What the data for this category looks like
Environmental monitoring intelligent due diligence reports for financial scenarios draw data from three sources: publicly available online monitoring data from local ecological environment departments, third-party monitoring institution reports commissioned by enterprises, and raw data exported from portable monitoring equipment. There are two update cadences. Real-time online point data updates every 5 minutes. Batch summary reports are synchronized and updated after being generated per monitoring cycle. A single report includes these structural elements: report number, financial institution client information, monitoring cycle, point list, pollutant monitoring values, standard limits, exceedance statistics and conclusions. Fields include point number, pollutant type, monitoring value, unit, exceedance flag, and more. Different pollutants use different units. For example, PM2.5 uses μg/m³, and COD uses mg/L.
What constraints these characteristics impose on workflow orchestration
Multi-source data access requires the workflow to support input in multiple formats including CSV, JSON and PDF. It must also support two access methods: real-time API pulling and batch file import. Different update cadences correspond to different trigger logic. Real-time data requires scheduled trigger tasks. Batch reports need scheduling rules set per their generation cycle. Inconsistent field units require built-in unit conversion rules in the workflow to avoid errors in exceedance judgments. Large variations in the length of batch long-text reports require adaptive text segmentation rules to ensure complete information extraction.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
TRIGGER_CRON_EXPRESSION | For real-time data: */5 * * * *; for batch reports: 0 0 2 * * * | Online monitoring data updates every 5 minutes, batch reports are generated at 2 AM daily |
DATA_PARSE_FORMAT_SUPPORT | ["csv", "json", "pdf"] | Data sources include CSV-formatted real-time device data, JSON-formatted publicly available department data, and PDF-formatted third-party reports |
FIELD_UNIT_MAPPING | {"PM2.5":"μg/m³", "SO2":"μg/m³", "COD":"mg/L"} | Different pollutants use different monitoring value units, which must be unified for comparison against standard limits |
TEXT_SPLIT_CHUNK_SIZE | 800–1200 characters | Batch reports have large variations in length, so segment length is adapted for long-text information extraction |
WORKFLOW_TIMEOUT | 600 seconds | Batch report processing requires reading multiple documents, which takes a long time |
DEBUG_LOG_LEVEL | info | Abnormalities in multi-source data access and field conversion links need to be troubleshooted |
The parameter values provided on this page are common recommended starting points for configuring workflows. Actual values are affected by material form, data volume and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: The model selection dropdown in the text content extraction node is empty, and no model can be selected. Cause: Access authorization and key configuration for the corresponding large model have not been completed in the platform's global configuration, causing the node to fail to pull the available model list.
- Phenomenon: After configuring the auto-increment logic for the global
number_countervariable, the workflow execution does not change the variable value. Cause: The variable scope is not correctly bound in the variable update node, or the assignment expression is not set to{{number_counter + 1}}and written back to the original variable. - Phenomenon: After importing an external workflow configuration, the execution output meets expectations but the field values in the intermediate steps do not match the original workflow. Cause: Global variables and field mapping rules relied on by the workflow have not been synchronized, or the parameter transfer connections between nodes were lost during import.
How to confirm the configuration is complete
- Trigger a test workflow run, and check if the debug log contains execution records for all configuration links.
- Verify the output of the multi-source data access node, confirm that monitoring data in different formats can be parsed correctly.
- Check the results of the field conversion link, confirm that all pollutant monitoring value units have been unified and converted.
- After importing the external workflow configuration, cross-check the connections between nodes and parameter binding relationships to ensure they match the original 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.