Emerson has launched the latest version of its Smart Meter Verification software for Coriolis and magnetic flow meters, providing verification on demand and allowing process engineers, technicians and operators to look beyond the meter and make real-time decisions.
New tools in the Smart Meter Verification software allow users to fine tune and adjust their engineering processes to ensure absolute measurement confidence and top performance in the chemicals, food and beverage, life sciences, oil and gas, and other process industries. In addition to onboard diagnostics, Smart Meter Verification also accelerates implementation of companies’ Industrial Internet of Things (IIoT) strategies with its remote diagnostics, digital intelligence and multiple data points providing users with a complete process overview and greater operational certainty.
Rather than costly and time-consuming calibrations and laboratory testing, leading to production interruptions, shutdowns and safety concerns, the advanced Smart Meter Verification provides in situ calibration verification on-demand without any impact on process or meter outputs. The new system also provides operators with crucial information on other flow issues across the plant.
Key features include innovative algorithms that detect corrosion and erosion in the meter with remedial action able to be instigated immediately. Emerson is also the first company to integrate a 95% confidence statistical meter damage detection algorithm that enables early detection without false alarms.
New process diagnostic capabilities that include a ‘flow range‘ diagnostic, which alerts the engineer when flow rates are not within the specified range of the meter; instrument diagnostics that can identify if entrained gas is in the process; and immediate alerts to process upsets that may affect measurement performance, such as severe aeration.
Also tube coating diagnostics that offer crucial data points and drive valuable information to the end user, alerting them when the meter is coated by something unexpected from the process line, particularly important in food and beverages and life sciences applications.