What the data for this category looks like
Beverage and bottled water production core data covers end-to-end processes for carbonated, juice, tea, functional beverage, and packaged drinking water factories. Daily documents include recipe sheets, water treatment records, blending records, sterilization or aseptic filling records, packaging material inspection records, and finished product inspection records. Data sources include water source and raw material testing systems, recipe management systems, online sugar and acidity monitoring equipment, filling equipment, visual inspection equipment, and LIMS systems. Data update frequency varies by production stage. Feeding and inspection data updates per batch. Water treatment and online monitoring data is collected per shift or continuously. Document fields include quantitative testing indicators, feeding parameters, and batch information. Units are determined based on corresponding testing items and process parameters.
Constraints Imposed by These Characteristics on HTTP Interfaces and External Systems
The characteristics of process data from beverage and bottled water production create multiple constraints for HTTP interface and external system integration. Multiple heterogeneous data sources require interfaces to support connections with different types of external systems. Unified authentication methods and data format adaptation are required. Differentiated update frequencies across production stages require interfaces to support both batch pulling of historical data and real-time pushing of online monitoring data. Specific feeding, testing, and batch fields included in process documents require interface parameters to match the naming rules of corresponding business fields. Severe consequences of production errors require interfaces to have complete failure retry and exception alert mechanisms. The characteristics of high-speed liquid filling and synchronized formula packaging require interface latency to be kept within a reasonable range.
How to Configure Settings
| Configuration Item | Recommended Practice | Rationale |
|---|---|---|
| Authentication method | Authorization header carries Bearer token | Complies with FastGPT v4.17.0 interface configuration specifications, and adapts to multi-source system integration needs |
| Request timeout | 10–30 seconds | Matches real-time push latency requirements for online monitoring data, avoids long waits that disrupt production processes |
| Return data format | JSON format | Compatible with universal data output formats for LIMS and equipment systems, simplifies parsing of process and inspection fields |
| Historical information parameters | variables carries batch number and testing item | Accurately matches business scenarios for querying process specifications by batch, reduces the scope of returned data |
| Retry count | First 3 attempts | Addresses common exceptions such as temporary disconnections of filling equipment, avoids repeated requests that increase system load |
| Exception alert configuration | Calibrated based on actual measurements | Adapts to differences in alert thresholds across factories, matches the severity of consequences from production errors |
Three Common Configuration Mistakes
- Empty interface return fields. Phenomenon: After calling the HTTP interface, the returned
responseDatadoes not include expected feeding quantities or testing values. Cause: Correct batch number or testing item ID is not specified in request parameters, so external systems cannot match corresponding production data. - Request timeout. Phenomenon: The interface returns request timeout status codes 504 or 408. Cause: Request timeout is set too short, cannot cover real-time data pulling latency for high-speed filling stages, or external system load is temporarily high.
- Authentication failure. Phenomenon: The interface returns an
Authorizationauthentication error prompt. Cause: Bearer token is not carried correctly or has expired, and the authentication refresh mechanism for external systems is not adapted.
How to Confirm Correct Configuration
- Send a single batch data query request, verify whether the returned
responseDatafields include recipe, water treatment, and other document data for the corresponding batch. - Simulate a real-time data push scenario, verify whether the interface can complete data reception and parsing within 10 seconds.
- Trigger an authentication failure scenario, verify whether the system correctly returns an authentication error prompt.
- Configure exception retry logic, simulate a temporary disconnection scenario, verify whether the system executes retries according to the preset number of attempts.
All provided configuration values are common starting points. They should be evaluated against local production samples.