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基于灰色聚类的管道电伴热系统安全评价
引用本文:赵晓刚,蔡 渝,周 毅. 基于灰色聚类的管道电伴热系统安全评价[J]. 国防科技, 2021, 42(2): 28-35
作者姓名:赵晓刚  蔡 渝  周 毅
作者单位:陆军勤务学院,重庆 401311
基金项目:国家重点研发计划(2007YFC0804705-2)
摘    要:虽然管道电伴热系统在国防工业领域有着十分广泛的应用,但在实际使用过程中也经常会出现各种问题.本文针对管道电伴热系统安全性的评价问题,在分析总结管道电伴热系统常见故障的基础上,从系统设计、安装施工、电气连接与操作使用4个方面,选取17个影响因素构建管道电伴热系统安全评价指标体系,通过改进层次分析法计算得到各方案层的权重值...

关 键 词:管道电伴热系统  改进层次分析法  灰色聚类评价  端点梯形白化权函数

Assessing the safety of electric heat tracing systems based on grey clustering
ZHAO Xiaogang,CAI Yu,ZHOU Yi. Assessing the safety of electric heat tracing systems based on grey clustering[J]. National Defense Science & Technology, 2021, 42(2): 28-35
Authors:ZHAO Xiaogang  CAI Yu  ZHOU Yi
Abstract:Pipeline-based electric heat tracing systems have been widely used in the national defense industry, but problems in their use persist. To assess their safety, this study analyzed the common faults that occur in such systems, and 17 factors were identified. These factors were then used to construct a safety evaluation index system for pipeline-based electric heat tracing systems that considers the system design, installation, and construction, and the electrical connection and operation. The weights of each layer of the systemwere calculated by using the improved analytic hierarchy process, and a grey clustering-based evaluation of the safety of pipeline-based electric heat tracing systems was developed. The effectiveness of the proposed model was verified through an example of an electric heat tracing pipeline. The results show that the proposed model can objectively and accurately evaluate the safety of such pipelines, and can quickly identify weak links. The proposed method thus has high application value.
Keywords:pipeline-based electric heat tracing system   improved analytic hierarchy process   grey clustering-based evaluation   trapezoid whitening weight function of endpoint
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