عنوان
Using a Break Prediction Model for Drinking Water Networks Asset Management: From Research to Practice
زبان رویداد علمی
گرایش موضوعی
صنایع مرتبط
نوع
کنفرانس
سطح برگزاری
بین المللی
برگزارکننده
Water Science and Technology: Water Supply
زمان برگزاری
Date: 2012
محل برگزاری
محورها
توضیحات
Break prediction models can help water utility decision-makers to build their pipe rehabilitation programs. For a long time
using them has been a specialist matter. After more than fifteen years of research in the field of the ageing of water pipes,
Cemagref developed the LEYP model based on counting process theory that relies not only on the pipe’s characteristics and
environment but also on pipe’s age and previous breaks. Then it was decided to develop a break prediction tool usable by
water utilities – the “Casses” freeware. To make this possible, it was necessary to deal with several constraints. To cope
with the diversity of available data for various water utilities, a flexible input data formats were designed as well as an
importation module which checks the conformity and the coherence of data. Tools for data management and an advice
module dedicated to model calibration were conceived for non-statistician users. The break prediction results can be used
directly to compare break evolution with different rehabilitation strategies; they also can feed multicriteria decision tools. In
this case, the freeware “Casses” can work as a “slave” of the integrated application.
using them has been a specialist matter. After more than fifteen years of research in the field of the ageing of water pipes,
Cemagref developed the LEYP model based on counting process theory that relies not only on the pipe’s characteristics and
environment but also on pipe’s age and previous breaks. Then it was decided to develop a break prediction tool usable by
water utilities – the “Casses” freeware. To make this possible, it was necessary to deal with several constraints. To cope
with the diversity of available data for various water utilities, a flexible input data formats were designed as well as an
importation module which checks the conformity and the coherence of data. Tools for data management and an advice
module dedicated to model calibration were conceived for non-statistician users. The break prediction results can be used
directly to compare break evolution with different rehabilitation strategies; they also can feed multicriteria decision tools. In
this case, the freeware “Casses” can work as a “slave” of the integrated application.
کد شناسه
C5677298