What this category of data looks like
Data sources for this category include online composition analysis systems, DCS control systems, laboratories, kiln and grinding equipment, raw material and fuel ledgers, and energy metering devices. Update frequencies cover three categories: real-time, shift-based, and daily. Daily documents include raw material batching plans, kiln operation records, laboratory reports, quality control notices, equipment inspection records, and energy reports. Document fields involve raw material mixing parameters, thermal working condition values, composition detection indicators, and metering data, with units commonly used in industry such as degrees Celsius, megapascals, and tons.
What constraints these characteristics impose on the "document parsing and chunking" link
Documents with different update frequencies correspond to different parsing requirements: real-time kiln operation records require high-frequency parsing, while shift-based and daily ledger documents require batch processing. Format differences across multiple data sources require the parser to adapt to mixed structures of structured tables, text records, and numerical reports. Key parameters in raw material batching plans and laboratory reports must be accurately extracted to avoid truncating associated fields during chunking. The continuity of thermal working condition values requires chunking to retain contextual associations, preventing the loss of the complete logic of the kiln system’s thermal regime after splitting. Metering data for bulk materials must be accurately bound to corresponding ledger entries to ensure traceability to the original source after chunking.
How to Configure the Settings
This configuration follows the parameter specifications for FastGPT v4.17.0. Specific settings are listed below:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | This category of documents includes long-text thermal records and structured parameters. This range preserves complete single operational logic and associated fields |
chunkSplitter | Split by paragraph and table boundaries | This category of documents mixes text and tabular data. Splitting by boundaries avoids truncating table rows and paragraph semantics |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Bulk-uploaded raw material fuel ledgers and energy reports may occupy significant storage space. This upper limit covers conventional bulk upload requirements |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large kiln operation records and laboratory reports requires longer processing time. This duration avoids timeout interruptions |
customPdfParse | Enabled | Most PDF documents in this category are structured reports. A custom parser can accurately extract tables and parameter fields |
chunkSettingMode | Manual configuration | Different document types require differentiated chunking parameters. Manual configuration adapts to the different needs of real-time records and ledgers |
Three Common Misconfigurations
- Issue: File upload parsing returns a 413 status code. Cause: The
UPLOAD_FILE_MAX_SIZEparameter is not configured correctly, exceeding the set file upload limit. - Issue: Imported CSV table data only displays the first two columns. Cause: Corresponding parsing rules for structured tables in this category are not configured, and the default parsing logic truncates subsequent column fields.
- Issue: The external pdf-maker parser cannot function properly after configuration. Cause: The corresponding parser’s key parameters are not correctly set in the system configuration, resulting in parser call failure.
How to Confirm the Configuration is Correct
- Upload a single raw material batching plan PDF, and check if all raw material parameters and explanatory content are fully extracted in the parsed text.
- Import a batch of daily energy report CSV files, and verify that the imported fields cover all preset column items.
- Run a chunking test for a single kiln operation record, and confirm that continuous thermal working condition paragraphs are not truncated after chunking.
- View the system task logs to confirm that parsing tasks do not trigger timeout errors, and that parsing time meets the configured expectations.
The values provided here are common starting points and should be evaluated against the reader’s own samples.