A city is made up of millions of
assets, ranging from streetlights to traffic signals to garbage
cans in the park. A significant amount of a city’s budget is
spent on maintaining these assets, so any additional assistance can
have a huge impact on the budget.
A smart city utilizes technologies
such as IoT (the Internet of Things) to provide real-time updates
on the status of those assets, such as a key light being burned out
or an unexpected change in the volume of traffic. This
information helps in the short-term, as it allows for better
real-time decisions to be made, and in the long term, as it allows
for better planning and resource
allocation.
The result is a city that is safer,
has more reliable resources and offers better services to its
residents.
Every year, cities and regions are
being asked to do more with less resources. This is further
complicated by the fact that many cities have aging infrastructure
that needs to be replaced. Smart cities give civic
leaders the ability to better utilize the resources they have to
offer better services to their
residents.
This means better coverage
for first responders, cleaner parks, reduced vandalism and
more, all while reducing the cost of
service.
The first part involves the
collection of key data from assets. In some cases, such as
determining the flow of traffic, sensors are used to gather key
pieces of real-time information. In other cases, the device
itself (such as a streetlight) may have the ability to report its
status by using means that are built into the
device.
The second crucial step is the
communication of these key pieces of information. It may be
using the city’s own landline or Wi-Fi network, or it may be
using a wireless technology, such as the cellular network, to
transmit the status of key items.
The third step is taking
this information and making it “actionable” by the city
staff. This may be in the form of a text-based alert, it may
be an alarm sounding at a monitoring centre or a team member
pulling up real-time charts from a secure web page. In any
case, the data has been transformed into a form that allows action
to be taken.
The final step is the ability to use
the data to highlight recent and historical trends. The data
can be “crunched” in a way that allows finance teams to
understand the true costs of a project, as well as to allow leaders
to determine the priority of key
projects.