Modelling sewer failure by evolutionary computing
Modelling sewer failure by evolutionary computing
复制标题
通过进化计算对下水道故障进行建模
DOI：
10.1680/wama.2006.159.2.111
复制
发表时间：
2006
影响因子：
1.6
通讯作者：
A. Saul
中科院分区：
文献类型：
--
作者：
D. Savić;O. Giustolisi;L. Berardi;W. Shepherd;S. Djordjević;A. Saul
下水道系统是一种预期不中断运行的服务。持续的评估、维护和修复是以可接受的成本维持所需服务水平的关键。可以根据污水处理公司长期收集的故障数据，为定期调查制定适当且具有成本效益的优先级计划。这样一个计划可以实现使用数据驱动的建模技术与故障机制的工程知识。本文提出了一种描述性分析，在一个真实的数据库中包含崩溃和堵塞事件的记录，在英国的一个大型下水道系统。从两种故障类型的统计研究开始，最重要的变量被确定，并提出了分类方案。然后，使用混合建模技术，进化多项式回归，两个不同的公式堵塞事件和崩溃失败，并提供其工程解释。
The sewer system is a service that is expected to function without interruptions. Continuous assessment, maintenance and rehabilitation are the key to maintaining a required level of service at an acceptable cost. An appropriate and cost effective prioritisation scheme for periodical surveys could be built based on failure data collected by sewerage companies over time. Such a scheme could be achieved using data-driven modelling techniques jointly with engineering knowledge of the failure mechanisms. This paper presents a descriptive analysis performed on a real database containing collapse and blockage incident records for a large sewer system in the UK. Starting from a statistical study of both failure types, the most important variables are identified and a classification scheme is suggested. Then, using a hybrid modelling technique, evolutionary polynomial regression, two different formulas for blockage events and collapse failures are obtained and their engineering interpretation is offered.