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Digital modelling: The next generation of building management

Digital modelling: The next generation of building management
Digital modelling: The next generation of building management
Image courtesy of Siemens.

From improving occupant safety and comfort, to bolstering energy efficiency and operational procedures, digital building systems use data as the driving force behind smarter, more resilient infrastructure. According to Siemens, buildings are constantly ‘talking,’ and integrated modelling frameworks are required to convert that information into actionable management practice. 

One of the iconic pieces of infrastructure that features Siemens technology is the Optus Stadium in Perth. As part of the Beyond 150 Competition, Siemens will take this month’s lucky winners on a once-in-a-lifetime trip to Western Australia, with experiences in Perth, Fremantle and Rottnest Island. Designed to celebrate 150 years of Siemens technology in Australia and New Zealand, exciting new travel prizes will be announced every month until the end of the year.

The August prize is now open for entries, and will feature a VIP sports package at Optus Stadium, where Siemens technology facilitates a comprehensive suite of safety, security, and modelling procedures. These digital tools support the stadium to host sporting and entertainment events safely and securely, and are an example of Siemens’ capabilities to upscale automation for larger, more complex sites.

Optus Stadium joins the ranks of other word-class global facilities such as Allianz Arena (Germany) and Mané Garrincha National Stadium (Brazil) which also feature Siemens technologies and solutions. Closer to home, a suite of energy efficiency measures by Siemens at the Melbourne Cricket Ground (MCG) has significantly reduced energy usage, rendering it one of the most environmentally sustainable stadiums in the world.

The Siemens digital lifecycle management portfolio combines Building Twin mapping and Building Information Modelling (BIM) to assess a continual stream of data, from design and construction though to a decades-long operation period. Utilising computerised maintenance systems, and the latest developments in Internet of Things (IoT), this solution is highly modular and scalable to address unique requirements for each type of building, whether it be a stadium, office, school or hospital.

Building information modelling allows for an incredibly proactive approach to project development, with construction beginning only after the entire site has been mapped virtually, accounting and adjusting for every specification. This alone is changing the way that planners and builders work in tandem, allowing for thorough futureproofing and the reduction of costly oversights.

Following construction, BIM objects accumulate static data to form the basis of operational processes over time. Enriched by information concerning geometry, interactions, interdependency, classes and attribute relations, the system can inform vital characteristics including early conflict and error detection, fewer accidents, higher functionality, and budget reliability.

When supplemented by additional automation controllers, BIM can form the basis for advanced fire safety, cyber security, and energy efficiency upgrades, from the initial design stage or as retrofitted networks.

Siemens’ recent acquisition of Brightly and Ecodomus enables software that can visualise digital building twins, creating replicas of an entire site to gain full visibility on the BIM and other systems through common data environments. This 3D modelling technique informs a smarter analysis of building performance, leading to reductions in labour cost and energy consumption.

Founded on the concept of ‘a single source of truth,’ these data collection approaches aim to mitigate a margin for error or guesswork, and streamline record keeping over the building’s entire lifecycle. This creates the possibility for strengthened compliance, visualisation, and effective asset management.

To enter the this prize draw of the Beyond 150 Competition, visit the registration page before 31st August 2022.

 


 

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