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Shaping the next generation of crane technology—one update at a time

As industries move toward more intelligent and adaptive technologies, Konecranes is redefining material handling with a future-ready ecosystem powered by advanced digital tools, modular software, and seamless remote updates.

  • Continuous Improvement: Konecranes focuses on continuous improvement to boost operational efficiency, safety, and long-term value by enabling cranes to be updated remotely, much like software in other industries.
  • Modular Software Architecture: The development of a modular, microservice-based software architecture allows for remote updates and new feature activations without on-site intervention, ensuring cranes remain dynamic and improve over time.
  • Data-Driven Optimization: Advanced crane sensors and data analysis optimize performance and predict maintenance needs, minimizing downtime and enhancing safety, while robust security measures ensure compliance with industry standards.

 

Konecranes’ approach to continuous improvement boosts operational efficiency and sets new standards for safety, reliability, and long-term value—reshaping the way cranes are used in modern industries. Nearly a decade ago, Konecranes set out with a bold vision: to create cranes that could be updated remotely long after delivery, much like software is increasingly evolving in many other industries.

“The idea was to ensure our equipment could evolve over its lifecycle,” says Timo Harjunen, VP of Digital Center of Excellence. “We wanted cranes to remain secure, functional, and efficient through ongoing software updates that meet evolving customer needs and regulatory demands.”

This vision led to the development of a modular, microservice-based software architecture. Cranes are equipped with systems that enable updates and feature activations remotely without requiring on-site intervention.

”We’re now able to deliver new capabilities or enhance existing features as our customers’ operational requirements change,” adds Henri Gört, Machine Data Platform Lead. “Our cranes are no longer static assets but dynamic tools that improve over time.”

 

Modular innovation meets advanced technology

At the core of this transformation is a system powered by containerized software and an A/B partitioning model. Updates are first applied to an offline partition and only activated after successful testing, ensuring smooth and reliable performance.

“If any issues arise during the update, we can revert to the previous version without disrupting operations,” Gört explains. This modular design also allows new features to be added on demand, ensuring flexibility as customer needs evolve.

Konecranes’ digital strategy is built on a foundation of data collection and analysis. Advanced crane sensors monitor a wide range of metrics, from rope angles and working hours to component wear. This data is securely transmitted to a central platform, where machine learning algorithms process it to optimize performance.

“By predicting maintenance needs before issues arise, we can minimize downtime and enhance safety,” says Liam Nguyen, Product Owner of the Digital Experience Platform. “For instance, sensor data helps us reduce sway during lifts, preventing unnecessary strain on components and reducing the risk of accidents.”

This proactive approach extends the lifespan of equipment and provides tailored operational insights that help customers improve efficiency. However, while advanced technology enhances performance, ensuring robust security is equally critical in a connected ecosystem.

 

Security and compliance in the digital age

With increased connectivity comes the challenge of cybersecurity. Konecranes embeds robust security measures at every stage of its product lifecycle, adhering to industry standards.

“Staying ahead of security risks is essential,” says Gört. “Our systems are designed to meet stringent regulations, ensuring our equipment remains secure and compliant throughout its lifecycle.”

These regulations also present opportunities. The EU Data Act, for instance, allows customers to access raw data from their equipment, which can be used to provide enhanced diagnostics and predictive maintenance. Remote updates deliver clear benefits to customers. Regular updates improve functionality, safety, and efficiency, ensuring that equipment investments remain valuable over time.

“Our approach provides peace of mind,” says Harjunen. “Customers know that their cranes will remain future-proof, adapting to new challenges and technologies without needing costly replacements.”

Clear communication is a vital component of this strategy. Updates and maintenance requirements are shared proactively with customers via service technicians and digital portals, ensuring transparency and trust.

 

Service Technician

Setting trends, not just responding to them

Looking ahead, Konecranes is focused on deeper integration of artificial intelligence, machine learning, and edge computing. These technologies will enable cranes to use AI for better data insights, helping operators make accurate decisions in real-time, improve operations, and maintain strong safety measures.

“AI is already helping us predict component failures and optimize maintenance schedules,” says Harjunen. Nguyen sees even greater potential in expanding data collection. “By understanding usage patterns and operational contexts, we can develop even more tailored solutions for our customers,” he explains.

By embracing digital transformation and focusing on modular, data-driven solutions, Nguyen adds that Konecranes is redefining how cranes can be used.

“Our commitment to innovation, sustainability and security ensures we remain at the forefront of material handling technology. With cranes that improve over time, we’re equipping our customers for the challenges and opportunities of the future,” Nguyen concludes.

Through continuous improvement, advanced technology, and a customer-centric approach, Konecranes is shaping the next generation of crane technology—one update at a time.

 

#konecranes #cybersecurity #technology

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