The construction sites of mega construction projects(MCP) often have numerous participants with interfacing work within a highly complex system. It is critical how to realize collaborative work and information sharing...The construction sites of mega construction projects(MCP) often have numerous participants with interfacing work within a highly complex system. It is critical how to realize collaborative work and information sharing among such participants. The information and communication technologies(ICTs) provides a technical guarantee for solving this problem. Existing research has been achieved the partial processes digitization of construction site, but certain problems still exist: 1)information perception of the construction site is passive.2) common collaboration and coordination problems in the construction industry have not been addressed. The emerging trends of ICTs have resulted in the integration of various computer technologies such as CPS, BIM, big data, and cloud computing into construction process,which would changes behavioral and management mode of construction sites. These new ICTs have been applied successfully in MCP, in particular, Hong Kong-ZhuhaiMacao Bridge project. A new management mode of construction sites is inspired by these case. In this paper, a new management mode of construction site for MCP has been proposed, namely, smart construction site. The ultimate goal of smart construction site is to accomplish safe, efficient and high-quality construction. This study put forward the conceptual framework for smart construction site, and have identified three key elements of smart construction site, including information support platform,collaboration work, and intelligent construction management. A case study on Hong Kong-Zhuhai-Macao Bridge project work as an evidence to support the practicability of the proposed mode. Significant contributions of this study is to propose a new management mode for MCP in construction industry, which would enrich the body of knowledge or the construction management community.Future research should be dedicated to further explore the potential of smart construction site in MCP management.展开更多
The dynamics of a construction project generates a huge amount of information for processing. Most project information is recorded in digital files and managed in a decentralized way. Current document management tools...The dynamics of a construction project generates a huge amount of information for processing. Most project information is recorded in digital files and managed in a decentralized way. Current document management tools do not consider the semantic relationships between files and then cannot discover files based on their content or ensure information consistency across various information repositories. This paper presents a semantic-discovery method for accessing project information across repositories. By adopting semantic web technologies, including extensible markup language (XML), ontology, and logic rules, the semantic-discovery tool can access project files by their properties and relations. The method has been applied to searching for files using documents from a real project. The results show that the semantic content of a file can be used to ensure that only related files are retrieved.展开更多
基金funded by the National Natural Science Foundation of China(Grant No:71390524)
文摘The construction sites of mega construction projects(MCP) often have numerous participants with interfacing work within a highly complex system. It is critical how to realize collaborative work and information sharing among such participants. The information and communication technologies(ICTs) provides a technical guarantee for solving this problem. Existing research has been achieved the partial processes digitization of construction site, but certain problems still exist: 1)information perception of the construction site is passive.2) common collaboration and coordination problems in the construction industry have not been addressed. The emerging trends of ICTs have resulted in the integration of various computer technologies such as CPS, BIM, big data, and cloud computing into construction process,which would changes behavioral and management mode of construction sites. These new ICTs have been applied successfully in MCP, in particular, Hong Kong-ZhuhaiMacao Bridge project. A new management mode of construction sites is inspired by these case. In this paper, a new management mode of construction site for MCP has been proposed, namely, smart construction site. The ultimate goal of smart construction site is to accomplish safe, efficient and high-quality construction. This study put forward the conceptual framework for smart construction site, and have identified three key elements of smart construction site, including information support platform,collaboration work, and intelligent construction management. A case study on Hong Kong-Zhuhai-Macao Bridge project work as an evidence to support the practicability of the proposed mode. Significant contributions of this study is to propose a new management mode for MCP in construction industry, which would enrich the body of knowledge or the construction management community.Future research should be dedicated to further explore the potential of smart construction site in MCP management.
文摘The dynamics of a construction project generates a huge amount of information for processing. Most project information is recorded in digital files and managed in a decentralized way. Current document management tools do not consider the semantic relationships between files and then cannot discover files based on their content or ensure information consistency across various information repositories. This paper presents a semantic-discovery method for accessing project information across repositories. By adopting semantic web technologies, including extensible markup language (XML), ontology, and logic rules, the semantic-discovery tool can access project files by their properties and relations. The method has been applied to searching for files using documents from a real project. The results show that the semantic content of a file can be used to ensure that only related files are retrieved.