Intelligent monitoring system for environmental conditions in Industry 4.0
DOI:
https://doi.org/10.46842/ipn.cien.v25n2a07Keywords:
Industry 4.0, internet of things, intelligent control, decision treeAbstract
The technological revolution that implies the implementation of Industry 4.0 forces the use of technology to monitor the conditions in which production takes place. This has repercussions on the products obtained, but above all on the health of the personnel working in the industries. Which has as its main benefit the reduction of work accidents and diseases caused by unfavorable environmental conditions. One of the most dangerous gases in the industrial sector is Carbon Monoxide, whose effect on the human body is to poison the systems. This is how a system is presented that allows monitoring four environmental variables (relative humidity, Carbon monoxide, Thermal radiation, luminosity) which are important variables in industrial environments where motors are used. The system operates intelligently through an artificial intelligence tool that allows classifying (making decisions) called the decision tree. Using WEKA, three algorithms were tested for the construction of the decision tree: J.48, Random Forest, and Random Tree. The experiment showed that the algorithm J.48 obtained an average 99.86% of correctness in the classification of all the reviews. The Random Forest algorithm obtained 99.31% of the correct classification. While Radom Tree had a 95.07% correct rating. This system allows modifying the status of a ventilation, cooling, variable traffic light and emergency lamp system. In addition, the system sends the data collected through the Internet of Things (IoT) to a client who can consult the information in real time.
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