Quality Problem Traceability and Defect Analysis for Petroleum Refining: HTTP Interfaces and External Systems

Data for petroleum refining quality traceability and defect analysis comes from DCS/APC control systems, LIMS laboratory management systems, tank farm

What This Category of Data Looks Like

Data for petroleum refining quality traceability and defect analysis comes from DCS/APC control systems, LIMS laboratory management systems, tank farm metering systems, crude oil evaluation databases, equipment management systems, and energy systems. Daily documents include operating procedures, production plans, material balance reports, distillate outlet quality reports, interlock logs, shift handover records, and change management documents. Data update cycles cover real-time, shift-based, and daily frequencies. Fields include distillation range, flash point, sulfur content, and others, with corresponding units such as ℃, mg/kg, and others.

Multiple data source systems require HTTP interfaces to support cross-system requests across multiple endpoints and adapt to authentication rules for different systems. Real-time, shift-based, and daily update cycles require interfaces to distinguish synchronization frequencies; real-time data interfaces must set reasonable polling intervals or maintain long connections. Diverse document and field types require interfaces to support transmission of both structured and unstructured data, with fields matching dedicated parameters for petroleum refining business. Associated data requirements for coupled units require interfaces to support carrying association identifiers to enable linked traceability of cross-unit data.

How to Configure the Settings

This configuration is based on FastGPT v4.17.0.

Configuration ItemRecommended SettingRationale
AuthorizationBearer {Enterprise Industrial System Exclusive Token}Connecting to internal systems such as DCS and LIMS requires unified identity authentication, which meets the security access requirements of industrial scenarios
variablesPass in refining business variables such as {"crude_type": "", "shift_time": ""}Adapt to quality data filtering requirements for different crude oil types and shifts
responseDataOnly return the fields flash_point, distillation_range, sulfur_contentReduce invalid data transmission and improve interface response efficiency
Timeout Setting600 secondsMeet the time-consuming requirements of processing batch data requests such as crude oil evaluation and material balance
Retry StrategyRetry 3 times after failure, with a 30-second intervalAddress temporary connection abnormalities caused by industrial network fluctuations
Data Encoding FormatUTF-8Support multi-language business fields and unit identifiers

Three Common Configuration Mistakes

  • Phenomenon: Unable to specify dedicated parameters for document parsing when calling the interface, and the returned refining report parsing results do not meet business requirements. Cause: No parsing rule variables configured in variables, and the parsing requirements for refining-specific documents not passed to the external system.
  • Phenomenon: Timeout error triggered when obtaining LIMS quality data via HTTP request. Cause: The timeout setting not adjusted according to the update cycle of real-time data, and the interface timeout set to an excessively short duration that cannot cover the batch data processing cycle.
  • Phenomenon: undefined error returned when calling the interface, with no clear error message. Cause: Authorization parameter not configured correctly, causing the external system to reject authentication and return undefined response content.

How to Confirm the Configuration Is Correct

  • Initiate a test request, pass preset refining business variables, and check whether the fields returned in responseData match the preset quality traceability fields.
  • Simulate a batch data request, check whether the interface response duration meets business requirements, and adjust the timeout setting to cover normal request cycles.
  • After configuring the Authorization parameter, initiate a request to confirm that the external system returns valid business data with no authentication-related errors.
  • Simulate a single request failure scenario, check whether the interface performs retry operations according to the configured retry strategy, and verify that the failure handling logic takes effect.

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