WO2019132215A1 - Method for controlling intelligent data collection operation in internet-of-things environment and apparatus therefor - Google Patents

Abstract

The present embodiment provides a method for operating a network resource manager for controlling an intelligent data collection operation of an intelligent thing in an Internet-of-Things environment, the method comprising the steps of: receiving, from a local smart hub, service history information on providing time and providing location of an intelligent service, and intelligent thing collaboration characteristic information on a performance function and an operation state of each of a plurality of intelligent things used for providing the intelligent service; generating an intelligent data collection-rule having a predetermined pattern for each intelligent thing on the basis of the service history information; and optimizing the intelligent data collection-rule by job-scheduling so that the number of times of collecting the intelligent data is minimized on the basis of the intelligent thing collaboration characteristic information.

Description

METHOD AND APPARATUS FOR CONTROLLING INTELLIGENT DATA COLLECTING OPERATION IN THE SITE INTERNET

The present invention relates to a method of controlling an intelligent data collection operation in an object internet environment and an apparatus therefor, and more particularly, to a technology for defining and operating an intelligent data collection rule optimized for each task.

The contents described in this section merely provide background information on the present embodiment and do not constitute the prior art.

Internet Of Things (IoT) is a technology that connects intelligent objects in daily life such as smart phones, smart speakers, and smart thermometers to wired and wireless networks to share information.

The object Internet system provides an intelligent service by controlling the operation of the intelligent objects according to the intelligent object control rules set by the rule engine. Here, the 'intelligent object control-rule' is a function that controls the specific intelligent object to perform a predetermined action when data (hereinafter, intelligent data) collected from the intelligent object satisfies a predetermined trigger condition 'Is a set of conditional statements. For example, the Intelligent Object Control-Rule can be used to control the air conditioner if the illuminance measured by the illuminance sensor is greater than 100 lx, hit the electronic curtain, or if the temperature measured by the temperature sensor exceeds 30 ° C Quot ;, " make ", and the like. Then, the intelligence data is collected by an intelligent object according to a predetermined pattern individually set to the intelligent object, and used for judging whether or not the trigger condition is satisfied.

In such a conventional object Internet system, intelligent objects collect intelligent data according to a predetermined pattern for each intelligent object without considering the characteristics of the intelligent service to be provided, and transmit the intelligent data to the gateway and the like, so network resources may be wasted There is a problem.

In addition, in the conventional object Internet system, intelligent objects collect intelligence data according to a predetermined pattern for each intelligent object without considering collaboration characteristics with other intelligent objects, and transmit the collected intelligence data to a gateway or the like, There is a problem that the number of heads may increase or network resources may be wasted.

In order to solve such a problem, the present embodiment intends to provide an intelligent data collection rule of the object Internet system which can minimize the waste of network resources and the increase of the calculation overhead.

According to an aspect of the present invention, there is provided an operation method of a network resource manager for controlling an intelligent data collecting operation of an intelligent object in an Internet environment of objects, the method comprising the steps of: Receiving intelligent object collaboration characteristic information on performance functions and operational states of each of a plurality of intelligent objects used for provision from a local smart hub; Generating an intelligent data collection rule having a predetermined pattern for each intelligent object based on the service history information; And optimizing the intelligent data collection-rule by job-scheduling the intelligent object collaboration characteristic information so that the collection frequency of the intelligent data is minimized based on the intelligent object collaboration characteristic information .

According to another aspect of the present invention, there is provided a network resource manager for controlling an intelligent data collecting operation of an intelligent object in an Internet environment of objects, the network resource manager including service history information on a providing time and a providing place of the intelligent service, A communication unit for receiving intelligent object collaboration characteristic information on performance functions and operation states of a plurality of intelligent objects from the local smart hub; An intelligent data collection-rule generation unit for generating an intelligent data collection rule having a predetermined pattern for each intelligent object based on the service history information; And an intelligent data collection-rule optimizing unit that optimizes the intelligent data collection-rule by job-scheduling the intelligent object collaboration characteristic information so that the collection frequency of the intelligent data is minimized, to provide.

