Recently, industrial accidents have been showing an increasing trend, especially in the Japanese chemical industrial complex. A lack of safety awareness and safety knowledge as well as insufficient safety ethics are factors in these accidents. In addition, industrial technology has become highly diversified and complicated, making it difficult for operators grasp the overall situation in emergencies. This paper shows that augmented reality (AR) and image recognition technology can provide field operators with the information they need during emergencies. Chemical plant operators must make quick decisions to prevent accident expansion. This study considers the human factors, such as misjudgement and miscommunication, of accident response as well as how accidents often occur in non-steady-state operations. At the time of an accident or disaster, emergency response operation is needed. To accurately convey information about the work, it is useful to recognize information by vision in addition to the output information by sound. The developed system can recognize the operation's target device and show the working procedures. It can help chemical plant operators to make quick decisions and follow correct operating procedures without error. This system could be a part of a chemical plant's safety training.
ASJC Scopus subject areas
- Chemical Engineering(all)