There are higher competition rates in society these days and people are now living a hectic life. Industry growth and manufacturing, as well as massive amount of population which leads to vehicle contribution. According to the yWorld Health Organization, 9 out of 10 people now breathe polluted air and more than 100 million Europeans are affected by noise pollution. Therefore, AID Life project is conducted with the purpose to increase pollution awareness and healthcare awareness for people living in urban cities in an easily understood manner as a mobile application.
LoRaWAN (Low-Power, Wide-Area Network) is used as a private network server since it allow long-range communication of more than 10 kilometres depending on the conditions of the deployment scenario, low-cost with minimal infrastructure, battery lifetime up to 10 years, and easily implementation. One gateway can cover an area of more than 100 square kilometres, which cover the whole city, and the installation and deinstallation of gateways can be done with ease. For the prototype design, three nodes of ending-devices would be implemented, each of the node representing the area approximately 1 square kilometre in circle to receive the longest range and use the space to achieve maximum benefit. Each node will contain three sensors for detecting air quality, sound level, and temperature and humidity and one Arduino.
The sensors will be measuring four parameters: air quality, sound quality, temperature, and relative humidity. PM2.5 will be measured and then compared to the Air Quality Index Values in order to determine the levels of health concern whether the location is polluted or not. Even though PM2.5 would be used to determine air quality, PM10 will also be measured in the project in order to provide more information and apply suitable advice for each situation. As for sound quality, sound level will be measured to define noise pollution. Temperature and relative humidity will also be measured to provide general information to the users.
According to decentralized network architecture, the sensors at each node will be linked with its own microcontroller, Arduino, for data analysis before sending the information to the gateway, which act as a transparent bridge between the end-devices (sensors and microcontroller) and the central network server. The end-devices transmits the information to the gateway in a specific radio frequency range, the RF package is then converted to IP packets since the gateways are connected to the network server via standard IP connections and vice versa. From the central network server, the end-user application will display the information to the users.
AID Life is a mobile application, available for both IOS and android operating systems, which informs users when their current location is polluted and suggest several solutions as well as navigation guidance if needed. Therefore the mobile application is designed for people from all generations to be able to use easily since the aim of creating a mobile application is to allow more people to gain access to the information and use them to create a healthy urban living. Suggestions or advice in the application will vary according to the pollution level, the Arduino will analyze input data and determine the situation and come up with suitable advice. Informing in advance if the frequent locations of the users are polluted is also available in AID Life with machine learning, since the information of the users such as places they usually go are recorded. General information such as temperature and relative humidity are also accessible via the mobile application to meet the diverse needs of users. Navigation guidance allows users to navigate to unpolluted areas such as parks or to hospitals in emergency conditions.