The object Internet system according to the present embodiment defines intelligent data collection rules optimized for each task in consideration of the characteristics of intelligent services and the characteristics of collaboration between intelligent objects and operates them to minimize the waste of network resources and the increase in computation overhead There is an effect that can be done.

1 is a diagram illustrating an Internet object system according to an embodiment of the present invention.

FIG. 2 is a diagram exemplarily showing a type of a network topology composed of intelligent object groups according to the present embodiment.

3A is a diagram showing a configuration of a sensor type intelligent object according to the present embodiment.

3B is a view showing the configuration of an actuator type intelligent object according to the present embodiment.

3C is a diagram showing a configuration of a smart type intelligent object according to the present embodiment.

4 is a diagram showing a configuration of a network resource manager according to the present embodiment.

5 is a diagram showing a configuration of a local smart hub according to another embodiment of the present invention.

FIG. 6 is a flowchart illustrating a process of providing an intelligent service by the object Internet system according to the present embodiment.

7 is a flowchart showing a process of setting an intelligent data collection-rule according to the present embodiment.

Hereinafter, some embodiments of the present invention will be described in detail with reference to exemplary drawings. It should be noted that, in adding reference numerals to the constituent elements of the drawings, the same constituent elements are denoted by the same reference numerals even though they are shown in different drawings. In the following description of the embodiments of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

In describing the components of the present invention, terms such as first, second, A, B, (a), and (b) may be used. These terms are intended to distinguish the constituent elements from other constituent elements, and the terms do not limit the nature, order or order of the constituent elements. Throughout the specification, when an element is referred to as being "comprising" or "comprising", it means that it can include other elements as well, without excluding other elements unless specifically stated otherwise . In addition, '... The term "module" refers to a unit that processes at least one function or operation, which may be implemented in hardware, software, or a combination of hardware and software.

1 is a diagram illustrating an Internet object system according to an embodiment of the present invention.

1, the object Internet system 100 includes an intelligent object group 110, a network resource manager 130, and a local smart hub 150.

The intelligent objects group (110)

The intelligent object group 110 may include a plurality of intelligent objects, such as smart devices, sensor devices, etc., enhanced with wired and wireless network functions to provide intelligent services.

The intelligent object group 110 includes (1) a sensor type of an intelligent object (e.g., a temperature sensor, an illuminance sensor, a humidity sensor, a camera device, etc.) that performs an intelligent data collection function, (2) (For example, an electronic curtain, a lighting device, etc.) that performs an action function according to the type of a smart object (for example, a smart refrigerator Etc.).

A plurality of intelligent objects belonging to the intelligent object group 110 may be interconnected using a wired / wireless communication module (not shown) to configure various types of network topologies. The wired / wireless communication module may include an IP-based communication module such as Wi-Fi, Wibro, World Interoperability for Microwave Access (Wimax), and HSDPA (High Speed Downlink Packet Access). In addition, the wired / wireless communication module can be used in various wireless communication systems such as ZigBee, Bluetooth, Radio Frequency Identification (RFID), infrared data association (IrDA), Ultra Wideband (UWB), Near Field Communication (NFC) networks, CAN (Controller Area Networks), and the like.

FIG. 2 is a diagram exemplarily showing a type of a network topology composed of intelligent object groups according to the present embodiment. Referring to FIG. 2, a network topology composed of a plurality of intelligent objects may include star, ring, bus, and mesh network topologies. In particular, according to one aspect of the present embodiment, a plurality of intelligent objects may be interconnected with 'n: m' to form a mesh network topology. The mesh network topology has the advantage of being able to build a reliable network in a short time and at a lower cost than other types of network topologies, and to enable flexible network expansion.

