Pembangunan perisian bagi perolehan data cerapan dari robotic total station (LEICA TCA) secara masa hakiki

Industrial survey is one of a discipline in engineering survey that requires the highest accuracies and real time data processing. Consequently, this research concentrates on the development of a software that can receives data from robotic total station (RTS) TCA2003 in real time. This software is...

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Bibliographic Details
Main Author: Abbas, Mohd. Azwan
Format: Thesis
Language:English
Published: 2006
Subjects:
Online Access:http://eprints.utm.my/id/eprint/2134/1/MohdAzwanAbbasMFGHT2006.pdf
http://eprints.utm.my/id/eprint/2134/
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Summary:Industrial survey is one of a discipline in engineering survey that requires the highest accuracies and real time data processing. Consequently, this research concentrates on the development of a software that can receives data from robotic total station (RTS) TCA2003 in real time. This software is called RETIME (REal TIME) and was developed using Microsoft Visual Basic V6.0. RETIME software consists of the three core modules i.e. data communication with RTS TCA2003, calculation of raw data to produce 3D coordinates, and conversion of data from RETIME format into STAR*NET format. STAR*NET commercial software has been used in this research to provide adjusted data after observation is done. In this research, five comparison analyses were performed. The result from the first analysis shows the capability of RETIME to receive true data from RTS TCA2003 with the standard deviations of horizontal angle (0.753�), zenith (0.816�) and distance (sub mm) smaller than APSWin V1.42. Least square estimation (LSE) analysis was used in the second analysis to evaluate RETIME data observation. The use of standard deviation values, which are 1.5� for angle and 1.1mm for distance, resulted in LSE analysis passing chi square test with five percent (0.05) significance level. Results from calculation comparison with other programming languages in the third analysis shows Microsoft Visual Basic V6.0 is capable of doing calculation for this research. The fourth analysis which used APSWin V1.42 data observation as reference proved the ability of RETIME to identify target movement. For the fifth analysis, observations were done using RTS TCA1102 and TCA1103 which proved the ability of RETIME to receive data from all RTS TCA series. Results from the entire analyses show that RETIME is suitable for industrial survey purposes