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PRJ / 11 · Industrial IoT
Indoor Hydroponics Automation System
A networked controller for water-quality and environment sensing, autonomous dosing, dashboards, alerts, logging, and OTA updates.
01 / Overview
A distributed monitoring and control system for NFT grow channels, combining conditioned sensor inputs with autonomous nutrient dosing.
Objectives
- Monitor water and environmental conditions
- Automate peristaltic dosing through feedback control
- Provide dashboards, alerts, history, and OTA updates
My role
[Add your exact role, ownership, dates, and collaborators.]
02 / Problem
Indoor growing systems require stable water chemistry and environmental conditions across multiple channels with enough history to diagnose deviations.
03 / System architecture
01Distributed sensors
02Conditioned acquisition nodes
03PID dosing control
04Node-RED dashboard and alerts
Hardware
- pH, EC, dissolved-oxygen, CO₂, humidity, and PAR sensors
- Custom isolated analog front end
- Peristaltic dosing hardware
- NFT grow-channel nodes
Firmware / software
- PID dosing control
- Node-RED dashboard
- Real-time charts and threshold alerts
- 90-day logging
- OTA firmware updates
04 / Development process
Process
[Add calibration, control tuning, integration, and grow-test stages.]
Challenges
[Add conditioning, isolation, calibration drift, dosing, and reliability challenges.]
05 / Results
The system integrates distributed sensing, autonomous dosing, dashboards, alerts, 90-day logging, and OTA firmware support. [Add deployment status.]
06 / Image gallery
IMAGE / 01[Add prototype photograph]
IMAGE / 02[Add detail photograph]
DIAGRAM / 01[Add architecture visual]
Technologies used
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