| 引用本文: | 纪伦,徐琳琳,邬金麒,郝晟,周舰航,谭忆秋.沥青铺面拌合场质量状态灰色模型评测体系构建[J].哈尔滨工业大学学报,2023,55(7):1.DOI:10.11918/202201035 |
| JI Lun,XU Linlin,WU Jinqi,HAO Sheng,ZHOU Jianhang,TAN Yiqiu.Construction of grey model evaluation system for quality management of asphalt mixture mixing plant[J].Journal of Harbin Institute of Technology,2023,55(7):1.DOI:10.11918/202201035 |
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| 沥青铺面拌合场质量状态灰色模型评测体系构建 |
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纪伦1,徐琳琳1,邬金麒1,郝晟1,2,周舰航3,谭忆秋1
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(1.哈尔滨工业大学 交通科学与工程学院,哈尔滨 150090;2.天津市政工程设计研究总院有限公司,天津 300392; 3.龙建路桥集团第六工程有限公司,哈尔滨 150096)
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| 摘要: |
| 为解决当前沥青铺面拌合场质量状态测评评价方法片面、指标单一,体系不完整的问题,合理设计沥青铺面拌合场质量状态评价和预测体系,以有效推进铺面质量管理技术进步,提升质量保证能力,提高混合料品质和铺面工程服役寿命。应用灰色模型理论,通过拌合场质量状态的灰色系统特性和质量管理的技术特征分析,提出沥青铺面拌合场质量状态灰色模型评价程序；确定测评指标层级和评测参数,建立了沥青铺面工程拌合场质量状态评测二级指标体系,继而实现沥青铺面拌合场质量状态评价和预测。分析中,基于专家调查法提出指标权重赋权分析方法,获得了指标评测特征向量,计算分析了特征数据序列的参照关联系数,实现了灰色模型评测体系的构建；明确了沥青铺面拌合场质量评测结果,确定了质量状态优劣排序方法。研究结果表明:可筛选高权重的二级指标构建简化的灰色模型体系,进而提高评价区分度和效率,实现质量状态评测和质量趋势预测；分辨系数ρ可作为区分度控制的指标,适合在绩效分值测算中作为控制参数合理运用；同时,通过体系的构建及权重特征的分析,进一步明确了沥青铺面拌合场质量管理的核心内容和关键环节。灰色模型评测方法能够显著提高沥青铺面拌合场质量管理的科学性和可操作性,丰富铺面工程质量管控技术。 |
| 关键词: 沥青铺面 拌合场质量状态 灰色模型 评测体系 灰关联系数 |
| DOI：10.11918/202201035 |
| 分类号:415.1 |
| 文献标识码:A |
| 基金项目:国家自然科学基金(U20A20315)；国家重点研发计划(2016YFE0202400) |
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| Construction of grey model evaluation system for quality management of asphalt mixture mixing plant |
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JI Lun1,XU Linlin1,WU Jinqi1,HAO Sheng1,2,ZHOU Jianhang3,TAN Yiqiu1
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（1.School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China; 2.Tianjin Municipal Engineering Design & Research Institute, Tianjin 300392, China; 3.Heilongjiang Longjian Road and Bridge Sixth Limited Company, Harbin 150096, China）
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| Abstract: |
| To solve the problems of one-sided evaluation method, single index and incomplete system of the current asphalt pavement mixing field quality state, and provide a sound evaluation and prediction system, on the basis of grey model theory and the analysis of grey system characteristics of mixing plant quality management, a grey model analysis program was developed, with the quality management index system constructed, and the weighting method of index weight analyzed. In the present study, the construction method of index evaluation feature vector is proposed, the reference correlation coefficient of characteristic data sequence analyzed, and the method of quality evaluation and ranking defined. Through the analysis of grey system characteristics of mixing plant quality management, we established the grey model analysis program. Combined with specific examples, we construct the quality management index system, and analyze the weighting method of index weight. This paper puts forward the construction method of index evaluation feature vector. In this paper, the reference correlation coefficient of characteristic data sequence is analyzed, and the method of quality evaluation and ranking is defined. Through the comparative analysis of resolution coefficient, the authors believes that a reasonable value of resolution coefficient can improve the discrimination of evaluation objects. By studying the influence of the discrimination coefficient parameter of grey model on the evaluation result of quality state, it is found that the discrimination coefficient ρ can be used as the index of discrimination control, especially in the case involving reward and punishment and performance score measurement. This method can significantly improve the scientificity and operability of quality management evaluation of asphalt pavement mixing plant. This paper enriches the technical methods of pavement engineering quality management. |
| Key words: asphalt pavement quality condition of mixing station grey model evaluation system grey correlation coefficient |
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