多源数据采集下水利工程建设质量监督体系的全面建设策略研究

Study on Comprehensive Construction Strategy of Quality SupervisionSystemof Water Conservancy Project Constructionunder Multi-Source Data Collection

水利工程区域环境复杂,导致水利工程安全运行产生风险,因此需要利用收集到的多源数据对其建设质量进行监督,但现有监测体系存在诸多问题,无法对多源数据进行科学合理的分析。因此,将层次分析法与模糊贝叶斯网络结合,对水利工程建设中获取的多源数据进行综合分析,以便对安全状态进行充分评估,并针对某项目引水涵洞的无证据融合和有证据融合进行实测。结果表明,该贝叶斯网络推理能够进行实时更新,而且安全评价结果准确。

Water conservancy projects are widely distributed and often located in environmentally complex areas,which has a great impact on the safe operation of water conservancy projects,so it is necessary to use the collected multi-source data to monitor the quality of water conservancy construction in order to maintain the stable operation of water conservancy projects,but the existing monitoring system of water conservancy construction quality still has many problems,and it is impossible to carry out a scientific and reasonable analysis of the obtained multi-source data.The study combines hierarchical analysis with fuzzy Bayesian networks to analyse the multi-source data obtained from the construction of water conservancy projects in order to adequately assess the safety status.The results of the fusion without evidence and fusion with evidence for a project diversion culvert show that the Bayesian network inference can be updated in real time and the safety evaluation results are accurate.