What Data for This Category Looks Like
The process and standard data for photovoltaic module encapsulation comes from cell grading records, glass adhesive film and backplane batch ledgers, workshop MES systems, string welding and lamination equipment logs, and EL/IV tester output files. Data is updated such that exclusive records are generated for each module, and batch ledgers are synchronized for each batch of raw materials. Daily documents include module layout diagrams, material batch records, lamination process parameter tables, EL crack detection images, IV power test reports, insulation voltage withstand records, and finished product packing lists. Fields include cell current gear, lamination temperature and time, EL defect coordinates, IV test power values, and more. There is no unified standardized format, and matching must be done separately by document type.
Constraints Imposed on Workflow Orchestration
The real-time nature and batch-binding characteristics of the data require workflows to support dynamic association with unique component identifiers, to avoid cross-batch data confusion. Multiple document types and non-standardized fields require workflows to be configured with categorized recall rules, prioritizing matching of process parameter and test documents. The most time-consuming links of cell gear matching, lamination parameter control, and EL defect judgment require dedicated execution nodes in the workflow, to prevent resource contention with general question-and-answer nodes. High data update frequency requires a scheduled synchronization mechanism, to ensure the data source called by the workflow uses the latest batch records. Errors directly affect module yield and customer claims, so workflows must be configured with failure retry and exception branch processing logic.
Configuration Settings
These configurations are based on FastGPT v4.17.0 workflow orchestration logic. Specific parameters are listed below:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Variable definition | Bind component batch number and EL image ID in variables | Uniquely identifies a single module and associates it with the process and test data for its batch |
| Node ID binding | Assign a dedicated nodeId to string welding, lamination, and EL judgment nodes | Ensures precise matching between the data source called by the workflow and the execution node |
| Context length | 800–1200 characters | Covers the core content of a single lamination process record and EL image description |
| Single recall limit | Top 5 entries | Matches core data entries for cell grading and IV test reports |
| Failure retry count | 3 times | Addresses scenarios such as temporary device data interruptions and interface call timeouts |
| Result filtering rules | Only retain entries that meet rated power requirements | Matches qualified thresholds in process standards |
Three Common Mistakes
- No submit button appears in workflow sessions: No interactive logic for the trigger button is configured in the session node, preventing submission of query requests.
- Unable to generate Mermaid flowchart image links: No Mermaid service call node is added to the workflow, or the flowchart code parameters in
variablesare not configured correctly. - Unexpected loop execution count: No termination condition is set for the loop, or
nodeIdis not bound to the loop count node, causing infinite loop execution.
How to Confirm Proper Configuration
- Trigger the workflow, confirm that a submit button appears in the session interface, and verify that the component batch number parameter is correctly passed after the button is clicked.
- Call the Mermaid service node, enter preset flowchart code, and check whether a valid image link is returned and displayed in the session.
- Start the loop node, set a maximum execution count, and verify that the workflow execution count matches the preset threshold.
- Enter process-related questions about photovoltaic module encapsulation, and check whether the workflow correctly recalls content from corresponding documents and returns matching answers.
The values provided are common starting points and should be measured against the reader's own samples.