浙江工贸职业技术学院学报

针对电气火灾防控中预警精度不足的问题，系统构建了以过程参数为核心的超前智能预警体系。在梳理现状与技术挑战的基础上，阐明了超前智能预警的多重价值，构建了涵盖多源信息感知、过程参数特征提取、多层协同智能预警算法和自适应学习机制等技术框架，并据此设计了面向分布式监测网络的智能预警系统。运行结果表明，该系统在准确性、时效性与可靠性方面均表现突出，为电气火灾防控提供了新的技术路径。

In response to the issue of insufficient early warning accuracy in electrical fire prevention and control, this paper systematically explores the proactive intelligent early warning system centered on process parameters. On the basis of sorting out the current situation and technical challenges, it clarifies the multiple values of proactive early warning, and constructs a technical framework covering multi-source information sensing, process parameter feature extraction multi-layer collaborative intelligent warning algorithms, and an adaptive learning mechanism. Acordingly, it designs an intelligent early-warning system for distributed monitoring network. The operation results show that the system has outstanding performance in accuracy, timeliness and reliability,providing a new technical path for electrical fire prevention and control.