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09 - Implementation Roadmap

Phase-wise implementation plan for IoT and hardware integration

Table of Contents​

  1. Project Overview
  2. Phase 1: Foundation
  3. Phase 2: Protocol Integration
  4. Phase 3: Edge Deployment
  5. Phase 4: Production Rollout
  6. Resource Requirements
  7. Risk Mitigation

1. Project Overview​

Timeline Summary​

┌─────────────────────────────────────────────────────────────────────────┐
│                    IMPLEMENTATION TIMELINE                               │
│                                                                          │
│  PHASE 1          PHASE 2          PHASE 3          PHASE 4             │
│  Foundation       Protocols        Edge             Production          │
│  ─────────        ─────────        ────             ──────────          │
│                                                                          │
│  Week 1-3         Week 4-7         Week 8-11        Week 12-14          │
│                                                                          │
│  • API Setup      • MQTT           • Docker         • Pilot Deploy      │
│  • Database       • OPC-UA         • TFLite         • Monitoring        │
│  • WebSocket      • Modbus         • Offline        • Documentation     │
│  • Auth           • Kepware        • Sync           • Training          │
│                                                                          │
└─────────────────────────────────────────────────────────────────────────┘

Success Criteria​

MetricTarget
Sensor data latency< 100ms end-to-end
System uptime99.5%
ML prediction accuracy> 95%
Edge offline capability24 hours
Data sync reliability99.9%

2. Phase 1: Foundation (Weeks 1-3)​

Week 1: API Infrastructure​

Tasks​

  • Create /api/iot/ingest endpoint
  • Create /api/iot/batch endpoint
  • Create /api/iot/status endpoint
  • Implement Zod validation schemas
  • Set up API key authentication
  • Configure rate limiting

Deliverables​

// File: src/app/api/iot/ingest/route.ts
// File: src/app/api/iot/batch/route.ts
// File: src/app/api/iot/status/route.ts
// File: src/lib/iot/validation.ts
// File: src/middleware/iot-auth.ts

Acceptance Criteria​

  • API accepts sensor readings via POST
  • Validation rejects malformed data
  • API key authentication works
  • Rate limiting prevents abuse

Week 2: Database & Storage​

Tasks​

  • Set up InfluxDB instance
  • Create database schemas
  • Implement write functions
  • Implement query functions
  • Set up Redis for caching
  • Configure retention policies

Deliverables​

// File: src/lib/influxdb/client.ts
// File: src/lib/influxdb/queries.ts
// File: src/lib/redis/cache.ts
// File: docker-compose.db.yml

Acceptance Criteria​

  • Sensor data persists to InfluxDB
  • Queries return historical data
  • Redis caches latest readings
  • Retention policies auto-delete old data

Week 3: Real-time Communication​

Tasks​

  • Implement WebSocket server
  • Create client-side hook
  • Set up room-based subscriptions
  • Implement broadcast functions
  • Add connection monitoring
  • Test with dashboard

Deliverables​

// File: src/lib/iot/websocket-server.ts
// File: src/hooks/useIoTSocket.ts
// File: src/components/iot/LiveSensorDisplay.tsx

Acceptance Criteria​

  • Dashboard receives real-time updates
  • Multiple clients can subscribe
  • Reconnection works automatically
  • Latency < 50ms

3. Phase 2: Protocol Integration (Weeks 4-7)​

Week 4: MQTT Integration​

Tasks​

  • Set up EMQX broker
  • Implement MQTT client service
  • Define topic structure
  • Create message parsers
  • Bridge MQTT to WebSocket
  • Test with MQTT simulator

Deliverables​

// File: src/lib/iot/mqtt-client.ts
// File: src/lib/iot/mqtt-bridge.ts
// File: docker-compose.mqtt.yml

Acceptance Criteria​

  • MQTT messages flow to API
  • Topic wildcards work
  • QoS 1 ensures delivery
  • Reconnection is automatic

Week 5: OPC-UA Integration​

Tasks​

  • Implement OPC-UA client
  • Create node subscription system
  • Handle data type conversions
  • Implement security modes
  • Test with Prosys simulator
  • Document node mapping

Deliverables​

// File: src/lib/iot/opcua-client.ts
// File: src/lib/iot/opcua-mapper.ts
// File: docs/opcua-node-mapping.md

Acceptance Criteria​

  • Connect to OPC-UA server
  • Subscribe to multiple nodes
  • Data changes trigger callbacks
  • Security modes configurable

Week 6: Modbus Integration​

Tasks​

  • Implement Modbus TCP client
  • Implement Modbus RTU client
  • Create register mapping
  • Handle data type conversions
  • Implement polling service
  • Test with Modbus simulator

Deliverables​

// File: src/lib/iot/modbus-client.ts
// File: src/lib/iot/modbus-mapper.ts
// File: config/modbus-registers.json

Acceptance Criteria​

  • Read holding registers
  • Write registers (setpoints)
  • Polling interval configurable
  • Error handling robust

Week 7: Unified Gateway​

Tasks​

  • Create IoT Gateway service
  • Implement protocol abstraction
  • Add data transformation layer
  • Create configuration system
  • Implement health monitoring
  • Integration testing

Deliverables​

// File: src/lib/iot/iot-gateway.ts
// File: src/lib/iot/data-transformer.ts
// File: config/iot-gateway.yml

