We transform industrial operations with IoT, connecting machines, people and processes to achieve greater efficiency, zero accidents and predictive maintenance. From manufacturing plants to open-pit mining operations.
Vibration, temperature and current sensors for continuous monitoring of motors, pumps, compressors and conveyors. Early failure detection with ML algorithms and alerts before unplanned shutdowns.
FFT vibration spectrum analysis, FLIR thermal imaging and oil analysis to predict failures 2–4 weeks in advance. Up to 75% reduction in unplanned downtime.
Integration of PLCs, DCS and field instrumentation (HART, Profibus, EtherNet/IP) with CloudConnect for unified visibility. Digitalization of operator rounds and replacement of paper records.
Monitoring of shovels, haul trucks and drills with fuel, GPS, load and work cycle sensors. Real-time OEE and productivity reports per equipment and shift.
Gas detectors (H₂S, CO, CH₄, O₂) in confined spaces and tunnels. Personnel positioning systems in plant (RTLS). Cameras with PPE detection and restricted zone access alerts.
Smart meters for electrical consumption monitoring per production line, asset and building. Peak demand detection, power factor and harmonics. Proven average energy savings of 15–20%.
Predictive models trained on vibration, temperature and power-consumption data anticipate an equipment failure before it stops the production line. On the floor, Computer Vision verifies correct PPE use and flags entry into restricted zones without an operator having to watch camera feeds.
It depends on the failure type and equipment, but the goal is to turn an unplanned stop into a scheduled maintenance window, typically days in advance.
Not by default: it detects whether a helmet, vest or protection is worn, not identity. Identity recognition is a separate, optional module.
Yes, CloudConnect integrates via APIs and standard industrial protocols (Modbus, MQTT) without replacing the control system already installed.