Papers by Keyword: Smart Monitoring System

Abstract: Energy harvesting monitoring systems have become more important as the Internet of Things (IoT) have grown. An intelligent system to monitor rainwater harvesting at UNITEN COE BN is being designed and developed in this study. Rainwater harvesting operations will be improved by developing an intelligent system. Monitoring techniques are studied, and sensors are designed for simulation. Smart rainwater harvesting systems are designed and implemented in this study, contributing to the field of smart monitoring systems. Rainwater collection, storage and usage are monitored and analyzed with smart sensors and data acquisition systems. Water turbine speed, voltage, and rainfall intensity are monitored by sensors in the developed system. Data from sensors is processed in Python GUIs. Visual displays allow users to monitor the rainwater harvesting system remotely. Durability and infrastructure compatibility are considered when selecting materials. It is found that smart rainwater harvesting system performance and reliability can be improved through simulation testing and validation. The study concluded that, storm water resources can be optimized by accessing real-time information.

Abstract: The first long-term bridge monitoring system in Korea was installed in 1995, and many bridges have been maintained by long-term monitoring systems. Recently, reliability of data and cost effectiveness have been increased by advanced sensor technology (fiber optic sensor, RFID, USN etc) and measuring equipment. In Korea, the large-scale project for the safety network integration for long-term smart monitoring systems for bridge structures started in 2007, and this is the second year of the project. In this system, various innovative sensor types are considered. To increase the effectiveness of this network system, an analysis of the problems with the conventional long-term bridge monitoring system and solution investigations are needed. The biggest problems are low durability and data reliability because of noise, and the lack of data applications techniques. Therefore, in this paper, a brief summary of the projects is presented and the state of bridge monitoring systems in Korea is investigated, and various problems and solutions for these problems are briefly suggested.