基于多目标决策模糊物元法的冷藏车传感器布点优化

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。

Optimal Sensor Layout in Refrigerator Car Based on Multi-objective Fuzzy Matter Element Method

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 7 in 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.