基于数据采集及预测智能优化节能系统  

Intelligent Optimization Energy Saving System Based on Data Acquisition and Prediction

作　　者：周斌 Zhou Bin(万洲电气武汉研发中心)

机构地区：[1]万洲电气武汉研发中心

出　　处：《智慧工厂》2024年第4期71-74,共4页Smart Factory

摘　　要：本系统旨在通过先进的数据采集技术,全面、准确地收集能源使用相关的数据。利用大数据分析和预测模型,对能源消耗模式进行深入洞察和精准预测。基于这些数据和预测结果,系统采用智能优化算法,动态调整能源供应和使用策略,以实现显著的节能效果。例如,在工业生产中,根据设备运行数据和生产计划预测能源需求,优化设备的开关机时间和运行功率;在建筑领域,依据室内外环境数据和人员活动规律,自动调控照明、空调等系统的运行状态。该系统具有广泛的应用前景,可有效降低能源成本,减少碳排放,推动可持续发展。This system aims to comprehensively and accurately collect energy usage related data through advanced data collection technology.Utilize big data analysis and predictive models to gain in-depth insights and make accurate predictions on energy consumption patterns.Based on these data and prediction results,the system adopts intelligent optimization algorithms to dynamically adjust energy supply and usage strategies to achieve significant energy-saving effects.For example,in industrial production,predicting energy demand based on equipment operation data and production plans,optimizing equipment on/offtime and operating power;In the field of architecture,the operation status of lighting,air conditioning and other systems is automatically regulated based on indoor and outdoor environmental data and personnel activity patterns.This system has broad application prospects,which can effectively reduce energy costs,decrease carbon emissions,and promote sustainable development.

关 键 词：物联网 大数据分析 智能优化 能源策略 优化调度 减少碳排放 

分 类 号：TE08[石油与天然气工程]