摘要
液压支架支护状态感知与数据处理是实现液压支架自适应支护及顶板灾害超前预测预警的关键,但现有技术主要是对液压支架初撑力、循环末阻力等进行统计分析,存在感知信息不充分、数据挖掘不深入、预测预警不精准等问题。分析了采动应力与顶板断裂、液压支架载荷变化之间的关系,阐述了顶板岩层断裂失稳过程的“五阶段”观点及液压支架合理工作阻力确定的“双因素”控制方法;给出了液压支架支护状态特征参量,提出了基于液压支架与围岩耦合关系的液压支架支护状态综合感知技术架构,指出非接触式传感器将是解决群组液压支架支护状态感知不充分等问题的关键;针对液压支架支护状态感知数据维度低、样本数量少、多特征参量关联的特点,提出了基于模板曲线库的液压支架支护状态感知数据分析预测思路,基于采动应力与液压支架支护状态之间的映射关系提出了顶板灾害智能预测平台技术架构,可实现液压支架异常支护工况、顶板灾害的超前预测预警。
The support state perception and data processing of hydraulic support are the key factors to realize adaptive support of hydraulic support and advance prediction and early warning of roof disasters.However,the existing technology mainly performs statistical analysis of hydraulic support initial support force and end-of-loop resistance.There are problems such as insufficient perception information,in-depth data mining and inaccurate prediction and early warning.The relationship between mining stress,roof fracture and hydraulic support load change is analyzed,and the'five-stage'viewpoint of the destabilization process of roof rock fracture and the'double-factor'control method of determining the reasonable working resistance of hydraulic support are explained.The characteristic parameters of the support state of the hydraulic support are given,and a technology architecture for the comprehensive perception of the support state of the hydraulic support based on the coupling relationship between the hydraulic support and the surrounding rock is proposed.Moreover,it is pointed out that the non-contact sensor will be the key to solve the problem of inadequate sensing of the support state of the group hydraulic support.In view of the characteristics of low dimension,small number of samples,and correlation of multiple characteristic parameters of support state perception data of hydraulic support,the analysis and prediction method of hydraulic support support state perception data based on template curve library is proposed.Based on the mapping relationship between mining stress and hydraulic support support state,the technology architecture of roof disaster intelligent prediction platform is proposed,which can realize the advance prediction and early warning of abnormal hydraulic support support condition and roof disaster.
作者
庞义辉
PANG Yihui(CCTEG Coal Mining Research Institute, Beijing 100013, China;Tiandi Science and Technology Co., Ltd., Beijing 100013, China)
出处
《工矿自动化》
北大核心
2021年第11期66-73,共8页
Journal Of Mine Automation
基金
国家自然科学基金资助项目(52004124)
中国工程院咨询项目(2020-XY-11)
中国煤炭科工集团科技创新创业专项资金项目(2021-MS001)。
关键词
液压支架
支护状态感知
数据处理
顶板灾害预测
特征参量
hydraulic support
support state perception
data processing
roof disaster prediction
characteristic parameters
