• Title/Summary/Keyword: IoT 모니터링

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Mobile-based Big Data Processing and Monitoring Technology in IoT Environment (IoT 환경에서 모바일 기반 빅데이터 처리 및 모니터링 기술)

  • Lee, Seung-Hae;Kim, Ju-Ho;Shin, Dong-Youn;Shin, Dong-Jin;Park, Jeong-Min;Kim, Jeong-Joon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.6
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    • pp.1-9
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    • 2018
  • In the fourth industrial revolution, which has become an issue now, we have been able to receive instant analysis results faster than the existing slow speed through various Big Data technologies, and to conduct real-time monitoring on mobile and web. First, various irregular sensor Data is generated using IoT device, Raspberry Pi. Sensor Data is collected in real time, and the collected data is distributed and stored using several nodes. Then, the stored Sensor Data is processed and refined. Visualize and output the analysis result after analysis. By using these methods, we can train the human resources required for Big Data and mobile related fields using IoT, and process data efficiently and quickly. We also provide information that can confirm the reliability of research results through real time monitoring.

Design of Monitoring System for Elders Living Environment (독거노인 생활환경 모니터링 시스템 설계)

  • Kim, Jun-Sik;Han, Jong-Bin;Jo, Min-Gyu;Ha, Hyeon-Seung;Kim, Bong-Hyun;Lee, Byong-Kwon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.07a
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    • pp.653-654
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    • 2022
  • 본 논문은 독거노인의 생활터전인 주택 내 생존활동과 안전사고 예방을 위하여 인체감지(PIR센서)와 생활에 적합한 온/습도 점검 및 화재와 가스 유출 같은 위험 요소 등을 다양한 센서와 모니터링 시스템을 통해 안전 상태를 모니터링 하고 응급상황 시 신속하게 대처하는 시스템이며 IoT Device는 Arduino를 사용하였고, Arduino에서는 데이터를 수집하고 WIFI를 통해 수신한다. 수신 받은 데이터를 Cloud를 통해 Raspberry Pi에 구축한 데이터베이스에 저장하고 모니터링 시스템인 모바일 앱을 통해 사용자에게 수집한 데이터를 시각화하여 출력하도록 설계하였다

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A Study on Energy Saving and Safety Improvement through IoT Sensor Monitoring in Smart Factory (스마트공장의 IoT 센서 모니터링을 통한 에너지절감 및 안전성 향상 연구)

  • Woohyoung Choi;Incheol Kang;Changsoo Kim
    • Journal of the Society of Disaster Information
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    • v.20 no.1
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    • pp.117-127
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    • 2024
  • Purpose: The purpose is to conduct basic research to save energy and improve the safety of manufacturing plant infrastructure by comprehensively monitoring energy management, temperature, humidity, dust and gas, air quality, and machine operation status in small and medium-sized manufacturing plants. Method: To this end, energy-related data and environmental information were collected in real time through digital power meters and IoT sensors, and research was conducted to disseminate and respond to situations for energy saving through monitoring and analysis based on the collected information. Result: We presented an application plan that takes into account energy management, cost reduction, and safety improvement, which are key indicators of ESG management activities. Conclusion: This study utilized various sensor devices and related devices in a smart factory as a practical case study in a company. Based on the information collected through research, a basic system for energy saving and safety improvement was presented.

Embedded System for Mobile Phone-based Control and Monitoring (모바일 폰 기반의 제어 및 모니터링을 위한 임베디드 시스템)

  • Park, Hung-bog;Seo, Jung-hee
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.288-289
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    • 2018
  • The use of IoT (Internet of Things) is rapidly expanding to enhance the quality of life as seen in the interconnection between mobile devices and Web. This paper proposes an embedded system that connects sensors and mobile devices via IoT technology, improving the user's ability and service experience to remotely control the home appliances with mobile-detection features. Home appliances are expected to increase labor efficiency by utilizing the embedded system connected to the sensors. Using mobile applications to control home appliances remotely and to monitor operation status advances the user's knowledge, experience, and perspectives to experience refined life qualities.

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Ontology-based IoT Platform for Improving Interoperability (상호운용성 향상을 위한 온톨로지 기반의 IoT 플랫폼)

  • Lee, Kangjun;Jang, Woolin;Yang, Byeongheon;Lee, Seungyeon;Jeong, Dongwon;Lee, Sukhoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.6-8
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    • 2021
  • Recently, the Internet of Things technologies are continuously advanced, and IoT devices are being used in various domain. IoT platforms should not only collect and manage data by connecting to various devices, but also monitor and control them. However, conventional IoT platforms have different data types and protocols, and have the problem of not monitoring or controlling cross-platform devices. This research proposes an ontology-based IoT platform to resolve this problem. Therefore, this research analyzes the types and characteristics of conventional IoT platforms, and this paper proposes a new platform architecture based on the analysis. The proposed platform is expected to flexible data management and improvement of interoperability between other platforms by utilizing ontology technology.

