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Development of wastewater pipe performance index and performance prediction model

机译:污水管性能指标及性能预测模型的建立

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Prediction/deterioration modelling is a crucial step in assessing the remaining service life for strategic management planning. Sound pipe performance evaluation models are essential for accurately predicting future performance. There is a lack of a performance evaluation tool which takes into consideration different factors such as pipe characteristics, internal and external environmental factors. In this research, a 'total-systems' approach have been taken for development of protocols and methods for predicting the condition/performance of wastewater pipes. The proposed wastewater pipe performance index model were developed applying the fuzzy inference system. The performance index was evaluated through artificial data and field data to ensure that the index was technically comprehensive and could be implemented to a real world database. Developing a performance index led to the development of a Markov performance prediction model. The prediction model utilised the performance index results from fuzzy inference model to estimate the service life of wastewater pipeline.
机译:预测/恶化模型是评估战略管理计划的剩余使用寿命的关键步骤。声音管道性能评估模型对于准确预测未来性能至关重要。缺少一种性能评估工具,该工具考虑了不同的因素,例如管道特性,内部和外部环境因素。在这项研究中,采用了“全系统”方法来开发用于预测废水管道状况/性能的协议和方法。应用模糊推理系统建立了污水管道性能指标模型。通过人工数据和现场数据对性能指标进行了评估,以确保该指标在技术上是全面的,并且可以在实际数据库中实现。开发性能指标导致了马尔可夫性能预测模型的发展。该预测模型利用模糊推理模型的性能指标结果估算污水管道的使用寿命。

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