What the data for this category looks like
Data sources linked to power industry intelligent due diligence reports include real-time operation logs from grid dispatch automation systems, operation and maintenance records from power generation enterprises, settlement details from power trading centers, and industry compliance regulatory documents. Three update cadences apply:
- Real-time operation data updates every 1–5 minutes
- Operation and maintenance records are archived and updated monthly
- Trading and policy documents are updated as needed
Document structures include:
- Structured ledgers (with fields such as unit number, output parameters, etc.)
- Semi-structured operation reports (with tables, operating condition descriptions)
- Unstructured compliance texts
Fields and their units are: active power (unit MW), reactive power (unit Mvar), voltage level (unit kV), unit rated capacity (unit MW).
What constraints these characteristics impose on the knowledge base retrieval and recall link
The following constraints apply to the retrieval and recall workflow:
- Power data has many structured fields with exclusive units. The retrieval link must support structured field matching, otherwise unit parameter information for generators cannot be accurately located.
- Real-time operation data updates at high frequency. The knowledge base incremental synchronization frequency must adapt to the 1–5 minute update cadence, to avoid recalled content being outdated.
- Semi-structured documents contain tables and charts. The parsing link must support extraction of structured data from tables, otherwise key operating condition parameters will be lost.
- The power industry has many specialized terms. The retrieval link must be configured with synonym expansion, to avoid matching failures caused by term differences.
- Long documents are common. Segment configuration must be adapted to professional long sentences, to avoid context fragmentation that reduces recall accuracy.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Power operation reports contain multi-page charts and long texts; 300 seconds covers the parsing process for most large documents |
UPLOAD_FILE_MAX_SIZE | 500 MB | Single files of historical power system operation logs are large; 500 MB meets the upload requirements for conventional archived files |
Segment Length | 800–1200 characters | Power documents contain a large number of professional terms and long sentences; this range ensures terms are complete while avoiding context fragmentation |
Recall Count | Top 8 results | Due diligence reports need to cover multi-dimensional information including unit operation, trading, and compliance; 8 results balances recall coverage and retrieval efficiency |
Similarity Threshold | 0.72–0.85 | Professional terms in the power industry have high similarity; this range filters low-correlation results while retaining matches for professional terms |
RAG_SYNC_INTERVAL | 300 seconds | Real-time operation data updates every 1–5 minutes; a 300-second synchronization interval ensures the timeliness of recalled content |
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 individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: After upgrading to version 4.14.3, an error
failed to create post presigned urloccurs when uploading power documents, and the issue persists after migrating S3 storage. Cause: Cross-origin access rules for S3 storage are not configured correctly, leading to failure to generate pre-signed URLs. - Symptom: Power-specific fields such as active power and voltage level are missing from knowledge base recall results. Cause: Structured data parsing configuration is not enabled; only full-text retrieval is performed on document text, and field information from structured ledgers is not extracted.
- Symptom: The retrieval scope cannot be limited to a specified power operation and maintenance dataset, and all knowledge base content is recalled mixed together. Cause: Dataset retrieval permissions or retrieval scope binding are not configured, leading to retrieval covering all knowledge base content.
How to Confirm Correct Configuration
- Upload a typical power operation and maintenance document, check whether the parsing result retains exclusive fields and units, and confirm that the parsing process does not trigger a timeout.
- Submit a retrieval request containing power professional terms, verify that the number of recall results matches the configured value, and that similarity falls within the preset range.
- Test limiting the retrieval scope to a specified power dataset, confirm that only content from this dataset is recalled, and that other knowledge base content is not included.
- View the running logs of incremental synchronization tasks, confirm that the synchronization frequency matches the update cadence of power data.
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.