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

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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Main Author: Abbas, Mohd. Azwan
Format: Thesis
Language:English
Published: 2006
Subjects:
H Social Sciences (General)
QA76 Computer software
Online Access:http://eprints.utm.my/id/eprint/2134/1/MohdAzwanAbbasMFGHT2006.pdf
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spelling my-utm-ep.21342018-06-13T07:05:34Z Pembangunan perisian bagi perolehan data cerapan dari robotic total station (LEICA TCA) secara masa hakiki 2006-10 Abbas, Mohd. Azwan H Social Sciences (General) QA76 Computer software 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 2006-10 Thesis http://eprints.utm.my/id/eprint/2134/ http://eprints.utm.my/id/eprint/2134/1/MohdAzwanAbbasMFGHT2006.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Geoinformation Science and Engineering; Department of Geomatic Engineering Faculty of Geoinformation Science and Engineering; Department of Geomatic Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic H Social Sciences (General)
QA76 Computer software
spellingShingle H Social Sciences (General)
QA76 Computer software
Abbas, Mohd. Azwan
Pembangunan perisian bagi perolehan data cerapan dari robotic total station (LEICA TCA) secara masa hakiki
description 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
format Thesis
qualification_level Master's degree
author Abbas, Mohd. Azwan
author_facet Abbas, Mohd. Azwan
author_sort Abbas, Mohd. Azwan
title Pembangunan perisian bagi perolehan data cerapan dari robotic total station (LEICA TCA) secara masa hakiki
title_short Pembangunan perisian bagi perolehan data cerapan dari robotic total station (LEICA TCA) secara masa hakiki
title_full Pembangunan perisian bagi perolehan data cerapan dari robotic total station (LEICA TCA) secara masa hakiki
title_fullStr Pembangunan perisian bagi perolehan data cerapan dari robotic total station (LEICA TCA) secara masa hakiki
title_full_unstemmed Pembangunan perisian bagi perolehan data cerapan dari robotic total station (LEICA TCA) secara masa hakiki
title_sort pembangunan perisian bagi perolehan data cerapan dari robotic total station (leica tca) secara masa hakiki
granting_institution Universiti Teknologi Malaysia, Faculty of Geoinformation Science and Engineering; Department of Geomatic Engineering
granting_department Faculty of Geoinformation Science and Engineering; Department of Geomatic Engineering
publishDate 2006
url http://eprints.utm.my/id/eprint/2134/1/MohdAzwanAbbasMFGHT2006.pdf
_version_ 1747814399702204416

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