Data for Safety and Productivity to Transform Construction
Complete solution of sensors connected to a Cloud application to manage the safety of operations and improve production.
CAD.42 connects the cranes for improve operational performance construction sites and capitalize data from previous projects to better plan and build future projects.
CAD.42's connected crane is also an anti-collision system compatible with all tower cranes, mobile cranes, concrete masts, cradles … The installation is done in 5 minutes per gear.
The configuration of the system is done online and adapts very quickly according to the constraints of the construction site.
Zero accidents! The most complex operations are managed by unifield, which alerts operators in the event of danger.
Master the production day by day and be alerted in real time of a drop in productivity on the site. Capitalize data to better build future projects.
The information is reliable and available at all times by the site team, the methods and the subcontractors to ensure flawless production.
They support us
The real time digital twin from CAD.42 allows us to handle safety issues but also to aggregate data automatically to imrpove our operations.
Menno Nijdam, Group HSE Manager
The implementation of this solution on site with our partner CAD.42 includes the safety approach in the model in real time. This dynamic digital twin foreshadows the construction site of tomorrow.
Pierre George, director of information systems
Thanks to the CAD.42 ecosystem, it becomes possible to ensure real-time monitoring of the construction site and to bring your digital model/avatar to life. The data thus collected in the field is also used for productivity. The solutions deployed in connection with LEAN approaches make it possible to streamline and optimize business processes.
Julien Gardette, Innovation Department
The CAD.42 automatic progress monitoring tool now makes it possible to validate, without manual action, the progress of worksite tasks. A result made possible by the connection of BIM, the crane, load recognition by machine learning and planning. Some thought about it; we did it !
Spie Batignolles press release