What the data for this category looks like
Data related to commercial vehicle yield rates comes primarily from three types of data sources: on-board T-BOX terminals, logistics order management systems, and energy refueling station settlement systems. Real-time location and energy consumption data updates every 30 seconds. Daily operation summary data is generated and pushed at 2 AM each day. Data is stored in structured JSON format, including fields such as vehicle_id (vehicle identification code, string), daily_mileage (unit: kilometers, number), fuel_consumption_rate (unit: liters per 100 kilometers, number), order_revenue (unit: yuan, number), maintenance_cost (unit: yuan, number), idle_duration (unit: minutes, number), operating_period (string, time range). Idle duration and operating period are unique statistical dimensions for commercial vehicles.
What constraints these characteristics impose on workflow orchestration
High-frequency updates of on-board data require workflows to support high-frequency scheduled triggers or incremental pull modes, to avoid excessive system load caused by full pulls. The fixed update rhythm of daily summary data requires workflows to include a nighttime scheduled trigger link to adapt to the data generation time window. The unique commercial vehicle fields of idle duration and operating period require workflows to support custom field mapping rules, and cannot directly reuse field templates for general categories. The need for cross-system integration of multi-source data requires workflows to have built-in data merging nodes to handle differences in field names across systems, ensuring the accuracy of yield rate calculations.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Scheduled Trigger Interval | 30 seconds | Matches the update frequency of real-time data from on-board T-BOX terminals, avoiding duplicate or missed data pulls |
Data Pull Batch Size | 80–120 records | Adapts to the volume of single-batch commercial vehicle operation data, balancing pull efficiency and system load |
Field Mapping Rules | Calibrated based on actual testing | Requires mapping unique commercial vehicle fields such as idle_duration and operating_period, cannot use general templates |
Node Timeout Duration | 600 seconds | The cross-system data merging link for energy refueling stations and order systems requires a longer processing time |
Global Variable Initialization | Initial value: { "total_revenue": 0, "total_cost": 0 } | Pre-reserves statistical containers for yield rate calculations, preventing unassigned runtime variables |
Exception Alarm Trigger Condition | Field empty rate ≥ 10% | Commercial vehicle data anomalies such as on-board terminal offline will cause missing fields, requiring timely alarm triggers |
The parameter values provided on this page are general recommendations used as a starting point for configuration. 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
- Symptom: No print messages appear in the log panel of the code run node, and output cannot be viewed when debugging the node individually. Cause: The
Code Node Log Outputswitch is not enabled, or the log level is set higher thanINFO, which filters normal print content. - Symptom: Modified parameters of the custom component cannot be saved, and default values are restored after restarting the workflow. Cause: Parameters were adjusted directly on the canvas without entering the component's configuration popup to make changes, and component configuration changes were not submitted.
- Symptom: The data panel component returns unassigned null values when retrieving global variables. Cause: The variable assignment node did not execute before the button trigger, and global variables were not initialized during the workflow startup phase.
How to confirm correct configuration
- Manually trigger the workflow once, check whether the log panel contains print messages from the code node, confirming that the log output configuration is effective.
- Enter the configuration popup of the custom component, modify parameters and save, reopen the configuration popup to confirm that the parameters have been updated, confirming that the component modification process is working normally.
- Simulate a button trigger event, check the value of the corresponding variable in the global variable panel, confirming that the variable has been assigned before the trigger.
- Pull a batch of test commercial vehicle operation data, run the workflow and check the output of the data merging node, confirming that multi-source fields have been correctly aligned.
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.