Embedded data acquisition platform for low speed automated surface measurements on asphalt.

摘要

The study is to be performed with the main goal of analyzing the existing portability and scalability problems of the existing Road profile measurement for TXDOT and improving it by making a system which is much more scalable and portable.;Along with the above, another important aspect of this research study is to develop an algorithm using a new technique based on a different type of sensor viz. 3-Axis Accelerometers and compute an estimate for the IRI (International Roughness Index) using the newly obtained data from our research and previously available IRI data from earlier research efforts.;The system would comprise of a central computing unit viz. Intel Galileo which will run an Operating System [Embedded Linux] which in turn will run the software application and device drivers needed to monitor, control and process the data available from the accelerometer. The hardware interface and design for the above is also within the scope of this research. A low speed wirelessly controlled, automated mobile unit was also designed to mount the sensor apparatus.;The main parameter we are aiming at estimating from the above exercise is the International Roughness Index which helps in the determination of the surface characteristic and thus define the profile information.