Inspection and Process Record Review for Forging and Die Forging: HTTP Interfaces and External Systems

Data for this category comes from raw material quality certificates, heating furnace systems, press collection data, MES, non-destructive testing

What data looks like for this category

Data for this category comes from raw material quality certificates, heating furnace systems, press collection data, MES, non-destructive testing equipment, and customer forging drawings. Key parameters related to controlled plastic deformation include forging ratio, fiber direction, and others. Data update frequency is per forging part, per batch, or per furnace run. Daily documents include forging process specifications, cutting lists, heating furnace records, forging process cards, mold life records, heat treatment commissioning slips, and ultrasonic testing reports. Most fields include batch identifiers, process parameters, test results, and equipment operation data. No additional statistical percentages or non-business-related quantitative values are included.

What constraints these characteristics impose on HTTP interfaces and external systems

Data sources for this category are scattered, and field differences are significant. Interfaces must support parameter formats from multiple industrial systems to avoid field mapping errors. Unlike solidification defect data collection for casting categories, this category requires focused transmission of parameters such as forging ratio and fiber direction. The high-frequency update rhythm requires interfaces to support batch or high-frequency calls to adapt to data synchronization needs per furnace run or batch. Transmission of key quality parameters must ensure completeness. Interfaces must support parameter verification and exception capture. At the same time, because serious consequences such as forging part scrapping are involved, interface identity verification must be strict. Authentication information must be configured to complete access control. Response delays vary across different industrial systems, so reasonable response time margins must be reserved.

How to configure

This configuration applies to FastGPT v4.17.0.

Configuration ItemRecommended SettingRationale
AuthorizationBearer {Industrial System Authentication Token}Adapts to the authentication specifications of industrial external systems, ensuring the legality of interface calls
variablesIncludes fields such as batch number, furnace batch number, and test defect type, filled according to actual collected dataMatches the business data structure of forging and die forging, enabling global transmission and reuse of parameters
responseDataConfigured according to the actual returned field format, calibrated based on actual testingAdapts to the core data fields of this category, ensuring returned data can be parsed by subsequent processes
Interface timeout300–600 secondsAdapts to data collection and transmission delays of industrial systems, avoiding data synchronization interruptions due to timeouts
Request retry count2–3 timesAddresses request failures caused by industrial network fluctuations, ensuring data transmission stability

Three common mistakes

  • Phenomenon: The interface call returns a parameter error prompt, and the variables field does not include the required furnace batch number or batch number. Cause: Global variables are not configured according to the business data structure of forging and die forging, and core business identifier fields are omitted.
  • Phenomenon: The interface call times out, returning a 504 status code. Cause: The timeout setting is not adjusted, the default short timeout duration is used, and the delay of data collection by industrial systems is not adapted.
  • Phenomenon: After embedding an HTTP request in a loop nest, batch data is duplicated or lost. Cause: The batch identifier in variables is not correctly passed within the loop, leading to context overwriting or parameter misalignment.

How to confirm the configuration is complete

  • Call the configured test interface, check whether the fields returned in responseData cover the core data items required for forging and die forging business.
  • Simulate high-frequency calls for multiple batches or furnace runs, verify the response stability of the interface in actual business scenarios.
  • Check the configuration format of the Authorization header, ensure that unauthorized requests cannot access the interface normally.
  • Adjust the timeout setting, simulate the delay scenario of industrial systems, and verify that interface calls do not fail due to timeouts.

The values given are common starting points and should be measured against the reader's own samples.