Chinese
When discussing the digitalization of circular knitting machines, the common refrain involves adding sensors, implementing software systems, or connecting to digital platforms. While these steps are valid, they miss the core issue. The true pain point for circular knitting machines lies not in their operation, but in the setup and adjustment process. If a digitalization strategy bypasses this phase, it merely applies a digital veneer to outdated, inefficient workflows.
Why the setup process is a "dead knot"
The difficulty in setting up a circular knitting machine isn't about adjusting a single parameter; it’s that once a machine is perfectly tuned, operators are afraid to touch it again.
If a machine is dialed in to produce a specific fabric structure, the factory becomes reluctant to change it. Switching to a different structure requires reconfiguring the needles, readjusting the cams, and recalibrating the yarn feeders—a process that can take longer than the actual production run itself. Consequently, an industry-standard practice has emerged: keep a specific machine dedicated to a specific fabric type—don't mess with it. In this way, the flexibility of the equipment is effectively locked away by the high cost of setup.
The root of this "dead knot" is that the adjustment process is opaque. Veteran technicians rely on sight, sound, and touch; they may get it right, but they often cannot articulate why, nor can they explain exactly what went wrong when they get it wrong. This expertise resides solely within the individual—when they leave, the knowledge goes with them, forcing the next person to start from scratch on every machine.
Where should digitalization focus?
Most current digitalization efforts in the industry focus on making things "visible"—tracking production output, energy consumption, or fabric defects. While useful, these initiatives fail to address the setup process.
To digitize the setup phase, one fundamental challenge must be overcome: the adjustment process itself must be made recordable and comparable. Which needle, which cam, or which yarn path was adjusted? By how much? And how did the fabric surface respond? Without documenting these details, digitalization is impossible. While sensors can measure tension, vibration, or temperature, they cannot capture the nuanced, tactile judgment of a technician—such as sensing that a cam is off by a fraction of a millimeter from its standard position.
Therefore, the first step toward digitalization is not adding new hardware, but structuring the adjustment process. Every change—what was adjusted, why it was done, and what the outcome was—must be recorded. Once a sufficient body of data has been accumulated, it becomes possible to provide actionable insights: for a given fabric type, yarn, and machine, what specific settings have historically yielded the most stable and reliable production? This is what digitalization should actually be about: it’s not just about making screens larger, but about transforming human experience into data.
Circular Knitting Machines, Spray-Lubrication Systems (http://www.dayuanji.com)
The people who handle machine tuning may change, but the role itself will not disappear.
Some worry that digitalization will render veteran technicians obsolete—but the reality is quite the opposite. Machine tuning is a task that cannot be automated; evaluating fabric quality, sensing the characteristics of the yarn, and identifying anomalies still require human judgment. What digitalization offers is the ability to capture these human insights, ensuring that the next person doesn’t have to start from scratch.
For circular knitting machines, the success of digitalization doesn’t hinge on how many sensors are installed, but on whether there is a genuine commitment to treating the tuning process with the seriousness it deserves. When this is done well, it unlocks true equipment flexibility—making it far easier to pivot production or change fabric structures. If it’s done poorly, then no matter how many screens you add, the tuning process will remain a persistent, intractable bottleneck.