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Yokogawa reveals plans for new plant maintenance solution

Published by , Deputy Editor
World Cement,

Yokogawa Electric Corporation and MetaMoJi Corporation have announced their joint development of SensPlus Note, a solution for the digitisation of plant data on mobile devices. SensPlus Note is said to improve the efficiency and quality of maintenance work and the precision of post-maintenance analyses by enabling data from plant field work to be used more efficiently. This solution will be released in all markets worldwide on 31 January 2020.

A wide variety of equipment and devices from different manufacturers are used in plants. Each has a specific set of maintenance procedures and check items, and this work is performed as set out in manuals, check lists, and other docu-mentation. While it may improve efficiency and help to ensure that this work is done correctly if field maintenance data could be shared and analysed in real time, this may be difficult in plants where such data is written down on paper documents. To address this, Yokogawa and MetaMoJi have jointly developed the SensPlus Note solution, which draws on Yokogawa’s plant operations know-how and MetaMoJi’s experience in developing business applications for mobile devices.

The SensPlus Note solution consists of a data input application and a cloud platform. Data input using this application is digitised and uploaded to a cloud server, where it can be analysed using other software. The mobile application is based on MetaMoJi’s GEMBA Note, which is a digital notebook that was devel-oped to support maintenance at construction and manufacturing sites.

Using the SensPlus note, text can be input using a pen or keyboard, and vide-os, still images, and audio recordings can also be entered on the same form and linked to a device management ledger. This is likely to save some time and provide all the information needed to know precisely what is happening in the field. Once such information is input into the device, it can be shared with other personnel, and is hoped to speed up loop checks and other tasks that require multiple operators to coordinate their efforts.

With its ability to store data collected over long periods of time, this platform may be ideal for both preventive and predictive maintenance. Applications for the statistical analysis of field and plant operational data and other operations can be added to the platform as needed to assist in identifying failure causes and improving work procedures.

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