What the data for this category looks like
Financial report data for the construction machinery industry mainly comes from periodic reports of listed companies, monthly monitoring reports of industry associations, and internal operation ledgers of leasing enterprises. Core update cycles are quarterly, semi-annually, and annually. Industry monitoring reports are updated at a higher frequency.
Document structures include general financial report modules and category-specific fields. General modules cover balance sheets, income statements, and cash flow statements. Category-specific fields include equipment inventory, unit hour rate, revenue per unit of equipment, engine power, rental duration, and more. Units include units, yuan/hour, year, kilowatt, hour, and other detailed measurement items. Some tables contain multi-dimensional nested sub-items.
What constraints do these characteristics impose on the document parsing and chunking step
The multi-nested table structure of construction machinery financial reports can cause general parsing engines to lose hierarchical relationships. Targeted adjustments are needed to preserve the parent-child relationships of tables. The diversity of category-specific fields requires precise matching of field names during parsing, and general templates must not be used to avoid field confusion.
High-frequency document batches increase resource usage for single-task parsing, so the number of documents per task must be controlled. The scattered nature of equipment classification data requires splitting chunks by equipment type or report chapter to avoid mixed cross-category data that reduces retrieval accuracy. Some fields have composite units, so fields and units must be bound during parsing to prevent unit loss during subsequent retrieval.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_TABLE_NESTED_DEPTH | 3–5 layers | Table nesting in construction machinery financial reports typically does not exceed 5 layers. Retaining this depth fully restores table structure |
CHUNK_SEGMENT_MODE | By chapter + field classification | Chunks must be split by financial report chapters and equipment types to avoid mixed cross-category data |
OCR_LANGUAGE_TYPE | zh+en mixed mode | Some imported construction machinery financial reports include English parameters, so both Chinese and English content must be recognized |
PARSE_FILE_TIMEOUT_SECONDS | 120–180 seconds | Parsing large construction machinery financial report documents takes longer. This range covers most scenarios |
MAX_CHUNK_SIZE | 800–1000 characters | Balances retrieval accuracy and context integrity, adapting to the information density of financial report fields |
UPLOAD_BATCH_MAX_COUNT | 5–8 documents/task | Controls single-task resource usage for high-frequency updated financial reports to avoid parsing timeouts |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: Core fields in the parsing result are empty after uploading a single construction machinery financial report PDF. Cause: The
PARSE_TABLE_NESTED_DEPTHparameter is not configured to match the document's nesting level. The default parameter cannot parse deeply nested tables. - Symptom: Garbled Chinese characters appear in the parsing result. Cause:
OCR_LANGUAGE_TYPEis not configured tozh+en mixed mode. Using only single-language recognition causes garbled Chinese parameters. - Symptom: After importing an Excel-format financial report table dataset, retrieval cannot match the corresponding business fields. Cause: The
TABLE_FIELD_MAPPING_ENABLEparameter is not enabled, and no association is established between the original table and retrieval fields.
How to confirm the configuration is correct
- Upload a single construction machinery financial report PDF, check if the table hierarchy in the parsing result is complete, and adjust
PARSE_TABLE_NESTED_DEPTHto match the actual nesting level of the document. - Import an Excel-format financial report table, verify that retrieval can accurately recall results by equipment type and revenue fields, and confirm that the
TABLE_FIELD_MAPPING_ENABLEparameter is enabled. - Trigger a batch parsing task, monitor whether task duration meets expectations, and adjust
UPLOAD_BATCH_MAX_COUNTandPARSE_FILE_TIMEOUT_SECONDSto values suitable for the scenario. - Generate a test retrieval request, verify that the output result retains complete tables and field units, and confirm that
CHUNK_SEGMENT_MODEdoes not split core business data across chapters.
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.