海洋浮标实时溶氧量数据

通过含氧量传感器信息来监控观测点的实时数据，反映出海洋生态环境的基本情况，进而评估海洋生物群落的健康状况并及时预警环境污染，为大黄鱼养殖平台及海洋大数据服务平台等提供数据支持。1.校准：在采集溶氧量数据之前，需要对浮标的传感器进行校准，以保证数据的准确性。 2.采集：利用氧分子对荧光的影响以及其吸光度的不同来测量水体中溶解氧量定时采集海水的溶氧量数据，并将其发送到地面站或卫星上。 3.预处理：接收到溶氧量数据后，需要进行crc校验，以提高数据的可靠性和稳定性。 4.转换：由于溶氧量与海水中的溶解氧含量有关，因此需要将溶氧量数据通过使用温度和海拔高度的组合修正公式来计算溶氧饱和度，根据溶氧饱和度和溶氧含量之间的关系，使用公式将溶氧含量转化为溶氧量。 5.存储和分析：转换后的数据可以存储在数据库中，通过计算平均值、波动范围，采用ARIMA模型，对数据进行可视化分析，识别数据中的趋势、周期、季节性等特征并与实际数据进行比较，以验证模型的准确性和稳定性，根据测试结果，对模型进行优化调整，以提高模型的预测精度和稳定性。以供后续的数据分析和应用使用。Real-time data of monitoring points is collected via dissolved oxygen sensors, which reflects the basic status of the marine ecological environment, evaluates the health status of marine biological communities, provides timely early warning for environmental pollution, and offers data support for large yellow croaker farming platforms, marine big data service platforms and other relevant systems. 1. Calibration: Before collecting dissolved oxygen data, calibration of the buoy's sensors is required to ensure data accuracy. 2. Data Acquisition: The dissolved oxygen content in seawater is measured by utilizing the effect of oxygen molecules on fluorescence and their difference in absorbance. Dissolved oxygen data of seawater is collected regularly and transmitted to ground stations or satellites. 3. Preprocessing: After receiving the dissolved oxygen data, CRC check is conducted to improve the reliability and stability of the data. 4. Data Conversion: Since dissolved oxygen levels are related to dissolved oxygen concentration in seawater, a combined correction formula incorporating temperature and altitude is used to calculate dissolved oxygen saturation. Then, based on the relationship between dissolved oxygen saturation and dissolved oxygen content, the dissolved oxygen content is converted into dissolved oxygen levels via a dedicated formula. 5. Storage and Analysis: The converted data can be stored in a database. Statistical analyses including calculating average values and fluctuation ranges are performed, and the ARIMA model is adopted for visual analysis of the data. Features such as trends, cycles and seasonality in the data are identified and compared with actual data to verify the accuracy and stability of the model. The model is optimized and adjusted according to test results to enhance its prediction accuracy and stability, so as to support subsequent data analysis and application scenarios.

搜集汇总

数据集介绍

特点

该数据集由浙江同博科技发展有限公司提供，包含259条海洋浮标实时溶氧量数据，每日更新。数据通过含氧量传感器采集，用于监控海洋生态环境，评估海洋生物群落健康状况，并为大黄鱼养殖平台及海洋大数据服务平台提供支持。