基于状态控制的冷冻鱼块双向定量切割技术研究OA
Research on bidirectional quantitative cutting technology for frozen fish blocks based on state control
为满足冷冻鱼块深加工对切割精度与效率的要求,设计一种基于X-Y直角坐标系的自动切割机控制系统,并提出基于流程状态切换的双向定量切割方法.系统以PLC为核心,集成人机界面(HMI)、双伺服系统、多组传感器、电磁阀-气缸执行机构及变频调速装置,构建模块化、可重构的控制架构.通过状态图控制,实现切割平台的高精度往复运动与双向交替切割;配合尺寸自适应、切割片数智能计算与首尾厚度补偿动态调整进给步距,提升切割一致性与成品率.结果表明,系统在保持单位切割时间不变的前提下,与单向切割方法相比,整体切割周期缩短约12.5%,每日节省系统运行时间超过1 h;将切片厚度误差控制在±0.1 mm以内.研究为冷冻水产的精深加工提供高效解决方案.
To meet the requirements for cutting precision and efficiency in the deep processing of frozen fish blocks,a control system for an automatic cutting machine based on an X-Y Cartesian coordinate system was designed,and a bidirectional quantitative cutting method based on process state switching was proposed.The system uses a PLC as the core,integrating a human-machine interface(HMI),a dual servo system,multiple sensor groups,solenoid valve-cylinder actuators,and a variable frequency speed control device to construct a modular and reconfigurable control architecture.Through state chart control,high-precision reciprocating motion of the cutting platform and bidirectional alternating cutting were achieved.Combined with size self-adaptation,intelligent calculation of the number of slices,and dynamic adjustment of the feed step distance via head and tail thickness compensation,cutting consistency and yield were improved.The results showed that,while maintaining the same unit cutting time,the overall cutting cycle was reduced by approximately 12.5%compared to the unidirectional cutting method,saving over 1 hour of daily system operation time.The slice thickness error was controlled within±0.1 mm.This research provides an efficient solution for the intensive processing of frozen aquatic products.
张文霞;袁健
青岛工学院 智能制造学院,山东 青岛 266300||齐鲁工业大学(山东省科学院)海洋技术科学学部,山东 青岛 266042齐鲁工业大学(山东省科学院)海洋技术科学学部,山东 青岛 266042
轻工纺织
冷冻鱼块定量切割双向控制自动切割机伺服控制系统
frozen fish blocksquantitative cuttingbidirectional controlautomatic cutting machineservo control system
《包装与食品机械》 2026 (1)
22-30,9
自然资源部重点实验室基金项目(2021klootA10)山东省高等学校自然科学研究项目(WL-GZY020)
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