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智能管道——装有仪器的水管,可以实现吗?

Smart pipes--instrumented water pipes, can this be made a reality?

机构信息

School of Civil Engineering, College of Engineering and Physical Science, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.

出版信息

Sensors (Basel). 2011;11(8):7455-75. doi: 10.3390/s110807455. Epub 2011 Jul 27.

Abstract

Several millions of kilometres of pipes and cables are buried beneath our streets in the UK. As they are not visible and easily accessible, the monitoring of their integrity as well as the quality of their contents is a challenge. Any information of these properties aids the utility owners in their planning and management of their maintenance regime. Traditionally, expensive and very localised sensors are used to provide irregular measurements of these properties. In order to have a complete picture of the utility network, cheaper sensors need to be investigated which would allow large numbers of small sensors to be incorporated into (or near to) the pipe leading to so-called smart pipes. This paper focuses on a novel trial where a short section of a prototype smart pipe was buried using mainly off-the-shelf sensors and communication elements. The challenges of such a burial are presented together with the limitations of the sensor system. Results from the sensors were obtained during and after burial indicating that off-the-shelf sensors can be used in a smart pipes system although further refinements are necessary in order to miniaturise these sensors. The key challenges identified were the powering of these sensors and the communication of the data to the operator using a range of different methods.

摘要

在英国,数万公里的管道和电缆埋在我们的街道下面。由于它们不可见且不易接近,因此监测其完整性以及其内容物的质量是一项挑战。这些属性的任何信息都有助于设施所有者规划和管理其维护制度。传统上,昂贵且非常局部化的传感器用于对这些属性进行不规则测量。为了全面了解公用事业网络,需要研究更便宜的传感器,这些传感器可以将大量小型传感器纳入(或靠近)通向所谓智能管道的管道中。本文重点介绍了一项新的试验,其中使用主要的现成传感器和通信元件来埋置一段短的智能管道原型。本文介绍了这种掩埋的挑战以及传感器系统的局限性。在掩埋过程中和之后,从传感器获得了结果,表明尽管需要进一步改进才能使这些传感器微型化,但现成的传感器可以用于智能管道系统。确定的关键挑战是为这些传感器供电以及使用各种不同的方法将数据传输到操作员。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e87a/3231726/2fbe60d317b6/sensors-11-07455f1.jpg

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