Real-time Worker Safety Management System Using Deep Learning-based Video Analysis Algorithm

2020 ◽  
Vol 9 (3) ◽  
pp. 25-30
Author(s):  
So Yeon Jeon ◽  
Jong Hwa Park ◽  
Sang Byung Youn ◽  
Young Soo Kim ◽  
Yong Sung Lee ◽  
...  
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Video Analysis ◽  
Management System ◽  
Safety Management ◽  
Worker Safety ◽  
Safety Management System ◽  
Analysis Algorithm

scholarly journals A REAL-TIME LOCATION-BASED CONSTRUCTION LABOR SAFETY MANAGEMENT SYSTEM

2014 ◽  
Vol 20 (5) ◽  
pp. 724-736 ◽  
Author(s):  
Kwang-Pyo Lee ◽  
Hyun-Soo Lee ◽  
Moonseo Park ◽  
Hyunsoo Kim ◽  
Sangwon Han
Keyword(s):  
Real Time ◽  
Construction Industry ◽  
Management System ◽  
Safety Management ◽  
Economic Loss ◽  
Safety Management System ◽  
Labor Safety ◽  
Construction Safety Management ◽  
Construction Accidents ◽  
Early Warnings

The construction industry continues to record a high number of accidents compared to other industries. Furthermore, the ramifications of construction accidents are growing in terms of both economic loss and loss of life with trends toward larger-scale, more complex projects. For this reason, there is an increasing awareness of the importance of safety management in the construction industry, and the need for more effective safety management techniques. This paper introduces a real-time location-based construction labor safety management system that tracks and visualizes workers’ locations in real-time and sends early warnings to endangered workers. The system is developed by integrating: a real-time locating system (RTLS) for tracking of workers’ location; a location monitoring system for mapping the workers location on a computerized building model; and alarm technology for sending early warnings. The developed system has been applied to an apartment project and an RTLS technology test center in Korea, and proved to be effective in tracking and monitoring workers in real-time and preventing construction accidents. It is envisioned that the developed system will enable proactive construction safety management in South Korea and the methodologies developed in this study will be applicable to other contexts with minimal customization.

scholarly journals Design of hazardous materials transportation safety management system under the vehicle-infrastructure connected environment

2019 ◽  
Vol 2 (1) ◽  
pp. 14-24 ◽  
Author(s):  
Xueyan Yang ◽  
Changxi Ma ◽  
Changfeng Zhu ◽  
Bo Qi ◽  
Fuquan Pan ◽  
...  
Keyword(s):  
Real Time ◽  
Management System ◽  
Safety Management ◽  
Hazardous Materials ◽  
Transportation Safety ◽  
Safety Management System ◽  
Content Type ◽  
Hazardous Materials Transportation ◽  
Emergency Rescue ◽  
Database Technology

Purpose For the purpose of reducing the incidence of hazardous materials transport accident, eliminating the potential threats and ensuring their safety, aiming at the shortcomings in the process of current hazardous materials transportation management, this paper aims to construct the framework of hazardous materials transportation safety management system under the vehicle-infrastructure connected environment. Design/methodology/approach The system takes the intelligent connected vehicle as the main supporter, integrating GIS, GPS, eye location, GSM, networks and database technology. Findings By analyzing the transportation characteristics of hazardous materials, this system consists of five subsystems, which are vehicle and driver management subsystem, dangerous sources and hazardous materials management subsystem, route analysis and optimization subsystem, early warning and emergency rescue management subsystem, and basic information query subsystem. Originality/value Hazardous materials transportation safety management system includes omnibearing real-time monitoring, timely updating of system database, real-time generation and optimization of emergency rescue route. The system can reduce the transportation cost and improve the ability of accident prevention and emergency rescue of hazardous materials.

Research on Petrochemical Plant Safety Management System Basis of Cloud Computing

2014 ◽  
Vol 614 ◽  
pp. 507-512
Author(s):  
Chuan Kun Li ◽  
Xiao Juan Huang ◽  
Chun Li Wang ◽  
Xin Jiang Gao
Keyword(s):  
Cloud Computing ◽  
Information System ◽  
Real Time ◽  
Management System ◽  
Safety Management ◽  
Petrochemical Plant ◽  
Process Safety ◽  
Safety Management System ◽  
Plant Safety ◽  
Safety Knowledge

Cloud computing is a large-scale distributed computing mode, which forms an abstract, virtual, and dynamically scalable resource pool. The resource pool can provide services including computing, storage, development platform and software to users through Internet on demand. Therefore, it possesses powerful computing and storage capacity and even lots of other advantages. In this paper, the petrochemical plant safety management system (PSMS) proposed based on cloud computing whose function can be extended dynamically. It includes the online database concerning process safety knowledge, production-related information system which can be used to train operators and fulfill online inquiry. It also contains hazard fingerprints libraries and the hazard countermeasure libraries of chemical process. PSMS can executive computations with different scales and types based on massive real-time data collected from process. And the computation results can be matched with the hazard fingerprints database to evaluate and predict the process safety situation. If PSMS interacts with the DCS, the process may eliminate hazard by itself based on the hazard countermeasure database. Therefore, the real time information and safety knowledge of process can be organized to form wisdom, which would enhance the process safety greatly. The computing power of the cloud computing can guarantee the model computation completed just in time. The powerful sever cluster and highly reliable data center of the cloud computing guarantee that the information system, hazard fingerprints database and hazard countermeasure database can be extended dynamically, which also guarantee the in-time matching among computation results, hazard fingerprints, hazard fingerprints and its countermeasures. In order to take full advantages of cloud computing to make it easy to expand and upgrade, and then to solve the problem that the different petrochemical production system needs different services, the software will be developed with service oriented architecture (SOA) which is more abstract than object oriented architecture (OOA).

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