Data Profile for This Category
Data sources for this category include EAM/CMMS systems, equipment sensor data, operator inspection records, maintenance history archives, spare parts inventory lists, and special equipment inspection records. Data update cycles cover shift-based inspection submissions, daily/weekly/monthly maintenance plan releases, and immediate reporting when faults occur. Daily documents include structured equipment ledgers, inspection forms, and spare parts lists; semi-structured maintenance plans and work orders; and unstructured fault analysis reports. Fields include equipment number, inspection time, measured parameters, qualified thresholds, work order number, spare part model, and others. Some parameters have dedicated units such as MPa, ℃, and operating hours.
Constraints for Document Parsing and Chunking
Multiple sources and formats of data require the parsing process to adapt to structured tables, semi-structured forms, and unstructured text simultaneously, to avoid splitting associated fields from the same inspection record. Scenarios with high-frequency updates require the parsing process to have low latency, so that overall ledger summary progress is not delayed by single-document parsing timeouts. Dedicated fields and units for equipment documents require retaining contextual associations during chunking, to ensure accurate matching of equipment numbers and corresponding inspection results during subsequent ledger summary. The presence of long documents such as special equipment inspection records requires the parsing process to have sufficient timeout fault tolerance, to avoid parsing failure due to overly long documents.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the field density of single documents such as equipment inspection forms and work orders, avoiding splitting associated content from the same inspection record |
chunkSplitter | Split by semantic meaning and table boundaries | Adapts to multi-format document structures, retaining column associations for EAM ledgers and spare parts lists |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Addresses parsing time for long documents such as batch-uploaded special equipment inspection records |
customPdfParse | Enable structured table parsing | Adapts to PDF-format equipment ledgers and inspection forms exported from EAM, retaining original table field structures |
UPLOAD_FILE_MAX_SIZE | 100 MB | Accommodates batch files for monthly inspection summaries and quarterly work orders in a single batch |
chunkSettingMode | Manual configuration | Adjust chunking rules for the fixed field structure of equipment-related documents |
Three Common Misconfigurations
- Phenomenon: After uploading batch inspection form PDFs, the parsing node becomes unresponsive, and logs show timeout errors. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted, so long document parsing exceeded the default time limit. - Phenomenon: Parsed chunked content loses fields such as spare part model and inventory quantity. Cause: Structured table parsing in
customPdfParsewas not enabled, causing spare parts list tables in PDFs to be incorrectly split into unstructured text. - Phenomenon: Fault description and processing records from a single work order are split into multiple unrelated chunks. Cause:
chunkSizewas set too small, splitting associated contextual content from the same work order.
How to Verify Proper Configuration
This verification is based on FastGPT v4.17.0.
- Upload a single typical document (such as an equipment inspection form), verify that chunks retain the complete content of the same inspection record, and adjust
chunkSizeuntil associated fields are not split. - Upload batch monthly inspection summary files, confirm that parsing time does not exceed the preset
PARSE_FILE_TIMEOUT_SECONDS, and no timeout error prompts appear. - Check that the total size of uploaded files is within the range specified by
UPLOAD_FILE_MAX_SIZE, with no upload failures or file truncation prompts. - Import a structured EAM ledger table, confirm that parsed fields are complete and not missing, with no field misalignment or loss.
The values provided are common starting points and should be evaluated against the reader's own samples.