Time-space-energy Data Characteristics in Mining Area Disasters via Microseismic Monitoring

Abstract Mining deep metal deposits face frequent disasters such as ground pressure, and microseismic monitoring technology has been widely used. To effectively process and analyze massive and valuable microseismic data, and apply it to disaster warnings in mining sites. This article takes a copper mine in Xinjiang as an example, using microseismic monitoring technology to obtain spatiotemporal energy data information on rock mass regional failure and interpret the state and development trend of rock mass failure. Based on the on-site global microseismic data and the actual mining situation, a basic data set for mining microseismic events is constructed, and preliminary analysis is conducted to reveal the spatiotemporal energy parameter characteristics of the global microseismic data. Combined with the mine’s development, mining, and filling processes, potential high-risk areas are determined to achieve a deep interpretation of mining disasters. By studying the mechanical properties of rock masses and the spatiotemporal energy characteristics of microseismic activity, a foundation is laid for studying regional rock mass failure based on microseismic monitoring.