IoT based Radiation Warning System for Patient

This project is about development of a low cost Electromagnetic waves monitoring system using ideas of Internet of Things (IoT). Two types of electromagnetic waves (Radio and Ultraviolet waves) are monitored using sensors. These sensors collect real time data of these waves and processed it using a

Project Title

IoT based Radiation Warning System for Patient

Project Area of Specialization

Internet of Things

Project Summary

This project is about development of a low cost Electromagnetic waves monitoring system using ideas of Internet of Things (IoT). Two types of electromagnetic waves (Radio and Ultraviolet waves) are monitored using sensors. These sensors collect real time data of these waves and processed it using a machine learning model “Decision Tree” which gives high accuracy. An android mobile application is developed that shows the results of the intensity levels of waves.

                The electromagnetic waves are all around us and are significant part of our environment. These waves are harmful for us. The intensity of the electromagnetic waves exists in normal to dangerous range in our surroundings. There are many Natural and artificial sources of these waves like  mobile phones, communication devices emit radio and microwaves; microwave oven uses microwaves; the sun produces the large amount of energy including infrared waves, UV waves, gamma rays and X-rays; high-altitude places, welding devices, photocopier machines emit UV rays.

            High intensity Radio and Microwaves are harmful for brain cells, skin cells and digestive system; and high exposure of Ultraviolet and Infrared waves causes skin-burn, skin tanning and skin cancer. X-Rays and Gamma rays are more dangerous. Normal and high doses of these waves causes various types of cancer including brain, breast, skin and thyroid cancers.

                Presently, there is no available device or approach that can detect the dangerous levels of waves that are harmful for infants, patients with burns, patients having low immunity and patients having any kind of skin allergy. So, there is need to develop a smart and intelligent monitoring system. Our system is based on IOT concepts using different sensors that can detect intensity levels different waves. The available sensors are Electromagnetic wave sensor and UV sensor. Decision tree is used as Decision Support System.

Project Objectives

Specific objectives of the system are:

• To develop a system that can detect the dangerous levels of Electromagnetic waves because presently, there are no such systems available.
• To develop a low-cost system that can monitor the intensity levels of Electromagnetic waves using sensors.
• To develop an intelligent and smart system that automatically detects and measures high intensity of waves.
• To monitor such environments where these waves are present excessively. Such as industrial areas, near the communication towers, factories, laboratories etc.
• This system specially develops for infants, patients with burns, patients having low immunity and patients having any kind of skin disease.
• To monitor Electromagnetic waves in real time and generate alerts before these waves have any effect on our body or health.
• To provide the facility to the user of generating alerts automatically through a mobile application so he can move away from such place.

(Note: Initially the idea was to detect all the electromagnetic wave as, Radio waves, Microwaves, Infrared waves, Ultraviolet waves, X-Rays and Gamma rays but there are only two sensors that are available in the market for radio waves and Ultraviolet waves)

Project Implementation Method

Dataset: A dataset is the collection of data less expertise to solve the complex problems. It contains real time data related to particular problem and use it to solve the particular problem by identifying specific condition. This dataset helps to provide information about the intensity of UV and Radio waves. This dataset is maintained by collecting data of UV and Radio waves at different intensity levels through sensors. Then, the dataset is divided into the training and testing datasets. The training dataset is used to train the model and the testing dataset is used for testing the accuracy of trained model for the purpose of Validation of the results generated by the model.

The trained Model: The trained model contains all the characteristics, which are validated while constructing the model with training dataset. The trained model (Knowledge Base) performs like a brain during testing with high accuracy and efficiency. While compiling and executing data, some of facts and rules will not modify themselves. There are some facts that relate to the entire system’s specific consultation. These facts extend themselves to generate different decisions in the operational phase along with static knowledge.  Overall the trained model is trained with related knowledge which is very helpful in understanding and solving the problems.

