Development of a mobile safety monitoring system for construction sites

Lee, Ung-Kyun; Kim, Joo Heon; Cho, Hunhee; Kang, Kyung-In

doi:10.1016/j.autcon.2008.08.002

Cited by 106 publications

(41 citation statements)

References 9 publications

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“…For construction equipment tracking and collision avoidance, researchers designed a system that transmits position data in real time from the GPS receivers mounted on the equipment. Lee et al [24] developed a safety monitoring system to reduce fatal accidents at a construction site. The system was composed of a hybrid sensing device (including ultrasonic and infrared sensors) for detecting the workers, a transmitter and repeaters for sending the detection data to a receiver, a receiver connected to the main computer, and software for data analysis.…”

Section: Review Of Proximity Warning Technologymentioning

confidence: 99%

Proximity Warning and Excavator Control System for Prevention of Collision Accidents

Lee

Kim

et al. 2017

Sustainability

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Construction is a hazardous industry in which accidents occur frequently. Occupational accidents at construction sites are a serious public health issue in Korea. Construction site conditions often create dangerous situations by requiring workers and heavy equipment to work in close proximity to each other. In 2015, approximately 11% (46) of the 437 occupational fatalities in the construction industry in Korea resulted from workers colliding with objects or equipment. In this paper, we present a proximity warning system developed to address this issue and enhance safety at construction sites. The proposed technology functions in real time to alert workers and equipment operators of hazardous proximity situations. Also, when the radio frequency identification (RFID) sensor detects an approaching worker, the main board instantly shuts down the excavator for the prevention of accident. This system contains an RFID tag, RFID reader, alarm device, camera, a display device (the Around View Monitor), and excavator control technology. A field test demonstrated successful performance of the proposed system. It is widely applicable in small construction fields alongside excavators and other equipment because this system does not require additional communication infrastructure, such as servers.

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Section: Review Of Proximity Warning Technologymentioning

confidence: 99%

Proximity Warning and Excavator Control System for Prevention of Collision Accidents

Lee

Kim

et al. 2017

Sustainability

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“…In this study, EXSPEM was applied in a safety monitoring system [16] as an illustrative case to explain its practical use in a construction project. The newly developed equipment for construction safety consisted of three parts: a mobile sensing device with hybrid sensors; a radio frequency repeater, which was a wireless sensor network device, and safety management software.…”

Section: A Real-time Safety Monitoring Systemmentioning

confidence: 99%

Development of Expertise-based Safety Performance Evaluation Model

Yoo¹,

Lee²

2013

Journal of the Korea Institute of Building Construction

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Construction projects have become increasingly complex in recent years, resulting in substantial safety hazards and frequent fall accidents. In an attempt to prevent fall accidents, various safety management systems have been developed. These systems have mainly been evaluated qualitatively and subjectively by practitioners or supervisors, and there are few tools that can be used to quantitatively evaluate the performance of safety management systems. We propose an expertise-based safety performance evaluation model (EXSPEM), which integrates a fuzzy approach-based analytic hierarchy process and a regression approach. The proposed model uses S-shaped curves to represent the degree of contribution by subjective expertise and is verified by a genetic algorithm. To illustrate its practical application, EXSPEM was applied to evaluate the safety performance of a newly developed real-time mobile detector monitoring system. It is expected that this model will be a helpful tool for systematically evaluating the application of a robust safety control and management system in a complex construction environment.

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“…collision avoidance, fall from heights etc…). Assisted design can help avert accidents at the design phase 3 , but a real-time warning system is anyway useful to avoid unexpected or difficult to model occurrences 4,5 .…”

Section: Brief Overview Of the Scientific Backgroundmentioning

confidence: 99%

Estimation of Job-Site Work Progress through On-Site Monitoring

Giretti¹,

Carbonari²,

Novembri³

et al. 2012

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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Purpose This paper reports on the development of intelligent probabilistic models for real-time estimation of construction progress, which operate on the basis of a continuous data flow collected by monitoring networks deployed on-site. Several authors listed the advantages that would be provided by the availability of such models, like project performance and quality control, timely onsite inspections, better control of health and safety prescriptions against job injuries and fatalities. The findings reported in this paper represent a feasibility study and preliminary examples of Bayesian Networks, which are able to infer the work progress attained at every step, starting from real-time tracks of the construction site activities. Activity tracks are represented as a set of state variables figuring out workers' effort, equipment and materials usage rates and other knowledge about the context. Method As estimations are always related to dynamic processes, Dynamic Object Oriented Bayesian Networks have been used to develop a set of first order Hidden Markov Models. Hence, the models are arranged as a sequence of time steps, where each time step propagates evidences collected by the site monitoring sensor network along the time line. The actual cumulative progress is computed as a function of the progress achieved in each time step. Models representing a number of typical tasks (external piping, onsite cast of reinforced concrete floor slab, walls erection, ceiling installation) for a real case of a construction site have been developed. Their structure has been designed as part of a general monitoring framework, covering all the phases from design to execution, where BIM design, monitoring systems, methodological process innovations, intelligent inferences and advanced visualization are combined. Results & Discussion The networks have been developed and validated through data collected from a real case, and they have been shown to be able to infer work progress, the accuracy of which depends on the resolution and quality of the collected data.

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Development of a mobile safety monitoring system for construction sites

Cited by 106 publications

References 9 publications

Proximity Warning and Excavator Control System for Prevention of Collision Accidents

Proximity Warning and Excavator Control System for Prevention of Collision Accidents

Development of Expertise-based Safety Performance Evaluation Model

Estimation of Job-Site Work Progress through On-Site Monitoring

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