MATLAB-based measurement data management

The data are mainly processed with MATLAB scripts. Developers can embed their existing MATLAB functions and benefit from considerable synergy effects for their evaluations.

The cloud-based and scalable data management system is hardware-independent, can process measurement data of different measurement and data logger systems, and provides a large driver library. Imported data are converted into the TDMS format by default. The raw data are kept as well and prepared for processing with a project-specific configuration. The MATLAB scripts allow the user to individualise and automate their processing in various ways.

Additionally, they may conduct calculations and tag events of particular interest. The tags and metadata are stored in an SQL database easy to be searched. Besides, there are many more search functions available. Users may search raw data, processed data, events, as well as reports and export the filtered data from the MDM platform at any time to conduct individual analyses, local analyses, and simulations.

IPEcloud MDM offers many features to process measurement data. In addition to basic functions, such as tagging events of special interest and storing the data in a structured way, the platform includes usage profiling to easily identify trends, the creation of standardised evaluations to receive repeatable and objective results, simulations to keep pre-development prototypes up to date, health status monitoring to increase evaluation efficiency, pro-active maintenance to improve maintenance management, as well as automated reports to reduce manual intervention.