What the data for this category looks like
The core outputs of this category are power battery packs, energy storage cabinets, and BMS systems. Daily production documents include grouping rules, BOM lists, welding and torque records, BMS flashing records, insulation and pressure resistance reports, EOL test data, and system configuration lists. Data sources include cell grading systems, workshop MES, welding equipment, torque tools, BMS software version repositories, and EOL test benches. Data is updated each time a battery pack or energy storage cabinet is produced to create a corresponding ledger. Associated records are updated synchronously each time the BMS software version changes. A single ledger includes fields such as cell batch number, welding torque value, flashing version, and test voltage. Units include newton meters, volts, version identifiers, and more.
How These Characteristics Impact Workflow Orchestration
Data sources are scattered across multiple types of production equipment and systems. Workflows must connect multiple nodes to pull content from different data sources individually. This prevents missing information from single-node pulls. Data updates occur frequently, and individual ledgers have small file sizes. Configure node logic for batch pulling and single-item verification to ensure real-time performance and accuracy. There are diverse document types. Support content extraction and field mapping rules for different formats. Fields include non-standard units. Configure unified field conversion logic in nodes. Each BMS software version change must trigger updates to associated ledgers. Set trigger conditions based on variables to ensure synchronous updates of associated data.
Configuration Guidelines
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Data Source Node Configuration | Bind four types of data sources: cell grading systems, workshop MES, welding equipment, and EOL test benches | Data sources for this category are scattered across multiple production equipment and systems, so multiple nodes must be connected to pull different content |
| Trigger Condition Configuration | Trigger based on production batch numbers in variables | Ledgers are generated each time a battery pack or energy storage cabinet is produced, so workflows must be triggered accurately based on production batches |
| Field Mapping Rules | Map fields including cell batch number, welding torque value, flashing version, test voltage, and unify units to newton meters and volts | Ledgers for this category include non-standard units, so unifying field formats ensures summary accuracy |
| Timeout Threshold | 300–600 seconds | Reasonable delay exists when pulling data from production equipment, so a reasonable timeout range is set based on actual measurements |
| Node Verification Rules | Check whether required fields exist and their formats are compliant | Missing fields in individual ledgers will cause errors in subsequent report generation |
| Workflow Version Binding | Associate with FastGPT v4.17.0 | Ensures compatibility and stability of workflow node functions |
Three Common Mistakes
- Phenomenon: Workflow debugging and verification fail, and the interface prompts to check whether nodes are correctly filled and whether connections are normal. Cause: Multiple series nodes are not configured for the scattered data sources of this category, or the connection sequence is incorrect, causing data flow interruption.
- Phenomenon: Field garbled characters or content truncation appear in the ledger summary results. Cause: Escape processing for special characters such as double quotes is not configured, causing abnormal parsing by content extraction nodes.
- Phenomenon: The database node fails to pull the corresponding production ledger data. Cause: The data node corresponding to
nodeIdis not correctly bound, or the correct trigger condition is not set.
How to Verify a Successful Configuration
- Manually trigger the workflow, check whether each data source node successfully pulls production data for this category.
- Verify the field mapping rules, confirm that non-standard fields in the ledger have been converted to standard formats according to preset rules.
- Trigger the workflow based on production batches, check whether only ledger summary content for the corresponding batch is generated.
- View workflow operation logs, confirm that there are no node errors or abnormal data flow.
All recommended configuration values are common starting points, and should be evaluated against the user's own samples.