Referring back to FIG. 1, each intelligent object (hereinafter referred to as an intelligent object) belonging to the intelligent object group 110 can transmit and receive various signals and data to and from the network resource manager 130 using a wire / wireless communication module. In particular, the intelligent object can collect intelligence data according to the intelligent data collection-rule received from the network resource manager 130.

The intelligent object is connected to the local smart hub 150 using a wired / wireless communication module, and can transmit and receive various signals and data for providing intelligent services. In particular, the intelligent object can collect intelligence data and send it to the local smart hub 150.

The intelligent object according to the related art collects intelligent data according to a preset pattern without considering characteristics of the intelligent service, and transmits the intelligent data to the gateway or the like, so that the network resource can be wasted unnecessarily. For example, when the trigger condition of the intelligent object control-rule is based on the 'temperature measured at intervals of one hour', the temperature sensor measures the temperature every one second and transmits it to the gateway or the like causes waste of unnecessary network resources .

The intelligent object according to the prior art collects intelligent data according to a preset pattern without considering the collaboration characteristics with other intelligent objects and transmits the intelligent data to the gateway or the like so that the operation overhead of a specific intelligent object increases, It can be wasted. For example, when the trigger condition is 'temperature over 20 ℃ and humidity is over 80%' in the object internet system including both the temperature and humidity sensor and the temperature sensor, the temperature and humidity are both measured by the temperature and humidity sensor, The head can be greatly increased. Alternatively, when the trigger conditions of different intelligent services are all based on the 'room temperature of a specific time zone', it is a waste of network resources to transmit temperature data redundantly to intelligent services (ie, tasks) .

In order to solve such a problem, the intelligent object according to the present embodiment collects intelligent data according to the defined intelligent data collection-rule in consideration of the characteristics of the intelligent service and the collaboration characteristics with other intelligent objects, (150).

Network resource manager 130,

The network resource manager 130 may define an intelligent data collection rule that includes predetermined pattern information that an intelligent object collects and sends to the local smart hub 150 intelligent data. Specifically, the network resource manager 130 generates an intelligent data collection-rule based on the service history information received from the local smart hub 150. Then, the network resource manager 130 optimizes the intelligent data collection-rule based on the intelligent object collaboration characteristic information received from the local smart hub 150, and distributes it to the intelligent object group 110.

The network resource manager 130 may be implemented in an external device such as a server or in a part of the intelligent object group 110. [ Alternatively, the network resource manager 130 may be configured so that the external server generates and distributes intelligent data collection-rules, and optimizes the intelligent data collection-rules in which some of the intelligent object groups 110 are distributed, May be implemented in the form of logical entities distributed over a plurality of devices. For reference, FIG. 1 shows a network resource manager 130 implemented as an external server. It is to be noted, however, that this is an exemplary one, and the present embodiment is not limited thereto.

Local Smart Hub (150)

The local smart hub 150 generates and manages an intelligent object list and an intelligent service list, controls the intelligent object group 110, and performs a gateway function for providing an intelligent service.

Specifically, the local smart hub 150 generates and manages an intelligent object list including information on the intelligent object group 110 constituting the network topology. Here, the information about the intelligent object group 110 constituting the network topology may include information such as an identifier, a location, and a performance function of each intelligent object.

The intelligent object list can be used for device authentication procedures for network entry of intelligent objects. For example, if an intelligent object requesting network joining exists in the intelligent object list, the local smart hub 150 may accept the device authentication request without any further procedure. Conversely, when the intelligent object requesting the intelligent network subscription does not exist in the intelligent object list, the local smart hub 150 may accept the device authentication request through the approval process of the user.

The local smart hub 150 may generate and manage an intelligent service list including service history information and intelligent object collaboration characteristic information. Here, the service history information may include information such as an intelligent object control-rule, a provision time of an intelligent service, and a providing place. The intelligent object collaboration characteristic information may include information such as the type of intelligent data that intelligent objects can collect, performance and operation state of intelligent objects, and the like.

