Workflow Orchestration for Wind Power Financial Report Analysis

This scenario supports financial report analysis needs for wind power enterprises in the finance, insurance, and wealth management industries. Data

What the Data for This Scenario Looks Like

This scenario supports financial report analysis needs for wind power enterprises in the finance, insurance, and wealth management industries. Data sources include public periodic financial reports of wind turbine manufacturers and wind farm operators, grid connection settlement vouchers, and on-site operation and maintenance logs. Update cycles follow monthly operation data, and concentrated disclosure of quarterly and annual financial reports. The document structure is divided into two categories: structured financial report tables and unstructured operation descriptions, operation and maintenance ledgers. Structured tables include fields such as installed capacity, power generation, revenue proportion, and more. Unstructured content includes project progress, operation and maintenance plan descriptions. Field units include industry-specific units such as megawatt (MW), megawatt-hour (MWh), yuan per kilowatt, and more. Some internal operation and maintenance data must be exported from on-site systems and added to the analysis process.

What Constraints These Characteristics Impose on Workflow Orchestration

Multi-source data requires the workflow to support cross-data source variable reference and merging logic, to avoid errors from manual data splicing. Data sources with different update cycles need time window alignment nodes configured, to ensure that monthly operation data and quarterly financial reports have matching time dimensions. The mixed document structure of structured and unstructured data requires the workflow to configure both table parsing nodes and text extraction nodes, to adapt to content extraction in different formats. Industry-specific fields and units require built-in verification nodes to filter invalid data, to avoid unit confusion in analysis results. The consolidated report requirement for cross-regional wind farms requires the workflow to support multi-entity data summarization logic, to adapt to the analysis scenarios of group-owned wind power enterprises.

How to Set Configurations

Configuration ItemRecommended ApproachRationale
Knowledge Base Selection MethodVariable reference + fixed knowledge base combinationWind power financial report data is scattered across publicly disclosed databases and internal operation and maintenance databases. Variable reference allows specifying the incoming knowledge base ID during invocation, while binding a fixed industry terminology library
PARSE_FILE_TIMEOUT_SECONDS300 secondsWind power financial reports include multi-page tables and long-text operation and maintenance logs. The default timeout duration is insufficient to complete full parsing
Number of Retrieved EntriesTop 8 entriesCore analysis fields of wind power financial reports are concentrated in three categories: revenue, power generation, and costs. Too many retrieved entries will introduce irrelevant operation and maintenance details
Text Chunk Length1000–1200 charactersThe length of single records in wind power operation and maintenance logs varies widely. This range balances parsing accuracy and node execution efficiency
Similarity Threshold0.75Industry-specific terms for wind power (such as hub height, pitch control) have high semantic similarity. A higher threshold is required to filter irrelevant matching results
Workflow Trigger ConditionTime cycle + manual triggerFinancial report disclosure cycles are fixed, and temporary analysis of monthly operation data for specific wind farms is also supported

The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing the settings.

Three Common Misconfigurations

  • Phenomenon: When embedding markdown content in a workflow, adding <audio> or <video> tags results in the rendered output retaining the original tag code without playback controls. Cause: Markdown rendering nodes prior to and including version 4.8.20 do not support parsing and rendering audio and video tags, and only support basic text, table, and image markup.
  • Phenomenon: When configuring a Knowledge Base Search node, binding the knowledge base selection to a workflow input variable returns an empty result set after execution. Cause: The workflow's parameter configuration does not verify the legality of the incoming knowledge base ID, or the incoming ID does not correspond to an existing wind power financial report-specific knowledge base.
  • Phenomenon: The text content extraction node returns a parsing error after execution, or the extracted fields do not match the expected results. Cause: No dedicated prompt for the model is configured for the specific fields of wind power financial reports. Generic prompts cannot accurately identify fields corresponding to industry-specific units such as megawatt (MW) and megawatt-hour (MWh).

How to Confirm Proper Configuration

  • Execute a workflow test case, pass a preset wind power financial report document, and check whether the results returned by the nodes include core analysis fields such as installed capacity and grid-connected power generation.
  • View the workflow execution log to confirm that no timeout errors or parameter verification failure prompts appear.
  • Check the output content of the markdown rendering node to confirm that embedded text and tables are displayed normally, with no residual original tags.
  • Verify the variable reference knowledge base switching function, pass different knowledge base IDs, and confirm that the node can correctly load content from the corresponding data source.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.