The Use Of Spectroscopy Combined With Advanced Statistics For Better Process Control, 23TAPPICon

Many different industrial sectors are shifting towards “Industry 4.0” and advanced process control. This is an incredibly powerful set of techniques to use but requires substantial expertise and training to even begin. The creation of “data lakes” and mill-wide control systems is a significant investment that requires buy-in and collaboration across the entire mill’s workforce. An intermediate step requiring much less investment – both in cost and workload – is the implementation of spectroscopy to measure a single point of interest and begin to build up a picture of what is actually happening in the process.

Here we discuss the benefits of using spectroscopy instead of parametric measurements (such as pH probes or temperature probes), and the level of information it provides. We then explain how a principal component analysis (PCA) approach can be used to being to understand what is happening in a process. We will also explain how the output of a PCA model can be used with traditional tools such as statistical process control (SPC) without the need to learn new and complicated approaches.

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