What data looks like for this category
This category covers electrode, assembly, formation, and quality departments at power, energy storage, and consumer lithium-ion cell manufacturing enterprises. Daily documents include batching records, coating and rolling parameters, winding or lamination logs, liquid injection records, formation and grading data, OCV and safety test reports. Data comes from raw material batch ledgers, MES systems, slurry and coating testing equipment, dew point monitoring devices, formation and grading cabinets, and laboratory data. Update frequencies run per batch, per individual cell, or in real time. Most documents include numeric fields paired with specialized units, such as coating thickness, dew point temperature, and internal resistance parameters.
What constraints these characteristics impose on document parsing and chunking
High-frequency real-time updates demand low-latency processing in the parsing step, to avoid delays that hurt process quality audit timeliness. Multi-source, heterogeneous document types — including structured tables and unstructured test reports — require parsing rules that support different formats. Single records have strong field correlations. For example, coating parameters link causally to later formation and grading data. Chunking must preserve contextual connections between adjacent fields to avoid breaking data logic after splitting. Electrochemical systems have strict data accuracy requirements. Parsing must retain the binding between fields and their matching units to prevent critical information loss.
How to configure settings
These configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Single process records for lithium-ion cell manufacturing include multiple linked parameter sets. This character range preserves full data for one process set, avoiding lost contextual connections during splitting |
chunkSplitter | Mixed chunking by table row + paragraph boundaries | Daily documents mix structured tables and unstructured paragraphs. Mixed chunking balances parsing integrity for both document types |
PARSE_FILE_TIMEOUT_SECONDS | 60–120 seconds | Real-time production data and batch test reports need parsing within a reasonable window. This range meets timeliness needs for high-frequency tasks |
UPLOAD_FILE_MAX_SIZE | 500 MB | Supports uploading single-batch raw material ledgers or batch formation and grading data, covering daily batch audit document size requirements for enterprises |
customPdfParse | Enable structured parsing mode | OCV and safety test reports are mostly tabular structured documents. This mode accurately extracts the binding between fields and their matching units |
chunkSettingMode | Manual configuration | Document structures vary widely across lithium-ion cell manufacturing workflows. Manual configuration lets teams flexibly adjust chunking rules for different document types |
Three common configuration errors
- When uploading a multi-row XLSX table document, some fields appear empty in the parsing result. No targeted chunking rules are set for structured tables, leading to incorrect splitting of multi-row tables and lost field association links.
- A "the argument ‘windows-1252’ is invalid encoding" error appears during PDF parsing. No matching encoding parsing rules are configured, and the document includes characters not encoded in UTF-8, causing parsing failure.
- Parsing tasks fail mid-process when uploading multiple large documents in bulk. The
PARSE_FILE_TIMEOUT_SECONDSparameter is not set to a reasonable range, so bulk document parsing time exceeds the default threshold.
How to confirm correct configuration
- Upload a single typical document, such as a coating and rolling parameter table. Check the number of parsed chunks and field completeness, then adjust
chunkSizeto match business needs. - Upload a mixed document package with multiple formats. Verify that parsing results for all document types retain the binding between fields and their units, and confirm
customPdfParseworks as intended. - Upload preset-sized documents in bulk. Check parsing task completion status, then adjust
UPLOAD_FILE_MAX_SIZEandPARSE_FILE_TIMEOUT_SECONDSto fit bulk processing needs. - Review system environment variable settings. Confirm custom interface configurations for file parsing are correct, to match access requirements for internal enterprise data sources.
The values provided are common starting points and should be measured against the reader's own samples.