Chemometrics Methods for Image-Based Monitoring and Control of Industrial Processes and Product Quality

该研究计划的长期目标包括开发新的化学计量学方法和系统工程方法，以减少变异性，改善对加拿大经济重要的工业领域的工艺操作和产品质量。过程化学计量学是指利用多元隐变量统计方法从大型过程数据库和多变量图像中提取相关信息，并利用模型进行过程监测、控制和优化。它们有助于保持国际竞争力，加快工艺开发，并更有效地利用原材料和能源。短期内，研究将集中于开发用于分析过程和产品的高光谱图像的工具，并在两个领域将这些新传感器集成到工程控制系统中：1)生产复杂的聚合物复合材料，2)用于细胞治疗开发的培养系统。

The long term goal of this research program consists of developing new chemometrics methods and systems engineering approaches for reducing variability, improving process operation and product quality in industrial areas that are important for the Canadian economy. Process chemometrics means using multivariate latent variable statistical methods for extracting relevant information from large process databases and multivariate images, and using the models for process monitoring, control and optimization. They help maintain international competitiveness, accelerate process development, and make a more efficient use of raw materials and energy. On the short term, the research will concentrate on developing tools for analyzing hyperspectral images of processes and products, and integrating these new sensors in engineering control systems in two areas: 1) production of complex polymer composites, and 2) culture systems for cell therapy development.