摘要：Lockout/Tagout (LOTO) is a procedure that considerably reduces the risk of work-related accidents by isolating and securing the energy sources of industrial equipment. In the Industry 4.0 era, safety procedures must also evolve towards more intelligent procedures supported by technologies such as machine learning or the Internet of Things. The LOTO procedures follow sheets that indicate how to perform the security. These sheets, manually generated, could be generated automatically to optimize the LOTO procedure. This paper proposes a methodology to achieve an automatically generation of such sheets. The first sub-objective is to extract information from the available LOTO sheets provided by the industrial partner and in a second step to develop different text mining methods and word similarity search algorithms. Several options are presented to address the second sub-objective, which aims to generate the sheets from the previously obtained dataset. Finally, the future steps of this research work will be presented. In practice, an automatic generation of such sheets would enable to quickly implement the LOTO procedure for the first time on an industrial equipment, which would reduce the risk of accidents.
