Abstract
Abstract. We present a comprehensive review of several variometric tests recently carried out on a home-made measurement system composed of a tern of low-cost accelerometer sensors of MEMS (Micro-Electro-Mechanical Systems) type equipped with autonomous electric supply and wireless transmission. The most important parameters characterizing the systematic errors, i.e. bias, scale factor and thermal correction factor, have been evaluated by calibration tests based upon the so-called "six -positions" static test proposed by the IEEE 517 Standard. In this way the system optimal configuration has been defined in terms of data acquisition frequency and of scale factor. In addition to such tests, partly documented elsewhere, the results of some sensitivity tests on the influence of external environmental factors are also presented. With the aim of employing the proposed MEMS-based system as a device for monitoring the onset of slope landslides, some further tests have been carried out in order to measure the inclination of rigid objects which the sensors have been fixed to. The most significant results of the tests are illustrated and discussed.
Highlights
Accelerometer sensors based upon the MEMS (Micro-ElectroMechanical Systems) technology have recently found a remarkable diffusion in geomatics mainly for their light dimensions, weight and cost (Jekeli, 2001; Khichar & Shivanandan, 2002)
The static test has been repeated by placing the tern of accelerometers in open field in order to characterize the behaviour of the sensors as function of external temperature; during the test the value of 20°C has been recorded
Experimental tests carried out at the Cassino University have proved the correct functioning of the SMAMID measurement system, i.e. a system composed of an independent Functional Unit (FU), each one equipped with a tri-axial accelerometer, controlled in a wireless mode by a personal computer
Summary
Accelerometer sensors based upon the MEMS (Micro-ElectroMechanical Systems) technology have recently found a remarkable diffusion in geomatics mainly for their light dimensions, weight and cost (Jekeli, 2001; Khichar & Shivanandan, 2002) They can determine acceleration, speed, positioning and asset of an object or a platform continuously or at discrete instants of time. The formers have been used to evaluate the most relevant parameters of systematic errors (bias, scale factor, thermal correction parameter) and accidental errors (noise) which are expressed in terms of standard deviation The latter aim at estimating the variability of the offset and of the scale factor as function of different external environmental factors such as temperature and supply voltage. In particular the values of inclination have been computed by using methods which combine the values of acceleration acquired on one or two axes of the sensor
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
