What this category of data looks like
This category of data covers daily production support documents from manufacturing enterprise equipment departments, maintenance teams, and public utility departments. These include equipment ledgers, inspection checklists, maintenance plans, work orders, failure analysis, spare parts lists, and special equipment inspection records. Data sources include EAM/CMMS systems, equipment sensor data, operator inspection records, maintenance history, spare parts inventory, and statutory inspection information. Update frequencies cover shifts, daily, weekly, monthly, and upon failure occurrence. Documents contain fields such as equipment number, inspection items, parameter thresholds, spare part models, and inspection dates. Some content uses specialized units like millimeters, pascals, and operating hours.
What constraints these characteristics impose on the document parsing and chunking link
Documents in this category have a mixed format of structured tables, semi-structured work orders, and free-text analysis reports. Some documents also include sensor data or inspection records with embedded images. This creates multiple constraints for parsing and chunking. High-frequency updated inspection checklists and work orders require fast parsing to avoid impacting the daily inspection efficiency of teams. Parameter fields with specialized units need to retain contextual associations, to prevent losing the correspondence between parameters and thresholds after chunking. Emergency document parsing requirements upon failure demand configurations with low-latency batch processing capabilities. Statutory inspection records must retain all content completely, so critical information is not broken due to chunking rules.
How to set the configuration
This configuration applies to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the mixed-format documents of this category, retains the association between inspection items, parameter thresholds, and spare parts information |
chunkSplitter | Auto-adapt by document type | Balances table splitting for structured inspection checklists and semantic chunking for free-text failure analysis |
customPdfParse | Enabled | Processes PDFs of equipment sensor data and special equipment inspection records with embedded images, extracts text within images |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Matches the parsing time of batch documents exported from large EAM systems, avoids timeout failures |
chunkSettingMode | Manual configuration | Adjusts chunk boundaries for structured data in inspection checklists, prevents cutting off complete information of a single inspection record |
Three common errors
- Issue: After uploading an equipment inspection PDF with embedded images, the parsed result does not include the text content within the images. Cause: The
customPdfParseconfiguration is not enabled. The default parsing only extracts native PDF text and does not process embedded images. - Issue: When asking for a spare part model and its corresponding replacement cycle, the answer only returns partial fields. Cause: The
chunkSizesetting is too small, which cuts off the contextual association between the spare part model and replacement cycle during chunking. - Issue: When batch uploading more than 10 Excel documents exported from EAM systems, the parsing task returns a timeout error. Cause: The
PARSE_FILE_TIMEOUT_SECONDSsetting is lower than the actual parsing time of the batch documents.
How to verify the configuration is properly set
- Upload a PDF of special equipment inspection records with embedded images, check if the parsed result includes the inspection date and qualified judgment fields within the images.
- Upload a structured inspection checklist Excel file, verify that the chunking results retain the complete combination of equipment number, inspection content, and parameter thresholds for a single inspection item.
- Upload a single EAM exported document of around 10 MB, check if the parsing task completes within 120 seconds and returns valid content.
- Adjust
chunkSizeto 1000 characters, ask about adjacent equipment operating parameters and inspection frequency, verify that the returned results include complete associated information.
The values provided are common starting points and should be measured against the reader's own samples.