Innovation Journal - Cognizant

Innovation Journal - Cognizant Innovation Journal - Cognizant

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26.11.2014 Views

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 25

RETHINK - INTELLIGENT INFRASTRUCTURE points, signaling systems and track circuits through sensors, wireless devices and on-board systems. The core of the platform comprises a set of logical blocks that enable: Acquisition of data Aggregation and processing Data storage Data analytics Decision support Reporting Key features of Intelligent Infrastructure include: Data management: Enables centralization of data collection, along with data management activities like archival and contextualization in the form of actionable insights, for operations and performance. Data analysis: Helps analyze trends and patterns while monitoring asset conditions. It detects and classifies failures, performs root cause analysis of different failures and even develops models that predict the availability of assets for future operations. Report generation: Generates reports on performance and reliability of assets at multiple locations for various categories of users. Notifications and alerts: Links with asset management and workorder systems to create alert messages for technicians and maintenance engineers through rich clients, Web clients and mobile devices. Scenarios for Implementation: Cognizant Intelligent Infrastructure is beneficial in the following scenarios: Datacenter monitoring: As an experiment, Intelligent Infrastructure has been deployed for monitoring data centers at Cognizant. The data center monitoring system has a wireless sensory network for remote monitoring and can handle up to 100 sensors. This system can perform the following: Send SMS to the data center supervisor for any abnormal changes in temperature or humidity levels. Enables supervisors to perform Web-enabled monitoring to visualize real-time events from the data center. Connect to any system from the supervisor’s mobile device for proactive actions. The initial results have shown an average cost saving of up to 85%, with a savings of $400 per person per month per data center management team, in terms of logistics. 26

RETHINK - INTELLIGENT INFRASTRUCTURE<br />

points, signaling systems and track circuits through sensors, wireless<br />

devices and on-board systems. The core of the platform comprises a<br />

set of logical blocks that enable:<br />

Acquisition of data<br />

Aggregation and processing<br />

Data storage<br />

Data analytics<br />

Decision support<br />

Reporting<br />

Key features of Intelligent Infrastructure include:<br />

Data management: Enables centralization of data collection, along<br />

with data management activities like archival and contextualization in<br />

the form of actionable insights, for operations and performance.<br />

Data analysis: Helps analyze trends and patterns while monitoring<br />

asset conditions. It detects and classifies failures, performs root cause<br />

analysis of different failures and even develops models that predict the<br />

availability of assets for future operations.<br />

Report generation: Generates reports on performance and reliability<br />

of assets at multiple locations for various categories of users.<br />

Notifications and alerts: Links with asset management and workorder<br />

systems to create alert messages for technicians and<br />

maintenance engineers through rich clients, Web clients and mobile<br />

devices.<br />

Scenarios for Implementation:<br />

<strong>Cognizant</strong> Intelligent Infrastructure is beneficial in the following<br />

scenarios:<br />

Datacenter monitoring: As an experiment, Intelligent Infrastructure<br />

has been deployed for monitoring data centers at <strong>Cognizant</strong>. The data<br />

center monitoring system has a wireless sensory network for remote<br />

monitoring and can handle up to 100 sensors. This system can<br />

perform the following:<br />

Send SMS to the data center supervisor for any abnormal changes<br />

in temperature or humidity levels.<br />

Enables supervisors to perform Web-enabled monitoring to<br />

visualize real-time events from the data center.<br />

Connect to any system from the supervisor’s mobile device for<br />

proactive actions.<br />

The initial results have shown an average cost saving of up to 85%,<br />

with a savings of $400 per person per month per data center<br />

management team, in terms of logistics.<br />

26

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