In the context of the increasing scale of bridges and the increasing service life of bridges,it is very important to carry out efficient,accurate and intelligent bridge operation and maintenance.In recent years,advanc...In the context of the increasing scale of bridges and the increasing service life of bridges,it is very important to carry out efficient,accurate and intelligent bridge operation and maintenance.In recent years,advanced equipment,technology and intelligent algorithms have developed rapidly.It is necessary to apply advanced equipment and algorithms to bridge operation and maintenance business to facilitate the digitalization and intelligence of bridge operation and maintenance.To grasp the research progress on the bridge intelligent operation and maintenance,this paper summarizes the research progress in recent years from the aspects of intelligent detection equipment and technology,intelligent monitoring equipment and technology,intelligent data analysis,intelligent evaluation and early warning,and intelligent repair and maintenance.According to the review,more and more smart devices have been used to replace human beings to detect dangerous and hidden bridge components.At the same time,image processing,radar and other technologies have been used to analyze component damage more objectively and quantitatively.To solve the shortcomings of traditional sensors such as short life and low robustness,more non-contact measurement methods have been proposed.Scholars have proposed various intelligent algorithms to process the massive amount of bridge health monitoring data to improve the quality of the data.To achieve the rapid perception of bridge status and timely early warning of structural abnormalities,different from traditional theoretical calculations,scholars have tried to use data-driven methods to intelligently evaluate and early warning of bridge structural status.In terms of intelligent repair and maintenance,more intelligent algorithms have been used to optimize structural maintenance strategies and determine the best maintenance time by integrating multisource heterogeneous data.All these provide strong support for the automation,digitization and intelligence of bridge operation and maintenance.展开更多
深入研究日用化工行业应用建筑信息模型(building information modeling,BIM)技术的数字化转型过程,分析BIM技术在该领域中的优势。从施工、运营维护两方面入手,结合参考各领域具体的工程应用成果来描述BIM技术如何在日用化工行业中应用...深入研究日用化工行业应用建筑信息模型(building information modeling,BIM)技术的数字化转型过程,分析BIM技术在该领域中的优势。从施工、运营维护两方面入手,结合参考各领域具体的工程应用成果来描述BIM技术如何在日用化工行业中应用,展示数字化BIM模型从施工阶段到运营维护阶段的应用优势。通过研究,深入了解BIM技术在日用化工行业数字化转型中的重要作用,为日用化工行业的数字化管理水平和提升可持续发展能力提供有益的参考。展开更多
基金funded by the National Key R&D Program of China(Grant No.:2021YFB1600300)National Natural Science Foundation of China(Grant No.:52008027,51878058)Fundamental Research Funds for the Central Universities,CHD(No.:300102213212).
文摘In the context of the increasing scale of bridges and the increasing service life of bridges,it is very important to carry out efficient,accurate and intelligent bridge operation and maintenance.In recent years,advanced equipment,technology and intelligent algorithms have developed rapidly.It is necessary to apply advanced equipment and algorithms to bridge operation and maintenance business to facilitate the digitalization and intelligence of bridge operation and maintenance.To grasp the research progress on the bridge intelligent operation and maintenance,this paper summarizes the research progress in recent years from the aspects of intelligent detection equipment and technology,intelligent monitoring equipment and technology,intelligent data analysis,intelligent evaluation and early warning,and intelligent repair and maintenance.According to the review,more and more smart devices have been used to replace human beings to detect dangerous and hidden bridge components.At the same time,image processing,radar and other technologies have been used to analyze component damage more objectively and quantitatively.To solve the shortcomings of traditional sensors such as short life and low robustness,more non-contact measurement methods have been proposed.Scholars have proposed various intelligent algorithms to process the massive amount of bridge health monitoring data to improve the quality of the data.To achieve the rapid perception of bridge status and timely early warning of structural abnormalities,different from traditional theoretical calculations,scholars have tried to use data-driven methods to intelligently evaluate and early warning of bridge structural status.In terms of intelligent repair and maintenance,more intelligent algorithms have been used to optimize structural maintenance strategies and determine the best maintenance time by integrating multisource heterogeneous data.All these provide strong support for the automation,digitization and intelligence of bridge operation and maintenance.
文摘深入研究日用化工行业应用建筑信息模型(building information modeling,BIM)技术的数字化转型过程,分析BIM技术在该领域中的优势。从施工、运营维护两方面入手,结合参考各领域具体的工程应用成果来描述BIM技术如何在日用化工行业中应用,展示数字化BIM模型从施工阶段到运营维护阶段的应用优势。通过研究,深入了解BIM技术在日用化工行业数字化转型中的重要作用,为日用化工行业的数字化管理水平和提升可持续发展能力提供有益的参考。
