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Photovoltaic (PV) systems are extensive as an alternative energy resource in the public and private sectors. Despite having an electric supply from the conventional fossil fuel generator, PV systems provide more economical solutions. However, the implementation of PV systems without maintenances contributes to energy wastage and increases the cost compared to on-grid supply. Improper maintenances with an aged system will minimize the performance, decrease the lifetime and possibility of defect of the system. An intelligent monitoring system is the best solution to keep track of a photovoltaic system's performance to ensure the system to maintain at optimum condition. The aim of this project is to study the factors that affect the photovoltaic's energy harvesting and develop a PV performance monitoring system with the implementation of Internet of Things (IoT). The proposed PV energy performance monitoring system allowed users to wirelessly monitor the PV performance parameter by using Blynk application through the smartphone. A prototype was design and built with ESP32 development board, DHT22, Current sensor and Voltage sensor which then applied to the actual PV system consisting of a 20W PV panel,12V battery, charge controller and LED lamp as the load. The collected data was plotted in graphs for a better analysis. The data collected shows that the efficiency of the PV panel can be affected by shading and temperature. In day 3, the strong emitted sun from morning gave the average voltage and current of 13.1V and 0.33A compared to day 1, which was cloudy all day, giving the average voltage and current of 12.8V and 0.17A, respectively. The efficiency of PV panel depends on the value of voltage and current since both values was affected by the temperature and shading from cloud. The proposed PV monitoring system is developed based on the implementation of IoT technology, where it can contribute to sustainable development for better energy saving compared to conventional PV systems that installed in the market [ABSTRACT FROM AUTHOR]

Solar photovoltaic (PV) systems are the most widely renewable technologies used to generate power. In this paper, smart monitoring and fault detection on the off-grid solar system is proposed and designed to improve the solar PV system's operation more effectively. Environmental conditions, equipment interference, and changes in existing parameters normally cause problems in the system. A real-time monitoring system is required to monitor the performance of the solar PV system circuit. The internet of things (IoT) is used in this project to directly observe the energy in the system via an application platform. Also, this paper discussed solar PV system faults detection based on the difference in voltage and current values measured during usual and unusual periods based on parameters value. This project will reduce the time and effect in searching for faults in the solar system. The results show several categories, including open circuits and short circuits, are classified as faults in this system. In general, the fault detection system and smart power utilization using IoT monitoring for the photovoltaic system is the focus of this project's development. [ABSTRACT FROM AUTHOR]

Road accidents rate are now very high, especially for two-wheeled vehicle. It is necessary to have a sort of road accident detection and information system to rescue the injured victims. This research aims to create a prototype of an ABCDs that is implemented at a bicycle. The main target is to minimize the accident's response time whenever accident occurs. The accident detection uses the ESP8266 Node MCU, smartphones, GSM and GPS technology, AXL 335 accelerometer and Blynk for mobile applications. The input is an accelerometer that detects the shock and Node MCU will send the location via Email or mobile phone. The GPS receiver module detects geographical coordinates of the area and signal message will be sent through GSM. To validate the prototype, three separated tests were conducted andthe test was performed for various type of open area, closed area, with different fixed value test as well. Testing data shows that the prototype successfully detected crash or accident and notification was successfully delivered through Blynk. Inevitably, this project help in providing assistance for the accident victims in emergency situations within short period of time. Indeed, with a proper setup and adjustment, this prototype benefits riders in helping everyone's helps lives because life was a blessing for everybody, [ABSTRACT FROM AUTHOR]