Development of remote sensing data collection and management platform via internet

Abstract

Recently, the technology of the Internet of Things (IoT) has been widely used in many disciplines such as remote sensing and control via the Internet in various industries. However, it is still difficult to find solutions directly from an appropriate textbook for learners. For this reason, this paper aims to provide a platform for remote sensing data collection from different locations. The proposed system presents a case study to collect and monitor sensed data, e.g., temperature and humidity, with Wi-Fi modules. The human interface using Visual C# is designed to control the Wi-Fi module that can transmit data up to a distance of 200 m. The collected data can be transmitted to the server via the Message Queueing Telemetry Transport (MQTT) protocol. Once the data is received, it is then uploaded to the MySQL database. Therefore, the historical data from the cloud can be viewed and monitored on line by the PHP dynamic data management system. Experimental results verify that the proposed platform is feasible for practical applications in terms of robust, stable, and fast responses.