What the Data for This Category Looks Like
Data related to wind power marketing comes from wind turbine parameter manuals provided by manufacturers, wind farm feasibility study reports, regional wind resource assessment documents, marketing project case libraries, and potential customer qualification data. There are three update frequency categories:
- Static updates for wind turbine technical parameter documents with random iterative changes
- Hourly real-time updates for wind farm operation logs
- Annual or project-launch-based updates for regional resource data and marketing case documents
Document structures mainly use structured tables and multi-chapter long texts. Core fields include rated power, hub height, cut-in wind speed, cut-out wind speed, and others. Common units are kilowatts (kW), meters (m), and meters per second (m/s).
What Constraints These Characteristics Impose on Model Access and Configuration
The mixed structured and unstructured nature of wind power data requires distinguishing different rules for parameter extraction and long text understanding during model access. This avoids incorrect parameter field splitting caused by general parsing rules. High-frequency real-time operation log data requires configuring parsing timeout and storage strategies adapted to small-file high-frequency uploads. The multi-chapter structure of long documents requires configuring the context window to meet long text carrying needs. This prevents truncation of core parameter content. Differences in data formats across sources require configuring custom field mapping rules to adapt to parameter document formats provided by different manufacturers.
How to Set Configuration Values
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | Core wind power marketing documents such as feasibility study reports and parameter manuals are usually no larger than 300 MB per copy, this setting avoids large file upload timeouts |
chunk_size | 800–1200 characters | Wind power parameter fields are mostly short texts. Excessively long chunks will cause context confusion and reduce parameter extraction accuracy |
max_context_token | 12000–16000 | Wind power feasibility study reports contain multi-chapter long texts, requiring a sufficiently large context window to fully carry document content |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Structured parsing of a single wind power feasibility study report takes a long time, this setting adapts to long document parsing needs |
MCP_ENABLED | Enabled | Real-time operation data of wind power equipment is obtained via the MCP interface, which can improve the timeliness of marketing content |
similarity_threshold | 0.75–0.85 | Matching of core wind power parameters requires a relatively high threshold to avoid recalling irrelevant non-wind power documents |
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 on-site analysis, and it is recommended to test on your own samples before finalizing the settings.
Three Common Misconfigurations
- Scenario: After upgrading the platform version, the original chunk configuration for wind power parameter CSV files triggers a
400 Bad Requesterror. The cause is that the new version adjusts the default unit rule forchunk_size, and the original character unit configuration is not updated to the token unit. - Scenario: Uploaded wind power parameter files are first parsed into text and then passed to the large model, and raw file content cannot be directly transmitted. The cause is that the
FILE_RAW_INJECT_ENABLEDconfiguration item is not enabled, causing the system to execute the general text parsing process by default. - Scenario: The large model returns a
context length exceedederror code when called. The cause is that the upper limit ofmax_context_tokenis not restricted, or long documents are not segmented and truncated, resulting in the passed context exceeding the model's supported range.
How to Confirm Successful Configuration
- Upload a typical wind power parameter CSV file, check if the parsed structured fields include preset core wind power parameters, and confirm that the
STRUCTURED_PARSE_ENABLEDorFILE_RAW_INJECT_ENABLEDconfiguration takes effect. - Trigger an MCP interface call, check if the returned real-time wind power data can be correctly accessed by the platform, and confirm that the
MCP_ENABLEDconfiguration takes effect. - Input a segment of wind power long text, check if the context window returned by the large model falls within the preset
max_context_tokenrange, and confirm that the context configuration is reasonable. - Trigger a chunking test, check if the generated chunk length meets the
chunk_sizeconfiguration requirements, and confirm that the chunking rule takes effect.
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.