IoT Validation Element Renderer

AI-based Process Control c/o Royal Eijkelkamp BV

The aim of the Experiment is to improve the services to end-user customers, optimize the maintenance process, and improve the quality control of the measurements. The values of groundwater level, battery state, and other parameters are logged by their data logger system and sent at pre-programmed intervals to the remote server. There is additional storage of maintenance procedures in addition to measurement data. Due to the large amount of data collected, a manual inspection of the collected data is complex. Thus, inevitably it requires an automatic procedure to perform the quality control tests. The AI model will drive the information extraction from the correlation between the measurement and the maintenance data to perform automatic quality control and failure detection system. The AI system will assist the maintenance staff by reducing the maintenance effort and increasing trust in the measurement platform.

EC Project AI REGIO AI REGIO | DIH-driven EXPERIMENTS Trend Artificial Intelligence Validation Type Use Case