This white paper explores the growing trend towards Smart Alarms as a method for validating alarms and better managing your technical resources to respond to the most critical alarms first.
The paper discusses intelligent, digital sensors, such as pH, dissolved oxygen and conductivity sensors with Intelligent Sensor Management (ISM®) technology, and their role as building blocks for a Smart Alarms system. By using ISM sensors and analyzers with unique algorithms and predictive diagnostics, plant management can trust that sensors are providing the Smart Alarms system with the most reliable measurement input for every parameter.
Download the white paper, Increasing Reliability of Optimized Alarm Management Through Qualified Input Parameters, with the button below to learn more about how Smart Alarms can support the reduction of false alarms and better alarm management in your plant.
The white paper begins with a history of alarms and monitoring at power plants, and the evolution from binary alarm systems, to systems that used measurement values to offer a range of alarm values, to alarms controlled by Distributed Control Systems (DCS) that give an at-a-glance overview of all alarms. The challenge with this, however, is its tendency to cause sensory overload and a poor response strategy.
With this challenge came the development of the Smart Alarms model. In this model, decision tree logic from a variety of different inputs analyzes the information from various alarms, validates it against other measurements, and recommends a specific action to be taken.
For a Smart Alarms system to work appropriately, the input integrity is critical. Integrity of the inputs can be managed a number of ways, the most common are by ensuring that you have a strong preventative maintenance process in place, ensuring measurement redundancy and having parameters that offer preventative diagnostics.
For example, if you receive an alarm that there is a significant increase in pH, a Smart Alarms strategy could validate that the pH sensor is working properly in multiple ways. If the pH sensor offers ISM diagnostics such as an Adaptive Calibration Timer, it can tell you if the sensor is past its scheduled calibration. If the sensor is working properly, you can validate the measurement against calculated pH from digital conductivity sensors. Each of these steps is designed to help identify the problem and recommend the best action to take to solve it.
Smart Alarms, when properly implemented, can help save maintenance time and effort, and significantly optimize your handling of alarms.