Data Analytics & The IoT

Internet Of Things

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Most information of today’s building infrastructure is obtainable through a vast array of complex sensors and meters “The Internet of Things”

“Memoori, an independent market research company on Smart Building technologies has projected that the global market for the Internet of Things in Buildings (BIoT) will rise from $22.93Bn in 2014 to over $85Bn in 2020.”

Source: Memoori Business Intelligence Ltd, “The Internet of Things in Smart Buildings 2014 to 2020”, Published Q4 2014.

Huge amounts of data is wasted because it is to hard to extract value from or is very time consuming to do so.

Understanding Big Data Saves Money

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The pursuit of NABERS ratings is becoming increasingly relevant to both building owners and tenants, given they increase yields and asset values.

Traditional Building Management Systems

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  • View graphics of equipment systems
  • Review reports or history logs
  • Alarms…
    • Need to understand the potential issues when programming the system
    • Single variable – Single point in time
    • Simple limit based relationships – many systems not capable of complex alarm logic
  • Import data into Excel for manual analysis
  • No single tool that works across all kinds of data

“80% of facilities managers use only a very limited amount (20% or less) of the functionality of their BMS”

Source: PikeResearch, Smart Building Managed Services

Enable Big Data Analytics

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Compliments BMS dashboards by taking the next step of interpreting the data to show not only WHERE issues and inefficiencies occur but WHY.
  1. Rethink how you organize data
  2. Rethink how you visualize data
  3. Rethink how you analyse data
  4. Rethink how you consume the result
  5. Rethink who will interpret the data
  6. Rethink who will package the design and solutions

The Analytics Advantage

monitoringLet your data tell the story of where systems can be optimized, errors corrected, shutdowns prevented and costs reduced. Using analytics to lead operating efficiency and cost reduction efforts are rapidly proving its value in achieving – and then sustaining – improvements to the bottom line.

Typical payback periods for deployment are within 6 months to 2 years

Implementing Analytics

Normalises data across multiple systems and formats

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  • Deviation of energy intensity from benchmarks, baselines, goals along with time, duration and cost
  • Degradation of cooling or heating performance
  • Simultaneous heating and cooling
  • Non-functioning sensors
  • Lights or other loads operating when they shouldn’t
  • What matters to you?

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Interpreting the Results

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  • Automatically scans the data to find what matters
  • Automatically generates views on issues detected
  • Identify an issue once – the software finds it forever

Energy Monitoring & Reporting

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Consumption, demand, runtime, rank and exception reports. Normalise by area, degree days and user defined parameters

Other Opportunties

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  • Life Cycle Management
  • Energy Reporting
  • Fault Identification / Troubleshooting
  • Asset Management
  • Risk Management
  • Human productivity Management
  • Power Quality Analysis

Applications for Blue IoT Clients

Target to improve existing building assets and avoid major capital works.
Paybacks between 6 – 12 month

Provide real data & costs to assist business cases for upgrade works – then data to prove the success

Check Maintenance is targeted to appropriate areas.Commissioning checking to verify performance  meets expected outcomes.

What is the Health of your Buildings ? What is the health, satisfaction and productivity of the people occupying those buildings

Set KPIs and benchmarks across different facilities

how can we help you?

Contact us by submitting a business inquiry online.

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