KR20160114416A - Internet of Things Adaptor - Google Patents

Abstract

The present invention relates to an IoT adapter, wherein the IoT adapter according to an embodiment of the present invention includes a communication module for connecting to an Internet of Things (IoT) device for extracting data; A data conversion module for converting the extracted data into a format determined by a user; An event extraction module for extracting an event when the converted data satisfies an event condition; And a storage module for storing the extracted data.

Description

IoT adapter {Internet of Things Adapter}

The present invention relates to an IoT adapter, and more particularly, to a monitoring IoT adapter for implementing a distributed cloud service.

Unlike a centralized cloud, a distributed cloud has a locally small cloud computing ICT resource. The distributed cloud has the effect of distributing the traffic, and since it is close to the terminal, it has a relatively low delay, so high-speed traffic is advantageous.

Since human-oriented media such as video should be transmitted remotely, it is necessary to use telecommunication network of the telecommunication service provider. However, since the value of Internet data is limited to a certain area, the mini cloud data center is used for Internet of Things ), It is likely to be closer to users and to provide computing services.

In the case of small and medium sized stores selling goods, the owner does a lot of work such as buying and managing goods, managing stores, and so on. Therefore, the resource is administered according to the judgment of the owner, and the working mode is determined. However, when the store becomes bigger and there are more items to deal with, there is a limit to judge only by human judgment. However, there is no room to obtain information by processing all the data that occurs in each object and product. Also, even if there is such a system, the characteristic is very different for each store and person, so it is impossible to make a system which is applied collectively. POS (Point of Sales), which deals with customer information, items, sales and time information, and quantified information, but this is very limited.

Accordingly, the present invention provides a method for obtaining intuitive information through data analysis in addition to a data-centric management method and an intuition of a manager in a plurality of stores in a building. The present invention also describes a method of utilizing services in a manner of processing / extracting various sensor values generated in IoT devices in individual stores.

To this end, the IoT adapter according to one aspect of the present invention includes a communication module for connecting to an Internet of Things (IoT) device for extracting data; A data conversion module for converting the extracted data into a format determined by a user; An event extraction module for extracting an event when the converted data satisfies an event condition; And a storage module for storing the extracted data.

According to embodiments of the present invention, data analysis using IoT adapters can be used in various stores. In addition, it can be physically connected to various IoT devices and can be connected even where the Internet is not connected.

1 is a block diagram of a configuration of an IoT adapter according to an embodiment of the present invention.
2 is a diagram illustrating a cloud system using an IoT adapter according to an embodiment of the present invention.
3 is a diagram illustrating a public cloud system using an IoT adapter according to an embodiment of the present invention.
4 is a diagram illustrating a personal cloud system using an IoT adapter according to an embodiment of the present invention.
5 is a diagram illustrating a system for connecting to the Internet using an IoT adapter according to an embodiment of the present invention.
6 is a diagram illustrating an IoT adapter in which a communication module and an execution module are separated from each other according to an embodiment of the present invention.
7 is a view for explaining a connection mode of the IoT adapter according to an embodiment of the present invention.
8 is a diagram illustrating a GUI screen for setting an IoT device according to an embodiment of the present invention.
9 is a view for explaining a parameter setting method according to an embodiment of the present invention.

While the present invention has been described in connection with certain exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, is intended to cover various modifications and similarities. 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.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS In the following description of the present invention, detailed description of known related arts will be omitted when it is determined that the gist of the present invention may be unnecessarily obscured.

In addition, the singular phrases used in the present specification and claims should be interpreted generally to mean " one or more " unless otherwise stated.

In the past, computers were used only for information processing. With the introduction of the concept of physical computing, the concept of a computer with sensors and actuators appeared, allowing the computer to recognize the surrounding environment . In recent years, high-performance and low-cost sensors that are fundamental to IoT technology have been developed, and sensors can be attached to smart phones to analyze individual positions and motion patterns. In addition, the control of sensors and actuators, which were possible only with a microcontroller, became possible in a general purpose microprocessor due to the development of chip technology, so that an operating system (OS) could be loaded on a microprocessor board instead of a firmware. In addition, a computer board consisting of a single board has also been developed, and on the market there are raspberry pies, banana pies, Intel's Galileo boards, Beagle boards and cubby boards, and the technology is expected to accelerate.

For example, you can create a mini cloud center by collecting 50 computer boards, raspberry pie, which allows you to install a lightweight web server on various electronic devices. This means that not only the media that is familiar to people are connected to the Web, but also the devices with sensors and actuators can be controlled and monitored via the web.

