ENERGY

Hello,

Cognite Data Fusion (CDF) can help you improve the energy efficiency in an industrial process in multiple steps by:

1. Unifying siloed Data: CDF integrates all industrial data (sensors, equipment, operations, engineering) into a contextualized knowledge graph.
2. Enabling Real-time Insights: It provides live monitoring and visualization of energy consumption, highlighting inefficiencies.
3. Powering AI Agents through Atlas AI: Atlas AI, through CDF's knowledge graph, enables the creation of specialized industrial AI agents. For example, you can create agents to:
   • Predict and Optimize: Forecast energy demand, predict equipment failures to prevent energy waste, and recommend optimal operating parameters.
   • Automate Workflows: Streamline tasks like root cause analysis for energy issues and decision-making support for efficiency improvements.
   • Provide Prescriptive Guidance: Offer specific actions to reduce energy consumption based on real-time data and contextualized insights.
4. Facilitating Scalability: CDF allows for rapid development and deployment of these energy-saving AI solutions and scale across multiple plants.

As an example pump failures in a manufacturing plant cause costly emergency shutdowns and significant energy waste from halting/restarting production.

CDF unifies real-time pump sensor data (vibration, temp, pressure, current), maintenance history, and operational parameters. Atlas AI could then use this contextualized data to predict precise pump failure times via machine learning.

This enables optimal, proactive maintenance, preventing energy-intensive unplanned shutdowns and ensuring continuous peak pump efficiency.