KR20190065122A - Method and apparatus for providing real-time collaboration service using sharing of object intelligence - Google Patents

Abstract

Disclosed are a method and an apparatus for providing a real-time collaboration service through object intelligence sharing. The method for providing a real-time collaboration service through object intelligence sharing comprises the steps of: obtaining raw data sensing a surrounding physical space from at least one IoT device; inferring state information on the physical space by referring to a rule stored in a rule storage to analyze the raw data; generating a state information event in accordance with the inferred state information; and transmitting the generated state information event to an event topic.

Description

TECHNICAL FIELD [0001] The present invention relates to a method and apparatus for real-

The present invention relates to a method and apparatus for providing a real-time collaboration service through object intelligence sharing, and more particularly, to an intelligent IoT (Internet of Things) -based platform in which individual objects have individual intelligence, So as to provide services in real time according to the user's current physical space situation.

Recently, as the wireless communication technology advances, IoT (Internet of Things) technology, which connects sensors and communication functions to various objects, is attracting attention. IoT technology enables Internet connected objects to analyze and provide data to the user while exchanging data, or to remotely control the user.

The application fields of this IoT technology are also being studied in a lot of ways, including smart home, smart factory, and smart farm. Here, smart home is a private house that supports automation. Wi-Fi is mainly used for remote monitoring and control in home automation.

Such a home automation system is generally constituted by connecting a switch and a sensor to a central hub called a gateway, which is controlled by a user interface. The X10, Ethernet, Bluetooth LE, ZigBee, etc., Is used.

Meanwhile, existing smart home, smart factory, etc. collect data received from individual IoT devices and individually control IoT devices based on the collected data.

However, since the conventional control method does not have the individual intelligence, it is difficult to recognize and respond to the situation of the space where the IoT device is installed as meaningful information. In addition, there is a problem in that it is difficult to collaborate with each other for a common goal of space control because IoT devices can not share intelligence with each other.

In order to solve the above problems, an object of the present invention is to provide a method for providing a real-time collaboration service through object intelligence sharing.

It is another object of the present invention to provide a real-time collaborative service providing apparatus through object intelligence sharing.

In order to achieve the above object, the present invention provides a real-time collaborative service which is implemented in a device that provides a real-time collaboration service through object intelligence sharing by interfacing with one or more IoT devices by mounting a device model modeling an IoT (Internet of Things) And provides a service providing method.

Wherein the real-time collaborative service providing method includes the steps of acquiring raw data obtained by sensing at least one IoT device from a peripheral physical space, analyzing the raw data with reference to a rule stored in the rule repository, Generating a state information event based on the reasoned state information, and delivering the generated state information event to the event topic.

The step of acquiring raw data may include interfacing with the at least one IoT device using an API according to the oneM2M standard platform.

The event topic may be a software module that subscribes to the status information event and delivers it to a device model for other IoT devices.

The event topic may monitor an intelligent shared space formed by collecting a plurality of status information events from a device model for a plurality of IoT devices.

The method of providing real-time collaborative service includes receiving an event stream for a status information event from the event topic, analyzing the received event stream by referring to a rule stored in the rule repository, and generating a new status information event .

Here, the method may further include determining whether to control the physical space based on the new state information event when the device model is generated by modeling the actuator model.

Here, the method may further include a step of calculating a control value for the physical space according to the new status information event when it is determined to control the physical space.

Here, the real-time collaborative service providing method may further include changing a state of the physical space by performing physical control on the IoT device interlocked with the device model using the calculated control value.

Here, the method may further include transmitting the new state information event to the event topic when the device model is generated by modeling the composite apparatus in which the functions of the actuator and the sensor are performed in a complex manner can do.

The device model may interact with the at least one IoT device using a SLICE standard interface.

According to another aspect of the present invention, there is provided a device for providing a real-time collaboration service through object intelligence sharing by interfacing with one or more IoT devices by mounting a device model modeling an IoT (Internet of Things) device do.

Here, an apparatus for providing a real-time collaboration service through object intelligence sharing includes at least one processor and a memory (not shown) for storing instructions instructing the at least one processor to perform at least one step memory.

