Abstract
Underground mining engineers and planners in our country are faced with extremely difficult working conditions and a continuous shortage of money. Production disruptions are frequent and can sometimes last more than a week. During this time, gate road support is additionally exposed to rock stress and the result is its progressive deformation and the loss of functionality of gate roads. In such an environment, it is necessary to develop a low-cost methodology to maintain a gate road support system. For this purpose, we have developed a model consisting of two main phases. The first phase is related to support deformation monitoring, while the second phase is related to data analysis. To record support deformations over a defined time horizon we use laser scanning technology together with multivariate singular spectrum analysis to conduct data processing and forecasting. Fuzzy time series is applied to classify the intensity of displacements into several independent groups (clusters).
Highlights
Due to hard working conditions and a chronic shortage of money, the underground mining in our country is very a difficult task
In the section Materials and Methods, we describe the model of forecasting based on observed data and multivariate singular spectrum analysis
Our forecasting algorithm is based on the methodology of the multivariate singular spectrum analysis (MSSA)
Summary
Due to hard working conditions and a chronic shortage of money, the underground mining in our country is very a difficult task. Fuzzy time series is used to classify deformation data into several independent groups with respect to the magnitude of deformation intensity In this way, we are enabling underground mining engineers to develop a plan to support maintenance. Ding-Ping Xu et al [1] compared the predictions from the rock–soil composite material model, where an analytic method, along with existing data from physical model tests, was applied to acquire results Good consistency, both in terms of strength and failure mode, was provided when a comparison of these three types of information was done [1]. Obtained results show a high level of correlation of original and reconstructed series of the support deformations Based on these results, it can be concluded that the model is reliable and applicable for solving real-time problems in terms of predicting gate road support deformations
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
