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Relying on artificial intelligence: How ABB is revolutionizing industrial process automation

June 18,2025

Introduction

As industrial digitalization continues to deepen, artificial intelligence (AI) is gradually becoming the core driving force for automation innovation. ABB, as a pioneer in the global electrical and automation field, is deeply integrating AI technology into its diversified products and solutions from a forward-looking perspective, in order to improve operational intelligence, optimize process efficiency and prevent faults. With the help of advanced machine learning, real-time data analysis and intelligent prediction technology, ABB is leading the upgrading and reconstruction of automation models in multiple industries such as manufacturing and energy.

 

Using AI to achieve predictive maintenance and equipment efficiency improvement

Among many AI application scenarios, ABB's most striking achievements are reflected in predictive maintenance. By deploying self-learning algorithms in the control platform, the equipment can self-monitor the operating status, identify operating anomalies and predict potential faults in advance. This forward-looking maintenance method not only reduces the probability of unplanned downtime, but also significantly improves equipment utilization.

For example, ABB's Ability™ asset performance management platform uses AI to perform pattern recognition and trend analysis on sensor data of motors, pumps and compressors, thereby triggering early warning or automated response mechanisms. This not only extends the service life of equipment, reduces maintenance costs, and effectively curbs safety risks.

In addition, AI models for optimizing production scheduling and energy distribution are also widely deployed. It is this set of intelligent scheduling strategies that minimizes resource use and maximizes operational efficiency. In high-risk industries such as petrochemicals, mining, and fine chemicals, this AI optimization method is particularly economic and operational.

 

Process control optimization leverages real-time intelligent analysis

It is the embedding of artificial intelligence technology that makes process control smarter and more adaptive. ABB has achieved precise control and dynamic response mechanisms based on real-time data by integrating AI algorithms into its distributed control system (DCS).

If changes occur on key parameters such as temperature or pressure, the system can autonomously complete parameter correction and optimal adjustment based on adaptive modeling and reinforcement learning algorithms without human intervention. For example, in chemical processes, this capability ensures the continued stability of product quality and production capacity.

AI not only extracts value from data collected by sensors, but also integrates multiple data sources such as historical records and enterprise resource information to output operational suggestions and even automatically optimize closed-loop control strategies. Such functions not only improve production yields, but also help companies meet the high requirements of compliance for accuracy and stability.

 

Intelligent robots and new models of human-machine collaboration

ABB has also made important breakthroughs in the integration of robotics and artificial intelligence. Industrial robots that combine AI perception and visual systems can flexibly complete precision operations such as identification, assembly, and detection, and are highly adaptable.

Collaborative robots launched by ABB focuses on human-machine collaboration. It is with the assistance of AI that they can perceive human actions in real time and respond safely, allowing robots and humans to share workspaces, improving collaboration efficiency while ensuring operational safety.

Not only that, generative artificial intelligence technology has also been introduced into the operating interface by ABB. Based on natural language processing, the system can now realize intelligent command reception and task execution through voice or text interaction. Such a convenient human-machine communication mechanism has greatly improved operational efficiency and employee experience.

 

Conclusion

The deep integration of artificial intelligence has brought leapfrog development to ABB's automation platform. From predictive maintenance to process optimization, from intelligent collaboration to natural language interaction, AI is constantly reshaping the boundaries and depth of industrial process control.

Not passive to changes, but actively predicting and guiding trends - this is the new form of industry that ABB has achieved with AI. At a time when digital transformation continues to accelerate, ABB is using its innovation engine to enable various industries to move towards higher standards in terms of efficiency, safety and sustainability.

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