
Introduction
For most
growing cities, service continuity and citizen safety are two ongoing
challenges. Although city managers may passionately want to improve the quality
of life of their citizens, a city is only as good as its underlying physical
infrastructure (i.e. power and water systems, safety systems, traffic
management, etc).
Citizen
expectations are satisfied when responsive and highly available city services
are accessible to them in an easily consumable format. Achieving such a level
of responsiveness requires operational real-time control over the city and its
systems. Crafting this type of solution would incorporate the city’s physical
assets, the service workforce, the changing landscape of the environment, and
the movement and behavior of citizens. To achieve real time actionable
decisions, visibility of the city situation in the NOW is required. This
visibility must be coupled with the ability to enable the workforce to act upon
systems in order to control fluid situations.
The value
of the physical infrastructure relies on real-time control in order to maximize
payback from the initial capital investments. A real-time control system is a
computer system combined with instrumentation (sensors) that operators rely on
to keep services running. Real-time control systems feed data to dashboards and
to enterprise resource planning, asset management, and reporting systems in
order to enable better and faster operational decisions.
Traditional
city government spending patterns demonstrate that attention is often paid to
IT-centric actions while operational technology (OT, the core physical
infrastructure technology) is overlooked. In fact, both IT and OT need to
integrate in order for city-wide strategies to spread benefit across multiple
departments. Most cities already own many control systems that are dedicated to
specific tasks (like power monitoring, traffic control, and water
purification). For example, a city may have multiple water treatment plants
performing similar function. However those separate plants often deploy systems
from different vendors that do not communicate to each other. A city may also
own a portfolio of buildings each with its own proprietary building management system.
These on-premise systems often lack sufficient networking capabilities, making
it impossible to access them remotely, and to consolidate important data.
Thanks to
advancements in technology, these legacy systems now represent a potential
source of advantage for cities capable of analyzing and relating data from
these individual “silos” of systems. A real-time platform is what enables the
systems operators within city infrastructure departments to gather that
important data and convert it into information that helps to avoid crisis
situations that disrupt services.
As cities
work towards achieving a higher degree of operational excellence, there is no “one
size fits all” formula. The transition must be managed as a journey, not a
project. A real-time control platform serves as a framework for enabling
advanced operations.
A number
of issues have been identified that need to be addressed in order to facilitate
improvement of city services.
Issue 1: Manual
collection of data
Cause: Infrastructure lacking
instrumentation, automation and control. Existing automation
and control systems may be geographically distributed and require significant
travel time for operators to manually access them. Examples may include water
wells, treatment plants, municipal buildings, traffic control cabinets, and
power sub-station equipment. Investments in these areas can become obsolete
quickly. As a result, a trend is emerging to outsource the data reporting
infrastructure to service providers.
Issue 2: Overall
situational awareness
Cause: Standalone procurement mindset.
Many cities lack a
common operational platform purchasing
strategy. Over time each department or utility run purchasing operations
independently of all the others. Individual projects are often managed as
standalone procurements, even within the same department. Buying policies are
often designed to minimize initial purchase price and avoid vendor lock-in. The
result can be that a single department has multiple diverse systems controlling
similar infrastructure. Cities find themselves unable to obtain an overall view
from many providers and legacy systems. Where infrastructure has been
outsourced or procured via Build-Operate-Transfer (BOT) type business models,
there can be issues of continuity once the initial service contract has
expired. This leads to sub-optimal prioritization of actions, increased
training costs, and extended ramp-up times for new operational staff.
Issue 3: Inability to
unify and coordinate teams with shared data
Cause: Siloed systems without a
shareable data model.
To meet expectations for resilience
and energy efficiency, teams increasingly need to share long-term planning data
and short-term forecast data to make effective strategies and execute response
plans.
Issue 4: Stakeholders
lack information or distrust it
Cause: Systems designed without
relevant reporting and with inadequate focus on trustworthiness. It is well accepted that “one cannot
manage what one does not measure” but
too much data can rapidly overwhelm city decision maker and interested
citizens. If data points are suspected of inaccuracy, are in conflict, or appear
to tell an ambiguous story, they will be distrusted and ignored.
Issue 5: Lack of synergy
with citizens’ and visitors’ behavior
Cause: Lack of real-time data
optimized for different classes of user. The population of the
city is an integral part of how the city functions, and culture and behavior
directly impact the performance of the city systems and the results achieved. A
new, growing class of citizens is beginning to take manners into their own
hands, and they rely on connectivity to accomplish their goals. For example,
more and more citizens are active participants using mobile applications to
update the city on issues such as public services (failed street lights,
overflowing rubbish bins etc.). Also a new class of energy consumer called “prosumer”
is beginning to emerge. A prosumer is someone who blurs the distinction between
a “consumer” and a “producer”. In the context of a city, prosumers are
consumers of city services who can (if appropriately supported) adapt their
consumption patterns to achieve a better balance of outcomes (like taking a
train instead of a car to get to work if the roads are overloaded).
Issue 6: Lack of
operational innovation
Cause: Inability to simulate, model
and anticipate the effects of change.
City operational teams tend to be
risk averse as they usually lack a safe area for experimenting with new ideas
without the risk of citizen complaints. This leads to a “if it’s not broken,
don’t fix it” mentality that preserves the status quo and does not drive
continuous improvement.
Issue 7: Transitioning
workforce
Cause: Baby boomer retirement,
incoming “digital natives”. The
number of highly experienced
operations, maintenance, process workers who will retire in the next 5 to 10
years is significant. Some managers estimate that 80% of their current team
will be retired in 5 years. This challenge is particularly acute in some
economies where there is a significant lack of qualified people to replace the
existing “baby boomer” generation.
The “time
to experience” has to be shorter than ever for the new workers coming on board
to replace retirees. Increased geographic mobility and changing employment
prospects mean that new hires move on to their next jobs within relatively
short periods – sometimes less than a year. The implication is that cities can’t
afford to spend months on training and coaching before new employees become
effective. The new generation of “digital natives” expects instant access to
the required knowledge; they expect “touch experience”; they expect
collaboration from anywhere; and they expect to learn on the fly. Traditional
operational interfaces used for city systems will not satisfy the expectations
of this new workforce.
Addressing
these issues requires a multifaceted approach. Technology, process and people
have to converge in a way that allows operational teams to perform in a more
flexible manner. In fast moving cities,
decisions must be made quickly, and cannot wait to be passed up the management
hierarchy. Workers need to be empowered to make more decisions, and this is
enabled through access to more information, more knowledge and access to
experience. Thus “workers” need to be transformed into “knowledge workers.”
This blog post was written by Tim Sowell and Johanne
Greenwood as part of the white paper: ” Smart Cities: Strategic Focus on Real-time
Infrastructure Control Systems”. In the very near future we will cover possible solutions to addressing these issues.
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