20ft µEDC - AI CDC Intelligent Monitoring System (4K Enhanced Edition)

20ft µEDC AI CDC Intelligent Monitoring System

Tier III

AI Mode

Total Cooling Capacity

165 kW

N+1 Redundancy Configuration

Current Load

84 kW

51% Utilization

Cold Aisle Temperature

20.5°C

Set: 18-22°C

Airflow Efficiency

98.2%

Excellent

System Overview

Cooling System

AI Intelligence

Maintenance Plan

🚀 System Status

• ✅ All systems running normally

• 🔄 Airflow circulation efficiency: 98.2%

• 📊 PUE: 1.28 (Excellent)

• 🛡️ Security Status: Normal

🏗️ Equipment Layout

• Rack A: 600mm deep (z=0.6m)

• In-Row CR060: 600mm deep (z=0m)

• Rack B: 600mm deep (z=-0.6m)

• RDHx×2: 170mm thick (Rack rear)

• Control Box: 1.1m×1.1m (Top right entrance)

❄️ Cooling System Status

• In-Row CR060: Running (60kW)

• RDHx A: Running (52.5kW)

• RDHx B: Running (52.5kW)

• Auxiliary Fan: Running (4000m³/h)

🌬️ Airflow Circulation System

• 🔴 Red Hot Air: Rack exhaust → RDHx cooling → Converges to In-Row center

• 🔵 Blue Cold Air: In-Row blows out → Cold aisle → Diverts to front of Rack A/B

• 🟢 Green Auxiliary: Fan pushes warm air from hot zone back to In-Row rear

🧠 AI Intelligent Features

• Intelligent Temperature Prediction: Machine learning-based temperature trend analysis

• Dynamic Fan Control: AI optimizes fan speed and energy consumption

• Failure Prediction: Early detection of equipment anomalies

• Energy Efficiency Optimization: Real-time PUE monitoring and optimization

📈 AI Performance Improvement

• Energy savings: 18.3%

• PUE improvement: 1.45 → 1.28

• Prediction accuracy: 94.7%

• Failure warning time: 2.5 hours in advance

🤖 AI CDC Real-time Processing

📊 Data Collection: Temperature, Humidity, Power, Airflow

🧠 Learning Mode: Analyzing Historical Data Patterns

🔍 Anomaly Detection: Identifying Abnormal Temperature Trends

⚡ Optimization Control: Adjusting Cooling Parameters

🔮 Prediction Analysis: 2-hour Temperature Forecast

🔧 Maintenance Plan

• Next maintenance: 30 days

• RDHx filter status: Good

• System runtime: 1,248 hours

• Maintenance history: No anomalies

📋 Maintenance Records

• 2024.10.01: Routine check - Normal

• 2024.09.15: Filter replacement - Complete

• 2024.08.20: System upgrade - Successful

• 2024.07.10: Preventive maintenance - Normal

DCIM Data Center Infrastructure Management

Environmental Monitoring

Power Monitoring

Equipment Management

Operations Management

Temperature Monitoring

Cold Aisle: 20.5°C | Hot Aisle: 28.3°C | Difference: 7.8°C

Humidity Monitoring

Current: 45% | Range: 40-60%

Airflow Efficiency

Current: 98.2% | Target: >95%

Leak Detection

Status: Normal | Last Check: 2 min ago

Smoke Detection

Status: Normal | Sensitivity: Medium

☀️ Clear

🌧️ Rain

❄️ Snow

⛈️ Storm

🌸 Spring

☀️ Summer

🍂 Autumn

⛄ Winter

UPS Status

Load: 42% | Battery: 100% | Runtime: 45 min

PDU Monitoring

Phase A: 28A | Phase B: 31A | Phase C: 26A | Total: 85A

Rack Power

Rack A: 12.3kW | Rack B: 11.8kW | Total: 24.1kW

PUE Efficiency

Current: 1.28 | Target: <1.30 | Monthly Best: 1.25

Power Cost

Today: $142 | This Month: $4,260 | Forecast: $4,800

Rack Space Utilization

Rack A: 14U/42U (33%) | Rack B: 16U/42U (38%)

Equipment List

Servers: 24 | Network: 6 | Storage: 4

Equipment Power Ranking

1. Compute Node A: 2.3kW | 2. Storage Array: 1.8kW

Network Connections

Connected: 28 | Available: 12 | Usage: 70%

Asset Value

Hardware: $285,000 | Software: $150,000 | Total: $435,000

Maintenance Schedule

Next: 30 days | Last: 15 days ago

SOP Execution

Today: 3/5 | This Week: 12/20

Alert Notifications

Today: 2 | This Week: 8 | This Month: 24

Capacity Planning

Power Headroom: 49% | Cooling Headroom: 52% | Space Headroom: 65%

Protocol Integration

SNMP: Normal | Modbus: Normal | BACnet: Normal | IPMI: Normal

Warning - Rack B temperature approaching limit (26.8°C)

Info - Routine maintenance scheduled in 3 days

Critical - UPS A battery needs replacement (capacity 78%)