Supplier and Process Quality Audit for Equipment Inspection and Preventive Maintenance: Document Parsing and Chunking

Data for this category comes primarily from daily outputs of manufacturing enterprise equipment departments, maintenance teams, and public utility

Data profile for this category

Data for this category comes primarily from daily outputs of manufacturing enterprise equipment departments, maintenance teams, and public utility departments. Included content covers equipment ledgers, inspection checklists, maintenance plans, work orders, failure analysis, spare parts lists, special equipment inspection records, and more. Data sources include EAM/CMMS systems, equipment sensor collection, operator inspection records, maintenance history archives, spare parts inventory ledgers, and statutory inspection reports. Update frequencies cover shift-based inspection submissions, daily and weekly maintenance plan releases, and real-time records when failures occur. Document structures vary widely. Some are structured table-based documents like inspection checklists and spare parts lists. Others are plain text documents such as failure analysis and work orders. Some documents include fixed-format statutory inspection fields.

Constraints for document parsing and chunking

Significant differences in document structure require parsing and chunking workflows to handle both structured tables and plain text. Avoid splitting that breaks critical information such as table column alignment and field associations. Differences in update frequencies across sources require parsing workflows to support parallel processing of batch tasks and real-time responses. This adapts to document imports with varying update rhythms. Fixed-format statutory inspection documents and equipment ledgers require complete retention of fields and units. Chunk length must match the reasonable length of field groups. Do not split single complete inspection items or spare parts list entries. Sensor data and work orders have strong correlations. Chunking must retain contextual associations. This ensures subsequent retrieval can match complete information for failures and corresponding maintenance records.

Configuration settings

This configuration is based on FastGPT v4.17.0.

Configuration ItemRecommended SettingRationale
chunkSize800–1200 charactersAdapts to the length of structured field groups for equipment ledgers and inspection checklists, avoids splitting single complete inspection items or spare parts list entries
chunkSplitterSplit by title + paragraphAdapts to structural differences across multiple document types, retains the hierarchy of equipment ledgers and logical paragraphs of maintenance work orders
customPdfParseEnabledPreserves table column alignment and formatting in PDF documents such as special equipment inspection records and spare parts lists
PARSE_FILE_TIMEOUT_SECONDS600 secondsAdapts to parsing time for batch documents exported from large-scale EAM systems, prevents task failure due to timeout
UPLOAD_FILE_MAX_SIZE1000 MBAdapts to the size of batch documents exported from large-scale EAM systems, avoids triggering size limits during upload
chunkSettingModeManual modeAllows adjustment of chunking parameters for different document types, supports parent-child chunk configuration, adapts to differentiated structures of inspection checklists and failure analysis

Three common configuration errors

  • Phenomenon: After uploading a DOCX-format inspection checklist, parsed chunks lose table column alignment information. Cause: The customPdfParse configuration is not enabled. The default parsing logic does not retain table structures.
  • Phenomenon: When batch uploading more than 10 documents of different formats, some tasks return timeout errors. Cause: The PARSE_FILE_TIMEOUT_SECONDS parameter is not adjusted. The default short duration cannot complete parsing of large documents.
  • Phenomenon: Unhierarchical continuous plain text appears in the knowledge base chunk list. It is impossible to distinguish between equipment titles and specific inspection items. Cause: The chunkSplitter is not configured to split by title + paragraph. Only fixed character length splitting is used for documents.

How to verify correct configuration

  • Upload a single DOCX file of an equipment inspection checklist. View the parsed chunk list. Confirm that each chunk retains table column alignment and title hierarchy.
  • Batch upload more than 5 documents of different formats, including PDF, DOCX, and TXT. Check that parsing tasks execute in parallel and no batch timeouts occur.
  • View the text content of knowledge base chunks. Confirm that each chunk contains complete equipment fields or work order information, with no truncated field groups.
  • Test the text stream output after knowledge base retrieval. Confirm that it includes formatted hierarchical structure information.

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