Sushi Sensor

Maintaining the reliable performance of a furnace fan allows operators to avoid wasting large batches, which sometimes require days of heat-treat processing.

Significantly reduce downtime, improve heat exchanger efficiency, and reduce steam wastage with Yokogawa’s Wireless Steam Trap Sensors.

Prevent costly downtime and process equipment failures with real-time pressure monitoring. Yokogawa’s Sushi Sensor is the optimal choice for industries depending on bottled gas in essential procedures.

Yokogawa’s Sushi temperature sensor is a cost-effective, reliable, long-range wireless communication for monitoring and recording to boost reliability, and also able to configure the network with redundant gateways for chemical manufacturers.

Automated wireless vibration monitoring improves safety and exposes rotating equipment (rollers, driers, etc.) conditions in polyester textile production lines.

Automated wireless temperature monitoring at cement plants, lime kilns, and asphalt plants prevents expensive chute clogging issues.

Automated wireless pressure monitoring at a polyolefin facility producing high-density polyethylene and polypropylene prevents costly catalyst contamination and production losses.

This eBook explains why implementing IIoT based digital operator monitoring solutions for autonomous anomaly detection enhances operations.

Asset health monitoring has long been in existence to protect expensive equipment and/or operations from costly, critical, or catastrophic failures, with numerous examples in nuclear, aeronautical, petrochemical, industries and beyond. The costs associated to install the sensors and asset health system way overcome the consequences of not implementing. However, this is not the case in all industries, with all equipment and/or all operations. In many cases equipment is run until failure and then repaired or replaced.

Wireless sensors and the network can reduce expenses

Low-power, wide-area industrial temperature and pressure sensors enhance monitoring capabilities, leading to clearer understanding of maintenance needs and improved decision making.

Industrial artificial intelligence/machine learning (AI/ML) software and long-range sensors predict maintenance requirements across entire enterprises, increasing productivity and profits.

The measurement, collection and utilization of equipment data by the Industrial IoT (IIoT) wireless solution “Sushi Sensor” contributes to efficient equipment maintenance and open a new road to a Smart Factory.

In plants, the failure of a steam trap not only diminishes the thermal efficiency of steam, but also poses a risk of damage and accidents in the steam system.

The industrial IoT wireless solution Sushi Sensor visualizes the condition of steam traps and supports secure management.

In plants, the potential for significant steam loss exists due to the failure of steam traps.
The industrial IoT wireless solution, Sushi Sensor, supports energy monitoring by visualizing the condition of steam traps.