Wherein the at least one step comprises: acquiring raw data obtained by sensing at least one IoT device from a peripheral physical space; analyzing the raw data with reference to a rule stored in a rule repository, Inferring information, generating a status information event according to the reasoned status information, and conveying the generated status information event to the event topic.

The step of acquiring raw data may include interfacing with the at least one IoT device using an API according to the oneM2M standard platform.

The event topic may be a software module that subscribes to the status information event and delivers it to a device model for other IoT devices.

The event topic may monitor an intelligent shared space formed by collecting a plurality of status information events from a device model for a plurality of IoT devices.

The at least one step further includes analyzing the received event stream with reference to rules stored in the rule repository and generating a new status information event upon receipt of the event stream for the status information event from the event topic can do.

The at least one step may further include determining whether to control the physical space based on the new state information event when the device model is generated by modeling the actuator.

The at least one step may further include, when it is determined to control the physical space, calculating a control value for the physical space according to the new state information event.

The at least one step may further include modifying the state of the physical space by performing physical control on the IoT device interlocked with the device model using the calculated control value.

The at least one step may further include delivering the new state information event to the event topic if the device model is generated by modeling for a composite device in which the functions of the actuator and the sensor are performed in a complex manner .

The device model may interact with the at least one IoT device using a SLICE standard interface.

When the method and apparatus for providing real-time collaborative service through object intelligence sharing according to the present invention as described above, a plurality of IoT devices existing in a given physical space have individual intelligences and combine their intelligences to achieve a common goal So that it can play a larger role than the operation of an individual object.

In addition, since the individual objects are gathered to form a common intelligent space and the roles to be performed by the individual objects are finely allocated from the intelligent space, there is an advantage of being able to operate optimally in the real-time physical space.

FIG. 1 is a conceptual diagram of an entire system to which an apparatus for providing a real-time collaboration service through object intelligence sharing according to an embodiment of the present invention is applied.
2 is a conceptual diagram illustrating a car seat control scenario to which an apparatus for providing a real-time collaboration service through object intelligence sharing according to an embodiment of the present invention can be applied.
3 is a general schematic diagram illustrating a real-time collaboration service according to a car seat control scenario.
4 is a conceptual diagram illustrating an operation performed by a sensor in a real-time collaboration service.
5 is a conceptual diagram showing an operation performed in an actuator in a real-time collaboration service.
FIG. 6 is a conceptual diagram illustrating operations performed in a hybrid apparatus in a real-time collaboration service.
FIG. 7 is a conceptual diagram illustrating a software component of a device model for an IoT device according to a real-time collaboration service according to a layer.

While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It should be understood, however, that the invention is not intended to be limited to the particular embodiments, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention. Like reference numerals are used for like elements in describing each drawing.

The terms first, second, A, B, etc. may be used to describe various elements, but the elements should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component. And / or < / RTI > includes any combination of a plurality of related listed items or any of a plurality of related listed items.

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 terminology used in this application is used only to describe a specific embodiment and is not intended to limit the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In the present application, the terms "comprises" or "having" and the like are used to specify that there is a feature, a number, a step, an operation, an element, a component or a combination thereof described in the specification, But do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the contextual meaning of the related art and are to be interpreted as either ideal or overly formal in the sense of the present application Do not.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a conceptual diagram of an entire system to which an apparatus for providing a real-time collaboration service through object intelligence sharing according to an embodiment of the present invention is applied.

Referring to FIG. 1, an apparatus 10 for providing a real-time collaboration service through object intelligence sharing according to an embodiment of the present invention includes a plurality of IoT devices 11 and 12 disposed in a given physical space, By collaborating with each other for a common goal defined by spatial intelligence, it is possible to provide services tailored to the user's situation.

Here, the IoT devices may include various sensors (sensors) 11 for sensing spatial information about the arranged space, and an actuator 12 for controlling the environment of the arranged space. Specifically, for example, the sensor 11 may include a temperature sensor, a humidity sensor, a soil sensor, a watt-hour meter, and the like. In addition, the actuator 12 may include an air conditioner, a light source, a humidifier, a sprinkler, a washing machine, a boiler, a water dispenser, and the like.

The sensor 11 disposed in the physical space may primarily analyze the sensed data to generate a determined event, and the generated event may be delivered to the real-time collaboration service providing apparatus 10. [

The real-time collaborative service providing apparatus 10 may collect the received various events to determine the current status information of the physical space, and may transmit the control event to the appropriate actuator 12 based on the determined status information.

