Pilot 1: Ruvo di Puglia

Hello, openDBL community,

We are creating openDBL and will test our methodology in 4 pilot locations (Germany, Greece, Italy, and Spain), on six buildings belonging to three Municipalities and one private company (Manufacturing of door components).

In the EU, Municipalities own and operate several typologies of buildings. Our three Municipalities manage some 220 buildings and our choice refers to their most common typologies (offices, schools, and kindergartens).

The first pilot case in Ruvo di Puglia. Ruvo di Puglia is an Italian town of 25.000, part of the Alta Murgia National Park, which houses an operational office. It is also home to the Jatta National Archaeological Museum which has increased the fame of the city thanks to the thousands of archaeological finds of the Hellenistic age preserved there and is also the third largest municipality in the metropolitan area of Bari and is a city of agriculture and art.

The openDBL pilot concerns the Giovanni Bovio School School, a historic monument in the center of the town, built in the 1930s and with a surface of ca. 6.000 sqm on a single floor.

The recently appointed new administration wants to embrace the digital monitoring and management of buildings. Collecting technical information in openDBL would allow time savings and better maintenance. The Council will use openDBL as a prototype for the development and adoption of a standardized approach for the collection, management, and interoperability of data, and for greener operation of its assets.

After having received the formal approval from our PO, we decided to carry on We have used mobile and drone-driven laser scanners to create point clouds and photos using an approach in 5 steps.

PHASE 1 Capture 6000 m2 of the building in 1 day with the Geoslam Zeb Horizon mobile laser scanner. The point cloud size is about 2 billion points.

PHASE 2 Data processing: 11 scans were performed and processed.

PHASE 3 Generate paths and trajectories. Thousands of 360* photos were taken during the scanning activities.

PHASE 4 Colored the point clouds with the RGB data acquired thanks to the integrated ZEB Vision camera.

PHASE 5 Aligned and merged the various scans to generate a unique point cloud.

Stay tuned for further updates as we progress through this innovative journey of transforming building management practices across Europe.