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作 者:白翔 倪永付 路川 赵成新 王勇 BAI Xiang;NI Yong-Fu;LU Chuan;ZHAO Cheng-Xin;WANG Yong(Comprehensive Technical Service Center of Jining Customs,Jining 272000,China;Heze Customs,Heze 274000,China;Jinan Customs Technical Center,Tai’an 271000,China)
机构地区:[1]济宁海关综合技术服务中心,济宁272000 [2]菏泽海关,菏泽274000 [3]济南海关技术中心,泰安271000
出 处:《实验室检测》2024年第8期66-69,共4页Laboratory Testing
摘 要:随着科技的飞速发展和数字化转型的深入推进,检验检测机构面临着设备管理数字化、智能化转型的重要挑战。本文旨在探讨检验检测机构设备数智化管理应用情况,分析当前检验检测机构设备管理的现状,指出存在的问题和不足,提出引入人工智能、大数据分析、自动化控制及物联网技术等手段在数智化设备管理应用的具体场景,实现设备预测维护、优化设备资源配置,远程控制和信息共享,以提升设备管理效率,保障检测质量,适应日益复杂多变的检测需求。本文还探讨了数智化管理在提升仪器设备检测效率、保障检测质量、降低运营成本等方面的优势,总结了数智化管理在检验检测机构中的重要作用展望未来趋势,提出发展建议,以期为推动检验检测机构设备管理数字化、智能化转型提供参考和借鉴。With the rapid development of technology and the deepening of digital transformation,inspection and testing institutions are confronted with significant challenges in the digitization and intelligent transformation of equipment management.This paper aimed to discuss the application of intelligent equipment management in inspection and testing institutions,analyze the current status of equipment management in inspection and testing institutions,point out existing problems and shortcomings,and propose specific scenarios for the application of artificial intelligence,big data analysis,automation control and Internet of things technology in intelligent equipment management,so as to achieve equipment predictive maintenance and optimize equipment resource allocation,remote control and information sharing to improve the efficiency of equipment management,ensure the quality of testing,to meet the increasingly complex testing needs.This paper also discussed the advantages of digital intelligent management in improving instrument and equipment testing efficiency,ensuring testing quality and reducing operating costs,summarized the important role of digital intelligent management in inspection and testing institutions,looked forward to the future trend,and put forward development suggestions,in order to provide reference and reference for promoting the digitalization and intelligent transformation of equipment management in inspection and testing institutions.
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