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Home > Urban and Rural Studies > 2025 No.14 > 基于大数据分析的建筑机械故障预测方法研究

基于大数据分析的建筑机械故障预测方法研究

Author(s)：
施洋洋

Publication Title：

Urban and Rural Studies 2025 No.14

Affiliations：
亳州市建筑业管理服务中心

Abstract：
为提升建筑机械故障预测准确性，文章采用大数据分析技术。通过实时监测与采集建筑机械运行数据，经清洗、处理后进行特征提取并建立模型，构建故障诊断与预警系统。分析了数据采集、预处理、特征选择及模型建立等方法，并给出故障预测评估指标。研究表明，优化策略如提升数据质量、增强模型泛化能力等，能有效提高故障预测效果，为建筑机械故障预测提供了新的思路与方法。

Keywords：
大数据分析；建筑机械；故障预测；数据处理；预测模型

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[1] 施洋洋.基于大数据分析的建筑机械故障预测方法研究[J].Urban and Rural Studies,2025(14),.

城镇建设

Urban and Rural Studies

Language: 中文

CN：10-1589/TU

ISSN：2096-6539

Publication Frequency: 半月刊

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