Digital MRV

Tip

Digital MRV (dMRV) provides cryptographically verifiable proof of real-world activities and impacts through automated data collection, validation, and certification. Unlike traditional MRV, it enables real-time monitoring, cryptographic trust, and automated verification.

Key Advantages

Real-Time Data

Continuous IoT monitoring vs periodic surveys

Cryptographic Trust

Tamper-proof records with blockchain anchoring

Protocol-Driven

Standardized templates for rapid deployment

Automated Verification

AI-powered validation with Oracle services

Protocol Configuration

Project Setup

Select or create protocol template
Define measurement parameters
Configure validation rules
Set reporting intervals

Methodology Alignment

Map to recognized standards
Set baseline calculations
Define emission factors
Configure verification rules

Example Protocol

{
  "type": "CleanCookingProtocol",
  "version": "1.0.0",
  "methodology": "GS_MMECD_1.0",
  "parameters": {
    "measurementInterval": 300,
    "requiredMetrics": [
      "burnTime",
      "fuelConsumed",
      "temperature"
    ],
    "baselineEmissionFactor": 7.2,
    "minimumDataPoints": 100
  },
  "validation": {
    "rules": [{
      "metric": "temperature",
      "min": 50,
      "max": 300
    }],
    "requiredEvidence": [
      "deviceTelemetry",
      "fuelDelivery",
      "baselineData"
    ]
  }
}

Data Collection

Device Integration

from emerging import Device, Protocol

# Load protocol
protocol = Protocol.get("clean-cooking-v1")

# Configure device with protocol
device = Device.configure(
    device_id="did:ixo:device/123",
    protocol=protocol,
    settings={
        "measurement_interval": 300,
        "offline_buffer_size": 1000
    }
)

# Start measurements
device.start_monitoring()

{
  "deviceId": "did:ixo:device/123",
  "timestamp": "2024-03-15T12:00:00Z",
  "measurements": {
    "burnTime": 300,
    "fuelConsumed": 15,
    "temperature": 180
  },
  "signature": "0xabc..."
}

Data Pipeline

Collection

Device authentication
Secure data transmission
Edge validation
Offline buffering

Processing

Protocol validation
Data aggregation
Anomaly detection
Baseline comparison

Verification Process

Oracle Network

from emerging import Oracle, Protocol

# Initialize oracle with protocol
oracle = Oracle(
    protocol_id="clean-cooking-v1",
    min_confidence=0.95,
    required_validators=3
)

# Verify measurements
verification = oracle.verify_measurements(
    measurements=device_data,
    baseline=baseline_data,
    evidence={
        "telemetry": sensor_logs,
        "delivery": fuel_records
    }
)

# Issue credential if valid
if verification.is_valid:
    credential = verification.issue_credential()

import { Oracle, Protocol } from '@emerging/sdk';

// Initialize oracle with protocol
const oracle = new Oracle({
  protocolId: 'clean-cooking-v1',
  minConfidence: 0.95,
  requiredValidators: 3
});

// Verify measurements
const verification = await oracle.verifyMeasurements({
  measurements: deviceData,
  baseline: baselineData,
  evidence: {
    telemetry: sensorLogs,
    delivery: fuelRecords
  }
});

// Issue credential if valid
if (verification.isValid) {
  const credential = await verification.issueCredential();
}

Validation Rules

protocolCompliancebooleanrequired

Measurements follow protocol specification

dataIntegritybooleanrequired

Cryptographic proofs are valid

evidenceQualitynumberrequired

Confidence score for supporting evidence

Credential Issuance

{
  "@context": [
    "https://www.w3.org/2018/credentials/v1",
    "https://w3id.org/dmrv/v1"
  ],
  "type": ["VerifiableCredential", "MeasurementClaim"],
  "issuer": "did:ixo:oracle/456",
  "issuanceDate": "2024-03-15T12:00:00Z",
  "credentialSubject": {
    "id": "did:ixo:device/123",
    "protocol": "clean-cooking-v1",
    "measurements": {
      "burnTime": 300,
      "fuelConsumed": 15
    },
    "evidence": [{
      "type": "TelemetryData",
      "hash": "0x123...",
      "uri": "ipfs://Qm..."
    }]
  }
}

Best Practices

Tip

Follow protocol specifications carefully and implement comprehensive data validation at every stage.

Security

Use secure communication channels
Implement device authentication
Validate data integrity
Monitor for anomalies

Scalability

Configure offline buffering
Implement batch processing
Use load balancing
Monitor system performance

Next Steps

Protocol Guide

Create custom protocols

Device Integration

Connect IoT devices

Oracle Setup

Configure validation networks