供水管网噪音计全天候检漏试验研究
Daytime and night leak detection trial study of noise logger for water supply network
王海涛 1彭浩 2齐丽强 3葛奇 4黄清龙 3徐哲2
作者信息
- 1. 杭州电子科技大学自动化学院,杭州 310018;杭州水务集团有限公司,杭州 310009
- 2. 杭州电子科技大学自动化学院,杭州 310018
- 3. 中国船舶重工集团公司第七一五研究所,杭州 310023
- 4. 杭州水务集团有限公司,杭州 310009
- 折叠
摘要
由于日间干扰大容易误报,声学检漏通常在夜间进行,这与实时监测需求不太符合.为此,开展全天候声学检漏试验.通过现场增加日间音频信号采集,比较分析日间/夜间音频的信号特征、时频谱图及机器学习算法识别结果,探究日间检测的可行性.试验结果表明,噪音计日间检测准确率和AUC值达到0.890和0.959,符合全天候实时监测需求.
Abstract
Due to large interference during the daytime and possibility of false alarm,acoustic leak detection is usually carried out at night.That is not consistent with the demand for real-time monitoring.Therefore,daytime and night acoustic leak detection test is carried out.The feasibility of daytime detection is explored by increasing the collection of daytime sound signals on site,comparing and analyzing the signal characteristics,time-frequency spectrum and machine learning algorithm recognition results of daytime/night sound signals.The test results show that the daytime detection accuracy and AUC value of the noise logger reach 0.890 and 0.959,respectively,and the whole day real-time monitoring is feasible.
关键词
噪音计/全天候检测/声学检漏/机器学习算法Key words
noise logger/daytime and night leak detection/acoustic leak detection/machine learning algorithm引用本文复制引用
出版年
2024
NETL
NSTL
万方数据