The intelligent service list may be sent to the network resource manager 130 and used to generate and optimize intelligent data collection-rules.

The local smart hub 150 may generate and manage an intelligent object control-rule for controlling the operation of the intelligent object 110. [ Here, the intelligent object control-rule refers to a set of conditional statements that control the action of a specific intelligent object based on the intelligent data collected by the intelligent object 110. [ The intelligent object control-rule may be set by the user via an application of a smart phone connected to a user input interface (not shown) or a local smart hub 150 mounted on the local smart hub 150.

The local smart hub 150 performs a gateway function for providing an intelligent service using the intelligent data transmitted from the intelligent object 110. [

3 to 5, detailed configurations of the intelligent object 110, the network resource manager 130, and the local smart hub 150 will be described in detail.

3 is a diagram showing a configuration of an intelligent object according to the present embodiment.

Fig. 3 (a) shows a sensor type intelligent object, Fig. 3 (b) shows an actuator type intelligent object, and Fig. 3 (c) shows a configuration of a smart type intelligent object.

3, a sensor type intelligent object 310 is a device that performs a sensor function for intelligent data collection and includes a communication unit 311, a control unit 313, a storage unit 315, and a sensing unit 317, . ≪ / RTI >

The communication unit 311 may support a wired / wireless communication function with other intelligent objects to configure the network topology. The communication unit 311 receives the intelligent data collection-rule from the network resource manager 130 and transmits and receives various signals (e.g., device authentication request) and data (e.g., intelligent data) to and from the local smart hub 150 It can support wired / wireless communication function for

In order to perform such a function, the communication unit 311 may include an IP-based network interface module such as Wi-Fi, Wibro, World Interoperability for Microwave Access (Wimax), and HSDPA (High Speed Downlink Packet Access). In addition, the intelligent object 110 may be any one of ZigBee, Bluetooth, Radio Frequency Identification (RFID), infrared data association (IrDA), Ultra Wideband (UWB), Near Field Communication (NFC) based network interface modules such as cellular networks, CAN (Controller Area Networks), and the like.

According to one aspect of the present embodiment, when the object Internet system is used as a home network, the communication unit 311 can support a communication function according to various home network communication standards. For example, when the object Internet system is used as a home network that shares digital contents such as music, pictures, and video, the communication unit 311 transmits a communication function according to a home network communication standard such as DLNA (Digital Living Network Alliance) .

The control unit 313 controls all operations of the sensor type intelligent object 310, and in particular, can control the sensor unit 317 to collect intelligent data according to the intelligent data collection-rule. Also, the control unit 213 may control a device authentication procedure for network entry of an intelligent object. The controller 213 may be implemented as a microprocessor or a central processing unit (CPU).

The storage unit 315 is a nonvolatile memory (e.g., NAND FLASH memory) and / or a volatile memory (e.g., a DRAM or the like), which are necessary components for storing intelligent data, intelligent data collection rules and intelligent object control- ).

The sensing unit 317 may include a temperature sensor, a humidity sensor, an illuminance sensor, and the like as components necessary for measuring temperature, humidity, illumination, and the like and collecting intelligence data.

3B, the actuator type intelligent object 330 is a device that performs an action function according to the intelligent object control-rule, and includes a communication unit 331, a control unit 333, a storage unit 335, An action unit 337, and the like. Hereinafter, the description of the contents overlapped with the sensor type intelligent object described above with reference to FIG. 3A will be briefly described.

The communication unit 331 supports wired / wireless communication functions and may include an IP-based network interface module such as Wi-Fi and / or a non-IP-based network interface module such as Bluetooth.

The control unit 333 controls all operations of the actuator type intelligent object 330, and in particular, can control the action unit 337 to perform a specific action according to the intelligent object control-rule.

