Overview
During my time at EdgeMethods, a Microsoft partner, I was responsible for creating an engaging
dashboard to display a live data stream from industrial IoT (IIoT) sensors on the factory floor of a
leading British plastics engineering company. The project aimed to deliver a platform that could
support real-time decision-making by executives as part of their carbon emissions reduction
strategy.
The sensor data from the factory was accessed through an API initially developed by EdgeMethods. I
used Node.js to develop a web-based application that dynamically retrieved this data and displayed
it on a user-friendly webpage accessible to key stakeholders. Leveraging my web design skills, I
crafted an intuitive and visually engaging front end with colours and animations to signal factory
process efficiency.
The final product received positive feedback from both EdgeMethods and the client. Its accessibility
and dynamic features led the client to request an expansion of the IIoT project, with an increased
focus on interactive data dashboards.
Skills Used
- Node.js
- API Integration
- Embedded JavaScript
- Dynamic JavaScript Graphs
- Real-Time Data Visualisation
- Stakeholder Engagment
- Industrial IoT
- UI/UX Design
Highlights
Real-Time Production Insights
Interactive graphs highlight each production stage’s performance, showing deviations from target efficiency for immediate insights and optimisation.
Batch Cost and Emissions Summary
Shows CO₂ emissions, power usage, and cost metrics to guide sustainability efforts.
Error and Maintenance Logging
Allows users to log and track process overruns and maintenance events for improved reliability and future reference.