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GlobVision recently performed a short contract for the Régie des Installations Olympiques (RIO). The purpose was to find a better, safer, and less expensive way to manage the complex structure of the roof of the Olympic Stadium. The project’s importance was underlined by relatively harsher and wildly varying winter conditions prevalent in Montreal.
The critical success factor for the project was GlobVision’s ability to separate the effects of various parameters – precipitation, temperature, wind, and snow accumulation – on the network of sensors. The benefits of the solution were measured by the minimization of risk to human life, and reduction of costs reduction through optimal snow melting decisions.
Structures, such as bridges, dams, tunnels and even skyscrapers, are also subject to multiple environmental parameters that make comprehension of sensor data problematic. In this project and in other related ones GlobVision has been able to demonstrate that its competencies in extracting complex information from data is unrivalled, and it is capable of supplying intelligence to health management solutions for critical structure monitoring.
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