# AI Empowers Substation Maintenance, Boosting Efficiency by 40% at State Grid Changzhou Power Supply Company

- Link: https://www.thailand-business-news.com/pr-news/ai-empowers-substation-maintenance-boosting-efficiency-by-40-at-state-grid-changzhou-power-supply-company
- Published: 2026-08-20T10:57:00+07:00
- Author: PR Newswire

CHANGZHOU, China, Aug. 20, 2026 /PRNewswire/ — Timely elimination of defects in 
substation secondary systems is a critical link in ensuring the safe and stable 
operation of the power grid. However, traditional approaches have long relied on
maintenance personnel sifting through extensive paper drawings, comparing historical
cases one by one, and manually developing work plans—a cumbersome process heavily
dependent on individual experience, with efficiency and quality hitting bottlenecks.
The technical team at State Grid Changzhou Power Supply Company recently announced
the successful development and deployment of an "Intelligent Assisted Defect Elimination
System," which leverages large AI models to restructure knowledge management and
decision-support processes, reducing the average duration of a single defect-elimination
task by approximately 40%.

The system consists of two core modules: a knowledge base and an intelligent Q&A
component. The technical team utilized an open-source retrieval-augmented generation(
RAG) engine to build a dedicated knowledge base for substation secondary maintenance.
This involved vectorizing vast amounts of unstructured documents—including technical
specifications, equipment manuals, historical defect reports, and retrofit drawings—
to form an intelligently retrievable domain-specific knowledge graph. Meanwhile,
a large language model was deployed in a local secure environment, ensuring data
safety while enabling precise semantic understanding and information retrieval in
response to natural language queries.

In practical application, maintenance staff simply need to input a description of
the defect phenomenon (e.g., "communication interruption on a certain protection
device"), and the system automatically generates a structured defect-elimination
workflow within seconds. It simultaneously pushes relevant illustrations from device
manuals, key handling points from similar historical cases, and related circuit 
diagram excerpts, providing on-site maintenance personnel with a one-stop decision-
support reference. This model completely transforms the previously inefficient approach
of "rote memory plus manual page-turning," significantly lowering the experience
threshold and enhancing the level of standardized operations.

To date, the system has been put into practical use in the comprehensive automation
retrofits and routine maintenance of multiple substations, including the local 110
kV Rulin Substation. Statistical data shows that after the system’s deployment, 
the average time required for a single defect-elimination task has been reduced 
by approximately 40% compared with traditional methods, and the completeness and
accuracy of work plans have received unanimous recognition from frontline teams.

State Grid Changzhou Power Supply Company stated that its next step will be to further
deepen the application of AI technology across the full spectrum of substation operation
and maintenance scenarios. This will include continuously expanding the knowledge
base’s coverage and exploring collaborative integration with inspection robots, 
smart wearable devices, and other terminals, so as to accelerate the digital and
intelligent evolution of power secondary system maintenance.

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