Proceedings of the 2019 European Conference on Computing in Construction最新文献_第6页

Opportunities for Communal Photovoltaic-Thermal Heating Systems with Storage 蓄热公用光伏供热系统的机遇

Proceedings of the 2019 European Conference on Computing in Construction Pub Date : 2019-07-10 DOI: 10.35490/EC3.2019.186

A. Kang, I. Korolija, D. Rovas

引用次数: 2

Managing mistrust in construction using DLT: a review of use-case categories for technical decisions 使用DLT管理施工中的不信任:对技术决策用例类别的审查

Proceedings of the 2019 European Conference on Computing in Construction Pub Date : 2019-07-10 DOI: 10.35490/EC3.2019.171

Jens J. Hunhevicz, D. Hall

引用次数: 7

A toolchain for automated acquisition and processing of as-built data with autonomous UAVs 利用自主无人机自动获取和处理已建成数据的工具链

Proceedings of the 2019 European Conference on Computing in Construction Pub Date : 2019-07-10 DOI: 10.35490/EC3.2019.137

Henk Freimuth, M. König

引用次数: 3

An overview of configurations for industralized construction: typologies, customer requirements, and technical approaches 工业化结构的配置概述:类型、客户需求和技术方法

Proceedings of the 2019 European Conference on Computing in Construction Pub Date : 2019-07-10 DOI: 10.35490/EC3.2019.145

Jianpeng Cao, Daniel L. Hall

{"title":"An overview of configurations for industralized construction: typologies, customer requirements, and technical approaches","authors":"Jianpeng Cao, Daniel L. Hall","doi":"10.35490/EC3.2019.145","DOIUrl":"https://doi.org/10.35490/EC3.2019.145","url":null,"abstract":"To improve productivity, the construction industry is increasingly adopting methods of industrialized construction. A key strategy to support industrialized construction is to leverage an adaptable product development platform, i.e. a configurator. Although many benefits of configurators (e.g. mass customization) have been witnessed in the manufacturing industry, the application of configurators in construction is limited and immature. This paper reviews eleven configurators in academic research and four configurators in industry practice. First, using a comparative analysis, the authors generalize three strategic typologies of configurators developed and implemented for industrialized construction. Second, stakeholder requirements are identified for each typology. Finally, the technical approaches, including related methods and theories, are reviewed using a framework of three-tier architecture decomposition. The findings contribute to practice by allowing AEC stakeholders to understand strategic typologies and customer requirements for configurators. This can assist in guiding the future development of mass-customized configurators.","PeriodicalId":126601,"journal":{"name":"Proceedings of the 2019 European Conference on Computing in Construction","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129885560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Context capturing of multi-information resources for the data exchange in collaborative project environments 协作项目环境中用于数据交换的多信息资源的上下文捕获

Proceedings of the 2019 European Conference on Computing in Construction Pub Date : 2019-07-10 DOI: 10.35490/EC3.2019.173

R. Scherer, P. Katranuschkov

{"title":"Context capturing of multi-information resources for the data exchange in collaborative project environments","authors":"R. Scherer, P. Katranuschkov","doi":"10.35490/EC3.2019.173","DOIUrl":"https://doi.org/10.35490/EC3.2019.173","url":null,"abstract":"A framework for context capturing of multi infor- mation resources is introduced. It is based on the three major approaches, which have been developed through the last decade. Having similar goals in mind they have come up with partially different objectives, methods and representation technologies. The three approaches are, respectively, the Multimodel (MM) approach of the Mefisto project in Germany, the COINS approach in the Netherlands of linked documents and models and the Linked Building Data (LBD) approach of the Linked Data Group in Europe.. They were developed in recent years to tackle the central problems of management and exchange of various types of data in a single package expressing a certain context and goal in an overall digital AEC environment. The differences and the commonalities of the first two approaches are addressed and the more future oriented LBD approach is compared to them. The related upcoming standard ISO 21597, pursuing a merging of the first two approaches in its Part 1, is discussed, whereas the third approach, targeting reasoning, will be a subject of Part 2 that is still under discussion.","PeriodicalId":126601,"journal":{"name":"Proceedings of the 2019 European Conference on Computing in Construction","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130663845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

The impact of density and scale on the life cycle cost of net zero energy communities 密度和规模对净零能耗社区生命周期成本的影响

Proceedings of the 2019 European Conference on Computing in Construction Pub Date : 2019-07-10 DOI: 10.35490/EC3.2019.144

