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Application Strategy of Digital Comprehensive Management and Maintenance System for Bridges
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作者 Shengzhong Xiang Linlong Wang +1 位作者 Manman Feng Jian Cao 《Journal of World Architecture》 2024年第2期154-159,共6页
Effective application of digital integrated management and maintenance systems is essential for successful operation and maintenance management of bridge projects.This article analyzes the application strategy of such... Effective application of digital integrated management and maintenance systems is essential for successful operation and maintenance management of bridge projects.This article analyzes the application strategy of such systems.It provides an overview of comprehensive digital management and maintenance of bridges,an analysis of the basic components of the integrated management and maintenance system,and its application strategies.This study aims to offer guidance for the application of the system and to improve the quality of modern bridge engineering management and maintenance work. 展开更多
关键词 Bridge engineering Digital integrated management and maintenance system Component modules
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基于BIM+技术的城市地下综合管廊智能运维管理研究
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作者 赖一飞 唐嘉伶 胡小勇 《经济管理学刊(中英文版)》 2023年第2期41-51,共11页
城市地下综合管廊是保障城市正常运转的“生命线”,关系着广大民众的日常生活和社会的稳定,如何使其平稳、高效运行已成为社会各界广为重视的问题。综合管廊运维管理涉及的主客体众多,以人工监管方式为主的传统运维方式效率低、准确率... 城市地下综合管廊是保障城市正常运转的“生命线”,关系着广大民众的日常生活和社会的稳定,如何使其平稳、高效运行已成为社会各界广为重视的问题。综合管廊运维管理涉及的主客体众多,以人工监管方式为主的传统运维方式效率低、准确率不足、安全性难以保障,因此,本文基于BIM+技术视角,为城市地下综合管廊的智能运维管理提供一种新思路,以期实现综合管廊管理的标准化、规范化,提高管理效率、降低管理成本。本文包括引言与结语共分为五个部分。首先,介绍本文的研究背景、意义,以及研究思路。其次,阐述综合管廊传统运维管理模式的现状及存在问题。然后,提出综合管廊运维管理的基本目标,并基于BIM+技术,尝试构建城市地下综合管廊的智能运维管理系统。最后,对文章进行总结并提出展望。 展开更多
关键词 BIM+ Urban Underground Utility Tunnel Intelligent Operation and maintenance management
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Deploying a Deep Learning-based Application for an Efficient Ther­mal Energy Storage Air-Conditioning(TES-AC)System:Design Guidelines
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作者 Mirza Rayana Sanzana Mostafa Osama Mostafa Abdulrazic +1 位作者 Jing Ying Wong Chun-Chieh Yip 《Journal of Electronic & Information Systems》 2022年第2期21-29,共9页
Facility management and maintenance of the Thermal-Energy-Storage Air-Conditioning(TES-AC)system is a tedious task at a large scale mainly due to the charging load that can increase energy consumption if needed to be ... Facility management and maintenance of the Thermal-Energy-Storage Air-Conditioning(TES-AC)system is a tedious task at a large scale mainly due to the charging load that can increase energy consumption if needed to be charged at peak hours.Besides,maintenance of TES-AC at a large scale gets complex as it contains many sensor data.By utilizing deep learning techniques on the sensor data,charging load prediction can be made possible,so facility managers can prepare in advance.However,a deep learning-based application will be unusable if it is not deployed in a user-friendly manner where facility managers can benefit from this application.Hence,this research focuses on gathering design guidelines for a deep learning-based application and further validates the design considerations with a developed application for efficient human-computer interaction through qualitative analysis.The approach taken to gather design guidelines demonstrated a positive correlation between expert-suggested features and the user-friendly aspect of the application as 67.08%of participants found the features suggested by experts to be most satisfactory.Furthermore,it evaluates user satisfaction with the advanced developed application for TES-AC according to the gathered design guidelines. 展开更多
关键词 Advanced application Deep learning Thermal-energy-storage AIR-CONDITIONER Facility management and maintenance Analysis Design guidelines
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