HVS-1419. Online Monitoring of Geological CO2 Storage and Leakage Based on Wireless Sensor Networks

hvsadmin — Sat, 22 Nov 2025 08:20:39 +0000

The project “Online Monitoring of Geological CO₂ Storage and Leakage Based on Wireless Sensor Networks” aims to develop an intelligent and reliable system for real-time detection and monitoring of CO₂ concentration in geological storage sites. The system utilizes a CO₂ sensor interfaced with a NodeMCU (ESP8266) microcontroller to continuously sense and record carbon dioxide levels. The data is displayed locally on an LCD module and simultaneously transmitted via Wi-Fi to an online web server for remote monitoring and analysis. A regulated power supply ensures stable operation of all components. This wireless monitoring approach enables early detection of CO₂ leakage, ensuring environmental safety and efficient management of underground carbon storage facilities. The proposed system reduces the need for manual inspection, enhances data accessibility, and contributes to sustainable carbon capture and storage (CCS) practices.

Objectives:

 To monitor CO₂ levels in geological storage sites in real-time.

 To design a low-cost and energy-efficient monitoring system using IoT technology.

 To provide early detection of potential CO₂ leakage.

 To ensure environmental and human safety by preventing hazardous exposure.

 To enable remote data access and analysis via a web-based interface.

 To minimize manual inspection and enhance automation in CO₂ monitoring.

Keywords:

NodeMCU Microcontroller.
Co₂sensor.
LCD display.
Power supply.

Software’s used:

Arduino IDE for compiling and dumping code into Microcontroller
Express SCH for Circuit design.
WEB technology.

Regulated Power Supply:

Block diagram:

video:

HVS-3625. IoT Indoor Air Quality Monitoring and Mitigation System

hvsadmin — Mon, 08 Sep 2025 06:39:18 +0000

Indoor Air Quality Monitoring or Testing (IAQ) is an essential process to determine the level of contaminants present in indoor air which can affect productivity & well-being of occupants. Good and healthy Air Quality at the workplace can increase worker’s comfort, productivity and well-being.Cohesion’s Indoor Air Quality Program allows building owners and operators to deliver a healthy building to occupants by monitoring pollutants and optimizing to remove the pollutants in real time.

In this project we are going to make an Air Pollution Monitoring and optimization system in which we control the appropriate device based on sensor data and which we monitor the Air Quality parameters on LCD display.The project makes a use of Arduino microcontroller and to measure the air quality using sensors such as dht11(temperature and humidity) sensor,pm2.5 dust particle sensor, co2 sensor.

The main controlling device of the project is Arduino UNO microcontroller. Dht11 sensor,pm2.5 sensor, co2 sensor, mist maker, fan, exhaust fan, heater, air ionizer, air inlet and LCD display is interfaced to the Arduino. Arduino continuously read the data from sensors and will be display on LCD module. Based on the sensor data Arduino will control the specific device through driver circuits to maintain the airthe air quality, especially as it relates to the health and comfort of building occupants. To achieve this task microcontroller loaded program written in embedded C language.

The features of the project are:

Continuous Air pollution monitoring.
Monitoring sensor data on LCD display.
Temperature based automatic fan and heater control.
5 based automatic control of air ionizer to remove small particles in the air.
Humidity based automatic mist maker and air inlet control.
Co2 based automatic exhaust fan speed control.
To achieve this task using Arduino UNO microcontroller.

The main blocks of this project are:

Power Supply.
Arduino UNO.
Co2 sensor.
5 sensor.
DHT11 Sensor.
LCD display.
Exhaust fan.
Mist and air inlet.
Air ionizer.
Heater.
Fan.
Relays.
Driver circuits.

Software’s used:

Arduino IDE Studio Compiler for Embedded C programming.
Express SCH for Circuit design.

Block diagram of the project:

video:

Co2 sensor – HVS Technologies

HVS-1419. Online Monitoring of Geological CO2 Storage and Leakage Based on Wireless Sensor Networks

HVS-3625. IoT Indoor Air Quality Monitoring and Mitigation System