Artificial adaptive structures are systems which react on different environmental conditions. Bridges may dampen oscillations caused by heavy wind load, while high buildings may react to static loads from snow or much more dynamic ones, such as earthquakes. To interact, adaptive systems need control systems which control the actuators by measuring sensory input parameters (length, stress, deformation etc.). We realize a system where the sensory input comes from an image based optical camera system feeding the control system. We show first results for a holographic multipoint-based system for obtaining fast and highly accurate position measurement / deformation analysis with high accuracy at multiple spatial positions.
This manuscript gives an overview of the multipoint method and the development of an easy to use measurement system which measures the deformation of large buildings. The multipoint method has previously been tested1, 2 and used mainly under controlled laboratory conditions (e.g. indoors). Difficulties are introduced when this method is used outdoors, mainly because of the increased measurement scale and the uncontrolled environment. Differences in air pressure due to convection or wind, as well as fog or rain can cause severe perturbations to the light which propagates towards the sensors. Compared with existing systems, such as laser trackers, our system does not need to scan the building, which leads to much higher temporal resolution, which in turn can be used to achieve a reduced statistical measurement uncertainty (averaging in time).
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