DELIVER VIRTUAL OPERATIONS FOR POWER
AND UTILITIES WITH COGNITE DATA FUSION
Maintain Operational Excellence • Increase Productivity and HSE • Adapt to Changing Workflow
Given major technological advancements in sensingof accessing and efficiently using data to make betterand communications, ongoing objectives to meet HSE

O&M decisions. In some cases, control systems

goals, and the need to further optimize operations

may still use analog components and alerts, making

and maintenance (O&M) activity, the power and utili-data access impossible. In other cases, new sensingties industry is primed for adopting virtual operations.

systems must be integrated with legacy data systems,

This transition and urgency continues to accelerate as

creating a mismatch of databases, protocols, andskilled labor leaves the field and the industry shifts tostandards. All in all, achieving virtual operations firstworking in a post-pandemic era. But realizing virtual

means solving fundamental problems with big, messy

operations at scale and unlocking ROI continues to beindustrial data.

challenging due to the sheer underlying complexity

Achieving the Unmanned Virtual Power Plant with Data Operations and AI
In order to truly virtualize, operators must be able

read and process remote analog dials, meters, andto combine inspection data (such as video, audible,displays. Lastly, the analysis output must be madeLiDAR, gas detection, thermal imaging, etc.) withusable by subject-matter experts and field teams

existing data from control systems, CMMS, and ERPs.

through user-friendly, high-fidelity 3D visualizations

This requires data aggregation and contextualizationand digital twins where all known data (from thein order to create a functional data model that can bedata model) can be overlayed on alerts and points ofused for advanced analysis. With visual data quality

interest. Doing this effectively and at reasonable costand volume, for example, computer vision can be

and overhead requires a comprehensive platform forused to identify visual anomalies in image data or

Data Operations (DataOps) and AI.

Seamless Integration

Visualization ThroughLeverage Robotic sensing

with SCADA & Control

Assisted Data Analysis

Digital Twins and 3Dfor Inspection capture

System Data

With Computer Vision

Renderings

Cognite Data Fusion is the leading industrial data foundation that makes traditionally siloed data available,usable, and contextualized so that operators can efficiently operationalize their data and analysis to achieve
remote operations.
■ Aggregate and contextualize big data from robotics and all available IT and OT data sources■ Empower data scientists, engineering, domain experts, and analyst workflows■ Enable operationalization and scaling of digital applications with open integrations (APIs/SDKs)■ Ensure data quality and lineage throughout the development pipeline and into the end application

Cognite Data Fusion is Extensible with Robotics Hardware and Off-the-Shelf Applications
Together, Cognite and Boston Dynamics offer next-generation hardware and software so that operators canaccelerate their journey towards realizing safer, flexible, efficient remote operations.

SPOT BY BOSTON DYNAMICS
Automated Sensing and Inspection Platform, Ingestedand Contextualized by Cognite Data Fusion© 2020 COGNITE|COGNITE REMOTE
Asset Integrity Management Application for RemoteOperations, Powered by Cognite Data Fusionwww.cognite.com