摘要
为了解决传统排水管网监测方法精度低、能耗高、数据计算量大、以及全生命周期内电源电压下降导致监测不稳定的问题,本文提出了一种新型的基于边缘计算和全生命周期的排水管网监测方法。文中研究了管网监测环境以及特点,分析了传统红外测距、超声波测距与姿态监测方法的误差来源,建立了反射式超声测距误差补偿模型与基于Manony滤波算法的管网井盖姿态解算模型,引入了边缘计算和双电源稳压电路,并以某A地区部分管网为实例,进行了实验监测与分析。实验结果表明:文中方法在全生命周期内监测较稳定,丢包率小于0.33%;水面平静时测量水位误差小于0.7 cm,水面波动时测量水位误差小于1.9 cm;井盖姿态倾斜角度监测灵敏;具有更小的数据量,能够极大的降低服务端的压力,增加了续航。相较于传统方法,各项指标均有所提升,结论可为全生命周期管网检测提供理论参考。
The traditional method for monitoring drainage pipeline networks has the disadvantages of low accuracy,high energy consumption,large amount of computation and unstable monitoring due to voltage drop.To address these issues,the paper presents a novel approach to monitoring drainage pipeline networks based on edge computing and lifecycle.On the basis of the examination of the conditions and characteristics of pipeline networks and the analysis of the error sources of traditional infrared ranging,ultrasonic ranging,and attitude monitoring methods,the paper establishes a compensation model for reflected ultrasonic ranging errors and an attitude calculation model for pipeline network manhole covers based on the Manony filtering algorithm,with edge computing and dual power supply voltage stabilization circuits introduced.An experimental monitoring and analysis is carried out of a partial pipeline network in Area A as an example.The results show that the monitoring by the proposed method is relatively stable throughout the lifecycle with a packet loss rate less than 0.33%.The water level error is less than 0.7 cm when the water is calm and less than 1.9 cm when choppy.Manhole cover inclination angles can be monitored sensitively.The proposed method has a smaller data size,greatly reducing the burden on the server and increasing battery life.Compared to traditional methods,all the indicators have been improved.This study will provide theoretical reference for lifecycle pipeline network inspection.
作者
韩丽明
张艳玲
赵瑶
刘林越
HAN Liming;ZAHNG YanLing;ZHAO Yao;LIU Linyue(School of Electronic Information Engineering,Xi’an Technological University,Xi’an 710021,China;School of Computer Science and Engineering,Xi’an Technological University,Xi’an 710021,China)
出处
《西安工业大学学报》
CAS
2023年第6期588-597,共10页
Journal of Xi’an Technological University
基金
陕西省科技厅重点研发计划项目(2022GY-316)。
关键词
边缘计算
全生命周期
排水管网监测
智慧城市
edge computing
full life cycle
drainage network monitoring
smart city
