云建造平台下面向任务的建造装备配置算法研究  

Research on task-oriented construction equipment configuration algorithm based on cloud construction platform

作　　者：张慧平 刘广源 吕浩伟 朱洪涛[1,2,3,4] 刘盾 Zhang Huiping;Liu Guangyuan;Lu Haowei;Zhu Hongtao;Liu Dun(Key Laboratory of High Efficiency and Clean Mechanical Manufacture of the Ministry of Education,Shandong University,Jinan 250061,China;National Experimental Teaching Demonstration Center of Mechanical Foundation,Shandong University,Jinan 250061,China;Center for Advanced Jet Engineering Technologies(CaJET),Shandong University,Jinan 250061,China;School of Mechanical Engineering,Shandong University,Jinan 250061,China)

机构地区：[1]山东大学高效洁净机械制造教育部重点实验室,山东济南250061 [2]山东大学机械基础国家级实验教学示范中心,山东济南250061 [3]山东大学先进射流工程技术研究中心,山东济南250061 [4]山东大学机械工程学院,山东济南250061

出　　处：《土木工程学报》2023年第9期168-177,共10页China Civil Engineering Journal

摘　　要：传统的建造模式通过机械化地配置建造资源、孤立化地进行施工、竣工后粗放式地处理残余废料,这个过程将会造成不小的资源流失,建造施工的状态信息、装备信息等未得到有效的整理和收集。此外,学者们较多关注智能施工、智能运维等施工过程中的管理,对施工前,即对于资源优化配置的研究较少,该文根据调研,提出关于云建造平台(分散的建造装备集成管理,分散使用)的概念将有力地规避上述缺点,云建造平台以云平台方、服务提供方、服务使用方为功能模块,以任务分解、资源匹配、服务优化等手段为依托,建立起兼顾云建造平台三方利益(即考虑时间、质量、成本、技术、可靠度等)的全方位云建造平台装备资源动态优化配置体系。该文提出了具有莱维飞行特征的遗传算法并基于工程算例进行验证和分析,取得了良好的效果。The traditional construction mode involves mechanized allocation of construction resources,independent construction,and extensive disposal of residual waste after completion.During this process,significant loss of resources may be produced,and construction status information,equipment information,etc.may not be effectively collected and sorted out.Over the years,scholars have paid great attention to the management of intelligent construction,intelligent operation and maintenance,while research on the optimal allocation of resources before construction has been quite limited.To address these problems,the concept of cloud construction platform(intergrated management and decentralized use of decentralized construction equipment)is proposed in this work.The cloud construction platform comprises of those functional modules such as the cloud platform,service providers and service users,and relies on task decomposition,resource matching,service optimization,etc.to establish a comprehensive dynamic optimization allocation system for the equipment resources of the cloud construction platform.The established system also takes into account the interests of three parties(time,quality,cost,technology,reliability,etc.).Finally,a genetic algorithm with Levy flight characteristic is verified using an engineering example with good agreements in the results.

关 键 词：云建造 资源配置 遗传算法 莱维飞行 智能建造 

分 类 号：TU713[建筑科学—建筑技术科学]