What the data for this category looks like
Data sources for solid waste treatment intelligent due diligence reports include enterprise solid waste disposal ledgers, environmental impact assessment (EIA) approval documents, third-party hazardous waste testing reports, haulage record documents, and self-declared management reports. Data update rhythm varies by business scenario: monthly haulage ledgers are updated monthly, EIA reports are updated with project cycles, and batch testing reports are updated upon completion of testing tasks. Document formats include structured Excel spreadsheets, long-text analysis chapters, and paper scanning documents. Fields covered include hazardous waste category codes, production and disposal volumes (units: tons, kilograms, or mg/kg), disposal methods, information on generating and disposing entities, and business occurrence dates.
What constraints do these characteristics impose on the "document parsing and chunking" link
The multi-format nature of solid waste treatment documents creates multiple parsing and chunking constraints. Paper scanning documents require text extraction via OCR, and must support recognition of Chinese and hazardous waste professional English codes. Structured spreadsheets must retain row-column correspondence to avoid disordered fields after splitting. Long-text EIA reports must be split by business chapters to prevent merging and chunking of cross-chapter solid waste data. Batch-imported monthly ledgers must support batch parsing, and must be split by batch dimension to ensure accurate matching of single-batch business data during retrieval.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxChunkSize | 800–1200 characters | Solid waste due diligence documents often contain detailed tables and technical terms. Excessively long chunks lose field associations, while excessively short chunks damage the integrity of business logic |
chunkOverlap | 100–150 characters | Retain associated fields such as cross-chunk hazardous waste codes and disposal dates to avoid context breaks during retrieval |
OCR_ENABLED | Enabled | Most solid waste ledgers exist as paper scans, requiring OCR to extract text content |
OCR_LANGUAGE | chi_sim+eng | Solid waste documents contain Chinese technical terms and English hazardous waste standard codes, requiring simultaneous support for Chinese and English recognition |
PARSE_TABLE_STRUCTURE | Retain original table structure | Table data such as haulage volume and disposal volume in solid waste documents must retain row-column correspondence to avoid disordered fields after parsing |
PARSE_TIMEOUT | 300 seconds | Parsing a single large EIA report or batch ledgers requires sufficient time to avoid mid-parsing timeout interruptions |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. Testing against sample documents specific to the deployment is recommended before finalizing configuration values.
Three common configuration errors
- Phenomenon: Garbled Chinese characters appear after OCR parsing, with no obvious errors in logs. Cause:
OCR_LANGUAGEis not configured to support Chinese parameters, or corresponding language OCR training data is not installed. - Phenomenon: After importing an Excel spreadsheet dataset, retrieval results cannot match field association content within the table. Cause: The
PARSE_TABLE_STRUCTUREparameter is not enabled, causing the table to be parsed as plain text and losing row-column correspondence. - Phenomenon: Tables display normally in the knowledge base preview, but no table content is output when generating responses. Cause: Table structure is not retained during parsing, only plain text content is extracted, making the generation stage unable to recognize the table format.
How to confirm correct configuration
- Upload a single paper-scanned solid waste haulage record, review the parsed text content to confirm no Chinese garbled characters, and verify that the OCR language configuration matches the document language.
- Upload an Excel solid waste ledger containing detailed tables, review the parsed knowledge base preview content to confirm that row-column correspondence of the table is not lost.
- Upload a long solid waste EIA chapter text, review the chunking results to confirm that chunk boundaries do not damage business logic associations. Adjust chunking parameters based on document content as needed.
- Upload the maximum allowed single document, wait for parsing to complete, confirm no timeout errors occur, and verify the reasonableness of the parsing timeout configuration.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.