Data Characteristics of This Category
Data sources for power industry intelligent due diligence reports include power project feasibility study reports, grid connection acceptance opinions, operation and maintenance logs, electricity price approval documents, power grid dispatching data, and others. Update cycles fall into two categories: one-time static documents and periodic dynamic documents. Static documents such as feasibility study reports and grid connection files are updated only when a project is approved or commissioned. Dynamic documents such as monthly operation logs and quarterly electricity price adjustment files are updated on fixed schedules. Document structures typically include sections such as project overview, installation parameters, financial calculations, grid connection conditions, and environmental emissions. Fields include professional parameters like installed capacity, power generation, and electricity price. Some documents are scanned stamped files.
Constraints Imposed on Document Parsing and Chunking
Diverse data sources and the presence of scanned documents require the parsing workflow to support multiple formats including PDF, Excel, and scanned files. OCR must be enabled to handle scanned documents. Differences in update cycles require the chunking workflow to differentiate between static and dynamic content. This prevents applying inconsistent chunking rules to periodically updated logs and one-time feasibility study documents. Fixed units for professional parameters require retaining contextual associations between parameters and their units during chunking. This avoids separating parameters from their units after splitting. Complex document hierarchies require chunking to follow section hierarchies. This prevents splicing unrelated power industry professional content across sections.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Accommodates multi-page PDFs and large Excel logs commonly included in power due diligence reports, prevents interruptions during large file uploads |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Power documents often contain large numbers of tables and long text passages, extending timeout prevents parsing interruptions |
chunk_size | 800–1200 characters | Matches the average length of technical parameter sections and financial calculation sections in power documents, retains complete parameter associations |
chunk_overlap | 100–150 characters | Prevents splitting cross-page power equipment parameters and electricity price calculation formulas, retains contextual associations |
PARSE_SCAN_PDF_ENABLE | Enabled | Some power grid connection acceptance documents are scanned PDFs, enabling OCR parsing extracts editable text |
MAX_PARSE_PAGE_NUM | Calibrated via actual testing | Accommodates scenarios where a single due diligence report may exceed 500 pages, prevents exhaustion of parsing resources |
The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are influenced by material format, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Uploading a large power due diligence report reaches 90% progress and displays an "offset out of range" error. The cause is failure to adjust
UPLOAD_FILE_MAX_SIZEand backend chunked upload buffer configurations, resulting in data truncation during large file chunked transmission. - Files uploaded using the create file collection API have inconsistent chunking results with files uploaded directly via the platform frontend. The cause is failure to explicitly specify
chunk_sizeandchunk_overlapparameters during API calls, leading to a mismatch between default configurations and custom settings used for frontend uploads. - Some technical parameter fields are empty after parsing scanned power grid connection acceptance documents. The cause is failure to enable
PARSE_SCAN_PDF_ENABLE, which does not trigger OCR extraction of scanned text.
How to Verify Correct Configuration
- Upload a single power due diligence report matching the maximum business volume, confirm the upload process has no interruptions or errors.
- Call the create file collection API and upload the same power document via the platform frontend, verify that the start and end positions of chunks are consistent.
- Parse a scanned power due diligence document, confirm that the extracted text includes professional parameters and unit information.
- Check the parsing task logs, confirm that no timeout errors corresponding to
PARSE_FILE_TIMEOUT_SECONDSare triggered.
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.