Imagine a coating-line dashboard showing 1,200 nm for thirty seconds.
The film might be consistent. Or the application might have stopped receiving measurements and kept the last value on screen. Looking at the number alone, you cannot tell.
That is the software problem I want to focus on here: what needs to travel with a thin-film measurement so that an application can use it sensibly?
I work on technical content for TDM Technology. Its thin-film thickness guide covers measurement conditions for semiconductor, photovoltaic and display applications, including the distinction between wet-film, physical and model-derived thickness. Those distinctions also belong in the data model, not just in a PDF beside the instrument.
The JSON and Python below are a proposed integration example using synthetic data. They are not TDM SDK calls, a published device payload or a report from a production deployment.
