Big Data and Analytics Stream

A deep dive into big data's influence on HVAC innovation

Building Intelligence

Day two - Friday, September 13

Within the built environment, big data refers to the collection of information from all building systems and the external data used within them. The most common source of big data is building management systems (BMS).

Although this information has been around for many years, historically it has been used to validate temperature complaints or system operation over the course of a week. However, the introduction of analytics is radically changing the situation. It is now possible, for instance, to track and trend historical patterns to help diagnose faults or equipment deterioration. Using this previously unexploited big data is significantly altering the way buildings are managed and maintained.

Call for abstracts

The technical organising committee is calling for presentations on an array of subjects. Content from real-world applications, including building sites, will be favoured. Possible topics include, but are not limited to:

• Case studies of big data applications for the built environment, including specialised building services (for example: vertical transport, security, lighting, fire, indoor environmental quality, power management)
• The future for data-driven strategies
• Big data and achieving carbon neutrality
• Big data and cyber security, including data ownership
• Improving outcomes from big data analytics
• Practicality of Implementing Big Data Enabled Open Architecture BMS – BMS Vendor Perspective
• Flexible Demand Management applications in BMS
• Demand Response Service Providers in HVAC Controls

Technical organising committee

Organising committee

Major sponsor