Design and Development IoT-Based Measurement System for Inside Room Ambient Parameters

Abstract

In recent years, there are lots of emphasis on the home automation, especially in the urban area. Most common application of Internet of Things (IoT) is smart home automation, where several home appliances and devices (like air conditioners, lights, fans, thermostats, etc.) are controlled remotely using smart phones and smart speakers. The home automation provides safety, comfort, optimization of lighting and heating as well as overall energy management. IoT is a garnered a wide popularity across all engineering and science fields. It represents a network of physical objects, some processing capability, and other technologies to exchange data across other devices through Internet or other wireless communication network. The technology has evolved a lot due to inclusion of multiple technologies, advancements in embedded systems and physical sensors, and developments in machine learning algorithms and artificial intelligence, owing to its use in smart automation technologies. Smart home automation and Precision Agriculture are two emerging fields where the concepts of IoT have been actively used to efficiently automate the process and control them remotely. In both of the applications, sensors are used to measure and monitor the ambient atmospheric conditions like temperature, relative humidity, barometric pressure, light intensity, etc. for decision-making. This study proposes a measuring system for ambient atmospheric conditions like temperature, humidity, pressure, and light intensity with the use of Arduino and IoT for real-time data collection. In this paper, the complete system for in-house monitoring system has been developed and detailed process as well as system procedures presented. The system also includes Arduino devises, temperature and humidity sensors, and chips for wireless communication employed. The sensors will be installed, and real-time data will be accessed remotely for the test room and its environment. The data will be sent to ThingSpeak API platform for real-time presentation by using ESP8266 Wi-Fi module.