Big growth opportunity for big data in smart buildings
Fault detection in 2012 represented 27% of the $16 million global market for building analytics, with optimization accounting for the remainder.
The market for fault detection based on big-data building analytics will expand at a compound annual growth rate (CAGR) of more than 40% during the next five years, according to a new report entitled “Value Added Services in Intelligent Buildings” from IMS Research, now part of IHS.
Fault detection in 2012 represented 27% of the $16 million global market for building analytics, with optimization accounting for the remainder. However, as the market develops and grows, fault detection will take a larger share of the market, IHS forecasts.
Big data is a term used to describe large and complex data sets that can provide insightful conclusions when analyzed and visualized in a meaningful way. Buildings are full of systems that produce data, from building management, which captures temperatures and humidity levels, to access control, which collects occupancy statistics.
“The challenge for big data in smart buildings is to combine the silos of information from different systems into a single unified location where the data can be analyzed,” said William Rhodes, senior market analyst with the Building Technologies Group at IHS. “Some systems allow for an Internet protocol (IP) interface, whereas others require acquisition and transformation of the data before it can be combined. Data naming and labeling is critical at this point to ensure consistency across buildings and equipment.”
After the data is combined it needs to be normalized in order to adjust for seasonality, measurement scales and other factors that may skew the findings.
“Once combined and normalized, the opportunities for big data can emerge,” Rhodes observed. “Analytics and algorithms can be run on the data to identify operational and energy savings. Fault detection and building optimization are the two primary methods to drive savings and provide quick payback on the cost of installing the solution.”
The final step is to provide big data analysis to the relevant stakeholders. The facilities team needs a dashboard to show where the faults are, or will be. In contrast, the chief financial officer requires a dashboard to reveal where the savings are being made.
Ultimately, the big data opportunity for smart buildings lies in achieving savings and improving the bottom line.
- Events & Awards
- Magazine Archives
- Oil & Gas Engineering
- Salary Survey
- Digital Reports
- Survey Prize Winners
Annual Salary Survey
Before the calendar turned, 2016 already had the makings of a pivotal year for manufacturing, and for the world.
There were the big events for the year, including the United States as Partner Country at Hannover Messe in April and the 2016 International Manufacturing Technology Show in Chicago in September. There's also the matter of the U.S. presidential elections in November, which promise to shape policy in manufacturing for years to come.
But the year started with global economic turmoil, as a slowdown in Chinese manufacturing triggered a worldwide stock hiccup that sent values plummeting. The continued plunge in world oil prices has resulted in a slowdown in exploration and, by extension, the manufacture of exploration equipment.
Read more: 2015 Salary Survey