监督学习模型在博物馆消防安全培训中的探索与应用——以数字化虚拟消防样本数据的训练模型为例  

Exploration and Application of Supervised Learning Model in Museum Fire Safety Training:Take the Training Model of Digital Virtual Fire Data as an Example

作　　者：李碧燕 Li Biyan

机构地区：[1]南越王博物院信息资料部,广东省广州市510040

出　　处：《自然科学博物馆研究》2025年第1期32-40,共9页Journal of Natural Science Museum Research

摘　　要：本文分析当前博物馆消防实操演练中存在的问题,以数字化仿真消防培训系统在南越王博物院应用为切入点,围绕仿真系统产生的样本数据为研究基础,构建、验证具有博物馆行业特点数字化消防培训机器学习训练模型,从而提升博物馆人员安全演练的训练质量水平,并总结出博物馆域模型构建的优化方法。This paper analyzes the current problems of fire drills in museums,taking the application of digital fire drill system in the Nanyue King Museum as an example,and based on the sample data generated by the simulation system,constructs and verifies the machine learning training model of the digital fire training with the characteristics of museum industry,so as to improve the safety of museum personnel.And it summarizes the optimization method of the museum domain model construction.

关 键 词：博物馆 消防演练 人工智能 算法模型 

分 类 号：G261[历史地理—考古学及博物馆学]