Dimension | IoT Platform | Industrial Internet Platform | Integrated Management Platform |
---|---|---|---|
Technical Features | Device connectivity and protocol conversionEdge computing capabilities | Full-process digitalization in vertical industriesIndustrial AI and digital twins | Cross-system data integrationStandardized APIs and middleware |
Typical Technology Stack | – Communication Protocols: MQTT/CoAP/LoRaWAN– Tools: Node-RED, AWS IoT Core | – Protocols: OPC UA/Modbus– Tools: Siemens MindSphere, PTC ThingWorx | – Middleware: ESB/ETL– Tools: MuleSoft, IBM Integration Bus |
Hardware Carrier | Sensors, edge computing gateways, embedded devices | Industrial servers, high-concurrency real-time database clusters | Cloud servers, hybrid cloud infrastructure |
Development Tools | – Arduino/Raspberry Pi (hardware)– Alibaba Cloud IoT Studio (software) | – Industrial IDEs (e.g., Siemens TIA Portal)– CAD/PLM tools | – Low-code platforms (e.g., OutSystems)– API management tools (Postman) |
Data Complexity | Real-time streaming data (temperature, pressure, etc.)Low value density | Multi-source heterogeneous data (production processes, supply chain)High-value decision support | Structured data cleansingCross-system metadata mapping |
Examples | Smart home device status monitoringEnvironmental sensor data collection | Predictive maintenance of factory equipmentSupply chain optimization in the energy sector | Integration of ERP and CRM systemsConstruction of multi-department data platforms |