IIoT predictive asset management solution launched
The XS770A Sushi Sensor and AI solution, says the company, addresses a growing need for efficient and effective online collection of equipment data across industrial facilities via wireless sensors for early equipment anomaly detection. The Sushi Sensor combined with the company’s AI GA10 data logging software is designed to detect early signs of abnormal operating characteristics and transform a reactive maintenance process to one that is proactive, intelligent, and condition based.
“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,” says 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.”
By leveraging wireless technology, says the company, the solution reduces cost and logistical challenges for early equipment problem detection to deliver enhanced plant safety, reliability, and profitability. A free smartphone app enables easy set-up and configuration, and users can rapidly place hundreds of Sushi Sensor devices into service across a facility.
The Sushi Sensor features LoRaWAN (Long Range Wide Area Network) communication technology and advanced analytics to enable 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.
The sensor communicates digitized measurements to Yokogawa’s advanced AI analytics environment. Monitoring is available via on-premise servers or the Cloud.
Yokogawa Corporation of America
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