In the past, servers and other information systems were costly and could not allocate flexible computing resources, and the use of computing power by store or user was very different, making it difficult to consistently produce products. So what emerged is the cloud, and the data center that forms the cloud is a system that shares ICT resources such as servers, storage, and networks. There are many traditional servers in the data center that are power-hungry, noisy, costly, and space-intensive, and are being addressed by virtualization by hypervisors. It is now possible to place these hypervisors on the microprocessor board, and new forms are emerging that can easily extend computing resources beyond remote cloud resources.

The present invention relates to an IoT device and an IoT adapter for monitoring to implement an IoT service, which is expected to be a promising service of a distributed cloud. In addition, it is possible to record various kinds of information through monitoring and make environment for data analysis, thereby contributing to increase in sales.

1 is a block diagram of a configuration of an IoT adapter according to an embodiment of the present invention.

1, the IoT adapter 100 includes a communication module 110, a data conversion module 120, an event extraction module 130, and a storage module 140.

The communication module 110 can transmit and receive data to and from the IoT device. In addition, parameter settings to be collected can be transmitted to the IoT device. Since the IoT device uses various communication methods, the communication module 100 of the IoT adapter 100 must have various communication modules.

Currently, many communication modules such as 3G, 4G, wifi, Bluetooth and Zigbee are being developed to connect objects. Past communications have been designed for voice transmission and have been developed by telecommunication carriers because they have evolved into a way of communicating data without degrading speech quality. In recent years, however, communication networks for transmitting human-oriented media such as moving pictures to remote places have been developed, and proximity has become more valuable as the number of object data increases. Depending on the type of object data, high-speed real-time transmission may be required, but only for monitoring and control, low-power and low-speed communication will suffice. For example, Wifi is being developed as a low-power, long-distance transmission, and Bluetooth is also widely used for 1: 1 communication such as headphone and model car control. Zigbee can communicate with many objects, and is capable of low-power, low-speed communication and mesh configuration. 3G or 4G can be used in places where wired communication is not possible, which enables long distance communication.

The data conversion module 120 may convert the sensor value received from the communication module 110 into a format inside the device.

The event extraction module 130 can extract a sample that satisfies the set criteria among the received sensor values when it occurs.

The storage module 140 can store the received sensor values in a file form in a storage device such as an SD card in real time.

2 is a diagram illustrating a cloud system using an IoT adapter according to an embodiment of the present invention.

Referring to FIG. 2, a mall is summarized in a building in one area. A plurality of stores and an information processing server 220 may exist in the shopping mall. One store 200 may include an IoT adapter 100 and an IoT device 210. Here, the number of IoT adapters 100 and IoT devices 210 shown in the figure is one example, and the present invention is not limited thereto. The store 200 can communicate with the information processing server 220 through the IoT adapter 100.

The information processing server 220 may operate the cloud OS 230. [ When the amount of information is small, only one physical server is sufficient for the information processing server 220, but the information processing server 220 can be operated in a multi-ID system if the number of stores is increased. Also, if a server is required for each store, the information processing server 220 can use the virtual machine 232.

The cloud OS 230 can manage a plurality of virtual machines 232 using the virtual machine manager 231. [ By using the virtual machine 232, less power is used, less space is occupied, generation / management is easy, and it can be flexibly used according to the required computing traffic.

3 is a diagram illustrating a public cloud system using an IoT adapter according to an embodiment of the present invention.

Referring to FIG. 3, the IoT device 300 or the sensor 310 may be connected to the public cloud 320 through the IoT adapter 100.

The IoT device 300 may be a smart phone, but may be a user terminal using Wifi, Bluetooth, or Zigbee.

IoT device 300 may monitor parameters that may help increase the sales of each store. For example, in the case of a restaurant, it may be the throughput throughput and may be the number of times the store is opened. IoT device 300 and IoT adapter 100 can transmit data using various communication modules.

The sensor 310 may be directly connected to the IoT adapter 100 and may extract the sensor value and transmit it to the IoT adapter 100 in the same manner as the IoT device 300.

The public cloud 320 is connected to the Internet via the Ethernet or the 3G / 4G from the IoT adapter 100, and can transmit data to the remote cloud data center. In addition, the public cloud 320 may be connected to the personal PC 321 and the virtual machine 322.

4 is a diagram illustrating a personal cloud system using an IoT adapter according to an embodiment of the present invention.

