Big data-based electric power measurement operation and maintenance work discriminant planning method

The invention relates to an electric power measurement operation and maintenance work discriminant planning method based on big data. The method comprises the following steps: constructing a multi-dimensional feature library by using feature engineering; acquiring corresponding actual operation and maintenance data based on the multi-dimensional feature library, and acquiring a pre-constructed evaluation score model to obtain index scores of all dimensions; and utilizing a pre-constructed operation and maintenance planning model to predict and obtain a next work plan based on the index score of each dimension, the operation and maintenance planning model being obtained based on a random forest algorithm. Compared with the prior art, reliable basis can be provided for operation and maintenance work, and feasibility is high. 本发明涉及一种基于大数据的电力计量运维工作判别规划方法，包括以下步骤：运用特征工程构建多维度特征库；基于所述多维度特征库采集对应的实际运维数据，采集预先构建的评价得分模型获得各维度指标得分；利用预先构建的运维规划模型，基于所述各维度指标得分，预测获得下一步工作规划，所述运维规划模型基于随机森林算法获得。与现有技术相比，本发明能够对运维工作提供可靠依据，可行性高。