A Distributed Wireless sensor network for continuous remote supervision of Industrial, Scientific, and Medical equipment
Problem and Motivation
- Laboratories house equipment that contain vital samples, and there’s always a risk of equipment malfunctions and damage to their contents.
- This risk is increased now that the COVID-19 lockdowns mean less people are in the labs to frequently observe important equipment and tend to maintenance issues.
- Continuous supervision is desired but is too costly. Leveraging Internet-of-Things technologies, however, enables 24/7 monitoring of crucial equipment status.
Afferent uses a distributed wireless sensor network, made up of sensing nodes, cloud-hosted anomaly detection tools, and a client app for end-user interaction. This design is focused on real-time, low latency, bidirectional data streaming.
Reduction of Stress
- Users and researchers can feel at ease when they are away from the lab or workplace with the assurance that they will be able to respond quickly to an alert.
Reduction of wasted resources
- An affected sample means a setback for the researcher, which incurs in a duplication of effort and resources. Afferent allows researchers to act quickly and stay informed.
Enable flexibility among essential personnel
- Remote monitoring of equipment can reduce the number of users within the lab environment while ensuring the stability of equipment.
Norh Asmare, Joel Corporan, and Daniella Corporan