What the Data for This Category Looks Like
Water industry research data primarily originates from internal ledgers of water utilities, publicly released municipal water reports, and standard documents issued by industry associations. Real-time daily monitoring data is updated daily. Monthly operation reports and quarterly analysis reports are released on fixed schedules, while industry policy documents are updated irregularly. Common document types include structured Excel monitoring ledgers, PDF-format water quality test reports, Word-format operation analysis reports, and industry standard PDF documents. Fields in these documents mostly cover pipe network pressure, water supply volume, water quality concentration, and the like, with corresponding units including kilopascals, cubic meters, milligrams per liter, and others.
Constraints on Document Parsing and Chunking
The high-frequency update requirement for water industry data means the parsing process must support fast batch processing to avoid parsing delays that cannot keep up with data update cycles. Documents contain a large number of structured tables and professional terminology. Parsing must retain the row-column relationships of tables and the contextual logic of terminology, otherwise chunked content cannot serve as effective retrieval units. Document structures vary widely, ranging from plain-text analysis reports to ledgers with complex tables. Chunking rules must adapt to multiple document structures to avoid breaking logical connections between content. The strong binding between units and fields requires the parsing process to retain the correspondence between data and units, otherwise search results cannot match accurate business meanings.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
segment_length | 800–1200 characters | Water industry documents often contain professional terminology and data correlations. 800–1200 characters can cover the complete expression of a single set of monitoring data plus its analysis, avoiding disruption of contextual logic |
custom_chunking_rules | Enable "split by table line breaks" and "split by chapter titles" | Adapt to the structure of numerous structured tables and chapterized operation analysis in water industry documents, retaining the integrity of data and logic |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | A single water industry document may contain multi-page monitoring ledgers and long-text analysis. 300 seconds covers the parsing duration of conventional documents, avoiding timeout failures |
UPLOAD_FILE_MAX_SIZE | 500 MB | Annual operation reports of large water groups may have large file sizes. 500 MB covers conventional upload requirements |
enable_table_structured_parsing | Enabled | Water industry documents contain a large amount of retrievable structured table data. Enabling this setting retains the row-column structure of tables and improves retrieval accuracy |
retrieval_similarity_threshold | 0.75 | Matching accuracy requirements for water industry professional terminology are high. 0.75 filters low-relevance search results and retains highly matched professional content |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Issue: After configuring
segment_length, retrieved water industry analysis content is split into disconnected fragments. Cause: The understanding thatsegment_lengthrefers to the character limit for a single chunk of text is lacking. A setting that is too small disrupts the contextual logic of professional analysis. - Issue: After uploading an Excel-format water industry monitoring ledger, the parsed result only displays plain text without table structure. Cause: The
enable_table_structured_parsingconfiguration is not enabled, causing table data to be flattened and losing row-column relationships. - Issue: After importing a PDF-format water industry report, search tests return no matching results, and the interface displays a parsing failure prompt. Cause:
PARSE_FILE_TIMEOUT_SECONDSis set too short, causing large documents to be terminated before parsing is complete, leaving no valid indexed content in the knowledge base.
How to Verify Proper Configuration
- Upload a single typical water industry document (such as a monthly operation report) and check if the parsed text retains table structures and chapter divisions.
- Perform a knowledge base search test, enter water industry professional terminology (such as "pipe network pressure", "COD concentration"), and verify the relevance of returned results.
- Adjust the
segment_lengthparameter, compare chunking effects across different values, and confirm alignment with the logical unit length of the document. - Upload a large document (such as an annual monitoring report) and check if parsing progress completes within the preset timeout period.
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.