Innovation Journal - Cognizant

RETHINK - INTELLIGENT INFRASTRUCTURE
The existing infrastructure may not be energy efficient, and there
may be a need to identify energy consumers and arrest energy
leaks.
And, finally, there is a need to extract additional asset insights, such as
average lifecycle, power consumption patterns, environmental
conditions, etc.
Real-time asset management solutions cannot be easily and rapidly
deployed.
The team defined the objectives of Cognizant Intelligent Infrastructure
as:
The Chief Architect’s team from the EMS Center of Excellence
envisioned Cognizant Intelligent Infrastructure (CII) for smart and
intelligent asset management. They believed developing such a
solution could improve information integrity and operational efficiency
while streamlining the business processes associated with maintaining
and sustaining assets over their lifecycle.
In an asset-intensive industry, data is collected from different assets
placed at various locations. The acquired data is stored in a
central repository and then contextualized for providing insights
such as:
Whether the asset is functioning properly.
Whether the operating environment is safe.
Design a common communication infrastructure for interfacing with
diverse systems and applications to enable remote monitoring.
Develop an intelligent decision support system to tap into the
operational data from a large distributed asset base.
Provide a set of tools and information to improve proactive and
reactive decision making.
Create a platform that enables a systematic approach
to handling degradation, maintenance and renewal of
assets, thereby improving operational efficiency.
Enable interoperability for coexistence with
newer computing platforms, like the cloud.
Whether the asset is nearing end of life.
Whether assets are available for
the next lifecycle or operation.
To begin with, the group developed
Cognizant Intelligent Infrastructure
for rail systems as a platform that
constantly monitors live data
from fixed assets such as
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