What this category of data looks like
Data for coal chemical industry business process guidance comes primarily from four sources: on-site equipment operation and maintenance logs, process operation specifications, safety approval forms, and monthly production reports. Update frequency varies significantly by business type: equipment operation and maintenance logs are updated per shift, process specifications are revised annually, safety approval forms are generated per individual business transaction, and monthly production reports are updated per calendar month. Document structures include structured CSV tables (such as equipment parameter sheets), long-text PDFs (such as full-process process manuals), and fixed-field forms (such as hot work approval slips). Fields include equipment ID, process parameters, and timestamps, with units mostly industrial standard units such as MPa, t/h, and m³.
Constraints on Document Parsing and Chunking
The long-text nature of coal chemical industry documents requires that chunking does not over-split technical logic, to avoid breaking the relevance of process nodes. Structured CSV tables with fixed field formats require parsing tools to preserve column relationships; otherwise, parameters and units will become separated. The presence of specialized industrial terms and units requires parsing processes to retain format details, otherwise subsequent retrieval accuracy will be compromised. Large-volume monthly production reports uploaded in batches require the system to support larger single-file upload limits and longer parsing timeouts. Scattered approval form documents require chunking logic to adapt to the complete process of a single business, and must not split content across multiple businesses.
How to Configure
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chunkSize | 1000–1500 characters | Adapts to the paragraph length of coal chemical industry long-text process documents, avoids splitting that breaks process logic |
chunkSplitter | Split by paragraph + heading | Preserves the hierarchical structure of documents, adapts to chapter divisions of process specifications |
PARSE_FILE_TIMEOUT_SECONDS | 1200 seconds | Supports complete parsing of single large-scale process specification PDF files |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Meets the volume requirements for batch uploading collections of monthly production reports |
customPdfParse | Enabled | Retains tables, formulas, and specialized unit formats in coal chemical industry documents |
| Third-party document parsing integration | Integrate with minerU | Improves parsing accuracy for specialized industrial terms and formats in coal chemical industry |
chunkSettingMode | Manual configuration | Adjust chunking parameters for different document types (reports, specifications, approval forms) |
Three Common Configuration Mistakes
- Total chunk count exceeds 3000 after chunking, and an index exception prompt appears on the interface. The cause is that a reasonable
chunkSizewas not configured for long coal chemical industry documents, and the number of chunks split from a single file exceeds the system default threshold. - CSV file parsing errors occur after upgrading FastGPT v4.17.0. The cause is that the parsing logic for structured documents was updated in the new version, and failing to reconfigure
UPLOAD_FILE_MAX_SIZEresults in failed uploads of large-volume CSV files. - Parsed chunks lose unit information for equipment parameters. The cause is that
customPdfParsewas not enabled, and the default parsing mode cannot retain specialized unit formats such as MPa, t/h in coal chemical industry documents.
How to Verify Successful Configuration
- Upload a single process specification PDF with more than 500 pages, review the parsed chunk list, and confirm that each chunk contains a complete process node description.
- Check the backend upload configuration items, and confirm that
UPLOAD_FILE_MAX_SIZEis set to meet the maximum volume requirements of currently uploaded documents. - Import a CSV report containing equipment parameters and units, and verify that the parsed chunks retain all column relationships and unit information.
- Run a batch parsing test, and confirm that the parsing time of a single document does not exceed the threshold set by
PARSE_FILE_TIMEOUT_SECONDS. - View the integration logs of the third-party parsing tool, and confirm that the minerU integration configuration has taken effect.
The values provided here are common starting points, and should be evaluated against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.