Project Brief

Simplifying the Development and Operation of WindMill’s IoT Devices

For Real Time Stream Processing, Internet of Things Solutions Design, Microsoft Azure, .NET Core, Microsoft Azure SQL Database, Angular, Azure App Service

Project Information

Our Process

01

Analysis

The most crucial part of the web app development process is to analyse and gain an accurate understanding of what the client wants and their vision for the development. By thoroughly understanding goals, we analyse and form a strategic structure for development.

02

Design

From defining site architecture to selecting the technical stack, we design the complete roadmap of the project, starting from colour schemes, graphics, icons, templates, user experience, style guides, transitions, buttons, and much more to finalize the design aspect.

03

Development

With an agile strategy, we are adaptable & dedicated to the project scope & effectively incorporate quality assurance into the development processes by consistently providing value to clients. The entire process is also remarkably transparent.

04

Delivering

After development, we optimize the performance when required and renew licenses while adding new features according to the product roadmap to ensure we attain successive growth and satisfactory results that adds value.

Business Goals

To utilize the power of IoT by incorporating industrial internet-based solutions to integrate systems, thus allowing for faster control within turbines and assimilating it to the control centre for predictive maintenance and business diagnostics.

Challenges:

Our Approach:

Architected the platform as Azure IoT based solution with Azure App Service, Azure SQL as data storage forming PaaS infrastructure to keep DevOps costs minimal while meeting business objectives
Implemented Azure approved IoT meter device configuration and communication with Azure IoT Hub
Implemented Azure Stream Analytics based real time data processing
Implemented back-office web interface to monitor energy generation, generate reports of prediction and actual energy generated
Developed machine learning model that produces energy generation prediction on each windmill by factoring geo-location, height, weather data

Outcomes & Values Delivered:

Technologies Used

Microsoft Azure:

Framework

Language

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