What data for this category looks like
Data related to general equipment yield rates originates from three sources: device operation logs collected by IoT terminals, financial ledgers from enterprise ERP systems, and regional general equipment rental market databases. Full prior-day data collection is completed each early morning. Key operation metrics are synchronized every 15 minutes. Each data record includes: device unique identifier, statistical period, cumulative operating duration, average load level, current period maintenance expenditure, current period device revenue, regional market benchmark value. Field units: cumulative operating duration is measured in hours, current period maintenance expenditure and revenue are measured in yuan, statistical period uses ISO 8601 formatted time intervals, and average load level is a proportion of rated operating capacity.
What constraints do these characteristics impose on workflow orchestration
Mixed multi-data source requirements mean workflows must configure parallel call nodes. They must connect to three types of interfaces: IoT, ERP, and market databases. This avoids excessive time delay caused by serial calls. Different update schedules require dual trigger branches. These branches handle daily full collection daily report data and real-time synchronized operation indicators separately. Standardization of multiple fields requires unified field mapping rules. These rules align fields such as device identifiers and revenue data from different data sources into a general format. Daily report broadcasting output requirements require a data aggregation node. This node groups and summarizes daily full data by device ID, while retaining detailed information of key indicators. ISO formatted statistical periods require a time formatting node. This node uniformly outputs the natural language format required for broadcasting.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
workflow_trigger_mode | Timed Trigger, Real-time Trigger | Covers requirements for daily full data collection and real-time operation indicator updates |
data_source_parallel_count | 3 | Connects three data sources (IoT, ERP, market database) simultaneously, balancing concurrency and time consumption |
timeout_seconds | 600 seconds | Reserves total time limit for parallel calls of multiple data sources to avoid task interruption |
form_default_value_source | Global Variable | Reuses global configuration variables such as device list and statistical cycle to reduce form entry workload |
parse_file_supported_types | ["csv", "xlsx", "json"] | Compatible with common upload formats for general equipment operation and maintenance ledgers and financial reports |
workflow_export_format | CSV | Meets batch structured export requirements for daily report broadcasting, compatible with most reporting tools |
The parameter values provided on this page are conventional recommendations used to determine the 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.
Three common mistakes
- Phenomenon: Format errors or file corruption occur when exporting the workflow. Cause: The
workflow_export_formatparameter is not configured correctly, and incompatible export formats and data source field types are mixed. - Phenomenon: The default value of the form input node fails to load global variables. Cause:
form_default_value_sourceis not set toGlobal Variable, or the corresponding device list parameter is not configured in the global variables. - Phenomenon: Unable to parse after uploading general equipment operation and maintenance ledgers. Cause:
parse_file_supported_typesis not configured to includexlsxorcsv, or the field extraction function for table data is not enabled.
How to confirm the configuration is correct
- Manually trigger the workflow, check the return results of each data source node, and confirm that all fields are correctly mapped to the standardized format.
- Submit form input, check whether the default value correctly loads the globally configured variables, and confirm that the data submitted by the form can be normally read by the workflow.
- Upload test operation and maintenance ledger documents, check whether the parsed fields are consistent with the general equipment data structure, and confirm that the parsing results meet expectations.
- Configure a scheduled trigger task, wait for the trigger, check the workflow execution log, and confirm that the parallel number and timeout settings of multiple data source calls meet the configuration requirements.
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.