Workflow Orchestration for Air Governance Research Report

What the data for this category looks like

Air governance research report data mainly comes from publicly available monitoring datasets from ecological and environmental departments, annual survey results from industry associations, emission control research papers from research institutes, and enterprise self-monitoring logs. Data update cycles cover three categories: real-time hourly monitoring data, monthly industry analysis reports, and quarterly special governance summaries. Document structures usually include fixed fields such as monitoring area coordinates, pollutant concentration values, governance facility parameters, and implementation cycles. The concentration unit is uniformly μg/m³, the area unit is km², and the timestamp format is YYYY-MM-DD HH:MM:SS. Some specialized research reports also include PDF-format monitoring charts and Excel-format statistical data attachments.

What constraints these characteristics impose on workflow orchestration

Multiple data sources require the workflow to be configured with a multi-data source aggregation node to integrate research reports and monitoring data from different channels. High-frequency updated real-time data requires the workflow to support scheduled triggering or incremental synchronization mechanisms to avoid unnecessary resource consumption caused by full pull. Fixed fields and units require the workflow to have a built-in format verification node to ensure that extracted professional data conforms to industry standards and prevent unit confusion or missing fields. Chart attachments require the workflow to be configured with a dedicated file parsing node to adapt to visual data extraction in PDF and Excel formats, ensuring that the complete content of research reports can be retrieved.

How to set configurations

Configuration Item	Recommended Value	Rationale
`Recall count`	`Top 10-15 entries`	Air governance research report data is relatively vertically concentrated. Too many recall results will increase context redundancy and affect model response efficiency
`Similarity threshold`	`0.75-0.85`	Filter low-relevance general environmental protection data and retain professional research report content that strongly matches the air governance scenario
`PARSE_FILE_TIMEOUT_SECONDS`	`300 seconds`	A single research report may contain multiple pages of monitoring charts and tables, with longer parsing time than general documents
`Chunk size`	`800-1200 characters`	Air governance data contains a large number of professional terms and long sentences. Too long segments will reduce the model's semantic understanding accuracy
`Trigger Frequency`	`Once Per Hour`	Adapt to the update cycle of real-time monitoring data to ensure the timeliness of retrieval results
`Knowledge Base Incremental Sync Switch`	`Enabled`	Reduce resource consumption from full synchronization and adapt to high-frequency updated air governance monitoring data

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 specific analysis. It is recommended to test on your own samples before finalizing settings.

Three common mistakes

The symptom is that after manually inserting a <video> tag in the 回复节点 configuration of the workflow, the output still displays the plain text tag. The cause is that the 富文本渲染 switch is not enabled by default in version 4.8.20, and only plain text format output is supported.
The symptom is that when calling the API to trigger the workflow, after passing a custom Knowledge base ID variable, the Knowledge base search node does not load the corresponding data source. The cause is that the permission configuration for 变量引用知识库 is not enabled, and the passed variable does not match the system preset parameter naming rules.
The symptom is that the 文本内容提取 node returns empty fields after running. The cause is that no dedicated extraction rules are configured for air governance research reports, and the model cannot identify industry-specific fields such as 污染物浓度 and 治理点位.

How to confirm the configuration is complete

Run a single test workflow, check whether the results returned by the Knowledge base search node include preset air governance-specific fields, and verify that the field values match the original research report content.
Check the scheduled trigger configuration to verify whether the system automatically triggers the workflow and updates the data source according to the set Trigger Frequency cycle.
Call the API to pass the custom Knowledge base ID parameter, confirm that the Knowledge base search node can correctly load the corresponding data source without error prompts.
Insert the 文本内容提取 node and run it, check whether the output results include preset professional fields and that the unit format conforms to industry standards.

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.