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Application on Autonomous Things Monitoring System for IoT Platform of Smart City (스마트시티 IoT플랫폼 구축을 위한 자율사물 모니터링 시스템 적용성 평가)

  • Yoo, Chan Ho;Baek, Seung Cheol
    • Land and Housing Review
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    • v.11 no.1
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    • pp.103-108
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    • 2020
  • Autonomous things system is a technology that judges and acts based on using surrounding information by itself, and it is evaluated as a future technology that can replace the current IoT technology. The current IoT technology is widely used from facility monitoring to machine control but it is shown weakness as a evaluation and prediction technique despite of smart city important technology. In this study, in order to confirm the application of the autonomous things technology, a monitoring system was installed on a real reservoir dam facility and long-term monitoring was performed that the measuring device itself judges and control as a facility monitoring technology. The autonomous things technology was confirmed during 19 months and it is possible to continuous measurement in the same way as current automated instrumentation. In addition, it was confirmed that the ICT device itself could to control autonomously measurement cycle according to the rainfall by itself.

Energy big data analysis and classification software based on machine learning (부하별 에너지 빅데이터 분석 소프트웨어 시스템)

  • Kang, Jeonghoon;Yoo, June-Jae;Choi, Hyoseop;Lee, Taewoo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.05a
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    • pp.54-55
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    • 2018
  • 본 논문은 지속적으로 수집되는 전력량계 데이터를 자동으로 처리, 분석하기 위한 IoT 데이터 기반 자동분석 기법을 제시한다. 에너지 효율을 높이기 위해서는 대상 설비의 관리, 모니터링을 통해 운영을 최적화해야 한다. IoT 기술을 이용하여 에너지 설비 사용 효율을 확인하고, 관리 여부를 판단하는 진단기술을 구현하기 위해서는, IoT 전력량계를 통해 수집된 데이터를 다양한 머신러닝 알고리즘에 입력하여 관리에 필요한 결과 지표를 도출할 수 있어야 한다. 이런 기능을 제공하는 IoT 수집 시스템의 모니터링 및 자동 진단 시스템은 데이터 수집, 분석을 신속하게 수행할 수 있다. 데이터 수집과 고속, 대용량 데이터 저장에 적합한 분산 파일시스템과 고속 시계열 기능을 기반으로 의존도, 유사도 분석실행을 제공하는 고속 전처리 시스템의 특징을 제안한다.

Particulate Matter Monitoring System Based on IoT for Construction Sites (IoT 기반의 건설현장 미세먼지 모니터링 시스템 개발에 관한 연구)

  • Kim, Hyunsik;Tae, Sungho
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2021.11a
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    • pp.40-41
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    • 2021
  • Recently, particulate matter(PM) caused by internal factors such as industrialization and urbanization as well as external factors such as Asian dust is a serious problem in Korea. In particular, while the emission due to construction appears to be very serious among the internal factors, it is necessary to manage PM in consideration of the characteristics of construction sites. Accordingly, in this study, a PM management system suitable for construction sites was developed to reduce civil complaints caused by PM and to minimize damage to field workers and nearby residents by supporting the fine dust management system of the state and local governments. The factors to be considered when measuring PM due to the specificity of construction sites were considered, and the system components were developed based on the considerations. As a result, an IoT based construction site PM monitoring system (CPMS) that integrates each component was established.

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Under-Thread Sewing Yarn Sensing Monitoring System of Sewing Machine for Smart Manufacturing (스마트 제조를 위한 봉제기의 밑실 센싱 모니터링 시스템)

  • Lee, Dae-Hee;Lee, Jae-Yong
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.1
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    • pp.53-60
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    • 2018
  • The ICT concept has been introduced to realize a highly productive smart factory and respond to the demand for small quantity and mass production between textile processes. ICT convergence monitoring system that can produce high productivity textile products by improving product development period, cost, quality and delivery time through ICT based production and optimization of manufacturing process is needed. In this paper, we propose and implement a system design that senses the amount of remaining sewing material using a non-contact sensor that can be mounted on a sewing machine and displays it on a display using IOT-based LATTE-PANDA board.

Implementation of Infant Monitoring System using AHRS Algorithm (AHRS 알고리즘을 이용한 영유아 모니터링 시스템 개발)

  • Kim, Eun;Kim, Seokhoon;Kim, Dae-Young
    • Journal of Platform Technology
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    • v.6 no.4
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    • pp.41-48
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    • 2018
  • Accidents involving infants and toddlers are occurring frequently, and if elementary measures are not smooth, they can lead to even greater accidents. Rapid elementary measures require an appropriate monitoring system, and it is necessary to build a system that can accurately monitor the child's living condition and notify the emergency situation immediately. Recently, with the development of IoT technology, various types of sensors are being developed in a very small size, and development of wearable devices connected with smart phones is accelerating with the development of smart phones. By using these wearable devices, it is possible to reduce the risk of infant accidents and to respond promptly in case of an accident. In this paper, we propose a wearable system that can monitor the infant condition and present a service to prevent infant accidents.