基于物联网的城市轨道交通风机设备全寿命周期在线监测与诊断系统研究

Study on the Whole Life Cycle On-line Monitoring and Diagnosis System of Urban Rail Transit Fan Based on Internet of Things

风机设备作为轨道交通中重要的大型设备,一方面承担着轨道交通内部空间与外界环境的气体交换工作,以保证乘客和工作人员能有安全、舒适的交通条件;另一方面当轨道交通发生火灾、有害气体泄漏等事故时,风机能够排走有害气体,及时补充新鲜空气,对保障人们生命安全,促使救援工作顺利进行具有重要意义。为提高轨道运行的安全性、可靠性和经济性,就提出了对轨道交通风机在线监测与诊断的要求,对风机的振动、转速、温度、风压等多类运行参数进行实时监测,并在此基础上应用快速傅里叶变换、短时傅里叶变换等先进信号处理算法进行深入分析和研究,并开发具备强大数据处理能力的嵌入式智能数据处理终端,在很大程度上及时准确识别风机核心零部件故障的微弱特征信号,进而建立基于物联网和大数据技术的轨道交通风机全寿命周期在线监测与诊断系统,从而保证风机设备在其全寿命周期中安全可靠地运行。

In order to improve the safety, reliability and economy of rail traffic fan operation, the requirements of on-line monitoring and diagnosis of rail transit fan are put forward, and the operating parameters such as vibration, speed, temperature and pressure of the fan are monitored in real time. Based on the application of fast Fourier transform, short- time Fourier transform and other advanced signal processing algorithms for in- depth analysis and research, the development of powerful data processing capabilities of embedded intelligent data processing terminal, will be able to accurate identification of the weak characteristics signal of core components of the fan and built the whole life cycle of life monitoring and diagnosis system based on the Internet of things and Big data technology. That is guarantee the fan equipment has safely and reliable operation in its full life cycle.