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FEATURE MANUFACTURING EFFICIENCY INDUSTRIAL AI:
AN ENABLING TOOL AND PARTNER
Amid a highly competitive business landscape, the future of optimised and efficient operations will need to be created using foundational pillars of highly specialised technologies, such as AI, argues Rashesh Mody, EVP, business strategy and realisation, AVEVA
O
ver recent years, sustainability has become a key component and driver for business success. This focus on benefiting the
environment is enabling businesses to create value for their stakeholders, while conserving the planet’s resources and supercharging operational performance. It’s no wonder then that recent research from AVEVA reveals 89% of industrial businesses are investing heavily in digital transformation to meet their sustainability goals. Industry leaders are now looking ahead to
application-specific artificial intelligence (AI) in the cloud to help them sustainably grow revenue and optimise production efficiency. These companies are turning to digitisation to dramatically reduce operational risk by using predictive maintenance and AI-driven scheduling. AI is an expansive term that describes different mathematical techniques with the ability to recognise patterns, detect anomalies, provide expert guidance, and make predictions about what might happen next. When these capabilities are specifically primed for industrial operations, the benefits are exponential. The power of AI comes from connecting the
organisation’s data and then utilising AI to gain insights into operations. This makes it possible to establish better ways of working, operate much more efficiently, and create environmentally- conscious industrial workspaces.
AI BENEFITS AI advancements could drive significant wins in the coming years, from slashing fuel consumption and improving carbon capture to lowering emissions and maximising equipment lifecycles. These AI-powered solutions are already available, and able to support across all industries. AI solutions are already helping industrial
businesses engineer faster through suggestive design and simulation; operate at optimal production levels for maximum efficiency; provide
decision support to connected workers; reduce waste for maximum yield and recognise potential equipment issues before they can occur. These applications link operations, engineering,
maintenance and IT data to provide a single source of truth that benefits businesses, customers, ecosystem partners and the planet. Additionally, by leveraging Industrial AI,
companies gain the knowledge and agility to respond to changing conditions in real-time for greater safety, profitability and sustainability. It’s also possible for companies to gain insights into engineering and operations to develop performance calculations and assess the impact AI is having on improving CO2 emissions.
AUTOMATION IS KEY In just a short space of time, AI has evolved from simple task-based formats to objective- driven applications with human supervision. For example, by leveraging in-house company data alongside highly specialised and customised Large Language Models (LLMs), an employee can ask natural language questions of a system with minimal setup required: For instance, “Can I see a 3D model of my wind farm?” or “Which windfarm has the lowest energy output this week?” Another example is the use of specialised
AI-assisted vision technology to increase situational awareness and prevent machine failure. It’s now possible to employ infrared or thermal cameras to locate visual anomalies, or even identify if an operator is missing a hard hat. Companies around the world are already
realising massive sustainability and productivity benefits through applied industrial AI. For example, US power giant Duke Energy saved more than $250 million by installing predictive models which reduced errors, enabled faster results and boosted ROI. Schneider Electric was able to prevent three full factory outages by predicting and preventing issues in advance.
14 DESIGN SOLUTIONS JULY/AUGUST 2024
AI CONTINUES TO EVOLVE However, AI is not a replacement for human intellect. Rather, it should be viewed as an enabling tool and partner. AI will continue to evolve in stages, but at a significant trajectory. It is destined to progress from today’s software that assists humans, to software that works alongside humans – workers who are deeply connected to the technologies through easy-to-use interfaces. What is clear is that any company looking to lead its industry in the coming years will need to thread highly specialised AI throughout its operations. Those that master ultimate automation will be those with the strongest foundations in the sustainable industrial era of the future.
AVEVA
www.aveva.com/en
EXPLOIT THE
ADVANTAGES OF IOT WITH MONEO CLOUD
moneo Cloud from ifm is designed to enable companies with unprecedented efficiency, scalability, and data-driven decision-making capabilities. According to the company, moneo Cloud as a critical tool for industries aiming to leverage digital transformation and fully exploit the advantages of IIoT. By accessing it online from any location with
just an internet connection, an edgeGateway device, and a Moneo subscription, you can start improving your manufacturing processes, the company explains. ifm has removed the need for customers
to manage server infrastructure and constant software updates. Now, from unboxing to retrieving essential data from the Cloud can be accomplished in under 30 minutes. The moneo Cloud platform offers a straightforward route to collecting machine or process data. It allows users to effortlessly configure sensor parameters, analyse and visualise data on user-friendly dashboards. Making process data quickly and easily visible, alongside the option to provide alerts to the user, allows businesses to make quick decisions based on data. moneo Cloud, paired with the Edge
controller, simplifies the integration of data – whether it’s sourced from existing sensors, PLCs, or new devices like power meters – making the onboarding process seamless.
ifm electronic
www.ifm.com/gb/en
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