PART 03
Part III
Part III · Applications: Multi-Scenario Practice and Trusted Collaboration
This part projects the same multi-protocol, cloud-native, AI-native base onto three contrasting scenarios — industry, city, and agriculture — to validate cross-scenario adaptability. It adds cross-organization trust (DID, blockchain, federated learning) and closes the book with a hands-on IoT DC3 project.
Part III · Applications: Multi-Scenario Practice and Trusted Collaboration
This part projects the same multi-protocol, cloud-native, AI-native base onto three contrasting scenarios — industry, city, and agriculture — to validate cross-scenario adaptability. It adds cross-organization trust (DID, blockchain, federated learning) and closes the book with a hands-on IoT DC3 project.
Chapters in this part
- Chapter 10. Industrial IoT and Smart Manufacturing — Brings the platform capabilities back to the factory floor, connecting digital twins, Modbus, OPC UA, time-series data, rule engines, and predictive maintenance into one complete loop.
- Chapter 11. Smart Cities and Connected Vehicles — Around traffic, urban governance, and vehicular networks: massive device access, V2X communication, capacity governance, and AI-driven prediction and optimization.
- Chapter 12. Agricultural IoT and Environmental Monitoring — From environmental sensor networks and precision agriculture to LPWAN selection, edge analytics, and AI serving long-running, dispersed agricultural sites.
- Chapter 13. Trusted Data Collaboration, Decentralized Identity, and Privacy-Preserving Computation — With device identity and trusted data as the thread, connects DID, blockchain, supply-chain traceability, and privacy-preserving computation — how trust is built across organizations.
- Chapter 14. IoT DC3 in Practice: From Platform to Agent Applications — An end-to-end project connecting device access, data collection, platform deployment, and agent applications, closing with the common pitfalls and trade-offs of real implementations.