Smart QA System for Distribution Networks
By integrating multi-source low-voltage data from distribution networks with task-oriented agent technology, this system enables proactive monitoring of operational status, precise fault diagnosis, and intelligent optimization of repair workflows. It establishes a closed-loop management framework covering the entire process from monitoring to early warning, analysis, response, and post-incident review.
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Core Features
Smart Low-Voltage Transparency
Integrates multi-source heterogeneous data from medium and low voltage lines, transformer districts, and branch boxes to achieve comprehensive awareness and real-time transparent presentation of equipment operation status, load conditions, and power quality.
Intelligent Fault Management Decision Support
Applies distribution domain large models and task-oriented agent technology to precisely identify fault locations, types, impact范围和, and optimize repair resource allocation and workflows.
Intelligent Q&A for Medium and Low Voltage Operation Data
Integrates RAG enhanced retrieval, vectorized search, and natural language interaction to enable fast query and accurate answer generation for equipment status parameters, historical operation data, fault records, and repair progress.
Technical Highlights
Task-Based Agent Collaborative Scheduling
Decomposes complex tasks such as data query, fault diagnosis, repair optimization, and report generation into executable subtask chains, enabling automated multi-step collaborative processing.
Multi-Source Fusion Retrieval Enhancement
Fuses unstructured knowledge bases with structured real-time operational data for combined indexing and joint retrieval, generating answers by integrating retrieval results with generative models.
Vertical Large Model
Applies parameter-efficient fine-tuning to deeply adapt the base large model for the power distribution domain, enhancing semantic understanding of power industry terminology and business logic.
Target Users
Distribution network operation and maintenance management departments of power supply companies.