DAGUWOR K DENNIS DENNIS / Federal University of Technology; Akure; Nigeria
Thomas Afeni / Federal University of Technology Akure
Abstract
Monitoring in mining is widely carried out using total station instrument. But activities are dominated by temporary obstructions in the form of moving equipment, dust, human, branches, and vibrations both at day and night thus posing unavoidable line-of-sight challenges that necessitate predictable investigation. Therefore, in this research, selected temporary obstructions (metal plate, wooden board, leaf, nylon, rubber and glass) delay-time and distance effects were investigated to ascertain the impact on accuracy of distance measurement in prism monitoring surveying. Using NTS-370R South Total Station the result revealed that obstruction distance and delayed time are significant when monitoring with prism. Accuracy improved with increasing distance but decreased with increasing delayed-time. Thus, it was concluded that, for monitoring operation particularly involving lives, surveying data must be subjected to the correction equations; obstructions kept as far as possible from the telescope at the same time maintaining a minimum delayed time. Error prediction and correction models using linear regression analysis were developed and validated. The models were generated by analyzing the RMSE within measured distances relative to the true distances at each obstruction interval and delayed-time. However, further research is required with an automated obstruction system which could reduce potential human error.