation. A neural network calling unit(240) is connected with a neural network, transfers the user presence information, and receives the first pattern. A storage unit(250) stores the first pattern and provides it when the pattern unit(210) requests it. When the pattern unit(210) determines that it is an emergency situation, an emergency calling unit(220) selects an emergency rescue call target and generates a rescue request. When the emergency situation is determined, an API calling unit(230) calls an interface including terminal availability, call control and user interaction service interfaces which exist in an open gateway and provides it to the emergency calling unit(220).

Description

Apparatus for emergency rescue using user presence information in next generation communication environment and method

FIG. 1 is a diagram illustrating a structure of a network in which an emergency rescue apparatus using user presence information and an open interface used in the method are implemented in a next generation communication environment according to the present invention.

2 is a block diagram illustrating a detailed configuration of an embodiment of an emergency rescue apparatus using user presence information in a next generation communication environment according to the present invention.

3 is a flowchart illustrating a procedure of an emergency rescue method using user presence information in a next generation communication environment.

4 is a flowchart illustrating an exemplary embodiment of an emergency rescue method using user presence information in a next generation communication environment according to the present invention.

5 is a flowchart illustrating another exemplary embodiment of an emergency rescue method using user presence information in a next generation communication environment according to the present invention.

The present invention relates to an emergency rescue apparatus using the user presence information in the next-generation communication environment, and more particularly, to learn the presence information pattern of the user using an open service interface and neural network learning method and is determined to be an emergency An apparatus and a method for providing a service for generating a rescue request when a change of a pattern occurs.

Existing emergency service as an emergency rescue service can call a special number such as 119 or 112 through a terminal that can track the location and has a specific key for the elderly or a child, or to a terminal or management center that has designated its own status. In this way, emergency situations can be handled, or disaster management centers can unilaterally notify of emergency situations.

The emergency rescue service as described above has a problem in that it is possible to notify its own emergency situation only when there is a will of the service subscriber, and standards of individual emergency situations may be different.

The technical problem to be achieved by the present invention is to solve the above problems, to collect the presence information of the user using an open service interface and to learn the pattern through the neural network to determine the emergency criteria according to the pattern change of the user The present invention provides an emergency rescue device using the user presence information in a next-generation communication environment that can be set and automatically request a customized rescue request according to the changed judgment criteria, and a method thereof.

In order to achieve the above technical problem, an emergency rescue apparatus using user presence information in a next-generation communication environment according to the present invention collects predetermined user presence information that changes according to a user's time, and then the presence information is learned. A pattern unit which determines whether an emergency situation is compared with the first pattern which is a result; A neural network caller for transmitting the user presence information by connecting to a neural network and receiving the first pattern; A storage unit which stores the first pattern and provides the on-demand unit on request; An emergency call unit that selects an emergency rescue call target and generates a rescue request if the pattern unit determines an emergency situation; And an API caller that provides an interface to the caller by calling an interface including terminal availability, call control, and a user interaction service interface present in the open gateway when the emergency situation is determined.

In order to achieve the above technical problem, an emergency rescue method using user presence information in a next-generation communication environment according to the present invention is an emergency rescue method using user presence information of an application server connected to an open gateway in a next-generation communication environment. Obtaining presence information; Acquiring and comparing the presence information and a first pattern that is a result of learning by accumulating the presence information of the user; If the comparison result is not an emergency, updating the presence information and storing it as a new criterion; And notifying the emergency situation to a communication medium accessible to the communication medium of the user if it is determined that the emergency situation is determined as a result of the comparison.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. 1 is a diagram showing the structure of an emergency rescue apparatus using user presence information and an open interface used in the method in the next generation communication environment according to the present invention, and FIG. 2 is a next generation communication environment according to the present invention. A block diagram illustrating a detailed configuration of an embodiment of an emergency rescue apparatus using user presence information. 3 is a flowchart illustrating a process of an emergency rescue method using user presence information in a next generation communication environment, and FIG. 4 illustrates a preferred embodiment of the emergency rescue method using user presence information in a next generation communication environment according to the present invention. It is a flow chart showing the process. Lastly, FIG. 5 is a flowchart illustrating another exemplary embodiment of an emergency rescue method using user presence information in a next generation communication environment according to the present invention.

First, referring to FIG. 1, a network in which an open interface is implemented is connected to a mobile communication network 110, a wired network 120, and the Internet 130 to receive an emergency notification and to which terminals have sensors attached to the communication network. The server group 140, the open gateway 150, the application server 160, and the neural network 170 are connected.

The user sensor is a device such as a mobile phone, PDA, RFID tag and reader that can display the presence information such as the user's status, location or preference, and the terminal to receive the emergency notification is voice, text message or multimedia message. It is a terminal such as a wireless telephone, a landline telephone, an Internet phone, a messenger, etc. that can be received.

