What This Category’s Data Looks Like
Business data generated by cement plant mining, raw material, calcination, grinding, quality, and energy departments. This includes documents such as raw material batching plans, kiln operation records, laboratory reports, quality control notices, equipment patrol records, and energy reports. Data sources include online composition analysis equipment, DCS systems, laboratory systems, kiln and grinding equipment ledgers, raw and fuel ledgers, and energy metering devices.
Update frequencies cover real-time (such as online composition and DCS operating parameters), shift-based (such as patrol records), and daily (such as energy reports and quality summary reports). Fields include raw and fuel composition, equipment operating parameters, energy consumption values, quality inspection indicators, and more.
What Constraints Do These Characteristics Impose on the "Workflow Orchestration" Link
Data for this category has scattered sources, varied update rhythms, diverse document types, and severe consequences of errors. These characteristics create clear constraints for workflow orchestration. Set up separate access nodes for each data source. This prevents data from different links from being mixed. Configure layered trigger mechanisms to match different update frequencies. This supports immediate audit of real-time data, shift summary of shift-based data, and periodic review of daily data. Preset variable mapping rules for corresponding fields based on document type. This adapts parsing and verification for different business documents. Configure exception branch processes for high-risk error scenarios. This automatically triggers alerts or emergency handling links when data is abnormal.
How to Set the Configuration
The following configurations are based on FastGPT v4.17.0.
| Config Item | Recommended Setting | Rationale |
|---|---|---|
| Trigger Timing | Divided into three trigger types: real-time, shift-based, daily | Matches the update frequencies of online composition analysis, patrol records, and energy reports |
| Data Source Node Identifier | Assign a unique nodeId to each data source | Distinguishes data sources from different links such as raw material, calcination, and grinding, to avoid cross-mixing of data |
| Variable Mapping Rules | Preset the variables field according to document type | Adapts to different data fields of raw material batching plans and laboratory reports, to enable automatic data extraction |
| Form Input Component | Enable variable input support | Adapts to batch entry and verification of laboratory data, matching manual input requirements of business scenarios |
| Exception Branch Threshold | Calibrated based on actual measurements | Matches risk warning requirements for clinker quality fluctuations and kiln system shutdowns, flexibly adapting to parameters of different production sites |
| Timeout Threshold | 600 seconds | Matches transmission delay requirements for real-time DCS data, avoiding process blocking caused by long waiting times |
Three Common Mistakes
- Phenomenon: When publishing a workflow via API call, no user input or selection prompt pops up. Cause: The trigger permission of the user interaction node is not configured in the workflow, or the
variablesparameter for passing interaction requests is not correctly bound. - Phenomenon: An error occurs when configuring the knowledge base ID to be passed in variables. Cause: Parameters are not passed in the preset
variablesfield format, or the knowledge base ID is not mapped in the knowledge base node of the workflow. - Phenomenon: The code running node fails to extract the values of resultTimes and trafficFlowCounts variables. Cause: The
variablesdata of the corresponding fields is not correctly output in the preceding node, or the variable naming does not match the extraction rules of the code node.
How to Confirm the Configuration Is Correct
- Trigger the update of the corresponding data source, to check whether the workflow starts automatically at the preset time.
- Call the API to test the interaction node, confirm that the corresponding form or selection prompt pops up.
- Pass the preset
variablesparameter, to check whether the variables are correctly mapped to the workflow nodes. - Simulate abnormal data input, to confirm whether the exception branch triggers the preset alert or processing flow.
The values provided here are common starting points and should be evaluated against the reader's own samples.