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Quality control for coated concrete starts with a sound, clean, suitably dry substrate and includes checking surface profile, climate, coating thickness, and adhesion.

Reliable pull-off adhesion testing depends on a sound adhesive-to-dolly bond. For the aluminum dollies evaluated, abrasion and removal of loose debris were the most influential preparation steps.

Non-destructive wire coating measurement relies on matching the gauge and calibration to the wire substrate and diameter, then checking coated parts against required thickness limits.

A non-destructive concrete moisture meter uses electrical impedance to compare near-surface moisture conditions across a slab. The PosiTest CMM provides multiple scales and modes for fast comparative checks.

Duplex systems pair a barrier coating with zinc protection. PosiTector 6000 FNDS measures the paint and zinc layers individually in a single reading by combining magnetic and eddy-current measurement principles.

The oven temperature logger collects temperature data from multiple locations on the part during the heating process. The PosiTest OTL supports up to six Type K thermocouples, logs data, and enables analysis via PosiSoft Desktop.

In many real-world operational systems, clearly distinguishing between when to use mechanical gauges and when to employ handheld electronic measuring devices is a critical challenge for maintenance teams

Artificial intelligence is rapidly shifting from theory to operational systems. The continuous emergence of large language models, intelligent robots, and autonomous vehicle technologies has caused a surge in global demand for computing power

Concrete surface profile affects coating and lining adhesion. ICRI CSP Chips provide a visual, qualitative comparison, while ASTM D8271 describes direct quantitative measurement with a digital depth micrometer.

AI development in Vietnam is gradually shifting from simply using existing tools and models toward building self-reliant capabilities suited to the country's data, infrastructure, and domestic needs. Advancing further at the national level requires more than developing a new AI model. It also involves data, computing capacity, human resources, hardware, and the ability to independently verify technology.