Widespread sensor issues?

Standard Calibrations, a leading authority in sensor calibrations for building management systems (BMS), warns that overlooking sensor inaccuracy can lead to costly downtime and operational inefficiencies for data centers.

As the demand for artificial intelligence continues to surge, concerns about the environmental impact of data centers are escalating, particularly regarding their substantial energy and water usage. The nationwide imperative to ensure the sustainability of data centers, which house the advanced data processing technology essential for AI operations, is receiving unprecedented attention. After calibrating over 100,000+ sensors in live data centers, Standard Calibrations, Inc. (SCI), the leading authority in sensor accuracy for data center building management systems (BMS), issued a whitepaper with alarming audit findings: 1 in 4 sensors that were monitoring essential functions such as heating, cooling, humidity control, and other operations were found to be inaccurate. Furthermore, installation deficiencies were identified in new data centers more than 15% of

the time. SCI attributes these inaccuracies to various root causes, including evolving technology demands and oversights in sensor design, selection, and installation. Recognizing the significant need, SCI has launched SensorProQ™, a no-cost sensor health check service for building management systems. SensorProQ is a comprehensive, no-fee health check performed onsite at data centers to uncover potential sensor and monitoring issues affecting building system performance. The health check provides actionable recommendations to address identified problems proactively.

"The potential financial repercussions of inaccurate building sensors can be severe," warns SCI President Mike Meyer. "In a recent case, a global SCI customer had initiated a $3M project to upgrade critical supply fans believed to be underperforming based on inaccurate sensor data. If we had not intervened by verifying sensor installation and setup during our preliminary health checks and then recalibrating out-of-tolerance sensors, the customer would have proceeded with this unnecessary multi-million dollar upgrade. For data center owners and operators, this reality begs the question: Can I truly trust the integrity of my building sensor data?" Meyer emphasizes that accurate sensors alone will not guarantee precise measurements of heat, humidity, cooling capacity, and other essential building measurements. "Ensuring sensor accuracy within the building after installation and at regular intervals is vital to maintaining system performance and preventing unplanned and unnecessary risk and costs."

Safeguarding Data Center Performance: A Call to Action

Accurate building sensor data is the cornerstone of maintaining system performance and achieving sustainability targets for data center owners and operators. However, drifting, inaccurate, or failing sensors can have severe consequences and may lead to underperforming HVAC systems, increased energy consumption, and unnecessary equipment wear—all of which can significantly impact risk and cost.

Ensuring the accuracy and reliability of building sensors is a strategic imperative for business executives seeking to safeguard their data center investments and maintain a competitive edge. By leveraging SCI's free SensorProQ health check services, data center owners and operators can take the first step toward ensuring data integrity, optimizing system performance and uptime, and driving operational excellence.

As part of the SensorProQ service, SCI also offers QAQC surveys and consultations that help mitigate risk by ensuring sensors are installed correctly, fully setup, and functioning as intended. These SensorProQ checks are conducted seamlessly and with no disruption to critical data center operations.

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