一个基于风险的软传感器,用于通过自适应性神经模糊干扰系统监测水分网络的故障率
Mohammad Gheibi1,2, Reza Moezzi3,4, Hadi Taghavian1
1Institute for Nanomaterials, Advanced Technologies, and Innovation, Technical University of Liberec, Liberec, Czech Republic.
Scientific reports
|July 27, 2023
概括
这项研究确定了影响供水网络故障的关键因素,发现管道材料,直径和压力是最关键的. 聚乙烯管道的故障率较高,强调需要压力管理来降低风险.
科学领域:
- 环境工程 环境工程
- 土木工程 土木工程是指土木工程.
- 水资源管理 水资源管理
背景情况:
- 水分网是关键基础设施,需要有效管理.
- 了解城市WDN故障因素对于资源和环境保护至关重要.
研究的目的:
- 调查影响城市供水网络故障率的因素.
- 开发一个WDN故障的预测模型.
- 评估WDN故障模式和对降低风险的影响.
主要方法:
- 适应性神经模糊推理系统 (ANFIS) 软传感器用于故障率预测.
- 对于WDN评估的故障模式和影响分析 (FMEA).
- 分析影响因素,包括管道直径,材料和水压.
主要成果:
- 管道直径,材料和水压显著影响WDN故障率.
- 聚乙烯管道的故障率是石棉水泥管道的四倍.
- 失效率随着水压的增加而增加,随着管道直径的增加而减少.
结论:
- 压力管理是减少WDN中泄漏和故障的关键策略.
- 结果提供了一个适用于全球类似城市水域网的案例研究.
- 优化WDN管理需要考虑材料,直径和压力相互作用.
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