Meeting ISO 3834 / EN 1090: AI makes every weld traceable and compliance provable

To sell welded parts into Europe’s pressure-equipment, steel-structure and rail markets, you must first meet standards such as ISO 3834, EN 1090 and EN 15085. The real difficulty usually lies not in the welding process itself, but in proving compliance — whether the process records are complete, whether every weld falls within a qualified Welding Procedure Specification (WPS), and whether each one can be traced to the operator, equipment, material, time and parameters.

The underlying reason is that welding is classified as a “special process” in the quality system — the finished product cannot be fully verified by non-destructive testing, so quality can only be evidenced by controlling the process and retaining complete records. The record itself is therefore the substance of compliance work. Relying on manual entry and paper filing, audits often take days of searching, records are hard to protect against tampering, and it is hard to self-prove that “every weld was made within a qualified WPS.”

A more reliable approach is to turn compliance records from a manual burden into an automatic by-product of the welding process: the current, voltage, gas flow and other parameters of each weld are captured as structured welding data through process monitoring, as the weld is being made, and logged automatically in born-digital form; the full-lifecycle data for each weld can be traced and exported for audit at any time. The process records and traceability required for compliance no longer depend on extra paperwork from the welder — they are generated naturally alongside the welding process.

It is worth stressing that the step of checking conformity against the WPS in real time is beyond an ordinary software system. Welding schedules can rarely be broken down to the individual weld, and the actual welding sequence is often out of order — what the system receives is a stream of signals that does not know “which procedure is being welded right now.” So before any comparison, process recognition must come first: from the real-time current, voltage and gas-flow waveforms, the system determines which class of welding procedure is currently in progress, then retrieves the corresponding WPS for comparison and analysis, flagging anything out of range. This step is essentially where AI comes into its own, and it depends on core welding-domain AI technology — only once the data has been understood by AI can compliance be judged in real time and distilled into traceable evidence.

This capability also needs a clear boundary: it supports process records, WPS conformity and traceability, but does not replace destructive testing, welder qualification, or final certification by a third-party body. Its value is in making the data those tasks rely on complete, trustworthy and available on demand. The bottleneck to meeting the standards often lies not in the welding but in the proof — turn the proof into a by-product of welding, and compliance is no longer a burden.

Suxin has long focused on smart welding, with 70+ invention patents in welding process recognition and process AI, current and gas measurement precision calibrated by a third-party metrology institute, and a role in drafting two national standards. If your company is struggling with process records and traceability for ISO 3834 / EN 1090, you can book a traceability demo to assess how audit-ready your existing weld records are.