- April 30, 2024
- OPC Foundation
- News
Summary
The OPC Foundation, a global organization dedicated to interoperability in industrial automation, announces the formation of a new working group focused on leveraging Artificial Intelligence.
Scottsdale, AZ - April 22, 2024 - The OPC Foundation, a global organization dedicated to interoperability in industrial automation, announces the formation of a new working group focused on leveraging Artificial Intelligence (AI). This initiative marks a pivotal moment in the convergence of AI and manufacturing, promising to redefine how engineers interact with data and systems to build cutting-edge solutions.
With AI becoming increasingly integral to engineering processes, the OPC Foundation recognizes the potential for AI technologies to address or ease complex engineering challenges. Through this working group, the Foundation aims to harness AI's capabilities to streamline various aspects of production, from data analysis to code generation, and to redefine the user interface within manufacturing environments. Having a large list of standardized domain information models defined based on OPC UA, the OPC Foundation sees an easy integration of AI leveraging this standardized data into the industrial landscape. The combination of these technologies will provide a quick-to-market solution, addressing the needs of the industry.
"AI represents a paradigm shift in how we approach engineering tasks; and its integration into the OPC UA framework, opens up a world of possibilities for industrial automation," said Stefan Hoppe, president of the OPC Foundation. "By establishing this new working group, we are paving the way for AI-powered solutions that will drive efficiency, innovation and competitiveness in the manufacturing sector."
The working group will focus on several key areas where AI can significantly impact manufacturing processes.
Non-exclusive examples for work items are:
1. Data analysis: Natural language interaction with data, powered by AI, will enable engineers to query and analyze large datasets without needing to learn domain-specific query languages. This approach empowers domain experts to perform custom analytics without the need for a dedicated data science team.
2. Next-generation user interface:
AI-driven interfaces will transform how engineers interact with manufacturing systems. From natural language documentation retrieval to speech-based fault investigation and maintenance procedures, AI will enhance efficiency and enable intuitive interaction with factory equipment.
3. Code generation and documentation: AI technologies will be explored as tools for generating code, explaining existing code, and converting code between languages, thereby, streamlining engineering workflows and enhancing code quality.
"The potential applications of AI within manufacturing are vast, ranging from improving code efficiency to enhancing fault diagnosis," said Dr. Holger Kenn, chairperson OPC Foundation Board of Directors. "By collaborating within this working group, industry stakeholders can collectively drive innovation and unlock the full potential of AI within the OPC UA ecosystem."
The OPC Foundation invites stakeholders from across the industrial automation landscape to join the working group and contribute to shaping the future of AI-enabled manufacturing solutions.
About the OPC Foundation
The OPC Foundation has been promoting the development and adoption of the OPC information exchange standard since 1996. As an advocate and steward of these specifications, the OPC Foundation's mission is to help vendors, end users and software developers achieve interoperability of their manufacturing and automation resources. The OPC Foundation's mission is to provide the best specifications, technologies, processes, and certification to ensure interoperability between different vendors and different platforms securely and reliably from embedded systems to the enterprise cloud. The Foundation supports over 980 members from around the world in industrial automation, IT, IoT, IIoT, M2M, Industry 4.0, building automation, machine tools, pharmaceuticals, petrochemical and smart energy in achieving this goal.
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