金元鲃鱼养殖水环境参数与生长监测数据

聚焦工厂化养殖场景，通过实时监测水体pH、溶解氧、氨氮、亚硝酸盐等水环境指标，结合金元鲃鱼“滇优1号”生长数据，通过生长指数对环境状态进行分级（优良/良好/一般/较差/恶劣），自动识别环境异常（如高温缺氧），及时触发增氧、调水等干预措施，降低死亡率；同时，基于水环境参数、生长指数和环境状态分级自动调节投饵机、增氧机启停，避免浪费，节约能耗。本数据集合适用于金元鲃鱼工厂化规模化养殖的生长管理与风险预警，降低养殖损耗和成本，推动金元鲃鱼养殖模式向绿色高效可持续转型。Focusing on large-scale industrial aquaculture scenarios, this dataset conducts real-time monitoring of water environmental indicators including pH, dissolved oxygen (DO), ammonia nitrogen (NH₃-N), nitrite (NO₂⁻) and others, combined with the growth data of 'Dianyou No.1' golden-line barbel. It classifies the environmental status into five grades (excellent, good, fair, poor and severe) via growth indices, automatically identifies environmental anomalies such as high temperature and hypoxia, and timely triggers intervention measures like aeration and water quality regulation to reduce mortality. Meanwhile, it automatically adjusts the start and stop of feeders and aerators based on water environmental parameters, growth indices and environmental status grades, so as to avoid waste and save energy consumption. This dataset is suitable for growth management and risk early warning in large-scale industrial aquaculture of 'Dianyou No.1' golden-line barbel, helping to reduce farming losses and costs, and promoting the transformation of the golden-line barbel farming model towards green, efficient and sustainable development.

搜集汇总

背景与挑战

背景概述

该数据集聚焦金元鲃鱼工厂化养殖场景，通过实时监测水体pH、溶解氧、氨氮、亚硝酸盐等关键环境参数，并结合金元鲃鱼‘滇优1号’的生长数据，对环境状态进行分级和异常识别，自动触发增氧、调水等干预措施以降低死亡率。同时，基于水环境参数和生长指数自动调节投饵机、增氧机启停，实现节能降耗，适用于规模化养殖的生长管理与风险预警，助力养殖模式向绿色高效可持续转型。