Research Article
Research and Implementation of Intelligent Fault Report Generation Technology for Earthquake Emergency Response in Regional Power Grids
@ARTICLE{10.4108/ew.14132, author={Kan Shi and Zuoqing Li and Huali Hu and Lei Zhang and Desong Wang and Yifan Han and Xiang Wang}, title={Research and Implementation of Intelligent Fault Report Generation Technology for Earthquake Emergency Response in Regional Power Grids}, journal={EAI Endorsed Transactions on Energy Web}, volume={13}, number={1}, publisher={EAI}, journal_a={EW}, year={2026}, month={8}, keywords={Earthquake emergency response, power grid fault, intelligent report generation, multimodal language model, slot filling, automated system}, doi={10.4108/ew.14132} }- Kan Shi
Zuoqing Li
Huali Hu
Lei Zhang
Desong Wang
Yifan Han
Xiang Wang
Year: 2026
Research and Implementation of Intelligent Fault Report Generation Technology for Earthquake Emergency Response in Regional Power Grids
EW
EAI
DOI: 10.4108/ew.14132
Abstract
INTRODUCTION: Earthquake-induced disturbances require fast, standardized fault reports to support regional power-grid emergency response. OBJECTIVES: To automate report drafting while improving terminology, structure, and traceability compared with manual writing and simple template filling. METHODS: We design a workflow that combines slot filling, metadata-driven image proxy summarization, and controlled prompt-driven paragraph generation, then assembles outputs into a standardized report template and software system. RESULTS: On public earthquake and outage datasets, the proposed method outperforms baseline template filling (BLEU-4 1.00 vs 0.37, ROUGE-L 0.90 vs 0.50, BERTScore 0.93 vs 0.85, field coverage 1.00 vs 0.75) and reduces end-to-end report production from ~180 min (manual) to 2 min 15 s. CONCLUSION: The system enables reliable, high-efficiency fault report generation for earthquake emergency response in regional power grids, with clear potential for deployment.
Copyright © 2026 Kan Shi et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
