1 Introduction The engineering and construction(E&C)industry is human resource-intensive.Most E&C tasks are performed,handled,or supervised by humans.Besides,the size and complexity of todays E&C projects ...1 Introduction The engineering and construction(E&C)industry is human resource-intensive.Most E&C tasks are performed,handled,or supervised by humans.Besides,the size and complexity of todays E&C projects require the involvement of many professionals,often from different organizations,working together(Ballesteros-Perez et al.,2019).Further,the E&C industry is not only human resourceintensive but also leader-driven.The most vital resource of an E&C firm is its executive leadership(Perrenoud and Sullivan,2017).Of course,leadership is multifaceted and must be defined and bounded within the context of the topic of interest(Schell et al.,2018)-highly successful executive-level engineers leading project-based E&C organizations.展开更多
Placing and vibrating concrete are vital activities that affect its quality.The current monitoring method relies on visual and time-consuming feedbacks by project managers,which can be subjective.With this method,poor...Placing and vibrating concrete are vital activities that affect its quality.The current monitoring method relies on visual and time-consuming feedbacks by project managers,which can be subjective.With this method,poor workmanship cannot be detected well on the spot;rather,the concrete is inspected and repaired after it becomes hardened.To address the problems of retroactive quality control measures and to achieve real-time quality assurance of concrete operations,this paper presents a monitoring and warning solution for concrete placement and vibration workman-ship quality.Specifically,the solution allows for collecting and compiling real-time sensor data related to the work-manship quality and can send alerts to project managers when related parameters are out of the required ranges.This study consists of four steps:(1)identifying key operational factors(KOFs)which determine acceptable workmanship of concrete work;(2)reviewing and selecting an appropriate positioning technology for collecting the data of KOFs;(3)designing and programming modules for a solution that can interpret the positioning data and send alerts to project managers when poor workmanship is suspected;and(4)testing the solution at a certain construction site for validation by comparing the positioning and warning data with a video record.The test results show that the monitoring performance of concrete placement is accurate and reliable.Follow-up studies will focus on developing a communication channel between the proposed solution and concrete workers,so that feedbacks can be directly delivered to them.展开更多
文摘1 Introduction The engineering and construction(E&C)industry is human resource-intensive.Most E&C tasks are performed,handled,or supervised by humans.Besides,the size and complexity of todays E&C projects require the involvement of many professionals,often from different organizations,working together(Ballesteros-Perez et al.,2019).Further,the E&C industry is not only human resourceintensive but also leader-driven.The most vital resource of an E&C firm is its executive leadership(Perrenoud and Sullivan,2017).Of course,leadership is multifaceted and must be defined and bounded within the context of the topic of interest(Schell et al.,2018)-highly successful executive-level engineers leading project-based E&C organizations.
文摘Placing and vibrating concrete are vital activities that affect its quality.The current monitoring method relies on visual and time-consuming feedbacks by project managers,which can be subjective.With this method,poor workmanship cannot be detected well on the spot;rather,the concrete is inspected and repaired after it becomes hardened.To address the problems of retroactive quality control measures and to achieve real-time quality assurance of concrete operations,this paper presents a monitoring and warning solution for concrete placement and vibration workman-ship quality.Specifically,the solution allows for collecting and compiling real-time sensor data related to the work-manship quality and can send alerts to project managers when related parameters are out of the required ranges.This study consists of four steps:(1)identifying key operational factors(KOFs)which determine acceptable workmanship of concrete work;(2)reviewing and selecting an appropriate positioning technology for collecting the data of KOFs;(3)designing and programming modules for a solution that can interpret the positioning data and send alerts to project managers when poor workmanship is suspected;and(4)testing the solution at a certain construction site for validation by comparing the positioning and warning data with a video record.The test results show that the monitoring performance of concrete placement is accurate and reliable.Follow-up studies will focus on developing a communication channel between the proposed solution and concrete workers,so that feedbacks can be directly delivered to them.
