What the Data for This Category Looks Like
Production data sources for precast concrete components include BIM or detailed design files, rebar and concrete batch ledgers, mold table and curing kiln operation records, laboratory test reports, and QR code traceability data. Daily generated documents include component detailed drawings, rebar cutting lists, mold inspection records, pouring and vibration records, curing records, demolding and factory inspection reports.
Data updates occur synchronously per individual component, per batch, or per kiln. Fields include component ID, rebar specification and model, concrete strength grade, curing duration, demolding strength value, factory inspection ID, and others. Units include MPa, hours, pieces, and others.
Constraints Imposed by These Characteristics on Workflow Orchestration
Data sources are scattered and update rhythms vary. The workflow must support parallel pulling and integration of multiple data source nodes, to avoid process interruption caused by single-node blocking.
Field association logic for different components is complex. For example, demolding strength must match the duration parameters of the corresponding curing kiln. The workflow must bind variables to store association rules, to prevent field misalignment.
The requirement for updates per individual component or per batch means the workflow must support flexible startup via trigger nodes, instead of using fixed-cycle triggers. It must also include built-in verification links to intercept missing rebar cutting lists or inspection records, to avoid generating invalid ledgers.
Configuration Settings
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Global Variables | Bind variables to store core fields such as component ID and concrete batch number | Adapt to the field association requirements of multiple data sources, avoid duplicate entry and field misalignment |
| Node Trigger Condition | Bind mold table completion and curing kiln completion nodes via nodeId | Match the update rhythm of per individual component or per batch, start the workflow on demand |
| Form Input Node | Hide dialog boxes in nested applications | Resolve popup display issues during application nesting, meet the silent entry requirement for ledgers |
| Custom Code Call | Bind local Python code functions to handle rebar cutting list verification | Implement custom expansion of business logic, adapt to exclusive verification rules for precast components |
| URL Parameter Passing | Support bringing in variables parameters via shared URLs | Enable parameter transfer across applications, adapt to ledger summary scenarios in multiple contexts |
| Workflow Timeout | 300–600 seconds | Adapt to the ledger summary and report generation duration for single-batch components, avoid process blocking |
| Single Verification Limit | Calibrate based on actual measurements | Adapt to component batch verification requirements of different scales |
Three Common Misconfigurations
- Phenomenon: The form input node popup in nested applications continues to display and cannot hide automatically. Cause: No popup hiding rule is configured for nested workflows, causing the default popup logic to not adapt to sub-application scenarios.
- Phenomenon: Global variables brought in via shared URLs do not take effect, and ledger fields are empty. Cause: The
variablesparameter is not correctly bound to the URL transfer configuration, causing the parameter to fail to be read by the workflow. - Phenomenon: The custom Python code function fails to execute, and the workflow reports an error. Cause: No trigger dependency is configured for the code node in the workflow, causing the process to not call the code logic as expected.
How to Verify Correct Configuration
- Trigger the mold table completion node bound via
nodeId, check whether the workflow starts automatically and no popup appears. - Generate a shared link with test parameters, open it and check whether the corresponding global fields are correctly brought into the ledger.
- Run the custom code node, check whether the workflow log shows that the code execution is successful.
- Verify the generated ledger report, confirm that document data from all sources have been correctly integrated.
The values provided here are common starting points and should be measured against the reader's own samples.