What data for this category looks like
Core data for this category comes from formula systems, raw material batch management, internal mixers, Mooney viscometers, rheometers, vulcanizing machines, and laboratory testing equipment. Daily documents include formula sheets, weighing records, mixing curves, rubber compound quick test reports, vulcanization process cards, mold usage records, and finished product performance test reports. Data updates occur per raw material truck batch, per batch of mixed rubber compound, and per vulcanized product per mold run. Fields include batch number, feeding amount (kg), mixing temperature (℃), vulcanization time (minutes), and more. Some time-series data such as mixing curves include continuous temperature and torque records.
What constraints these characteristics impose on the "HTTP Interfaces and External Systems" link
This category has high-frequency data updates and scattered data sources, requiring interfaces to support low-latency high-volume calls to avoid production process interruptions due to timeouts. Data formats vary across multiple devices and systems, so interfaces must meet parsing requirements for structured fields and time-series data. The business consequences of a single data association are severe, so interfaces must have reliable failure retry and exception reporting mechanisms to prevent rubber compound scrap or unqualified products caused by data transfer errors. At the same time, the uniqueness requirement for business fields means interfaces must support dynamic parameter binding to ensure correct matching of mixing and vulcanization data across different batches.
How to configure the settings
This configuration applies to FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Authorization | Bearer {Factory Equipment API Key} | Complies with authentication standards for industrial external systems to prevent unauthorized interface calls |
variables | {"batchId": "{{input.batchNo}}", "mixTempRange": [138, 162]} | Adapts to batch identification and temperature verification business fields for rubber mixing |
responseData | {"checkPass": "$.result.status", "errDetail": "$.error.msg"} | Matches structured result fields returned by industrial inspection equipment |
| Request timeout | 600 seconds | Covers the typical time range for a single batch of mixing and vulcanization, with reasonable buffer reserved |
| Retry count | 3 times | Addresses occasional network fluctuations on industrial sites, reducing the impact of single request failures |
Three common configuration mistakes
- An interface call that includes specific batch parameters returns a large model API error, while in-app testing works normally. The cause is that the
variablesfield of the interface request is not correctly bound to the dynamic parameters of the mixing batch, resulting in missing parameters during large model calls. - An error indicating unsupported file type is returned when connecting to an external document system. The cause is failure to convert CSV format mixing curves or PDF format vulcanization process cards to standard formats supported by the system, or failure to configure parsing rules for the corresponding formats.
- Testing passes when connecting to a locally deployed model, but formal calls fail. The cause is that the API port of the local model is not open for external access, or the
Authorizationfield does not include the access token for the local model, preventing normal calls from external systems.
How to confirm the configuration is complete
- Manually construct a request body that includes a real mixing batch number, call the interface, and check if the
responseDatacorrectly parses inspection results and exception information. - Simulate high-frequency requests that match the business update frequency, verify interface stability, with judgment criteria calibrated according to actual production rhythms.
- Check if the format of the
Authorizationfield meets authentication requirements, avoiding authentication failures caused by incorrect key formatting. - Import a time-series data file for mixing curves, verify that the interface can correctly read and process continuous temperature and torque fields.
The values provided are common starting points and should be measured against the reader's own samples.