先进传感技术在设备状态监测中的应用
摘 要
随着工业设备复杂性的增加，传统的设备状态监测方法已难以满足现代工业的需求。先进传感技术，尤其是基于物联网和人工智能的传感系统，为设备状态监测提供了新的解决方案。本研究旨在探讨先进传感技术在设备状态监测中的应用，通过集成多种传感器数据，结合机器学习算法，实现对设备运行状态的实时、精准监测。研究采用了多源数据融合技术，利用温度、振动、压力等多种传感器采集的数据，构建了设备状态的多维特征模型。通过对某大型制造企业的实际案例分析，验证了该方法的有效性。结果表明，基于先进传感技术的监测系统能够显著提高设备的故障预测准确率，降低维护成本。
关键词：先进传感技术；设备状态监测；多源数据
APPLICATION OF ADVANCED SENSING TECHNOLOGY IN DEVICE STATE MONITORING
ABSTRACT
With the increasing complexity of industrial equipment, the traditional equipment status monitoring method has been difficult to meet the needs of modern industry. Advanced sensing technologies, especially sensing systems based on the Internet of Things and artificial intelligence, provide new solutions for device status monitoring. This study aims to explore the application of advanced sensing technology in device state monitoring, realizing real-time and accurate monitoring of device running state by integrating various sensor data and combining with machine learning algorithms. The paper adopts multi-source data fusion technology, and uses the data collected by temperature, vibration, pressure and other sensors to build a multidimensional feature model of device state. The effectiveness of this method is verified by analyzing the actual case of a large manufacturing enterprise. The results show that the monitoring system based on advanced sensing technology can significantly improve the accuracy of fault prediction and reduce the maintenance cost.
KEY WORDS：Advanced sensing technology; equipment status monitoring; multi-source data
目 录
摘 要 I
ABSTRACT II
第1章 绪论 1
1.1 研究背景及意义 1
1.2 研究目的和内容 1
第2章 先进传感技术的基本原理与分类 2
2.1 传感技术的基本工作原理 2
2.2 先进传感技术的分类与特点 2
2.3 传感器在设备状态监测中的应用潜力 3
第3章 先进传感技术在设备状态监测中的关键技术 4
3.1 数据采集与处理技术 4
3.2 信号分析与故障诊断方法 4
3.3 多传感器融合技术在状态监测中的应用 5
第4章 先进传感技术在设备状态监测中的应用案例 6
4.1 工业设备状态监测中的传感器部署策略 6
4.2 基于传感技术的设备故障预测与健康管理 6
4.3 中国典型行业中传感技术的应用现状与挑战 7
第5章 结论 8
参考文献 9
致 谢 10
摘 要
随着工业设备复杂性的增加，传统的设备状态监测方法已难以满足现代工业的需求。先进传感技术，尤其是基于物联网和人工智能的传感系统，为设备状态监测提供了新的解决方案。本研究旨在探讨先进传感技术在设备状态监测中的应用，通过集成多种传感器数据，结合机器学习算法，实现对设备运行状态的实时、精准监测。研究采用了多源数据融合技术，利用温度、振动、压力等多种传感器采集的数据，构建了设备状态的多维特征模型。通过对某大型制造企业的实际案例分析，验证了该方法的有效性。结果表明，基于先进传感技术的监测系统能够显著提高设备的故障预测准确率，降低维护成本。
关键词：先进传感技术；设备状态监测；多源数据
APPLICATION OF ADVANCED SENSING TECHNOLOGY IN DEVICE STATE MONITORING
ABSTRACT
With the increasing complexity of industrial equipment, the traditional equipment status monitoring method has been difficult to meet the needs of modern industry. Advanced sensing technologies, especially sensing systems based on the Internet of Things and artificial intelligence, provide new solutions for device status monitoring. This study aims to explore the application of advanced sensing technology in device state monitoring, realizing real-time and accurate monitoring of device running state by integrating various sensor data and combining with machine learning algorithms. The paper adopts multi-source data fusion technology, and uses the data collected by temperature, vibration, pressure and other sensors to build a multidimensional feature model of device state. The effectiveness of this method is verified by analyzing the actual case of a large manufacturing enterprise. The results show that the monitoring system based on advanced sensing technology can significantly improve the accuracy of fault prediction and reduce the maintenance cost.
KEY WORDS：Advanced sensing technology; equipment status monitoring; multi-source data
目 录
摘 要 I
ABSTRACT II
第1章 绪论 1
1.1 研究背景及意义 1
1.2 研究目的和内容 1
第2章 先进传感技术的基本原理与分类 2
2.1 传感技术的基本工作原理 2
2.2 先进传感技术的分类与特点 2
2.3 传感器在设备状态监测中的应用潜力 3
第3章 先进传感技术在设备状态监测中的关键技术 4
3.1 数据采集与处理技术 4
3.2 信号分析与故障诊断方法 4
3.3 多传感器融合技术在状态监测中的应用 5
第4章 先进传感技术在设备状态监测中的应用案例 6
4.1 工业设备状态监测中的传感器部署策略 6
4.2 基于传感技术的设备故障预测与健康管理 6
4.3 中国典型行业中传感技术的应用现状与挑战 7
第5章 结论 8
参考文献 9
致 谢 10
