What This Type of Data Looks Like
Thermal research report data primarily comes from public statistics and in-depth analysis reports published by provincial power grid companies, regional thermal operation enterprises, and industry associations. The update cadence is mainly monthly operation briefings and quarterly in-depth analyses, with full industry summary reports released annually. Document structures typically include five parts: cover page, core business indicator page, regional heating operation data tables, policy interpretations, and risk reminders. Core fields include heating load, steam pressure, unit energy consumption, with corresponding units of gigajoules per hour (GJ/h), megapascals (MPa), and kilograms of standard coal per gigajoule (kgce/GJ). Basic metadata such as report number, publishing organization, and release date are also included.
What Constraints Do These Characteristics Impose on the Document Parsing and Chunking Link
Thermal research reports have a high proportion of structured tables, and the indicators within the tables are strongly tied to regions and time. Ordinary text chunking will split data associations, making it impossible to match complete business logic during retrieval. Monthly briefings have a high update frequency, and a single document will include comparisons of previous period data. Chunking needs to retain contextual associations to avoid semantic breaks. Some research reports include Excel attachments of original operation data; only parsing the PDF body will lose complete business data. In addition, thermal data from different regions is scattered across different paragraphs, and fixed-length chunking may split continuous data from the same region, affecting recall accuracy.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Thermal research reports contain a large number of structured energy consumption and load tables. Enabling this option preserves table row and column associations and avoids data fragmentation |
CHUNK_SIZE | 800–1000 characters | The average paragraph length of a single thermal research report is moderate. This range balances semantic completeness and recall accuracy |
CHUNK_OVERLAP | 100–150 characters | Retains overlapping content between adjacent chunks to prevent cross-paragraph indicator associations from being split |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Some thermal research reports include multi-page annual data summaries. Supporting larger file uploads avoids truncation |
PARSE_ATTACHMENT_ENABLE | Enabled | Thermal research reports often include Excel-format original operation data. Enabling this option parses structured content in attachments |
METADATA_EXTRACT_FIELDS | report number,publishing organization,release date,heating region | Extracts core business metadata for research reports and associates it with corresponding chunks to facilitate traceability after retrieval |
The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Scenario: An
UPLOAD_FAILEDerror code is triggered when uploading a 3MB thermal research report PDF, and the interface displays "File parsing timed out". Cause: TheUPLOAD_FILE_MAX_SIZEorPARSE_FILE_TIMEOUT_SECONDSparameters were not adjusted. The default configuration cannot handle large documents containing multi-page tables. - Scenario: Retrieved chunks are not associated with business metadata such as heating region and publishing organization. Cause:
METADATA_EXTRACT_FIELDSwas not configured. The default setting only extracts basic document information, losing business-specific associated data unique to thermal research reports. - Scenario: Associated data for the same heating indicator is split across different chunks after chunking, making it impossible to match complete logic during retrieval. Cause:
PARSE_TABLE_ENABLEwas not enabled. Structured table row and column data is forcibly split by fixed length.
How to Verify Correct Configuration
- Upload a single thermal research report containing structured tables, and check if the parsed data retains complete row and column structures with no content truncation.
- Submit a retrieval request and verify that the metadata fields of the returned results include the preset business-related fields.
- Compare the document content before and after chunking to confirm that adjacent chunks have overlapping characters, and core business indicators are not split across chunks.
- Upload a research report with an Excel attachment, and check if the parsed results include the original data entries from the attachment.
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.