Heavy Equipment Enters Digital Era

The heavy equipment industry is undergoing a significant evolution, transitioning from a purely mechanical focus to the development of software-defined products (SDPs). This shift, driven by the need for greater efficiency, autonomy, and customization, is centered on the use of a comprehensive digital twin as the core of machinery design, validation, and operation.

“Software and electronics are the biggest advantage for original equipment manufacturers (OEMs) developing off-highway equipment today, as they create new revenue streams and save some of todays of the development costs of mechanical systems that previously influenced buyers' decisions,” writes Hendrik Lange, Director of Heavy Equipment Industry, Siemens Digital Industries Software, in a press release. “But, as in other industries undergoing similar transitions, the creation of SDP requires a new approach. A digital way forward.”

Heavy machinery has historically been a pillar of global development, facilitating everything from food production to raw material extraction. However, contemporary operational demands present new challenges: equipment must operate for longer hours, in more remote locations, and with increasing autonomy. Investors now expect maximum uptime, with operations in some cases extending 24 hours a day, seven days a week.

This scenario has brought the industry to an inflection point. The traditional manufacturing of heavy machinery is characterized by low production volume and high customization requirements, and responding to new demands with mechanical innovations alone is insufficient and economically unfeasible, says Siemens. Here, the integration of software and electronics becomes the main competitive differentiator. But for this integration to succeed, software requirements must be incorporated from the earliest development stages into a virtual model known as a digital twin.

The Digital Twin as a Development Axis

Siemens’ new approach to creating SDPs in heavy machinery is based on the comprehensive digital twin concept. By starting the design process with a complete virtual model from day one, companies can more effectively communicate system requirements to operators and collaborate with suppliers to achieve proper integration in less time. This digital model serves as a scalable framework that accompanies the product throughout its entire life cycle.

Treating software and hardware as components of a unified whole from the beginning is fundamental. This holistic view, facilitated by the digital twin, creates transparency that allows OEMs to accelerate development cycles and reduce overhead, Lange says. One of the most significant operational advantages of a well-integrated software system is the ability to detect and correct errors more quickly compared to hardware modifications.

New Business Models and Profitability

Incorporating software-defined functions offers a direct path to greater profitability for both manufacturers and operators, explains Siemens. For example, an OEM can consolidate what were previously multiple machine models with different performance features into a single hardware product. Specific performance and capabilities can be "locked" or enabled through software. This reduces manufacturing and inventory management complexity for the OEM.

For operators, this model offers unprecedented flexibility. Instead of purchasing the most expensive and feature-rich machine from the outset, they can opt for temporary software upgrades to meet specific demands. A farmer, for example, could boost their combine's performance during the critical harvest weeks to gather more in the same amount of time, reducing the total cost of ownership during less active periods. For this model to be viable, the software interaction must be intuitive and adapt to the demanding work schedules of the equipment.

Reliability is a non-negotiable requirement in the heavy equipment industry. Unlike a software bug in a consumer device, a flawed update in a construction or mining machine can compromise its functionality, operator trust, and even site safety. Therefore, validating updates before their field implementation is critical.

Simulation emerges as the solution to this challenge. Emulation tools like PAVE360 allow manufacturers to virtually test how a software update will interact with electronic components and hardware in a realistic context. This process is valuable for developing autonomous operation systems, as it helps engineers understand how an integrated system will react without human supervision during both initial development and continuous iterations throughout the equipment's life. When a new situation is identified in the field, it can be integrated into the digital twin to enrich future simulation models.

The software architecture must prioritize safety to protect people and the equipment itself. For example, an error in an autonomous driving system might require manual operator intervention, while a tool malfunction could cause the tool to move to a safe position to prevent damage.

Durability in Extreme Environments

Software durability is as important as mechanical robustness, especially in applications such as mining. In these environments, equipment operates almost continuously under harsh environmental conditions. The software must be resistant to failures caused by factors like moisture or dust, which could lead to a short circuit.

Simulation and emulated testing are essential to design systems that mitigate risks from the start. To achieve this, designers and suppliers throughout the value chain must have access to system requirements, an objective realized through digitalization and the use of integrated PLM, CAD, and ECAD tools, says Lange.