Digital Twin Meets CleanTech: AI-Tuned Workflows Shrink CarbonFootprints

AirPollutionTech #CleanAirDashboard#EnergyEfficientIAQ#SmartFiltration 🧠 Digital Twin Meets CleanTech: AI-Tuned Workflows Shrink CarbonFootprints in Real Time #DigitalTwinAI
#SmartContractsForClimate #CarbonNegative2025 #IAQMonitoring
#MCACsystems #DecentralizedAirQuality #HVACautomation
#IoTforCleanAir #DigitalTwinAI #QoSinIoT #P2PdataConsensus
#MTCnetworks
#HEPAfilterSmart
#VOCtracking
#CO2mitigation
#BlockchainForEarth
#CPCcodesForClimate
#CleanAirDashboard
#EnergyEfficientIAQ
#SmartFiltration
#RealtimeAirData
#AIworkflowTuning
#DistributedManufacturing
#ClimateTech2026
#UseCaseDecember

Mission & Focus (0:00–2:50)
Crux:
Goal for Dec 2025 – Build smart contracts to mitigate air pollution and draft carbon-negative protocols by Dec 15, 2025.
🧪 Tech Landscape & Classification (2:50–7:10)
Crux:
Tagging & classifying pollutants using IPC/CPC codes (e.g., C08B1/00, B01D46/0036) to identify, mitigate, and track air quality via smart contracts.
🏠 Indoor Air Quality (IAQ) & HVAC (7:10–14:00)
Crux:
Use case: MCAC (Multicontainment Air Cleaner)
Sensors track: temp, humidity, VOCs, CO₂, particles
Smart contracts auto-adjust HEPA/filtering systems
Dashboard (0–100 scale) tracks energy use vs. air quality
⚙️ IoT + Network Protocols (14:00–17:00)
Crux:
IoT + QoS (Quality of Service)
P2P (H04L67/104)
MTC (H04W4/70)
No parent-child model – peer consensus drives real-world data validation
🤖 Digital Twin + AI (17:00–22:00)
Crux:
Digital twin + AI module
Real-time workflow tuning in distributed manufacturing
AI trains on live data to adjust process parameters
Next step: Use digital twins to simulate carbon-negative outcomes

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