Design and Implementation of an Integrated Management System for Backfill Experimental Data. (22nd March 2022)

• Record Type: Journal Article
• Authors: Kou, Yunpeng; Liu, Yuhang; Li, Guoqing; Hou, Jie; Luan, Liming; Wang, Hao
• Other Names: Guo Lijie Academic Editor.
• Is Part Of: Advances in civil engineering. Volume 2022(2022)
• Publication Date: 2022-03-22
• Subjects: Civil engineering -- Periodicals; Civil engineering; Periodicals; 624
• DOI: 10.1155/2022/1876435
• Languages: English
• ISSNs: 1687-8086

Abstract

Abstract : With the increase in environmental awareness worldwide, the filling mining method has attracted extensive attention because this method can realize safe and green mining in underground metal mines. Recycling waste tailings in stopes to control underground rock movement, and surface settlement can reduce waste environmental pollution while ensuring mining safety. Although many test data are required to support the formulation of the mine backfill scheme, the advanced management tool of backfill test data is insufficient. In this study, a new data management method that is suitable for backfill experiments is proposed. First, this study analyses the main system requirements, including experimental business process modeling, experimental process combing, and a multidimensional query of experimental data. Then, the backfill test business flow and data flow are summarized to establish the backfill test business model and experimental index system. Then, many system functions are designed, including backfill experiment management, experimental data query, backfill knowledge maintenance, and system management. Finally, a backfill test data management system is developed based on B/S architecture. Developing a data interface, having a built-in test formula and customizing a multidimensional data analysis enable the system to solve the problems in data collection, data accounting, and data analysis. After being put into use in the Backfilling Engineering Laboratory of a group in Shandong, this system improved the data-sharing rate and utilization rate and provided a convenient data management tool for the laboratory.