TIA ProcessHealth

TIA ProcessHealth consists of applications that analyze data using monitoring and optimization-focused algorithms, perform real-time data analysis on cluster or stream data, and utilize anomaly detection algorithms. In addition to condition monitoring and anomaly detection, TIA ProcessHealth enables the use of intelligent algorithms to optimize the production process. It provides a decision support mechanism within the scope of production planning. By enabling the selection of the most effective production runs that can be carried out in different combinations, it makes it possible to minimize energy and material consumption.

TIA ProcessHealth has the ability to transfer domain knowledge of the production planning process to the software. It is a decision support system that can make correct decisions in new situations by using machine learning algorithms. It provides estimated consumable material usage results by utilizing the production plan.

TIA ProcessHealth enables the optimization of production process parameters. It is a system that supports decision making for users at various levels, from operators to senior executives. In doing this, TIA ProcessHealth uses process data and TEKNOPAR's artificial intelligence solutions. Data-driven models are pretrained and tested to find the best solutions. Different machine learning and deep learning algorithms are used depending on the type of operation and the decision to be made. With the condition monitoring platform developed for decision support, operational data obtained from different processes and sensors are analyzed and tracked with metrics.