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塔机起重作业夜间照明工效的BIM辅助优化研究 被引量:7

Study on BIM aided optimization for lighting efficiency of tower crane lifting operation at night
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摘要 为提升塔式起重机施工作业的夜间照明工效水平,采用数学模型和BIM技术相结合的方法,以灯源的光通量及入射角为光学驱动参数,模拟眩光值、照度及其均匀度等光学变量,建立照明工效的光度学BIM辅助优化模型,优化起重作业照明灯源光学参数。研究结果表明:对塔式起重机施工作业区照明灯源光学参数进行组合优化后,夜间起重作业面照度及其均匀度显著提升,眩光值满足起重作业视觉环境条件。研究结果可为塔式起重机夜间起重作业照明方案设计提供科学依据。 In order to improve the night lighting efficiency level of tower crane construction operation,the combined method of mathematical model and building information modeling(BIM)technology was adopted.Taking the luminous flux and incident angle of the lamp source as the optical driving parameters,the optical variables such as glare value,illuminance and uniformity were simulated,and a photometric BIM aided optimization model of lighting efficiency was established to optimize the optical parameters of the lamp source for lifting operation.The results showed that after the combined optimization on the optical parameters of the lighting source in the construction area of the tower crane,the illuminance and uniformity of the lifting operation surface at night were significantly improved,and the glare value met the visual environment conditions of the lifting operation.The research results can provide scientific basis for the lighting scheme design of tower crane lifting operation at night.
作者 晋良海 张晋恺 陈述 武帮杰 江新 JIN Lianghai;ZHANG Jinkai;CHEN Shu;WU Bangjie;JIANG Xin(College of Hydraulic & Environmental Engineering,China Three Gorges University,Yichang Hubei 443002,China;Hubei Key Laboratory of Hydropower Engineering Construction and Management,China Three Gorges University,Yichang Hubei 443002,China;Hubei Anhuan Technology Co.,Ltd.,Yichang Hubei 443002,China;Center of Standardization Evaluation for Production Safety,China Three Gorges University,Yichang Hubei 443002,China)
出处 《中国安全生产科学技术》 CAS CSCD 北大核心 2022年第5期186-191,共6页 Journal of Safety Science and Technology
基金 国家自然科学基金项目(52179136)。
关键词 塔式起重机 起重作业 照明工效 BIM 辅助优化 tower crane lifting operation lighting efficiency building information modeling(BIM) aided optimization
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