The actuator 12 may perform environment control for a given physical space on the basis of an event received from the real-time collaborative service providing apparatus 10. [

2 is a conceptual diagram illustrating a car seat control scenario to which an apparatus for providing a real-time collaboration service through object intelligence sharing according to an embodiment of the present invention can be applied. 3 is a general schematic diagram illustrating a real-time collaboration service according to a car seat control scenario.

As an example to which a real-time collaboration service providing method and apparatus according to an embodiment of the present invention can be applied, a scenario for controlling a car seat in a vehicle can be considered.

2, a car seat in a vehicle is set as a control target, and an IoT device including an ultrasonic sensor 21, a camera 22, and a pressure sensor 23 installed in the interior and the exterior of the vehicle is used, The car seat control can be automatically performed.

That is, the IoT devices such as the ultrasonic sensor 21, the camera 22, and the pressure sensor 23 according to the present invention can be classified into at least one type according to the operation mode. First, there may be a sensor of the first type. Here, the sensor can act as an event suppler. More specifically, the sensor can deduce the state of the physical space based on the raw data, generate a state information event corresponding to the role assigned according to the spatial intelligence (or control target) The generated state information event can be provided to the intelligent shared space.

The second type may be an actuator. Here, the actuator can act as an event consumer. More specifically, the actuator may receive status information events from the intelligent shared space and perform environmental controls on the physical space based on the received status information events.

As the third type, there may be a hybrid device that performs the role of both an actuator and a sensor. Since most IoT devices perform environmental control at the same time as sensing, they may be a composite device. Here, the composite apparatus can receive the status information event from the intelligent shared space, check the status of the physical space, and perform environment control according to the status of the physical space. In addition, it is possible to sense the surrounding environment data according to the environmental control and to generate the status information event and to provide the intelligent shared space by deducing the state of the physical space again through the sensed information.

3, the car interior space is set as a control target space, and car seat control can be performed through cooperation between the ultrasonic sensor 21, the camera 22, and the pressure sensor 23 .

Referring to FIG. 3, the device model 30 for the IoT devices 21 to 23 can be defined first. Here, the device model 30 is classified into various types according to FIG. 2 for each individual IoT device, and can be implemented as software logic for performing event generation, event analysis, analysis and inference of sensing data for each classified type. In addition, the device model 30 may be mounted on an individual IoT device or may be mounted on the real-time collaboration service provision apparatus 10 according to FIG.

Specifically, the object detector 24, which is one of the device models 30, is mounted on the ultrasonic sensor 21 or interlocks with the ultrasonic sensor 21 to detect a distance to an object (for example, a person) Through inference based on the sensed information, an ObjectDetected event can be generated indicating that the object is in close proximity. The generated ObjectDetected event is transmitted to the event topic (car / object_detected) of the intelligent shared space 27. The object intelligence specification for the object detector 24 may be implemented as the following pseudo code.

Referring to Table 1, when a distance is less than 3.0 as a rule relating to an object detection notification, a code for transmitting an ObjectDetected event through the channel "object_detected & .

Body detector 25 as one of the device models 30 receives an ObjectDetected event from an event topic car / object_detected in the intelligent shared space 27, the full- It is possible to capture and analyze a whole body image of a person and to obtain body length information (BodyPartlength) sensed from the camera 22 in cooperation with the camera 22. [ In addition, the full-body detector 25 generates a FullbodyDetected event indicating that the whole body of the person has been detected based on the received body length information, and transmits the generated whole body detection event to the event topic (car.full_body_detected) . Here, the numerical code defining the object intelligence specification for the full-body detector 25 is shown in Table 2 below.

Referring to Table 2, it can be determined that the whole body detection is started when the distance according to the object detection event (ObjectDetected) is less than 2.0, as a rule regarding Initiate the Full-Body Detection. In addition, as a rule for a Fullbody Detection Notification, when the body length information of the sensed body is analyzed and the whole body of the person is finally identified according to the analyzed body length information, the person is finally detected You can create a FullbodyDetected event and pass it to the event topic (car / full_body_detected) through the "full_body_detected" channel.

