Bid Documents and Quotation Preparation for Equipment Inspection and Preventive Maintenance: Document Parsing and Chunking

Source data for this category comes from manufacturing enterprise EAM/CMMS systems, daily operator inspection records, maintenance work orders, spare

What This Category of Data Looks Like

Source data for this category comes from manufacturing enterprise EAM/CMMS systems, daily operator inspection records, maintenance work orders, spare parts lists, special equipment inspection records, and similar sources. Update cycles include shift-by-shift inspection submissions, weekly maintenance plan updates, and real-time records when faults occur. Most documents are structured tables, containing fields such as equipment number, inspection items, abnormality description, spare part model, inventory quantity, inspection validity period, and more. Some documents include unstructured fault analysis notes, with units including millimeters, hours, sets, and other equipment-related standard units.

What Constraints Do These Characteristics Impose on Document Parsing and Chunking

Documents with a high proportion of structured tables require retaining field associations during chunking, to avoid splitting key independent fields such as equipment number and spare part model. Batch documents updated at high frequency need fast parsing support, to prevent single-file processing timeouts. Special equipment inspection records contain legally relevant content, so complete clause units must be retained during chunking, and key information must not be truncated. Documents from multiple sources have significant format differences, so support is needed for PDF and table files with different export styles, including tables with merged cells.

How to Configure Settings

The following configurations are based on FastGPT v4.17.0.

Configuration ItemRecommended SettingRationale
chunkSize800–1200 charactersAdapts to the length of single records in inspection sheets and work orders, avoiding splitting key fields
customPdfParseEnabledAdapts to PDF table documents exported from EAM systems with merged cells, fully retaining cell structure and field associations
PARSE_FILE_TIMEOUT_SECONDS120 secondsPrevents timeout errors during parsing of batch inspection sheets or large equipment ledgers due to excessive parsing time
UPLOAD_FILE_MAX_SIZE500 MBSupports single large special equipment inspection record PDFs or batch work order compressed packages
chunkSplitterChunk by paragraph + headingRetains the hierarchical structure of inspection plans and maintenance schemes, ensuring logical integrity of chunked content

Three Common Mistakes

  • Symptom: The document parsing tool returns a parsing failure in the workflow, with logs showing a timeout. Cause: The PARSE_FILE_TIMEOUT_SECONDS parameter was not adjusted, and parsing time for batch inspection sheets exceeded the default threshold.
  • Symptom: Table fields are empty after parsing some PDF documents. Cause: customPdfParse was not enabled, so merged cell table files exported from EAM systems cannot be recognized.
  • Symptom: Spare part model and inventory quantity are split into separate chunks after chunking, preventing association. Cause: chunkSize was set too small, splitting a single spare parts list entry.

How to Confirm the Configuration Is Correct

  • Upload a single equipment inspection sheet PDF, and check if the parsed chunks include complete inspection items, abnormality records, and inspector fields.
  • Upload a batch work order compressed package, and confirm that parsing time does not exceed the duration set by the PARSE_FILE_TIMEOUT_SECONDS parameter.
  • After enabling customPdfParse, check that all cell content is fully retained in the special equipment inspection record table in the PDF.
  • After adjusting chunkSize, verify that a single spare parts list entry is not split into multiple chunks.

The values provided are common starting points and should be evaluated against the user’s own samples.