{"id":68103,"date":"2024-01-18T12:22:02","date_gmt":"2024-01-18T11:22:02","guid":{"rendered":"https:\/\/intellias.com\/?post_type=blog&p=68103"},"modified":"2024-06-24T11:19:18","modified_gmt":"2024-06-24T09:19:18","slug":"digital-twins-for-facility-management-straightforward-path-to-adoption","status":"publish","type":"blog","link":"https:\/\/intellias.com\/digital-twins-for-facility-management\/","title":{"rendered":"Digital Twins for Facility Management: Straightforward Path to Adoption"},"content":{"rendered":"

While most construction costs are rather predictable, ongoing operations and maintenance costs are anything but. These costs fluctuate a lot based on occupancy rates, seasonality, and operating practices. Yet, pulling all relevant data points to get the big picture hasn\u2019t always been easy.<\/p>\n

Computerized maintenance management systems (CMMS), affordable sensors and IoT devices, connected cameras, and asset management software help managers make more sense of physical environments. However, these insights are fragmented, covering only certain operational processes and\/or systems.<\/p>\n

Digital twin (DT) technology<\/a> emerged as a response to siloed visibility.<\/p>\n

A digital twin is a virtual replica of a physical asset (such as a building) powered in real time from on-site sensors, cameras, and various business systems. Digital twin technology helps bring together compartmentalized data sets and systems to perform real-time facility monitoring, analysis, and optimizations.<\/p>\n

But there are even more reasons why digital twins and facility management are a strong match.<\/p>\n

6 facility management challenges to be solved with digital twins<\/h2>\n

The idea of using digital twins for facility management may sound new, though the AEC sector is no stranger to virtualizing physical assets. Building information modeling (BIM) has been in development since the 1970s and was finally documented as ISO Standard 19650<\/a> in January 2019.<\/p>\n

BIM successfully replaced paper printouts created with computer-aided design (CAD) software, bringing more efficiency in the design and construction phases. However, BIM is less useful when it comes to digital facility management.<\/p>\n

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While BIM is a capable asset management (AM) tool it lacks the analytical capabilities and level of information richness for the complex situations and comprehensive data management required, especially during the operations and maintenance (OM) phase.<\/p>\n\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t <\/span> University of Cambridge<\/span><\/span>\n\t\t\t\t<\/small>\n\t\t\t<\/blockquote>\n\t\t<\/section>\n

BIM and digital twins share a number of common principles. Both aim to improve process visibility, project planning, and asset management practices.<\/p>\n

The key difference is that BIM models are static. They don\u2019t account for the impacts of occupant behavior. 3D digital twins, in contrast, are living<\/em> representations of the building. Unlike static BIM models, a digital twin of buildings has real-time information about space usage, occupancy rates, and asset operating conditions, among other parameters.<\/p>\n

On the analytics side, a digital twin facility enables managers to conduct more precise evaluations, simulate future use, and implement predictive maintenance<\/a> scenarios.<\/p>\n

\"How<\/p>\n

Source: building SMART International \u2014 Take BIM Processes to the next level with Digital Twins<\/a><\/em><\/p>\n

By bringing real-time data into decision-making, digital twins help facility managers better deal with the following issues:<\/p>\n

Fragmented data<\/h3>\n

The number of data sources in digital facility management systems has increased exponentially. Smart energy meters, new IoT-powered electrical systems, camera-based security monitoring, and workplace management systems<\/a> \u2014 facility managers have a plethora of avenues for collecting data. It is difficult to operationalize that data, however.<\/p>\n

A Toggled survey<\/a> found that although 78% of facility decision-makers have deployed smart building features, over a third (38%) struggle to integrate the required data analytics into their smart building platforms. As a result, pervasive blind spots remain in costly areas such as energy use, asset servicing, and space utilization.<\/p>\n

A digital twin in facility management helps establish a virtual connection between different physical and digital assets, bringing together compartmentalized data streams into one unified platform for real-time monitoring and analysis.<\/p>\n

For example, a digital twin can include data from:<\/p>\n