How Facility Management benefits from Deep Learning
Management benefits from Deep Learning
There were many projects conducted and there were many
applications conducted which had explored the deep learning through the neural
networks within the IoT platform to optimize the
asset utilization in an office building. The Deep Learning Facility Testbed analyses
35,000 measured data points per minute which work to optimize the maintenance
of monitored assets of the building. Because of this amount of data collected,
the testbed relies on the artificial intelligence in order to detect the
anomalies so that there can be an improved visitor experience with the things
like prioritizing the elevator scheduling and also automating temperature and
the lighting controls.
The structure of the building varies and it is very costly to
design the anomaly detection system in order to fit the building. The testbed
application learns as to whether a normal condition would be using the data
aggregated from many of the sensors installed in the facility. For instance,
the testbed can detect the unusual state of the air conditioning equipment in
the kitchen and also the building facility management staff can find out if the
air intake ducts in the kitchen have been closed to avoid the odour by the
It is said that IoT is an important
enabler for the energy efficiency but the large building complex requires many
sensors to track the ambient conditions, occupancy and the traffic flow. Buildings
also have fans, HVAC, light and the elevators which consume ample amount of
energy and monitoring these sensors and the assets is not a small task.
Deployment of the IoT system for a
smart building will maximise the value to a great extent of the big data
collection through the deep learning analytics. The smart building will not
only improve the operational efficiency but will also reduce the maintenance
costs, which in turn will maximise the use of the assets.
It has been noted according to the Navigant Research Smart Buildings and Smart Cities Q3,
2017 that the global smart buildings for smart cities market has been expected
to grow to $10.2 billion by 2026.
In order to make sure that there is full advantage taken of
deep learning capabilities, the FM’s should ensure to have an efficient system
so that there can be collecting and storing of the facilities management data. There
are many facility management professionals who are currently facing the older
equipment and the processors which are not up to the modern technology
standards. The facility managers should keep in mind that by teaching
technology to operate independently, the deep learning will help the facility
managers to improve the decision speed, consistency and the quality. The smart
technology will also reduce the costs immediately.