Abstract

Blasting is routinely carried out at various resource extraction sites, even in urban areas. As a consequence of this, residents around urban quarry sites are affected by ground vibration induced by blasting on a regular basis. In this study, a prediction and visualization system for ground vibrations is developed for the purpose of reducing the adverse psychological effects of blasting. The system consists of predicting ground vibration using an Artificial Neural Network (ANN) and visualizing it on an online map using Web-GIS. A prediction model using ANN that learned the optimum weight by taking 50 sets of data indicated a regression value of 0.859 and a Mean Square Error (MSE) of 0.0228. Compared with previous researches, these values are not bad results. Peak Particle Velocity (PPV) was used as a metric to measure ground vibration intensity. A color contour is generated using GIS tools based on the PPV value of each prediction point. The system is completed by overlaying the contour onto a basic map in a website. The basic map shows the surrounding area through the use of Google Maps data. This system can be used by anyone with access to the internet and a browser, requiring no special software or hardware. In addition, mining operations can utilize the data to modify blasting design and planning to minimize ground vibration. In conclusion, this system has the potential to alleviate the worries of surrounding residents caused by ground vibrations from blasting due to the fact that they can personally check the predicted vibration around their locale. Furthermore, since this data will be publicly available on the internet, it is also possible that this system can contribute to research in other fields.

Highlights

  • Blasting is one of the excavating technique and the operation that breaks rocks using explosive

  • Residents around urban quarry sites are routinely affected by ground vibration induced by blasting

  • The Mikurahana quarry site and the adjacent areas are visible through the contour background so that the residents around the quarry site can know how strong ground vibration is predicted to be in their location from the contour color at a glance

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Summary

Introduction

Blasting is one of the excavating technique and the operation that breaks rocks using explosive. By visualizing the predicted vibration intensity of the ground vibration that is to be induced by blasting on the map found in an online website, anyone can access the information with a browser, and the predicted vibration intensity of the ground vibration at each point in the vicinity of the upcoming blast can be known. Using this system, there is a possibility of reducing the mental stress experienced by the surrounding residents. Since the system is relatively eased to implement and use, it can be utilized in various fields such as operations management and further research

System Overview
Measurement of Ground Vibration and Generation of Prediction Model Using ANN
Predicted Vibration Visualization System Using Web-GIS Technology
Conclusion
Full Text
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