贵州煤矿用电检测

通过煤矿企业生产活动中的生产指标、安全监测数据及人员活动记录。收集后，数据经过去噪、补缺、标准化等预处理步骤，并提取生产效率、安全风险等关键特征。利用随机森林、LSTM等模型对数据进行训练和验证，最终输出企业生产情况的分析结果，并识别异常模式触发预警。

This dataset is collected from production indicators, safety monitoring data and personnel activity records generated during the production activities of coal mining enterprises. After collection, the data undergoes preprocessing steps including denoising, missing value imputation, standardization and others, and key features such as production efficiency and safety risks are extracted. Models including Random Forest and LSTM are used to train and validate the data, finally outputting the analysis results of the enterprise's production status, identifying abnormal patterns and triggering early warnings.

搜集汇总

背景与挑战

背景概述

该数据集由贵州电网有限责任公司信息中心自行产生，规模为5G，更新周期为月。主要用于监测煤矿企业生产活动中的超强度、超能力、偷采超产等违法违规行为，通过随机森林、LSTM等模型分析数据并触发预警。