农业生产光照强度分析数据

本数据通过对养殖场的光照情况进行记录并分析，记录生长过程中光照的波动数值，依托生产经验，根据本数据形成大数据模型，可以复制到本行业的各大养殖场，通过调节光照强度、光照时间，使每日的光照处于平稳状态，保证养殖场的产量及肉制品质量。生成大数据模型，依靠行业经验进行具体判定，关于光照的具体判定数值属于行业秘密，不做过多描述。生产光照强度分析数据的算法规则包括以下几个方面：通过实时上传的监测数据计算出采集周期范围内生产光照数据，以实现对光照数据分析。具体过程如下：（1）数据采集：通过物联网监测设备实时监测生产现场的光照数据；（2）数据处理：使用SUM函数计算当日累计光照强度、当日累计光照时长，综合计算当日平均光照强度=当日累积光照强度/当日累积光照时长；（3）数据应用：通过长期光照数据跟踪和分析，可根据采集所得的数据按每天进行分析，形成优化养殖和生产的大数据模型。

This dataset is established by recording and analyzing the lighting conditions in livestock farms, capturing the fluctuation values of lighting throughout the breeding growth process. Leveraging industry production experience, a big data model can be developed based on this dataset, which can be replicated across major farms in the same livestock breeding industry. By adjusting light intensity and illumination duration, daily lighting conditions can be stabilized, thereby ensuring the production yield and meat quality of the farms. The development of this big data model relies on industry experience for specific judgment, while the specific judgment values related to lighting are trade secrets and will not be elaborated.

The algorithm rules for generating production light intensity analysis data cover the following aspects: Calculate the production lighting data within the acquisition cycle using real-time uploaded monitoring data to enable comprehensive lighting data analysis. The specific workflow is as follows:
(1) Data Collection: Real-time monitoring of on-site production lighting data via IoT monitoring equipment;
(2) Data Processing: Employ the SUM function to calculate the daily cumulative light intensity and daily cumulative illumination duration, and comprehensively derive the daily average light intensity as daily cumulative light intensity / daily cumulative illumination duration;
(3) Data Application: Through long-term tracking and analysis of lighting data, daily analysis can be performed using the collected data to form a big data model for optimizing breeding and production operations.