Research on Architecture of Typical Accident Prevention and Control and Early Warning System for High Temperature Molten Metal Operation

摘要

In view of the present typical high temperature molten metal homework frequent accidents, the lack of scientific and reasonable accident prevention and control and early warning technology, this article through to the related to cloud computing technology and the Internet of things technology were analyzed, and put forward a scheme based on paas cloud platform and industrial-grade sensor of the high temperature molten metal construction operation of typical accident prevention and control and warning system. The scheme with high temperature molten metal work related laws, specifications and standards as the basis, using the Bow-Tie analysis method to build up high temperature molten metal work typical accident prevention and control system, through the paas cloud platform to achieve the prevention and control system of information. Users can conduct typical accident risk cognition, static and dynamic enterprise risk assessment, job training through the system. The system has realized the parameters of the high temperature molten metal work accident early warning through the paas platform open API interface connection within the enterprise related sensors. The construction of the system provides a scientific and reasonable tool for enterprises to prevent the occurrence of accidents and reduce the loss of accidents.