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现代矿业 ›› 2023, Vol. 39 ›› Issue (03): 254-258.

• 实用技术 • 上一篇    

基于属性识别的充填管道磨损风险评价模型研究

秦秀合   

  1. 招金矿业股份有限公司夏甸金矿
  • 出版日期:2023-03-25 发布日期:2023-05-06

Study on Assessment Model of Backfill Pipeline Wear Risk Based on Attribute Recognition

QIN Xiuhe   

  1. Xiadian Gold Mine of Zhaojin Gold Industry Co.,Ltd.
  • Online:2023-03-25 Published:2023-05-06

摘要: 为有效量化分析与评估充填管道磨损风险等级,引入了属性识别理论,建立了基于改 进CRITIC法属性识别的充填管道磨损风险综合评价模型。首先,从料浆特性、管道特性、施工工艺 和充填技术4 个角度选取了包括充填骨料加权平均粒径等12 个具有代表性的影响因素,构建了多层 次综合评价指标体系;其次,采用改进CRITIC法确定指标客观权重,根据指标属性特征和分级判据, 建立测度函数,分别计算单指标属性测度和综合属性测度值,并在属性识别原则下,综合评估风险等 级;最后,以金川龙首矿、宝山铅锌矿、新城金矿3 座矿山为例,进行相关计算,判断各矿山管道磨损风 险状况,通过与未确知测度理论、可变模糊集理论评价结果进行对比,验证所建立的基于改进CRITIC 法属性识别模型在磨损风险分析与评估方面的准确性。结果显示:3 座矿山充填管道磨损风险等级 分别为Ⅱ级、Ⅲ级和Ⅲ级,该结果符合工程实际,且3 种综合评价模型评估结果相同,为充填管道磨损 风险评估工作提供了新方法。

关键词: 充填管道, 属性识别, 改进CRITIC法, 磨损风险

Abstract: In order to effectively quantitatively analyze and evaluate the wear risk grade of filling pipeline,the attribute recognition theory is introduced,and a comprehensive evaluation model of filling pipeline wear risk based on the attribute recognition of improved CRITIC method is established. Firstly,12 representative influencing factors including weighted average particle size of filling aggregate were selected from four aspects of slurry characteristics,pipeline characteristics,construction technology and filling technology, and a multi-level comprehensive evaluation index system was established. Secondly,the method of improvement CRITIC is adopted to determine the objective weight of the indicator. According to the attribute characteristics of the indicator and the grading criteria,the measure function is established,and the single indicator attribute measure and comprehensive attribute measure values are calculated respectively. Under the principle of attribute recognition,the risk level is comprehensively evaluated. Finally,taking Jinchuan Longshou Mine,Baoshan Lead-zinc Mine and Xincheng Gold Mine as examples,relevant calculation was carried out to judge the pipeline wear risk status of each mine. By comparing with the evaluation results of unascertained measure theory and variable fuzzy set theory,the accuracy of the established attribute recognition model based on Improvement CRITIC method in the analysis and evaluation of wear risk was verified. The results show that the wear risk levels of filling pipeline in three mines are respectively level Ⅱ,level Ⅲ and level Ⅲ. The results are consistent with the engineering practice,and the evaluation results of the three comprehensive evaluation models are the same,which provides a new method for the wear risk assessment of filling pipeline.

Key words: backfill pipeline, attribute recognition, improved CRITIC method, wear risk