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面向起重机结构承载能力评估的数字孪生系统构建方法

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针对当前起重机本质安全所面临的监测力度差、能力指标单一、数据利用率不高导致承载能力评估效率低、评估结果不够全面的问题,本着"虚实互控-互调-互补"的思想,提出面向起重机结构承载能力评估的数字孪生系统构建方法.从设备服役场景出发,结合数字孪生五维模型,设计起重机结构承载能力数字孪生框架;以多指标下的结构承载能力动态综合评估方法为支撑,围绕虚实映射、数据交互与服务交互,分层分级阐述结构承载能力数字孪生系统构建方法;从模块内聚,功能集成的角度,搭建数字孪生系统平台.以YDC20/30轻小型移动式起重机为例,验证了所提方法及系统的有效性,为及时精准判断起重机服役过程中的安全性提供了一种新途径、新策略.
Digital twin system construction method for evaluating load carrying capacity of crane structures
In the current intrinsic safety of cranes,poor monitoring efforts,single performance indicators and low da-ta utilization lead to low efficiency and incomplete evaluation results in carrying capacity evaluation.Guided by the i-dea of'virtual and real mutual control,mutual adjustment and complementarity',the digital twin system construc-tion method for evaluating the load carrying capacity of crane structures was proposed.The digital twin framework for the load carrying capacity of crane structures was designed by considering equipment service scenarios and utili-zing a digital twin five-dimensional model.Supported by the dynamic comprehensive evaluation method of structural load carrying capacity under multiple indicators,the construction method of the digital twin system for structural load carrying capacity was elaborated hierarchically and hierarchically around virtual real mapping,data interaction and service interaction.The digital twin system platform was built from the perspective of module cohesion and functional integration.The YDC20/30 light and small mobile crane was taken as an example,and the effectiveness of the proposed method and system was verified,which provided a new approach and strategy for timely and accu-rate assessment of the safety of the crane during service.

digital twinmobile cranescarrying capacitycomprehensive evaluationvirtual real mapping

董青、胡双贤、徐格宁、南方磊、戚其松

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太原科技大学 机械工程学院,山西 太原 030024

数字孪生 移动式起重机 承载能力 综合评估 虚实映射

国家自然科学基金青年基金起重机械关键技术全国重点实验室项目State Key Laboratory of Crane Technology,China

5210526952105269

2024

计算机集成制造系统
中国兵器工业集团第210研究所

计算机集成制造系统

CSTPCD北大核心
影响因子:1.092
ISSN:1006-5911
年,卷(期):2024.30(3)
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