What data looks like for this category
Daily documents for precast concrete components include component detail drawings, steel bar cutting lists, mold inspection records, pouring and vibration records, curing records, and demolding and factory inspection reports. Data sources include BIM or detailed design files, steel bar and concrete batch ledgers, mold table and curing kiln operation data, laboratory test records, and QR code traceability systems. Data updates are triggered by production links, and are updated per single component, per batch of materials, and per curing kiln batch respectively. Documents include structured fields such as steel bar diameter, concrete strength grade, and mold table number, as well as long-text process descriptions.
What constraints do these characteristics impose on document parsing and chunking
The unique document characteristics of precast concrete components impose multiple constraints on parsing and chunking. Each single component has a dedicated detail drawing and cutting list. Chunking must retain unique identifier fields such as component number and embedded part position, to avoid losing associated information across chunks. Documents from multiple sources have large format differences: some are plain-text curing records, while others are BIM files with drawing elements. Parsing rules must be adapted to these differences. Frequently updated production data requires the parsing process to have sufficient stability, to avoid data loss caused by timeout interruptions.
How to set configurations
All configurations below are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Precast concrete component documents have both structured fields and long-text process descriptions. This range balances information integrity and retrieval efficiency |
chunkSplitter | Mixed paragraph and fixed-length splitting | Adapts to mixed-format documents that include both long-section curing records and structured steel bar lists |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Addresses parsing time for large BIM detail drawings and batch pouring records, avoids mid-process timeout interruptions |
customPdfParse | Enable drawing element extraction | Adapts to non-plain text content such as embedded part annotations and dimension parameters in component detail drawings |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Accommodates multiple pouring records from a single batch and complete BIM drawing files |
Three common mistakes
- An invalid image error appears in the parsing result after uploading a DOCX-format steel bar cutting list. Cause: The CAD-exported image format embedded in the document is not recognized by the default parsing engine, and the image adaptation rule of
customPdfParseis not enabled. - A slow operation timeout is logged when parsing large BIM detail drawings. Cause:
PARSE_FILE_TIMEOUT_SECONDSis not set to a sufficient duration, and the default value is not enough to handle the parsing process for large drawings. - Only partial structured table data is captured. Cause:
chunkSplitteris not configured to adapt to table chunking rules. The default chunking truncates cross-page table content, resulting in incomplete data.
How to confirm configurations are correctly set
- Upload a single typical component detail drawing, check that the parsing result includes core fields such as embedded part position and component number, with no missing or truncated content.
- View the parsing log to confirm no timeout errors occur, and
PARSE_FILE_TIMEOUT_SECONDSmatches the parsing duration. - Upload documents of different formats (DOCX cutting list, PDF curing record) to verify that
customPdfParsecorrectly extracts non-plain text content. - Test the retrieval effect of chunked content, confirm that a single chunk contains complete single-component parameters or single-batch records, with no loss of key information across chunks.
The values provided are common starting points and should be measured against the reader's own samples.