城市轨道交通列车噪声在线监测系统开发及应用
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Development and Application of Online Noise Monitoring System for Urban Rail Transit Trains
XU Zan
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作者信息:1.中铁开发投资集团有限公司，650500，昆明
2.昆明轨道交通四号线土建项目建设管理有限公司，650500，昆明
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Affiliation:1.China Railway Development Investment Group Co., Ltd., 650500, Kunming, China
2.Kunming Rail Transit Line 4 Civil Engineering Project Construction Management Co., Ltd., 650500, Kunming, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2024.10.046
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中图分类号/CLCN:U442.55
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栏目/Col:应用技术
摘要:
［目的］随着城市轨道交通的快速发展与扩张，列车运营年限的延长导致噪声污染问题日益显著，对乘客的乘车体验和健康造成了严重影响，并直接影响到轨道交通企业的品牌形象和服务质量。因此，有必要对列车运行过程中的噪声进行采集与监测，以便有针对性地对噪声进行治理，使治理效果达到最大化。［方法］结合了噪声传感器、STM32单片机、4G传输模块、KeilμVision5、Python、OneNET云平台等硬件和软件资源，基于物联网技术设计并开发了一套针对城市轨道交通列车的噪声在线监测系统。［结果及结论］该系统已成功应用于昆明地铁4号线进行测试验证，其实现了对列车内噪声的实时监测，具有采样周期短、数据精确度高、数据丢失率和延迟率低等优势。对于超出国家标准的噪声水平，系统能够及时发出预警，有效满足了设计预期目标。该系统还能够运用到其他环境噪声监测领域，为环境噪声治理提供依据，提升居民生活品质，推动城市可持续发展。
Abstracts:
［Objective］ With the rapid development and expansion of urban rail transit, the problem of noise pollution is increasingly prominent due to the continuous extension of train operation lifespan. This not only causes severe harm to passenger riding experience and health, but also directly affects the brand image and service quality of rail transit enterprises. Therefore, it is necessary to collect and monitor noise levels during train operation to implement targeted noise control measures, maximizing the effectiveness of noise mitigation efforts. ［Method］ With a combination of hardware and software resources such as noise sensors, STM32 microcontrollers, 4G transmission modules, Keil μVision5, Python, and OneNET cloud platform, an online noise monitoring system based on IoT (Internet of Things) is designed and developed specifically for urban rail transit trains. ［Result & Conclusion］ The system is successfully tested and validated on Kunming Metro Line 4, achieving real-time monitoring of train interior noise with advantages such as short sampling cycles, high data accuracy, and low data loss and latency rates. The system can issue timely alerts when noise levels exceed national standards, effectively meeting the design objectives. Additionally, the system can be applied to other environmental noise monitoring scenarios, providing reference for environmental noise treatment, enhancing the quality of life for residents, and promoting sustainable urban development.
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