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Human and animal safety are the top priority of the 21st century, specially when it come to natural disasters. Even the today's technology we can not stop those disasters such as flood water, mud slide, landslide, wild fire, earthquake and avalanche. But if we can get to know before it happens we can minimize the damage. So I am going to build a system to warn the people of any natural disaster before it happens. The solution will warn not only one disaster, it will be able to notify as many as disaster with the RSL10-SENSE-DB-GEVK because it has multiple sensors built-in.
Get the things ready...In this project I am going to use my Samsung A50 as IoT gateway. First download the RSL10 Sense and Control app via Google Play. Then create a CloudMQTT account and setup RSL10 Sense and Control app to enable broadcast via CloudMQTT.
The process is RSL10 communicate with RSL10 Sense & Control via BLE, then RSL10 Sense & Control communicate with CloudMQTT through the Internet. CloudMQTT is based on PUB-SUB. Finally the web application use web socket to connect to the CloudMQTT and subscribe to all the event (#). That is how the web application gets all the sensor data. In this project I am focusing on temperature (for detecting wildfire) and accelerometer(for detecting landslide).
Below are the cloudMQTT server details that need to be setup a broker in RSL10 app.
You can find the web application on my Github. The control panel web application is used to monitor sensor values.
The application shows current temperature with min and max readings. If the temperature goes beyond some threshold value (for example 50C) it will show warning and indicate wildfire alert. User can use reset button to reset the warning alert and temperature min and max values.
Other disaster detection is landslide, I am using Accelero-meter and Gyroscope for that purpose. The sensor pass the accelero-meter and gyroscope values to control panel if the control panel sees the sudden spikes on the values the control panel displays warning sign. Check out my video to see the system in action.
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