Yokogawa Participates at ITAP 2022 Features AI/ML, Digital Twins, Industrial Cybersecurity and Robotics

Key challenges: Unable to detect problems at early stage.

Use acquired data to predict future data, and display predicted future waveforms along with real time data on the trend monitor. Predicted future waveforms help you identify and deal with likely problems as soon as possible. Anomaly Detection looks at correlations among multiple data to make determinations and can be utilized to catch signs of equipment abnormalities that are difficult for humans to discern.

Visit the booth for a demo. Watch how the AI future pen draws predicted waveforms.

Key challenges:

• Unplanned downtime
• Unable to find out real problem of equipment

Made up by a wireless sensing tool that can measure vibration, temperature and pressure, together with an asset health insight software.

Key benefits:

• 360 view: examine each asset and situation from every angle, interact with data and explore what-if scenarios using real-time and historical benchmark data. This supports operational professionals in failure prediction and maintenance decision support.
• Receive recommendations to reduce the cost of spare parts and supplies
• Measured sensor data can be hosted on premise or in cloud for access anywhere

Visit the booth for a real-time demo.

Reference: https://www.yokogawa.com/library/resources/references/successstory-kyowa-hakko-bio-en/

Key challenges:

• Siloed implementation across assets and operations
• Lack of holistic view of assets
• Delayed decision making

Take a different approach to your asset performance management and enterprise asset management. Composable applications powered by AI and includes applications such as digital twin capabilities enable you to scale up/down and tailor for your current and future needs.

Key benefits of composable approach:

• Plug-and-play solutions to tailor to your current and future needs
• Simulate operations and compare historical data to the latest one in order to predict future changes
• Real possibility of an integrated and single version of enterprise truth

Visit the booth for a demo featuring Digital twins, Right time intelligence and user interface.

Key challenges:

• Ill-prepared with poor network perimeters
• High connectivity exposure from OT assets
• Lack of security monitoring
• No back up plan

Delivers Security Program solutions to reduce cybersecurity risks of customers’ IACS lifecycle. The program offers a total six phases pursuing Plan-Do-Check-Act cycle for continuous improvement and update. components can be tailor made to the customer's current cyber security state and local/international guidelines and regulations.

Key challenges:

• Siloed implementation across assets and operations
• Lack of ROI

Strategize your Digital Transformation with Yokogawa’s proven Smart Manufacturing Assessment. Using the TIER Framework for Digital Priority Assessment, a conceptual framework which underscores 4 key principles that companies must factor into consideration for a holistic prioritisation. This solution includes in-depth assessments and workshops to help organisations design their Digitalisation roadmap.

Visit the booth to talk to our Certified Smart Industry Readiness Index Assessor.

Yokogawa has already accumulated know-how by solving the problems of more than 50 factories and plants using AI.

Now we are incorporating AI into the popular SMARTDAC+ Series Paperless Recorder GX/GP, Data Logger GM and Data Logging Software GA10.

• Visit the AI Product Solution page for more information
• Download the AI Product Solution ebook to understand how AI enabled products can add value to your existing infrastructure

In the analysis of complex continuous processes involving huge amounts of process data, the addition of evaluation models using AI and machine learning can detect signs of deviation from the required quality and take measures to prevent.

Learn about Process Data Analytics,

• Click here for Mitsubishi Gas Chemical
• Click here for Sumitomo Seika Chemicals
• Click here for Osaka Gas Chemical