MOVUS AI system cuts unplanned downtime in mining by more than 90%
MOVUS’ mining-specific AI monitoring platform is driving substantial reductions in equipment failures and inefficiencies across heavy industrial sites, with users reporting more than a 90% reduction in unplanned downtime and a 20–30% improvement in maintenance planning accuracy.
Through its strategic relationship with Infinite Uptime, MOVUS brings advanced sensing technologies and the PlantOS platform to its customers. The technology has been deployed across more than 900 plants and has helped prevent hundreds of potential catastrophic failures, according to operational data provided by MOVUS.
The platform provides corporate-level dashboards, plant-level views and prescriptive recommendations — pinpointing issues such as unbalance, misalignment, looseness, lubrication needs or bearing inspections — allowing users to avoid 30–40% of unnecessary field work. More than 30,000 assets are monitored through the system. In heavy industries alone, over 6,000 critical assets such as pumps, crushers, conveyors, ball mills and blowers are being monitored. So far, more than 13,000 early-stage faults have been detected and an estimated 34,000 hours of downtime have been avoided.
The system applies Industry 4.0/5.0 technologies — including IoT hardware, AI, machine learning and a digital-first approach focused on user adoption — to streamline maintenance processes that have traditionally operated in siloed teams.
Engineered for mining
MOVUS offers a family of wired and wireless sensors for harsh mining and heavy industrial environments, including the award-winning vSense Triaxial Ultra for high-fidelity vibration on critical assets.
Sites can choose fast, wireless installation for broad coverage on pumps, fans, blowers and conveyors, or wired sensors for higher-cadence data on crushers, ball mills, gearboxes and other high-risk machines.
The high-frequency data feed is used to detect abnormal patterns early, reducing the risk of safety incidents and equipment damage.
MOVUS’ sensors are designed for extreme mining conditions, operating up to 150°C and in high-humidity or corrosive environments.
PlantOS is MOVUS’ intelligence platform, designed to unify monitoring, diagnostics and decision-making in one digital hub. It delivers real-time machine health insights across the entire plant, backed by AI-driven diagnostics and 24/7 expert oversight.
PlantOS transforms raw sensor data into clear, prioritised actions, helping users reduce unplanned breakdowns, improve maintenance planning accuracy and extend asset life, while supporting more sustainable, efficient operations.
The PlantOS platform integrates with existing plant instrumentation, and MOVUS supports deployments with 24/7 remote monitoring, diagnostics and training.
Effective hazard avoidance and downtime reduction
Industrial assets in mining and heavy industries face extreme operating environments such as heat, dust, vibration and high mechanical loads.
Traditional maintenance practices often rely on scheduled inspections or reactive measures triggered after issues surface. This approach leads to high downtime, costly emergency repairs, premature spare-part changes and significant safety risks.
MOVUS identified the need for a predictive, adaptive and scalable maintenance framework that ensures reliability, minimises unplanned downtime and optimises asset performance.
By continuously collecting and analysing equipment health data, MOVUS condition monitoring solutions not only predict failures before they occur but also prescribe interventions, diagnosing the root cause and recommending corrective action.
One reported incident involved a steel plant where PlantOS detected imbalance caused by a cracked fan blade during night operations. The early alert allowed staff to shut down the equipment, avoiding a potential fire hazard.
Data from ball-mill operations further illustrates the performance impact: one site recorded more than 30 failures and over 180 hours of unplanned downtime in the two years prior to using PlantOS. After implementation, failures dropped to 4–5 over a comparable period, with downtime decreasing accordingly.
Innovating asset monitoring
The future of industrial reliability lies in adaptive AI model training and AI-led condition monitoring. MOVUS, founded in Brisbane, Queensland, is reimagining what industrial condition monitoring can be with enhanced analytics, broader scope and 24/7 expert oversight.
This was recognised at IMARC, where MOVUS was awarded the IMARC 2025 Mining Beacon Breakthrough Innovation Award for its advancements in mining-specific predictive maintenance.
MOVUS is setting a new benchmark in operational excellence as it helps industry shift from reactive to predictive maintenance, supporting uninterrupted production, optimised maintenance and long-term cost efficiency.