Inference Engine: It is the most important component of decision support system. It involves a process for providing reasoning about the information available for trained model and formulating the results using control strategy. Inference means testing the new data or knowledge through the trained model. This process involves similar order sets to provide formal unification and reasoning. This function is similar to human specialists that are used in different knowledge domains to solve problems.  Inference works by applying rules. Its control mechanism arranges the rules that are need to be implemented. In the systems, there are two types of control mechanism, these are forward chaining and backward chaining.

User Interface:  This system contains a language processor for any problem further; it is condition-specific or user friendly interface. The user interface is a communication channel in natural language. The user is the important part of this Decision Support System that uses the system and gets benefit from it. User interface is the component of the system through the user may interact with it. All of these parts of the system perform their functions to provide decisions to the user. These decisions are made by the system and efficiency of the decisions is determined by the cohesiveness of all the parts of the system.

Benefits of the Project

• This system will provide accurate and real time results of different parameters using sensors.
• When the system will enter in a place where electromagnetic waves are present having harmful range this system will immediately generates the alerts to the user.
• The results will be shown in different formats and in different graphs.
• The system will not cover the harmful ranges of all Electromagnetic waves. It will give the response for Radio and Ultraviolet waves.
• The system will give the response for the almost all ranges of Ultraviolet waves because the response wavelength of the used Ultraviolet Detection sensor is 200nm to 370nm whereas the range of Ultraviolet waves is 200nm to 400nm.
• The system will give the response for the very small ranges of Radio waves because the response wavelength of the used Electromagnetic wave Detection sensor for radio waves is 50Hz to 100MHz whereas the range of Radio waves is 30Hz to 300GHz.

Technical Details of Final Deliverable

The electromagnetic waves are all around us and are significant part of our environment. These waves are harmful for us. The intensity of the electromagnetic waves exists in normal to dangerous range in our surroundings. There are many Natural and artificial sources of these waves like  mobile phones, communication devices emit radio and microwaves; microwave oven uses microwaves; the sun produces the large amount of energy including infrared waves, UV waves, gamma rays and X-rays; high-altitude places, welding devices, photocopier machines emit UV rays.

            High intensity Radio and Microwaves are harmful for brain cells, skin cells and digestive system; and high exposure of Ultraviolet and Infrared waves causes skin-burn, skin tanning and skin cancer. X-Rays and Gamma rays are more dangerous. Normal and high doses of these waves causes various types of cancer including brain, breast, skin and thyroid cancers.

                Presently, there is no available device or approach that can detect the dangerous levels of waves that are harmful for infants, patients with burns, patients having low immunity and patients having any kind of skin allergy. So, there is need to develop a smart and intelligent monitoring system. Our system is based on IOT concepts using different sensors that can detect intensity levels different waves. The available sensors are Electromagnetic wave sensor and UV sensor. Decision tree is used as Decision Support System

“Internet of things” (IoT) is a new technology in the area of networking where a number of computing devices and things are connected with each other and share their data using communication technologies and it is one of the most important fields of future technology. IoT and sensor based applications made our life easier. IoT has become the solution of today’s problem.

There is no work done specifically for the detection of electromagnetic waves. There are many popular monitoring applications of IoT that are working well and provide satisfying results such as Heath monitoring, environmental monitoring, smart city, smart homes etc.

As an Integrated Environmental Monitoring Device developed by (Wong, Yip, and Mok 2014), which connected temperature, ultraviolet (UV), PM2.5, humidity and sound sensors to collect data for an Android based mobile phone application  using a web based database, with the data of location obtained from GPS system of mobile phone. This system presented the evaluated real time data with visualization of data through the mobile phone application and one volunteer tested it in Hong Kong for a brief period of time. The results revealed that the system could respond to evolving environments, such as indoor and outdoor areas.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

IT

Other Industries

Energy , Manufacturing , Security

Core Technology

Internet of Things (IoT)

Other Technologies

Artificial Intelligence(AI), Others

Sustainable Development Goals

Quality Education, Responsible Consumption and Production

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com