Chien, Stanley Yung-PingChheta, Monil VallabhbhaiChen, JieLi, Lingxi2021-04-062021-04-062021-05https://hdl.handle.net/1805/25582http://dx.doi.org/10.7912/C2/2602Indiana University-Purdue University Indianapolis (IUPUI)This project aims to develop a cloud-based platform that integrates sensors with business intelligence for real-time energy management at the plant level. It provides facility managers, an energy management platform that allows them to monitor equipment and plant-level energy consumption remotely, receive a warning, identify energy loss due to malfunction, present options with quantifiable effects for decision-making, and take actions, and assess the outcomes. The objectives consist of: 1. Developing a generic platform for the monitoring energy consumption of industrial equipment using sensors 2. Control the connected equipment using an actuator 3. Integrating hardware, cloud, and application algorithms into the platform 4. Validating the system using an Energy Consumption Forecast scenario A Demo station was created for testing the system. The demo station consists of equip- ment such as air compressor, motor and light bulb. The current usage of these equipment is measured using current sensors. Apart from current sensors, temperature sensor, pres- sure sensor and CO2 sensor were also used. Current consumption of these equipment was measured over a couple of days. The control system was tested randomly by turning on equipment at random times. Turning on the equipment resulted in current consumption which ensured that the system is running. Thus, the system worked as expected and user could monitor and control the connected equipment remotely.en-USAttribution-NonCommercial-NoDerivatives 4.0 InternationalIndustrial Internet of Things (IIoT)Internet of Things (IoT)MicrocontrollerSensorDatabaseWeb ServerIoT FrameworkControl SystemReal-Time ApplicationReal-TimeEmbedded SystemThesis