advanced sensing networks for smarter...
TRANSCRIPT
© 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. …..
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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
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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
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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
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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
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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
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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
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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
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Optimization - Before and After
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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