园区管网阀门远程监测与预警系统研究

发布时间：2018-04-16 17:32

本文选题：管网 + 阀门　；参考：《西安建筑科技大学》2017年硕士论文

【摘要】：近几十年来,水资源总量逐渐下降,人均供水量更是严重不足,因而提高水资源利用率,减少淡水资源的浪费,是一项迫在眉睫的工作。而相关调查显示,地下管道漏水量约占水资源损失总量的50%-60%,是造成水资源损失量较大的主要原因之一。因此管道泄漏监测已引起了广泛的关注和研究,但以往研究大多采用单一的检测方法,导致结果不够准确,存在漏报、误报等情况。为了解决这一问题,本课题将多源信息融合技术应用于管道监测系统中进行研究,主要完成以下工作:(1)研究了目前常用的管网监测技术,以管网阀门为监测节点,构建分布式的系统框架,采取多种检测方式监测阀门节点的声波、负压波、湿度等多种信号,利用小波变换和周期图法对原始信号进行滤波、功率谱估计等处理和特征提取。(2)研究了多源信息融合技术,采用基于D-S证据理论的多源信息融合算法对多种预判结果进行决策级融合。经实验验证,D-S证据理论算法的应用有效改善了单一检测方式的误检、漏检等情况,提高了监测系统的准确性和全面性。(3)采用B/S架构设计和目前较为成熟的SSH2开发框架为用户提供服务,开发完成了监测系统终端和远程系统的软硬件详细设计,实现了园区管网阀门远程监测与预警功能。本课题研究的园区管网阀门远程监测系统,实现了在保证正常供水的情况下,较为高效、便捷、准确的检测出园区管网阀门的工作状况,及时发现故障点的位置并发出预警信号,具有较高的参考价值和实用性。
[Abstract]:In recent decades, the total amount of water resources has gradually decreased, and the per capita water supply is seriously insufficient. Therefore, it is an urgent task to improve the utilization rate of water resources and reduce the waste of fresh water resources.The related investigation shows that the leakage amount of underground pipeline accounts for about 50-60% of the total water resources loss, which is one of the main reasons for the large amount of water resources loss.Therefore, pipeline leakage monitoring has attracted extensive attention and research, but most of the previous studies used a single detection method, resulting in inaccurate results, false reports and other situations.In order to solve this problem, the multi-source information fusion technology is applied to the pipeline monitoring system. The main work is as follows: 1) the commonly used pipe network monitoring technology is studied, and the valve of the pipe network is used as the monitoring node.A distributed system framework is constructed to monitor the acoustic wave, negative pressure wave, humidity and other signals of the valve node by a variety of detection methods. The original signal is filtered by wavelet transform and periodic chart method.Power spectrum estimation and feature extraction. (2) Multi-source information fusion technology is studied. The multi-source information fusion algorithm based on D-S evidence theory is used to perform decision level fusion of multiple pre-judgment results.It has been proved by experiments that the application of D-S evidence theory algorithm can effectively improve the situation of single detection method, such as false detection, missing detection, etc.The accuracy and comprehensiveness of the monitoring system are improved. The design of B / S architecture and the mature SSH2 development framework are adopted to provide service to users. The detailed design of software and hardware of the monitoring system terminal and remote system is completed.The remote monitoring and warning function of the valve in the park pipe network is realized.The remote monitoring system of the park pipe network valve is studied in this paper. Under the condition of ensuring the normal water supply, the system is more efficient, convenient and accurate to detect the working condition of the park pipe network valve.It has high reference value and practicability to find the location of fault point and send out early warning signal in time.
【学位授予单位】：西安建筑科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TU991.62

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