What the data for this category looks like
The core entities in this category are suppliers of braking, steering, chassis, interior and exterior trim, and powertrain components. Daily documents include control plans, process flowcharts, work instructions, first-piece and patrol inspection records, SPC reports, PPAP materials, and 8D reports. Data sources include customer drawings and special characteristic lists, ERP/MES systems, measuring tools, equipment process parameters, and supplier quality certificates. Update frequency follows per batch, per shift, or continuous collection. Data fields include special characteristic parameters, batch numbers, test values, equipment operating status, and more. Units cover standardized industrial parameter formats such as millimeters, newton meters, batch numbers, and others.
What constraints these characteristics impose on the "workflow orchestration" link
Multi-source data access requires workflows to configure multiple nodes to connect to different systems. This prevents data omissions or inconsistent formatting. Frequently updated business data requires node trigger conditions to match the production rhythm of each batch or shift. This ensures the process starts only after valid data is generated. Diverse business documents require workflows to adapt to input in different formats. Workflows must also retain complete traceability fields to meet the quality system requirements of vehicle customers. The business goal of batch consistency requires workflows to include anomaly verification nodes. This ensures uniform inspection parameters for each batch of components.
How to set the configuration
| Configuration Item | Recommended Setting | Rationale for This Setting |
|---|---|---|
| System configuration node Base URL | Correspond to the API root address of the enterprise's internal MES system, in the format http://[domain]/api/v1 | Standard configuration requirements for connecting business data sources |
| HTTP Response JSONPath Extraction Rule | Configure according to business field hierarchy, for example $.inspection.batchNo | Accurately extract core fields such as batch numbers and test values |
Variable Definition variables | Classify by batch, inspection item, and anomaly type, up to 20 variable groups | Distinguish inspection parameters for different component categories, facilitating calls by downstream nodes |
Node Trigger Condition nodeId | Bind the ID of the first-piece inspection completion node | Ensure the process starts the batch inspection process only after the first piece is qualified |
| Workflow Export Settings | Check full logs and variable records, export file size does not exceed 1000 MB | Meet the quality traceability and compliance requirements of vehicle customers |
| Problem Classification Node Background Knowledge | Import structured content of control plans and special characteristic lists | Match classification rules for business scenarios, improving classification accuracy |
Three Common Mistakes
- Phenomenon: The system configuration node reports a connection timeout error, or fails to obtain business data. Cause: The Base URL is not filled in correctly, the access permission for the corresponding system is not configured, or the API docking specifications of FastGPT v4.17.0 are not matched.
- Phenomenon: The variables extracted by the HTTP request node are empty, and downstream nodes cannot call them normally. Cause: The JSONPath extraction rule is not configured correctly, or the extracted variables are not declared in
variables, causing the variables to not be recognized by the system. - Phenomenon: The exported workflow cannot be reused on other production lines, or key traceability fields are missing. Cause: The export options for full logs and variable records are not checked, and special characteristic fields are not included in the
variablesconfiguration.
How to Confirm the Configuration is Complete
- Trigger the first-piece inspection node, check whether the workflow automatically starts the subsequent batch inspection process according to the configured
nodeId. - Send simulated inspection data to the HTTP request node, verify that the correct variables can be extracted via JSONPath and passed to downstream nodes.
- Export the workflow configuration, check that all configured
variablesand node settings are included. - Import the workflow into the test environment, verify that it can run normally and generate inspection records that meet business requirements.
The values provided are common starting points and should be evaluated against the reader's own samples.