The storage unit 335 is a nonvolatile memory (e.g., NAND FLASH memory) and / or a volatile memory (e.g., a DRAM or the like), which are necessary components for storing intelligent data, intelligent data collection rules and intelligent object control- ).

The action unit 337 performs a predetermined operation (for example, it invites the electronic curtain, adjusts the brightness of the illumination, etc.) under the control of the control unit 333 when the predetermined trigger condition according to the intelligent object control- can do.

The actuator type intelligent object 330 differs from the sensor type intelligent object 310 in that the actuator type intelligent object 330 includes an action unit 337 instead of the sensor unit 317.

3, the smart type intelligent object 350 includes both a sensor type intelligent object 310 and an actuator type intelligent object 330. The smart type intelligent object 350 includes a communication unit 351, a control unit 353, a storage unit 355, a sensing unit 357, and an action unit 359. Here, the concrete contents of each configuration are as described above with reference to FIG. 3A and FIG. 3B.

4 is a diagram showing a configuration of a network resource manager according to the present embodiment.

Referring to FIG. 4, the network resource manager 130 includes a communication unit 410, an intelligent data collection-rule generation unit 430, an intelligent data collection-rule optimization unit 430, An intelligence data collection-rule distribution unit 470, and a storage unit 490. The intelligent data collection-

The communication unit 410,

The communication unit 410 supports a wired / wireless communication connection with the intelligent object group 110 and the local smart hub 150 and supports an IP based network interface module such as Wi-Fi and / or a non-IP based network interface such as Bluetooth Modules.

The intelligent data collection-rule generation unit 430

The intelligent data collection-rule generation unit 430 may generate an intelligent data collection-rule for each task using the service history information received from the local smart hub 150. [

Hereinafter, the intelligent data collection-rule according to the present embodiment will be described in comparison with a conventional method, for example.

Example 1

Example 1 relates to an intelligent service for controlling the operation of an electronic curtain and an illumination lamp according to an indoor illumination. Table 1 below shows a specific example of the service history information.

Intelligent Object Control - Rules		Delivery time of intelligent service
Trigger condition	Action (intelligent objects / contents)
Indoor illumination 100 lx or more	Electronic curtain / pull back	2017.12.1 (Fri) AM 07:00
Indoor illumination change 20 lx or more (decrease)	Turn on	2017.12.1 (Fri) PM 05:00
Indoor illumination 100 lx or more	Electronic curtain / pull back	2017.12.2 (Sat) AM 07:05
Indoor illumination change 20 lx or more (decrease)	Turn on	2014.12.2 (Sat) PM 04:55
Indoor illumination 100 lx or more	Electronic curtain / pull back	2017.12.3 (Sun) AM 07:10
Indoor illumination change 20 lx or more (decrease)	Turn on	2017.12.3 (Sun) PM 05:05

Referring to Table 1, (1) when the trigger condition of 'indoor illumination of 100 lx or more' is satisfied, the time of 'pull back' intelligent service was provided between 07:00 am and 07:10 am It can be confirmed that it changes every minute every minute. In addition, (2) the time when the trigger condition that the indoor illumination change is more than 20 lx (decrease) is satisfied and the 'turn on' intelligent service is provided is from 5:45 pm to 5:05 pm The daily intelligence data collection method in the environment shown in Table 1 is shown in Table 2 below.

Intelligent thing	Pattern information
	Sensing cycle	Illumination information transmission cycle
Illuminance sensor	1 second	1 second

Referring to Table 2, it can be confirmed that the illuminance sensor operates according to a preset pattern (i.e., a sensing period of 1 second and a luminance information transmission period of 1 second) in the illuminance sensor without considering the characteristics of the intelligent service shown in Table 1 . Collection (i.e., sensing) and transmission of illumination information performed at a time other than the time when the intelligent service of Example 1 is provided at about 07:00 am and at about 05:00 pm becomes unnecessary. Therefore, the network resources are wasted when the illuminance sensor is operated according to the existing method. Table 3 below shows the intelligent data collection-rule proposed in the present embodiment in the environment of Table 1.

