September 2013 |
[an error occurred while processing this directive] |
Who R We? or Annoying Acronyms R Us It may be not so much Who R We? as what do we call ourselves? |
Ken
Sinclair, |
Articles |
Interviews |
Releases |
New Products |
Reviews |
[an error occurred while processing this directive] |
Editorial |
Events |
Sponsors |
Site Search |
Newsletters |
[an error occurred while processing this directive] |
Archives |
Past Issues |
Home |
Editors |
eDucation |
[an error occurred while processing this directive] |
Training |
Links |
Software |
Subscribe |
[an error occurred while processing this directive] |
Who R We? or Annoying Acronyms R Us is our August theme. It may be not so much Who R We? as what do we call ourselves? A lot of discussion by industry folks on various LinkedIn groups about these names and acronyms.
This is not a new problem as our original mission statement when we
started our magazine 15 years ago read “Automated Buildings wants to
discover the who, what, where, when and why of this fascinating field.
The names given to building automation systems are varied. We will
group and provide connection to all of these plus lighting control
companies, fire/life safety, security, the sensor, actuation, and end
device industry and anything else that is now becoming part of an
automated building system”.
When we wrote those words years ago, I am not sure I had a good vision
of what the anything else might mean, but it has become a good catch
all. Struggling to understand the impact of the internet and open
standards was my first vision but the collision with IT, the cloud,
wireless and the evolving anything else has engulfed us. My review this
month called Who R We? provides an overview and connection to some of
these discussions: BAS, BMS, EMS, FMS, EMCS, DDC, ATC, BIM, BACS, The
Automation System, IA, CCS, RCMS, iBOS, CTM, BOBs, A Clouded Cluster of
Annoying Acronyms, BEMS, BMCS and Smart Buildings are but a few.
Possibly the diversity in our naming of our corner of the industry is
part of our combined success. As we move forwards in a converging
collision to becoming an integral part of the information technology,
we need to start thinking about how we will provide difference to our
unique collection of real time building related data in the cloud. BAS
- Building Automation System seems to be evolving as the cornerstone
for sub sets to grow from. We are pleased with this direction as it
keeps our magazine title relevant.
This being said two of our contributing editors independently provided
great articles speaking to Smart Buildings. We are doomed to have
agreement on a name for us all to huddle under so we need to hang loose
and go with the name and definition provided by the user... smile. Both
articles explain the functional creep that is our industry.
From this article—Defining a Smart Building: Part One by Jim Sinopoli of Smart Buildings LLC, comes this wisdom:
Building owners, designers, contractors and facility managers are all
trying to build or renovate buildings identified as “smart” buildings.
In general we think of smart buildings as being innovative, using
advanced technology and materials, contributing to reduced energy usage
and the sustainability of the building, and providing more efficient
and effective operation. But the high-level, generic understanding of
smart buildings doesn’t do justice to the concept or assist design
teams or contractors, and it really doesn’t reflect the complexity of
today’s buildings.
Generally, ethereal attributes describing smart buildings don’t help in
defining a smart building in a way that the industry can have a common
understanding of the concept. In contrast, look at “green” buildings or
energy efficient or sustainable buildings; here you’ll find dozens of
countries with environmental or energy building certifications with
specific details on the requirements to be certified as a green
building. Recall twenty years ago when the USGBC was formed, the
idea was to provide the building industry with a system to define and
measure “green buildings”. We need a similar effort for smart buildings
to support the building industry.
There have been various attempts to explain a smart or intelligent
building. They include the Asian Institute of Intelligent Buildings
(AIIB), the Building Research Establishment Ltd., the Intelligent
Building Society of Korea (IBSK), the Shanghai Construction Council
(SCC), the Architecture and Building Research Institute (Taiwan) and
finally the Smart Buildings Institute (SBI) in the USA.
(www.smartbuildingsinstitute.org)
The SBI certifies buildings in the Americas as well as internationally.
The SBI certification structure is similar to LEED certification,
having prerequisites with other measures credit-based where applicants
earn points during construction and operation on the building.
Defining the attributes of a smart building cannot be done in 1000 or
1500 words; buildings are too complex and the features of a smart
building too numerous. So what follows is the first of several articles
that will “frame” the major attributes of a smart building as well as
provide details. This initial article will focus on three of the major
attributes of a smart building: cabling infrastructure, lighting
control systems and facility management tools.
[an error occurred while processing this directive]
From this article—Big Data for Smart Buildings by Nirosha Munasinghe,
contributing editor, comes insight to the changes that are occurring:
Big Data describes a set of complex data that is difficult to process
using traditional database management tools. The processing includes
capturing, storing, searching, sharing, transferring, analyzing and
visualization. Big Data is driven by significant growth in data sets
over the last few years due to growth in unstructured data from mobile
devices, sensing technology, wireless sensors, and social networks,
satellite images, photo/video and speech, along with the reduction in
cost of storage. The data growth has put limitations on the current
rational database technology in obtaining the right data at the right
time, which has introduced a new wave of database architecture such as
MapReduce and Hadoop. The fundamental advantage of current big data
architectures is the ability to process unstructured data. The
traditional database tools required structured datasets with
relationships to process the data. However architecture such as Hadoop
and MapReduce allow processing of unstructured data at high speed.
Hadoop allows big problems to be decomposed into smaller elements so
that analysis can be done quickly and cost effectively. It is a
versatile, resilient, clustered approach to managing files in big data
environment. This architecture has been a key breakthrough in data
management as unstructured data is ever increasing in our day to day
life.
Our August issue is a collection of data, big and small described in
many annoying acronyms smattered throughout several great articles,
columns, reviews, new products, interviews and of course the steady
stream of news depicting our rapid evolution and journey to discover
Who R We?
[an error occurred while processing this directive]
[Click Banner To Learn More]
[Home Page] [The Automator] [About] [Subscribe ] [Contact Us]