사물인터넷은 단말기 중심 센싱(RFID) 기술, 유무선 통신 및 네트워크 인프라, IoT 서비스 인터페이스 기술, 보안 기술, 빅 데이터와 서비스 기술이 상호 연동되어 명확한 타깃 고객에게 실질적 가치를 제공한다. IoT는 단말기 중심에게 기술개 발이 전개되었다. 향후 인간의 역할을 최소화하면서 사물들은 온도, 습도, 열, 가스, 조도, 초음파 센서부터 원격감지, 전자 파흡수율(SAR), 레이더, 위치, 모션, 영상센서 등의 정보를 공유하는 서비스를 하게 된다. 웨어러블 센싱 기술은 사람과 사 물, 사물 상호간에 통신할 수 있는 통로와 인터페이스 역할을 한다. 센싱은 정보를 수집, 처리, 관리하고 정보가 서비스로 구현되기 위한 최첨단이라 할 수 있다. 인터페이스 서비스에 있어서는 단말기기, 콘텐츠, 플랫폼, 네트워크 방식이 함께 구 동되어야 한다. 본 연구는 단말기 중심 IoT 제품 사례를 기반으로 표준기구 위에서 IoT의 공통 서비스 플랫폼으로 개방형 생태계를 구성하는 IoT 공통 서비스 플랫폼의 필요성을 제기했다. 따라서 IoT 응용서비스, IoT 디바이스, 센서 및 부품, IoT 플랫폼, IoT 보안 솔루션 분야에서 IoT 표준 연구 분야로 5G, 사물인터넷, U-헬스, 빅 데이터 활용 Health care, 편리 하고 안전한 환경을 마련하는 서비스 플랫폼 연구가 필요하다. 향후 IoT는 누구에게나 안전하고 편리한 서비스를 제공할 수 있는 오픈 이노베이션 생태계를 위한 인간 중심에서 서비스 환경이 있어야 한다.

The study was conducted for making accident-free, accurate and effective construction site to improve the smart construction site management system by using new developed technology such as IoT, RFID, and etc... The study recommends new IoT construction management application and web with a structure of the system

Nowadays, wireless sensor network applications have been used in several important areas, such as healthcare, construction, critical infrastructure, environmental monitoring, and manufacturing. However, due to the limitation of WSNs in terms of memory, energy, computation, and scalability, efficient management of the large number of WSNs data in these areas is an important issue to deal with. There is a need for a high-performance computing and massive storage infrastructure for real-time processing and storing of the data as well as analysis of the information. In this paper, we present a technology and application of sensor cloud computing based on IoT and service to manage monitoring sensor data for the f construction design-build projects. With this IoT sensor cloud platform, the entire project participants can efficiently share information to identify and solve issues in the design build phase.

In this study, plant pipeline diagnosis system based on IoT(Internet of Things)was developed. The system consists of three parts : sensor system, omnicube system and pipeline safety assessment solutions. The plant pipeline diagnosis system was constructed in plant pipeline and was validated field applicability. Plant pipeline diagnosis system based on IoT is appropriate for plant pipeline safety monitoring.

The importance of plant pipe rack safety management has been increased. In this study, a plant safety management system based on IoT(Internet of Things) was constructed in Yeosu Industrial Complex. The purpose of this study is to investigate the structural characteristics performance and structural health monitoring of pipe rack using measured data

In this study, a plant safety management system based on IoT(Internet of Things) was developed. The system consists of three parts : smart sensing technology, wireless networking technology and smart plant safety services. The safety management system was constructed in Yeosu Industrial Complex and was validated field applicability in plant. The IoT plant safety management system is appropriate for plant industrial structures.