Detailed description of the service 

Unlike traditional data storage solutions, the FDP is a management platform designed to offer exploration, previewing and operational filtering of sensor field data.

Service Capabilities: The FDP features a user-friendly web dashboard that allows researchers to visualize data through cards and graphs. Researchers can conduct preliminary analyses, identify trends, and filter data based on specific research needs. The platform utilizes data generated by the digital shadows of technical systems, laying the groundwork for a digital twin in field data management.

Added Value: The platform solves common issues with handling large and confusing datasets by making data more accessible and reusable. Researchers don’t have to feel lost when searching for the right information. The FDP lets you explore and preview data and environmental conditions, reducing the chance of downloading unnecessary data.

Target Audience: The FDP is ideal for researchers and engineers in engineering and related fields who work with large datasets collected from field sensors. It’s especially useful for projects that need to combine data from multiple sensors, like in automotive testing or environmental monitoring.

Typical Use Cases: One main use case is our test vehicle equipped with sensors like cameras, LiDAR, IMU, and GPS. Together with our DFKI-partner we’re adding a new use case involving a field robot, which will enrich the provided data within the platform.

Strengths and Weaknesses: The strengths of the FDP include interactive data visualization, filtering options, and the ability to handle complex datasets.
A potential weakness is that the platform currently supports only one use case for now.

Limitations: While the FDP improves how researchers interact with data, it may require some effort to integrate certain sensor types or data formats that aren’t supported yet (e.g., LiDAR point clouds).

Future Developments: GOLO is committed to improving the FDP and is seeking feedback and collaboration from the NFDI4Ing community. By adding more field use cases and metadata, we aim to develop the platform to meet a wider range of research needs.