Co2 Tank Monitor

❌ Do NOT use when:

• Monitoring liquid nitrogen tanks for cryogenic storage → Use freezer-sample-locator or specialized LN2 monitors
• Tracking compressed air or N2 cylinders for non-CO2 applications → Adapt parameters but verify compatibility
• Real-time IoT sensor integration is available → Use actual sensor API instead of simulation
• Cylinder uses weight-based measurement instead of pressure → Modify calculation logic accordingly
• Emergency gas leak detection is needed → Use gas detection safety systems with alarms
• Managing bulk tank installations with automatic switchover → These systems have built-in monitoring

Related Skills:

• 上游 (Upstream): equipment-maintenance-log, lab-inventory-tracker
• 下游 (Downstream): eln-template-creator, lab-budget-forecaster

Integration with Other Skills

Upstream Skills:

• equipment-maintenance-log: Track CO2 incubator maintenance history that affects consumption rates
• lab-inventory-tracker: Monitor cylinder inventory and replacement schedules
• equipment-maintenance-log: Record calibration dates for pressure gauges

Downstream Skills:

• eln-template-creator: Generate experiment templates that include gas monitoring checklists
• lab-budget-forecaster: Forecast CO2 gas costs based on consumption trends
• waste-disposal-guide: Coordinate empty cylinder disposal with replacement

Complete Workflow:

Daily Morning Check → co2-tank-monitor → equipment-maintenance-log → lab-inventory-tracker → Replacement Scheduling

Core Capabilities

1. Pressure-Based Depletion Prediction

Calculate remaining cylinder lifetime based on current pressure readings and historical consumption patterns.

from scripts.main import calculate_remaining_days, calculate_depletion_time
from datetime import datetime

# Current cylinder status
current_pressure = 8.0  # MPa
daily_consumption = 1.5  # MPa/day

# Calculate remaining time
remaining_days = calculate_remaining_days(current_pressure, daily_consumption)
print(f"Remaining days: {remaining_days:.1f}")

# Calculate depletion datetime
depletion_time = calculate_depletion_time(remaining_days)
print(f"Estimated depletion: {depletion_time.strftime('%Y-%m-%d %H:%M')}")

# Formula: remaining_days = pressure / daily_consumption

Parameters:

Calculation Method:

remaining_days = current_pressure / daily_consumption

Best Practices:

• ✅ Calibrate consumption rate based on historical data (monitor for 1-2 weeks)
• ✅ Account for usage variations - higher on heavy culture days, lower on weekends
• ✅ Check pressure at consistent time (e.g., 9 AM daily) for accurate trends
• ✅ Update consumption rate seasonally - incubator usage may vary

Common Issues and Solutions:

Issue: Inaccurate consumption estimates

• Symptom: Predicted depletion date consistently off by several days
• Solution: Monitor actual consumption over 2-4 weeks; adjust daily_consumption parameter

Issue: Pressure fluctuations causing false alerts

• Symptom: Inconsistent pressure readings due to temperature changes
• Solution: Take readings at same time daily; allow cylinder to equilibrate after use

2. Weekend Depletion Risk Detection

Identify if cylinder depletion will occur during weekends when laboratory staff is unavailable.

from scripts.main import is_weekend, will_deplete_on_weekend, calculate_depletion_time
from datetime import datetime

# Calculate depletion time
remaining_days = 3.5
depletion_time = calculate_depletion_time(remaining_days)

# Check if depletion is on weekend
if is_weekend(depletion_time):
    print(f"⚠️  Warning: Depletion on {depletion_time.strftime('%A')}")