What the Data for This Category Looks Like
The inspection and process record data for ready-mixed concrete production originates from ready-mixed concrete batching plant control systems, project testing laboratories, engineering orders, and raw material inspection ledgers. Data updates follow per vehicle production record, per batch raw material inspection, and daily laboratory archiving. Common documents include mix proportion notices, startup verification records, production and delivery slips, raw material inspection reports, and test block compressive strength records. Fields cover aggregate moisture content, mix proportion parameters, slump, strength grade, and other metrics. Units include cubic meters, kilograms, megapascals, and other industry-specific measurement standards.
What Constraints Do These Characteristics Impose on the Document Parsing and Chunking Stage
This category of data updates frequently and has strong interconnections. Each vehicle’s production record ties tightly to the corresponding batch’s raw material inspection and test block records. When parsing and chunking documents, retain cross-field business context to avoid breaking retrieval logic by splitting associated data. Document types vary widely: fixed-header PDF inspection reports and structured Excel ledgers are common, so parsing rules must adapt to different formats. The accuracy of core business fields directly impacts production quality, so parsing processes must accurately extract key parameters to avoid field omissions or mismatches.
Configuration Settings
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | The core business paragraph length of a single ready-mixed concrete business document typically falls within this range, avoiding splitting complete mix proportion and inspection parameter combinations |
chunkSplitter | Split by paragraph + header and footer | Adapts to documents with fixed-format headers and footers such as mix proportion notices and test block reports, preserving document structural integrity |
PARSE_FILE_TIMEOUT_SECONDS | 60–90 seconds | The size of a single regular business document is mostly within 10 MB, and this duration covers the typical time required for complex table parsing |
customPdfParse | Enable custom parsing rules | Accurately extract core fields such as slump and strength grade for industry-specific inspection table structures |
UPLOAD_FILE_MAX_SIZE | 20 MB | Supports batch uploading of associated documents for a single batch, meeting the business needs of laboratory batch archiving |
chunkSettingMode | Manual configuration | Adjust chunking parameters separately for different document types such as PDF reports and Excel ledgers to adapt to business data structures |
Three Common Configuration Mistakes
- Issue: Parsing a single large raw material inspection report triggers a timeout error and returns a platform error prompt. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted based on the actual document size, and the default duration is insufficient to cover the parsing process for complex tables. - Issue: When retrieving production and delivery slips in Excel format, the number of specified regional data entries returned is far less than the actual stored volume. Cause: Complete regional associated fields were not retained during chunking, or chunks were too large, causing cross-chunk associated data to be truncated and preventing complete condition matching during retrieval.
- Issue: After uploading a PDF-format startup verification record, core fields such as slump and mix proportion parameters are missing from the parsing result. Cause: The
customPdfParsecustom parsing rule was not enabled, and the general parser cannot recognize industry-specific table structures.
How to Verify Proper Configuration
- Upload a single typical document such as a mix proportion notice PDF, review the parsed chunked content, and confirm that core business fields are not split across different chunks.
- Upload batch Excel production ledger files, trigger a retrieval test, check that the number of returned data entries matches the actual stored count, and adjust chunking parameters until they meet business requirements.
- Upload a large file to simulate a timeout scenario, verify that the timeout parameter covers parsing time, and confirm that no error is returned.
- Check that the custom parsing rules cover the headers and fields of ready-mixed concrete-specific documents, ensuring that key parameters are correctly extracted.
The values provided are common starting points and should be evaluated against the reader’s own samples.