Document Parsing and Chunking for Solid Waste Management

Data Characteristics for This Category

Solid waste management industry investment research data primarily comes from environmental impact assessment reports, solid waste disposal process manuals, project operation ledgers, national industry standard documents, project acceptance reports, and similar materials. Data update cycles vary widely by document type. Operation ledgers are updated monthly or quarterly. Industry standards are revised on an irregular basis. Project-related documents are updated upon completion of the project cycle.

Document structures include a large number of structured tables such as ledgers for solid waste generation volume and disposal volume, process flowcharts, landfill cross-section diagrams, and coherent long-text process descriptions. Specific industry fields and units include "average daily landfill volume (tons/day)", "hazardous waste disposal fee (yuan/ton)", "leachate COD concentration (ppm)", and similar entries.

Constraints Imposed on Document Parsing and Chunking

The multi-source and heterogeneous nature of solid waste management investment research documents requires the parsing link to adapt to different document formats such as environmental impact assessment reports, operation ledgers, and industry standards. It must also retain valid information from structured tables and images.

Frequently updated operation ledgers require incremental parsing logic to avoid repeated processing of already included data. A large number of fields with specific industry units in documents require that the association between fields and units be retained during chunking, to avoid splitting that disrupts business logic.

Long-text process descriptions are mostly coherent technical paragraphs. Fixed-length chunking can easily split process logic. Chunking must be carried out in combination with content semantics.

Configuration Settings

Configuration Item	Recommended Setting	Rationale for This Setting
`parse_table_enable`	Enabled	Solid waste management documents contain a large number of disposal volume and ledger tables. Enabling this option retains structured table information
`parse_image_ocr`	Enabled	Documents contain process flowcharts and landfill cross-section diagrams. OCR can extract text content from images
`chunk_max_length`	800–1200 characters	Solid waste process descriptions mostly consist of coherent logical blocks. This range avoids splitting cross-process paragraphs
`parse_references_enable`	Enabled	Investment research documents often include industry standard citations. Enabling this option parses the `references` field
`parse_timeout`	120 seconds	Large environmental impact assessment reports take a long time to parse. This threshold avoids timeout failures
`chunk_overlap`	100–150 characters	Retains cross-chunk logical associations, adapting to the coherence of process descriptions

The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Configuration Mistakes

Phenomenon: Solid waste documents uploaded to the knowledge base show "parsing failed", or no matching results are returned during retrieval. Cause: UPLOAD_FILE_MAX_SIZE is not configured to adapt to large environmental impact assessment reports, and files exceeding the upload limit are blocked.
Phenomenon: In imported Word-format operation ledgers, table content is only extracted as scattered plain text, and process flowchart images have no recognized text. Cause: The parse_table_enable and parse_image_ocr configurations are not enabled. The default parsing logic only extracts plain text, resulting in loss of structured table and image OCR results.
Phenomenon: Industry standard citation entries at the end of investment research documents are not included in the knowledge base. Cause: The parse_references_enable configuration is not enabled. The default parsing logic does not extract content from the references field.

How to Verify Proper Configuration

Upload a solid waste operation ledger document that includes tables and flowcharts, and check whether the parsed text retains the structured fields of the tables and the OCR text from the images.
View the parsing log of the file in the knowledge base, and confirm that the content of the references field has been extracted and included.
Upload a long-text process description document, and verify that the chunking results do not split coherent process description logic.
Upload an environmental impact assessment report that exceeds the default upload size, and confirm that the parsing node does not return errors related to upload limits.

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.