What This Category of Data Looks Like
Data for this category comes from material grade files, customer technical requirement documents, workshop temperature control instrument collection data, furnace temperature uniformity test reports, hardness tester and metallographic equipment test results, and production MES systems. The update frequency is once per furnace load or production batch. Daily generated documents include heat treatment process cards, furnace loading layout diagrams, real-time furnace temperature curves, hardness and metallographic test reports, equipment inspection forms, and exception handling sheets. Document fields include heating temperature, holding time, furnace temperature fluctuation range, hardness value, metallographic structure grade, and more. Corresponding units are mostly degrees Celsius, minutes, and HV/HRC grade identifiers.
What Constraints These Characteristics Impose on the Document Parsing and Chunking Link
This category of data characteristics creates multiple constraints for the document parsing and chunking workflow. Small-volume documents updated at high frequency per furnace load or batch require the parsing workflow to have low latency. Documents contain structured parameters, time-series curves, and unstructured test results simultaneously. Parsing rules must adapt to multiple types of content. Format differences between different documents are significant. The field arrangement logic of process cards and test reports varies. Chunking must retain the correlation of business fields. It must avoid separating bound information such as furnace temperature data and corresponding hardness test results. Exception handling sheets have high timeliness requirements. The chunking logic must distinguish the priority of regular production documents and exception documents. This ensures core audit information is not missed.
Configuration Settings
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the information length of a single set of process parameters or a single test report in heat treatment documents, avoiding separation of related business fields |
chunkSplitter | By paragraph + semantic boundary | Matches the natural segment logic of process cards and test reports, retaining the integrity of business information |
customPdfParse | Enable visual content parsing | Supports parsing annotation information in furnace temperature curves and furnace loading layout diagrams, avoiding loss of graphical audit basis |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Covers the parsing time of multi-document combinations per furnace load, avoiding parsing failure due to timeout |
chunkSettingMode | Manual configuration | Adjust chunking rules for different document types (process cards, test reports) to adapt to format differences |
Three Common Mistakes
- A
Cannot read properties of undefinederror occurs after calling the parsing process. The cause is that thecustomPdfParseconfiguration is not enabled, resulting in missing necessary processing modules when parsing visual content. - A large amount of duplicate content or chaotic boundaries appear in the chunking results. The cause is that the
chunkSizeand chunk boundary rules are not adjusted according to the business segments of heat treatment documents, leading to related business fields being separated or repeatedly included. - Structured test parameters such as hardness values and furnace temperature data cannot be extracted correctly. The cause is that parsing rules for dedicated document formats are not configured, and general chunking logic cannot recognize dedicated field identifiers for the heat treatment industry.
How to Verify Correct Configuration
- Upload a single heat treatment process card, check whether the parsed chunks retain the correlation of core business fields such as heating temperature and holding time.
- Upload a PDF document containing a furnace temperature curve, confirm that the parsed results include the temperature values and time-series information marked on the curve.
- Test multiple documents in different formats such as hardness test reports and exception handling sheets to verify whether the chunking logic adapts to their respective typesetting rules.
- Upload a single-batch combined document, check whether the parsing time is within the preset
PARSE_FILE_TIMEOUT_SECONDSrange.
The values provided are common starting points and should be evaluated against relevant samples.