IOT based indoor air quality monitoring system
The health effects of air pollution are influenced by exposure, which is a function of the concentration of pollutants and the period a person was in contact with the pollutant for. People are exposed to air pollutants in various micro-environments, especially during commuting at homes, schools, and
2025-06-28 16:28:06 - Adil Khan
IOT based indoor air quality monitoring system
Project Area of Specialization Internet of ThingsProject SummaryThe health effects of air pollution are influenced by exposure, which is a function of the concentration of pollutants and the period a person was in contact with the pollutant for. People are exposed to air pollutants in various micro-environments, especially during commuting at homes, schools, and on roads. The quantification and characterization of air quality in these conditions is therefore critical for determining human exposure and health risks. Indoor air pollution is more dangerous for residents. So, Indoor air quality should be monitored and takes some preventive steps to reduce the possible dangers to the health of the inhabitants. The cost and maintenance factors of air quality systems lead the researchers to model, design and deploy indoor air quality control systems at low cost. In this research, the researcher proposed a monitoring system to give a clearer and more detailed view of indoor air quality that will be beneficial in many low-cost applications. Also, such a system is in reach of all individual irrespective of economical class. This system is an extension for all available IAQ monitoring system, which are working on the principle of place-to-place detection i.e. without using the wireless network to monitor gas detection. The Internet of Things (IoT) is being used to connect and process data and low-cost sensors are used to gather environmental data. The IQA (Indoor Air Quality) system consists of five inputs temperature, humidity, Carbon Di Oxide, Carbon Mono Oxide and LPG. The data is collected through five different sensors and NN decision-making model is used to predict the air quality to prevent harmful situations. The proposed system is found effective and useful in terms of ease of use, cost and maintenance of the system. Also, this system provides some additional features like continuous data monitoring, gas detection in hazardous areas, monitoring at different parts of the building.
Project ObjectivesIndoor air quality monitoring system simultaneously measures the concentration of different gases in the air at different locations. In this thesis, the researcher extended the monitoring system for indoor air quality by measuring the concentration of different gasses that are found simultaneously in households at different locations. Researchers used the Arduino Uno board as a basic system hardware platform to build a low-cost Indoor Air Quality Monitoring System using low-cost sensors. The framework uses the IoT and neural network capabilities to apply the proposed approach in a real-time early warning.
This study aims to propose a model and method to address the problem of monitoring parameters of indoor air quality to effectively achieve the goal of predicting and using an IoT for efficient monitoring of real-time data and using multiple sensors to increase monitoring accuracy.
Project Implementation MethodThe developed system is used in a household to monitor IAQ where various hazardous factors silently impact human health and can also cause death. So there needs to be a system that will alert the people in the house about the bad air quality. Various factors, including humidity, temperature, carbon monoxide, carbon dioxide or liquefied oil gas, lead to poor air quality. So the researcher used sensors to sense the required information using the platform IoT. A dataset that was created for the proposed system was given to the neural network as a training dataset. Then the sensed data processed based on the training dataset and represents the result of air quality according to the set parameters.
The Internet is a digital fabric waving into everyone’s lives in one way or another. The Internet is just not connecting people, connecting things too, so it’s commonly referred to as the Internet- of- Things. Things are connected to other things with the adaptability to sense and communicate; it’s more like human beings’ interaction with other humans using basic empirical senses. IoT provides a common language for devices to communicate with each other.
Sensors and actuators are the backbones of IoT. Sensors collect information like temperature or humidity. A Sensor maintains the record of the measured physical surrounding. Results are later changed into an electrical signal and forwarded to the cloud for additional processing. The sensitivity of a sensor determines how much the output value of the sensor changes as the input value changes. An actuator, used in almost all types of machines. An actuator is a device that generates motion by converting energy and signals going into the system.
A sensor gathers information and passes it to a control focus where it decides and corresponds command, sending it back to an actuator in response which sensed input. Sensors and actuators allow devices like robots and drones to experience an environment and make decisions. Several sensors are accessible that offer applications like smoke, fire, and gas sensors to distinguish unsafe gases and cancer-causing agents. Gartner predicts there will be over 50 billion IoT sensors in use and by 2030 there will be 200 billion networked devices.
