Applying Sensor-Based Technology to Improve Construction Safety Management

Zhang, Mingyuan; Cao, Tianzhuo; Zhao, Xuefeng

doi:10.3390/s17081841

Cited by 117 publications

(75 citation statements)

References 89 publications

(83 reference statements)

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“…The current studies and applications only utilize a single system or technology. The authors of [40] discuss that systems that are based on single systems are not practical enough, but conversely, the complex sensor systems can yield satisfying results. Therefore, to advance the effectiveness of emerging technologies to achieve current challenges faced in the construction industry, there is a need for a comprehensive and interoperable IoT-based system that can be adaptable to the variety of sensors, technologies, and applications.…”

Section: Discussionmentioning

confidence: 99%

“…Sensors have helped in the development and advancement of safety studies. The authors of [40] comprehensively review the application of sensor technology in construction safety studies and emphasize the role of smartphones as a comprehensive sensor set which are always on a person. Smart phones' numerous advantages and ease of accessibility turns them into an optimal choice.…”

Section: Iot For Construction Safetymentioning

confidence: 99%

See 1 more Smart Citation

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

Costin

Wehle

Adibfar

2019

Safety

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Active leading indicators (ALIs) have the potential to identify safety hazards and prompt immediate actions to prevent incidents. Currently, there is a major gap in research that incorporates a fully automated ALI system because implementation has been hindered by a lack of established industry thresholds of measurable performance that would trigger an actionable response. Therefore, this paper addresses this gap by presenting a new method that utilizes the Internet of Things (IoT) to collect quantifiable data which can trigger an actionable response in real time based on established thresholds. This novel method integrates the Construction Industry Institute (CII) active leading indicator framework with a prototype IoT-based system. Significantly, the ALI provides the physical–virtual feedback loop, which is an essential aspect of the IoT system because it provides real-time feedback to both the users and systems. This paper also identifies potential inputs to the ALI framework from emerging IoT-enabled systems. A case study was presented to initially validate the IoT-based ALI framework. Bluetooth-enabled heart rate monitors were issued to workers in a hazardous and critical mining construction site. The ALIs that were recorded included heart rate and body temperature. Thresholds were established that alerted the monitoring safety staff when a worker exhibited potentially unsafe conditions. The results of the study demonstrated the feasibility of the system. Additionally, other results included worker resistance; non-disclosing of medical conditions, and limitations for IoT connectivity.

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Section: Discussionmentioning

confidence: 99%

Section: Iot For Construction Safetymentioning

confidence: 99%

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

Costin

Wehle

Adibfar

2019

Safety

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“…RFID's have the capability to track positions of RFID tags with varying accuracy, depending on the location and the arrangement of the readers in relation to the tags. Research done on using RFID's for locating objects on construction sites showed 3.7-meter positional error [4,5,6]. Better results were obtained in other studies which demonstrated a 1.3-meter average positional error [7].…”

Section: Research In Rfid Applications In Construction For Productivitymentioning

confidence: 97%

Using RFID’s for job-site productivity evaluation of labor and crews

Small¹

2018

Creative Construction Conference 2018 - Proceedings

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Radio frequency identification (RFID) provide unique identification of objects through non-contact scanning. RFID technology has developed to the point where the price point has made the technology pervasive for inventory control and management of commercial products. Inventory control and storage management is paramount within construction and RFID's provide a useful alternative to bar-codes and other inventory management approaches. RFID's have the additional benefit of providing short-range communication capabilities which could enhance security and theft prevention through 'geofencing' style control. Material and equipment management are natural applications for the technology. The question naturally arises as to the impact of RFID on labor management and how such technology could be used to improve job-site productivity. This has been explored through research performed on-site in the Middle East to track location of workers and to post-process information for productivity assessment. The results of the study will be presented, the advantages and disadvantages discussed, and future research directions proposed.

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“…The main role of sensor is to acquire information. Sensor is used to help dealing with several issues on safety and security, energy monitoring and control, environmental protection and health (Ho et al, 2005, Patel et al, 2012, Zhang et al, 2017.…”

Section: Introductionmentioning

confidence: 99%

3d Geo-Clustering for Wireless Sensor Network in Smart City

Azri

Ujang

Rahman

2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> Smart city is a connection of physical and social infrastructure together with the information technology to leverage the collective intelligence of the city. Smart cities depend on a great extent on wireless sensor network to manage and maintain their services. Advanced sensor technologies are used to acquire information and help dealing with issues like air pollution, waste management, traffic optimization, and energy efficiency. However, no matter how much smart city may focus on sensor technology, data that are produced from sensors do not organize themselves in a database. Such tasks require a sophisticated database structure to produce informative data output. Besides that, wireless sensor network requires a proper design to improve the energy efficiency. The design will aid to prolong the lifespan of wireless network efficiently. In this study, we proposed a new technique that will be used to organize the information of wireless sensor network in the spatial database. Specific algorithm which is 3D geo-clustering algorithm is used to tackle several issues of location of the sensor in three-dimensional urban area in smart city. The algorithm is designed to minimizing the overlap among group clusters. Overlap plays an important role for energy efficiency. Thus, detection of sensors in two or more group clusters will avoid it from transmitting the same signal to cluster head node. It is prove that this algorithm would only create 5% to 10% overlap among group clusters. Several experiments are performed in this study to evaluate the algorithm. Based on the simulation results indicate that this algorithm can balance nodes energy consumption and prolong the network’s life span. It also has good stability and extensibility. Several tests are performed to validate the efficiency of the technique to measure the database performance.</p>

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Applying Sensor-Based Technology to Improve Construction Safety Management

Cited by 117 publications

References 89 publications

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

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

Using RFID’s for job-site productivity evaluation of labor and crews

3d Geo-Clustering for Wireless Sensor Network in Smart City

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