{"title":"Heavy lifting localization system using sliding window filtering and sequential quadratic programming for safe modular integrated construction","authors":"Aimin Zhu, Zhiqian Zhang, Wei Pan","doi":"10.1016/j.autcon.2025.106473","DOIUrl":null,"url":null,"abstract":"<div><div>Heavy lifting is crucial in Modular integrated Construction (MiC), where ultra-wideband (UWB) technology can accurately track the lifting process for safe module installation. However, UWB's potential on lifting remains underutilized, particularly under non-line-of-sight propagation. This paper aims to develop a UWB-based Heavy Lifting Localization (HeLLo) system designed for achieving safe MiC during module lifting. The system integrates two lifting-specific localization models: Sliding Window Filtering-(Weighted) and Sequential Quadratic Programming models for line-of-sight and non-line-of-sight conditions, respectively. The system was verified using lab tests and computer simulations and was validated using a real-life MiC project. Results demonstrated that the HeLLo system's models outperformed other models such as Newton and Powell in accuracy and efficiency, achieving 25.66 cm in line-of-sight and 36.05 cm in non-line-of-sight accuracies within 1 ms. The HeLLo system ensures centimeter-level accuracy and millisecond-level efficiency to prevent lifting collisions, enhancing safety in MiC. The findings should stimulate the adoption of modular construction globally.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"179 ","pages":"Article 106473"},"PeriodicalIF":11.5000,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automation in Construction","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0926580525005138","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Heavy lifting is crucial in Modular integrated Construction (MiC), where ultra-wideband (UWB) technology can accurately track the lifting process for safe module installation. However, UWB's potential on lifting remains underutilized, particularly under non-line-of-sight propagation. This paper aims to develop a UWB-based Heavy Lifting Localization (HeLLo) system designed for achieving safe MiC during module lifting. The system integrates two lifting-specific localization models: Sliding Window Filtering-(Weighted) and Sequential Quadratic Programming models for line-of-sight and non-line-of-sight conditions, respectively. The system was verified using lab tests and computer simulations and was validated using a real-life MiC project. Results demonstrated that the HeLLo system's models outperformed other models such as Newton and Powell in accuracy and efficiency, achieving 25.66 cm in line-of-sight and 36.05 cm in non-line-of-sight accuracies within 1 ms. The HeLLo system ensures centimeter-level accuracy and millisecond-level efficiency to prevent lifting collisions, enhancing safety in MiC. The findings should stimulate the adoption of modular construction globally.
期刊介绍:
Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities.
The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.