What This Category of Data Looks Like
Air pollution control research data is primarily sourced from public monitoring station data released by ecological environment authorities, enterprise self-monitoring reports, air pollutant emission permit ledgers, industry association survey datasets, and meteorological observation databases. Data update cycles include real-time hourly monitoring values, quarterly updated emission permit ledgers, and annually released industry governance effectiveness reports. Single documents are mostly structured tables or annotated monitoring reports. Core fields include monitoring point latitude and longitude, pollutant concentration values, emission limits, and governance facility operating parameters, with corresponding units of degrees, minutes, seconds, micrograms per cubic meter, milligrams per cubic meter, and hours.
Constraints Imposed by These Characteristics on Multi-turn Dialogue and Prompting
The multi-field structured nature of air pollution control research data requires multi-turn dialogue to accurately align units and field definitions for different pollutants, to avoid errors that confuse concentration and emission volume. The high-frequency update attribute of real-time monitoring data requires the conversation context window to be set to a reasonable range covering the current query period, to prevent the use of expired data. The relatively long length of single documents requires prompts to specify a chunk retrieval threshold, to avoid redundant information interfering with core queries. Additionally, research scenarios often require cross-point and cross-cycle comparative analysis, so multi-turn dialogue must retain pre-queried point and time parameters, without requiring repeated confirmation of basic information.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Single air pollution control monitoring report text is mostly 500–1000 characters; this value can cover the context of 3–5 complete reports, preventing loss of pre-queried point and time parameters in multi-turn dialogue |
topK | Top 6–8 entries | The dataset includes multi-dimensional fields; too many retrieved entries will cause prompt information overload; 6–8 entries can cover core monitoring points and emission parameters |
similarityThreshold | 0.72–0.85 | The field correlation of air pollution control data is relatively high; this threshold can filter low-correlation historical monitoring data, avoiding interference with current queries |
PARSE_FILE_MAX_CHARS | 1500 characters per chunk | Enterprise self-monitoring reports are mostly long tables; this chunk length can fully contain full-cycle monitoring data for a single point, avoiding splitting that destroys field integrity |
tokenCountDisplay | Enable separate input and output token statistics | Research scenarios require precise control of token consumption; separate statistics can quickly locate call errors caused by overly long context |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: The prompt is configured with markdown optimization format, but the returned result is unrendered markdown raw text. Cause: No rendering instruction is added to the prompt template, or the system's markdown output switch is not enabled.
- Phenomenon: The conversation interface does not separately display input token and output token statistics. Cause: The
tokenCountDisplayconfiguration item is not enabled, or the token statistics function of conversation logs is not turned on. - Phenomenon: Target air pollution control data is not returned after multi-turn dialogue query. Cause: No monitoring point or time range is specified in the query, or the number of retrieved entries is configured too low, causing core data to not be retrieved.
How to Confirm Configurations Are Correctly Set
- Upload a single air pollution control monitoring report, check whether core fields and units are fully retained in the segmented results after document parsing.
- Initiate a multi-turn dialogue that specifies a monitoring point and time range, verify whether the returned results accurately match the query conditions.
- Enable the token statistics configuration item, initiate a query, and confirm that the interface displays separate input and output token values.
- Adjust the prompt template to add rendering instructions, initiate a query, and confirm that the returned result is formatted and readable content.
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.