What Data for This Category Looks Like
Wind power due diligence reports draw data from wind farm operation and maintenance logs, real-time SCADA data collected from wind turbines, project environmental impact assessment (EIA) documents, grid connection acceptance reports, and regular inspection reports for towers and blades. Data update frequencies fall into three categories:
- Operation and maintenance logs and SCADA data are updated daily or in real time.
- EIA and grid connection acceptance documents are static data created when a project is completed.
- Inspection reports are updated every six months or annually.
Document structure typically includes four modules: basic project information, single wind turbine parameters, operation and maintenance statistics, and compliance documents. Exclusive parameters include single-unit capacity (unit: MW), hub height (unit: meters), power generation (unit: kilowatt-hours), tower wall thickness (unit: millimeters), and other similar fields.
Constraints Imposed on Multiturn Dialogue and Prompt Engineering
Wind power due diligence data has scattered sources and large differences in update frequencies. Multiturn dialogue must gradually clarify the required data type and time range. One-time requests for cross-category data may cause model confusion. Individual due diligence report documents are lengthy. Multiturn dialogue must retain sufficient context windows to carry core parameters of multi-turn interactions. It must also limit the mixing of redundant information.
Wind power data has exclusive units and field naming conventions. Prompt engineering must clearly specify unit rules to prevent the model from forgetting constraints during multi-turn interactions. Static compliance data and dynamic operation and maintenance data must be called separately. Multiturn dialogue must regularly clean mixed historical data to prevent output of incorrect outdated information.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Individual wind power due diligence reports often exceed 5000 characters. Multiturn dialogue must retain core parameters and historical interaction logic for multiple rounds of conversation |
similarity_threshold | 0.72–0.78 | Wind power data has many fields with similar names (such as power generation and grid-connected power generation). Low-match redundant content must be filtered out |
recall_top_k | Top 6–8 entries | Wind power due diligence requires coverage of three core types of information: wind turbine parameters, operation and maintenance data, and compliance documents. A sufficient number of knowledge base entries must be recalled |
re_rank_top_k | Top 3–5 entries | Retain the most relevant entries after reranking recalled results, to avoid mixing irrelevant historical operation and maintenance logs in multiturn dialogue |
prompt_template | Template with wind power exclusive unit instructions | Clearly specify that wind turbine capacity unit is MW and power generation unit is kilowatt-hours, to prevent model confusion in unit descriptions |
context_auto_clean | Triggered when keywords such as "compliance" or "new wind turbine parameters" are detected | Static compliance data and dynamic operation and maintenance data must be stored separately in wind power due diligence to avoid context mixing |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: After more than 3 cumulative turns of multiturn dialogue, the returned due diligence data fields lack units. Cause: Wind power exclusive unit rules are not clearly specified in the prompt. The model gradually forgets unit constraints, leading to confusion between MW and kW, kilowatt-hours and megawatt-hours in output.
- Phenomenon: No authentication is performed after sharing a conversation link, allowing any user to view due diligence data. Cause: Authentication configuration for conversation sharing is not enabled, and default public sharing parameters are used directly.
- Phenomenon: Context history cannot be cleared after triggering the condition judgment. Cause: Trigger keywords or thresholds for automatic context clearing are not correctly configured, causing the system to fail to recognize the clearing instruction.
How to Confirm Proper Configuration
- Upload a wind power due diligence report, initiate the first round of query "Extract single wind turbine capacity", and check whether the returned result includes the correct unit.
- Initiate 5 consecutive queries related to wind power parameters, and check whether the context retains key information without mixing irrelevant content.
- Trigger preset context clearing keywords, and check whether the conversation history is cleared.
- Generate a conversation sharing link, verify that authentication configuration takes effect, and unauthorized users cannot access the link content.
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.