What the data for this category looks like
Construction machinery data sources primarily include factory qualification certificates, annual maintenance records, on-site operating condition monitoring terminal data, and third-party quality inspection reports. Static data such as equipment model, factory serial number, and rated power remains fixed across the device lifecycle, with no changes after initial entry. Operational data such as maintenance times and component replacement records is updated monthly. Real-time operating condition data such as operating hours and load factor is transmitted back by terminals every 15 seconds. A single due diligence report document typically includes basic equipment information, full lifecycle maintenance logs, and a 30-day operating condition summary. Fields include equipment SN code, cumulative operating hours, and single maintenance cost. Units follow international standard metrics; some industry-specific custom parameters must match original manufacturer specifications.
Constraints Imposed on Citation Sources and Provenance by These Data Characteristics
Construction machinery data characteristics create multiple constraints for citation provenance. Fixed equipment SN codes require the provenance system to bind unique identifiers, to avoid mixing parameters from different devices. High-frequency real-time operating condition data needs support for tracing by collection timestamps, to ensure cited condition records match actual operating times. Multi-source heterogeneous data (factory documents, maintenance logs, real-time terminal data) requires unified field mapping rules, to avoid parameter mismatches across data sources. Full lifecycle logs in long documents need support for segmented tracing, to ensure each cited segment corresponds to specific maintenance or condition entries, avoiding generalized citations of entire documents. Some encrypted third-party quality inspection reports need support for parsing metadata to complete provenance, to ensure cited sources are verifiable.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
embeddingModel | text-embedding-3-large | Supports vector extraction for multi-field heterogeneous construction machinery data, enables high-dimensional feature matching, and meets accuracy requirements for segmented recall of long documents |
maxContext | 800–1200 characters | Single construction machinery due diligence reports often contain multiple segments of condition and maintenance data. This range covers the full context of a single core citation, avoiding truncation of critical provenance information |
recallTopK | Top 6–8 results | Equipment parameters and condition data are closely linked. This setting recalls enough relevant segments to cover all provenance basis, while avoiding redundant results that cause interference |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large maintenance log PDF files takes significant time. This value covers the parsing process for most long documents, preventing missing provenance data due to timeouts |
sourceLinkEnable | Enabled | Provenance information such as construction machinery equipment SN codes and condition collection times must be bound to specific data sources. Enabling this parameter displays original document metadata and citation locations in responses |
chunkSize | 500 characters | Adapts to the segmented structure of maintenance logs. Splitting documents into granularity matching single maintenance or condition records ensures precise localization of specific entries during provenance checks |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Issue: Citation sources are marked in Q&A responses, but corresponding provenance information is not displayed, or provenance fields are empty. Cause: The
sourceLinkEnableconfiguration is not enabled, or unique identifier fields such as equipment SN codes are not bound when importing the knowledge base. - Issue: The service hangs with no response when calling the
text-embedding-3-largemodel. Cause: The concurrent connection count of the vector database is not configured, or thePARSE_FILE_TIMEOUT_SECONDSvalue is not adjusted, leading to failure to properly release resources after long document parsing timeouts. - Issue: Recalled citation segments do not match the target Q&A pair, resulting in parameter mixing across devices, or failure to return preset original response content from the knowledge base. Cause: Knowledge base classification indexes are not established based on equipment SN codes, or the
recallTopKvalue is too large, causing redundant segments to interfere with matching accuracy.
How to Verify Correct Configuration
- Import a complete due diligence document for a single piece of construction machinery, trigger a Q&A, and check the provenance module below the response to confirm that the original document's file name, collection time, or equipment SN code is displayed.
- Adjust the
chunkSizeparameter, then view the segmented list after knowledge base parsing, to confirm that each single segment corresponds to a single maintenance or condition record, with no cross-entry splitting. - Simulate Q&A requests for multiple devices, check that recalled results only associate with equipment parameters corresponding to the current query, with no invalid cross-device citations.
- Call the
text-embedding-3-largemodel to import test data, check the vector database logs to confirm no timeout errors or abnormal resource usage.
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.