What the Data for This Category Looks Like
Lithium-ion cell manufacturing inspection and process record data originates from raw material batch ledgers, Manufacturing Execution Systems (MES), online testing equipment for slurry and coating, workshop dew point monitoring systems, formation and grading cabinets, and laboratory test reports. Documents contain batching ratio parameters, coating and rolling process records, winding and lamination process ledgers, liquid injection volume data, formation and grading curves, OCV and safety test results, and more. Updates are generated in real time per production batch or individual cell. Single-batch documents feature a combination of multi-page structured tables and time-series curves, scaled to production volume.
Constraints Imposed on Document Parsing and Chunking
The high-frequency real-time updates and mixed-format characteristics of this category’s documents create multiple constraints for the parsing and chunking stage. Documents combining multi-page structured tables and time-series curves require retaining relational links between fields, to avoid splitting parameter groups across processes. Large single-batch documents generated in real time require sufficient parsing duration and file upload limits. Electrochemical processes have high parameter precision requirements; chunking must avoid breaking the complete data context of a single process, as this will compromise information integrity for subsequent audit steps.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Lithium-ion cell documents contain multi-field parameters and short time-series data. This range preserves the complete context of single-process parameter groups, avoiding splitting content across correlated parameters |
chunkSplitter | Split by paragraph + table row | Documents mix structured tables (batching, test records) and paragraph descriptions (process requirements). This setting retains field integrity within table rows and paragraph logic |
PARSE_FILE_TIMEOUT_SECONDS | 120–180 seconds | Parsing single-batch multi-page documents requires sufficient time to load full content, preventing timeout interruptions for frequently updated large files |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Multi-page summary documents for large production batches may reach significant volume, supporting bulk document upload requirements |
customPdfParse | Enable structured parsing mode | Documents include time-series curves and tabular data. Structured parsing preserves field relational links, improving chunking accuracy |
chunkSettingMode | Manual configuration | Chunking rules must be adjusted for the mixed format of cell manufacturing documents, avoiding generic modes that split critical parameter groups |
Three Common Configuration Mistakes
- Scenario: An error occurs when calling the parsing tool to process a hundreds-page production summary PDF, while small-page documents parse normally. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted. The default timeout threshold is insufficient to complete full loading and parsing of multi-page documents. - Scenario: After a locally deployed PDF parsing tool starts, the page throws a Cannot read properties of undefined error. Cause: The parsing mode adapted to structured documents was not enabled, or the parsing configuration did not match the mixed format (tables + time-series curves) of lithium-ion cell documents.
- Scenario: The chunking result contains large amounts of duplicate content, or the number of recalled files does not match expectations. Cause: Chunking rules were not adjusted for the field correlation of cell documents, generic chunk overlap ratios were incorrectly set, or recall parameters were not configured to match the batch update rhythm of documents.
How to Verify Proper Configuration
- Upload a single-batch cell production document with 50 or more pages, verify that parsing completes within the time set by
PARSE_FILE_TIMEOUT_SECONDS, with no timeout errors. - Randomly sample chunking results, check that correlated fields between table rows and time-series curves were not split, and that complete process parameter groups are retained.
- After adjusting chunking parameters, compare the number of chunks across different
chunkSizevalues, confirm that the count aligns with the document’s structural logic, with no cross-parameter splitting. - In FastGPT v4.17.0, confirm that the
customPdfParseconfiguration item is set to enable structured parsing mode, to support parsing of mixed-format documents.
The values provided are common starting points and should be measured against the reader's own samples.