Benefits of the ProjectIn closed spaces, the advanced sensor devices get installed in the desired areas, which work automatically. They instantly detect the presence of particulate matter or air pollutants in the air and trigger notifications on smartphones at once.
IoT is the technology of the future that is impacting industrial growth in the most significant way possible. Whether fleet industry, supply chain, chemical, oil, and gas, or any other, every industry is availing huge benefits by integrating advanced features of the Internet of Things and simplifying their overall processing.
IoT-based solutions, when added with the environmental assets provide improved ambiance through real-time monitoring of the surroundings. This being one of the key benefits of integrating IoT with the environment ensures a better approach towards improving the environmental conditions.
IoT is a sensor-based technology, which upon installing the advanced sensor devices at appropriate places benefits the residents in numerous ways. These benefits include:
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Effective Air Monitoring
In closed spaces, the advanced sensor devices get installed in the desired areas, which work automatically. They instantly detect the presence of particulate matter or air pollutants in the air and trigger notifications on smartphones at once. This enables the authorities to analyze the situation and act accordingly. Instant notifications allow the managers to monitor the air quality and effectively handle the situation. The notifications are sent through SMSs alerts or push messages on their smart devices so that they don't miss out on anything and keep the surroundings fresh enough for people to survive.
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Toxic Gas Detection
The IoT-powered air quality monitoring system is well-equipped with advanced sensor devices and gateway connectivity that is functioned to detect the presence of toxic gases within the premises. The solution is interlinked with the smart device of the user and allows him to take immediate actions in case of disasters. Thus, an IoT-powered system is an essential add-on in the industry to reduce the chances of gas explosions, fire hazards, and other naturally occurring calamities. The industry managers have complete control over the IoT-solution and can take appropriate actions as soon as they receive emergency triggers on their devices, thus reducing the maintenance and operational costs of the industry.
- IoT technology is an effective concept that contributes to measuring the temperature and humidity ratio within any industrial premises. It helps the authorities in maintaining a proper ambiance required for the workers to work under certain environmental conditions by keeping real-time control on the IoT-powered solution.
An indoor air quality monitoring and prediction system were presented in this research by using IoT, sensors and Neural Network Model. There were five different measurements (temperature, humidity, CO2, CO, and LPG) that were collected through four sensors. The Arduino microprocessor is used to collect the information from sensors. Then the collected information is used to train a neural network model to predict the air quality for an indoor home or workplace environment. There were four classifications model the indoor environment for temperature, humidity, carbon monoxide, carbon dioxide and LPG to help the NN model to properly predict the situation. The system was designed and implemented with low-cost sensors and equipment. The design was flexible to add more sensor nodes to expand the solution. The system performs equally reasonable for room, workplace, and kitchen and predicts the hazardous situations to users. The proposed system is useful for inhabitants of closed-door environments. Extending for infant care, indoor pet health monitoring, indoor plant care management system, patient care and management system will be the future work for this research. The system is also extendable to kitchen gasses leakage control and monitoring system and develop an android app so that user can be alerted by phone. System is also extendable for the connectivity with the house HAVC system
Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther Industries Others , Health Core Technology Internet of Things (IoT)Other Technologies Artificial Intelligence(AI)Sustainable Development Goals Decent Work and Economic Growth, Responsible Consumption and ProductionRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 72602 | |||
| arduino uno | Equipment | 3 | 2000 | 6000 |
| temperature and humidity sensor | Equipment | 3 | 2000 | 6000 |
| carbon monoxide sensor | Equipment | 3 | 2000 | 6000 |
| carbon dioxide gas sensor | Equipment | 3 | 10000 | 30000 |
| liquified petroleumsensor | Equipment | 4 | 150 | 600 |
| arduino IDE cloud service | Equipment | 1 | 15000 | 15000 |
| documentation | Miscellaneous | 1 | 5000 | 5000 |
| stationary | Miscellaneous | 1 | 4002 | 4002 |