What the Data for This Category Looks Like
Wind power intelligent due diligence report data primarily comes from wind power project approval environmental impact assessment documents, operation and maintenance logs of wind turbine towers, blades and generators, on-site inspection ledgers, power grid dispatch power generation statistics, and third-party testing agency equipment performance test reports. A single due diligence document usually includes four modules: basic project information, equipment operating parameters, operation and maintenance history, and financial calculations. Core fields include unit number, installed capacity, real-time wind speed, daily power generation, fault code and maintenance duration. Corresponding units are megawatt (MW), meters per second (m/s), kilowatt-hour (kWh) and hour (h). Data update frequency varies by module. Operation and maintenance logs and power generation data update daily. Basic project information only updates when a project is approved or equipment is upgraded.
What Constraints These Characteristics Impose on the Model Access and Configuration Link
Wind power due diligence data includes structured operation parameters, unstructured documents and images. This requires the model access link to support parsing and adaptation for multi-source formats. Specific fields have dedicated units, so field mapping rules must be configured to ensure unit recognition and normalization. Data update frequencies have layered differences, so recall trigger logic must be adjusted to match the update rhythms of real-time and static data. The fixed document module structure allows configuring segmented recall parameters to prioritize matching core information of corresponding modules, avoiding interference from irrelevant cross-module content. In addition, some equipment fault codes are fixed-format numeric strings. Entity recognition rules for the model must be configured to ensure the codes are accurately identified rather than split into ordinary numbers.
How to Set the Configuration
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Wind power due diligence documents contain multi-page unstructured content, requiring sufficient time to complete full parsing |
maxContext | 8000–16000 characters | Must carry equipment parameters, operation records and project background information simultaneously to avoid truncation of core content |
RECALL_CHUNK_SIZE | 1000–1500 characters | Matches the average length of single-module documents, ensuring core information of each module is fully recalled |
SIMILARITY_THRESHOLD | 0.85–0.95 | Must filter low-relevance non-equipment content to ensure recall accuracy of core operation parameters |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Supports uploading single large inspection ledgers or multi-page environmental impact assessment reports |
CASDOOR_AUTH_ENABLED | Enabled | Due diligence data for wind power projects usually involves sensitive internal enterprise information, requiring access restrictions via identity verification |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require targeted analysis, and testing on local samples prior to final configuration is advised.
Three Common Configuration Mistakes
- Phenomenon: When batch uploading wind power due diligence documents, the first 10 or more documents parse normally, but subsequent documents fail to parse or have empty fields. Cause: The configurations of
UPLOAD_FILE_MAX_SIZEandPARSE_FILE_TIMEOUT_SECONDSare not adjusted, and the subsequent document volume or parsing time exceeds the default thresholds. - Phenomenon: When attempting to connect to overseas large models, the interface call returns
403 Forbiddenor401 Unauthorizedstatus codes. Cause: Platform regional proxy or key verification rules are not configured, and model access permissions in some regions are restricted. - Phenomenon: After configuring Casdoor identity verification, the system login interface fails to redirect normally or prompts insufficient permissions. Cause: The correct callback address is not configured in the Casdoor backend, or the permission switch corresponding to the FastGPT
CASDOOR_AUTH_ENABLEDparameter is not enabled.
How to Confirm the Configuration Is Complete
- Upload a standard wind power due diligence document, check if the parsed result fields include the preset core business fields, and verify that the field units match the original data.
- Initiate a query related to wind power equipment content, confirm that the number of returned results conforms to the set recall rules.
- Test the front-end embedding code, confirm that the FastGPT chat box loads normally and initiates conversations correctly on the deployed website.
- Test the identity verification configuration, confirm that authorized accounts can access normally, and unauthorized accounts cannot enter the system.
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.