Towards a workflow management approach for health monitoring of bridges

Abstract

In brief, Structural Health Monitoring (SHM) refers to the storage and analysis of large amounts of sensor data associated to specific variables that indicate the condition of a civil structure, e.g. a bridge on a national highway. SHM analysis tasks typically involve the integration of different tools which may be highly heterogeneous, autonomous and physically distributed among different organizations. This paper introduces a scientific workflow management approach to model and execute strategic SHM queries that require proper integration of data generated by different software components.