Internal Office and Employee Services for Power Generation Equipment Manufacturing: Document Parsing and Chunking

What this category of data looks like

Internal office data for power generation equipment manufacturing includes equipment operation and maintenance manuals, maintenance work records, parts technical drawing descriptions, safety operation procedures, employee post training courseware, and similar materials. Update cycles adjust based on new model releases, monthly maintenance archiving, and quarterly safety procedure revisions, with no fixed schedule. Most documents are in PDF format, containing long-form technical paragraphs, structured maintenance record tables with fields such as equipment number, fault code, and processing duration, parts drawings with industrial symbols, and parameter tables. Field units mostly use industrial standard units including MW, MPa, millimeters, and kilowatt-hours.

What constraints these characteristics impose on document parsing and chunking

Power generation equipment documents primarily contain long-form technical content. When splitting content, retain complete semantics of technical descriptions to avoid breaking professional logic. Documents include structured maintenance records and chart-integrated drawings. Use separate parsing rules for unstructured text and structured fields, otherwise key parameters will be lost. Single documents have large file sizes, which create higher requirements for upload size limits and parsing timeout periods. The recognition accuracy of industrial units and symbols directly impacts subsequent retrieval accuracy. Standard OCR modes cannot meet the parsing needs of drawings and tables.

How to set the configuration

Reference only; verify against the target FastGPT release and deployment documentation.

Three common errors

1. Phenomenon: After uploading a PDF containing industrial drawings, the parsing result lacks equipment parameter information, and the interface shows an OCR Error alert. Reason: The customPdfParse high-precision OCR mode is not enabled. Standard parsing modes cannot recognize industrial symbols and parameter tables within drawings.
2. Phenomenon: After uploading certain documents in simple mode, no matching search results appear, and only error prompts are displayed. Reason: chunkSettingMode is not configured for manual mode. Default chunking rules cannot adapt to the semantic boundaries of long-form technical manuals, leading to incorrect splitting of key content.
3. Phenomenon: After uploading an ultra-large unit operation and maintenance manual, the parsing task times out and fails. Reason: The value set for PARSE_FILE_TIMEOUT_SECONDS is too low to complete full parsing of a PDF document with over 1000 pages.

How to confirm the configuration is applied correctly

• Upload a PDF document containing engineering drawings and parameter tables, and check if the parsed text includes fields such as equipment model and operating parameters to verify that the customPdfParse configuration is active.
• Upload a large operation and maintenance manual within the 1000 MB limit, and check if the parsing task completes within the time frame set by PARSE_FILE_TIMEOUT_SECONDS without timeout errors.
• Search for professional terms within the document, and check if returned results include complete technical description fragments to confirm that the chunkSize and chunkSplitter configurations perform as expected.
• Access the system settings page, and confirm that the configured value of UPLOAD_FILE_MAX_SIZE is not lower than the maximum size of commonly uploaded documents.

The values provided here are common starting points and should be measured against the reader's own samples.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.