Research on the Digital-Driven Intelligent Control Technology for the Whole Cycle Risks of Cranes

In response to issues such as information isolation and ineffective quality and safety traceability in all stages of crane design, manufacturing, and usage in China, the digital-driven intelligent control technology for the full lifecycle risks of cranes was investigated. Multi-granular digital twin models for the full lifecycle of cranes, including design, manufacturing, operation and maintenance, and emergency management, were established; digital status monitoring and safety operation and maintenance technologies for cranes were developed; intelligent early warning, control, and simulation methods for cranes were created; remote health assessment and precise risk classification and grading supervision for cranes were achieved. This can enhance the safety level during crane usage and the quality of maintenance, further improve the supervision efficiency of cranes, reduce the safety risks during the construction process of cranes, and elevate the emergency handling capabilities.

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Publication Details

Published
2025-04-23
DOI
https://doi.org/10.58286/31051
Primary Topic
Engineering Diagnostics and Reliability
Type
article
Field-Weighted Citation Impact
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Research on the Digital-Driven Intelligent Control Technology for the Whole Cycle Risks of Cranes

Shuang Wang, Juncheng Jiang, Mingguang Zhang, Huifang Wang
Engineering Diagnostics and Reliability
article

Research on the Digital-Driven Intelligent Control Technology for the Whole Cycle Risks of Cranes

Shuang Wang, Juncheng Jiang, Mingguang Zhang, Huifang Wang
article en

Abstract

In response to issues such as information isolation and ineffective quality and safety traceability in all stages of crane design, manufacturing, and usage in China, the digital-driven intelligent control technology for the full lifecycle risks of cranes was investigated. Multi-granular digital twin models for the full lifecycle of cranes, including design, manufacturing, operation and maintenance, and emergency management, were established; digital status monitoring and safety operation and maintenance technologies for cranes were developed; intelligent early warning, control, and simulation methods for cranes were created; remote health assessment and precise risk classification and grading supervision for cranes were achieved. This can enhance the safety level during crane usage and the quality of maintenance, further improve the supervision efficiency of cranes, reduce the safety risks during the construction process of cranes, and elevate the emergency handling capabilities.

Openalex Percentile: Top 91%
Engineering Diagnostics and Reliability
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Research on the Digital-Driven Intelligent Control Technology for the Whole Cycle Risks of Cranes — Shuang Wang, Juncheng Jiang, et al. · (2025) | TGRS Research Map | TGRS