The open gateway 150 is a gateway that performs the open API requested by the application server 160. In other words, the open gateway 150 provides a standardized API so that service developers can access communication network resources, and performs a function of converting and controlling the API into a protocol of a communication network. It provides interworking (MAP, WIN for synchronous mobile network, CAP for asynchronous mobile network), and internet network interworking function (SIP). The open gateway 150 is connected to the user sensor and the terminal through a communication network to provide a function such as delivering to the application server 160 when a service request occurs, and performs the open API requested by the application server 160. To this end, the open gateway 150 has a plurality of service interfaces, also referred to as Service Capability Functions (SCFs). Table 1 below describes the service interface present in the open gateway 150 and its functions.

Service interface function Call Control Call control definition basic call, multiple call, conference call, multimedia call User Interaction Operation with user, announcement broadcasting, SMS transmission, etc. Mobility Location and status information Terminal Capabilities User terminal capability Data Session Control Data Session Control Management Generic Messaging Mail processing, MMS, VMS Connectivity Management QoS provision management Account Management Subscriber Account Management Charging Charges for Application and Data Use Policy Management Create, change, and manage policy information Presence and Availability Management Digital identity, agent's presence status, entity status and capability information, security management

Each service interface provides a unique service by interworking with a corresponding device among devices constituting a mobile network such as a mobile switching center, an IP server, a charging server, a terminal information server, an SMS server, a location information server, and the like (above 140).

The application server 160 is located at a service layer of a communication network and accommodates an application using an open API. The application server 160 calls an API from the open gateway 150 to provide an emergency service, and receives an API from the open gateway 150. The application server 160 includes service logic for providing neural network interworking and emergency call connection for analyzing the presence pattern of the user. Application server 160 is an emergency rescue device implementation example using the user presence information according to the present invention will be described in detail.

The neural network 170 includes logic for learning a presence pattern collected through the open gateway 150 and delivered to the application server 160 to generate a new presence pattern.

Among the servers or terminals existing in the network as described above with reference to FIG. 1, the emergency rescue apparatus using the user presence information and the server used in the method in the next generation communication environment according to the present invention are mainly a presence server and location information. Server, SMS server and terminal information server. The presence server interacts with the application server 160 by the presence / availability management interface of the open gateway 150. In addition, the location information server and the SMS server interwork with the application server 160 by the mobility and messaging service interface of the open gateway 150, respectively.

2 is a block diagram showing the detailed configuration of a preferred embodiment of the emergency rescue apparatus using the user presence information in the next generation communication environment according to the present invention.

Referring to FIG. 2, the emergency rescue apparatus using user presence information in a next generation communication environment according to the present invention includes a pattern unit 210 and an emergency call unit 220 including a pattern collecting unit 211 and a pattern comparing unit 213. ), The API call unit 230, the neural network call unit 240, and the storage unit 250. The function of each building block is described below.

The pattern collector 211 receives and analyzes the information collected by the user sensor. The user presence information collected by the pattern collector 211 is transmitted to the application server 160 through the API caller 230 and processed into new information through neural network learning.

The pattern comparison unit 213 analyzes the presence information of the user collected from the open gateway 150 to extract the user pattern, and the pattern (represented as the first pattern in the claims) previously stored in the storage unit 250. The extracted pattern is compared to determine whether there is an emergency, and to generate an emergency call.

The storage unit 250 is a database that stores user presence patterns learned through the neural network 170. When the pattern comparison unit 213 requests the pattern information stored in the storage unit 250 to compare the presence patterns, the presence pattern information is provided.

The emergency call unit 230 calls an interface required for notifying that the emergency situation is different when the presence patterns compared by the pattern comparison unit 213 are different. The presence of a police station, 119 or a family terminal to receive an emergency call, the presence / availability management, and call the terminal information service interface to determine whether all the terminals connected to the emergency status.

The neural network calling unit 240 performs neural network learning for updating the presence pattern collected through the open gateway 150 after the comparison of the user presence pattern is completed by the pattern comparing unit 213. The result of learning is delivered to the storage 250 and stored.

When the API caller 230 receives the user presence information, the API caller 230 calls the presence / availability management service interface existing in the open gateway 150. In addition, even when the emergency rescue apparatus according to the present invention attempts to connect to notify the police, 119 and family of the emergency, the API call unit 230 calls the user interaction, SMS, MMS service interface.

Although not shown elsewhere, it is preferable to include a control unit for controlling each component of FIG. 2. It is preferable that an operating program is installed in this control part.

