In this project, a wireless sensor-based networking system is proposed to address the water pumping system to crop. The first problem is to automate the process of pumping the water to crops in a garden. Atmospheric Pressure, Temperature and humidity sensor are used to monitor the temperature to initiate the water pumping system, while soil moisture sensors are used for sensing the water level and initiating the process of pumping the water to the crops in the garden. The rain sensor is used to check the rain, if rain is coming it is going to stop all the motors. The data collection is applied to collect and store the information in the server for further processing. Proposed systems are deployed and demonstrated using open-source hardware such as microcontrollers.
A rescue analysis system is an IoT based monitoring system which collects data via sensors and stores the readings in an online IoT cloud database. These sensors are mounted upon a microcontroller called Arduino UNO which serves as a common platform for all the sensors to work. This rescue analysis system constitutes of various sensors namely DHT11 temperature sensors, BMP180 pressure and altitude sensor, MQ2 gas sensors, ESP8266 Wi-Fi module and a buzzer for the gas sensor. The data collected by these sensors record the subsequent environmental conditions and transmit the data from the Arduino UNO to the ThingSpeakIoT cloud. ThingSpeak is an IoT analytics platform that helps the rescue team aggregate, visualize and analyze the live data streams in the cloud. The data collected by these sensors will be sent to ThingSpeak and those readings will be reported back in the form of graphs. The recorded data assists the rescue team to eventually come up with an action plan.
Gas leakages are a severe problem in residences and other areas where residential gas is utilized. The consumer has no idea of how much gas is being used and how much time left when he or she needs to book a new LPG cylinder. As a result, in this project, we offer an Internet of Things (IoT)-based system that analyses several characteristics of an LPG cylinder and, as a result, keeps the consumer informed via a mobile application. When the gas level is falls below the threshold, an alert message will receive to the user via the buzzer and via the mobile app, and when the LPG level is extremely low, the amount of gas in the cylinder is found using a sensor called a load cell and the rate of gas remaining in the cylinder is updated to the app that is being used by the user (below 20 percent). We prevent prebooking and late booking by automating the booking of new LPG. When a gas leak is detected, the user is notified via a mobile application and a buzzer. Using GPS, the precise location of the fire accidents will be communicated.
