Cloud-based RealTime Energy Monitoring with Wireless Sensors

Long-term monitoring and modeling energy consumption behaviors is a daunting task for decades. This project aims to achieve efficient energy consumption data collection and processing using wireless sensors and cloud platform together, focusing on large scale enterprises that consume large amount of energy, e.g., electricity, gas. By tackling the challenges through algorithm design and system integration, a prototype system will be delivered, which can effectively gather data from distributed sensors and efficiently analyze real time data on the cloud platform. With optimized network design and real time analysis tool, this project will greatly help the partner deeply understand the key points that drive the large portion of energy consumption. Furthermore, this can also help with upgrading the manufacturing processes and optimizing the management for production.

Faculty Supervisor:

Jiangchuan Liu

Student:

Wei Gong

Partner:

Rimeware Technologies

Discipline:

Computer science

Sector:

Alternative energy

University:

Simon Fraser University