What This Type of Data Entails
It typically covers smelting, electrolysis, laboratory testing, and scheduling departments at copper, aluminum, lead-zinc, and other smelting enterprises. Daily documents include batching lists, smelting logs, electrolytic cell condition logs, laboratory reports, anode and cathode quality records, and environmental protection ledgers. Data sources include concentrate and auxiliary material analysis, DCS systems, cell voltage and current monitoring, laboratory testing, and energy and environmental monitoring equipment.
Update frequency adjusts in real time with each batch of raw materials, each furnace, or each cell operation. Some ledgers are archived on a fixed schedule. Document structures include structured tables, time-series text, numerical parameters, and process descriptions. Fields and units have detailed subdivisions: for example, cell voltage is measured in millivolts, impurity content in parts per million, and metal recovery rate in percentage.
What Constraints Do These Characteristics Impose on the Document Parsing and Chunking Stage?
Multi-source, heterogeneous document types require chunking rules that balance the integrity of structured tables and unstructured text. This avoids splitting cross-furnace process descriptions or complete batching ratios.
Real-time updated operation documents lead to fragmented content in single batch uploads. Chunking boundaries must match single furnace or single cell operation cycles to prevent mixing content across batches.
Detailed fields and units require that complete parameter context is retained after chunking. This prevents situations where numerical values and corresponding process descriptions are separated during retrieval.
Compliance requirements for environmental protection ledgers require retention of associated document metadata. This ensures that operation batches and testing times can be traced after chunking.
Configuration Settings
The following configurations are designed for FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Matches the paragraph length of non-ferrous metal smelting documents with numerical fields, and avoids splitting cross-furnace process descriptions and complete batching ratios |
chunkSplitter | Paragraph + table separation | Matches the mixed structure of batching lists and cell condition logs, and retains the integrity of all fields and corresponding numerical values within tables |
customPdfParse | Enabled | Retains embedded laboratory data tables and cell voltage curve annotations in PDF documents, and avoids losing visualized metadata |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Matches the parsing time required for large smelting logs and batch cell condition logs, and prevents timeout interruptions caused by excessive single-batch content |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports batch uploads of environmental protection ledgers and annual testing records for multiple furnace runs in a single batch |
chunkSettingMode | Manual configuration | Adjusts chunking rules separately for different document types such as laboratory reports, cell condition logs, and environmental protection ledgers to match business field precision requirements |
Three Common Misconfigurations
- Symptom: After uploading a DOCX-format batching list, table cell content is split across multiple chunks. Complete raw material ratios and corresponding batching parameters cannot be matched during retrieval. Cause: The paragraph + table separation chunking rule was not configured. The default character-based splitting breaks the structured integrity of tables.
- Symptom: After uploading a PDF process document with embedded cell voltage curves, the parsed result only retains text content. The original tables and visual charts cannot be viewed. Cause: The
customPdfParseconfiguration was not enabled. The default PDF parsing logic does not retain embedded vector graphics and structured tables. - Symptom: When batch uploading multiple electrolytic cell condition logs, the parsing task terminates early and returns a timeout status code. Cause: The
PARSE_FILE_TIMEOUT_SECONDSconfiguration value is too low, and does not match the parsing time required for large time-series documents.
How to Verify Correct Configuration
- Upload a single DOCX-format batching list. Check that the parsed chunks fully retain each row of batching ratios and raw material names, with no cross-row splitting.
- Upload a PDF process document with embedded tables and curves. Confirm that the parsed result displays the original tables and image content, with no critical information lost.
- Upload a single approximately 100 MB electrolytic cell condition log. Check that the parsing task completes within the configured timeout period, with no timeout errors.
- For different document types such as laboratory reports and environmental protection ledgers, adjust chunking parameters separately. Verify that chunking boundaries match the business paragraphs and operation cycles of the documents.
The values provided are common starting points and should be measured against the reader's own samples.