摘要
提出了多目标决策模糊物元分析法,采用中心效果测度方法构建模糊物元矩阵,依据综合关联度对监测点进行优选,实现冷藏车厢内传感器布局的点位优化。结果表明,该方法能够在保证监测结果准确的前提下,传感器数量从27个减少到7个,降低了冷链运输成本。采用统计分析方法和温度场分析法,验证了优化后传感器布局的合理性。优化后传感器监测值具有95%以上的置信水平,优化前、后温度场分布图相似率达到90%,达到冷链运输中既节约成本又准确监测的双重要求。
Multi-objective fuzzy matter element method was put forward to optimize the sensor quantity.Fuzzy matter element matrix was constructed by means of center effect measure,and the monitoring point was optimized according to the comprehensive correlative degree.Twenty-seven sensors was reduced to 7in the refrigerator car,which reduced the costs of cold-chain transportation.The statistical analysis method and the temperature field analysis were applied to validate the rationality of the optimization algorithm.The measurement data of sensors had more than 95% of confidence level and the similarity rate of temperature field distribution between before and after optimization reached over 90%,which achieved the dual requirements of cost savings and accurate monitoring in cold chain transportation.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2014年第10期214-219,共6页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家自然科学基金资助项目(31371538)
教育部新世纪优秀人才计划资助项目(NCET-11-0491)
关键词
冷链物流
冷藏车
温度场
布点优化
物元法
Cold-chain logistics Refrigerator car Temperature field Layout optimization Matter element method
