Artificial Intelligence In Practice
Get inspired by how others have utilized data and Artificial Intelligence (AI) to improve business. Use AI to:
- Optimize Processes
- Reduce energy consumption
- Reduce overproduction
Read our customer cases below
Forecasting models
Forecasting models use data to predict future outcomes or trends. Their applications extend across diverse fields like finance, business, utility industry and more.
We specialize in making good forecasting models, and focus particularly on business cases where predictions can lead to optimization, and thus a positive impact on the climate.
Estimating Remaining Useful Life on a Steam Lock
Estimating the remaining useful life of a steam deck.
Use historical breakdowns to estimate when a new breakdown will occur, thus making it possible to plan maintenance outside of critical production hours.
OWLS - Optimal Vacuum Vapour Level Setpoint
Reduce energy consumption by utilizing cycle time on Crystallization equipment, and use a more energy efficient steam when possible.
Predicting Optimal Temperature in the Transmission System
The goal of this project is to investigate whether a machine learning model can predict the optimal supply temperature, so that the universal service obligation is sustained, while at the same time reducing the supply temperature.
The two created machine learning models for this project makes it possible for CTR to:
- predict optimal supply temperature 12 hours into the future
- increase efficiency in spring and autumn, when the weather is particularly changeable
- sustain their universal service obligation
- potentially reduce the supply temperature by an average of 5.4 degrees
- supply a greener and more climate-neutral district heating
Predicting Unwanted Situations in the Transmission System - Kredsløb
Estimating the probability of unwanted situations will occur in the transmission system, within the next 12 hours period.
The model creates an alarm system to operators in control room, who will take the final decision
Computer Vision
Computer Vision aims to derive meaningful information from images and videos that can be used for both classifications and predictions.
Optimize Quality Control with Computer Vision - Danish Crown
The overall quality of roast pork is already commendable, but there is a desire to continuously enhance and refine its quality. Customers have an expectation that the fat layer of roast pork should be consistently uniform. However, achieving this uniformity can be challenging due to the natural variation that exists among individual pigs.
As part of an extended AI Camp, we have taken pictures of roast porks with low-budget hardware and prepared a Machine Learning model that can predict the quality of the roast porks.