Control Seat

Control Seat is a predictive maintenance and industrial plant monitoring platform that combines existing plant data with wireless sensor readings to assess machine health and identify potential equipment issues. It connects with historians, SCADA systems, OPC UA, MQTT with Sparkplug B, databases, and APIs, using read-only access for cloud or on-premises deployments. (controlseat.com)

The platform establishes machine-specific baselines based on real operating conditions rather than fixed thresholds. It can detect and classify patterns associated with bearing wear, unbalance, misalignment, gear wear, cavitation, filter loading, valve drift, phase imbalance, and other mechanical, process, and electrical conditions. Wireless sensors provide vibration, ultrasound, and temperature data, while existing tags can be used to monitor factors such as motor load, power factor, pump performance, cycle time, flow, pressure, and ambient conditions. (controlseat.com)

Control Seat provides synchronized charts for machine health and process data, anomaly detection, projected trends, dashboards, alerts, investigation worksheets, and journals. Its plain-language query feature helps users examine equipment and process information without writing database queries, while each finding includes supporting evidence and is presented as a ranked hypothesis rather than a definitive diagnosis. The platform is designed for predictive maintenance, condition monitoring, root-cause investigation, and reliability management across manufacturing, process and utilities, energy, water and wastewater, aerospace, and building facilities. (controlseat.com)