Honeywell Industrial AI Solutions Integrated Software User Guide

June 1, 2024
Honeywell

Honeywell Industrial AI Solutions Integrated Software

Honeywell Industrial AI Solutions Integrated Software

CHALLENGES FACED BY INDUSTRY

Industrial customers are facing multiple challenges today: the market dynamics are changing; the supply chain has been impacted by geopolitical conflicts[1]; and there is shortage of skilled manpower[2] to run the plants.
Meanwhile, customers are saddled with old and aging assets, facing reliability issues, including unscheduled downtime, and are therefore, not able to achieve the optimum production, while incurring the additional costs of ever- increasing compliance and reporting requirements[3].

Industrial customers have reacted by undertaking a Digitalization journey.
On average, the oil and gas industry spent around $25B globally on enterprise IT projects in 2022[4]. While this has led to siloed[5] applications, which provide some benefits, the overall value of digitalization benefits has not been fully captured at the plant or OT level, given that siloed applications may deliver insights which might contradict each other, thus inhibiting faster and accurate decision making.

There is an opportunity for corporations to achieve the next generation of production efficiency by:

  • Unlocking Additional Margin and Throughput: Plants can gain between 5 and10% throughput by optimizing their operations via Advanced Process Control (APC) systems and continuing to maintain APC over the lifecycle[6];
  • Eliminating Unscheduled Downtime: Oil and Gas plants face between 16-24 days of unscheduled downtime on average, which an Asset Performance Management system can help reduce[7];
  • Maximizing Human Potential: In 2021, aging workforce with 23% US, 20% UK, and 22% Canadian workers over the age of 55 in the industrial sector creates knowledge and skill risks[8] due to retirement;
  • Accelerating Sustainability and Energy Transition: In 2022, the cost burden of reporting ESG across industries reached $2B[9], which an Emission Management Solutions can alleviate;
  • Reducing Cyber Risk: 83% of the organizations studied worldwide fell victim to a cyberattack in 2022; average cost of data breach is $4.45M[10].

To address industry challenges, Honeywell is enhancing its existing offerings by integrating probabilistic and deterministic AI models to deliver an “Explainable AI”.
The goal is to improve the speed of decision making, operational performance, reliability and worker productivity through faster and contextualized retrieval of information, knowledge management, proactive advisories, decision support, and corrective actions.

ENTERPRISE

Improve Business Planning, Meet Market Demands and Lower Carbon Footprint
An enterprise-level AI-powered Decision Support System will offer integrated perspectives across the value chain and multiple sites, and guided diagnoses and prescriptive recommendations to help make rapid decisions and enhance business performance.

  • AI-powered enterprise performance for executive oversight
  • AI-augmented workflows for diagnostics and opportunities identification
  • AI-driven intelligent autonomy with codified domain experience and decision support through prescriptive recommendations

EXPERION®
Improve Operations Performance, Shift to Autonomy, and Enable Greater Throughput
The upcoming Experion control system will be powered with artificial intelligence. It will leverage explainable AI in the operator HMI, which can help predict failures and provide step by step guidance to prevent them keeping the plant running in optimal condition.

  • AI-assisted engineering for faster project start-up and day-one-ready operations
  • AI-enabled operations support with predictive advisories, recommendations and troubleshooting
  • AI-assisted service to reduce downtime and keep system operations at optimum level

FIELD
Improve Assets Reliability and Personnel Safety
An Integrated Field Worker system will be powered with artificial intelligence to help facilitate Field Operations and Maintenance and improve safety first time right, by providing technicians and operators to always have the right information, tools, and guidance to complete their job.

  • AI-powered field maintenance through automated job packs, and intelligent scheduling to increase wrench time
  • AI-assisted field operations to increase productivity and safety of operators

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EXPECTED OUTCOMES ACROSS CUSTOMER ENTERPRISE

The Honeywell solution suite is designed to:

  • Increase plant throughput and maintain it over the lifecycle of the plant;
  • Reduce unscheduled and scheduled downtime;
  • Optimize head count by delegating routine tasks to the AI assistant, and allow the AI-infused solution to act as an expert advisor to early career operators and technicians;
  • Reduce operator risk and incident rate by minimizing exposure to hazardous environments, improving compliance by using AI-backed solutions for real-time emission monitoring and reporting.

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THE RIGHT PARTNER FOR COLLABORATION

Honeywell is the right partner to develop customers’ AI- driven solutions, as we seek to understand the primary challenges of our customers and collaborate to develop holistic solutions while maintaining them over the lifecycle of the plant.
Honeywell brings an unparalleled Automation Technology and Process Domain expertise of over 80 years, having installed and maintained more than 18,000 control and safety systems, and granted process licenses to more than 4,000 units.
Honeywell’s “Explainable AI” solution will seamlessly integrate years of domain knowledge, deterministic AI embedded within existing Honeywell applications and the new probabilistic AI technologies, like Generative AI,

Causal AI and Reinforced Learning via knowledge graphs to parse data and deliver insights and recommendations for accurate decision making in real time.
Honeywell has a record of delivering an integrated, meaningful solutions across the Enterprise by partnering with its customers, including ADNOC[11] or Codelco[12].

TECHNOLOGY DIFFERENTIATION

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LET’S COLLABORATE ON AI SOLUTIONS TO TURBOCHARGE CUSTOMER OPERATIONS

Suggested process for a successful collaboration:

  • Appoint a joint Innovation team;
  • Develop the Scope document and sign a MOU;
  • Identify suitable sites for AI solutions implementations;
  • Create an IT/OT Cloud infrastructure for data sharing and running/ training AI models;
  • Identify top use cases per site, gather the relevant data sets, and develop AI models proving value;
  • Potentially expand to other sites.

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References

  1. https://www.ey.com/en_gl/supply-chain/how-covid-19-impacted-supply-chains-and-what-comes-next
  2. https://hiring.oilandgasjobsearch.com/hubfs/OGJS_Outlook_Guide_2022.pdf?hsLang=en
  3. https://www.chemengonline.com/Assets/whitepapers/Oracle_PPM_US_EN_WP_TheImpactofAgeing.pdf
  4. Gartner O&G: https://www.gartner.com/en/documents/4281899#:~:text=Summary,estimated%20%2434.9%20billion%20by%202027
  5. https://www2.deloitte.com/mt/en/pages/strategy-operations/articles/mt-breaking-down-data-silos.html
  6. https://www.mckinsey.com/industries/metals-and-mining/our-insights/the-potential-of-advanced-process-controls-in-energy-and-materials
  7. Internal Customer VOC in OVOC tools
  8. https://www.bain.com/insights/better-with-age-the-rising-importance-of-older-workers/
  9. https://www.thecrudelife.com/2022/11/30/sec-commissioner-says-esg-reporting-to-cost-8-4b-in-2023-up-from-2b/
  10. https://www.ibm.com/blogs/think/uk-en/are-you-keeping-pace-with-evolving-threat-landscape/; https://www.ibm.com/reports/data-breach
  11. https://adnoc.ae/en/news-and-media/press-releases/2019/adnoc-embarks-on-one-of-the-largest-predictive-maintenance-projects
  12. https://im-mining.com/2023/10/19/codelcos-el-teniente-cio-the-remote-lieutenant/; https://www.youtube.com/watch?v=QUjisqHmok4

Honeywell Process Solutions
2101 City West Blvd, Houston, TX 77042
Honeywell House, Skimped Hill Lane
Bracknell, Berkshire, England RG12 1EB UK
Building #1, 555 Huanke Road,
Zhangjiang Hi-Tech Industrial Park,
Pudong New Area, Shanghai 201203

process.honeywell.com

References

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