What the data for this category looks like
Marketing content data for financial institutions targeting water treatment enterprises comes from three main sources: real-time data collected by water treatment enterprises' water monitoring sensors, monthly electronic reports issued by offline water quality testing institutions, and operation and maintenance inspection records collected by financial institutions. Real-time monitoring data updates at the second level, and includes fields such as monitoring point number, collection time, pH value, turbidity, and residual chlorine concentration. Monthly reports are mostly in structured table format, and include content such as sampling location, testing items, and qualification judgment results. Most data fields have clear physical units: pH value has no unit, turbidity is measured in NTU, and residual chlorine concentration is measured in mg/L. Additional fields from financial institutions include enterprise qualifications and credit limits, which are used for customized marketing content.
What constraints these characteristics impose on workflow orchestration
Real-time second-level water monitoring data requires workflow nodes to have low-latency processing capabilities. Batch synchronization logic cannot be used, otherwise real-time marketing scripts cannot be generated. Large differences in data formats across multiple sources require adding data standardization preprocessing nodes in the workflow. These nodes unify field mapping rules between water treatment enterprise business data and financial institution customer qualification data. Fields with physical units require additional unit verification rules. This prevents unit errors in marketing content that damage professional credibility. Long-text parsing of monthly summary reports requires a longer timeout period. General short-text parsing parameters cannot be used. Marketing content must generate personalized scripts by combining real-time water quality data and enterprise qualifications. This requires the workflow to support dynamic cross-data source calls, and comply with financial institution compliance requirements.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DATABASE_PORT | 3306 or 5432 | Industry-standard ports for MySQL and PostgreSQL, compatible with most water treatment data storage solutions |
UPLOAD_FILE_MAX_SIZE | 20 MB | Most water treatment marketing materials are water quality report PDFs and on-site equipment photos, limiting individual file size to 20 MB covers most scenarios |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing monthly water quality summary reports takes longer, 300 seconds prevents long document parsing timeouts |
MODEL_RATE_LIMIT | 10 requests per minute | Matches the official call limit for qwen3.5-plus, avoids triggering the 429 Request rate increased too quickly error |
WORKFLOW_TRIGGER_MODE | Scan code trigger + scheduled trigger | Supports real-time scan code customer acquisition for marketing activities, and can also generate monthly water quality popular science content on a scheduled basis |
FILE_UPLOAD_ENABLE | Enabled | Supports uploading on-site equipment photos and water quality reports for workflow testing |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- The database connection node's port input field is unresponsive. The root cause is failure to expand the node's advanced configuration panel, as the port configuration item is hidden by default.
- Calling the
qwen3.5-plustool node returns the429 Request rate increased too quicklyerror. The root cause is failure to configure theMODEL_RATE_LIMITparameter, resulting in call frequency exceeding the model limit. - The workflow only supports single-user scan code triggering, and simultaneous access by multiple people is not possible. The root cause is failure to set the workflow's sharing permission to public, and failure to enable the multi-session concurrency function.
How to confirm the configuration is complete
- Navigate to the database connection node configuration page, enter the preset port number, click the test connection button, and verify that the connection status shows normal.
- Upload a single 15 MB water quality report PDF file, wait for parsing to complete, and check whether the extracted fields are complete and accurate.
- Initiate 12 consecutive
qwen3.5-plustool calls, check whether a429error is triggered, and confirm that the rate limit parameter takes effect. - Generate a workflow sharing QR code, scan the code with two distinct devices to trigger the workflow, and verify that both sessions execute normally and return results.
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.