What data for this category looks like
Data for this category comes from engineering orders, sand, gravel, cement admixture testing, moisture content measurement, mixing plant control systems, and laboratories. Daily documents include mix proportion notices, opening identification records, production and transport slips, raw material inspection records, test block ledgers, and strength reports. Data update frequency follows per-vehicle production batches, per-batch raw material arrivals, and daily laboratory tests. Core fields include aggregate moisture content, mix proportion water usage, slump, and concrete strength grade, with corresponding units of percentage, kilogram, millimeter, and megapascal.
Constraints on HTTP interfaces and external systems
High-frequency per-vehicle data updates require interfaces to have low-latency response capabilities to avoid disrupting production scheduling. Multiple data sources require unified field mapping rules to adapt to different data formats of mixing plant control systems and laboratory testing systems. Daily batch raw material inspection data needs pagination pull interfaces to avoid overloading single requests with data volume. Compliance documents such as test block strength reports must carry standardized fields, and interfaces must verify the completeness of required items. Real-time synchronization requirements for transportation and pouring require interfaces to support scheduled polling or lightweight long connections to prevent production deviations caused by data lag.
Configuration settings
The following configurations apply to FastGPT v4.17.0.
| Configuration item | Recommended setting | Rationale for this setting |
|---|---|---|
| Interface authentication method | Set Authorization to Bearer token, set token validity period to 7200 seconds | Adapts to the API authentication specifications of mixing plant control systems, avoids frequent token refreshes that disrupt production processes |
| Context variable binding | Enable variables binding, bind mixing plant ID and aggregate moisture content as dynamic parameters | Automatically matches process specifications for the corresponding production batch, reduces compliance risks from manual input |
| Response data format | Set responseData to structured JSON, only return matching technical standard entries | Adapts to the parsing logic of external scheduling systems, avoids redundant data increasing processing burden |
| Request timeout period | Set to 300 seconds | Adapts to batch raw material inspection data pull scenarios, avoids timeouts triggered by large data volumes |
| Single request limit | Set to the first 20 entries | Balances the pull efficiency of daily batch data and the processing capacity of external systems |
Three common misconfigurations
- Phenomenon: The process specifications returned after the external system calls the interface do not include real-time slump correction parameters. Cause: The current aggregate moisture content variable was not bound in
variables, causing the matched standard to not adapt to actual production conditions. - Phenomenon: A 504 timeout error is triggered when pulling batch raw material inspection data. Cause: The request timeout period was set to 120 seconds, which does not adapt to batch data pull requirements.
- Phenomenon: Uploaded mix proportion notice images cannot load properly in the external system. Cause: The standardized file identification format required by
responseDatawas not returned, causing external parsing failures.
How to verify correct configuration
- Send a test request carrying the
variablesparameter bound to the current mixing plant ID and real-time aggregate moisture content, check if the returned process specifications include the corresponding slump correction requirements. - Simulate a batch raw material inspection data request, confirm that the interface returns structured
responseDatawithin 300 seconds, with no timeouts or data truncation. - Call the authentication interface, verify the validity period and permission scope of the
Authorizationtoken, ensure that external systems can initiate requests normally. - Upload a test mix proportion notice image, check that the external system can normally parse the returned file information with no format errors.
The values provided are common starting points and should be measured against the reader's own samples.