This paper presents various results of research on disaster prevention system using Wireless Sensor Network (WSN). Although we use the snow load sensing as a case study, the proposed system can be further easily adopted to detect other emergencies. Ongoing research on snow measurement is also briefly explained. We introduce architecture of the entire system along with our new modular WSN platform. Test results and evaluation of our WSN solution are presented as well. We verified that network performance is suitable for the purpose of Disaster Prevention system. Finally, a new data visualization framework which fulfills application specific requirements is demonstrated.
PL
W artykule opisano system ostrzegania przed katastrofami wykorzystujący bezprzewodową sieć czujników. System testowano na przykładzie obciążenia śniegiem. Wykorzystano modularną platformę sieci bezprzewodowej. (Projekt systemu ostrzegania przed zagrożeniami bazujący na bezprzewodowej sieci czujników)
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The paper presents a method for determining the optimal interval for preventive maintenance/replacement using either an age related or a diagnostic related renewal strategy. Additionally, the authors rise the question: "How does preventive maintenance influence the probability of failure and the mean life-time of preventively maintained elements of a technical system?" They answer the question using analytical and simulation computing approaches to arrive at the solution. The results are in quantitative form. giving relationships between preventive maintenance intervals and survival probability functions and mean life-time characteristics. Examples demonstrate suitability of the method for typical engineering components with Weibull life distributions. Applications offer substantial benefits to both the manufacturer and the user of technical equipment.
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