Abstract: The present invention discloses a system and method for structural health monitoring to identify structural anomaly and to predict structural integrity of civil structures on real time basis by evaluating feasibility of wireless structural health monitoring (SHM) of civil structures encompassing internet-of-things (IOT) and machine learning models (8). The system includes a sensor (S) connected to node processor (1, 1a, 1b, 1c, . . . 1n), physical device gateway (2), cloud gateway (4), trigger function software client (5), graphic user interface or dashboard (9) and communication module (C). The system evaluates incoming real-time engineering data on the cloud gateway (4) and allows a trigger function to route the engineering data to cloud storage (6b) and cloud analytics (6a) and alert system (6c). The system gives a single conditional statement in real-time by correlating predictions of multiple structural integrity parameters of the civil and mechanical engineering structures.

Abstract: The present invention discloses a system and method for structural health monitoring to identify structural anomaly and to predict structural integrity of civil structures on real time basis by evaluating feasibility of wireless structural health monitoring (SHM) of civil structures encompassing internet-of-things (IOT) and machine learning models (8). The system includes a sensor (S) connected to node processor (1, 1a, 1b, 1c, . . . 1n), physical device gateway (2), cloud gateway (4), trigger function software client (5), graphic user interface or dashboard (9) and communication module (C). The system evaluates incoming real-time engineering data on the cloud gateway (4) and allows a trigger function to route the engineering data to cloud storage (6b) and cloud analytics (6a) and alert system (6c). The system gives a single conditional statement in real-time by correlating predictions of multiple structural integrity parameters of the civil and mechanical engineering structures.