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IoT Architecture for Smart Manufacturing: A Practical Guide

How to design a robust IoT architecture for manufacturing environments — from edge computing to cloud analytics, without the vendor lock-in.

Rohan Desai
May 12, 2025
9 min read

Smart manufacturing requires a thoughtful IoT architecture that balances real-time local processing with cloud analytics.

The Three-Tier Architecture

Tier 1: Edge Devices

Sensors, PLCs, and microcontrollers collecting raw data. At this tier, latency must be sub-millisecond for safety-critical systems.

Tier 2: Edge Gateway

An industrial PC or Raspberry Pi CM4 aggregates device data, runs local ML models for anomaly detection, and buffers data during connectivity loss.

Tier 3: Cloud Platform

Aggregated data flows to the cloud for long-term storage, cross-plant analytics, and executive dashboards.

Protocol Selection

  • **OPC-UA**: For deterministic industrial communication
  • **MQTT**: For constrained devices and IoT clouds
  • **Modbus TCP**: Legacy equipment integration
  • **AMQP**: Enterprise message bus
  • Avoiding Vendor Lock-In

    Use open protocols at every layer. Avoid proprietary device clouds. Design your data model to be portable across AWS IoT, Azure IoT Hub, or a self-hosted MQTT broker.

    Tags:IoT & EmbeddedCoreFi TechTechnology
    RD

    Rohan Desai

    Technical Writer · CoreFi Tech

    A seasoned practitioner at CoreFi Tech with deep expertise in this domain. Writes about emerging technologies and practical engineering approaches.