Leading Indicators—A Conceptual IoT-Based Framework to Produce Active Leading Indicators for Construction Safety

Costin, Aaron; Wehle, Andrew; Adibfar, Alireza

doi:10.3390/safety5040086

Cited by 32 publications

(17 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Their article reported that the deep fully convolutional network (FCN) achieved about 90 percent in average precision. Costin et al (2019) also presented their work about an IoT-based system for data collection. The paper demonstrated the feasibility of the system by conducting a case study.…”

Section: Literature Review and Research Problemmentioning

confidence: 99%

Fourth industrialization-oriented offsite construction: case study of an application to an irregular commercial building

Moon

Ham

Kim³

et al. 2020

ECAM

View full text Add to dashboard Cite

PurposeThis study, a research project, aims to examine the distinct characteristics of the Fourth Industrial Revolution (4IR), with a focus on construction. Following this examination, the paper presents a field study to evaluate the impact of the 4IR on the construction process.Design/methodology/approachThe first half of this project is dedicated to defining the 4IR by reviewing existing literature. The other half of the project presents a case study to demonstrate the concept of the 4IR and measure the effect of its application. To validate the defined concept of the 4IR, the study focuses on the following: autonomous system for producing drawings and robotics in construction.FindingsThe intensive literature review revealed three unequivocal features of the 4IR: defined tasks, undefined tasks and improvement possibilities. The following case study showed that the incorporation of the three 4IR features resulted in improved productivity and efficiency during the construction of the podium for the Lotte World Tower. For example, the macro-based autonomous system achieved 5.52 shop drawings per hour, highlighting the potential impact of independent, autonomous machinery.Originality/valueThe originality of this project stems from its attempt to quantify the effectiveness of applying autonomous technologies to a practical project. While previous works in this field have focused on system development and improvement, this paper presents an autonomous system at work in an actual project, in which junior engineers were able to be entirely replaced. The system was successful in independently creating numerous required shop drawings. The value of this analysis is to generate scientific evidence to evaluate the efficacy of the adoption of 4IR-oriented technologies.

show abstract

Section: Literature Review and Research Problemmentioning

confidence: 99%

Fourth industrialization-oriented offsite construction: case study of an application to an irregular commercial building

Moon

Ham

Kim³

et al. 2020

ECAM

View full text Add to dashboard Cite

show abstract

“…Costin et al [67] reported on a case study in which workers' HR and BT were monitored using Polar H7 at a hazardous critical mining site. Thresholds were used to alert the safety managers to potentially unsafe conditions.…”

Section: Additional Use Of Wearable Sensors In Contexts Related To Ncdsmentioning

confidence: 99%

“…The technology used in the case study is one application in an active leading indicators (ALIs) IoT-based framework aimed at improving construction safety and productivity. Further information on the ALI framework was provided in [67].…”

Section: Additional Use Of Wearable Sensors In Contexts Related To Ncdsmentioning

confidence: 99%

Wearable Sensors for Monitoring and Preventing Noncommunicable Diseases: A Systematic Review

Kristoffersson

Lindén

2020

Information

View full text Add to dashboard Cite

Ensuring healthy lives and promoting a healthy well-being for all at all ages are listed as some of the goals in Agenda 2030 for Sustainable Development. Considering that noncommunicable diseases (NCDs) are the leading cause of death worldwide, reducing the mortality of NCDs is an important target. To reach this goal, means for detecting and reacting to warning signals are necessary. Here, remote health monitoring in real time has great potential. This article provides a systematic review of the use of wearable sensors for the monitoring and prevention of NCDs. In addition, this article not only provides in-depth information about the retrieved articles, but also discusses examples of studies assessing warning signals that may result in serious health conditions, such as stroke and cardiac arrest, if left untreated. One finding is that even though many good examples of wearable sensor systems for monitoring and controlling NCDs are presented, many issues also remain to be solved. One major issue is the lack of testing on representative people from a sociodemographic perspective. Even though substantial work remains, the use of wearable sensor systems has a great potential to be used in the battle against NCDs by providing the means to diagnose, monitor and prevent NCDs.

show abstract

“…The key technologies that enable the IoT network are wireless sensor networks (WSN) devices, such as RFID and Bluetooth. Other technologies that can integrate with IoT systems include barcodes, industrial sensors and actuators, location-based services, and wearables [30].…”

Section: Data Acquisition and Analyticsmentioning

confidence: 99%

A Predictive Analysis on Emerging Technology Utilization in Industrialized Construction in the United States and China

Qian

Costin

2020

Algorithms

Self Cite

View full text Add to dashboard Cite

Considering the increasing use of emerging technologies in industrialized construction in recent years, the primary objective of this article is to develop and validate predictive models to predict the emerging technology utilization level of industrialized construction industry practitioners. Our preliminary research results indicate that the company background and personal career profiles can significantly affect practitioners’ technology utilization level. Thus, our prediction model is based on four variables: company size, company type, working experience, and working position. The United States and China are selected as the case studies to validate the prediction model. First, a well-designed questionnaire survey is distributed to the industrialized construction industry practitioners from the two countries, which leads to 81 and 99 valid responses separately. Then, ordinal logistic regression is used to develop a set of models to predict the practitioners’ utilization level of the four main technology types. Finally, the external test dataset consisting of 16 cases indicates the prediction models have a high accuracy. The results also reflect some differences of the technology utilization status in the industrialized construction industry between the United States and China. The major contribution of this research is offering an efficient and accurate method to predict practitioners’ technology utilization level in industrialized construction. Significantly, the models are believed to have a wide application in promoting the emerging technologies in the actual industrialized construction.

show abstract

Leading Indicators—A Conceptual IoT-Based Framework to Produce Active Leading Indicators for Construction Safety

Cited by 32 publications

References 45 publications

Fourth industrialization-oriented offsite construction: case study of an application to an irregular commercial building

Fourth industrialization-oriented offsite construction: case study of an application to an irregular commercial building

Wearable Sensors for Monitoring and Preventing Noncommunicable Diseases: A Systematic Review

A Predictive Analysis on Emerging Technology Utilization in Industrialized Construction in the United States and China

Contact Info

Product

Resources

About