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amc2022:grouph:start

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amc2022:grouph:start [2022/09/10 21:36] – gustavo001amc2022:grouph:start [2023/01/05 14:38] (current) – external edit 127.0.0.1
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-Using a low cost Arduino Kit and integrating the ESP32 micro controller, we were able to accomplish three tasks. The first was to measure different Air Quality parameters such as temperature, humidity and particulate matter. By using the Mq2 sensor, we were able to measure the ppm of the following gasses: H2, CH4, CO, Alcohol, Propane, LPG and smoke. However depending on the source or literature it is possible to find multiple threshold limits of inhalation that produce adverse health effects on humans. Therefore we could further expand the project to have both a more sensitive sensor and a predefined threshold limit that will warn the user of the device of any potential health hazards. As of right now the user is only able to monitor the amount of particulate matter within the scope of the sensor. +Using a low cost Arduino Kit and integrating the ESP32 micro controller, we were able to accomplish three tasks. The first was to measure different Air Quality parameters such as temperature, humidity and particulate matter. By using the MQ2 sensor, we were able to measure the ppm of the following gasses: H2, CH4, CO, Alcohol, Propane, LPG and smoke. However depending on the source or literature it is possible to find multiple threshold limits of inhalation that produce adverse health effects on humans. Therefore we could further expand the project to have both a more sensitive sensor and a predefined threshold limit that will warn the user of the device of any potential health hazards. As of right now the user is only able to monitor the amount of particulate matter within the scope of the sensor. 
 Secondly we were able to transmit data using a publish-subscribe broker. By using MQTT we were able to create topics that contained the data received by the Arduino sensors, later with the help of the Node Red software, we created a flow chart in which the data input from the topic and utilizing the JSON format, was sent to Grafana where the data was ultimately transformed visually for easy interpretation. We decided to keep one topic containing all the data, because the idea is to have multiple Air Quality devices running simultaneously but each having its own independent topic. That would help us identify easier any issues with any of the devices.  Secondly we were able to transmit data using a publish-subscribe broker. By using MQTT we were able to create topics that contained the data received by the Arduino sensors, later with the help of the Node Red software, we created a flow chart in which the data input from the topic and utilizing the JSON format, was sent to Grafana where the data was ultimately transformed visually for easy interpretation. We decided to keep one topic containing all the data, because the idea is to have multiple Air Quality devices running simultaneously but each having its own independent topic. That would help us identify easier any issues with any of the devices. 
 Lastly we successfully operated the device using a 9V battery and integrated the following components and features for improved performance:  Lastly we successfully operated the device using a 9V battery and integrated the following components and features for improved performance: 
amc2022/grouph/start.1662838578.txt.gz · Last modified: 2023/01/05 14:38 (external edit)