What the Data for This Category Looks Like
Data sources for automated equipment due diligence data include manufacturer factory specification documents, equipment operation and maintenance logs, third-party quality inspection reports, and industry standard compliance documents. Factory specification parameters are static data, fixed by equipment model. Operation and maintenance logs are high-frequency updated data, generated daily or per shift. Quality inspection reports are batch-updated data, synchronized with equipment production batches.
A single due diligence document includes fields such as equipment model, serial number, core component parameters (such as power, rotational speed, accuracy grade), maintenance cycle, and fault history. Field units include kW, rpm, μm, hours, and some fields support multiple units.
Constraints Imposed on Workflow Orchestration
Disparate sources of multi-source data require the workflow to include multiple nodes to pull content from different data sources, to avoid overloading a single node. Differences in update rhythms for different data require the workflow to set differentiated trigger intervals. Static parameters can be synced weekly, while operation and maintenance logs need daily pull triggers. Diverse field units require the workflow to include built-in unit conversion tools, to prevent unit mismatches during parameter comparison. Wide fluctuations in the length of single due diligence documents require the workflow to configure flexible chunking nodes, to adapt to document lengths ranging from hundreds to tens of thousands of characters.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Knowledge base recall count | Top 8-12 entries | Automated equipment has a large number of core parameters and operation and maintenance fields, requiring sufficient coverage of content to support due diligence report generation |
Similarity threshold | 0.75-0.85 | Equipment parameters are mostly professional terms, requiring high matching accuracy to prevent low-correlation content from being included in due diligence reports |
Workflow Timeout Duration | 300-600 seconds | Multiple data sources need to be pulled and long text content processed, to avoid workflow interruptions caused by insufficient processing time |
Batch Execution Batch Size | 5-10 units per batch | Data volume varies widely across single pieces of equipment; small batch execution can avoid system resource overload |
Global Variable Default Value | Use device classification tags preset in the knowledge base | Automatically match due diligence template parameters for the corresponding category, reducing manual configuration workload |
File Parsing Chunk size | 800-1200 characters | Adapt to the long text structure of operation and maintenance logs, improving the accuracy of RAG retrieval |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. Testing on local samples prior to final configuration is recommended.
Three Common Mistakes
- Issue: Empty value returned when binding global variables to the knowledge base, with interface prompt "No matching knowledge base documents found". Cause: The preset value of the global variable does not match the classification tags of the knowledge base, preventing automatic association with the corresponding data source.
- Issue: 400 status code returned by the knowledge base search node, with prompt "No matching results". Cause: The custom knowledge base has not uploaded the standard parameter documents and operation log templates for automated equipment, or the similarity threshold is set too high.
- Issue: Plugin parameters in the batch execution node use the plugin's default configuration instead of the specified variable values. Cause: No variable priority rules were configured in the workflow, and no instruction was given to prioritize obtaining parameters from custom variables.
How to Confirm Proper Configuration
- Trigger the workflow for a single piece of equipment manually. Verify whether the global variable automatically associates with the knowledge base documents of the corresponding classification.
- Review workflow run logs. Confirm that the batch count of the batch execution node matches the preset value, and no resource overload error messages appear.
- Verify the similarity threshold setting. Randomly select 10 due diligence reports, and check whether the retrieved documents include equipment core parameters and operation records.
- Remove the specified plugin parameter variable manually. Confirm that the plugin automatically switches to the preset default configuration value.
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.