用于菲牛蛭养殖的生长速率预测置信度驱动调控方法及系统

By collecting and processing data on Hirudo medicinalis farming, identifying growth stages, calculating growth drivers and prediction confidence levels, and constructing a multi-dimensional control scheme, the problems of stage differences, data quality, and control linkage in Hirudo medicinalis farming were solved, achieving refined management and improved stability.

CN122397649APending Publication Date: 2026-07-17JIANGXI UNIVERSE PHARMA +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
JIANGXI UNIVERSE PHARMA
Filing Date
2026-06-08
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Current leech farming techniques lack differentiated management for different growth stages, have insufficient data quality assessment, lack a stable mechanism for predictive results and regulatory decisions, and lack multi-dimensional linkage at the control output end, leading to problems of misadjustment, overadjustment, and frequent intervention.

Method used

By collecting environmental monitoring data, aquaculture operation data, and growth sampling data, time alignment, anomaly removal, and stage identification are performed to construct a basic aquaculture status characterization, calculate growth driving force indicators and prediction confidence indicators, form a multi-dimensional control scheme, and conduct comprehensive evaluation and decision-making based on data quality status.

Benefits of technology

It improves the accuracy and timeliness of growth assessment, reduces the probability of misadjustment, overadjustment, and frequent intervention, enhances the stability and precision of aquaculture management, and reduces reliance on experience.

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Abstract

本发明涉及水蛭智能养殖技术领域,具体是用于菲牛蛭养殖的生长速率预测置信度驱动调控方法及系统。包括采集环境监测数据、养殖操作数据和生长抽样数据,进行时间对齐、异常剔除和有效性筛查,识别养殖对象所处生长阶段,构建基础养殖状态表征;进一步计算生长驱动力指标和预测置信度指标,依据二者从预设调控候选集合中确定目标调控方案,并对投喂、换水、增氧、控温、分池及人工复核进行调控。该方法可提高菲牛蛭养殖调控的准确性和稳定性。
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