NEC provides predictive anomaly detection system using AI
Summary
However, there is a need for experience and know-how in order to understand the fine changes in individual data, and passing these skills along is a challenge. By collecting and analyzing a large amount of time-series data from a large number of sensors installed in facilities through control systems such as PLCs (Programmable Logic Controller), modeling invariant relationships between sensors (invariants) and comparing changes between predicted data with actual data, users can detect "irregular" occurrences at an early stage. In this line, NECs system will automatically discover the relationships between approximately 1,500 sensors, and issue alarms when changes occur, thereby detecting equipment anomalies at an early stage and helping to resolve them as soon as possible. Moreover, NEC will install microphones near filling machines in order to analyse when sounds are different from usual, which could possibly indicate an abnormality with the system. "Through the provision of this system, NEC is supporting the stable operation of facilities, preserving expert know-how and experience, recognizing errors that are difficult to detect, and contributing to the DX of production lines," said Masayuki Ikeda, General Manager, AI Analytics Division, NEC Corporation.