What the Data for This Category Looks Like
Wind power financial report data sources include SCADA system operation logs of wind power projects, grid connection settlement reports, regular operational ledgers disclosed by enterprises, and official financial report attachments. Update cycles cover monthly operation snapshots, quarterly flash reports, and annual official financial reports. Most documents are structured tables paired with operation and maintenance detail texts. Some include time-series operation curve attachments for fan units. Fields include unit ID, grid-connected capacity (unit: kilowatt), monthly power generation (unit: kilowatt-hour), operation and maintenance hours, parts replacement records, and more. Format differences exist across most documents.
Constraints on Model Access and Configuration
Wind power financial reports include structured fields, time-series texts, and image attachments. They require models to support both structured data parsing and multimodal content understanding. Frequently updated monthly and quarterly data need scheduled synchronization tasks to avoid data lag. Dispersed operation data across multiple units need vector chunking by project or region to reduce retrieval redundancy. Field units vary across different documents, so unified field mapping rules must be configured to prevent models from confusing statistical calibers. The length of long time-series operation data exceeds the conventional single-round context limit, so context window parameters need adjustment to retain complete semantics.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Wind power financial reports mix structured fields and operation and maintenance texts. This range can fully cover the monthly operation data block of a single fan unit, avoiding semantic truncation |
recallTopK | Top 6–10 entries | Wind power financial reports are mostly grouped by project. Retrieving 6-10 entries can cover relevant operation data for the same project and avoid redundant retrieval |
similarityThreshold | 0.72–0.85 | Wind power data has a relatively high degree of field standardization. This range can filter low-match irrelevant financial report entries and retain valid relevant data |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Wind power financial reports may include annual operation and maintenance summary files for multiple units. This value can cover conventional batch upload requirements |
maxTokenPerRequest | 12000–16000 | Parsing long time-series operation curves requires sufficient context windows to prevent models from truncating critical data |
imageSupportEnable | Enabled | Wind power financial reports include operation curve images. Model support for image understanding is required to complete anomaly correlation analysis |
The parameter values provided on this page are general recommendations for establishing configuration baselines. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to conduct tests on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: After configuring a custom vector channel, requests still trigger large language model calls. Cause: The
apiTypeparameter of the vector model was not set toembedding, causing the system to default to calling the LLM-type interface. - Symptom: The model cannot parse the operation curve images attached to financial reports. Cause: The
imageSupportEnableconfiguration item was not enabled, or the selected model does not support multimodal image understanding capabilities. - Symptom: The model has no historical conversation memory, even when
maxContextis set to 6 rounds. Cause: The conversation context storage switch was not enabled, or the configured context window parameters did not cover the token consumption of multi-round interactions.
How to Confirm Configuration Is Complete
- Upload the monthly financial report file for a single fan unit, check the upload progress and parsing status, and confirm that
UPLOAD_FILE_MAX_SIZEmatches the actual file size. - Send a test request, input "Please summarize the monthly power generation of this project", check whether the returned result includes the structured data of the corresponding fan unit, and confirm that the configurations of
recallTopKandsimilarityThresholdtake effect. - Send two consecutive test requests: first ask about the operation and maintenance cost of a single fan unit, then ask about the power generation of this unit in the previous month, check whether the model associates the historical question, and confirm that the context configuration takes effect.
- Upload an image attachment containing an operation curve, send a parsing request, check whether the returned result includes a structured description of the image content, and confirm that the multimodal support configuration 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.