What data looks like for this category
Data sources for this category include cell grading data, MES system, welding equipment, torque tools, BMS software version records, and EOL test bench data. Update frequency is once per produced battery pack or energy storage cabinet, with synchronization whenever the BMS software version changes. Daily documents cover grouping rules, BOM lists, welding torque records, BMS flashing records, insulation and voltage withstand reports, EOL test reports, and system configuration lists. Fields include cell capacity tolerance (unit: Ah), welding torque value (unit: N·m), insulation resistance value (unit: MΩ), and others. Data structure has minor differences based on production line configuration.
What constraints these characteristics impose on workflow orchestration
This category has high data update frequency and tight association between single-batch data. Workflows must pull the latest production line data and documents in real time to avoid using expired grouping rules or test reports. There are many document types with highly specialized fields, so document recall scope must be split by process link. For example, only call grouping rule documents during the grouping stage, and call EOL test reports during the testing stage. Errors involve system security and downtime risks, so workflows must add verification nodes to secondarily check key parameters such as torque values and insulation resistance. Data sources are scattered, so workflows must interface with multiple types of equipment and system APIs to ensure accurate data synchronization.
How to set configurations
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Variable Binding | Bind variables to the current work order’s cell SN code and production line ID | Each battery pack/energy storage cabinet has unique parameters, requiring dynamic pulling of grouping rules and test data for the corresponding production line |
| Node ID Configuration | Specify nodeId as the BMS configuration verification node | The output of this node must be controlled separately to avoid irrelevant information appearing in the final conversation |
| Single Context Length | 800–1200 characters | Matches the single-paragraph length of professional documents for this category, preventing context overflow |
| Multi-node Output Control | Hide reply content for a specified nodeId | Only retain key prompts for operating personnel to reduce redundant information |
| Timeout Threshold | 600 seconds | Matches the average time required for EOL testing and data pulling, preventing task interruption mid-process |
| Document Recall Scope | Limit to process documents for the current production line | Filter irrelevant documents to improve question-and-answer accuracy |
Three common mistakes
- All AI conversation node replies within a workflow appear in the final conversation. This occurs because the output hiding rule for the specified
nodeIdis not configured, causing all node outputs to be pushed to the conversation window. - A workflow only supports single-turn questions and cannot implement multi-turn conversations. This occurs because user conversation context is not bound to
variablesfor passing, and the workflow’s multi-turn interaction configuration is not enabled. - A model node throws a timeout error. This occurs because a timeout threshold matching the production line data pulling duration is not set, causing the verification stage to execute before data is fully loaded.
How to confirm correct configuration
- Trigger a single test work order, check whether the output of the specified
nodeIdis not displayed in the conversation window to confirm that the output hiding rule is effective. - Submit multiple related questions, such as first asking about grouping rules, then asking about the capacity tolerance requirements for the corresponding cell, to confirm that the workflow can retain context and return results correctly.
- Simulate input of abnormal parameters, such as a welding torque value outside the standard range, to confirm that the workflow triggers the verification stage and returns corresponding prompts.
- View the FastGPT v4.17.0 workflow logs to confirm that the cell SN code and production line ID bound to
variablesmatch the test work order.
The values provided are common starting points and should be evaluated against the reader’s own samples.