Discover how smart data use can slash downtime at tank storage terminals without swamping your operations team in complexity. Unlock the power of focused insights, practical automation, and seamless integration to keep your facility running smoothly and efficiently. You will also hear practical perspectives from Marcel van den Eijnden, Group IT/OT Manager at Evos, on making the right data available to the right people at the right moment.

In busy tank storage terminals, more data doesn’t always lead to better decisions. Operations teams face a flood of dashboards and alerts, but what they need are clear, timely insights that identify risks early. Can data reduce downtime without overwhelming teams? This article shows how focused, practical information enables smarter, faster action.

Using condition monitoring to detect early warning signs

Condition monitoring is essential for early detection of equipment degradation. Continuous tracking of tank levels, water ingress, temperature, and structural integrity provides real-time insights. Sensors detect water from condensation or seal failures, preventing contamination and fuel degradation. Temperature monitoring spots abnormal heating affecting fuel stability. Structural monitoring reveals corrosion or mechanical issues early. Alerts trigger when thresholds are exceeded, enabling proactive maintenance that reduces unplanned downtime and costly repairs. Integrating condition monitoring with existing systems supports accurate diagnostics and trend analysis, shifting maintenance from reactive to preventive and protecting asset integrity.

Making inspection data actionable for risk-based planning

Inspection data is valuable only when transformed into actionable insights for risk-based maintenance. Integrating inspection results with operating conditions and risk assessments helps prioritise resources effectively. This targets maintenance where degradation and consequences are greatest, reducing unnecessary downtime. Digital platforms consolidate inspection records, corrosion rates, settlement data, and trends, automating calculations, flagging risks, and generating timely work orders. Connecting data silos and embedding engineering expertise enables proactive decisions that improve reliability and extend asset life without overwhelming teams.

Practical automation and decision support

Taking a human-centric approach is essential, as automation should reduce mental load, not add complexity. By automating routine tasks and integrating decision support, systems highlight exceptions and priorities, letting operators focus on critical issues and actions required. AI-driven predictive maintenance alerts technicians only on anomalies, reducing manual checks. Intelligent scheduling optimises resources and flags conflicts for review. This filters noise and presents actionable insights in familiar interfaces, complementing human judgment and preserving operator control. Pragmatic automation transforms data into timely guidance, enabling faster, better decisions without overload.