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Infrastructure failures have severe consequences which often have a negative impact on the society and the economy. In this paper, we propose a machine learning model to assist in risk management to minimise the cost of infrastructure maintenance. Due to the vast volume and complexity of infrastructure datasets, such problem is often computationally expensive to compute. A Bayesian nonparametric approach...
According to the temporal and dynamic characteristics of emergency knowledge, the paper, on the basis of the traditional knowledge representation model, proposes a model of emergency knowledge representation, which is “emergency conception ontology + temporal logic + process template”, to solve the problem of emergency knowledge digitization. After that, the paper constructs the framework of intelligent...
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