Anomaly Analysis in Cleaning-in-Place Operations of an Industrial Brewery Fermenter

Abstract

Analyzing historical data of industrial cleaningin-place (CIP) operations is essential to avoid potential operation failures but is usually not done. This paper presents a three-level approach of analysis based on the CIP case of a brewery fermenter to describe how to analyze the historical data in steps for detecting anomalies. In the first level, the system is assessed before cleaning to ensure that the selected recipe and system are able to accomplish the task. In the second level, a multiway principal component analysis (MPCA) algorithm is applied to monitor the process variables online or post cleaning, with the purpose of locally detecting the anomalies and explaining the potential causes of the anomalous event. The third level analysis is performed after cleaning to evaluate the cleaning results. The implementation of the analysis approach has significant potential to automatically detect deviations and anomalies in future CIP cycles and to optimize the cleaning process.

Computational fluid dynamics (CFD) modeling and application for cleaning of food‐contact surfaces: A review

“…Their findings brought forth a vivid depiction of flow dynamics. In a similar vein, Yang, Jensen, Nordkvist, Rasmussen, Pedersen, et al (2018) ventured into the realm of the cleaning industry, integrating CFD to craft a novel approach to assess cleanability using steady‐state CFD simulations.…”

“…Their findings brought forth a vivid depiction of flow dynamics. In a similar vein,Yang, Jensen, Nordkvist, Rasmussen, Pedersen, et al (2018) ventured into the realm of the cleaning industry, integrating CFD to craft a novel approach to assess cleanability using steadystate CFD simulations.4.2 | Simulation of foulingWhen considering cleaning mechanisms in industrial settings, one must pay keen attention to the distinct characteristics of dirt layers, notably their composition and thickness. These factors are paramount in determining the effectiveness of cleaning procedures.…”