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机加车间智能管控技术
引用本文:邱 枫. 机加车间智能管控技术[J]. 兵工自动化, 2023, 42(5)
作者姓名:邱 枫
作者单位:中国兵器装备集团自动化研究所有限公司
摘    要:为解决机加车间内机加单元、机床生产过程生产任务超期、设备平均利用率低等问题,对机加车间智能管控技术进行研究。阐述机加车间的单元组成和生产约束分析,构建机加单元车间数据采集、存储、分析和应用体系,对实时数据采集存储、任务排产与动态调度、智能管控等关键技术进行分析;结合某车间实际组成和任务情况,进行软件开发与实现,并在该现场进行部署应用。应用结果表明:该技术实现了机加车间任务、设备等关键生产资源的数字化建模与管理,提高车间机加设备平均利用率和任务按时完成率,有力助推智能管控技术在车间赋能,促进企业数字化转型。

关 键 词:机械加工;智能管控;智能制造
收稿时间:2023-02-25
修稿时间:2023-03-28

Intelligent Management and Control Technology of Machining Workshop
Abstract:In order to solve the problems of machining unit, machine tool production process, production task overdue and low average utilization rate of equipment in machining workshop, the intelligent management and control technology of machining workshop was studied. The unit composition and production constraint analysis of machining unit workshop are described, and the system of data acquisition, storage, analysis and application of machining unit workshop is constructed. The key technologies of real-time data acquisition and storage, task scheduling and dynamic scheduling, intelligent management and control are analyzed. Combined with the actual composition and task situation of a workshop, the software development and implementation are carried out, and the application is deployed in the field. The application results show that the technology realizes the digital modeling and management of key production resources such as tasks and equipment in the machining workshop, improves the average utilization rate of machining equipment in the workshop and the on-time completion rate of tasks, effectively promotes the empowerment of intelligent management and control technology in the workshop, and promotes the digital transformation of enterprises.
Keywords:machining   intelligent management and control   intelligent manufacturing
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