Longbing Yang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Longbing Yang has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Longjun Dong
School of Resources and Safety Engineering, Central South University, Changsha 410083, China
1 shared publication - Shenglan Li
School of Resources and Safety Engineering, Central South University, Changsha 410083, China
1 shared publication - Xiaofeng Huang
School of Resources and Safety Engineering, Central South University, Changsha 410083, China
1 shared publication
Latest Publications
- Open Access
Optimization Research on Sensor Network Layout for Microseismic Monitoring Based on Location Error Analysis
This study develops a numerical framework for optimizing microseismic sensor network layouts in the Woxi Mine. Three candidate deployment schemes were evaluated by combining synthetic arrival-time perturbations with the classical Geiger localization algorithm under different uncertainty levels. The results show that localization performance is governed primarily by sensor layout geometry, which controls both the magnitude and the spatial distribution of localization errors. Event-wise robustness analysis indicates that the layout with the lowest overall localization error is not necessarily the one with the strongest spatial enclosure. These findings provide a geometry-based reference for the preliminary design and subsequent refinement of a mine-scale microseismic monitoring system in deep underground engineering.
Open AccessOptimization Research on Sensor Network Layout for Microseismic Monitoring Based on Location Error Analysis
This study develops a numerical framework for optimizing microseismic sensor network layouts in the Woxi Mine. Three candidate deployment schemes were evaluated by combining synthetic arrival-time perturbations with the classical Geiger localization algorithm under different uncertainty levels. The results show that localization performance is governed primarily by sensor layout geometry, which controls both the magnitude and the spatial distribution of localization errors. Event-wise robustness analysis indicates that the layout with the lowest overall localization error is not necessarily the one with the strongest spatial enclosure. These findings provide a geometry-based reference for the preliminary design and subsequent refinement of a mine-scale microseismic monitoring system in deep underground engineering.