What the data for this category looks like
Data sources for photovoltaic intelligent due diligence reports include on-site power station survey documents, grid connection acceptance test reports, operation and maintenance logs, and regional meteorological data. Core project parameters are updated quarterly after project completion. Daily operation and maintenance data is updated daily. Most documents are multi-page PDFs or structured Excel files, divided into three modules: survey, operation and maintenance, and grid connection. They include fields such as component model, installed capacity, irradiation intensity, and total power generation, with units including kilowatt-peak (kWp), watts per square meter (W/㎡), kilowatt-hour (kWh), and others.
Constraints on model access and configuration
The multi-source, heterogeneous nature of photovoltaic due diligence data requires configuring cross-source field alignment rules during model access. This avoids matching deviations for identical parameters from different sources. The different update rhythms of quarterly project parameters and daily operation and maintenance data require configuring an incremental sync trigger mechanism. This reduces resource consumption from full data pulls. The large number of document fields and independent unit systems require configuring a pre-processing step for unit normalization. This ensures consistent parameter units for model input. The large number of pages in individual due diligence documents requires adjusting the parsing timeout threshold. This prevents task failures caused by parsing timeouts.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Individual photovoltaic due diligence documents contain multiple pages of survey and operation and maintenance data, resulting in long parsing times |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Photovoltaic due diligence documents may contain a large number of high-definition survey photos and structured tables, resulting in large single-file sizes |
maxContext | 8000–12000 characters | Photovoltaic due diligence reports have many fields, requiring sufficient context length to carry complete parameter information |
DATA_SYNC_INTERVAL | 86400 seconds | Daily operation and maintenance data is updated daily, so daily synchronization ensures data timeliness |
FIELD_MAPPING_RULE | Map by survey/operation and maintenance/grid connection modules | Photovoltaic due diligence documents are divided into three fixed modules, and categorized mapping reduces field matching deviations |
NORMALIZE_UNIT_SWITCH | Enabled | Photovoltaic data uses multiple unit systems, enabling this switch automatically completes unit standardization conversion |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: A locally deployed photovoltaic-specific model cannot be called after being added, returning a
404 Model not founderror. Cause: The local deployment path and port mapping of the model were not configured correctly, preventing the platform from accessing the model service. - Symptom: Parsing Excel documents for photovoltaic due diligence returns a generic prompt, and valid fields cannot be extracted. Cause: A custom parsing template for photovoltaic industry Excel files was not configured, preventing the model from recognizing specialized field formats.
- Symptom: Calling models from the Qwen3 series fails to enable thinking process configuration, and the output does not include reasoning steps. Cause: The
enable_thinkingparameter was not enabled in the model access interface, or the current version does not support the thinking switch function for this model series.
How to Verify Successful Configuration
- Upload a standard photovoltaic due diligence document, and check if the parsed field list includes the preset survey, operation and maintenance, and grid connection module fields.
- Trigger a data synchronization task, and check if the synchronization log shows that the number of incrementally pulled operation and maintenance data entries matches the preset update rhythm.
- Call the model to complete a due diligence report generation task, and check if the returned result includes parameter values with unified units.
- View the model call log, and confirm that the time consumption of parsing timeout, file upload, and other links falls within the value range set by the preset configuration.
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.