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作 者:张恒达 李生龙 张成林 朱晓月 崔晨昊 范仲亚 ZHANG Hengda;LI Shenglong;ZHANG Chenglin;ZHU Xiaoyue;CUI Chenhao;FAN Zhongya(Buhler(Wuxi)Commercial Co.Ltd,Wuxi 214142,Jiangsu)
机构地区:[1]布勒(无锡)商业有限公司,江苏无锡214142
出 处:《中国食品学报》2025年第1期1-11,共11页Journal of Chinese Institute Of Food Science and Technology
摘 要:本文综述谷物加工设备智能化的发展历程及其具体应用实践。谷物加工的智能化发展历经数据连通、生产监控、数据反馈调节和自我优化调节4个重要阶段。每个阶段都标志着技术的重大进步和对应用的深远影响。数据连通阶段,实现工厂内设备自动化和生产数据的采集,初步提升了生产效率和管理透明化。生产监控阶段,通过对生产过程采集的数据进行深度分析,形成数据驱动的优化和改进建议,更好地提升生产效率及产品质量。数据反馈调节阶段,基于数据分析决策,指导设备自动调节,实现重要功能的闭环控制,降低人工干预,显著提高生产效率,保证产品品质。自我优化调节阶段,集成人工智能和机器学习算法,实现设备的自主决策和优化控制,真正达到智能化水平。当前,谷物加工智能化在前3个阶段均有良好实践,如数据连通阶段的自动化连续卸船机和智能研磨系统;生产监控阶段的故障停机分析和温度及振动管理等;数据反馈调节阶段的面粉粉色闭环控制和麸皮含粉闭环控制等,均在行业内带来较大影响。未来,随着谷物加工设备技术的不断创新,人工智能、大数据、物联网等技术将会持续发展和实践,谷物加工智能化将迎来更加广阔的发展前景。This article reviews the development journey of intelligent grain processing equipment and introduces the specific application practice of intelligence in grain processing equipment.The intelligent development of grain processing has gone through four important stages:Connect,monitor,assist,and self-optimize.Each stage marks a significant advancement in technology and a profound impact on applications.In the connect stage,the automation of the equipment in the factory and the collection of production data were achieved,which initially improved the production efficiency and management transparency.In the monitor stage,data-driven optimization and optimization suggestions are generated through the data in-depth analysis in the production process,which help to better improve production efficiency and product quality.In the assist stage,based on data analysis and decision-making,it guides the automatic adjustment of equipment,achieve the closed-loop control for important functions,which reduces manual intervention,significantly improves production efficiency and ensures product quality.In the self-optimize stage,AI technology and machine learning algorithms are integrated to achieve the decision-making and optimal control of the equipment automatically,which reflect the intelligence is truly reached.At present,there are good practices in the first three stages of intelligent development of grain processing,such as automatic continuous ship unloader and intelligent grinding system in the data connection stage.Production monitoring stage of the error and downtime analysis system,temperature and vibration management sys tem,etc.The color loop control and bran starch loop control in the data feedback adjustment stage have brought great influence in the industry.In the future,with the continuous innovation of grain processing equipment technology,AI,big data,IoT and other technologies will continue to develop and practice and grain processing intelligence will usher in a broader development prospect.
关 键 词:智能化 谷物加工 传感器 数据驱动 反馈调节 生产效率 资源优化
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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