What the Data for This Category Looks Like
Heating data comes from metering collection systems of public utility enterprises partnered with financial institutions. It includes heating metering information for buildings, heat exchange stations, and end users, and is used for customer acquisition marketing scenarios. Update frequency varies from 15 minutes to 1 hour depending on the coverage scope of nodes. Remote transmission nodes may experience delays of up to 30 minutes. Each data entry is in structured format, containing fields such as device unique identifier, collection timestamp, instantaneous heat supply, cumulative heat supply, supply and return water temperature, and pipe network pressure. The units are MW, GJ, ℃, and MPa respectively. Some data experiences packet loss.
What Constraints Do These Characteristics Impose on the Workflow Orchestration Link
Differences in data update frequency require workflow trigger nodes to adapt to event-driven modes, avoiding invalid executions and data lag caused by scheduled polling. Multiple fields and unit requirements require preset verification rules during the field mapping stage, to prevent errors in marketing content generation caused by unit mismatches. Transmission delays and packet loss risks require configuring timeout retries and data completion branches in the workflow, to ensure the validity of input data. The association logic between device IDs and user profiles requires adding a mapping verification node in the workflow, to prevent marketing content matching deviations caused by association errors, which would affect customer acquisition accuracy.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
trigger_mode | event_trigger | Adapts to the characteristic that heating data updates based on collection events, avoiding invalid executions and data lag caused by scheduled polling |
field_validation_rules | {"temperature": "0-150℃", "pressure": "0-2.5MPa", "heat_flow": "0-10MW"} | Matches the conventional operating parameter range of heating pipe networks, filtering invalid data from abnormal collections |
retry_max_times | 3 times | Balances data reliability in transmission delay scenarios and workflow execution duration |
cross_system_timeout | 600 seconds | Adapts to the conventional response duration of cross-system calls for associating device IDs and user profiles |
context_token_limit | 8000 | Matches the information density required for heating marketing content, avoiding redundant generated content caused by overly long context |
user_info_fetch_switch | Enabled | Enable this configuration to pull user information if user names need to be displayed in marketing content |
The parameter values provided on this page are all conventional recommendations used as starting points 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 conduct tests on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: Form nodes cannot be connected by other branches, and the
NODE_CONNECT_RESTRICTEDerror code is triggered during execution. Cause: The node reuse permission of the workflow is not enabled. By default, nodes only support single-link binding. - Symptom: The
user_namefield is empty in workflow output, only theuser_idfield is returned. Cause: The user information pull node is not configured. By default, only the system-generated user identifier is returned. - Symptom: The generated marketing content does not match the current heating usage status, and the
DATA_OUTDATEDprompt appears in the logs. Cause: The workflow uses scheduled polling triggers and does not use event-driven mode, resulting in expired collection data being called.
How to Confirm the Configuration is Correct
- Trigger a simulated heating collection event, check the workflow execution logs, and confirm that the trigger logic matches the configured
trigger_mode - Pass heating parameters outside the conventional range, check the interception results of the field verification node, and confirm that the rules are in effect
- Pull the associated user and device data, check the accuracy of the mapping relationship, and confirm that there are no association errors
- View the final generated marketing content from the workflow, confirm that it includes the preset heating data fields and business information
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.