Adjust analytic sensitivity to reduce false alarms
False alarms destroy confidence—in the data, the alerts, the decision to do an emergency shutdown procedure (ESP) or keep running, and so on. And when your system is built around instruments that need constant cleaning and calibration, you’re more likely to experience drift that can compound your false alarm problem. When you partner with Buckman, you can adjust analytic sensitivity over time to make smarter decisions about leaks based on a combination of historical and real-time data. Recovery Boiler Advisor is built on a unique learning algorithm, which analyzes data over many months to create a pattern of normal operation—and automatically makes adjustments to correct for any instrument drift. What’s more, your operators can view this data and adjust alert parameters to be either more or less sensitive, so you can proactively avoid those dreaded false alarms. This means your leak detection will continually get more accurate over time, which increases operator confidence and empowers them to make the right decisions when and where needed.