基于先验信息的压缩感知重建温度场技术  

Technology of Temperature Field Reconstruction Using Prior Information Based Compressed Sensing

作　　者：黄俊瑜 李文昌[2,4] 刘剑 张天一[2] 朱旻琦 HUANG Junyu;LI Wenchang;LIU Jian;ZHANG Tianyi;ZHU Minqi(School of Information Science and Engineering,University of Jinan;Institute of Semiconductors,Chinese Academy of Sciences;Center of Materials Science and Optoelectronics Engineering,University of Chinese Academy of Sciences;School of Integrated Circuits,University of Chinese Academy of Sciences;Graduate School,Shandong Institutes of Industrial Technology;No.58 Research Institute,China Electronics Technology Group Corporation)

机构地区：[1]济南大学信息科学与工程学院 [2]中国科学院半导体研究所 [3]中国科学院大学材料与光电研究中心 [4]中国科学院大学集成电路学院 [5]山东产业技术研究院研究生院 [6]中国电子科技集团公司第五十八研究所

出　　处：《仪表技术与传感器》2024年第4期71-75,80,共6页Instrument Technique and Sensor

摘　　要：针对利用压缩感知方法重建微处理器芯片温度场存在错失真实热点、从而影响重建精度的问题,提出了一种基于先验信息的压缩感知重建温度场方法。通过对温度场先验信息的处理,结合主成分分析和模拟退火算法有针对性地设计观测矩阵,优化温度传感器的布置,提高重建精度。实验结果表明:与基于特征图的重建方法、基于模拟退火算法布置传感器的方法和基于随机采样的压缩感知重建温度场方法相比,该方法在平均温度误差、最大温度误差和均方误差方面至少分别提升了29.9%、46.6%和53.7%,有更优越的温度场重建性能。To solve the problem that the randomly placed sensors miss the real hot spots of the processor and affect the reconstruction accuracy in the temperature field reconstruction of microprocessor chips using compressed sensing methods,a prior information based compressed sensing method for temperature field reconstruction was proposed.By processing the prior information of the temperature field,the observation matrix was designed targeted by combining principal component analysis and simulated annealing algorithm,and the temperature sensor layout was optimized to improve the reconstruction accuracy.The experimental results show that,compared with EigenMaps-based reconstruction method,the method based on simulated annealing algorithm for sensor layout and the method based on random sampling for compressive sensing temperature field reconstruction,the method improved the reconstruction accuracy by at least 29.9%,46.6%and 53.7%in terms of average temperature error,maximum temperature error and mean square error,respectively,and has superior temperature field reconstruction performance.

关 键 词：温度场重建 压缩感知 观测矩阵 温度传感器 先验信息 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]