What this category of data looks like
This category serves rubber product enterprises including tire and seal manufacturers. Daily documents include formula sheets, weighing records, mixing curves, vulcanization process cards, finished product performance reports, and more. Data sources include formula systems, raw material batch management modules, internal mixers, Mooney viscometers, vulcanizers, and laboratory testing equipment. Data updates trigger with each truckload of rubber, each batch of raw materials, and each production run. Document fields include mixing temperature (℃), vulcanization time (min), batch number, feeding ratio, and other unique identifiers and units. The data structure combines structured tables and unstructured curve charts.
What constraints do these characteristics impose on document parsing and chunking?
Documents for this category include both structured fields and visual curve charts. Update frequency triggers in real time alongside production processes. Parsing and chunking workflows must balance data integrity and contextual association. Multi-source documents have significant format differences. Parsing tools must adapt to different layout logic to avoid missing fields or formatting errors. Each batch of data links directly to production results. Parsing errors will disrupt subsequent process judgments, so parsing confidence must be maintained. Large mixing curve files increase total parsing time. Workflows must balance parsing efficiency and accuracy.
Configuration settings
The following configurations are based on FastGPT v4.17.0, and are adapted to document parsing needs for rubber mixing and product vulcanization scenarios:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | This category of documents has both structured fields and mixing curve charts. This chunk length supports data integrity and contextual association requirements |
customPdfParse | Enabled | This category of documents includes non-standard PDF layouts such as mixing curves and vulcanization process cards. Custom parsing accurately extracts content from specific areas |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Large files such as mixing curves require longer parsing times. This duration prevents timeout errors during standard file parsing |
chunkSplitter | Split by paragraph + table | Documents include structured tables and text paragraphs. This splitting method preserves data association and prevents cross-chunk information loss |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Single batch mixing records may include multiple sets of curve data. This upper limit covers file sizes for most production scenarios |
Three common configuration errors
- Symptom: After parsing a mixing process card PDF, chunked content loses mixing temperature values. Cause:
customPdfParseis not enabled. The specific layout of the process card is not adapted, leading to missing structured fields. - Symptom: After uploading an Excel weighing record, the system returns empty parsing results. Cause: Excel file parsing rules are not enabled, and parsing support for the corresponding file type is not configured.
- Symptom: A timeout error triggers when parsing large mixing curve files. Cause:
PARSE_FILE_TIMEOUT_SECONDSis set too short, and does not match the parsing time required for large files.
How to confirm correct configuration
- Upload a standard mixing process card PDF, check if all structured fields and curve annotations are included in the parsed chunks.
- Upload an Excel weighing record, confirm that parsed chunks retain feeding data and corresponding units for each batch.
- Upload a single mixing curve file of 800 MB, confirm that the parsing task does not trigger a timeout.
- Adjust
chunkSizeto different ranges, verify that chunk lengths meet expectations and no content is truncated.
The values provided are common starting points and should be measured against the reader's own samples.