Abstract
Environmental monitoring refers to the tools and techniques designed to observe an environment, characterize its quality, and establish environmental parameters, to accurately quantify the impact an activity has on an environment. A warmer climate may result in lower thermal efficiency and reduced load-including shutdowns in thermal power plants. It is found in research that a rise in temperature of 1°C reduces the supply of nuclear power by about 0.5% through its effect on thermal efficiency. A drastic change in air pressure also indicates there could be a significant climate change. In the event of a radiological release accident, environmental data is required to reduce radiation exposure to humans. That’s why environmental monitoring is very important for a nuclear power plant. Environmental monitoring can be done by an IoT-based system. Anyone using an IoT-based system can get environmental data like temperature, pressure, humidity, etc. Here the projected system delivers sensor data which are got from the environment to an API called ThingSpeak over an HTTP protocol and allows the storing of data. The proposed system works well and it shows reliability. The prototype has been used to monitor and analyze real-time data using graphical information of the environment.
Methodology
NodeMCU (ESP-8266)
V+ve → Connected to positive (+ve) rail on the breadboard.
GND → Connected to negative (-ve) rail on the breadboard.
DHT 11 Sensor
Vcc → Connected to positive (+ve) rail on the breadboard.
GND → Connected to negative (-ve) rail on the breadboard.
Data Output → Connected to D3 pin on NodeMCU.
BMP 180 Sensor
Vcc → Connected to positive (+ve) rail on the breadboard.
GND → Connected to negative (-ve) rail on the breadboard.
SCL → Connected to D1 pin on NodeMCU.
SDA → Connected to D2 pin on NodeMCU.
Raindrops Detection Sensor
Vcc → Connected to positive (+ve) rail on the breadboard.
GND → Connected to negative (-ve) rail on the breadboard.
AO → Connected to AO pin on NodeMCU.
Results
Temperature, humidity, and pressure were obtained from the ThingSpeak as 28 °C, 51%, and 83 kPa, respectively. However, the temperature measured by the thermometer was 27 °C, while the pressure and humidity measured online were 52% and 99 kPa, respectively.
Temperature, humidity, and pressure were obtained from the ThingSpeak as 28 °C, 51%, and 83 kPa, respectively. However, the temperature measured by the thermometer was 27 °C, while the pressure and humidity measured online were 52% and 99 kPa, respectively.
Conclusion
This proposed system can provide a handy solution for real-time temperature, humidity, pressure, and raindrops monitoring from remote distance. When compared to the prices of devices used to measure environmental parameters, this system is small and cost-effective. In this project a program was created to transmit data and the recipient was supposed to view the data. ThingSpeak serves as an intermediary platform, simplifying both processes. The recorded data is wirelessly transmitted to the cloud, where both real-time data and graphical analyses can be accessed. This paper demonstrates a proof-of-concept IoT system for monitoring environmental parameters such as air temperature, humidity, pressure, and raindrop detection using readily available hardware. Additionally, this setup can be customized with various sensors or actuators for specific industrial applications.
This proposed system can provide a handy solution for real-time temperature, humidity, pressure, and raindrops monitoring from remote distance. When compared to the prices of devices used to measure environmental parameters, this system is small and cost-effective. In this project a program was created to transmit data and the recipient was supposed to view the data. ThingSpeak serves as an intermediary platform, simplifying both processes. The recorded data is wirelessly transmitted to the cloud, where both real-time data and graphical analyses can be accessed. This paper demonstrates a proof-of-concept IoT system for monitoring environmental parameters such as air temperature, humidity, pressure, and raindrop detection using readily available hardware. Additionally, this setup can be customized with various sensors or actuators for specific industrial applications.