The Valve Management System is designed to efficiently monitor and control valve operations remotely. This project aims to provide a seamless interface for managing valve states, scheduling valve operations, and monitoring real-time statuses, enhancing operational efficiency and reliability in fluid control systems.
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Real-time Valve State Monitoring: Utilize Azure Functions and Device Twins to track the current state of valves in real-time, offering immediate insights into system performance.
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Remote Valve Control: Leverage cloud-based control mechanisms to turn valves on or off from anywhere with Azure IOT Hub, ensuring flexibility and remote manageability.
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Scheduling with Precision: Implement scheduling of valve operations through Azure Queue Storage for automated workflows.
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Cloud-Enabled Scalability: The system is designed to scale thanks to its cloud-based architecture, which allows for dynamic resource allocation and management.
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Frontend:
- React.js
- Vite
- React Query
- Tailwind CSS
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Backend:
- Azure Functions
- Node.js
- Docker
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Database:
- Azure Queue Storage
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Clone the Repository
git clone https://github.com/RestartDK/water-treatment-cloud cd water-treatment-cloud -
Set up Webapp
bun installStart the development server:
bun run dev -
Set up Virtualised Raspberry Pi
docker pull dkumlin/raspberry-pi:1.1Run the container with primary device connection string
docker run -e CONNECTION_STRING="<YOUR_CONNECTION_STRING>" -p 4000:80 dkumlin/raspberry-pi:1.1 -
Start Azure function locally
git clone https://github.com/RestartDK/valve-connector cd valve-connectorInstall all relevant dependencies
bun installRun the azure functions locally
bun run start -
Environment Variables Set up the necessary environment variables in a
local.setting.jsonfile for the azure function.For more information, visit the Valve Connector GitHub Repository.
- To run the frontend, execute
bun startin the frontend directory.