The Driver Detector 26 which is one of the device models 30 receives the whole body detection event from the event topic car / full_body_detected in the intelligent shared space and detects the pressure of the car seat in conjunction with the pressure sensor 23 Analyze the information, and generate a UserSeated event that instructs the driver to sit on the basis of the analysis result. Here, the generated seating event can be delivered to the event topic (car / user_seated) via the "user_seated" channel. Here, the numerical code defining the object intelligence specification for the driver detector 26 is shown in Table 3 below.

Referring to Table 3, as a rule related to the UserSeated Notification, it is determined whether the value sensed by the pressure sensor within 30 seconds is greater than 30 when the whole body detection event is received, And the generated seating event may be transmitted to the event topic through a channel (car / user_seated).

Here, the intelligent shared space 27 may also be referred to as an event bus, which may include one or more event topics to subscribe to and transmit the various events defined above to other IoT devices. In addition, the intelligent shared space 27 can be implemented in the real-time collaborative service providing apparatus 10 according to FIG. Here, the event topic includes at least one of "car / object_detected" to subscribe to and send an object detection event, "car / full_body_detected" to subscribe and send the whole body detection event, and "car / user_seated" to subscribe and send a seating event can do.

The seat position controller 28 which is one of the device models 30 receives the seating event from the intelligent shared space 27 and detects that the driver is seated in the car seat, (SeatPosture) for the car seat in consideration of the body length information of the car seat, and can perform the car seat control according to the control value in conjunction with the control motor of the car seat. Here, the control value may include a height, a position, a back angle, and the like of the car seat. The numerical codes defining the object intelligence specification for the seat posture controller 28 are shown in Table 4 below.

Referring to Table 4, as a rule regarding the seat posture control, when a seating event is received, a control value for a car seat is determined based on a bodylength of a user included in a received sitting event, The car seat can be controlled in association with the control motor of the car seat according to the determined control value.

Although the car seat control scenario has been described above, it should not be construed to be limited thereto and should be construed as being applicable to various physical spaces.

4 is a conceptual diagram illustrating an operation performed by a sensor in a real-time collaboration service.

Referring to FIG. 4, the operation of the device model linked with the sensor and the sensor described in FIGS. 1 and 2 can be confirmed.

Specifically, the sensor 11 is controlled by using a standard IoT platform according to oneM2M or by using a unique API (custom application programming interface) provided for each sensor manufacturer, Can be generated. The sensing data generated here is a kind of raw data which is processed by various stream operations including filtering and the processed data is stored in a working memory ). ≪ / RTI > The device model can infer the input data by referring to rules included in the rule engine (shown as CEP Engine), and generate state information events for the physical space. The generated status information event can be transmitted to the event topic in the form of a stream.

5 is a conceptual diagram showing an operation performed in an actuator in a real-time collaboration service.

Referring to FIG. 5, the operation of the device model in conjunction with the actuators and actuators described in FIGS. 1 and 2 can be confirmed.

Specifically, the state information event stored in the event topic can be input to a working memory, which is a component of the device model of the actuator through a stream operation, and the input state information event is input to the rule engine (Rule / CEP Engine), it is possible to generate a control start event according to the role of the received device model. When the control start event is generated, the controller 12 determines the control value to be performed by the actual physical actuator 12 with reference to the control rule, and controls the actuator 12 according to the control value through the oneM2M or custom-based actuator control method have.

FIG. 6 is a conceptual diagram illustrating operations performed in a hybrid apparatus in a real-time collaboration service.

Referring to FIG. 6, the operation of the device model linked to the complex device described with reference to FIG. 2 can be confirmed.

Specifically, the device model of the composite apparatus can receive a state information event as a stream from an event topic, perform a stream operation, and input the resultant data (Sink) into a working memory. Next, the device model can deduce and interpret the event input to the work memory to generate a state information event according to its role, and to provide a newly generated state information event to the event topic as a stream.

FIG. 7 is a conceptual diagram illustrating a software component of a device model for an IoT device according to a real-time collaboration service according to a layer.

7, a device model for an IoT device includes a device provision 31, a device abstraction 32, a framework 33, a working memory 34, A Rule Engine 35, and a Rule Repository 36.

