Severe data silos
Under source-grid-load-storage coupling, systems remain siloed, and drawings, safety rules, IoT data, and business-system data are difficult to turn into unified insight.
Industry Pain Points
Passive maintenance creates high risk
Aging equipment and passive maintenance coexist, increasing the likelihood of incidents, downtime, and labor costs.
Dispatch complexity is rising
The rapid growth of renewable energy grid integration increases dispatch complexity and raises requirements for grid flexibility and stability.
Expert knowledge is hard to transfer
Production depends heavily on expert experience, while tacit knowledge is difficult to transfer, increasing the risk of knowledge gaps.
Solution
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Cognitive Energy Brain
Built on 01.AI's enterprise AI decision hub TrueNorth, and combining multi-agent and ontology technologies, create a cognitive energy brain.
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Dynamic Knowledge Graph and Unified Business Fact Base
Build a dynamic knowledge graph and unified business fact base, semantically align drawings, safety rules, and IoT data, add business logic to data, and fundamentally reduce AI hallucination risk.
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Energy Agents for Maintenance, Dispatch, and Compliance
Deploy energy Agents for maintenance, dispatch, and compliance, collaborating across domains on a unified graph to complete complex decision loops such as fault diagnosis, global load assessment, and safe operation ticket generation.
Expected Outcomes
More Proactive Operations and Maintenance
Move from passive repair to predictive maintenance, reducing unplanned downtime and labor costs.
More Efficient Dispatch
Process multimodal data rapidly and produce better grid-connection strategies.
More Stable Grid
Improve grid flexibility and stability under complex operating conditions.
More Usable Knowledge
Fully activate expert experience so frontline employees can obtain real-time guidance through natural-language interaction.