Predictive and Corrective Maintenance across tons of devices safely and securely on the go
Use Cases and Deployment Scope
We developed a solution on Electronic health record as a service and found the need of AWS iot core for subscribing devices for automated notification and messages for updating electronic health records and screening methods. AWS iot core enable us to develop and scale a full stack solution without the need of managing the entire infrastructure. We wish to continue exploring its need in asset management and predictive maintenance solution of medical devices.
Pros
- Real time communication and sending messages
- Ability to utilize a variety of communication protocols
- Filter, transform, and act upon device data on the fly, based on your defined business rules.
- Secure device connections and end to end encryption
Cons
- Ability to integrate with Ethercalc software solution
- Ability to introduce NFC toolchains and systems which could be utilized in iot modular gateway solutions like drones
- Ability to reduce latency as the solution scales is very much needed
- Hybrid solution which can integrate other existing iot solutions into AWS iot core
Most Important Features
- Prototyping publish/subscribe solutions across devices
- Experimenting with a variety of communication protocols very quickly
- Learn how to filter, transform and act on device data using toolkit
- End to end encryption management implementation
Return on Investment
- Gives confidence to prototype iot solutions across lots of devices in little time
- Ability to meet requirements for managing a variety of communication protocols
- Learning iot analytics and visualization for faster insights enablement
- Onboarding devices and managing quickly without building inhouse solutions
Alternatives Considered
Microsoft Azure IoT Edge, Microsoft Azure IoT Hub and Microsoft Azure IoT Central
Other Software Used
EtherCalc, Ionic, GitHub




