Artificial Intelligence Process Optimization (AIPO)
- AIPO is based on machine learning algorithms and deep neural networks where each structure is customer made for individual case
- Solution is embedded in scalable technology which allow to use computational power of computer clusters both CPU and GPU
- AIPO can be implemented on the existing operational system on premise or on in the cloud (Azure, AWS, Watson IBM, etc.)
- Product allow to analyse data from thousands of physical sensor in real time
AIPO - Development Process
AIPO - Technology
AIPO - Cloud Platforms
What’s it all about
- AIPO can replace or support physical sensors
- AIPO is a solution which can be integrated with existing operation system or IoT platform.
- AIPO can be used in all industries with continuous production, such as: Diversified Industrial Products, Manufacturing, Food and Beverage, Oil & Gas, Chemical and more.
- Solution allows an accurate description of physical processes in plant science, offering new advantages over traditional treatments as the possibility of a model, prediction and optimize results.
AIPO Goals
- AIPO – Artificial Intelligence Process Optimization
- Application of Artificial Intelligence for process optimization by influencing production efficiency leading to cost reduction and increase benefits
AIPO in Numbers
- End-product quality prediction accuracy reaching 99%
- Slope reduction in fuel blending up to 60%
- Prediction error decreased by up to 20%
- Thousands of sensors monitored and analyzed in real-time
Resources
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