What Data for This Category Includes
Data for this category covers resin batch property sheets, injection molding machine operating parameters, mold temperature controller monitoring data, MES system production records, and dimensional and appearance inspection results. Daily documents include injection molding process cards, raw material drying records, mold history logs, first-piece inspection forms, patrol inspection records, and material change and machine cleaning records.
Data updates are triggered with each production batch, each mold or material change, and each shift. Fields include injection molding machine screw speed (unit: revolutions per minute), mold cavity temperature (unit: ℃), filling and holding pressure duration (unit: seconds), raw material batch number, mold cycle count, and other relevant fields.
Constraints for Tool Calling and Plugins
Data updates for this category are triggered by production batches, mold/material changes, and shift work. Data sources are dispersed across equipment, systems, and inspection results. Document fields include industry-specific parameters and units.
Tool calling must be tied to production event trigger logic, to ensure inspection and record audit tasks run automatically at the corresponding nodes. The toolChoice configuration can be used to automatically select appropriate tools at this time.
The need to connect multiple data sources requires plugins to support interfaces for different types of systems such as injection molding machines, mold temperature controllers, and MES systems. Parameter parsing must match industry-standard fields like screw speed and mold cavity temperature.
The volume of data processed in a single call must be limited to a single batch or shift, to avoid call timeouts from overly large datasets. Inspection results must be synchronized to the production system, to ensure abnormal records can be traced promptly.
Configuration Settings
These configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Trigger Timing | Triggered by production events (mold change, material change, end of shift) | Matches the update rhythm of data for this category |
| Workflow/API tool selection | auto | Automatically selects tools suited for injection molding inspection scenarios |
| Workflow/API function-call configuration | Batch call mode, maximum 50 records processed per single call | Adapts to the volume of inspection data for a single production batch |
| Data Source Adaptation | Bind dedicated interfaces for injection molding machines, mold temperature controllers, and MES systems | Covers all full data sources for this category |
| Parameter Validation Thresholds | Mold temperature deviation ±5℃, filling duration deviation ±2 seconds | Matches the rated parameter requirements of injection molding process cards |
| Timeout Setting | 600 seconds | Adapts to the typical duration of single-batch data processing |
Three Common Misconfigurations
- Phenomenon: Unanticipated non-inspection title content appears in conversation logs when calling APIs. Cause: Irrelevant document fragments were not filtered in the tool calling configuration, causing non-target content to be included in the context.
- Phenomenon: Occasional timeout errors occur when calling tools. Cause: The dataset processed in a single call exceeds the configured limit, and tasks were not split by production batch.
- Phenomenon: Inspection results returned by tool calls do not match the field format used in the injection molding industry. Cause: Industry-specific parameter parsing rules were not configured, leading to field incompatibility with production systems.
How to Verify Successful Configuration
- A mold change event is triggered, and confirm whether the tool starts automatically and calls the corresponding data sources.
- Review the tool call logs, and confirm that returned parameters fall within the rated ranges for injection molding processes.
- Verify that inspection results are synchronized to the preset production system ledger.
- Abnormal parameter inputs are simulated, and confirm whether the tool triggers the abnormal alert logic.
Note: The values provided are common starting points and should be evaluated against the reader's own samples.