What data for this category looks like
Data for this category comes from DCS/SIS systems, online analyzers, LIMS laboratory management systems, equipment condition monitoring modules, energy metering devices, and raw material storage tank management modules. Data update frequencies cover real-time, shift-based, and daily. Daily generated documents include operating procedures, process index cards, DCS trend charts, laboratory reports, interlock bypass records, special work permits, and shift logs. Most documents contain fields such as process parameters, equipment status, metered values, and work procedures, and include common industrial units such as MPa, ℃, and t/h.
What constraints do these characteristics impose on the "document parsing and chunking" link
Frequently updated documents require chunking logic to adapt to rapidly evolving business data. This avoids delayed chunking or repeated coverage of valid information. Mixed document scenarios require the parsing module to support multiple formats including plain text, tables, and time-series charts. This ensures complete extraction of core information from all document types. Parameter fields with industrial units require chunking to retain contextual association between parameters and units. This prevents issues where parameters lose their units or units are separated from their associated parameters. Compliance documents such as interlock bypass records and special work permits require chunking to retain complete approval processes and execution details. Critical compliance information must not be split. Time-series documents such as DCS trend charts require chunking to match time-series nodes. This avoids disrupting the coherence of trend logic.
How to configure settings
The following configurations are formulated based on the rules of FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the contextual length of process parameters and work procedures in basic chemical documents, and avoids splitting critical interlock logic |
chunkSplitter | By paragraph + semantic boundary | Supports mixed-format documents, and retains the natural paragraph integrity of process index cards and shift logs |
customPdfParse | Enable structured parsing mode | Adapts to table and chart data extraction for DCS trend charts and laboratory reports, and retains association between fields and units |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Accommodates batch-uploaded shift logs and interlock record documents, and adapts to enterprise high-frequency archiving needs |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Addresses parsing time for large DCS trend documents, and avoids timeout interruptions |
chunkSettingMode | Manual configuration mode | Adjusts chunking parameters for different document types (such as work permits vs. process cards), and covers multiple types of business documents |
Three common errors
- Parsing fails and returns a timeout status code after uploading audio or video files. Cause: No matching parsing rules are configured for basic chemical documents such as process trend charts and work permits. Generic audio-video parsing logic is mistakenly used instead.
- Process parameters and units are separated in chunking results, and fields are left empty. Cause: Structured parsing mode for
customPdfParseis not enabled. Only plain text parsing is used for extraction, which loses unit association information within tables. - Only partial chunks are generated after batch document upload, and the total number of results is insufficient. Cause:
UPLOAD_FILE_MAX_SIZEis not adjusted to accommodate large archived documents. Files exceeding the configured limit are automatically filtered out.
How to confirm correct configuration
- Upload a single typical document, such as an interlock bypass record. Check the integrity of the parsed chunks, and confirm that parameters and units are not split.
- Upload batch archived documents. Verify that the total size of uploaded files does not exceed the configured
UPLOAD_FILE_MAX_SIZElimit, and confirm no files are blocked. - Call the parsing interface. Confirm that the returned chunk data contains complete work procedure or process index contextual information, with no missing fields.
- View parsing logs. Confirm that parsing time does not exceed the configured
PARSE_FILE_TIMEOUT_SECONDSthreshold, and no timeout errors occur.
The values listed here are common starting points, and should be evaluated against the target organization’s own sample documents.