Intelligent thing	Operating time	Sensing cycle	Illumination information transmission cycle
Illuminance sensor	AM 06:30 ~ AM 07:30 PM 04:30 ~ PM 05:30	1 second	1 minute

Referring to Table 3, in consideration of the service history information, the illuminance sensor operates with limited operation time (i.e., 1 hour in the morning and 1 hour in the afternoon), sensing cycle is 1 second, and illuminance information transmission cycle is 1 minute Can be confirmed. Therefore, when the illuminance sensor operates according to the intelligent data collection-rule according to the present embodiment, wasted network resources are minimized compared to the conventional method (Table 2). [ The generation unit 430 generates intelligent data collection-rules using the characteristics of the intelligent data, that is, the service history information included in the intelligent service list, thereby minimizing the waste of network resources.

The intelligent data collection-rule optimization unit 450

The intelligent data collection-rule optimization unit 450 performs job scheduling so that the number of times of collection of the intelligent data is minimized based on the intelligent object collaboration characteristic information received from the local smart hub 150, Can be optimized.

Specifically, the intelligent data collection-rule optimizing unit 450 may distribute the workload of the intelligent object 110 in consideration of the performance and the operation state of the intelligent object.

For example, when the trigger condition is 'temperature over 20 ℃ and humidity is over 80%' in the object internet system including both the temperature and humidity sensor and the temperature sensor, the temperature and humidity are both measured by the temperature and humidity sensor, The head can be greatly increased. Therefore, in this case, the intelligent data collection-rule optimizing unit 450 can optimize the intelligent data collection-rule by providing the humidity and the temperature sensor to report the temperature and humidity for the provision of the intelligent service.

The intelligent data collection-rule optimizing unit 450 performs deduplication of the measurement report operation of the intelligent object group 110 when the intelligent data required by each adjacent task is duplicated, It can be optimized. Here, an adjacent task is an intelligent service provided at the same time using some identical intelligent data.

For example, when the trigger conditions of adjacent tasks are common as 'room temperature at a specific time zone', repeatedly transmitting temperature data to the local smart hub 150 for each task causes waste of network resources . Therefore, in this case, the intelligent data collection-rule optimizing unit 450 can optimize the intelligent data collection-rule by providing redundancy for the temperature sensor to transmit the temperature data only once for the adjacent task, for intelligent service provisioning .

The intelligent data collection-rule distribution unit 470

The intelligent data collection-rule distribution unit 470 distributes the optimized intelligent data collection-rule to the intelligent object using the wired / wireless communication function of the communication unit 410. Then, the intelligent object collects intelligent data according to the distributed intelligent data collection-rule and transmits it to the local smart hub 150.

In the storage unit 490,

The storage unit 490 is a nonvolatile memory such as a NAND FLASH memory and / or a volatile memory (not shown), which is a component necessary for storing the intelligent service list and the intelligent data collection-rule received from the local smart hub 150 E.g., DRAM, etc.).

5 is a diagram showing a configuration of a local smart hub according to the present embodiment.

5, the local smart hub 150 includes a communication unit 510, a list management unit 530 for generating and managing an intelligent object list and an intelligent service list, an intelligent object control unit 550 for controlling an intelligent object, (570).

The communication unit 510,

The communication unit 510 supports a wired / wireless communication connection with the intelligent object 110 and the network resource manager 130 and supports an IP based network interface module such as Wi-Fi and / or a non-IP based network interface module such as Bluetooth . ≪ / RTI >

The list management unit 530

The list management unit 530 can generate and manage an intelligent object list including information (e.g., an identifier of an intelligent object, a location, a performance function, etc.) of the intelligent object group 110 constituting the network topology. The intelligent object list can then be used for device authentication procedures for network entry of other intelligent objects.

