Readers produce observations; operations and business systems need trustworthy events. Plan the processing layer around identity, timing, location, exceptions and recovery rather than treating raw reads as completed transactions.
01 / 현장 노트
Separate observation from event
Keep the raw reader observation distinct from the normalized business event. Define the item or load-unit identity, location, trigger, time window and operation that must be recognized before data is posted downstream.
02 / 현장 노트
Write the event contract
Name the required identifier, location, timestamp, source, operation and workflow state. Decide which fields are authoritative, which are derived and what evidence must remain available when a value is incomplete or conflicting.
03 / 현장 노트
Filter and validate
Apply deduplication, timing, location and state rules before an event reaches a WMS, ERP, MES or another business system. Keep enough raw context for diagnosis when an observation is rejected, delayed or ambiguous.
04 / 현장 노트
Connect systems deliberately
Document the fields, interface, authentication, retry behavior and ownership for each handoff. A processing layer can route events across different systems, but it does not remove the need for a clear source of truth and failure path.
05 / 현장 노트
Make rejection recoverable
Give missing identity, unexpected state, duplicate submission, timeout and offline conditions a visible queue or owner. Preserve the original observation, processing decision, downstream response and next action instead of silently discarding a failed event.
06 / 현장 노트
Test the complete flow
Exercise normal movement, repeated reads, delayed messages, rejected transactions, replay and recovery. Record the observation, normalized event, system response and final operator action as acceptance evidence.
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