S. Shubin, G. Rabinowitz, S. Isaac

引用次数: 2

OptEEmAL: IT-Supported design tool for the generation of optimised energy retrofitting scenarios at district level OptEEmAL: it支持的设计工具，用于在地区一级生成优化的能源改造方案

Proceedings of the 2019 European Conference on Computing in Construction Pub Date : 2019-07-10 DOI: 10.35490/EC3.2019.169

Susana Martin, V. Serna, S. Álvarez, Miguel A. Garcia, G. Hernández, Á. Sicilia, Gonçal Costa

引用次数: 4

Freeway work zone traffic state estimation with fault diagnosis 基于故障诊断的高速公路工作区交通状态估计

Proceedings of the 2019 European Conference on Computing in Construction Pub Date : 2019-07-10 DOI: 10.35490/EC3.2019.152

S. Du, S. Razavi

{"title":"Freeway work zone traffic state estimation with fault diagnosis","authors":"S. Du, S. Razavi","doi":"10.35490/EC3.2019.152","DOIUrl":"https://doi.org/10.35490/EC3.2019.152","url":null,"abstract":"Freeway work zone can cause disruption to local traffic and have adverse impacts on mobility and safety of road users and those who work in the work zone. To ensure an effective traffic management strategy, it is essential to accurately and instantaneously estimate the traffic states at the work zone area. While many traffic state estimation methods are proposed by previous studies, few of them consider the occurrence of freeway sensor faults, which may result in a large deviation in state estimation and potentially lead to an inappropriate traffic management strategy. To overcome the impacts of sensor faults and provide accurate traffic state estimation, this study presents an approach using sensor fault diagnosis for traffic state estimation at freeway work zone area. Considering the capacity drop, the switching mode model with Kalman filter was used to estimate the traffic states. With the analysis of the density residuals generated by traffic sensors and probes, the fault diagnosis can detect the type of sensor faults and reconfigure the estimation model. The proposed system is implemented and evaluated in traffic simulator SUMO under a realistic freeway work zone environment. The results show that the developed system can accurately identify the type of fault in short time. An accurate traffic state estimation is provided and fairly maintained under fault-free and sensor-fault scenarios respectively.","PeriodicalId":126601,"journal":{"name":"Proceedings of the 2019 European Conference on Computing in Construction","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115939314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Including widespread geometry formats in semantic graphs using RDF literals 在使用RDF文字的语义图中包括广泛使用的几何格式

Proceedings of the 2019 European Conference on Computing in Construction Pub Date : 2019-07-10 DOI: 10.35490/EC3.2019.166

Mathias Bonduel, A. Wagner, P. Pauwels, M. Vergauwen, Ralf Klein

引用次数: 16

Predicting the impact of size of uncertainty events on the construction cost of highway projects using ANFIS 运用ANFIS预测不确定事件规模对公路工程造价的影响

Proceedings of the 2019 European Conference on Computing in Construction Pub Date : 2019-07-10 DOI: 10.35490/EC3.2019.184

A. Moghayedi, A. Windapo

{"title":"Predicting the impact of size of uncertainty events on the construction cost of highway projects using ANFIS","authors":"A. Moghayedi, A. Windapo","doi":"10.35490/EC3.2019.184","DOIUrl":"https://doi.org/10.35490/EC3.2019.184","url":null,"abstract":"This study examines the use of Adaptive Neuro-Fuzzy Inference System (ANFIS) as a machine learning technique in the prediction of the impact size of uncertainty events on construction cost of highway projects and whether this technique is more accurate than the classical statistical methods. The rationale for the study stems from the availability of several techniques such as regression analysis and machine learning for developing predictive models of relationships of various variables in the construction industry. However, there has been limited research undertaken to compare the accuracy of the available techniques. The success or failure of prediction depends on the credibility of the prediction method. In this study, the predicted impact size of 76 uncertain events on the construction of highway projects using ANFIS as an intelligence machine learning method and Stepwise Regression Analysis (SRA) as a classical statistical method were compared to delineate the ability and accuracy of the ANFIS prediction technique. The comparison of calculated R-Value and two error tests for ANFIS and SRA show that the constructed ANFIS model has a higher performance than the SRA method in both fitness and reliability of the prediction model. Also, the performance comparison showed that ANFIS is a good tool for predicting the impact of uncertainty events on construction project cost. Based on these findings, the study concludes that the use of intelligent methods such as ANFIS will minimise the potential inconsistency of correlations in construction cost and time prediction. The model developed enables cost engineers to estimate the construction cost with a higher degree of accuracy.","PeriodicalId":126601,"journal":{"name":"Proceedings of the 2019 European Conference on Computing in Construction","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126088453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1