The list management unit 530 can generate and manage an intelligent service list including service history information (e.g., intelligent object control-rules and the like) and intelligent object collaboration characteristic information (performance and operation state of intelligent objects, etc.). Then, the intelligent service list is transmitted to the network resource manager 130 and can be used for generating and optimizing intelligent data collection-rules.

The intelligent object control unit 550,

The intelligent object control unit 550 may generate and manage an intelligent object control-rule for controlling the operation of the intelligent object group 110. [ Here, the intelligent object control-rule refers to a set of conditional statements that control the action of a specific intelligent object based on the intelligent data collected by the intelligent object group 110.

The intelligent object control-rule may be set by the user via an application of a smartphone wirelessly connected to a user input interface (not shown) or a local smart hub 150 mounted on the local smart hub 150. The intelligent object control-rule generated by the intelligent object control unit 550 based on the setting information of the user can be stored in the storage unit 590. [

In addition, the intelligent object control unit 550 may perform a signal transmission gateway function for providing an intelligent service using intelligent data.

The storage unit 570

The storage unit 570 may include non-volatile memory (e.g., NAND FLASH memory) and / or volatile memory (e.g., DRAM, etc.) as components necessary for storing intelligent object control-rules and intelligent data .

Hereinafter, a method of providing an intelligent service and a method of optimizing an intelligent data collection-rule will be described with reference to FIGS. 6 and 7. FIG.

FIG. 6 is a flowchart illustrating a process of providing an intelligent service by the object Internet system according to the present embodiment.

Referring to FIG. 6, in step S610, the local smart hub 150 generates an intelligent object control-rule for controlling the operation of the intelligent object group 110. FIG.

In step S620, the local smart hub 150 generates an intelligent service list including service history information and intelligent object collaboration characteristic information.

In step S630, the local smart hub 150 transmits the intelligent service list to the network resource manager 130. [

In step S640, the network resource manager 130 generates an intelligent data collection-rule using the service history information included in the intelligent service list.

In step S650, the network resource manager 130 optimizes the intelligent data collection-rule using the intelligent object collaboration characteristic information included in the intelligent service list.

In step S660, the network resource manager 130 distributes the optimized intelligent data collection-rule to the intelligent object group 110. [

In step S670, the intelligent object 110 collects intelligent data according to the intelligent data collection-rule and transmits it to the local smart hub 150. [

In step S680, the local smart hub 150 provides the intelligent service by controlling the intelligent object 110 by applying the intelligent object control-rule generated in step S610 to the transmitted intelligent data.

7 is a flowchart illustrating a process of optimizing intelligent data collection-rules according to the present embodiment.

Referring to FIG. 7, in step S710, the network resource manager 130 determines whether or not the intelligent object 110 receives the intelligent object collaborative characteristic information received from the local smart hub 150, in particular, Of the workload of the client.

In step S720, the network resource manager 130 determines whether overlapping of the intelligent object collaboration operation characteristic information received from the local smart hub 150, in particular, Perform removal.

6 and 7, it is described that a plurality of processes are sequentially performed, but this is merely a description of the technical idea of this embodiment by way of example. In other words, it will be understood by those skilled in the art that changes may be made to the procedures described in FIGS. 6 and 7 without departing from the essential characteristics of the present embodiment, It is to be understood that the invention is not limited to the above-described embodiments, and that various changes and modifications may be made therein without departing from the spirit and scope of the invention.

6 and 7 can be implemented as computer-readable codes on a computer-readable recording medium. A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored. That is, a computer-readable recording medium includes a magnetic storage medium (e.g., ROM, floppy disk, hard disk, etc.), an optical reading medium (e.g., CD ROM, And the like). The computer-readable recording medium may also be distributed over a networked computer system so that computer readable code can be stored and executed in a distributed manner.

