CEEG fully integrates DeepSeek to accelerate the intelligent digital upgrade of the industry

As the wave of digitalization sweeps the globe, the "involution" of AI technology has quietly arrived. How to stand out amid fierce competition has become a question every enterprise must face.

As a modern enterprise integrating R&D, manufacturing and sales, CEEG has taken technological innovation as its engine and intelligent upgrading as its breakthrough point, officially integrating the DeepSeek large model — a key step toward breaking new ground and opening a new chapter of intelligent, technology-driven development.

A Powerful Alliance, A Promising Future

The DeepSeek model's core strengths — data autonomy, security compliance and superior energy efficiency — align closely with the electrical industry. CEEG has completed a private deployment of the DeepSeek model, embedding AI capabilities into its internal environment to empower office work, management, O&M and more.

By deeply integrating the DeepSeek large model with its self-developed CEEG Interconnection system, CEEG has built a dedicated project knowledge base that drives full-factor planning, full-chain approval and full-cycle management of projects, solving problems such as unclear processes, overlapping responsibilities, disconnected chains and inefficient progress.

Meanwhile, CEEG has accelerated the development of an "Ask AI" intelligent Q&A system covering multiple service scenarios such as project, patent and service inquiries. Seamlessly integrated with CEEG's business systems, it is driving CEEG's "AI + Services" into a brand-new era.

Intelligent Upgrade, The Future Is Here

This intelligent upgrade achieved full-stack adaptation based on domestic technology. Under existing mainstream computing environments, CEEG successfully completed fully independent and controllable verification from hardware compatibility to inference engine adaptation, fully demonstrating the company's capacity for independent innovation in technology.

Through private deployment and massive data training, combined with core technologies such as big data analytics, AI algorithms and multi-source data storage, CEEG has built an efficient data processing and analysis platform. Applied to the intelligent O&M of transformers, the platform covers intelligent equipment inspection, health status evaluation, intelligent diagnosis, knowledge graph construction and intelligent decision support and more, enabling early identification of risk points and prediction of faults, greatly reducing operational risks.

1. Transformer health status evaluation: Based on historical operating data, real-time data and test data, an equipment health status assessment model is built to achieve real-time monitoring and health evaluation of equipment operation.

2. Knowledge graph construction: Through semantic recognition, precise retrieval, similar case recommendation and other technologies, historical fault data, O&M cases and related technical documents are intelligently managed and applied.

3. Intelligent equipment inspection: Relying on smart IoT sensing devices combined with advanced AI algorithms, real-time monitoring and visual display of on-site operating status and equipment health are achieved.

4. Intelligent diagnosis: Based on multi-dimensional data such as electrical, environmental and parameter quantities, a preventive equipment analysis model is built to achieve predictive warning of equipment status and fault prevention.

5. Intelligent decision support: Through automated risk warning, fault location and maintenance strategy generation, risk identification and management decision-making are automated, improving O&M efficiency and decision accuracy.

Relying on full-coverage intelligent equipment, CEEG has achieved an intelligent autonomous O&M model featuring cloud-edge collaboration, fault self-healing and a high degree of autonomy, marking that intelligent O&M has entered a new stage of the smart transformer.

CEEG will continue to explore application scenarios for AI in the electrical industry, constantly expand innovative applications, and provide a replicable, scalable "CEEG model" for smart manufacturing upgrades.