Abstract:Abstract: Nowadays electricity has become an indispensable part of our daily life. However, people's understanding of electric power knowledge needs to be further improved, and the supply form of electric power knowledge popularization needs to be further innovated. In the context of the rapid development of AI large models enabling all walks of life, there are many problems such as insufficient number of large models in the power field and insufficient protection of user privacy data. Based on ChatGLM3, a dialogue pre-training model jointly released by Zhipu AI and KEG Lab of Tsinghua University, an intelligent question answering system with the ability to answer professional knowledge of electric power is designed and developed in this study. In the process of client and server data transmission and storage, we use blockchain encryption and decryption algorithms to process and package data to improve data security. First, high-quality data sets are collected and combined with large Transformer based models such as ChatGPT to enhance the generalization capability of ChatGLM3. Secondly, the model was optimized by Lora fine-tuning and full-parameter fine-tuning. After optimization, the model accuracy was increased by 31.78%, and the model hallucination rate was reduced by 33.5%. Finally, we use encryption and decryption algorithm to encrypt user data in the storage process of system terminal data to ensure the security of user data.