作者: Chiara Bertolin , Alessia Caratelli , Michela Grimaldi , Maurizio Massi
DOI: 10.1016/J.IJDRR.2021.102122
关键词: Jerk 、 Cloud computing 、 Tree (data structure) 、 Wind speed 、 Computer science 、 Archaeology 、 Risk analysis 、 Warning system 、 Weather station 、 Risk assessment
摘要: Abstract This study shows the implementation of a new risk assessment monitoring tool, to be applied prevent trees failure and significant damage people structures, in an urban archaeological site i.e. Colosseum's Archaeological Park Rome. Here, network ten TreeSavers has been recently installed allow real-time continuous static dynamic trees. These data, also linked with readings collected from local weather station, are transmitted online data storage cloud post-processed. The objective, this post-processing phase, is that system effectively works autolearning capabilities “become experts” thus preventing dangerous situations. In we present preliminary analyzed by relating maximum acceleration on x-, y- z-axis wind speed gust events. analysis was performed considering Drag Coefficient CD Jerk values. first represents drag force generated plants; second describes effect accelerations rigid bodies. deepened understanding Jerk, as novel hazard index, able categorize under loads for control prediction tree fails. potentiality effective tool early warning alarm which may reduce falling consequent reduction especially sites.