What the data for this category looks like
The data sources for air pollution control intelligent due diligence reports include internal corporate due diligence databases of financial institutions, publicly available monitoring datasets from local ecological environment departments, governance ledgers submitted by cooperating air pollution control enterprises, and compliance inspection reports issued by third-party testing institutions.
Update frequencies fall into three categories:
- Real-time monitoring data updates hourly
- Corporate governance ledgers update monthly
- Special inspection reports update per project cycle
Documents typically include these modules: project basic information, pollutant emission details, governance facility operation records, compliance verification items, and rectification suggestions.
For field units:
- Pollutant concentration units are μg/m³ and mg/m³
- Emission rate units are kg/h
- Governance equipment operation duration units are hours
- Compliance judgment items use pass/fail status
Constraints imposed on multi-turn dialogue and prompt engineering
Discrepancies in data caliber across different sources require pre-configured field alignment rules for multi-turn dialogue. This prevents cross-source data confusion and meets compliance requirements for financial due diligence.
The difference in update rhythms between real-time monitoring data and static ledgers requires dialogue to support dynamic calling of corresponding datasets by time range. This adapts to timeliness verification for due diligence reports.
Long documents with multiple module details require limiting the context recall scope. This prevents exceeding the model context window and avoids omissions in due diligence analysis.
Multi-unit fields such as pollutant concentration and emission rate require preset unified conversion rules in prompts. This ensures numerical accuracy of dialogue results and supports quantitative analysis for financial due diligence.
How to configure the settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | The core content of air pollution control due diligence reports typically ranges from 5000 to 8000 characters, with reserved space for context caching during multi-turn follow-up questions |
PARSE_FILE_CHUNK_SIZE | 1000–1500 characters | The length of due diligence data for a single module ranges from 800 to 1200 characters, so segmentation enables precise recall of corresponding detail items |
RECALL_TOP_K | Top 6 entries | Core data of due diligence reports is scattered across emission, governance, compliance and other modules; recalling 6 entries covers the main analysis dimensions |
UPLOAD_FILE_ALLOWED_EXT | pdf,docx,xlsx | Governance ledgers and inspection reports submitted by enterprises mostly use these three formats, adapting to mainstream submission requirements |
OPENAPI_APP_CREATE_ENABLE | Enabled | Supports batch creation of dedicated due diligence applications via interfaces, adapting to scenarios with parallel multiple projects |
STREAM_RESPONSE | Enabled | Returns data analysis results in real time during multi-turn dialogue, improving interaction fluency |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume and business rules. Specific issues require case-by-case analysis, and it is recommended to test against your own samples before finalizing settings.
Three Common Configuration Mistakes
- Issue: After uploading an air pollution control inspection report, the system prompts that the file format is not supported. Cause: The
UPLOAD_FILE_ALLOWED_EXTconfiguration list does not includepdfanddocx, omitting mainstream submission formats. - Issue: After configuring the ollama deepseek 32b model, dialogue has no streaming output, and only returns results once generation is complete. Cause: The
STREAM_RESPONSEconfiguration item is not enabled, or the model deployment port does not have a streaming transmission channel open. - Issue: Multi-user dialogue contexts under the same application key overwrite each other, preventing independent sessions. Cause: Session isolation configuration is not enabled, and no unique session identifier parameter is assigned to each user.
How to Confirm Successful Configuration
- Upload a standard-format air pollution control inspection report, confirm the system can parse it normally and extract core data fields.
- Initiate a dialogue with multiple follow-up questions, verify that context association logic works correctly and no data caliber confusion occurs.
- Call the OpenAPI interface to create an application, confirm that a valid application ID is generated and the interface functions properly.
- Trigger a streaming dialogue, confirm results are returned in real time in segments, with no situation where output only occurs after full generation is finished.
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.