Spraying and Coating Equipment Inspection and Maintenance Q&A: Document Parsing and Chunking

Data sources for this category include coating supplier TDS/SDS, spray booth and oven operating data, data collected by colorimeters and film

What This Category of Data Looks Like

Data sources for this category include coating supplier TDS/SDS, spray booth and oven operating data, data collected by colorimeters and film thickness gauges, environmental monitoring records, and MES system data. Daily documents cover coating process cards, coating batch sheets, paint mixing records, film thickness and color difference reports, oven curves, defect repair sheets, and VOCs ledgers. Data is updated per coating batch, per shift, and via continuous collection. Documents include specialized fields and units such as film thickness (μm), color difference ΔE, oven temperature (℃), and VOCs concentration (mg/m³).

What Constraints Do These Characteristics Impose on Document Parsing and Chunking?

The multi-source, heterogeneous data characteristics of this category impose multiple constraints on document parsing and chunking. Critical time windows must not be truncated for continuously collected real-time data from spray booths and ovens. Otherwise, the associated logic of pre-treatment, spraying, and curing windows cannot be matched. Coating documents updated per batch must be chunked and associated by batch number, to ensure that corresponding paint mixing records and defect repair sheets can be linked during retrieval. Specialized fields such as film thickness (μm) and color difference ΔE must retain their unit associations. Otherwise, fields may be separated from their values after chunking, affecting accurate matching for maintenance Q&A. Compliance documents such as VOCs ledgers must retain full clause context, to avoid losing management requirements after splitting.

Configuration Settings

These configurations are based on FastGPT v4.17.0.

Configuration ItemRecommended ValueRationale
chunkSize800–1200 charactersAdapts to the single-section logical length of documents such as coating process cards and oven curves, retaining process-related context
chunkSplitterParagraph + semantic splittingAdapts to multiple document types, avoiding splitting complete operational steps in paint mixing records and defect repair sheets
PARSE_FILE_TIMEOUT_SECONDS600 secondsCovers parsing time for large files such as oven curves and continuously collected data
customPdfParseEnable table parsing modeAdapts to structured table data in coating batch sheets and film thickness and color difference reports, retaining field correspondence
UPLOAD_FILE_MAX_SIZE1000 MBSupports bulk import of multi-batch coating documents and continuously collected sensor data files
chunkSettingModeManual configurationAdjust chunking parameters for different document types (such as ledgers and real-time data) to match business retrieval needs

Three Common Configuration Mistakes

  • Symptom: After importing coating batch sheets and film thickness and color difference reports in Excel format, the correspondence between table fields in the knowledge base fails, and matching values cannot be retrieved. Cause: The table parsing mode of customPdfParse is not enabled, and the default parsing logic does not retain the association between table columns and content.
  • Symptom: The structured table of the oven curve displays correctly in the knowledge base preview, but the table content is not output when generating maintenance Q&A. Cause: The chunkSize setting is too small, splitting complete table rows into multiple chunks, making it impossible to retrieve the complete table context during retrieval.
  • Symptom: After uploading locally split coating documents to the server, the matching accuracy of retrieval results does not meet expectations when different vector models are used. Cause: The platform's unified chunking logic is not used, and different splitting standards result in mismatched chunks and vector embeddings.

How to Verify Successful Configuration

  • Upload a single coating batch sheet Excel file, check whether the correspondence between table columns and content in the knowledge base preview is complete.
  • Import a single oven curve PDF file, verify whether the generated maintenance Q&A includes complete temperature curve paragraphs or table content.
  • Upload multi-batch paint mixing record documents, confirm that retrieval can link corresponding process cards and repair sheets by batch number.
  • Test different types of documents (such as VOCs ledgers and film thickness reports) to verify whether the chunking logic adapts to the structural characteristics of each document.

The values provided are common starting points and should be evaluated against corresponding samples.