The invention discloses a
textile production-oriented intelligent collaborative carrying method for strip barrels, which comprises the following steps of: constructing a factory
semantic map, marking a working road section and feeding and discharging positions, defining a
storage area and a
machine working area, inputting a production task, establishing a scheduling map model, and carrying out carrying task distribution and path planning on a strip
barrel carrying
robot. Meanwhile, the production process is monitored, and according to the process stage, the
machine state, the material state and the area
utilization rate are collected in real time, and path planning and carrying task allocation priority are adjusted. The
system can monitor the production process in real time, dynamically adjust the carrying task priority and optimize
resource utilization. In addition, the method also comprises a
deadlock detection and
recovery mechanism and a global path conflict check, so that the stability and adaptability of the
system are ensured. Through a
simulation test, operation of the
robot and the
machine can be effectively coordinated, complex production and manufacturing tasks are completed, and the intelligent level of the
wool spinning production process is remarkably improved.