Referring now to Figure 3 looks at the emergency rescue method using the user presence information in the next generation communication environment according to the present invention. First, user presence information transmitted from a user sensor is obtained from an open gateway (S310). The presence information collected in this way is learned through neural networks and returned to a standardized pattern. This pattern is represented by the first pattern in the claims. The user presence information collected in the state of storing the learned pattern is compared with the first pattern to determine whether it is normal or abnormal or emergency (S320). That is, it is determined whether it is an emergency (S330). If it is determined as an emergency, a process of accessing after arranging all communication media that can be connected to a user is performed (S340). However, in the normal situation, the collected user presence information is sent to the neural network to perform a learning, and is returned to the new pattern and then stored (S350).

Now, a more specific flow will be described with reference to FIGS. 3 and 4. 3 is a flowchart illustrating a process of an emergency rescue method using user presence information in a next generation communication environment, and FIG. 4 is a flowchart of a preferred embodiment of the emergency rescue method using user presence information in a next generation communication environment according to the present invention. It is a flow chart showing. Lastly, FIG. 5 is a flowchart illustrating another exemplary embodiment of an emergency rescue method using user presence information in a next generation communication environment according to the present invention. The embodiment shown in FIG. 4 is a case where a pattern change that may be judged as an emergency does not occur.

Referring to FIG. 4, the application server 160 registers a user state notification to notify the open gateway 150 of occurrence of a user state change event upon receiving user presence information from the user sensor 110 (startPresenceNotification) (S400). ). If the change in the presence information of the user through the user sensor 110 is transmitted to the open gateway 150 (S410), the open gateway 150 notifies the application server 150 of the user's status change (statusChanged). (S420).

The user state information received by the application server 150 is compared with the presence pattern information which is already stored (S430), and when the comparison result is determined to be the same value, the newly received user state information is transmitted to the neural network 170 (S440). ). The neural network 170 performs the learning by mixing the user state information received according to the internal algorithm with the existing state information (S450) and returns the learned result to the application server 160 (S460). The returned new presence pattern information is stored in the storage 250 inside the application server 150 (S470).

5 illustrates an execution process when the emergency rescue apparatus using the user presence information in the next generation communication environment according to the present invention has changed a pattern for judging the user's state as an emergency.

Referring to FIG. 5, the user state notification registration interface call (S500), the user presence information transfer (S505), and the user state change notification (S510) are performed during the process performed between the application server 160 and the user sensor 110. As it is the same as the case where it is not judged as the emergency situation of 4, the description is omitted.

Next, the user state information received by the application server 160 is compared with the presence pattern information that is already stored (S515) and when the comparison result is determined to be a different pattern, it is recognized as an emergency situation. In order to perform the rescue request, the application server 160 calls the terminal availability interface for determining whether the terminal to receive the rescue request message is available to the open gateway 150 (GetStatus) (S520). Upon receiving the terminal availability interface call, the open gateway 150 requests the information inquiry of the connectable terminal (S525), and receives an inquiry result about the terminal state (S530).

The open gateway 150 which has returned the status of the terminal from the terminal information server 140 returns the terminal availability inquiry result to the application server 160 (S535), and the terminal capable of making a call connection with the inquiry result and the terminal of the user in an emergency situation. Call control interface for connecting the call (MakeCall) (S540).

The open gateway 150 receiving the call control interface call requests a call connection between the user terminal and the terminal whose preset and terminal availability is confirmed, such as 119, a police officer, a family (more than 510) (S545, S550). The application server 160 calling the call control interface (S540) transmits a call connection confirmation request for the call connection confirmation to the open gateway 150 (GetCallInformation) (S555). If the call is not connected, the call is returned from the open gateway 150 (S560). When the application server 160 receives a call disconnection response (S560), the user interaction interface is called to notify the emergency situation by means of announcement, SMS, MMS, etc. to the terminal 510 of the police and family. (PlayAudioMessage) (S565). The open gateway 150 receiving the user interaction interface calls the emergency occurrence announcement and SMS, MMS 119, the police, and the family terminal (S570). Then, the neural network performs learning using the user state information S575 transmitted to the neural network (S580), and returns the result to the application server 160 (S585). The storage unit 250 stores the presence pattern information updated through this learning (S590).

In addition, as an open interface between the application server 160 and the open gateway 150, typically, a Parlay / OSA API or a Parlay X API is used. In FIGS. 4 and 5, the interface indicated by the solid line between the application server 160 and the open gateway 150 is a Parlay X API. On the other hand, the open gateway 150 and the network between the network can be interlocked with a variety of protocols provided by the network provider, typically, the interface with the wired network INAP, the mobile network with the interface MAP, WIN, the Internet interface with the SIP It is available.

