What data this category includes
Data for this category comes from online composition analysis equipment, DCS control systems, laboratories, kiln and grinding equipment, raw and fuel ledgers, and energy metering systems. Daily associated documents include raw meal batching plans, kiln operation records, test reports, quality control notices, equipment inspection records, and energy reports.
Data update frequencies fall into three categories: real-time, per shift, and daily. It covers raw and fuel composition, equipment operating parameters, quality test results, and energy consumption data. Fields include material ratios, kiln temperature, clinker strength, equipment inspection frequency, and more. Units include degrees Celsius, megapascals, tons, and other standard industrial units.
Constraints on HTTP Interfaces and External Systems
The multi-source, heterogeneous real-time and scheduled data of this category requires HTTP interfaces to support mixed call frequencies. This supports real-time short-interval requests from online composition analysis equipment, and adapts to batch pulls of daily energy reports.
Differences in field definitions across business scenarios require interface parameters to flexibly match exclusive fields such as raw meal ratio and clinker strength. Large gaps in data update frequencies require reasonable timeout and retry strategies. These strategies prevent excessive industrial system resource usage from high-frequency real-time requests, or timeouts from low-frequency report requests.
Production links have strict data accuracy requirements. Interface call failures require fast synchronous alerts to prevent quality fluctuations caused by missing data.
Configuration Settings
This document is written for FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Bearer {enterprise-specific API key} | DCS and laboratory systems connected to this category mostly use Bearer token authentication to ensure data transmission security |
variables | {"data_category": ["raw_material", "clinker", "energy"]} | Matches the three core data categories of this category, enabling dynamic interface calls based on business scenarios |
| Request timeout period | 30–60 seconds | Real-time parameter requests require fast responses, while daily batch report requests can be extended to 60 seconds. Adjust based on actual measurement calibration |
responseData | Extract fields for batching ratio, kiln temperature, clinker strength | The core of this category's audit is batching rationality, kiln temperature stability, and clinker strength. Only extracting necessary fields reduces transmission load |
| Retry count | 2 times | Avoids occupying industrial system resources from repeated calls due to network fluctuations, and adapts to the real-time data requirements of this category |
| Single packet data limit | 1000 MB | Adapts to the batch data transmission needs of daily energy reports for this category, preventing interface errors caused by oversized data |
Three Common Configuration Mistakes
- Phenomenon: The HTTP module returns a 400 status code, and the interface call fails. Cause: The
Authorizationparameter is not configured correctly, and an expired enterprise API key is used, which fails the authentication check of the industrial system. - Phenomenon: After the workflow connects to an external system, only the first node is executed, and subsequent processes are interrupted. Cause: The
variablesparameter is not set to match the data update frequency of this category, and the interface request timeout does not trigger a retry, causing subsequent nodes to fail to obtain necessary data. - Phenomenon: The HTTP module returns empty data fields, and the quality audit logic cannot be completed. Cause: The
responseDataconfiguration does not include the core clinker strength and batching ratio fields of this category, or the report format pulled by the interface does not match the configuration.
How to Verify Successful Configuration
- Call the test interface and check if the returned
responseDataincludes the core batching ratio, kiln temperature, and clinker strength fields of this category. - Simulate requests for different data categories, and confirm that the interface can return corresponding types of data according to the parameters configured in
variables. - Replace the
Authorizationparameter with an invalid key, and confirm that the interface returns an authentication failure prompt to verify that the authentication configuration is correct. - Observe the timeout and retry status of interface calls, and confirm that they match the preset time and count configurations.
The values provided are common starting points and should be measured against the reader's own samples.