Stove Use Monitors (SUMs) are sensors that track cooking events to verify actual stove usage and prevent stove stacking. A cooking event is recorded when the stove temperature exceeds a defined threshold, providing continuous, objective data about usage patterns.

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Key Features

Complete Coverage

Installation required on all active cookstoves unless deviation is justified

Continuous Monitoring

Ongoing measurements with no interruption preferred

Stacking Detection

Track concurrent usage across multiple stoves to prevent double-counting

Data Reliability

Regular collection to prevent data loss when digital transmission isn’t possible

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Quick Start

curl -X POST https://api.emerging.eco/v1/devices \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "type": "StoveUseMonitor",
    "householdId": "did:ixo:household/123",
    "stoveId": "did:ixo:stove/456",
    "configuration": {
      "samplingRate": 300,
      "temperatureThreshold": 60,
      "transmissionMode": "realtime"
    }
  }'

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Implementation Requirements

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Device Configuration

​
samplingRate
integer
required
Seconds between temperature readings (recommended: 1-5 minutes)
​
temperatureThreshold
integer
required
Temperature (°C) threshold for cooking event detection
​
transmissionMode
string
required
“realtime” | “batch” | “manual”

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Data Model

{
  "deviceId": "did:ixo:device/sum789",
  "stoveId": "did:ixo:stove/456",
  "readings": [{
    "timestamp": "2024-02-20T08:15:00Z",
    "temperature": 85.4,
    "cookingEvent": true,
    "duration": 1800
  }],
  "status": {
    "battery": 92,
    "signal": "strong",
    "lastSync": "2024-02-20T08:20:00Z"
  }
}

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Handling Stove Stacking

from emerging import HouseholdAnalytics

# Analyze stove usage patterns
analytics = HouseholdAnalytics("did:ixo:household/123")

stacking_report = analytics.detect_stacking(
    period_start="2024-02-01",
    period_end="2024-02-28",
    stove_types=["traditional", "improved"]
)

# Get detailed cooking events
events = analytics.get_cooking_events(
    min_duration=1800,  # 30 minutes
    min_temperature=60
)

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Integration with Household Monitoring

from emerging import Household, Device

# Get household digital twin
household = Household.get("did:ixo:household/123")

# Register SUMs for all stoves
for stove in household.stoves:
    sum_device = Device.create(
        type="StoveUseMonitor",
        stove_id=stove.id,
        household_id=household.id
    )
    
    # Link to household digital twin
    household.add_device(sum_device)

# Monitor stove usage compliance
compliance = household.check_monitoring_compliance()

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Error Handling

​
400
error
Invalid device configuration
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404
error
Device or stove not found
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503
error
Data transmission failure

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Best Practices

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Installation

  • Mount sensors securely
  • Calibrate temperature thresholds
  • Verify signal strength
  • Test data transmission
  • Document any coverage exceptions

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Monitoring

  • Check battery levels regularly
  • Validate sensor readings
  • Monitor data completeness
  • Track transmission status
  • Verify continuous operation

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Data Collection

  • Implement backup procedures
  • Regular quality checks
  • Document collection frequency
  • Maintain collection records
  • Prevent data loss

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Stove Stacking Prevention

  • Monitor all household stoves
  • Track concurrent usage
  • Validate cooking patterns
  • Cross-reference data sources
  • Document usage anomalies

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Next Steps

Installation Guide

Sensor placement and setup

Data Collection

Managing SUM data

Analytics Guide

Usage pattern analysis

Household Integration

Digital twin setup

Household Monitoring

Track complete household energy transitions

Qualitative Surveys

Validate usage patterns with surveys

Kitchen Performance Tests

Verify fuel consumption measurements

Household Reporting

Generate comprehensive reports