工矿自动化2025，Vol.51Issue(3)：16-21,6.DOI:10.13272/j.issn.1671-251x.2025020070
基于割煤循环智能检测的工作面来压判识方法
Face pressure identification method based on intelligent detection of coal cutting cycles
摘要
Abstract
The method for identifying face pressure based on hydraulic support working resistance data needs to address two issues:first,how to extract the cycle-end resistance data from large volumes of working resistance data,and second,how to effectively utilize the extracted cycle-end resistance data to determine whether face pressure is occurring.Most existing methods for extracting cycle-end resistance rely on fixed rules and empirical parameter values,which have low accuracy and poor adaptability in complex working face environments.To address this issue,an intelligent detection method for face pressure identification based on coal cutting cycles was proposed.Coal cutting cycle detection was transformed into a binary classification problem,using a support vector machine(SVM)classifier to intelligently detect the end time of coal cutting cycles,automatically identifying the end of each coal cutting cycle.After obtaining the end times of all coal cutting cycles,the cycle-end resistance data for each support was extracted.Data fusion was performed to generate a single sequence of data that reflects the overall pressure state of the working face.Face pressure identification was then made based on a pressure judgment formula.Experiments were conducted on hydraulic support working resistance data from a working face in a non-contiguous coal mine.The results showed that the proposed method had precision,recall,and F1 scores of 85.91％,81.84％,and 83.83％,respectively,for coal cutting cycle detection,and precision,recall,and F1 scores of 79.43％,78.76％,and 79.09％,respectively,for face pressure identification These results are superior to the sliding window extreme value method and threshold method,demonstrating significant advantages in cycle-end resistance identification and face pressure judgment.关键词
顶板灾害防控/来压判识/割煤循环智能检测/支持向量机/循环末阻力Key words
roof disaster prevention and control/face pressure identification/coal cutting cycle intelligent detection/support vector machine/cycle-end resistance分类
矿业与冶金引用本文复制引用
罗香玉,康林星,南添松,解盘石,伍永平..基于割煤循环智能检测的工作面来压判识方法[J].工矿自动化,2025,51(3):16-21,6.基金项目
陕西省杰出青年科学基金项目(2023-JC-JQ-42) （2023-JC-JQ-42）
陕西省教育厅青年创新团队科研计划项目(23JP098) （23JP098）
陕西省秦创原"科学家+工程师"队伍建设项目(2024QCY-KXJ-033). （2024QCY-KXJ-033）
