液压支架工况综合评价与预警模型研究及应用

Research and application of comprehensive evaluation and early warning model of hydraulic support working condition based on working resistance analysis

针对液压支架工况不良导致支架支护能力得不到有效发挥并容易诱发顶板灾害的问题,为实现支架工况的有效监测预警,分析了液压支架工况的主要影响因素,通过液压支架工作阻力数据挖掘获取了反映液压支架工况的多个关键指标信息,确定了支架工况综合评价及实时预警的6个主要指标,即:支架初撑力不合格比例、工作阻力高报比例、安全阀开启比例、支架不保压比例、不平衡比例、工作阻力不合格比例。根据模糊数学隶属度综合评价方法建立了支架工况多参量综合评价与预警模型,将支架工况按照良好、中等、较差、很差划分为4个等级,给出了液压支架工况等级隶属度区间和各预警指标参数对应的隶属度函数,并基于变权理论确定了各预警指标的变权重系数,突出了预警指标状态量变化对支架整体工况的影响,最终得出支架工况的综合评价与预警等级,并在系统预警界面以雷达图的形式展示支架工况预警信息。该预警模型在KJ21顶板灾害监测预警系统中得到开发与现场应用,验证了该支架工况评价体系的合理性,有效提升了综采工作面液压支架支护质量。

In view of the problem that the supporting capacity of the hydraulic support cannot be effectively exerted due to the poor working conditions of the hydraulic support and it is easy to induce roof disasters,in order to achieve effective monitoring and early warning of the support working conditions,the main influencing factors of the working condition of hydraulic support wereanalyzed,andseveral key indicators reflecting the working conditions of the hydraulic support were obtained through the analysis of the working resistance of the hydraulic support,and six main indicators for the comprehensive evaluation and real-time early warning of the support working conditions were determined,namely:unqualified ratio of setting force of hydraulic support,high reporting ratio of working resistance,opening ratio of safety valve,ratio of support not maintaining pressure,unbalanced ratio,unqualified working resistance ratio.According to the fuzzy mathematics membership comprehensive evaluation method,the multi-parameter comprehensive evaluation and early warning model of support working condition was established.The support working condition was divided into four grades according to good,medium,poor and very poor,andthe membership degree interval of hydraulic support working condition grade and the membership degree function corresponding to each early warning index parameter wasgiven.Based on the variable weight theory,the variable weight coefficient of each early warning index was determined,and the impact of the change of the state quantity of the early warning index on the overall working condition of the support was highlighted.Finally,the comprehensive evaluation and early warning level of the working condition of the support were obtained,and the early warning information of the working condition of the support was displayed in the form of a radar chart in the early warning interface of the system.The early warning model has been developed and applied in KJ21 roof disaster monitoring and early warning system,which verified the rationality of the support working condition evaluation system and effectively improved the support quality of hydraulic support in fully mechanized mining face.