基于深度学习的工程机械智能巡检系统设计与实现  

Design and Implementation of Intelligent Inspection System for Construction Machinery Based on Deep Learning

作　　者：仝鑫 Tong Xin

机构地区：[1]中煤集团山西华昱能源有限公司

出　　处：《工程机械》2025年第3期98-100,I0005,共4页Construction Machinery and Equipment

摘　　要：提出一种基于深度学习算法的工程机械智能巡检系统,特别是利用双向长短期记忆(Bi-LSTM)网络来处理和分析设备运行状态。系统通过整合传感器数据采集、数据预处理、深度学习模型构建与优化等技术模块,实现了对机械设备故障的高效预测与准确检测。试验结果表明,与传统ARIMA模型和单向LSTM网络相比,Bi-LSTM网络在准确率和F1-score等关键性能指标上表现更佳,证实了该系统在机械设备智能巡检领域的有效性和优越性。An intelligent inspection system for construction machinery based on deep learning algorithms is proposed,which particularly uses bidirectional long short-term memory(Bi-LSTM)networks to process and analyze the equipment operation status.The system achieves efficient prediction and accurate detection of mechanical equipment faults by integrating technical modules such as sensor data acquisition,data preprocessing and deep learning model construction and optimization.The test results show that,compared with the traditional ARIMA models and unidirectional LSTM networks,Bi-LSTM networks perform better in key performance indicators such as accuracy and F1-score,which confirms the effectiveness and superiority of this system in the field of intelligent inspection of mechanical equipment.

关 键 词：深度学习 工程机械 智能巡检 

分 类 号：TU60[建筑科学—建筑技术科学] TP18[自动化与计算机技术—控制理论与控制工程]