Here, the device provision unit 31 may use various IoT devices (sensors, actuators, complex devices, etc.) using the SLICE standard interface (SPI) and the device framework provided by the upper layer device abstraction It may correspond to a hierarchy to be linked. Here, SLICE may be an interface definition language used by the Internet Communication Engine (ICE). You can use the unique APIs provided by each device or use Pi4J at the Raspberry Pi level to build your own low-level interoperability, but you can also use the standard IoT platform such as OneM2M for more abstract interoperability .

The device abstraction layer 32 provides a data model, a standard interface, and an interworking framework so that various IoT devices of the SLICE framework 33 and the device provision 31 can operate in cooperation with each other . For sensor devices, standard event types and standard event topics are provided by SPI (Sensor SPI), and the sensor device and device model can be interlocked through the event dispatch / subscribe framework. Actuator devices are provided with SPI as standard interfaces for device control and access, and the actuator and device model can be interlocked through the service registration / search / call framework.

The framework (Event / Service Framework, 33) layer can consist of an event framework and a service framework. Here, low level events must be converted to high level fact objects so that the low level events obtained from various devices via the device abstraction layer 32 can be utilized in the upper layer work memory 34. Accordingly, the event framework of the framework 33 layer can filter / combine / analyze low-level device events, convert them into high-level fact objects, and transmit them to the work memory 34, which is an upper layer. On the other hand, since the actuator device can not be directly controlled by the low-level SPI in the work memory 34, the work memory 34 calls a high-level service through a service framework, It can be properly bound to the required actuator SPI to control the device and access information.

The working memory 34 may provide an interface for adding / deleting / updating facts related to rules defined in the rule engine 35 so that the rule engine 35, which is an upper layer, can operate. The event framework of the lower layer hierarchy of the framework (33) can update the state of the working memory through the interface provided by the work memory (34). The work memory 34 may also be used to manage external connection objects for device control service calls according to defined rules.

The rule engine (Rule Engine) 35 is the highest layer, and various rules can be managed and executed as a user-defined object intelligence specification. The rules may include rules for state recognition of physical space by performing complex event processing as well as representing object intelligence specific to the domain to which the object (or IoT device) is applied. In addition, the rule engine 35 provides an administrator login (Admin / Logging) function so as to log the execution history of the rule or inquire the required rule from the rule store and update it with a new rule.

On the other hand, the rule engine 35 may assign an index to the generated rule and classify the rule according to a preset reference. That is, the rule engine 35 can classify a plurality of rules that have been generated in advance or newly generated according to various criteria. When an index is assigned to a rule and classified and grouped, the comparison time between the inputted sensing value and the rules is shortened, thereby reducing the reasoning time. At this time, the generated or classified rule can be stored and loaded into the rule repository 36.

For example, when the sensing value is between 1 and 10, it is determined that the rule according to the class classification class 1 or class 2 is applied. Only the rule belonging to the class 1 of the entire rule is searched to compare with the recognized space state, 2, it is possible to infer rules suitable for the recognized spatial state.

8 is a flowchart illustrating a method for providing a real-time collaboration service through object intelligence sharing according to an embodiment of the present invention.

Referring to FIG. 8, the operation of the real-time collaboration service providing method performed by the device model according to FIG. 7 can be confirmed.

Specifically, the real-time collaborative service providing method may be performed in an apparatus that provides a real-time collaboration service through object intelligence sharing by interfacing with one or more IoT devices equipped with a device model modeling an IoT (Internet of Things) .

Wherein the real-time collaborative service providing method comprises the steps of acquiring raw data obtained by sensing at least one IoT device from a surrounding physical space, analyzing the raw data with reference to rules stored in a rule repository, Inferring the state information, generating a state information event based on the inferred state information, and delivering the generated state information event to the event topic.

The step of acquiring raw data may include interfacing with the at least one IoT device using an API according to the oneM2M standard platform.

The event topic may be a software module that subscribes to the status information event and delivers it to a device model for other IoT devices.

The event topic may monitor an intelligent shared space formed by collecting a plurality of status information events from a device model for a plurality of IoT devices.

Wherein the real-time collaborative service providing method comprises the steps of receiving an event stream for a status information event from the event topic, analyzing the received event stream by referring to a rule stored in the rule repository, and generating a new status information event .

The method may further include determining whether to control the physical space based on the new state information event when the device model is generated by modeling the actuator.

