Acoustic Tomography for Detecting a Hot Spot in Grain Bulk
A hot spot is a localized high temperature zone in a grain bulk and normally spoilage begins in this location. Acoustic temperature tomography for detecting a hot spot in grain bulk is investigated. The region monitored is assumed to be square and divided into 400 pixels. 16 sound sources/receivers are set on its periphery. An acoustic temperature field reconstruction algorithm based on inverse multiquadrics approximation and truncated singular value decomposition is proposed. Using this algorithm, 400 temperature field models with a hot spot positioned at the midpoint of each pixel in turn have been reconstructed from exact or perturbed time-of-flight data. Reconstruction results indicate that the algorithm proposed is good at reconstructing hot spot temperature, especially at reconstructing hot spot position. Thus it is expected to be used in detecting hot spots in grain bulk.
acoustic tomography reconstruction algorithm hot spot detection temperature measurement stored grain
Hua Yan Ke Xin Cui Li Jun Liu Yue Qi
School of Information Science and Engineering Shenyang University of Technology Hunan University Changsha,China
国际会议
长沙
英文
174-177
2009-04-11（万方平台首次上网日期，不代表论文的发表时间）