Design and validation of an IoT platform with adaptive data logging for remote real time monitoring of rapid changing variables in indoors and outdoors environments

Abstract

This thesis addresses the impact of Internet of Things (IoT) development as well as its growing importance in the industry of big economies like China and shows the development of an IoT platform for real-time data acquisition and display on a web page. From the beginning of this decade, the Chinese government has been focusing on the development of new technologies like IoT devices and services by investing in fast-growing cities through the implementation of the so-called "Science Cities". A research carried out in China, that had as scope the use of IoT technologies, resulting in the knowledge that there is a need of the development of IoT devices to fulfill the industry requirements, thus a prototype for remote data monitoring using a microcontroller capable to connect to Wi-Fi networks is proposed. The system prototype that was developed is based on a client-server architecture following a Device-To- Gateway communication model using on-the-shelf components for the measurement of humidity and temperature as well as acquiring Global Position System (GPS) information. For this system, a web page interface was designed to display the collected readings. The maintenance, accuracy, and consistency of data, referring to the data integrity, was obtained in every test performed using the system prototype. This prototype was tested in static indoor environments, where the devices did not change their location during the test, and dynamic outdoor environments, where the devices were shifting locations during the test. The obtaining _findings of the prototype performance show 94.76% of data integrity on the indoor static test and 76.76% using the web page in the same conditions. On the other hand, the outdoor dynamic test achieved a maximum of 44.66% of data integrity, which dropped to 17.24% by using the web page. It is observed how the use of the web page results in a decrease of the data integrity mostly because of the network compatibility between the Wi-Fi device and frequency bands that the network vendor uses to connect to the internet. A test performed using an adaptive method, where the temperature was constantly being modified, resulted in an increase in the efficiency of how the data is saved in the storage device achieving a data reduction of 74% and a final Comma-Separated Values (CSV) _le size decrease of 75%. The data acquired is then used for further processing by calculating the position based on the GPS latitude and longitude, the velocity using an approach with backward differences and acceleration using an approach with centered differences. The experimental results show that the IoT system prototype can be used for the measurements of environmental variables on indoor and outdoor applications.