Disaster can be categorizes into natural disaster and human-caused disaster in terms of factor. It can be said that “Research on Disaster Control of Mining” is a complex andintertwined disaster control informatics which has factors of natural disaster and human-caused disaster. It has a high risk and potential to become a large scale disaster, once it occurred. “Development of Underground Mine Communication and Monitoring Systems by Using ZigBee Technology” is the research which our research group are now focusing on. Data transfer and communication systems are first priority for further development of geotechnical monitoring. Wireless sensor networks (WSNs) have been widely employed in industries and the military with multiple applications to monitor environment, track target and telecommunicate data. Recently, WSNs have also been used for communication and monitoring systems in underground mines. In this study, a proposed WSN system of ZigBee network as one of the WSNs is investigated in underground mines regarding communication and monitoring systems to resolve operational challenges such as safety and gathering geotechnical information. In this research, the intensity of received signal strength indication (RSSI) between wireless nodes within ZigBee network was investigated. Also, the optimal arrangement of ZigBee wireless nodes on the basis of radio wave attenuation and possibility of stable wireless communications which will be used for gathering some significant geotechnical information such as seismic, deformation and pressure were investigated. The experimental results indicate that a secure and stable ZigBee wireless network can be developed to overcome mentioned operational challenges in underground mining. It is obvious that this proposed system helps further progress in rock mechanics and geotechnical fields.
Also, the ground vibration induced by civil and mining activities have been forcusd, recently. With this project, we aim at monitoring the peak particle velocity at a number of pre-defined locations. The measured peak particle velocity values will then be used to spatially map the ground vibration intensity across the whole town. The original contribution of this project would be the use of geo-statistics and geographic information system (GIS) to predict the ground vibration intensity induced by blasting activities and to show the zones where the seismic waves get attenuated and amplified due to the changing geology. In addition, the probability maps will be generated to indicate the zones where the peak particle velocity might exceed the permissible limits according to the countries. Upon successful completion of this project, the blasting engineers will be able to display the prediction probability maps on Google Earth and identify the locations which are prone to ground vibration.