一种基于工厂用能数据的节能方法的探索
叶寒生，顾宇，吕栋
（合肥科迈捷智能传感技术有限公司，安徽 合肥 230093）
摘要： 在制造业工厂中，不合理的异常用气是导致能源浪费的原因之一。为解决异常用气问题，提出了一种节能方
法，基于采集的产线用气数据，进行数据抽取、数据训练、数据模型建立、异常结果识别等数据处理，实现智能化异常
用气提醒，从而避免不合理的异常用气导致的能源损耗。
关键词： 异常用气；流量计量；物联网；数据处理；节能
中图分类号： TH71     文献标识码： A     文章编号： 2095-0802-(2022)04-0056-04
An Energy-saving Method Based on Factory Energy Consumption Data
YE Hansheng, GU Yu, LYU Dong
(Hefei Comate Intelligent Sensor Technology Co., Ltd., Hefei 230093, Anhui, China)
Abstract: Unreasonable and abnormal usage of gas is one of the causes of energy waste in most of manufacturing plants. In order
to solve the problems of abnormal usage of gas, this paper proposed an energy-saving method, which can realize an intelligent
warning of abnormal gas consumption through data processing of data extraction, data training, data model building and abnormal
result identification based on the collected energy consumption data of the production line to avoid energy consumption caused by
the unreasonable and abnormal usage of gas.

Key words: abnormal gas usage; flow measurement; Internet of Things; data processing; energy-saving