Coal-Power Integrated Business Inquiry and Response: Workflow Orchestration

Coal-Power Integrated Business Inquiry and Response: Workflow Orchestration

What the data for this category looks like

Coal-power integrated business data sources include mine production monitoring systems, power unit operation logs, cross-sector collaborative approval documents, and inquiry ticket databases. Production data is pushed in near-real time. Approval and inquiry data updates align with workflow node updates. Document structure is split into three modules: coal mining, power dispatch, and cross-sector collaboration. Each document includes fields such as mine number, unit model, approval status, inquiry matter, and response time limit. Units include tons, megawatts, hours, pieces, and others.

What constraints these characteristics impose on workflow orchestration

Dispersed data sources require workflows to be configured with multiple knowledge base association logic, to ensure cross-sector inquiries can call corresponding data sources. Near-real-time data updates require workflow node search frequencies to match this rhythm, preventing retrieval of expired information. Multi-field document structures require variable references to accurately match business fields, avoiding extraction of invalid content. Cross-sector business attributes require workflows to set branch judgments, to call corresponding processing logic based on the sector an inquiry belongs to.

Configuration Settings

Reference only; verify against the target FastGPT release and deployment documentation.

Configuration ItemRecommended SettingRationale
variablesPass business type, mine number, unit IDMatch data classification rules for coal-power integrated multi-business sectors, to accurately associate corresponding knowledge bases
Single search limitTop 8 entriesCoal and power business has a large volume of data entries, limiting returned entries avoids workflow overload
Maximum context800–1200 charactersInquiry content mostly consists of cross-sector process descriptions, overly long context interferes with model understanding
Timeout setting60 secondsCoal and power business inquiries require rapid response, overly long timeout negatively impacts user experience
nodeIdBind dedicated nodes for coal/power sectorsDistinguish workflow branches for different businesses, ensuring inquiries from corresponding sectors call correct data

Three Common Configuration Errors

  • Phenomenon: Audio and video tags inserted in workflow reply nodes do not render properly, only displaying raw tag code. Cause: The workflow's rich text rendering switch is not enabled, or the node configuration does not enable HTML tag parsing.
  • Phenomenon: When selecting a knowledge base as a variable reference in the knowledge base search node configuration, the variable passed via the API does not take effect, returning default knowledge base results. Cause: The knowledge base ID variable is not correctly declared in the workflow's variables, or the variable transfer format does not meet requirements.
  • Phenomenon: Text content extraction node returns empty values or incorrect fields. Cause: The specific field format of coal-power business documents is not matched, and corresponding rules for extracting approval status and unit operation parameters are not specified.

How to Confirm Successful Configuration

  • Manually trigger the workflow, pass test variables parameters. Verify that results returned by the knowledge base search node match the specified knowledge base.
  • Insert test audio and video tags. Check that the preview content of the specified reply node renders normally.
  • Submit test text containing coal-power business fields. Confirm that the text content extraction node returns correct field values.
  • View workflow run logs. Verify that the branch node corresponding to nodeId is triggered correctly based on business type.

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

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.