Resumen

MUNOZ, Yeny Y.; CASTRILLON, Omar D.; CASTILLO, Luis F.  y  LOPEZ, Carlos. Kitchen Scene Environment Analysis via IoT sensors, Designed with a MCU ESP8266 Node Microcontroller and Connected to the ThingSpeak Server. Inf. tecnol. [online]. 2019, vol.30, n.5, pp.173-190. ISSN 0718-0764.  http://dx.doi.org/10.4067/S0718-07642019000500173.

This article presents the design of several sensors used in a kitchen environment, using a MCU ESP8266 node microcontroller as a base, which communicates with the ThingSpeak server. Firstly, each sensor was tested to analyze its functioning, then PCBs were designed using PROTEUS; afterwards, electronic circuit was designed and mounted and finally, communication with the server was implemented via Wi-Fi. This allowed to determine different states of the sensor by 10 seconds intervals and to analyze the kitchen scene setting. It is concluded that the system is 100,0% efficient when magnetic door, current and water flow sensors are used; and displays an 86,2% efficiency with the movement sensor and the analysis via acquired graphics in the ThingSpeak server showed optimal results because the amount and time interval of data acquisition and date of sensors state change, were established accordingly.

Palabras clave : sensors; kitchen; scene; ESP8266; Internet of Things.

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