What this category's data looks like
Core data for aquaculture profit yield and market daily reporting comes from pond IoT monitoring devices, breeding ledger systems, and regional acquisition quotation platforms. Data updates follow three schedules:
- Water quality indicators such as dissolved oxygen and water temperature at ponds update hourly.
- Breeding operation records such as feeding volume and seed stocking volume are archived daily.
- Regional acquisition quotations and feed raw material costs update weekly.
Each data document includes unique pond identifier, breeding variety code, current breeding cycle days, detailed input cost breakdown, current pond-out volume and acquisition unit price fields. Field units include kilogram, milligrams per liter, yuan per kilogram, yuan per fish and other category-specific units.
What constraints do these characteristics impose on forms and interactions
Data sources are scattered, and update schedules vary significantly. Form interactions must support dynamic field mapping across multiple data sources. This avoids field missing caused by hard coding, and supports dynamic data pulling for profit yield daily report broadcasting.
Required fields and units differ significantly across breeding varieties. Interactions must automatically load corresponding field templates after variety selection, to adapt to profit yield calculation logic for different varieties.
Hourly water quality data updates at high frequency. Forms must support real-time synchronization or batch import functions. Weekly cost data has archiving characteristics. Interactions must retain a historical version traceback entry for daily report historical comparison.
Unique pond identifiers carry a risk of duplicate entry. Forms must integrate fast retrieval and auto-completion for existing ponds, to reduce manual entry errors.
How to set configurations
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Aquaculture ledger files often contain batch data for multiple ponds, leading to long parsing times. 600 seconds covers the parsing process for most large files. |
chunkSize | 800–1200 characters | Aquaculture data records contain multiple fields per entry. This segment length adapts to the display and recall of field details, avoiding field breakage after splitting. |
RECALL_TOP_N | Top 8 entries | Profit yield calculation requires associating multiple types of data including water quality, feeding volume, and acquisition quotations. Recalling 8 entries covers the associated data needs for most ponds. |
Question Answering Split Mode | split by field grouping | Aquaculture data has clear field classifications. Splitting by group preserves the integrity of data for a single pond, avoiding confusion across pond data. |
Voice Input TOKEN Verification Switch | Enabled | On-site data entry in aquaculture scenarios often uses voice input. Enabling this check avoids invalid requests triggered by invalid voice inputs. |
Conversation Flow Fixed Switch | Enabled | Aquaculture profit yield daily report broadcasting requires a fixed process. Enabling this ensures each dialogue uses the same data pulling and calculation process. |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: The system throws an
Invalid array lengtherror after selecting the question-answering splitting mode. Cause: The splitting rule is not configured according to the field grouping of aquaculture data, and the default character-based splitting is used directly. This causes the field array to be incomplete after splitting a single data entry, triggering a length check failure. - Symptom: The interface prompts
token validation failedduring voice input in the chat interface. Cause: The voice input TOKEN verification switch is not enabled, or the verification configuration key does not match the key of the voice service, causing the voice request token verification to fail. - Symptom: The breeding variety and pond must be reselected after each conversation starts. Cause: The conversation process fixed switch is not enabled, causing each session to reset the default configuration and unable to reuse the process settings from this conversation.
How to confirm successful configuration
- Upload an aquaculture breeding ledger file containing 3 or more ponds, check if the parsed fields match the configured grouping rules, with no field breakage.
- Initiate a voice input test, confirm that no
token validation failederror appears, and that voice content is correctly converted to text and filled into corresponding fields. - After enabling the conversation process fixed switch, select the breeding variety and pond for the first time, then initiate another conversation, check if the previously selected variety and pond configuration is automatically reused.
- Initiate a profit yield calculation request, check if the number of associated recalled data matches the configured
RECALL_TOP_Nvalue, with no redundant or missing data.
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.