What the data for this category looks like
Data sources for air pollution control intelligent due diligence reports include public monitoring bulletins from environmental protection authorities, operation ledgers submitted by air pollution control enterprises, on-site test reports from third-party testing institutions, and project environmental impact assessment (EIA) and rectification approval documents.
Update rhythms vary by data type: monitoring data is updated monthly or quarterly, project ledgers are updated annually, and EIA and approval documents are submitted once with subsequent rectification supplementary documents.
Document structures include structured pollutant concentration reports, semi-structured governance facility operation logs, and unstructured technical plans and rectification descriptions. Fields cover pollutant concentration (unit: mg/m³), governance facility operating duration (unit: hours), total project investment (unit: ten thousand yuan), and some documents include monitoring data visualization charts.
What constraints do these characteristics impose on the document parsing and chunking process
The above data characteristics create multiple constraints for the document parsing and chunking process. Documents from multiple sources have large format differences, ranging from plain text operation logs to complex table monitoring reports and EIA reports with charts. Parsing must adapt to multiple content formats. The length of different document types varies widely. Some documents are short single test reports of a few pages, while others are long annual governance plans of dozens of pages. Chunking must balance the integrity of short documents and the retrieval granularity of long documents. Unit identifiers for specific fields are fixed. Parsing must accurately identify and retain units such as concentration, duration and amount to avoid data confusion. In addition, due diligence reports require association of multiple sets of monitoring data from the same site. Chunking must retain contextual associations to prevent data breaks across chunks from affecting retrieval accuracy.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Air pollution control due diligence reports contain a large number of structured monitoring reports and ledger tables. Complete extraction of data such as pollutant concentration and operating duration in cells is required |
MAX_PARSE_CHUNK_SIZE | 800–1200 characters | Air pollution control documents range from short single test reports of a few pages to long annual governance plans of dozens of pages. This range balances contextual integrity and retrieval accuracy |
PARSE_IMAGE_OCR_ENABLE | Enabled | Some reports include hand-drawn or exported monitoring data charts. OCR is required to extract numerical and annotation information within charts |
UPLOAD_FILE_MAX_SIZE | 500 MB | Annual air pollution control project due diligence reports may include multiple attached files. Support for large-capacity file uploads is required |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing of long documents and multi-attachment combinations requires longer processing time to avoid interrupting the parsing process due to timeout |
CHUNK_OVERLAP_RATE | 10%–15% | Contextual associations across chunks must be retained to prevent multiple sets of data from the same monitoring site from being split into different chunks |
The parameter values provided on this page are common recommendations used as a starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common errors
- Scenario: After uploading a PDF monitoring report, the parsing node displays "parsing failed" and returns status code 413. Cause: The
UPLOAD_FILE_MAX_SIZEconfiguration was not adjusted, and the file size exceeds the platform limit. - Scenario: After uploading a structured monitoring table, the table fields in the parsing result are empty. Cause: The
PARSE_TABLE_ENABLEconfiguration was not enabled, so table content was not recognized and extracted. - Scenario: After chunking a long document, multiple sets of associated data from the same governance project are split into different chunks. Cause: The
CHUNK_OVERLAP_RATEsetting is too low, and insufficient contextual overlap is retained.
How to confirm the configuration is correctly set
- Upload a single-page structured monitoring report PDF. Check if the pollutant concentration and corresponding units in the table are fully extracted in the parsing result. Confirm that the
PARSE_TABLE_ENABLEandPARSE_IMAGE_OCR_ENABLEconfigurations are active. - Upload an annual rectification report that includes monitoring data charts. Check if the technical description context next to the chart is retained in the chunking result. Confirm that the
MAX_PARSE_CHUNK_SIZEandCHUNK_OVERLAP_RATEconfigurations adapt to the document length. - Upload an attached file larger than the conventional single-page size. Check if the upload and parsing processes complete normally. Confirm that the
UPLOAD_FILE_MAX_SIZEconfiguration covers the target file size. - View the parsing logs to confirm there are no timeout errors. Confirm that the
PARSE_FILE_TIMEOUT_SECONDSconfiguration is set appropriately.
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.