基于循环卷积神经网络的城市住宅污水管道防堵塞监测系统技术研究及应用

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摘要：随着新时代现代化智慧城市的建设发展，基于物联网技术、大数据技术、BIM技术的城市住宅污水管道防堵塞监测技术正向着数字化、自动化、智能化的方向发展。文章针对基于循环卷积神经网络的城市住宅污水管道防堵塞监测技术进行了研究，并设计了可实际应用于城市住宅污水管道防堵塞监测系统的工程设备。

关键词：循环卷积神经网络；非侵入式电容传感器测量；污水管道防堵塞监测系统

doi：10.3969/J.ISSN.1672-7274.2023.11.027

中图分类号：TN 948.6，TP 391.41          文献标志码：A           文章编码：1672-7274（2023）11-00-03

Anti Clogging Monitoring System Technology of Urban Residential Sewage Pipeline Based on Cyclic Convolutional Neural Network Research and Application

TANG Jinyuan LIN Haimi TIAN Qingqing WANG Siwei

（1. Chengdu Vocational and Technical College of Industry and Trade， Chengdu 611731， China;

2. China Railway Eighth Bureau Group Construction Engineering Co.， Ltd.， Chengdu 610097， China）

Abstract： With the construction and development of modern smart cities in the new era， the anti clogging monitoring technology of urban residential sewage pipes based on Internet of Things technology， Big data technology and BIM technology is developing in the direction of digitalization， automation and intelligence. In this paper， the anti clogging monitoring technology of urban residential sewage pipe based on the cyclic Convolutional neural network is studied， and the engineering equipment that can be applied to the anti clogging monitoring system of urban residential sewage pipe is designed and manufactured.

Key words： cyclic convolutional neural network; non invasive capacitive sensor measurement; anti clogging monitoring system for sewage pipelines

1   研究背景

目前，城市住宅高层建筑数量多，人口集中，用水量增大，导致污水管道经常处于超负荷状态。（剩余3778字）