Equipment Inspection and Maintenance Q&A for Metal Cutting Machining: Document Parsing and Chunking

Data related to equipment inspection and maintenance for metal cutting machining covers process routes, operation cards, tool lists, CNC programs

What data for this category looks like

Data related to equipment inspection and maintenance for metal cutting machining covers process routes, operation cards, tool lists, CNC programs, first-piece inspection records, patrol inspection forms, and measuring tool calibration records from machine shops and precision parts factories. Data sources include product drawings and 3D models, CAPP/CAM systems, machine tool collection terminals, tool management systems, MES systems, and measuring tool data. Updates trigger per work order, each workpiece processing, spot check, or tool change. Specific fields include CNC program code, tool wear amount, process dimension tolerances, and calibration cycles. Units include millimeters, hours, revolutions per minute, and others.

Constraints on document parsing and chunking

Documents for metal cutting machining have diverse types and significant structural differences. Structured content includes operation cards and tool lists. Long-text content includes CNC programs and patrol inspection records. The document parsing and chunking link must adapt to splitting logic for different formats. Data updates occur frequently, and are linked to work orders and tool status. Chunking must support dynamic boundary adjustments based on business nodes to avoid splitting key process parameters. The data includes high-precision dimensions and code fields. The parsing process must retain original formats and field integrity to prevent parameter breaks or loss during chunking. Format differences across multiple data sources require the parsing link to support document encodings and layout styles exported by different systems.

How to Set Configurations

Configuration ItemRecommended SettingRationale
chunkSize800–1200 charactersAdapts to the text length of CNC programs and operation cards, avoids splitting critical G-code or dimension parameters
chunkSplitterSemantic chunkingAdapts to structured content such as process routes and patrol inspection forms, retains the integrity of processes and logical nodes
PARSE_FILE_TIMEOUT_SECONDS600 secondsAddresses parsing time for large CNC programs and multi-page complete workshop process documents
UPLOAD_FILE_MAX_SIZE1000 MBCompatibility with large machine tool collection logs and complete batch process document packages
customPdfParseEnable text layer-first parsingAdapts to PDF process documents with embedded CNC programs, avoids code format loss caused by OCR recognition
chunkSettingModeManual configurationAdjusts chunking rules separately for different document types (such as CNC programs and patrol inspection forms) to adapt to business differences

Three Common Mistakes

  • Phenomenon: After deploying FastGPT v4.17.0 on a server, uploading a file returns a 404 error, and the document parsing node cannot read file content. Cause: The server storage path for uploaded files is not configured correctly, resulting in a mismatch between the local development path and the actual server storage path.
  • Phenomenon: When parsing PDF process documents with embedded CNC programs, the extracted G-code fields are empty or have messy formatting. Cause: Text layer-first parsing for customPdfParse is not enabled, using OCR recognition instead leads to missing or misaligned code characters.
  • Phenomenon: After batch uploading tool list documents, the chunking results show cross-process content concatenation, and splitting by work order is not possible. Cause: chunkSplitter is configured for fixed character chunking, not semantic chunking, leading to interrupted logical nodes.

How to Verify Correct Configuration

  • Upload a single 100 MB CNC program document, check that the file content returned by the parsing node is not truncated, and key parameters are complete.
  • Upload a process PDF document with embedded text, verify that the parsing result includes complete fields such as G-code and tool wear amount.
  • Upload a test file in the server environment, confirm that the status code returned by the parsing node is 200 and the content can be read normally.
  • For different types of documents (such as operation cards and patrol inspection forms), adjust chunkSize separately and verify the logical integrity of the chunking results, with no key parameters split.

The values provided are common starting points and should be measured against relevant operational samples.