A knowledge graph and large language model based approach to security measure

Fuqiang Chen; Yan Jiang; Jie Xu; Zheng Liu; Zhiqiang Sheng; Xueying Song; Bochu Li; Zibing Meng

doi:10.1117/12.3051842

18 November 2024 A knowledge graph and large language model based approach to security measure

Fuqiang Chen, Yan Jiang, Jie Xu, Zheng Liu, Zhiqiang Sheng, Xueying Song, Bochu Li, Zibing Meng

Proceedings Volume 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) ; 1340326 (2024) https://doi.org/10.1117/12.3051842
Event: International Conference on Algorithms, High Performance Computing, and Artificial Intelligence, 2024, Zhengzhou, China

Abstract

Power work ticket is an indispensable working document in the electric power industry, the current safety measures in the power work ticket are mainly filled out manually by the practitioners based on their experience, which lacks consistency and has the risk of omission, in order to reduce the dependence on the front-line practitioners, this paper proposes a model based on the knowledge graph and the large language model of the safety measures generation. Firstly, based on the knowledge graph of work tickets, similar work tickets are found and preliminary safety measures are generated according to the rules, and then relevant safety specifications are queried based on the semantic similarity, and the model inputs, preliminary safety measures, and relevant safety specifications are inputted into the large language model together to get the complete safety measures. From the experimental results, it can be seen that this method outperforms other models in terms of expert assessment and the accuracy of security measure generation, and the security measures generated by the model can meet the needs of invoicing, ensuring the accuracy and efficiency of filling out work tickets.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Fuqiang Chen, Yan Jiang, Jie Xu, Zheng Liu, Zhiqiang Sheng, Xueying Song, Bochu Li, and Zibing Meng "A knowledge graph and large language model based approach to security measure", Proc. SPIE 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) , 1340326 (18 November 2024); https://doi.org/10.1117/12.3051842

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