What the data for this category looks like
Daily water treatment yield rate data mainly comes from structured interfaces of water plant online monitoring equipment, central control PLC systems, and municipal water utility charging platforms. Data updates occur once per day, with some key monitoring point data synchronized every hour. Each daily report document uses a structured table format, including fields such as influent water quality indicators, effluent water quality indicators, chemical dosing costs, equipment operating energy consumption, treated water volume, charged water volume, and others. The units of these fields are mg/L, NTU, yuan, kWh, m³, yuan, and so on. No unstructured text content is included.
What constraints these characteristics impose on model access and configuration
The structured nature of daily water treatment reports requires prioritizing structured data parsing rules during model access. General text parsing may cause field misalignment, which would reduce the accuracy of yield rate calculations. The data update frequency determines the scheduled refresh interval of the knowledge base. This interval must match the daily data source update rhythm to ensure the model calls the latest daily operating data. Multi-dimensional yield rate-related fields require the retrieval step to cover enough relevant entries, to avoid missing key parameters such as chemical dosing costs and charged water volume. The unit specificity of industrial data requires presetting field unit mapping rules during configuration, to prevent the model from confusing the numerical meanings of costs and water volumes.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
STRUCTURED_PARSE_SWITCH | Enabled | Daily water treatment reports use standardized structured table formats; enabling this allows automatic identification of fields and units |
RECALL_NUMBER | Top 8-12 entries | Daily reports include multi-dimensional yield rate-related parameters; sufficient associated fields must be covered to support yield rate calculations |
SIMILARITY_THRESHOLD | 0.72-0.85 | Industrial data fields have strong correlation; this range avoids retrieving irrelevant historical monitoring data |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | A single daily report includes data from multiple monitoring periods; parsing takes longer |
maxContext | 8000-12000 characters | Daily report documents have relatively long lengths; complete context must be retained to support model inference |
TOOL_INVOKE_CONFIG | Calibrated based on actual measurements | MCP tool call permissions must be configured to adapt to water treatment equipment data pulling requirements |
The parameter values provided on this page are common recommended 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 conduct tests on your own samples before finalizing settings.
Three common mistakes
- Symptom: The structured parsing module does not appear in the configuration list when creating a new knowledge base. Cause: The industrial structured data parsing extension component has not been installed in the system plugin center.
- Symptom: The model returns a permission error when calling the MCP tool to pull water treatment operating data. Cause: The access whitelist for the MCP service has not been configured, restricting the platform's call permissions.
- Symptom: The model directly refuses to answer queries when there is no matching monitoring data in the knowledge base. Cause: The general reasoning switch for when the knowledge base has no matching content has not been enabled, causing the model to only rely on retrieved content to generate responses.
How to confirm the configuration is complete
- Upload a single standard daily water treatment yield rate report document, check if the parsed field list includes preset indicators such as chemical dosing costs and charged water volume, with no field misalignment.
- Initiate a test query, enter "Parameters required for today's water treatment operating yield rate calculation", verify that the model can correctly pull the latest monitoring data and complete associated calculations.
- Adjust the similarity threshold to 0.6 and 0.9, verify the quantity and relevance of retrieval results respectively, and confirm that the threshold setting meets business requirements.
- Check the system backend logs to confirm that no timeout errors or field parsing failure prompts appear in the knowledge base parsing tasks.
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.