The foregoing description is merely illustrative of the technical idea of the present embodiment, and various modifications and changes may be made to those skilled in the art without departing from the essential characteristics of the embodiments. Therefore, the present embodiments are to be construed as illustrative rather than restrictive, and the scope of the technical idea of the present embodiment is not limited by these embodiments. The scope of protection of the present embodiment should be construed according to the following claims, and all technical ideas within the scope of equivalents thereof should be construed as being included in the scope of the present invention.

(Explanation of Symbols)

100: Things Internet System 110: Intelligent Things

130: Network Resource Manager 150: Local Smart Hub

311, 331, 351: communication units 313, 333, 353:

315, 335, 355: storage unit 317, 357: sensing unit

339, 359: action unit 410: communication unit

430: intelligent data collection-rule generation unit 450: intelligent data collection-rule optimization unit

470: intelligent data collection-rule distribution unit 490: storage unit

510: communication unit 530: list management unit

550: intelligent object control unit 570:

CROSS-REFERENCE TO RELATED APPLICATION

This patent application claims priority to Patent Application No. 10-2017-0184216, filed on December 29, 2017, which is incorporated herein by reference in its entirety.

Claims (11)

1. An operation method of a network resource manager for controlling an intelligent data collection operation of an intelligent object in an object internet environment,

   Receiving, from a local smart hub, service history information on a providing time and a providing place of the intelligent service, and intelligent object collaboration characteristic information on performance functions and operation states of a plurality of intelligent objects used for providing the intelligent service;

   Generating an intelligent data collection rule having a predetermined pattern for each intelligent object based on the service history information; And

   And optimizing the intelligent data collection-rule by job-scheduling such that the number of times of intelligent data collection is minimized based on the intelligent object collaboration characteristic information

   How Network Resource Manager works.
2. The method according to claim 1,

   The predetermined pattern

   The collection time of the intelligent data is set to match with the provision time of the intelligent service

   How Network Resource Manager works.
3. The method according to claim 1,

   The job scheduling

   Distributing workloads based on the intelligent object collaboration characteristic information and eliminating redundant collection of identical intelligent data in relation to other intelligent services with overlapping service provision times

   How Network Resource Manager works.
4. The method according to claim 1,

   And distributing the optimized intelligent data collection-rule to each of the plurality of intelligent objects

   How Network Resource Manager works.
5. The method according to claim 1,

   The plurality of intelligent objects constitute a mesh network topology

   How Network Resource Manager works.
6. 1. A network resource manager for controlling an intelligent data collection operation of an intelligent object in an object Internet environment,

   A communication unit for receiving service history information on a providing time and a providing place of an intelligent service and intelligent object collaboration characteristic information on performance functions and operation states of a plurality of intelligent objects used for providing the intelligent service from a local smart hub;

   An intelligent data collection-rule generation unit for generating an intelligent data collection rule having a predetermined pattern for each intelligent object based on the service history information; And

   And an intelligent data collection-rule optimizing unit for optimizing the intelligent data collection-rule by job-scheduling the intelligent data collective-characteristic information so that the collection frequency of the intelligent data is minimized

   Network Resource Manager.
7. The method according to claim 6,

   The predetermined pattern

   The collection time of the intelligent data is set to match with the provision time of the intelligent service

   Network Resource Manager.
8. The method according to claim 6,

   The job scheduling

   Distributing workloads based on the intelligent object collaboration characteristic information and eliminating redundant collection of identical intelligent data in relation to other intelligent services with overlapping service provision times

   Network Resource Manager.
9. The method according to claim 6,

   An intelligent data collection-rule distribution unit that distributes the optimized intelligent data collection-rule to each of the plurality of intelligent objects; And

   And a storage unit for storing the optimized intelligent data collection-rule

   Network Resource Manager.
10. The method according to claim 6,

    The plurality of intelligent objects constitute a mesh network topology

    Network Resource Manager.
11. The method according to claim 6,

    The network resource manager

    An external server or at least one of the plurality of intelligent objects

    Network Resource Manager.

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