Abstract
TheMetal Gantriesis one of the main structural compositions of gas stations, bridges and sky spiders. However, such structures are vulnerable to environmental, temporal and anthropological demands, generating wear and tear that can cause these structures to collapse.With the technological advances of the Fourth Industrial Revolution, there was a transformation of the relationship between physical space and man, called the Cyber-Physic model. This technological evolution surpassed the walls of Industries 4.0, and was also established in the civil branch, solving the problems of structural insecurity, reciprocal to the metallic portico through the Structural Health MonitoringTherefore, this research work presents an innovative proposal for the development of a Structural Health Monitoring applied to Metal Gantries with decision making based on Intelligent ComputingWith this, this work seeks not only to implement the Structural Health Monitoringto guarantee safety in metallic frames, but also to optimize its operation with decision making based on the Artificial Immune System, through the Negative Selection Algorithm. Observing the results, this work proved to be efficient, robust and economically viable, having a high performance, representing the perfect Cyber-Physic measure in the monitoring of Metal Gantries and resolution of its structural problems.
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