Yokogawa Technical Report / Vol.61 No.1 (2018)

At this site technical articles published at the YOKOGAWA technical report are introduced.

Sushi Sensor

APM: Asset Performance Management –Increasing the Value Created by Facilities–

Junji Yamamoto^*1

*1 : Corporate Fellow, IA Products & Service Business Headquarters

Application of the IIoT to Equipment Maintenance

Masaaki Yonezawa^*1

*1 : New Business Development Division, New Field Development Center, IA Products & Service Business Headquarters

As an increasing number of plant facilities are aging and with growing demand for environmental protection, condition-based maintenance (CBM) is needed in developed countries. However, identifying and managing the state of facilities depends largely on skilled field workers, and it is difficult to transfer their know-how to the next generation, hindering the widespread use of CBM. Yokogawa Electric Corporation has long been involved in plant operation and equipment maintenance, and is now planning to use the Industrial Internet of Things (IIoT) and artificial intelligence (AI) in these areas in order to promote CBM. Yokogawa’s Sushi Sensor is a product based on this concept. This paper describes the functions and various technologies behind Sushi Sensor.

Sushi Sensor for Achieving Industrial IoT Solutions

Masahisa Saitou^*1
Masato Yamaji^*1
Takayuki Sugizaki^*1

*1 : Business Initiative Department, New Field Development Center, IA Products & Service Business Headquarters

In plants, there is an increasing need for collecting more data to improve the efficiency of equipment maintenance and production. Since wireless sensors can be installed where wired ones would be cost-prohibitive, their demand is growing. In addition to ISA100 Wireless solutions, which are optimal for operations and safety, Yokogawa Electric Corporation has worked on applying wireless technologies to equipment maintenance. Backed by the rapidly increasing demand in recent years for introducing IoT to plant equipment, we conducted user interviews and proof-of-concept (PoC), identified specific requirements, and developed the Sushi Sensor. This paper introduces its concept and functions, and the technologies used to achieve the concept and functions.

The XS770A Wireless Vibration Sensor for the Industrial IoT

Shouji Nagano^*1
Daisuke Kaneko^*1
Keiichi Sasaki^*1
Yuuji Aono^*1

*1 : Wireless Development Department, New Field Development Center, IA Products & Service Business Headquarters

Yokogawa Electric Corporation has developed the Sushi Sensor series of compact wireless sensors for maintenance, environmental monitoring, and energy management. The first product in the series is the XS770A wireless vibration sensor, which is robustly designed to be used for Industrial IoT (Internet of Things). This battery-driven sensor can monitor the vibration and surface temperature of manufacturing facilities for a long period, significantly reducing the cost of such monitoring. This paper introduces the XS770A’s excellent durability, vibration sensing performance, wireless function, and battery system, all of which are built into its compact, light-weight body.

Excellent Usability of the Sushi Sensor

Naoyuki Fujimoto^*1
Takayuki Suzuki^*1
Osamu Itou^*1
Ryohei Fujii^*1

*1 : Wireless Development Department, New Field Development Center, IA Products & Service Business Headquarters

Yokogawa Electronic Corporation has developed the Sushi Sensor, a compact wireless sensor for plant maintenance, environmental monitoring, and energy management. Although there are various restrictions on plant premises, a large number of Sushi Sensors can be easily installed to collect data. This paper introduces the excellent usability of the Sushi Sensor, which is achieved by using smartphones, the cloud, and wireless networks.

An Integrated Solution Offered by Sushi Sensor and GRANDSIGHT

Seiki Odawara^*1

*1 : Development Center, Corporate Headquarters, Yokogawa Solution Service Corporation

As market needs become increasingly diversified and complex, manufacturers must shift away from conventional production approaches. All production activities, including maintenance of production facilities, must be transformed. Focusing on asset performance management (APM), Yokogawa Electric Corporation has developed the Sushi Sensor. By combining this new product with GRANDSIGHT, Yokogawa’s value creation environment, APM will be improved even further. This paper introduces this integrated solution.

The Sushi Sensor and Machine Learning for Achieving Condition-based Maintenance (CBM)

Kazutoshi Kodama^*1

*1 : Field Digital Innovation Division, New Field Development Center, IA Products & Service Business Headquarters

The trend in plant equipment maintenance has shifted from the conventional breakdown maintenance (BDM), in which devices are repaired and parts are replaced only after a failure occurs, to time-based maintenance (TBM), in which inspection, repair, and replacement are performed at regular intervals. However, TBM has the risk of overmaintenance, which increases maintenance costs and even the failure rate. Instead, condition-based maintenance (CBM), which detects the conditions of plant instruments, predicts their deterioration, and performs preventive maintenance, is increasingly attracting attention. However, this method is not yet used in practice because Industrial Internet of Things (IIoT) technology that can be easily implemented in plants is not yet available. In addition, data analysis for CBM is limited to simple methods such as threshold assessment. This paper describes the feasibility of CBM in plants. We believe it is achieved with Yokogawa’s Sushi Sensor, which can easily monitor the vibration and surface temperature of equipment, and data analysis based on the latest machine learning technology.

New Products

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