What data for this category looks like
Data for air pollution control marketing primarily comes from environmental impact assessment (EIA) approval documents, emission reduction project cases, pollutant monitoring reports, industry policy guidelines, and equipment technical manuals. Update cadence varies by scenario:
- Policy documents are updated quarterly or annually
- Project cases are updated irregularly as projects are implemented
- Monitoring reports are generated daily or weekly
Documents include long-form technical paragraphs, structured tables, and standardized fields. Fields cover pollutant types such as PM2.5, VOCs, emission limits, treatment efficiency parameters, equipment models, and more. Most units use industry standard units such as mg/m³, t/a.
Constraints on document parsing and chunking from these characteristics
Structured tables with dense numerical data may be misidentified as plain text by general parsing logic. This leads to lost fields or chaotic chunk splitting. Long-form technical paragraphs and policy clauses often use fixed hierarchical heading structures. Splitting by character length will break content integrity. Field formats vary widely across different documents. Custom separators are required for accurate single-record splitting. Large documents such as annual emission summary reports contain many cross-page tables and long paragraphs. Parsing time is significantly longer than for general category documents. This often triggers timeout limits.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Air pollution control related documents often contain large numbers of cross-page tables and long-form technical plans. General parsing takes longer. This duration covers the parsing needs of most complex documents. |
Chunk Length | 800–1200 characters | The length of technical parameter paragraphs and project description paragraphs in air pollution control documents varies widely. This range balances content integrity and retrieval accuracy. |
Custom Separator | \n | Excel monitoring data in air pollution control marketing documents often uses line breaks as single-record separators. This enables one-record-per-line splitting. |
UPLOAD_FILE_MAX_SIZE | 20 MB | Single air pollution control project reports often reach tens of megabytes. Raising the upload upper limit prevents large file upload failures. |
Number of Retrieved Results | Top 6–8 results | Retrieval needs for air pollution control often focus on specific equipment parameters or policy clauses. A small number of retrieved results improves matching accuracy. |
Similarity Threshold | 0.70–0.80 | Similar pollutant treatment solutions and general environmental protection policy content must be distinguished. This prevents irrelevant retrieved results from interfering with retrieval outcomes. |
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 specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common errors
- Phenomenon: Multiple lines of monitoring data imported from Excel are merged into a single paragraph. Single-record retrieval is not possible. Cause: Custom separator settings are not enabled, or the separator configuration does not match the line break rules in the document.
- Phenomenon: A
504 Gateway Timeouterror occurs when parsing Word project reports larger than 10 MB. Cause: ThePARSE_FILE_TIMEOUT_SECONDSconfiguration value is lower than the actual document parsing time. It does not adapt to the complex structure of air pollution control documents. - Phenomenon: Pollutant concentration values are lost after parsing uploaded EIA report PDFs. Cause: Structured parsing switches for table content are not enabled. Dense numerical tables are misidentified as plain text.
How to confirm correct configuration
- Upload a single air pollution control project document of around 10 MB. After the parsing progress bar completes, check that table content in the parsing result retains complete numerical values and units.
- Upload an Excel monitoring report with multiple lines of data. After configuring the custom separator, check that chunked results are split into single records per line.
- Run a retrieval test. Enter specific pollutant treatment parameters. Check that the paragraph length and field matching rate of retrieved results meet expectations.
- Check background parsing logs. Confirm no timeout errors are triggered. Verify that the
PARSE_FILE_TIMEOUT_SECONDSconfiguration is active.
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.