Digitalization of processes is going fast and in almost all industries in Kalundborg the use of Plant Information (PI) systems, PLC- and SCADA systems is of utmost importance to production. There is a strong movement towards the use of real-time inline/at-line sensor technology, digital twins models and AI in manufacturing, and to be able to use big data to interpret and evaluate the production as it takes place. Also within training and education, new technology like VR/AR/XR is investigated or even used in some facilities.
The use of Plant Information (PI) systems, PLC- and SCADA systems is of utmost importance to most production sites in Kalundborg and have been so for years.
Presently, the ongoing industrial transformation known as the "Fourth Industrial Revolution" (Industry 4.0) is taking place among numerous companies leading to new initiatives that focus on the implementation of Internet of Things (IoT) devices, large scale data analysis and increasingly sophisticated automation and robotic solutions.
In many production environments in Kalundborg, there is a strong movement towards the use of more real-time inline/at-line sensor technology, and use of digital twin models for tests and optimizations.
In order to optimize the use of big data to interpret and evaluate the production in real-time the use of artificial intelligence has become increasingly prevalent. This growing trend has led to increased research and developments within the field, as well as numerous practical implementations. By leveraging advanced AI algorithms and machine learning techniques, companies can effectively analyze vast amounts of data, identify patterns, and make data-driven decisions to enhance efficiency and productivity.
Within training and education, new technologies like VR/AR/XR are now being investigated or even used in some facilities to train operators in a virtual environment before entering the production. The same technologies are being utilized to virtually walk through facilities that are still under construction or still only exits on paper e.g. in order to assess the future working environment for operators and craftsmen.
Within the area of predictive maintenance, the use of data from sensors monitoring vibrations or capturing motion/images is being used to notify the operators of possible issues before they lead to a breakdown or malfunction of the equipment thus increasing safety and reducing the price of repairs.
Just-in-time delivery of spare parts from inventories to factories is in many Kalundborg industries managed by fully automated systems according to SAP-data. These automated systems include the use of mobile robots.
Companies working with Data & Digitalization
Supervisor Network Group
In the Helix Lab Supervisor Network a group of supervisors from industry and universities within this area meet at a regular basis in the Focus Group Data & Digitalization. If you are supervising a project in Helix Lab and interested in joining the Focus Group please contact Thomas Neergaard
Helix Lab Fellow Projects within Data & Digitalization
"Design of in-line measuring system for the API purification process" Daniel Lopez, AAU & Novo Nordisk A/S
"Process models, simulations and optimizations on HMO recovery and purification" Alvaro Pascual, DTU & Chr. Hansen A/S
"Open SCADA and DCS Edge/Cloud" Karl- Kristian Kaether, DTU & Novozymes A/S
"Real-time IoT Fermentation Sensors" Emil Madsen, DTU & Novozymes A/S
"A plant-wide analysis of an industrial flocculation process in biomanufacturing" Alonso Malacara Becerra, DTU (& Tecnologico de Monterrey, Mexico) & Novozymes A/S
"Use of oCelloScope and other sensors to develop new parameters for advanced process control" Mikkel Røhling Bisp, DTU & Novozymes A/S
"Monitoring strategy for HMO fermentation processes" Ahmad B. Adlouni, KU & Chr. Hansen
"Leak detection in pharmaceutical production with use of computer vision" Juan Manuel Ferrerio, DTU & Novo Nordisk A/S
"Data driven control strategy for dewatering of inactivated biosolids in centrifugal decanters" Alex Pokhrel, DTU & Novozymes A/S
"Valorization of microbial protein fermentation through proteomics, bioinformatics, and integrated, data-driven membrane process design for isolation of bioactive proteins/enzymes" Søren Storck Hansen, AAU & Unibio
"AI & Modelling bioprocess in a multi-product plant" Gzegorz Zaba, DTU & Novozymes A/S
"Application of Motion Amplification in Predictive Maintenance for Pharmaceutical Manufacturing" Henan Zhao, DTU & Novo Nordisk A/S