• Title/Summary/Keyword: 푸쉬 알람

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Improvement Model of Quality Management System of Construction Site Based on RESTful-API (RESTful-API 기반의 건설현장 품질관리 시스템 개선 모델)

  • Park, Koo-Rack
    • Journal of the Korea Convergence Society
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    • v.11 no.3
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    • pp.61-66
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    • 2020
  • Modern society is developing rapidly due to the convergence of industry and IT technology. In that case, the role of construction work that provides basic infrastructure can be very large. Recently, as construction work becomes more complicated, larger, and more advanced, the importance of management, such as system improvement for quality improvement, has become even more important. However, when a quality control problem occurs at a construction site, much time is required to solve the problem. In order for a construction project to be successful, various systems need to be organically connected and able to manage optimal decisions. In this paper, provide a quality control model using GCM push alarm service based on RESTful_API. The proposed model is a model that can be used by construction company quality control rooms and project managers for decision making. When applied to construction site project management, it is expected that more efficient and safe construction management will be possible.

Fabrication of smart alarm service system using a tiny flame detection sensor based on a Raspberry Pi (라즈베리파이 기반 미소 불꽃 감지를 이용한 스마트 경보 서비스 시스템 구현)

  • Lee, Young-Min;Sohn, Kyung-Rak
    • Journal of Advanced Marine Engineering and Technology
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    • v.39 no.9
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    • pp.953-958
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    • 2015
  • Raspberry Pi is a credit card-sized computer with support for a large number of input and output peripherals. This makes it the perfect platform for interaction with many different devices and for usage in a wide range of applications. When combined with Wi-Fi, it can communicate remotely, therefore increasing its suitability for the construction of wireless sensor nodes. In addition, data processing and decision-making can be based on artificial intelligence, what is performed in developed testbed on the example of monitoring and determining the confidence of fire. In this paper, we demonstrated the usage of Raspberry Pi as a sensor web node for fire-safety monitoring in a building. When the UV-flame sensors detect a flame as thin as that of a candle, the Raspberry Pi sends a push-message to notify the assigned smartphone of the on-site situation through the GCM server. A mobile app was developed to provide a real-time video streaming service in order to determine a false alarm. If an emergency occurs, one can immediately call for help.