Between artificial intelligence, IoT ad digital twin
In its digital inventory, ARGO collects and manages structural data about bridges, overpasses, viaducts and tunnels in real time.
The installation of IoT sensors allows data to be collected to assess and monitor the “health” of the works. Drones equipped with extremely high resolution video cameras and LIDAR lasers perform a three-dimensional scan of the work, transforming it into millions of georeferenced points in space that can be associated with each individual component.
The simplified BIM, generated by the data contained in the digital inventory, supports the operator in the digital examination of the work during inspection. It is supported by the 3D Digital Twin, obtained by dressing the point cloud with the photographs taken by drones.
The operator can carry out remote inspections thanks to the careful reconstruction provided by the digital twin and the application of artificial intelligence algorithms that allow for the timely analysis of the drones’ photographs and the identification of the defects associated with the infrastructure components.
The Mobile App assists the inspector in field and remote activities, entering the defect (or lack thereof) for each infrastructure component, supported by photographs and a precise positioning on the individual components of the work.
Advantages for managers and benefits for drivers
works under concession accurately and continuously
Governance and control
of the data generated by the assets
of monitoring, inspection and maintenance
MOVYON technological innovation on board the solution
The IoT sensors installed on the infrastructures monitor their “health”. They generate data that is automatically recorded on the platform and flows into the system in aggregated form, providing precise indicators for assessment. The possibility of drill-down is envisaged may be performed on the individual components of the work.
Digital inventory of works
Tis is the digital archive based on IBM Maximo technology, integrated in Italy with the MIT AINOP system. It allows for the definition of data governance instruments and data control, quality of information and processes. The data represents the asset and its parts: attributes, classifications and placements identify the work in its context.
Building information modeling (BIM)
The simplified Building Information Modelling is generated starting from the data entered in the database. It supports the operator in examining the asset during the inspection process.
Mobile App for the digital inspection
Through the app, the operator examines the work and anters all the inspection information: from the defect detected to the relevant photographs and data on the precise positioning. The operator checks that all components are inspected before the process is concluded. As a results, the activity, in compliance with the guidelines provided by the Higher Council of Public Works, continues safely.
DIgital Twin and Artificial Intelligence
The 3D digital twin of each asset. It is carried out by using drones equipped with video cameras and extremely high resolution LIDAR lasers that perform a three-dimensional scan of the work in millions of georeferenced points associated with the relevant real photographs. The result: will be a careful, all-digital reconstruction of the infrastructure.
The figures of the ARGO platform
technologies integrated into the platform
of mapped motorway network
structures with a Digital Twin