The emergency rescue method using the user presence information in the next generation communication environment according to the present invention may also be embodied as computer readable codes on a computer readable recording medium. The computer-readable recording medium includes all kinds of recording devices in which data that can be read by a computer system is stored. Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, hard disk, floppy disk, flash memory, optical data storage device, and also carrier wave (e.g. transmission over the Internet). It is also included to be implemented in the form of. The computer readable recording medium can also be distributed over computer systems connected over a computer network so that the computer readable code is stored and executed in a distributed fashion. Also, the font ROM data structure according to the present invention can be read by a computer on a recording medium such as a computer readable ROM, RAM, CD-ROM, magnetic tape, hard disk, floppy disk, flash memory, optical data storage device, and the like. It can be implemented as code.

As described above, the present invention has been described based on the preferred embodiments, but these embodiments are intended to illustrate the present invention, not to limit the present invention, and those skilled in the art to which the present invention pertains should be practiced without departing from the technical spirit of the present invention. It will be apparent that various changes, modifications, or adjustments to the examples are possible. Therefore, the protection scope of the present invention will be limited only by the appended claims, and should be construed as including all such changes, modifications or adjustments.

As described above, according to the emergency rescue apparatus and the method using the user presence information in the next-generation communication environment according to the present invention, the user's presence information is collected using an open gateway which is a core technology of the wired / wireless integrated network, and a pattern is generated through a neural network. Learn and prepare personalized emergency criteria according to the user's presence pattern to determine the emergency situation according to the user's pattern changes, and to perform rescue requests.

In addition, the emergency information can be provided through the terminal information server that can be connected to rescue agencies and family devices that can be connected in the event of an emergency, and can provide a quick and reliable emergency notification environment. It can also improve your ability to cope with voluntary emergencies, such as children and the elderly.

Claims (9)

A pattern unit which collects predetermined user presence information that changes according to a user's time, and determines whether an emergency situation is compared with a first pattern that is a result of learning the presence information; A neural network caller for transmitting the user presence information by connecting to a neural network and receiving the first pattern; A storage unit which stores the first pattern and provides the on-demand unit on request; An emergency call unit that selects an emergency rescue call target and generates a rescue request if the pattern unit determines an emergency situation; And And an API call unit which calls an interface including a terminal availability, a call control, and a user interaction service interface present in the open gateway to the caller when the emergency situation is determined. Emergency rescue device using genus information. The method of claim 1, wherein the pattern portion A pattern collector configured to access an open gateway and collect presence information of the user; And And a pattern comparison unit comparing the collected presence information with the first pattern to determine whether there is more than one of the collected presence information. According to claim 1, wherein the emergency call unit Next-generation communication environment, characterized in that by calling the terminal availability service interface existing on the open gate through the API call unit requesting information of the communication medium that can be connected in the emergency situation and notifies the emergency situation according to the result Emergency rescue device using presence information According to claim 3, The emergency call unit In the next-generation communication environment, presence information is used in a next-generation communication environment, in which a three-way call with a communication medium having representativeness is attempted first, and if that fails, the user interaction service interface is called to notify all the communication media that can be connected. Emergency rescue device. The emergency rescue apparatus of claim 1, wherein the emergency rescue apparatus uses the presence information. And the neural network outputting a result of learning the user's presence information in the first pattern by applying a predetermined neural network algorithm. In the emergency rescue method using the user presence information of the application server connected to the open gateway in the next-generation communication environment, (a) obtaining user presence information; (b) acquiring and comparing the presence information and a first pattern which is a result of learning accumulated and presence information of the user; (c) if the comparison result is not an emergency, updating the presence information and storing it as a new criterion; And and (d) notifying the emergency situation to a communication medium accessible to the communication medium of the user when it is determined that the emergency situation is a result of the comparison. The emergency rescue method using the presence information in the next generation communication environment. The method of claim 6, wherein step (a) The emergency rescue method using the presence information in the next generation communication environment, characterized in that for receiving the user presence information obtained by the open gateway from the sensor of the communication medium that the user contacts through the open interface. The method of claim 6, wherein step (c) And transmitting the user state information to the neural network and receiving a learning result of the neural network as the first pattern. The emergency rescue method using the presence information in a next-generation communication environment. The method of claim 6, wherein step (d) (d1) calling a terminal availability interface to obtain a terminal information inquiry that can be connected in an emergency; (d2) calling the call control interface; (d3) requesting a call connection to a communication medium of the user and the connectable communication medium; (d4) if the call connection fails, calling the user interaction interface and transmitting an emergency occurrence announcement or text information to the accessible communication medium; And and (d5) transmitting user state information to the neural network, receiving a learning result of the neural network, and storing the neural network learning result as the first pattern.

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