What This Category's Data Looks Like
This category covers factories producing carbonated drinks, fruit juices, tea drinks, functional beverages, and packaged drinking water. Daily documents include formula sheets, water treatment records, mixing records, sterilization or aseptic filling records, packaging material inspection sheets, and finished product inspection reports. Data comes from water source and raw material testing, formula systems, online sugar and acidity monitoring equipment, filling equipment, visual inspection systems, and LIMS systems. Data is updated either per batch, per shift, or through continuous collection. Fields include raw material batch number, sugar and acidity values, filling liquid level, seal tightness, label batch number, and more. Units include mg/L, %, mm, seconds, and others.
What Constraints Do These Characteristics Impose on the "Workflow Orchestration" Link
The multi-source real-time and batch data characteristics of this category require workflows to support parallel access nodes for multiple data sources, adapting to continuously collected online monitoring data and batch-submitted inspection documents. Frequent product switching requires workflows to support quick adjustment of parameters for formula verification rules. Each batch of products requires independent audits, so workflows must generate independent execution instances per production batch to avoid data confusion. Core links such as water treatment and sterilization have strict verification requirements, so workflows must include built-in compliance verification nodes to block indicators that exceed limits before proceeding to subsequent processes. Abnormal link closed-loop processing requires workflows to support exception-triggered branch jumps and manual intervention nodes.
Configuration Settings
This configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow Trigger Mode | Triggered by production batch | Data for this category is generated per production batch, matching batch auditing business logic |
variables configuration | Bind water source batch number and sugar and acidity thresholds | Covers core verification fields for formula sheets and online monitoring data |
| Data Source Access Nodes | Parallel access to LIMS, online monitoring equipment, and packaging material inspection systems | Data for this category comes from multiple systems; parallel processing reduces latency |
| Verification Rule Node | Sugar and acidity allowable range is nominal value ±0.5 mg/L (calibrated based on actual measurements) | Matches formula compliance requirements for beverage production |
nodeId Naming Rule | Name by batch + link (e.g., batch20240501-water) | Facilitates tracking workflow instances for each production link in this category |
| Workflow Export | Supports export in JSON format | Adapts to subsequent archiving and cross-system synchronization requirements |
Three Common Mistakes
- Phenomenon: The workflow export function fails to generate files normally, or the exported format does not meet archiving requirements. Cause: The storage path permission of the export node is not configured, or file naming conflicts occur because the batch naming rules for this category are not followed.
- Phenomenon: The background knowledge configured in
variablescannot cover audit requirements. Cause: Fields unique to this category such as formula sheets and water treatment records are not bound, and the background knowledge only covers general audit logic. - Phenomenon: Database connection error Failed to connect to jyfkk:1433 - 38BBDDC3AF7F0000. Cause: The server address configured in the data source node is an internal test address, which has not been replaced with the production environment LIMS system address, or the port is not open.
How to Confirm the Configuration Is Correct
- Trigger a simulated production batch workflow, and check whether each data source node pulls the corresponding batch's inspection data normally.
- Verify that the fields bound in
variablescan be called normally in the verification node, matching the formula parameters of the current batch. - Simulate a filling liquid level abnormality, and check whether the workflow jumps to the manual review branch and generates an abnormality record.
- Export the current workflow configuration, and confirm that the file format and naming rules meet the archiving requirements of this category.
The values provided are common starting points and should be measured against the reader's own samples.