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增加预安装供料器功能、路径规划模型支持单点、整线优化支持批量处理

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hit_lu
2024-11-01 09:14:44 +08:00
parent 37f4e5b02c
commit 045f2f394d
15 changed files with 990 additions and 936 deletions
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20
lineopt_model.py
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@ -1,12 +1,13 @@
from base_optimizer.optimizer_common import *
from base_optimizer.result_analysis import *
from base_optimizer.smtopt_route import *
def line_optimizer_model(component_data, pcb_data, machine_num, hinter=True):
mdl = Model('pcb assembly line optimizer')
mdl.setParam('Seed', 0)
mdl.setParam('OutputFlag', hinter) # set whether output the debug information
# mdl.setParam('TimeLimit', 0.01)
mdl.setParam('OutputFlag', hinter) # set whether output the debug information
mdl.setParam('TimeLimit', 600 * 3)
nozzle_type, component_type = [], []
for _, data in component_data.iterrows():
@ -24,7 +25,7 @@ def line_optimizer_model(component_data, pcb_data, machine_num, hinter=True):
S = min(len(component_data) * ratio, 60)
K = math.ceil(len(pcb_data) * 1.0 / H / M) + 1
# K = 3
CompOfNozzle = [[0 for _ in range(J)] for _ in range(I)] # Compatibility
CompOfNozzle = [[0 for _ in range(J)] for _ in range(I)] # Compatibility
component_point = [0 for _ in range(I)]
for idx, data in component_data.iterrows():
@ -41,7 +42,7 @@ def line_optimizer_model(component_data, pcb_data, machine_num, hinter=True):
d_minus = mdl.addVars(list_range(J), list_range(K), list_range(H), list_range(M), lb=0, vtype=GRB.CONTINUOUS)
w = mdl.addVars(list_range(K), list_range(M), vtype=GRB.CONTINUOUS)
e = mdl.addVars(list_range(-(H - 1) * ratio, S), list_range(K), list_range(M), vtype=GRB.BINARY)
e = mdl.addVars(list_range(-(H - 1) * ratio, S), list_range(K), list_range(M), vtype=GRB.BINARY)
f = mdl.addVars(list_range(S), list_range(I), list_range(M), vtype=GRB.BINARY, name='')
obj = mdl.addVar(lb=0, ub=N, vtype=GRB.CONTINUOUS)
@ -87,7 +88,8 @@ def line_optimizer_model(component_data, pcb_data, machine_num, hinter=True):
in range(K) for m in range(M))
# feeder related
mdl.addConstrs(quicksum(f[s, i, m] for s in range(S) for m in range(M)) <= component_data.iloc[i].fdn for i in range(I))
mdl.addConstrs(
quicksum(f[s, i, m] for s in range(S) for m in range(M)) <= component_data.iloc[i].fdn for i in range(I))
mdl.addConstrs(quicksum(f[s, i, m] for i in range(I)) <= 1 for s in range(S) for m in range(M))
mdl.addConstrs(
quicksum(u[i, k, h, m] * v[s, k, h, m] for h in range(H) for k in range(K)) >= f[s, i, m] for i in range(I) for
@ -153,6 +155,10 @@ def line_optimizer_model(component_data, pcb_data, machine_num, hinter=True):
if abs(v[s, k, h, m].x) < 1e-3:
continue
feeder_slot_result[-1][h] = s
if sum(component_result[-1]) == -max_head_index:
component_result.pop(-1)
cycle_result.pop(-1)
feeder_slot_result.pop(-1)
average_pos = round(
(sum(head_place_pos) / len(head_place_pos) + stopper_pos[0] - slotf1_pos[0] + 1) / slot_interval)
@ -161,13 +167,13 @@ def line_optimizer_model(component_data, pcb_data, machine_num, hinter=True):
for h in range(H):
if feeder_slot_result[k][h] == -1:
continue
feeder_slot_result[k][h] = feeder_slot_result[k][h] * 2 + average_pos
feeder_slot_result[k][h] = feeder_slot_result[k][h] * 2 + average_pos
placement_result, head_sequence = greedy_placement_route_generation(partial_component_data, partial_pcb_data,
component_result, cycle_result,
feeder_slot_result, hinter=False)
print('----- Placement machine ' + str(m + 1) + ' ----- ')
opt_res = OptResult(component_result, cycle_result,feeder_slot_result, placement_result, head_sequence)
opt_res = OptResult(component_result, cycle_result, feeder_slot_result, placement_result, head_sequence)
info = placement_info_evaluation(partial_component_data, partial_pcb_data, opt_res, hinter=False)
optimization_assign_result(partial_component_data, partial_pcb_data, opt_res, nozzle_hinter=True,
component_hinter=True, feeder_hinter=True)