东南沿海地区工商业用户安全等级评估数据

工商业用户由于用气量大，作业环境复杂，周边环境人流量大，往往是燃气安全的重点监管场所。采集工商业用户的每日用气数据，用气设备数量和信息等，运用大数据构建其正常用气行为特征，得到正常用气时间范围、用气量值范围等信息，对其安全用气行为进行预测，如发现异常，可以及时提示报警。1、获取用户的历史数据，包括地区、户号、每日的用气量、设备编号等维度特征，运用大数据分析其历史行为，得到最大用气量、最小用气量、平均用气量等数据信息；2、通过用户开户日期、安装日期、用气时间，结合GBDT算法进行建模，形成用户画像；3、通过DeepFM深度学习算法，进行用气行为安全的预测，并结合历史数据，计算等级标签。

Industrial and commercial users, characterized by large gas consumption, complex working environments and heavy pedestrian flow in surrounding areas, are key supervision targets for gas safety. By collecting daily gas consumption data, the quantity and information of gas-using equipment and other relevant data of such users, we can construct normal gas consumption behavior profiles using big data technologies, obtain information such as normal gas consumption time range and gas consumption value range, predict their safe gas usage behaviors, and issue timely alerts when abnormalities are detected. 1. Collect historical user data including dimensional features such as region, household number, daily gas consumption, equipment number and other related dimensions; analyze their historical behaviors via big data analysis to derive metrics including maximum gas consumption, minimum gas consumption and average gas consumption. 2. Build models combined with the GBDT algorithm based on users' account opening dates, installation dates and gas usage time, to generate user portraits. 3. Conduct safety prediction of gas consumption behaviors through the DeepFM deep learning algorithm, and calculate risk level labels by integrating with historical user data.

搜集汇总

数据集介绍

特点

该数据集包含东南沿海地区工商业用户的用气数据，用于评估用户的安全等级。数据每日更新，通过大数据分析用户的用气行为，预测安全用气行为，并在发现异常时及时报警。