Early warning system of shaft wall deformation based on optimization GM(1, 1)
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摘要: 针对目前煤矿井壁变形监测预警系统存在检测方法单一、不能在线监测的问题，设计了一种基于优化GM(1, 1)的井壁变形预警系统。该系统利用压力、位移和温度传感器采集井壁可压缩段的变形数据，并用优化GM(1, 1)模型对数据进行分析、拟合，通过工业以太网将温度和位移数据传送给计算机监测系统，实现了数据的实时显示、分析和预警。应用结果表明，该系统性能稳定、测量精确、预警可靠。
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关键词:
- 井壁变形 /
- 实时监测 /
- 预警 /
- 萤火虫算法 /
- GM(1, 1)模型
Abstract: In view of problems that existing monitoring and warning system of coal mine shaft wall deformation has single detecting method and has no on-line monitoring function, an early warning system of shaft wall deformation based on optimization GM(1, 1) was designed. The system uses stress, displacement and temperature sensor to collect deformation data of shaft compression section, adopts optimization GM(1, 1) model to realize analysis and fitting of the data, and uses industrial Ethernet to transmit the temperature and displacement data to the computer monitoring system, so as to realize real-time data display, analysis and early warning. The application results show that the system has stable performance, precise measurement and reliable early warning.-
Keywords:
- shaft wall deformation /
- real-time monitoring /
- early warning /
- firefly algorithm /
- GM(1, 1) model
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