© 2011 IBM Corporation

Advanced sensing networks for smarter buildingsHendrik F. Hamann et al.IBM TJ Watson Research Center

2 July 25, 2012

Outline

1. Scalable Building Sensing Technologies - Measurement and Management Technologies (MMT)- Low-Power Mote Technology (LMT)

2. Applications1. How to retro-fit instrument a “legacy” building and

develop analytics in a day ? NY Metropolitan of Art

2. How to scale a building management solution ?Telecommunication Facilities

-------------------------------------------------------3. Hospitals4. Manufacturing Sites5. Data Centers6. Greenhouses7. …..

3 July 25, 2012

Measurement and Management Technologies (MMT): High resolution and real-time sensing systems

Deep analytics Management and optimal control

A Research Prototyping Vehicle : Measurement and Management Technologies (MMT)

Low Power Mote Technology (LMT) & Novel Sensors

Physical ModelingHeat Transfer, Energy

ACU Control, MPC, Alarms, Dashboards

4 July 25, 2012

Low-Power Mote Technology (LMT)

LMT—a general wireless data gathering and control technology

World’s lowest power consumption– 5 to 7 year lifetime with two AA batteries– Forms mesh network, highly reliable, robust and scalable

Very flexible and modular design

Only Technology with localization capabilities (down to 1-2 feet)

Environmental sensing:– Temperature and Humidity– Dew point– Pressure, Air flow– Particulates– Carbon dioxide– Presence and Occupancy– Corrosion and Air quality– Smell– Door positions– Assets, Location

5 July 25, 2012

1. How to retro-fit and instrument a “legacy” building ? - NY Metropolitan of Art Customer objective: Improved preservation of art by monitoring,

modeling and managing micro-climatic conditions

Monitoring and management solution must be aesthetically pleasing- No wires, ultra-small footprint- no disruption to the business

LMT/MMT first deployed at the Cloisters of Metropolitan Museum

- national historic landmark - assembled from 5 medieval French

cloisters from 15th century- hosts over 5000 works of art

System senses and manages- temperature, humidity, corrosion,

contamination, light levels, air flow, pressure, people movement, door positions etc

6 July 25, 2012

Deep Analytics and Modeling

Real-time data is directly fed into operational models which leverage deep physical analytics, to derive micro-climatic conditions in the museum.

Models yield 3D temperature, humidity, dew point and contamination variations to guide conservators for optimal placement of works of art.

Late Gothic Hall

3D Heat Distribution

7 July 25, 2012

1. Predictive Analytics of micro-climatic conditions by forecasting• Onset of increased condensation risk (as a function of outside/inside temperatures,

humidity and numbers of visitors)• Air quality (corrosion, VOC) (as a function of numbers of visitors, temperatures, humidity,

wind direction, outside contamination levels)

2. Optimization for improved art preservation• Optimal placement of works of art within the museum’s environment • Numbers of visitors• Optimize HVAC control system

Improved and more scientifically based approach for art preservation in a museum’s environment

http://www-03.ibm.com/press/us/en/pressrelease/34696.wss

NY Metropolitan Museum of Art - Results

8 July 25, 2012

Other Results for LMT/MMT in IBM’s Data Centers

IBM – Internal MMT is being deployed in all of IBM strategic DC Space (4M square feet) Each Site being measured and tracked by fixed set of metrics including PUE, Best Practices,

Energy Efficiency, Air flow Leakage etc. System is fully integrated into BMS and Asset Management

External Deployed in over 150 DCs world-wide Over 300 MkWhours of annual savings to date More than 10 % of energy reduction

http://www-03.ibm.com/press/us/en/pressrelease/36441.wss

9 July 25, 2012

MMT/LMT solution deployed Combination of measurement, base and dynamic model provides near

real-time 3D temperature distribution Other Analytics: Humidity, Dew Point, Risk, Cooling Power, Air flow, Air

conditioning unit utilization etc.

Heat Distribution Analytics

Real-time temperature

Heat Map Layer

10 July 25, 2012

Optimization - Before and After

11 July 25, 2012

Innovation Opportunities

Joint First-OF-A-KIND (FOAK) Project between CBRE and IBM Research to

demonstrate broad applicability and superiority of Low-Power Mote Technology to CBRE

Temperature, Humidity, Pressure, Air Flow, Particulates, Carbon dioxide, Smell, Occupancy, Door position, Air quality, Presence

develop a “scalable” solution to support CBRE’s business objectives

Real-time Analytics

Software platform allowing data management, event handling, alarms, dashboard, visualization, trending