Real World Implementation Of Belief Function Theory To Detect Dislocation Of Materials In Construction

The results indicate the potential of the Belief_function based algorithm to detect object dislocation as well as the location estimation problem by fusing the data from a simulation model.

Abstract

Dislocations of construction materials on large sites represent critical state changes. The ability to detect dislocations automatically for tens of thousands of items can ultimately improve project performance significantly. A Belief_function -based data fusion algorithm was developed to estimate materials locations and detect dislocations. Dislocation is defined as the change between discrete sequential locations of critical materials such as special valves or fabricated items, on a large construction project.