simpy仿真JS-AGV联合调度(考虑AGV运输时间的作业车间调度)小实验(一:演示框架)
2021/9/9 23:05:54
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这个项目纯属小个人娱乐小项目,由于最近突然发现了一个比较好玩的第三方库simpy,由此引发了这一个小实验的灵感,本项目涉及内容:
路径优化算法:A*算法(采用A*做一个无路径冲突的AGV调度),其中节点间距离采用曼哈顿距离。
界面开发工具:tkinter
仿真工具:simpy
JS-AGV算例:3机器、3工件、2个AGV,不考虑AGV充电、考虑装卸站和路径冲突。
实验的目的:做一个动态演示的排产过程以及AGV调度过程。
实验扩展:后续有时间将采用强化学习来指导调度过程。
Machine=[ [1,2,3], [2,3,1], [1,3,2], ] #机器在地图中的坐标 Machine_site=[[4,1],[4,2],[4,3]] Processing_time=[ [4,7,8], [5,2,3], [1,3,4] ] AGV_num=2
首先,搭建演示框架:
import simpy import tkinter as tk class Center: def __init__(self,Env,x=4,y=5): self.x=x self.y=y self.unit=70 self.Origin = [1, 2] self.split = 5 self.Hight = self.y - 1 # 4 self.Width = self.x - 1 # 3 self.build_JSP() def build_JSP(self): self.window = tk.Tk() self.window.title("Job shop scheduling simulation") self.window.geometry("{1}x{1}".format((self.Hight + 4) * self.unit , (self.Width + 9) * self.unit)) self.canvas = tk.Canvas(bg="white", height=(self.Hight + 4) \ * self.unit, width=(self.Width + 9) * self.unit) # Grid Layout for c in range(0, (self.Width * self.unit + 1), self.unit): x0, y0, x1, y1 = self.Origin[0] * self.unit + c, self.Origin[1] * self.unit \ , self.Origin[0] * self.unit + c, (self.Hight + self.Origin[1]) \ * self.unit self.canvas.create_line(x0, y0, x1, y1) for r in range(0, (self.Hight * self.unit + 1), self.unit): x0, y0, x1, y1 = self \ .Origin[0] * self.unit, self.Origin[1] * self.unit + r \ , (self.Width + self.Origin[0]) * self.unit \ , self.Origin[1] * self.unit + r self.canvas.create_line(x0, y0, x1, y1) # Loading Point L = [[0, 2]] for i in range(len(L)): p1 = [(self.Origin[0] + L[i][0]) * self.unit - 5, (self.Origin[1] + self.Hight - L[i][1]) \ * self.unit - 5] p2 = [(self.Origin[0] + L[i][0]) * self.unit + 5, (self.Origin[1] + self.Hight - L[i][1]) \ * self.unit + 5] self.canvas.create_oval(p1[0], p1[1], p2[0], p2[1], fill="blue") # Unloading Point U = [[0, 1]] for i in range(len(U)): p1 = [(self.Origin[0] + U[i][0]) * self.unit - 5, (self.Origin[1] + self.Hight - U[i][1]) \ * self.unit - 5] p2 = [(self.Origin[0] + U[i][0]) * self.unit + 5, (self.Origin[1] + self.Hight - U[i][1]) \ * self.unit + 5] self.canvas.create_oval(p1[0], p1[1], p2[0], p2[1], fill="green") # P/D Point PD = [[2,1],[2,2],[2,3]] Machine_name=["M1","M2","M3"] #scheduling的布局 self.canvas.create_rectangle( 4.1* self.unit, 2* self.unit, 11* self.unit, 6* self.unit \ , fill="white") for i in range(len(PD)): p1 = [(self.Origin[0] + PD[i][0]) * self.unit - 5, (self.Origin[1] \ + self.Hight - PD[i][1]) * self.unit - 5] p2 = [(self.Origin[0] + PD[i][0]) * self.unit + 5, (self.Origin[1] \ + self.Hight - PD[i][1]) * self.unit + 5] self.canvas.create_rectangle(p1[0]-20, p1[1]-20, p2[0]+20, p2[1]+20 \ , fill="orange") self.canvas.create_text(p1[0]+5, p1[1]+5, text=Machine_name[i] , font=("arial", 12), fill="black") self.canvas.create_rectangle(p1[0] - 20+1.7*self.unit, p1[1] - 20, p2[0] + 20+1.7*self.unit, p2[1] + 20 \ , fill="red") self.canvas.create_text(p1[0] + 5+1.7*self.unit, p1[1] + 5, text=Machine_name[i] , font=("arial", 12), fill="black") # AS/RS] p = [0.5 * self.unit, 4.5 * self.unit] p1 = [0.1* self.unit, 5.5* self.unit] p2 = [1* self.unit,3.5* self.unit] self.canvas.create_rectangle(p1[0], p1[1], p2[0], p2[1] \ , fill="yellow") self.canvas.create_text(p[0], p[1], text="AS/RS" , font=("arial", 12), fill="black") self.canvas.create_rectangle(0* self.unit \ , 0* self.unit, 1.6* self.unit \ , 0.8* self.unit \ , fill="gray") self.time = self.canvas.create_text(0.8 * self.unit \ , 0.4 * self.unit, text="00:00" \ , font=("arial", 20) \ , fill="Blue") self.canvas.create_text(2.5*self.unit, 1.5*self.unit, text="SIMULATION SIDE" , font=("arial", 12), fill="black") self.canvas.create_text(7.5 * self.unit, 1.5 * self.unit, text="SCHEDULING SIDE" , font=("arial", 12), fill="black") self.canvas.pack() self.window.mainloop() Env=simpy.Environment() c=Center(Env)
得到界面框架如下:
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