Learn how utilizing SAIM data trends helped detect faulty equipment and aided with critical decision making.

The Situation

The operator of the fuel storage facility of a major international airport relies on radar gauges on the fuel tanks to measure fuel level. SAIM collects and archives the fluid level data from these gauges in real-time. Using the live dashboards, SAIM support staff reviewed the historical data and noticed sudden, unusual spikes in fluid level values. They knew it was impossible for a tank to fill up so quickly.

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<h3>Case Study: Evaluating Asset Fitness for Service</h3> <p>Learn how utilizing SAIM data trends helped detect faulty equipment and aided with critical decision making.</p>

Challenges

  • By reviewing historical data, the SAIM Support Team discovered the tank’s radar gauge had a glitch that showed false spikes in fuel level data, prompting the need for replacement or repair.
  • If the gauge continued to malfunction without the operator knowing, the operations parameters would become unreliable.

SAIM Solutions

  • The SAIM internet-of-things module was able to flag intermittent spikes in the values of gross volume.
  • By uncovering the incorrect information, the operator can make better, more informed decisions in critical times.
  • Without SAIM, the typical Human Machine Interface (HMI) would not show granular data and lacks historical trends capabilities. HMI simply displays data, leaving operators with no technical reference for what the quantities really mean.
  • HMI is also not accessible by remote subject matter experts. SAIM brought critical information to the cloud providing transparency for all stakeholders to see and understand the data and make informed decisions.

The Impact

SAIM is critical for equipment health monitoring, or assets fitness-for-service. In this case, the operator had solid evidence and historical data to engage with the radar manufacturer and request repair of the gauge per warranty.

The process led to upgrading all radars across the tank farm as well as regular maintenance by the manufacturer. SAIM confirmed the levels were accurate and no further anomalies have been detected.

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