Acceptance Criteria​

  • All protocols work together
  • Single configuration file
  • Health endpoint reports status
  • Graceful degradation on failures

4. Phase 3: Edge Deployment (Weeks 8-11)​

Week 8: Docker Containerization​

Tasks​

  • Create edge Dockerfile
  • Create ML inference Dockerfile
  • Write docker-compose.edge.yml
  • Optimize image sizes
  • Test on x86 and ARM
  • Create deployment scripts

Deliverables​

# File: Dockerfile.edge
# File: ml/Dockerfile.tflite
# File: docker-compose.edge.yml
# File: scripts/deploy-edge.sh

Acceptance Criteria​

  • Images build successfully
  • Containers start correctly
  • ARM compatibility verified
  • Image size < 500MB total

Week 9: ML Model Optimization​

Tasks​

  • Convert models to TFLite
  • Implement quantization
  • Create inference server
  • Benchmark performance
  • Validate accuracy
  • Document model versions

Deliverables​

# File: ml/convert_to_tflite.py
# File: ml/inference_server.py
# File: models/water_quality_model.tflite

Acceptance Criteria​

  • Model size < 5MB
  • Inference time < 50ms
  • Accuracy loss < 2%
  • Works on edge hardware

Week 10: Offline Capability​

Tasks​

  • Implement local data buffer
  • Create offline alert system
  • Build sync service
  • Handle conflict resolution
  • Test offline scenarios
  • Implement recovery

Deliverables​

// File: src/edge/local-buffer.ts
// File: src/edge/offline-alerts.ts
// File: src/edge/cloud-sync.ts

Acceptance Criteria​

  • 24-hour offline operation
  • Local alerts work offline
  • Data syncs when online
  • No data loss on reconnect

Week 11: Edge Testing​

Tasks​

  • Deploy to test hardware
  • Run stress tests
  • Test failover scenarios
  • Measure resource usage
  • Fix identified issues
  • Document edge setup

Deliverables​

# File: docs/edge-setup-guide.md

# File: docs/edge-troubleshooting.md

# File: tests/edge-integration.test.ts

Acceptance Criteria​

  • 72-hour stability test passes
  • Memory usage stable
  • CPU usage < 50%
  • All edge features work

5. Phase 4: Production Rollout (Weeks 12-14)​

Week 12: Pilot Deployment​

Tasks​

  • Select pilot site
  • Install edge hardware
  • Configure sensors
  • Deploy software
  • Monitor initial operation
  • Gather feedback

Deliverables​

# File: docs/pilot-deployment-report.md

# File: docs/sensor-installation-guide.md

Acceptance Criteria​

  • System operational at pilot site
  • Data flowing to cloud
  • Predictions generating
  • No critical issues

Week 13: Monitoring & Optimization​

Tasks​

  • Set up Grafana dashboards
  • Configure alerting
  • Implement logging
  • Performance tuning
  • Security audit
  • Load testing

Deliverables​

# File: grafana/dashboards/iot-overview.json
# File: grafana/alerts/critical-alerts.yml
# File: docs/monitoring-guide.md

Acceptance Criteria​

  • Dashboards show all metrics
  • Alerts trigger correctly
  • Logs searchable
  • Performance meets SLA

Week 14: Documentation & Training​

Tasks​

  • Complete API documentation
  • Write user guides
  • Create training materials
  • Record demo videos
  • Prepare handoff docs
  • Final review

Deliverables​

# File: docs/api-reference.md

# File: docs/user-guide.md

# File: docs/admin-guide.md

# File: docs/troubleshooting.md

Acceptance Criteria​

  • All docs complete
  • Training delivered
  • Client sign-off
  • Project closure

6. Resource Requirements​

Team​

RoleAllocationResponsibilities
Backend Developer100%API, protocols, gateway
DevOps Engineer50%Docker, deployment, monitoring
ML Engineer25%Model optimization
Frontend Developer25%Dashboard integration
QA Engineer25%Testing

Infrastructure​

ResourceSpecificationCost/Month
Cloud Server4 vCPU, 16GB RAM$100
InfluxDB Cloud10GB storage$50
MQTT BrokerEMQX Cloud$30
Edge HardwareSiemens IOT2050$500 (one-time)
Test SensorspH, Flow, Temp$2,000 (one-time)

Budget Summary​

CategoryAmount
Development (14 weeks)$35,000
Infrastructure (3 months)$540
Hardware (one-time)$2,500
Contingency (15%)$5,700
Total$43,740

7. Risk Mitigation​

Risk Matrix​

RiskProbabilityImpactMitigation
Hardware compatibilityMediumHighTest early with actual devices
Protocol complexityMediumMediumUse proven libraries
Network reliabilityHighMediumImplement offline mode
ML accuracy on edgeLowHighValidate before deployment
Security vulnerabilitiesMediumHighSecurity audit in Week 13

Contingency Plans​

  1. Hardware Issues: Have backup devices ready
  2. Protocol Problems: Fall back to REST polling
  3. Performance Issues: Scale cloud resources
  4. Timeline Delays: Prioritize core features

Milestones​

MilestoneDateDeliverable
M1: API CompleteWeek 3Working IoT API
M2: Protocols DoneWeek 7All protocols integrated
M3: Edge ReadyWeek 11Edge deployment working
M4: ProductionWeek 14System in production

Next Steps​

Last Updated: December 2024