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Analysis of Building construction Quality Control and safety Management

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Journal of Architectural Research and Development 2023年第2期7卷 59-63页

作者： Shiwei Sun China Railway First Bureau Group Co. Ltd.Guangzhou BranchGuangzhou 511492Guangdong ProvinceChina

Quality control and safety management are two very important contents in building construction project management.Once the construction quality is not up to standard or a safety accident occurs,the economic benefits of the project will be severely impacted.However,there are still some problems in the quality and safety management of the project.In this paper the problems in construction quality control and safety management are analyzed,and effective countermeasures are put forward,in hopes to help improve construction quality and safety.

关键词： Building construction Quality control construction safety

Schedule Compression Impact on construction Project safety

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Frontiers of Engineering Management 2015年第4期2卷 344-350,393页

作者： Curt Webb Lu Gao Ling-guang Song Mossi Ghisolfi Group Department of construction Management University of Houston

Many construction projects are met with stringent timelines or the threat of exorbitant liquidated damages. In addition, construction schedulers are frequently forced to incorporate aggressive schedule compression techniques. As already discussed by previous researchers, these schedule compression techniques have direct impacts on project productivity and quality defects.Researchers have also pointed out that schedule compression will affect safety incidents such as Occupational safety & Health Administration recordable injuries and near misses over long project durations. However, most of the existing studies treated safety as a subcategory of project productivity and project quality, and minimal research has been done to directly quantify the effect of schedule compression on safety at the project level.Therefore, in this research, we conducted a survey and statistical analysis to investigate the relationship between schedule compression and safety in construction projects.We interviewed various members of the Houston construction community from both industrial and non-industrial roles. Statistical analysis was used to identify factors that have significant impacts on the occurrence of safety incidents at an industry specific level.

关键词： construction safety schedule compression overtime work shift Hurdle model

The Research Review of the Impact of Design to construction safety

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Frontiers of Engineering Management 2015年第3期2卷 224-227页

作者： Lin Yang Qi-ming Li School of Civil Engineering Lanzhou Jiaotong University School of Civil Engineering Southeast University

The constructability of design impacts the project construction process. Early researches categorized the constructability problems into two types, the construction-technique-associated and the project-target-associated.And furthermore, this paper proposes a new kind of constructability problem which associated with construction safety. Finally, it makes suggestions for research of the safety associated constructability.

关键词： constructability construction safety prevention thought design

A GIS-based methodology for safe site selection of a building in a hilly region

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Frontiers of Architectural Research 2016年第1期5卷 39-51页

作者： Satish Kumar V.K. Bansal Department of Civil Engineering National Institute of Technology Hamirpur Himachal Pradesh India

Worker safety during construction is widety accepted, but the selection of safe sites for a building is generally not considered. Safe site selection （SSS） largely depends upon compiling, analyzing , and refining the information of an area where a building is tikety to be tocated. The locationat and topographical aspects of an area located in hilly regions pray a major rote in SSS, but are generally neglected in traditional and CAD-based systems used for site setection. Architects and engineers select a site based on their judgment, knowledge, and experience, but issues related to site safety are generally ignored. This study reviewed the existing literature on site selection techniques, building codes, and approaches of existing standards to identify various aspects cruciat for SSS in hilly regions. A questionnaire survey was conducted to identify various aspects that construction professionats consider critical for SSS. This study exptored the apptication of geographic information systems （GIS） in modeting the locational and topographical aspects to identify areas of suitabitity. A GIS-based methodotogy for locating a safe site that satisfies various spatial safety aspects was devetoped.

关键词： construction safety GIS Site selection Spatial safetyaspects Topography safety code provisions

Worker’s Helmet Recognition and Identity Recognition Based on Deep Learning

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Open Journal of Modelling and Simulation 2021年第2期9卷 135-145页

作者： Jie Wang Guangzu Zhu Shiqi Wu Chunshan Luo School of Civil Engineering Hefei University of Technology Hefei China

For decades, safety has been a concern for the construction industry. Helmet detection caught the attention of machine learning, but the problem of identity recognition has been ignored in previous studies, which brings trouble to the subsequent safety education of workers. Although, many scholars have devoted themselves to the study of person re-identification which neglected safety detection. The study of this paper mainly proposes a method based on deep learning, which is different from the previous study of helmet detection and human identity recognition and can carry out helmet detection and identity recognition for construction workers. This paper proposes a computer vision-based worker identity recognition and helmet recognition method. We collected 3000 real-name channel images and constructed a neural network based on the You Only Look Once (YOLO) v3 model to extract the features of the construction worker’s face and helmet, respectively. Experiments show that the method has a high recognition accuracy rate, fast recognition speed, accurate recognition of workers and helmet detection, and solves the problem of poor supervision of real-name channels.

关键词： construction safety Human Identity Recognition Helmet Recognition Computer Vision Deep Learning

2D Part-Based Visual Tracking of Hydraulic Excavators

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World Journal of Engineering and Technology 2016年第3期4卷 101-111页

作者： Bo Xiao Ruiqi Chen Zhenhua Zhu Department of Building Civil and Environmental Engineering Concordia University Montreal Canada School of Information Science University of Tampere Tampere Finland

Visual tracking has been widely applied in construction industry and attracted signifi-cant interests recently. Lots of research studies have adopted visual tracking techniques on the surveillance of construction workforce, project productivity and construction safety. Until now, visual tracking algorithms have gained promising performance when tracking un-articulated equipment in construction sites. However, state-of-art tracking algorithms have unguaranteed performance in tracking articulated equipment, such as backhoes and excavators. The stretching buckets and booms are the main obstacles of successfully tracking articulated equipment. In order to fill this knowledge gap, the part-based tracking algorithms are introduced in this paper for tracking articulated equipment in construction sites. The part-based tracking is able to track different parts of target equipment while using multiple tracking algorithms at the same sequence. Some existing tracking methods have been chosen according to their outstanding performance in the computer vision community. Then, the part-based algorithms were created on the basis of selected visual tracking methods and tested by real construction sequences. In this way, the tracking performance was evaluated from effectiveness and robustness aspects. Throughout the quantification analysis, the tracking performance of articulated equipment was much more improved by using the part-based tracking algorithms.

关键词： Visual Tracking Hydraulic Excavators construction safety Part-Based Tracking