介绍系统架构Explaining the System Architecture

Ryan, let us review the proposed architecture before we invite the wider team. I want every data movement to have a clear purpose.

Agreed. At the station, the production-line camera captures only the configured view. The stream goes directly to the Edge AI computing unit on the local equipment network.

Is the raw stream sent anywhere else?

Not by default. The edge unit analyses it locally. We may retain selected images or short clips for approved exception events, but that policy still needs your security review.

What exactly does the model return?

It returns structured results: the target class, location, state and a confidence value where that value is useful. The workflow client consumes the agreed fields rather than interpreting the full video itself.

How does the client know which operation should come next?

The process is configured as workflow states and transitions. A transition can depend on a vision result, a scan, a tool status or another approved signal. The client evaluates those conditions and presents the current instruction.

There is a PLC signal for station completion. Do you plan to write back to the PLC?

That has not been decided. First, we need the protocol, tag definition, ownership and fail-safe state. For the initial phase, reading an approved status may be enough; any write action needs separate testing and approval.

Good. Now, what information moves to the management platform?

Configured event records, workflow status and selected evidence can move upwards. The platform supports authorised review, traceability and statistics. We do not need it to make the immediate station decision.

Suppose the management connection is unavailable for twenty minutes. What happens at the station?

If the local components remain healthy, the configured local workflow can continue. Outgoing records are queued within a defined limit. If that limit is reached, the response must follow an agreed rule rather than silently losing data.

And when the connection returns?

The system can synchronise the queued records in order, with checks to prevent duplicate events. We should test that recovery path during commissioning.

Where will configuration changes be made?

Authorised configuration can be managed centrally, but deployment to a station should use version control, an approval record and a rollback option. The line-side client should show which approved version is active.

That separation makes sense. I will document the security zones and retention requirements. Please mark every interface that still needs an owner.

I will update the architecture diagram with data direction, protocol status and failure behaviour. Then we can review it with the controls, IT and production owners together.

Please include time synchronisation as well. If the camera, edge unit and client use different clocks, an event sequence could look wrong even when the operation is correct.

Good point. We will identify the approved time source, allowed clock drift and the behaviour when synchronisation is lost. Event records should carry enough timing context for later review.

How will operations know that a component is unhealthy before it affects the station?

Each critical component should expose health information such as camera connectivity, inference service status, storage availability and workflow-client communication. The alert path and responsible owner need to be defined, not merely displayed on a dashboard.

Would a camera failure automatically stop the station?

That response belongs to the approved fail-safe design. Depending on process risk, the station might show a clear degraded-mode prompt, require manual confirmation or hold the affected workflow. The automation owner must approve any control action.

What do you mean by degraded mode in this context?

It means the system cannot perform one configured function and makes that limitation visible. It must not silently present an old result as current. The permitted manual process, evidence requirements and recovery check should be documented.

Let us also discuss software updates. Can the management platform push a model directly to every edge unit?

Distribution can be managed centrally, but activation should follow an approved release process. A package needs identity, integrity checks, compatibility information, an authorised target list and a rollback path before a station uses it.

Can we test an update on one station before wider deployment?

Yes, a staged rollout is safer. We can validate the package on a designated station, review health and workflow results, then approve the next group. The release record should show who approved each stage.

What architecture evidence should be ready before commissioning begins?

We should have the approved component inventory, network and data-flow diagram, interface register, retention rules, account roles, health checks, fail-safe behaviour, version plan and testable recovery procedures.

That is more than a connection diagram, but it gives each team a clear responsibility.

Exactly. A useful architecture explains not only how data moves during normal operation, but also how the system is monitored, changed, recovered and governed when conditions are not normal.

I will ask each owner to review the diagram from both perspectives: normal data flow and abnormal operating behaviour. That should reveal any responsibility gap before the site test.

I will add a review column for assumptions, evidence and approval status. When those entries are complete, the diagram becomes a controlled engineering record rather than a presentation image.