What the Data for This Category Looks Like
Data for specialized equipment intelligent due diligence reports comes primarily from three sources: equipment factory certificates and technical manuals, full-life-cycle operation and maintenance logs of equipment, and compliance filing documents from industry regulatory authorities.
Basic factory data is static documentation, including fields such as equipment model, serial number, rated power, and rated speed. Corresponding units are model code, unitless serial number, kW, and r/min, respectively.
Operation and maintenance logs are quarterly updated structured records, containing single run duration and cumulative operating hours.
Compliance filing data consists of annually updated batch files, including the equipment annual inspection qualification identification field.
Constraints Imposed on Workflow Orchestration by These Characteristics
The multi-source and multi-update cycle characteristics of specialized equipment due diligence data impose three core constraints on workflow orchestration. First, split static and dynamic data retrieval nodes. Basic factory data only needs to be pulled and cached once. Operation and maintenance logs and compliance filing data trigger incremental retrieval according to their respective update cycles to avoid resource waste. Second, operation and maintenance logs use structured CSV format. A format parsing node must be configured to convert raw tabular data into structured text suitable for retrieval. Third, field units follow clear industry specifications. A unit verification node must be configured to ensure consistent units for power, duration and other fields across data sources, preventing deviations in subsequent analysis.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
knowledge base recall count | top 8–12 entries | Specialized equipment due diligence requires coverage of multiple dimensions including factory parameters, operation records, and compliance information. 8-12 entries balances retrieval coverage and response speed |
chunk length | 900–1100 characters | A single operation and maintenance log record contains multiple sets of operating parameters. This chunk length preserves the semantic integrity of a single log record |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Annual compliance filing data is mostly large batch files. A 600-second timeout covers the complete file parsing and index building process |
global variable knowledge base binding rule | match corresponding knowledge base ID by equipment model | Due diligence data for different specialized equipment models is stored in independent knowledge bases. Passing model parameters via global variables enables precise retrieval |
plugin parameter fallback strategy | prioritize reading global variable values, enable plugin default configuration if not obtained | Adapts to personalized parameter requirements for different equipment, while retaining fallback capability for exception scenarios |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: The workflow returns a "no matching knowledge base found" error with status code 404 when calling knowledge base retrieval. Cause: The global variable binding to the corresponding knowledge base ID is not configured by equipment model, and a general knowledge base ID is mistakenly used instead of a dedicated one.
- Symptom: The due diligence report returned after workflow runtime has mixed field units, with different units used together. Cause: No unit verification node is configured, and no unified unit conversion is performed for parameter fields across data sources.
- Symptom: Plugin parameters directly use plugin default configurations instead of reading global variables as expected. Cause: The delivery path of global variables is not correctly configured, and variables are not properly injected into the binding position of plugin parameters.
How to Verify Proper Configuration
- Run a single test run, and check whether the returned ID of the knowledge base call in the workflow log matches the knowledge base ID bound to the current equipment model.
- Upload a simulated operation and maintenance log file, and verify whether the parsed text chunks fall within the preset chunk length range.
- Simulate an exception scenario where variables are not delivered, and confirm whether the plugin automatically enables the preset default configuration.
- Check the index update record to confirm that compliance filing data has completed full index updates according to the set update cycle.
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.