What the data for this category looks like
Data related to water treatment yield rates comes primarily from online water quality monitoring terminals, water plant operation logs, chemical procurement and dosing reports, and qualified product water statistics ledgers. Data update frequencies cover three categories: minute-level real-time monitoring, daily reports, and monthly cost summaries. Each document includes fields such as unique device identifier, monitoring timestamp, influent turbidity, COD concentration, ammonia nitrogen content, chemical dosing volume, unit energy consumption, water production volume, qualified product water rate, and unit treatment cost. Field units include NTU, mg/L, m³, yuan/m³ and other professional measurement standards.
What Constraints These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
The multi-dimensional, scattered sources of water treatment data require multi-turn dialogue to associate context across different documents, such as binding device IDs to energy consumption and water production data for corresponding time periods. Frequently updated real-time data requires dialogue systems to prioritize recalling the latest monitoring entries and avoid using expired historical data. The professional nature of the fields requires prompts to clearly define retrieval scopes, preventing generation of irrelevant content outside the scope of water treatment expertise. Multi-turn dialogue must track the user’s question chain, for example, confirming the device ID before retrieving corresponding cost data to avoid parameter confusion across devices.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 1500–2000 characters | Water treatment data has many closely related fields, so key context such as device ID and monitoring time period in multi-turn dialogue must be retained |
recall_count | Top 8 entries | Water treatment data includes multi-dimensional parameters, so enough entries must be recalled to cover different monitoring dimensions and cost items |
similarity_threshold | 0.72–0.78 | Avoid recalling irrelevant historical monitoring data while covering associated logs for the same device across different time periods |
clear_upload_history_on_new | Enabled | Prevent the system from loading historical documents each time a new attachment is uploaded, only retain the currently uploaded water treatment operation report |
use_variable_kb_id | Calibrated via actual testing | Supports dynamic switching of knowledge bases based on water plant IDs entered by users, adapting to multi-site water treatment scenarios |
force_knowledge_retrieval | Enabled | Force knowledge base retrieval for every dialogue to avoid the system randomly skipping the retrieval step |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis, and testing on internal samples prior to finalizing settings is recommended.
Three Common Configuration Mistakes
- Phenomenon: After uploading a new water treatment operation daily report, the system still loads previously uploaded historical monitoring logs, resulting in redundant recalled data. Cause:
clear_upload_history_on_newis not set to enabled, and the system retains all uploaded document copies by default. - Phenomenon: When attempting to pass a knowledge base ID via a custom variable, an
invalid variable referenceerror is returned. Cause:use_variable_kb_idis not properly enabled, and the variable is not bound to a valid ID field in the knowledge base management module. - Phenomenon: Some dialogues fail to recall water treatment yield rate and cost data, only returning general explanatory content. Cause:
force_knowledge_retrievalis not enabled, and the system does not force knowledge base retrieval for every dialogue.
How to Verify Successful Configuration
- Upload a single water treatment operation daily report, initiate a dialogue requesting "View today's water production rate", and confirm that the recalled documents only include the currently uploaded file.
- Enter a custom knowledge base ID in the dialogue, initiate a query, and confirm that the system correctly associates it with the monitoring data of the corresponding water plant.
- After enabling the forced knowledge base retrieval switch, initiate a query with no prior context, and confirm that the results only come from the bound water treatment knowledge base.
- Initiate a multi-turn dialogue, sequentially ask "Today's influent turbidity for device A" and "Corresponding chemical dosing cost", and confirm that the system can associate the context parameters of the two rounds of dialogue.
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.