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The proposed work is incorporated into the research theme concerning the maintenance and inspection of sensitive facilities in production systems. It is essential to promote the methodological deployment of inspection techniques to ensure the good functioning of services provided by complex production systems as well as their different components. We use a risk-based inspection methodology offering an organized analysis with knowledge sharing for collaborative possibilities in a multidisciplinary context and it consists of the following steps: data acquisition and information collection, failure analysis (probability and consequences), risk assessment, inspection plan, mitigation and revaluation. The application of this methodology can improve the maintenance management strategies of industrial companies. The inspection department is able to forecast its potential failure, root causes and impacts on the safe operation of the considered production system, based on a reliable inventory of existing situations and review options for continuous improvement in maintenance management. In particular, we addressed the application of a Risk-Based Inspection (RBI) methodology in the French petroleum company with operations on the west coast of central and southern Africa. The incorporation of expert knowledge into risk assessment is helping to find the best preventive plan for pipeline inspection in the case study. 相似文献
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作为地下空间信息测绘工作的一个重要部分，基于排水管道内部测绘信息的管道缺陷检测越来越受到人们的重视。CCTV技术是一种广泛使用的排水管道内部测绘与缺陷检测技术。近些年基于卷积神经网的人工智能技术在图像识别中取得了巨大成功，受此启发，提出了一种基于卷积神经网络的排水管道缺陷的检测方法，以提高CCTV视频中的管道缺陷检测的自动化和智能化。试验证明了该方法的有效性，其在缺陷识别的准确率和召回率及识别速度上均满足了排水管道缺陷智能检测的需要；同时该方法也已经在深圳市的排水管道检测中得到广泛的应用。 相似文献
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营口地区数值预报降水产品定量检验和预报指标研究 总被引：1，自引：0，他引：1
选取2010年8月至2011年7月天气在线、日本传真图、美国全球预报系统（以下简称GFS）、以及T639等数值预报降水预报产品,采用统计学方法和天气学方法,按照预报时效、预报降水量级、影响系统等不同方面对营口地区的降水预报产品进行检验分析,以便更好的利用数值产品做好降水预报,提高营口地区的降水预报准确率。结果表明：从整体角度看各种数值预报产品预报准确率随时间变化逐渐降低,但天气在线和GFS预报效果相对较好且稳定,日本传真图次之,T639稳定性最差;各种数值预报产品均存在预报偏小的情况,特别是对暴雨的预报效果均不太理想,稳定性差、量级偏小;小雨量级降水空报和漏报明显;各种数值预报产品对高空槽和冷涡漏报情况较明显,主要为小雨量级。 相似文献
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为确定适合广州市地下排水管道的修复方法,对广州老城区近100kin2地区进行调查。调查采用管道潜望镜（Quick View,QV）、管道闭路电视（closed—Circuit Television,CCTV）、管道声纳（Sonar）进行综合探测,结果表明,调查区域内的地下排水管道存在的主要问题是破损断裂、错位、路基下沉、管道淤塞现象,其中小直径管道的损坏情况较为严重,尤其是300mm的管道将近报废。针对地下排水管道的调查情况,结合现有修复技术的特点,经过对修复成本及施工的难易性的研究讨论,得出适合多种管道和缺陷类型的翻转内衬法（Cured In Place Pipe,CIPP）和施工要求相对简单的U型折叠法（U-fold）满足要求,并能够产生较高经济社会效益。 相似文献
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随着社会发展,工程施工中越来越要求文明施工,尤其在一些沿海城市,精确地控制导向钻孔轨迹的非开挖施工已经显示出了强大的生命力。由于非开挖施工的特殊性,验收工作成为了困扰性的问题．如何才能得知施工轨迹是不是和设计要求的轨迹一致,基于此本文提供了一种方法来检验非开挖施工轨迹是否合格。 相似文献
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结合新疆1：10000基础测绘地形图产品，对质量现状、存在的问题以及如何确保基础测绘地形图产品的质量与确定检验方法，进行了深入探讨。 相似文献
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《国际泥沙研究》2020,35(2):157-170
Mitigation of sediment deposition in lined open channels is an essential issue in hydraulic engineering practice.Hence,the limiting velocity should be determined to keep the channel bottom clean from sediment deposits.Recently,sediment transport modeling using various artificial intelligence(AI) techniques has attracted the interest of many researchers.The current integrated study highlights unique insight for modeling of sediment transport in sewer and urban drainage systems.A novel methodology based on the combination of sensitivity and uncertainty analyses with a machine learning technique is proposed as a tool for selection of the best input combination for modeling process at non-deposition conditions of sediment transport.Utilizing one to seven dimensionless parameters,127 models are developed in the current study.In order to evaluate the different parameter co mbinations and select the training and te sting data,four strategies are considered.Considering the densimetric Froude number(Fr) as the dependent parameter,a model with independent parameters of volumetric sediment concentration(C_V) and relative particle size(d/R) gave the best results with a mean absolute relative error(MARE) of 0.1 and a root means square error(RMSE) of 0.67.Uncertainty analysis is applied with a machine learning technique to investigate the credibility of the proposed methods.The percentage of the observed sample data bracketed by95% predicted uncertainty bound(95 PPU) is computed to assess the uncertainty of the best models. 相似文献
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《国际泥沙研究》2020,35(2):171-179
One of the important issues in water transport and sewer systems is determining the flow resistance and roughness coefficient.An accurate estimation of the roughness coefficient is a substantial issue in the design and operation of hydraulic structures such as sewer pipes,the calculation of water depth and flow velocity,and the accurate characterization of energy losses.The current study,applies two kernel based approaches [Support Vector Machine(SVM) and Gaussian Process Regression(GPR)] to develop roughness coefficient models for sewer pipes.In the modeling process,two types of sewer bed conditions were considered:loose bed and rigid bed.In order to develop the models,different input combinations were considered under three scenarios(Scenario 1:based on hydraulic characteristics,Scenarios2 and 3:based on hydraulic and sediment characteristics with and without considering sediment concentration as input).The results proved the capability of the kernel based approaches in prediction of the roughness coefficient and it was found that for prediction of this parameter in sewer pipes Scenario 3 performed better than Scenarios 1 and 2.Also,the sensitivity analysis results showed that Dgr(Dimensionless particle number) for a rigid bed and w_b/y(ratio of deposited bed width,w_b,to flow depth,y) for a loose bed had the most significant impact on the modeling process. 相似文献
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Amitrajeet A. Batabyal Peter Nijkamp 《Stochastic Environmental Research and Risk Assessment (SERRA)》2005,19(5):340-347
We study the problem of precluding biological invasions caused by ships transporting internationally traded goods in containers between different regions of the world. Using the long run expected net cost (LRENC) of inspections as the apposite managerial objective, we address the following important question: given that inspection is a cyclical activity, is the LRENC lower when a port manager’s inspector inspects cargo upon the arrival of a specified number of containers (container policy) or is this LRENC lower when this inspector inspects cargo at fixed points in time (temporal policy)? We construct a queuing theoretic model and show that in an inspection cycle, irrespective of whether the inspection policy choice is made on the basis of an explicit optimization exercise or on the basis of rules of thumb, the container policy is superior to the temporal policy because the container policy results in lower LRENC from inspection activities. 相似文献