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Optimal pipe inspection paths considering inspection tool limitations

机译：考虑检查工具限制的最佳管道检查路径

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摘要

The inspection of deteriorating water distribution pipes is an important process for utilities. It helps them gain a better understanding of the condition of their buried conveyance systems and aids better decision making for risk-based asset management. In-pipe continuous inspection tools provide high resolution and accurate data, but they have seen relatively limited use due to cost and operational constraints. To facilitate-cost efficient deployment of these technologies and maximal information gain, a process that finds high risk pipes to inspect while accounting for the limitations of the tools at hand is needed. This paper shows how to incorporate these considerations within an optimization formulation, and examines the use of Evolutionary Programming, Simulated Annealing, and Greedy Search heuristics to identify inspection paths. Case studies performed on both synthetic and real world networks demonstrate that Evolutionary Programs are the most effective. While only three factors are used to characterize tool limitations, the method presented in this paper can be extended to include technology-specific complexities in real world applications.
机译：供水管道恶化的检查是公用事业的重要过程。它有助于他们更好地了解其埋藏式运输系统的状况，并有助于基于风险的资产管理做出更好的决策。管内连续检查工具可提供高分辨率和准确的数据，但是由于成本和操作限制，它们的使用相对有限。为了促进这些技术的成本有效部署和最大程度的信息获取，需要一种在考虑现有工具局限性的同时找到要检查的高风险管道的过程。本文展示了如何将这些考虑因素纳入优化公式中，并研究了使用进化规划，模拟退火和贪婪搜索启发式方法来确定检查路径的方法。在综合和现实世界网络上进行的案例研究表明，进化程序是最有效的。虽然仅使用三个因素来描述工具的局限性，但本文中介绍的方法可以扩展为包括现实应用中特定于技术的复杂性。

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