Internet of Things Garage

Predictive Edge Analytics for Sanitary Facility Monitoring

Predictive Edge Analytics for Sanitary Facility Monitoring

This project focuses on developing a novel distributed predictive analytics technique that can efficiently be used in edge computing scenarios. Our partner iPoint is focused on developing sensor data based intelligent services to monitor and maintain hygiene facilities in remote locations (e.g., remote sanitary facilities). Currently, all the sensor data collected by all the sensors are directly sent to the cloud. All the required processing happens within the cloud, and relevant commands are sent back to each hygiene facility. This approach is inefficient from many aspects and could also impact the quality of service and customer satisfaction in certain scenarios.

Problem:

Research Objective: In order to address the challenges face by iPoint, we aim to develop a novel data processing architecture that is capable of moving analytics across different nodes (within the architecture). This means that iPoint will no longer be required to send all the sensor data to the cloud all the time. The onboard computer will conduct most of the data analytics local and will only send the summarised/aggregated data to the cloud. However, our proposed algorithms will consider context information when deciding where the data analysis should happen.


Team


Funding

Knowledge Economy Skills Scholarships (KESS2)

KESS 2 East is the sister project of KESS 2, a major pan-Wales operation supported by European Social Funds (ESF) through the Welsh Government. KESS 2 links companies and organisations with academic expertise in the Higher Education sector in Wales to undertake collaborative research projects.

iPoint

iPoint aims to simplify fleet and data management across the transport industry by unlocking and correlating information from multiple platforms and networks by developing a single sign-on transport management platform.


Partners

iPoint

iPoint aims to simplify fleet and data management across the transport industry by unlocking and correlating information from multiple platforms and networks by developing a single sign-on transport management platform.


Outcomes