Estudio automatizado de condiciones ambientales de un puesto de trabajo mediante un traje de monitoreo
The large number of cases of occupational diseases reflects the need to create alternative proposals for carrying out risk assessments automatically. This technological project is a prototype based on the IoT architecture that allows real-time monitoring of the environmental conditions of a workplac...
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| Formato: | bachelorThesis |
| Idioma: | spa |
| Publicado: |
2022
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| Acceso en liña: | http://repositorio.utc.edu.ec/handle/27000/9584 |
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Engadir etiqueta | Summary: | The large number of cases of occupational diseases reflects the need to create alternative proposals for carrying out risk assessments automatically. This technological project is a prototype based on the IoT architecture that allows real-time monitoring of the environmental conditions of a workplace through technologies such as MQTT, Node-Red and Ubidots. To carry out the development of the project, an exploratory investigation has been carried out to choose the type of appropriate sensors and microcontrollers. With the sufficient theoretical base, the final form of the technological proposal was designed based on the IoT layers, then it was put into operation to certify the validation of the measurements. Through dashboards in a local network and another in a global network through an IoT platform (Ubidots) the behavior of environmental variables can be observed from anywhere in the world and in real time. As a result, an easy to handle and very versatile prototype was obtained for adaptation in different jobs at the time of its execution. The validation of the operation of the proposal was obtained after carrying out a proof of concept in the company Insomet from where the necessary data of the conditions of the work environment were obtained for their respective analysis, comparing them with referential values of regulations, finally, a Final report automatically using an Excel template created by the authors of the project. In conclusion, the acquisition of temperature, humidity, noise and lighting data automatically in a workplace through the monitoring prototype has been verified. On the other hand, with the realization of the case study in a work area, the correct functioning was validated. Finally, the necessary preventive measures have been proposed based on the existing dangers and risks. |
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