Asset IQ
AssetIQ™ is HME Solutions’ intelligent maintenance optimisation platform, purpose-built to transform how mining operations manage equipment health and reliability. It links to HME Solutions' exclusive Asset Insight platform that delivers up to 10,000 data samples an hour, which combines real-time telemetry and maintenance data to deliver powerful, predictive insights. using machine telemetry data to predict and determine maintenance strategies. A seamless integration with FMS-Live™, Vital Data Link (VDL), and your site’s CMMS or EAM, AssetIQ™
More than just a scheduling tool, AssetIQ™ helps mining operations understand the root causes of component failure and unplanned downtime before they happen. By detecting early-warning signals, identifying wear trends, and forecasting part replacements, AssetIQ™ empowers maintenance teams to take proactive, data-driven action.
Whether you're operating open-pit or underground, AssetIQ™ enhances fleet availability, extends component life, streamlines inventory management, and ensures the right parts are on hand when needed.
Key Benefits
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Data-Driven Decision Making: Make informed decisions with real-time data and analytics, optimizing mining efficiency and productivity.
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Real-time Fleet Health Analysis: Monitor the health and performance of your fleet in real-time, identifying potential issues before they become major problems.
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Operator Driving Analysis: Evaluate operator driving behaviour and provide personalized feedback to improve safety, reduce fuel consumption, and lower maintenance costs.
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Customizable Dashboards: Create personalized visualizations to track KPIs, identify trends, and pinpoint areas for improvement.
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Predictive Maintenance: Establish custom rules and alerts to predict potential issues, reducing downtime and extending asset lifespan.
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Seamless Integration: Integrate Asset Insight with existing systems and services, ensuring a unified and efficient operational framework.
In-Depth Analytics
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Equipment Utilization: Track equipment usage and identify opportunities to optimize asset allocation and reduce idle time.
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Fuel Consumption: Monitor fuel usage and identify areas for improvement, reducing fuel costs and minimizing environmental impact.
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Maintenance Scheduling: Use predictive analytics to schedule maintenance, minimizing unplanned downtime and reducing maintenance costs.