4, the IoT device 300 or the sensor 310 is connected to the private cloud 400 through the IoT adapter 100. [ 3, if the data in one store is reluctant to be known to the outside or is disconnected from the outside, a server may be installed in one space and a virtual machine may be created to configure the private cloud 400. [ If the one-board computer develops, you can configure the mini-cloud and move it into your bag just as you would create a pie cloud by bundling the raspberry pie. This enables more complex and sophisticated computing tasks without having to go through remote data centers.

5 is a diagram illustrating a system for connecting to the Internet using an IoT adapter according to an embodiment of the present invention.

Referring to FIG. 5, if the IoT adapter 100 can not be directly connected to the Internet, the IoT adapter 100 may be positioned in the middle of the IoT adapter 100 as shown in FIG. 5, hopped through the IoT adapter 100 and connected to the Internet. Fig. 5 (a) shows a case of being connected to an upper layer, and Fig. 5 (b) shows a case of being connected horizontally.

6 is a diagram illustrating an IoT adapter in which a communication module and an execution module are separated from each other according to an embodiment of the present invention.

Referring to FIG. 6, the IoT adapter can be used by separating the communication module 110 from the rest of the components. The reason for separating the communication module separately is that the communication module is required to be configured in the case of the IoT adapter but the board to be used differs according to the specific field (power generation, architecture, environment, factory, etc.) It is because.

7 is a view for explaining a connection mode of the IoT adapter according to an embodiment of the present invention.

Referring to FIG. 7, the IoT adapter 100 may be connected to the communication modules 110 in the form of a mesh. The plurality of IoT adapters 100 may be grouped into one another, or may be various combinations capable of communicating with one another in a wide area. For this purpose, it is advantageous to separate only the communication module 110.

The most representative of the unstructured data DB is the Mongolian DB. What you are familiar with is relational database SQL. Relational DBs have a fixed schema definition and data type. In contrast, the Mongolian DB is document-oriented in the form of JavaScript Object Notation (JSON). Although the schema is not constant, schema definition is generally used as a field. The Mongolian DB has many merits that can model various data types by key-value when modeling items, and can be widely used for big data. In the present invention, unstructured data such as the Mongolian DB can be collected and analyzed at small and medium sized stores due to technological advances.

8 is a diagram illustrating a GUI screen for setting an IoT device according to an embodiment of the present invention.

Referring to FIG. 8, the IoT device may display a board type, a sample setting value, and a sensor type to a user. The user can select the type of board required according to the specific field, how to sample the sample, and also select the type of sensor. As an example of how to set how the samples are extracted, the user can select either the period, the statistic, or the time among the sample set values displayed on the IoT device. When the user selects the cycle as the sample setting value, the user can extract the sample based on the cycle (day, month, week, or fixed date) selected by the user.

9 is a view for explaining a parameter setting method according to an embodiment of the present invention.

Referring to FIG. 9, a method of setting a sales increase parameter for increasing sales amount is taken as an example.

In step S900, a temporary value of the sales increase parameter is designated by consulting between the specialist and the store owner.

In step S910, a sensor is attached to the substance measurement object (for example, a product) directly or indirectly connected to the temporarily designated parameter. Here, the sense is a device that the sensor can detect, such as a bar code or an RF chip.

In step S920, the sensed attached sensor is sensed, and input information of the substance measurement object is received to produce a sales volume model.

In step S930, the sales volume correlation according to the input information is observed based on the sales volume model for a predetermined period.

In step S940, it is determined whether the model is suitable. If the model is not suitable, the parameters can be specified again.

The apparatus and method according to embodiments of the present invention may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer readable medium may include program instructions, data files, data structures, and the like, alone or in combination.

Program instructions to be recorded on a 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 arts. Examples of computer-readable media include magnetic media such as hard disks, floppy disks, and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Includes hardware devices specifically configured to store and execute program instructions such as magneto-optical media and ROM, RAM, flash memory, and the like. The above-mentioned medium may also be a transmission medium such as a light or metal wire, wave guide, etc., including a carrier wave for transmitting a signal designating a program command, a data structure and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like.

The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

The embodiments of the present invention have been described above. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the disclosed embodiments should be considered in an illustrative rather than a restrictive sense. The scope of the present invention is defined by the appended claims rather than by the foregoing description, and all differences within the scope of equivalents thereof should be construed as being included in the present invention.

Claims (1)

A communication module for connecting to an Internet of Things (IoT) device for extracting data;
A data conversion module for converting the extracted data into a format determined by a user;
An event extraction module for extracting an event when the converted data satisfies an event condition; And
A storage module for storing the extracted data,
Lt; / RTI > adapter.

Images