Existing infrastructure cost effective informative modelling with multisource sensed data: TLS, MMS and photogrammetry

Current practice in large infrastructure management requires new procedures for cost-effective maintenance and safe operation. In this sense, the availability of new surveying, inspection and monitoring procedures as well as new instruments can play a significant role in securing a fundamental asset with an affordable cost. Indeed, inspection and monitoring with automated or semi-automated instruments can guarantee a significant reduction of time in operations that are currently manual, risky and time-consuming. The availability of new sensing platforms and instruments like lightweight mobile mapping systems and drones is fundamental for rethinking current survey and inspection practice. However, their performance, in terms of metric accuracy and reliability, in real applications is still limited. On the other hand, the acquisition of primary data is only the first step of the maintenance workflow. Indeed, even if the adoption of informative content models for structural health monitoring (SHM) for large infrastructures clearly presents important advantages compared with standard management; the adoption of proper tolls for such complex infrastructures poses some issues that need to be solved to develop smooth management and maintenance workflows. This paper presents a methodology for the generation of a detailed informative model starting from multi-sources data: terrestrial laser scanning (TLS), Mobile Mapping Systems (MMS) and photogrammetry. The integration of those different techniques is discussed and a comparative analysis is carried out. The enrichment of the informative model with further data coming from load testing and inspection is presented to create a unique informative platform suitable for different end-users involved in maintenance operations.