#China #Shanghai #Shanghai Electric #Industrial AI #Gas Turbines

Introduction

Industrial artificial intelligence (AI) has transitioned from experimental phases into essential aspects of operational processes. A promising frontier for this technology lies in heavy-duty gas turbine manufacturing—a sector characterized by high-value production and an emphasis on quality and efficiency. Shanghai Electric is at the forefront, implementing innovative AI solutions that enhance not only manufacturing but also lifecycle services for turbines.

AI in Manufacturing

Shanghai Electric combines its engineering expertise with operating data to revolutionize how gas turbines are built. The company employs a variety of AI applications spanning from flexible blade manufacturing to intelligent operations and maintenance (OM). This signals a shift towards integrating advanced technology into traditional manufacturing settings.

Flexible Blade Manufacturing Process

Key to the production of gas turbines is the manufacturing of blades. These components vary significantly in size, shape, and production pathways, necessitating a flexible approach to manufacturing. Shanghai Electric's production line utilizes AI-driven technologies, including vision systems, digital twins, intelligent scheduling, and robotics, to support varied blade production needs. An AI vision system identifies blade materials from random piles, achieving an impressive picking accuracy of over 99.99%. The production line features a fully integrated system linking loading, machining, inspection, and packing, enabling seamless transitions between automated production and manual operations. This flexibility ensures that the production meets diverse client needs efficiently.

AI-Powered Quality Inspection

In addition to manufacturing flexibility, maintaining product quality is paramount. Turbine rotors, as critical components, are subject to rigorous quality assurance protocols. Shanghai Electric has developed an AI-based inspection terminal that utilizes robotics and machine learning to monitor welding operations in real-time, allowing for the early detection of defects. This system employs a collaborative robot equipped with a custom end effector, which can quickly adapt its movements based on the welding cycle. Impressive connectivity through 5G ensures rapid data processing, with inspection results returned in seconds. Notably, this advanced feedback loop bridges practical manufacturing with digital insights, establishing a comprehensive record of quality assurance.

Enhancing Operations and Maintenance

Shanghai Electric's innovations in AI extend beyond manufacturing; they are vital in optimizing operations and maintenance. The company's SIMPLE platform draws insights from over a million hours of operational data from more than 60 turbine units. This platform harnesses AI to enable real-time monitoring and dynamic performance optimization, providing crucial early fault warnings.

With cloud-edge coordination, the platform integrates design and operational data into a cohesive workflow that involves monitoring, diagnosis, and corrective actions. This shift towards proactive maintenance not only prevents downtime but also enhances the longevity of the turbines.

Furthermore, remote collaboration tools facilitate expert guidance through augmented reality, enabling technicians to receive real-time advice based on current operating conditions. This support is invaluable, especially for international projects, ensuring that expert assistance is always within reach, regardless of location.

Future Outlook

Looking ahead, Shanghai Electric aims to refine its manufacturing and operational processes further. As the company expands its market reach internationally, it continues to validate its AI capabilities through real-world applications. The goal is to ensure that power plants receive reliable operation and timely maintenance support, bolstering the economic aspects of turbine operation over time.

By leveraging insights gained from manufacturing data, Shanghai Electric is not just enhancing its production capabilities but is also setting a new standard in the heavy-duty turbine sector. The integration of AI will likely redefine how industries approach manufacturing and lifecycle services, underscoring the essential role of technology in the future of energy production.

Conclusion

In conclusion, Shanghai Electric’s integration of industrial AI into heavy-duty gas turbine manufacturing represents a significant leap towards more efficient and quality-focused operations. With these advancements, the company is positioned to meet the growing demands of the power generation sector while laying down the foundation for sustained global competitiveness.