习酒气象雷达实况数据集

对采集到的各类气象数据（如气温、降水、风力、气压等）统一存储至指定数据库，确保数据存储安全且便于调用；随后对数据库中的原始数据开展清洗操作，剔除设备故障导致的异常值、重复记录及无效信息，再进行系统化加工处理（如校准数据精度、统一统计单位与时间维度），形成结构规范、信息准确的高质量数据集；最终基于该数据集开展多维度数据分析（如气象趋势研判、异常天气识别），并以图表、热力图等可视化形式展示分析结果，直观呈现气象变化特征。All collected meteorological data (e.g., air temperature, precipitation, wind force, atmospheric pressure, etc.) are uniformly stored in a designated database to ensure data storage security and facilitate data retrieval. Subsequently, data cleaning is conducted on the raw data in the database: outliers, duplicate records and invalid information caused by equipment malfunctions are removed, followed by systematic processing including calibrating data precision, unifying statistical units and temporal dimensions, to form a high-quality dataset with standardized structure and accurate information. Finally, multi-dimensional data analysis is performed based on this dataset, such as meteorological trend analysis and abnormal weather recognition, and the analysis results are visualized through formats like charts and heatmaps, intuitively presenting the characteristics of meteorological variations.

搜集汇总

背景与挑战

背景概述

该数据集由贵州习酒股份有限公司自行产生，规模达32G且每日更新，包含气温、气压等气象雷达实况数据。主要用于企业内部气候风险预防和生产计划调整，通过数据清洗和可视化分析提升气象应对的及时性与有效性。