What the data for this category looks like
Business data for plastic injection molding comes from resin batch property sheets, injection molding machine operating parameters, mold temperature controller logs, MES system records, and dimensional and appearance inspection reports. Daily associated documents include injection molding process cards, raw material drying records, mold history logs, first article inspection forms, patrol inspection records, and material change and machine cleaning records.
Data updates occur every production batch, each time molds or materials are changed, and once per shift. Fields include professional engineering parameters such as resin melting temperature (℃), holding pressure (bar), drying duration (hours), batch number, and mold number.
What constraints do these characteristics impose on the "workflow orchestration" link?
Scattered data sources and uneven update frequencies mean the workflow must adapt to real-time synchronization across multiple systems, and accurately define trigger timing for each data node.
Document fields contain many professional engineering parameters. Workflow variables must strictly match field names and units to avoid parameter mismatches.
Production errors can lead to batch defects, mold damage, or safety issues. The workflow must include branch verification nodes to validate key parameters for legality.
Unlike other process industry categories, injection molding has no cross-linking curing step. Parameter configuration must focus on three core cycle windows: filling, holding pressure, and cooling.
How to set the configuration
The following configurations are based on FastGPT v4.17.0:
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
variables | Map injection molding process parameters, raw material data, and mold history to global variables, calibrated via actual measurements | This category has numerous and frequently updated data fields, requiring unified access to data from each link |
| Node trigger conditions | Trigger based on batch completion time, with an interval no longer than 4 hours | Matches the data update frequency of per batch, mold/material change, and per shift, ensuring real-time parameter availability |
| Tool call settings | Return the first 3 historical inspection data entries per call | Patrol inspection and first article inspection data volumes are moderate, avoiding redundant information that slows operation |
| Output format control | Force generation of HTML-formatted quotation details and process descriptions | Bid documents require standardized formatting to meet client review requirements |
nodeId | Bind a unique nodeId to each data source node | Accurately track data sources for each link, avoiding assembly or safety issues caused by material mixing |
Three common errors
- Phenomenon: The specified HTML output node does not display content during workflow runtime, and the workflow proceeds directly to the next branch. Cause: The output field for HTML generation is not bound in
variables, so the node’s rendering logic does not trigger. - Phenomenon: Workflow runtime times out, and the interface shows no response. Cause: The number of single return entries for tool calls is not limited, leading to excessive pulling of historical injection molding machine parameter data.
- Phenomenon: Redundant knowledge base search input and output references appear in the bid document. Cause: The automatic log insertion option is not disabled in the tool call configuration, so unnecessary content is embedded in the output.
How to confirm the configuration is complete
- Trigger the workflow manually, and check if the generated bid document includes the preset HTML-formatted process parameter table.
- View the workflow logs to confirm that each data node synchronized the latest raw material, mold, and production parameters at the set trigger time.
- After calling the tool node, check that the output content does not include redundant knowledge base search-related fields.
- Simulate a mold change or material change scenario to verify whether the workflow triggers branch jumps and updates the parameter configuration for the corresponding link.
The values provided here are common starting points, and should be evaluated against local deployment samples.