Anomaly Detection with Local LLM

In manufacturing, equipment anomalies or operational status faults are generally identified through signal alarms. Aging equipment, in particular, exhibits early warning signs before a breakdown occurs. However, while early warning signs that occur near the alarm threshold can be detected in advance, those that appear as irregular pattern disruptions within the normal range are difficult to spot. Consequently, these undetected issues can lead to equipment failure and ultimately result in production downtime.

 The AI Agent of Cnix's Data Service Platform identifies these early warning signs—specifically, cases where patterns break down irregularly within the normal range—and supports everything from generating result reports to providing maintenance guides. Rather than relying solely on absolute data values, it uses pre-stored data to establish a baseline signal pattern. It then applies various algorithms to analyze signal distributions and inter-signal relationships to accurately determine anomalies.

Cnix's anomaly detection service powered by a local LLM AI Agent requires no complex configuration UI; simply type "Start anomaly detection" in the chat window. If you are dealing with unpredictable signals, you can issue the request and head home for the day—CYNIX's AI Agent monitors your operations non-stop, around the clock.