大数据技术在制冷领域的数字化应用  

Digitalization of Big Data Technology in Refrigeration

作　　者：丁文星 王培宇 

机构地区：[1]澳柯玛股份有限公司,青岛266510 [2]威凯检测技术有限公司,广州510663

出　　处：《日用电器》2024年第4期25-29,共5页ELECTRICAL APPLIANCES

摘　　要：随着信息时代的不断发展,大数据技术逐渐成为推动各行业创新的引擎之一。本文聚焦于大数据技术在制冷领域的数字化应用,深入研究了其在提升制冷系统性能、降低能耗、优化运维管理等方面的潜在价值。首先,通过对制冷系统产生的海量数据进行采集、存储和处理,实现对系统运行状态的实时监测与分析,从而提高系统的响应速度和稳定性。其次,大数据技术在预测维护方面的应用,通过分析历史数据和趋势,能够实现设备故障的提前预警,最大程度地减少停机时间,提高制冷系统的可靠性。此外,通过大数据分析,我们能够深入了解用户需求和环境变化,从而优化制冷系统的运行模式,降低能源消耗,实现绿色环保的制冷效果。本文最后提出了在制冷领域推广大数据技术的建议,以促进数字化转型,提高制冷系统的智能化水平,为未来制冷行业的可持续发展提供有力支持。With the continuous development of the information age,big data technology has gradually become one of the engines to promote innovation in various industries.This paper focuses on the digital application of big data technology in the field of refrigeration,and in-depth study of its potential value in improving the performance of refrigeration systems,reducing energy consumption,optimizing operation and maintenance management.First,by collecting,storing and processing the massive data generated by the refrigeration system,it realizes real-time monitoring and analysis of the system's operating status,thus improving the system's response speed and stability.Secondly,the application of big data technology in predictive maintenance,through the analysis of historical data and trends,can realize the early warning of equipment failure,minimize downtime and improve the reliability of the refrigeration system.In addition,through big data analysis,we are able to gain a deeper understanding of user needs and environmental changes,so as to optimize the operation mode of the refrigeration system,reduce energy consumption,and achieve green refrigeration effects.This paper concludes with a proposal to promote big data technology in the refrigeration field in order to promote digital transformation,improve the intelligence level of refrigeration systems,and provide strong support for the sustainable development of the refrigeration industry in the future.

关 键 词：大数据 制冷 数字化 

分 类 号：TB65[一般工业技术—制冷工程] TP39[自动化与计算机技术—计算机应用技术]