Oil and gas facilities lose up to 10% of annual production every year as a result of unplanned downtime, according to a 2016 study by ARC Advisory Group. Nearly 30% of senior executives, engineering, operations, and maintenance managers surveyed by ARC reported between 3 – 5% lost production every year from unscheduled downtime. The cost of equipment failure significantly impacts return on capital employed (ROCE) performance through lost revenues, high operating and maintenance costs (OPEX) and unnecessary capital cost (CAPEX) for remedial work, modifications and upgrades. More predictive and prescriptive asset management strategies are required to exploit the benefits of applying data and analytics to maintenance.
The Sushi Sensor, with LoRaWAN® (Long Range Wide Area Network) communication technology and advanced analytics from GA10 software, enables the digital transformation of rotating equipment asset management. Approved by testing and standards agency, FM Approvals, for operation in hazardous areas, the Sushi Sensor is a compact wireless device providing online vibration and surface temperature measurement in machines and process equipment. Via LoRaWAN, a low power, wide area network with up to ten times the range of other IoT wireless networks, the Sushi Sensor efficiently communicates digitised measurements to Yokogawa’s advanced AI analytics environment. The solution involves easy installation/setup, excellent environmental resistance and monitoring versatility via on-premise servers or the Cloud.
“Our co-innovation with asset owners and operators at over 40 sites across various industries resulted in development of the Sushi Sensor and AI solution,” comments Tom Quinlan, vice president of Yokogawa Corporation of America. “We are delighted to deliver an easy to implement, low-cost, rugged IIoT solution featuring long-distance wireless communication but with low power consumption to extend battery life.”
