Structural health monitoring (SHM) is of great significance for post-earthquake damage assessment. Smartphone-based monitoring techniques provide the possibility to perform crowdsensing for all buildings in urban regions after an earthquake. However, this idea still faces many difficulties and is hard to realize. Fortunately, the development of game engines provides the opportunity for simulating this kind of experiment. The main objective of this study was to use Unity to simulate the whole process when a city is struck by an earthquake that consists of one main shock and one aftershock. During the emergency response, the citizens and the “city brain” in Unity, named Ground Eye, cooperate to finish the task of taking refuge and collecting data for regional damage assessment. Some basic assumptions were made first. Then the city model was established in Unity, and the behaviors of the citizens were directed by the behavior tree artificial intelligence (AI). OpenSees was utilized to determine the monitoring demand and simulate the monitoring results. A GUI was built to exhibit the data during the whole process. The results show that the evacuation and monitoring plan is feasible. The simulation framework presented in this paper can be used in other SHM application scenarios.
The driving state of taxi drivers relate to passengers and the driver's life safety. So the study of taxi drivers' fatigue driving is of great significance, especially detection fatigue and fatigue ease. The taxi drivers usually have a short time rest after a long time driving. The rest mode can be divided into two kinds. One is relaxing in a taxi, another is outside a taxi. We have studied the two different relaxing ways in this paper. We have gathered the EEG signals of eight taxi drivers. Then we extracted d, h, a and b rhythm from drivers' EEG signals using wavelet packet decomposition. We judged the effective ways to alleviate fatigue through comparing the EEG fatigue state index F. The results show that relaxing outside a taxi is more effective than in a taxi after a long time driving.
In order to ensure the safe operation of cranes, from the perspective of the definition of inherent risk, the evaluation index of inherent risk of cranes was established. The interval hierarchy analysis method with better fuzziness was used to determine the index weights, determine the index scores of different levels, and use the integrated index method to establish a grading model, which was divided into four inherent risk levels according to the risk critical value. Application of the model to two cranes for example analysis, the results show that the model has good accuracy. The model provided a more scientific method for grading the inherent risk of cranes, which in turn provided a method of reference for grading the inherent risk of other types of special equipment.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.