AI-generated scenario illustration for the integration guide

First distinguish communication from protocols

5G and NB-IoT are communication networks; MQTT, HTTP, and TCP carry data exchanges; Modbus is a common industrial communication protocol. Devices may also use manufacturer-specific messages over TCP. During integration, confirm the network, transport, authentication, protocol, and fields separately to avoid mistaking network connectivity for usable data.

What information is needed for an integration assessment?

We recommend preparing the manufacturer, model, communication method, protocol documentation, real message samples, device ID, sampling interval, range, unit, and multiplier. For bidirectionally interactive devices, also describe the query, control, response, and heartbeat mechanisms. For restricted devices, confirm manufacturer cooperation and the gateway solution.

What can an AI Agent help with?

The Agent can assist in identifying message structures, extracting fields, generating mappings, and configuring interactions. Unknown fields still require documentation or field-measurement interpretation; encrypted data requires legally authorized keys and protocols. The value of AI is to reduce repetitive parsing and configuration work and make adaptations easier to reuse.

When is integration considered complete?

The device's raw readings match the values parsed by the platform, with correct timestamps, units, multipliers, and measurement-point assignments; rules are in place for duplicate reporting, disconnections, retransmission, and abnormal messages; and data enters charts, alerts, and reports reliably. End-to-end integration testing with a sample data segment is recommended.

Providing the model + protocol + message samples + measurement-item units can accelerate integration more effectively than providing only the device IP and port.
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