What the data for this category looks like
Data related to the coal chemical industry mainly comes from enterprise production DCS systems, raw material procurement ERP, downstream customer delivery orders, and industry monitoring platforms. Update rhythms differ: production parameters update daily, purchase orders sync in real time, and industry monitoring data updates weekly. Each individual data document has a clear structure, including fields such as origin identifier, raw material calorific value, processing capacity, product grade, inventory balance, and delivery timestamp. Each field has a clear physical unit, and there is no complex nested structure.
What constraints these characteristics impose on workflow orchestration
Differing update rhythms across multi-source data require differentiated scheduled pull rules for workflows, to prevent high-frequency pulls from occupying system resources. Clear field units and entity attributes require unified verification logic in workflow nodes, to avoid confusion between different types of numerical fields. The weekly update frequency of industry monitoring data requires workflows to support weekly-triggered batch content generation nodes, to align with the periodic update rhythm of marketing content. The temporal attribute of delivery timestamps requires verification rules to ensure inventory information displayed in marketing content matches actual delivery times.
How to set the configuration
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
Scheduled Task Trigger Interval | Set production data to 86400 seconds, purchase orders to 300 seconds, industry monitoring data to 604800 seconds | Matches the actual update rhythm of each data source, avoids invalid pulls occupying resources |
Field Verification Rules | Configure calorific value verification range 4000–7000 kcal/kg, capacity verification range 100–5000 tons/day | Filters abnormal parameter data in the coal chemical industry, ensures marketing content uses compliant data |
API_REQUEST_TIMEOUT | 600 seconds | Adapts to long-sequence marketing content generation processes, avoids mid-process timeout interruptions |
Recalled Entry Count | Top 8 entries | Accurately matches coal chemical industry terminology and production data, reduces LLM processing load |
Similarity Threshold | 0.75–0.85 | Filters low-relevance knowledge base documents, improves the professionalism of marketing content |
Knowledge Base Filter Parameters | Configure by industry classification = coal chemical + data type = production ledger | Accurately recalls knowledge base content in the target field, avoids interference from irrelevant information |
The parameter values provided on this page are all common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Calling the published workflow API returns a
408 Request Timeoutstatus code. Cause: TheAPI_REQUEST_TIMEOUTconfiguration is not set to a duration adapted to long processes, leading to timeout interruptions. - Knowledge base search results include documents outside the coal chemical field, and variable reference filtering does not take effect. Cause: The filter conditions for
Knowledge Base Filter Parametersare not configured correctly, or the parameter format does not meet system requirements. - Confused calorific value and capacity fields appear in generated marketing content. Cause: No
Field Verification Rulesare configured, and no verification of field types and units of input data is performed, leading to data misalignment.
How to Confirm Proper Configuration
- Manually trigger the workflow once, check the logs of the data synchronization node, confirm that the pull intervals of each data source match the configuration.
- Input simulated coal chemical production data, verify that the field verification rules intercept abnormal parameters and correctly match field units.
- Call the workflow API, check the knowledge base recalled content in the returned results, confirm that the filter conditions take effect and only return coal chemical-related documents.
- Check the workflow's timeout monitoring metrics, confirm that the
API_REQUEST_TIMEOUTconfiguration matches the actual process duration, with no frequent timeouts.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.