Whether a Machine Can "Talk" Is Becoming a Procurement Requirement: Data Usability in Assembly Equipment

In 2026, the procurement checklist for automatic fastening and removal equipment has gained an item that was rarely listed on its own before: whether the machine can hand over its process data, and whether what it hands over is actually usable.

Three things are driving the change. The first is quality traceability. In customer audits in automotive electronics and new energy, "can the tightening and removal result for every screw be traced to a specific product" is already a routine question. If a machine keeps only the final verdict and cannot produce torque and angle records per screw, the whole line is missing a piece at audit. The second is yield analysis. When the cam-out or miss rate fluctuates, only per-screw process data reveals whether the cause is incoming material, parameter drift or mechanism wear; a monthly summary of defect rates alone locates almost nothing. The third is maintenance. Downtime data, alarm frequency and cycle-time changes are key evidence for deciding whether a part needs replacing — and that data also comes from the machine itself.

Yet the gap between "has data" and "data is usable" is wide. In real projects it splits into three levels.

The first level is local storage and export. The machine records process data and supports exporting it in a common format via USB or the HMI. This is the baseline and most mid-to-high-end machines manage it. What matters is whether the fields are complete — a record with only pass/fail and no torque and angle values has limited traceability value.

The second level is external interfaces. The machine exposes interfaces a host system can call, typically industrial protocols (such as OPC UA or Modbus TCP), direct database writes or message push. This level decides whether data can flow automatically into MES or a quality system instead of being carried by hand.

The third level is structure and linkage. The data must not only exist but attach to a specific product — usually by scanning a product serial number or fixture ID to bind process data to that unit. Only at this level does traceability close the loop; otherwise, however much data there is, it remains a machine log that cannot answer "what torque did that particular screw on this particular unit see at the time." For stations using small screw removal equipment, workpieces often carry no individual code, so fixture identification is usually needed to complete this binding.

The two most common misconceptions in selection are treating "it is on the screen" as "it has an interface," and treating "it has an interface" as "the data can be linked." Each is one level apart, and those two levels are precisely what audits and traceability require.

So the most effective approach at procurement is to ask the supplier directly for three things: a sample process-data sheet (to check the fields), an interface list with protocol documentation (to check integration), and a description of fields and linkage (to check whether data attaches to a product). None of these requires extra development cost to provide, yet they matter a great deal later. Where the station also has an automatic vision screw removal machine, its vision verdicts should be included in the same data sheet, or the chain stays incomplete.

Shenzhen Honred Technology has long experience in automatic screw driving and combined drive-and-remove equipment. Around an M0.8-M2.0 screw removal solution, its machines support torque and angle monitoring and process-data logging, and can be configured with data interfaces to suit a line's traceability and integration needs — a reference point when assessing data usability.