Solution Architecture
Solution Architecture
Comprehensive AI-powered plant monitoring and optimization platform
APP and Dashboard
Automatic Monitoring & Insights
APIs for 3rd Party
Connect to centralized ACsBEAM Certifications
Onsite survey
AI Algorithm
IOT Platform
Data Analytics
Other System Capabilities
With Partners
Building Environmental Assessment Method
Future
Building Environmental Assessment Method
Sensors Equipped Plants
Plants Health, Soil Moisture monitoring
Indoor Room
Temperature, Humidity, CO2 level tracking
Indoor Sensors
Environmental monitoring stations
Security
Compliance
Plants Database (10,000+ Species)
Range of Sensors: Environmental Detection
Comprehensive environmental monitoring with 18+ parameters
| Detection Type | Range | Resolution | Accuracy | Lifespan |
|---|---|---|---|---|
| Temperature | −45°C ~ 125°C | 0.1°C | ±1°C | 10 years |
| Humidity | 0 ~ 99% RH | 0.1% RH | ±5% RH | 10 years |
| PM2.5 | 0 ~ 1000 μg/m³ | 1 μg/m³ | ±10% reading | ≥ 40,000 h |
| PM10 | 0 ~ 1000 μg/m³ | 1 μg/m³ | ±10% reading | ≥ 40,000 h |
| PM1.0 | 0 ~ 1000 μg/m³ | 1 μg/m³ | ±10% reading | ≥ 40,000 h |
| CO₂ | 400 ~ 5000 ppm | 1 ppm | ±50 ppm ±3% FS | 10 years (in air) |
| HCHO | 0 ~ 5000 μg/m³ | 1 μg/m³ | ±10 μg/m³ ±10% FS | 2 years (in air) |
| TVOC | 0 ~ 5000 μg/m³ | 1 μg/m³ | ±10% reading | 10 years (in air) |
| O₃ | 0 ~ 5000 ppb | 1 ppb | ±2% FS | 2 years (in air) |
| CH₄ | 0 ~ 100% LEL | 1% LEL | ±5% FS | 3 years (in air) |
| CO | 0 ~ 1000 ppm | 1 ppm | ±3% FS | 2 years (in air) |
| O₂ | 0 ~ 25% Vol | 0.1% Vol | ±3% FS | 2 years (in air) |
| NH₃ | 0 ~ 100 ppm | 1 ppm | ±5% FS | 2 years (in air) |
| H₂S | 0 ~ 100 ppm | 1 ppm | ±5% FS | 2 years (in air) |
| NO₂ | 0 ~ 20 ppm | 0.1 ppm | ±3% FS | 2 years (in air) |
| SO₂ | 0 ~ 20 ppm | 0.1 ppm | ±3% FS | 2 years (in air) |
| Atmospheric Pressure | 30 ~ 110 kPa | 0.1 kPa | ±0.15 kPa @ 25°C | 3 years (in air) |
| Noise | 30 ~ 120 dB | 0.1 dB | ±1 dB | 3 years |
10k Plant Data: Backbone of AI-Powered Plant System
Comprehensive database powering intelligent plant placement and energy optimization
10,000+
Plant Species in Database
95%
AI Algorithm Accuracy
25%
Validated Energy Savings
Sample Plant Database Fields
- Cooling Ability: High, Medium, Low classification
- Transpiration Rate: Very High to Low (L/day)
- Sunlight Needs: Bright, Moderate, Low requirements
- Size: Small to Large (height specifications)
- Best Placement: Optimal location recommendations
- Area Cooled: Coverage in m² per plant
- Heat Reduction: BTU/hr cooling capacity
- Energy Savings: kWh/day efficiency gains
- Growth Coefficient: Environmental impact factors
Featured Plant Species
Areca Palm
Cooling: High
Transpiration: 1.3 L/day
Energy Savings: 1.2-1.5 kWh/day
BTU Reduction: 2000-3000/hr
Boston Fern
Cooling: High
Transpiration: 1.2 L/day
Energy Savings: 0.6-0.8 kWh/day
BTU Reduction: 1200-2000/hr
Peace Lily
Cooling: High
Transpiration: 0.2 L/day
Energy Savings: 0.4-0.6 kWh/day
BTU Reduction: 1200-1500/hr
Advanced Data Analytics & Visualization
Real-time monitoring and predictive insights (Click on charts to view in detail)
Temperature Reduction Analysis
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Energy Savings Over Time
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Multi-Parameter Environmental Monitoring
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Air Quality Improvement
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Plant Growth Coefficient by Environmental Conditions
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