Manufacturers require continuous visibility into equipment health, process variability, and energy consumption to stay competitive. Plant
Pulse Io
T from VSI Technologies delivers a plug-and-play solution that captures high-frequency data from PLCs, SCADA, and edge sensors–streaming to a low-latency analytics hub. On-edge ML models detect anomalies in motor vibration, hydraulic pressure, and CNC cycle times within milliseconds, triggering local control-loop adjustments and dispatching maintenance alerts before failures occur. A cloud-native time-series lakehouse aggregates historical runs, enabling deep-learning models to predict throughput bottlenecks and quality deviations. Real-time dashboards display OEE, cycle-time variance, and k
Wh per unit metrics–allowing plant managers to balance output with sustainability goals. Integrated Digital Twin modules simulate line-change scenarios and model energy-optimization strategies, recommending production schedules that align with green-energy availability and demand peaks. Workflow automation assigns corrective tasks to technicians via a mobile app, complete with AR guided-repair instructions. Clients using Plant
Pulse Io
T report 20 % OEE improvements, 30 % reduction in unplanned downtime, and up to 25 % lower energy consumption–all while empowering continuous-improvement teams with actionable insights.