The method may further include calculating a control value for the physical space according to the new status information event when it is determined to control the physical space.

The method may further include changing physical states of the physical space by performing physical control on the IoT device interlocked with the device model using the calculated control value.

The method of providing a real-time collaborative service may further include transmitting the new state information event to the event topic when the device model is generated by modeling the composite apparatus in which the functions of the actuator and the sensor are performed in a complex manner have.

The device model may interact with the at least one IoT device using a SLICE standard interface.

9 is a block diagram of an apparatus for providing a real-time collaboration service through object intelligence sharing according to an embodiment of the present invention.

Referring to FIG. 9, an apparatus 100 for providing a real-time collaborative service through object intelligence sharing by interfacing with at least one IoT device is equipped with a device model modeling an IoT (Internet of Things) a processor 110, and a memory 120 for storing instructions that direct the at least one processor to perform at least one of the steps.

The at least one processor 110 may be a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which methods in accordance with embodiments of the present invention are performed . Each of the memory 120 and the storage device 160 may be constituted of at least one of a volatile storage medium and a nonvolatile storage medium. For example, the memory 120 may comprise at least one of a read only memory (ROM) and a random access memory (RAM).

In addition, the device 100 providing real-time collaboration service may include a transceiver 130 that performs communication through a wireless network. The apparatus 100 for providing real-time collaboration services may further include an input interface device 140, an output interface device 150, a storage device 160, and the like. Each component included in the device 100 providing real-time collaborative service may be connected by a bus 170 to communicate with each other.

Wherein the at least one step comprises: acquiring raw data obtained by sensing at least one IoT device from a peripheral physical space; analyzing the raw data with reference to a rule stored in a rule repository, Inferring information, generating a status information event according to the reasoned status information, and conveying the generated status information event to the event topic.

The step of acquiring raw data may include interfacing with the at least one IoT device using an API according to the oneM2M standard platform.

The event topic may be a software module that subscribes to the status information event and delivers it to a device model for other IoT devices.

The event topic may monitor an intelligent shared space formed by collecting a plurality of status information events from a device model for a plurality of IoT devices.

The at least one step further includes analyzing the received event stream with reference to rules stored in the rule repository and generating a new status information event upon receipt of the event stream for the status information event from the event topic can do.

The at least one step may further include determining whether to control the physical space based on the new state information event when the device model is generated by modeling the actuator.

The at least one step may further include, when it is determined to control the physical space, calculating a control value for the physical space according to the new state information event.

The at least one step may further include modifying the state of the physical space by performing physical control on the IoT device interlocked with the device model using the calculated control value.

The at least one step may further include delivering the new state information event to the event topic if the device model is generated by modeling for a composite device in which the functions of the actuator and the sensor are performed in a complex manner .

The device model may interact with the at least one IoT device using a SLICE standard interface.

Examples of the device 100 providing the real-time collaboration service include a portable computer such as a desktop computer, a laptop computer, a notebook, a smart phone, a tablet PC, A mobile phone, a smart watch, a smart glass, an e-book reader, a portable multimedia player (PMP), a portable game machine, a navigation device, a digital camera, a DMB a digital multimedia broadcasting player, a digital audio recorder, a digital audio player, a digital video recorder, a digital video player, a PDA (Personal Digital Assistant) .

The methods according to the present invention can be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions recorded on the computer readable medium may be those specially designed and constructed for the present invention or may be available to those skilled in the computer software.

Examples of computer-readable media include hardware devices that are specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions may include machine language code such as those produced by a compiler, as well as high-level language code that may be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate with at least one software module to perform the operations of the present invention, and vice versa.

Furthermore, the above-mentioned method or apparatus may be implemented by combining all or a part of the structure or function, or may be implemented separately.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the present invention as defined by the following claims It can be understood that

Claims (1)

A method for providing a real-time collaborative service performed in a device providing a real-time collaboration service through object intelligence sharing by interworking with one or more IoT devices equipped with a device model modeling an IoT (Internet of Things)
Acquiring raw data obtained by sensing an adjacent physical space from at least one IoT device;
Inferring state information about the physical space by analyzing the row data with reference to rules stored in the rule repository;
Generating a state information event based on the inferred state information; And
And delivering the generated state information event to the event topic.

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