Situation
At this plant, the waste gas treatment cleans incoming waste gas from a variety of different production processes. If the amount of waste gas is too high for the capacity of the plant (e.g. a spike of waste gas), it could lead to the emission of waste gas to the environment.
Solution
The engineers wanted to establish an efficient and effective workflow to quickly find the origin of the emission of waste gas through use of the time-series data.
Challenges
There are dozens of possible candidates in one production facility alone, making it extremely difficult to identify the right one. If the origin is not a “usual” candidate, it will most likely be missed.
Approach
- Used TrendMiner’s Recommendation Engine to look through all
waste gas valves of every production process. - Visualized the spike of waste gas and ran the Recommendation
Engine with a filter expression. - Added the results to the view for analysis.
Results
Through use of self-service analytics, the engineers established a very fast and easy way to get the right root-cause candidate for the emission of waste gas. This results in:
- Reduced environmental impact through emission of waste gas
- Safety improvements
- Contribution to net-zero operations targets
Blog Posts
Low-code and No-code AI & Analytics Solutions Yield High-Value Use Industrial Use Cases13 September 2024 - 15:19- Building a Foundation for AI & Analytics with an Industrial Data Fabric30 August 2024 - 23:12
- TrendMiner’s 2024.R2 Release; A Complete Platform to Facilitate Event Analytics and Operationalize Industrial Data8 August 2024 - 16:38
