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Development and Implementation of a Scalable and Replicable Industrial Environment at Low Cost to Control an Industrial Process

Abstract:

Automation systems allow the processes to be efficient; however, they are expensive, and an automation process is proposed at low cost, through the use of open-source tools considering all the variables necessary for its optimal operation, and whose results are intended to be replicable and scalable in different processes of an industrial plant. Of course, it contains the design, development, and implementation of three human–machine interfaces that facilitate the control and monitoring of each of the variables and states of the process. These interfaces are segmented as follows. The first one proposes the use of a chatbot that, on the one hand, allows remote control instructions to be sent to the process, while, on the other hand, it can receive information on the status of the process, either by request, or automatically, considering cases of alarms. The second interface is related to the use of a voice assistant allowing to connect with the user bidirectionally with the process through voice commands using natural language. The third interface is related to the use of augmented reality techniques to access process information. In general, the project seeks to present an alternative solution for the implementation of automated industrial processes, focusing its focus, on the one hand, on reducing costs without altering the characteristics of an industrial automatization, while on the other hand, it seeks to incorporate new interfaces, that seek to reduce operator–machine interaction times resulting in greater efficiency and autonomy of the process.