科技创新与应用2026，Vol.16Issue(2)：35-38,4.DOI:10.19981/j.CN23-1581/G3.2026.02.009
基于大模型的公安智能预警系统研究与应用
张振博 1蔡斌2
作者信息
- 1. 华为技术有限公司,广州 510000
- 2. 广东省公安厅,广州 510050
- 折叠
摘要
Abstract
The research proposes a large-scale model-based modeling method for public security intelligent early warning systems to meet the challenges of multi-source and heterogeneous data in complex urban security scenarios.The system integrates structured and unstructured data,uses an improved Transformer to model event chain,and introduces a comparative learning mechanism to improve the model's ability to identify fine-grained risk differences.Through model compression,knowledge distillation and streaming processing architecture,the system can be efficiently deployed in actual combat scenarios.The experimental verification model is superior to traditional methods in terms of accuracy,response time and interpretability,showing good practical adaptability and promotion potential.关键词
公安智能预警/大模型/事件链建模/对比学习/TransformerKey words
public security intelligent early warning/large model/event chain modeling/comparative learning/Transformer分类
社会科学引用本文复制引用
张振博,蔡斌..基于大模型的公安智能预警系统研究与应用[J].科技创新与应用,2026,16(2):35-38,4.
