Think back in the last decade. How much has technology improved over the
past ten years? Ten years ago, I was
still using a 3.5 inch floppy disk to save word documents which would only hold
1.44 MB of data. Fast forward to the
present, I have a 16 GB flash drive that puts the old floppy to shame. As time progresses, more and more improvements
and advancements in technology will arise, giving way to more uses and easier
access to data. In addition, the way
these new inventions and data are used will affect the way professionals will
analyze different aspects of design.
The way professionals are using technologies to perform
analyses is already being researched and used in many different fields. One prime example is the use of AI algorithms
to analyze and evaluate a treatment for a patient in the medical field. According to researchers, the algorithm that
they tested was not only able to give a better diagnosis of the patient by 41%,
but it also significantly reduced the cost of the whole situation by up to 58%. Since the AI is a computer, it uses data and
historical details to diagnose a patient, rather than a human doctor’s
intuition [3].
Although this is occurring in the medical, this same sort of
use of future tech can be used to analyze the structures of today and of the
future. Companies like GE are already
using this approach of intertwining technology and their production to more
efficiently control their different departments [1]. This method that GE is doing and the way the
tech is used in the medical field could be implemented into a building to help
automate the whole structure through its construction and lifetime. During construction,
BIM modeling can help stream line the design process by having the model ready
for all parties involved, and during the lifetime of the structure, the
different pieces of tech can relay messages regarding different aspects of the
building. For example, by having the
computers analyze the data from the outside temperature and the data of how
often doors and windows are open, the system can help regulate the HVAC systems
more efficiently. GE does this in
regards to manufacturing. By having the
processes and the tech used effectively, a building can add thousands to its value,
and in GE’s situation, add a trillion dollars to the company’s value [1].
One final bit of future analysis that could be used in
intelligent buildings are data algorithms that can detect changes in a material’s
behavior. By using cameras, a computer
could analyze the pixels of an image and decode those pixels to determine what
was being seen in the photo. It could
then use pattern recognition to determine what is going on in the image and
determine if any action is needed [2]. This
is a great tool that could be used in the future to put cameras in different
parts of structure for structural health monitoring. With the cameras hooked up to a system, the
code of a program could determine if a crack was generating in a weak spot and
send notification that a plan of action must be taken. My colleague, Matt Morimoto, goes more in depth about ways to test different structures and seeing if failure is possible in that structure.
With technology changing faster and faster each year, the
possibilities of future analyzing techniques are endless. Only time will tell regarding how these
techniques will turn out. One interesting advancement that can be seen in my group members post, Steve Bartel, is the ability of programmers creating robots that can adapt to situations by using data mining to gather several parcels of information to analyze a situation.
References:
[1] "General
Electric Adds to Its ‘Industrial Internet’." Bits
General Electric Adds to Its Industrial Internet Comments. N.p., n.d. Web. 14 Jan. 2014.
[2] "Real
“touch” Screens and Tasteful Computers: IBM Predicts the Future — Tech News and
Analysis." Gigaom.
N.p., n.d. Web. 14 Jan. 2014.
[3] "Researchers
Say AI Prescribes Better Treatment than Doctors — Tech News and Analysis."Gigaom.
N.p., n.d. Web. 14 Jan. 2014.
Good thoughts on the economic savings that new technologies and techniques can have for companies. Creating these new things are great just for the sake of advancement, but they only really happen if there's someone funding it who stands to make money. It would be interesting to see how much money a building monitored by the learning system I wrote about could save as opposed to a "dumb" monitoring system.
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