What the data for this category looks like
Air pollution control research report data mainly comes from publicly available monitoring bulletins issued by ecological environment departments, annual analysis reports from industry associations, research papers from research institutions, monitoring statements from pollutant discharging enterprises, and segmented environmental protection industry research reports released by financial institutions. Update cycles cover monthly routine monitoring, quarterly industry updates, annual comprehensive summaries, and ad-hoc special reports. Documents include modules such as monitoring site details, pollutant concentration data, governance plans, and cost calculations. Fields include site number, pollutant concentration (unit: μg/m³), emission reduction amount (unit: ton), and equipment operating duration (unit: hour). Some reports retain original statements as scanned files.
What constraints do these characteristics impose on the document parsing and chunking link
Diverse data sources result in mixed document formats, including plain text PDFs, Word documents, and scanned image files. This requires adapting to different parsing logic. Wide variation in update cycles exists: from short, few-page special reports to hundreds-page annual research reports. This demands flexibility in chunk length. Fields include clear units and structurally associated information, such as sites bound to their corresponding concentrations. Splitting associated content during chunking will damage data integrity. Some reports contain large volumes of tabular monitoring data. This requires retaining row and column associations within tables to avoid data misalignment after parsing.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 1200 seconds | Air pollution control research reports often contain multi-page monitoring tables and long-text analysis. The default timeout duration cannot cover the complete parsing process |
maxChunkSize | 800–1200 characters | Balances the integrity of structured data and the relevance of retrieval context, adapting to the mixed content structure of technical analysis and monitoring data in research reports |
OCR_ENABLED | Enabled | Covers the text extraction requirements for scanned original monitoring reports, avoiding data loss caused by image formats |
CHUNK_OVERLAP_RATE | 10–15% | Retains the contextual association between monitoring data and preceding/following analysis content, preventing breakage of associated information after chunking |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Supports uploading large annual research reports containing multi-year historical monitoring data, meeting the requirements for full-data retrieval |
RECALL_CHUNK_NUM | Top 6–8 entries | Matches the professional content density of air pollution control research reports, providing sufficient context to support accurate question answering |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Parsed scanned research reports have empty text fields, only showing image placeholders. The cause is that the
OCR_ENABLEDconfiguration is not enabled, making it impossible to recognize monitoring data and text content within scanned pages. - An error
504 Gateway Timeoutoccurs when parsing large research reports, and task logs show parsing timeout. The cause is that thePARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted, and the default timeout duration is insufficient to process multi-page complex documents. - Monitoring sites and their corresponding concentration data are displayed separately in search results, unable to form a complete analytical logic. The cause is that
maxChunkSizeis set too small, orCHUNK_OVERLAP_RATEis insufficient, leading to breakage of associated content during chunking.
How to confirm the configuration is correct
- Upload a typical air pollution control research report containing scanned pages, structured tables, and long-text analysis, then check the complete parsed content to confirm that all pages and data are correctly extracted.
- Launch a targeted retrieval test, enter a query containing site and pollutant type, then verify whether the returned results simultaneously contain associated monitoring data and analysis content.
- View the detailed logs of the parsing task, confirm that the
PARSE_FILE_TIMEOUT_SECONDSparameter has taken effect, and there are no timeout-related error messages. - Conduct multiple rounds of tests by adjusting the
maxChunkSizeparameter, compare retrieval recall effects under different values, and select the configuration that fits the business scenario.
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.