What the data for this category looks like
Power grid equipment intelligent due diligence report data sources include equipment factory inspection archives, power grid operation and maintenance inspection systems, data collected by condition monitoring devices, and historical maintenance and defect records. There are two types of data update cycles: factory archives are statically updated and no longer changed after the equipment is put into operation. Inspection and monitoring data are updated in real time or daily, and maintenance records are updated synchronously with maintenance actions.
The archive document structure for a single device includes fields such as equipment number, model, installation location, factory parameters, previous inspection times and results, defect level and processing records. Units include professional power measurement units such as megohms, picocoulombs, and degrees Celsius.
What constraints these characteristics impose on the "model access and configuration" link
The full lifecycle archive data of power grid equipment has a large volume and includes multi-dimensional professional parameters and units, which imposes four constraints on model access configuration:
- The total length of the archive for a single device exceeds the general context limit. Adjust the context length parameter to avoid truncation of key data.
- Professional units and parameters require accurate recognition by the model. Add guiding rules for unit descriptions.
- The data update cycle is divided into static and real-time categories. Configure separate trigger logic for incremental and full recall to avoid recalling invalid or outdated data.
- Documents must be split by device dimension. Adjust the segmentation rules to preserve the integrity of single sets of inspection and maintenance records.
How to set the configurations
| Configuration Item | Recommended Values | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Adapts to the total length of the full lifecycle archive for a single device, avoiding truncation of key data such as inspections and defects |
chunkSize | 1000–1500 characters | Splits paragraphs by single sets of inspection or maintenance records, preserving the integrity of professional parameters and descriptions |
similarityThreshold | 0.75–0.85 | Matches power grid equipment-specific parameters and defect descriptions, filtering low-match irrelevant data |
recallTopK | Top 8–12 entries | Covers multiple inspection and maintenance records for a single device, meeting the multi-dimensional reference needs of due diligence reports |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Adapts to the parsing duration of single-device archives, avoiding parsing timeouts for large files |
promptTemplate | Add professional unit description rules | Guides the model to correctly recognize professional power units such as megohms and picocoulombs, avoiding parameter interpretation deviations |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: The model returns a
Connection errorlog during debugging, or the interface call returns a 504 status code. Cause: The intranet access whitelist for the power grid equipment data has not been configured, or thePARSE_FILE_TIMEOUT_SECONDSparameter is set below 300 seconds, causing parsing timeout. - Phenomenon: The model only returns the single text block with the highest match, and does not fuse multiple recall results as required. Cause: The
recallTopKparameter is incorrectly set to 1, and the fusion logic for multiple recall results is not enabled. - Phenomenon: The due diligence report output by the model does not polish and expand professional content, with stiff wording and lack of standardization. Cause: The prompt does not explicitly require standardized expression and supplementary description of equipment parameters and defect records, or the dedicated polishing prompt template is not associated.
How to confirm the configuration is complete
- Upload the archive document of a single typical power grid device, check whether the parsed segments are split by modules such as inspection and maintenance, with no invalid cross-device paragraphs.
- Initiate a test call, check whether the number of recall results matches the preset
recallTopKvalue, with no abnormal truncation or missing key records. - Verify that the model output correctly recognizes professional units such as insulation resistance and partial discharge values, with no parameter interpretation deviations.
- Simulate high-volume calls, check whether the interface returns a 200 status code, with no persistent
Connection errorreports.
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.