Abstract
This study proposes an approach to assist construction managers with fire management. Since accidental fires at construction sites often go undetected until they begin to spread, they can cause serious damage. Although researchers have applied information technology to construction site safety management, few studies have focused on the relationship between information techniques and construction site fires. After investigating this relationship, the results revealed two problems: difficult fire detection and disorderly emergency response. Therefore, the intent of this study was to build an intelligent construction site fire management platform by integrating image recognition for automatic fire detection and knowledge models for immediate emergency response. Based on several tests on three common types of accidental fires at construction sites, the results demonstrated that the platform can detect fires and alert construction managers quickly. Through mobile information transmission, the construction managers were able to understand the status of on-site fires and respond appropriately. This study offers a useful reference for similar applications in construction site safety management.
Highlights
In many countries, fatal accidents in the construction industry are more common than in other industries (Helander 1991)
This study revealed that construction managers still encounter two problems in the incipient and growth stages of accidental fires:
This study presented an approach for improving emergency response at construction site fires
Summary
Fatal accidents in the construction industry are more common than in other industries (Helander 1991). Researchers have proposed various means of fire management at construction sites (e.g. maintaining fire protective measures by assessing needs and capabilities). These approaches assist construction managers in establishing management policies. Project management techniques may not offer emergency strategies to cope with accidental fires, and site monitoring techniques may not provide sufficient detail regarding fires. This study proposes an approach that integrates image recognition and knowledge models. With this approach, construction managers can comprehend construction site fires in real time, and obtain expert assistance for emergency response. This study will serve as a useful reference for similar applications in construction site safety management
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