721 lines
37 KiB
Python
721 lines
37 KiB
Python
from base_optimizer.optimizer_common import *
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@timer_wrapper
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def feeder_allocate(component_data, pcb_data, feeder_data, figure=False):
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feeder_points, feeder_division_points = defaultdict(int), defaultdict(int) # 供料器贴装点数
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mount_center_pos = defaultdict(int)
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feeder_limit, feeder_arrange = defaultdict(int), defaultdict(int)
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part_nozzle = defaultdict(str)
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feeder_base = [-2] * max_slot_index # 已安装在供料器基座上的元件（-2: 未分配，-1: 占用状态）
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feeder_base_points = [0] * max_slot_index # 供料器基座结余贴装点数量
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for data in pcb_data.iterrows():
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pos, part = data[1]['x'] + stopper_pos[0], data[1]['part']
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part_index = component_data[component_data['part'] == part].index.tolist()[0]
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if part not in component_data:
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feeder_limit[part_index] = component_data.loc[part_index]['feeder-limit']
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feeder_arrange[part_index] = 0
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feeder_points[part_index] += 1
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mount_center_pos[part_index] += ((pos - mount_center_pos[part_index]) / feeder_points[part_index])
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part_nozzle[part_index] = component_data.loc[part_index]['nz']
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for part_index, points in feeder_points.items():
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feeder_division_points[part_index] = max(points // feeder_limit[part_index], 1)
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nozzle_component, nozzle_component_points = defaultdict(list), defaultdict(list)
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for part, nozzle in part_nozzle.items():
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for _ in range(feeder_limit[part]):
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nozzle_component[nozzle].append(part)
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nozzle_component_points[nozzle].append(feeder_points[part])
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if feeder_data is not None:
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for _, feeder in feeder_data.iterrows():
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slot, part = feeder['slot'], feeder['part']
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part_index = component_data[component_data['part'] == part].index.tolist()[0]
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# 供料器基座分配位置和对应贴装点数
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feeder_base[slot], feeder_base_points[slot] = part_index, feeder_division_points[part_index]
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feeder_type = component_data.loc[part_index]['fdr']
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extra_width = feeder_width[feeder_type][0] + feeder_width[feeder_type][1] - slot_interval
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while extra_width > 0:
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slot += 1
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feeder_base[slot] = -1
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extra_width -= slot_interval
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feeder_limit[part_index] -= 1
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feeder_arrange[part_index] += 1
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if feeder_limit[part_index] < 0:
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info = 'the number of arranged feeder for [' + part + '] exceeds the quantity limit'
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raise ValueError(info)
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for nozzle, components in nozzle_component.items():
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if part_index in components:
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index_ = components.index(part_index)
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nozzle_component[nozzle].pop(index_)
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nozzle_component_points[nozzle].pop(index_)
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break
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nozzle_assigned_counter = optimal_nozzle_assignment(component_data, pcb_data)
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head_assign_indexes = list(range(max_head_index))
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nozzle_pattern, optimal_nozzle_pattern, optimal_nozzle_points = [], None, 0
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# nozzle_pattern = ['CN220', 'CN065','CN065','CN065','CN065','CN220']
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# 先排序
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nozzle_pattern_list = []
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for nozzle, counter in nozzle_assigned_counter.items():
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nozzle_pattern_list.append([nozzle, sum(nozzle_component_points[nozzle]) // counter])
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nozzle_pattern_list.sort(key=lambda x: x[1], reverse=True)
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# 后确定吸嘴分配模式
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head_index = [3, 2, 4, 1, 5, 0]
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nozzle_pattern = [0] * max_head_index
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for nozzle, _ in nozzle_pattern_list:
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counter = nozzle_assigned_counter[nozzle]
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while counter:
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nozzle_pattern[head_index[0]] = nozzle
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counter -= 1
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head_index.pop(0)
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while True:
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best_assign, best_assign_points = [], []
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best_assign_slot, best_assign_value = -1, -np.Inf
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best_nozzle_component, best_nozzle_component_points = None, None
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for slot in range(1, max_slot_index // 2 - (max_head_index - 1) * interval_ratio + 1):
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nozzle_assigned_counter_cpy = copy.deepcopy(nozzle_assigned_counter)
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feeder_assign, feeder_assign_points = [], []
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tmp_feeder_limit, tmp_feeder_points = feeder_limit.copy(), feeder_points.copy()
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tmp_nozzle_component, tmp_nozzle_component_points = copy.deepcopy(nozzle_component), copy.deepcopy(
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nozzle_component_points)
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# 记录扫描到的已安装的供料器元件类型
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for head in range(max_head_index):
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feeder_assign.append(feeder_base[slot + head * interval_ratio])
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if scan_part := feeder_assign[-1] >= 0:
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nozzle = part_nozzle[scan_part]
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feeder_assign_points.append(feeder_base_points[slot + head * interval_ratio])
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if feeder_assign_points[-1] <= 0:
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feeder_assign[-1], feeder_assign_points[-1] = -1, 0
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elif nozzle in nozzle_assigned_counter_cpy.keys():
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nozzle_assigned_counter_cpy[nozzle] -= 1
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if nozzle_assigned_counter_cpy[nozzle] == 0:
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nozzle_assigned_counter_cpy.pop(nozzle)
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else:
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feeder_assign_points.append(0)
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if -2 not in feeder_assign: # 无可用槽位
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if sum(feeder_assign_points) > optimal_nozzle_points:
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optimal_nozzle_points = sum(feeder_assign_points)
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optimal_nozzle_pattern = [''] * max_head_index
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for head in range(max_head_index):
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optimal_nozzle_pattern[head] = part_nozzle[feeder_assign[head]]
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continue
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assign_part_stack, assign_part_stack_points = [], []
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for idx in head_assign_indexes:
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if feeder_assign[idx] != -2:
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continue
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if len(nozzle_pattern) == 0: # 吸嘴匹配模式为空，优先分配元件，根据分配元件倒推吸嘴匹配模式
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nozzle_assign = ''
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max_points, max_nozzle_points = 0, 0
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for nozzle in nozzle_assigned_counter_cpy.keys():
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if len(tmp_nozzle_component[nozzle]) == 0:
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continue
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part = max(tmp_nozzle_component[nozzle],
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key=lambda x: tmp_feeder_points[x] / tmp_feeder_limit[x] if
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tmp_feeder_points[x] != 0 else 0)
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index_ = tmp_nozzle_component[nozzle].index(part)
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if max_points < tmp_nozzle_component_points[nozzle][index_]:
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max_points, nozzle_assign = tmp_nozzle_component_points[nozzle][index_], nozzle
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else:
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# 吸嘴匹配模式非空，按对应吸嘴类型进行元件分配
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nozzle_assign = nozzle_pattern[idx]
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if len(tmp_nozzle_component[nozzle_assign]) == 0:
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# 当前头对应吸嘴类型无可用元件，将计划分配的元件压入堆栈
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part = max(tmp_feeder_points.keys(),
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key=lambda x: tmp_feeder_points[x] / tmp_feeder_limit[x] if tmp_feeder_limit[
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x] != 0 else 0)
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for nozzle, component_list in tmp_nozzle_component.items():
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if part in component_list:
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nozzle_assign = nozzle
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assign_part_stack.append(part)
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assign_part_stack_points.append(feeder_division_points[part])
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break
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else:
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# 当前头对应吸嘴类型有可用元件，直接分配对应类型的元件
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index_ = tmp_nozzle_component[nozzle_assign].index(max(tmp_nozzle_component[nozzle_assign],
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key=lambda x: tmp_feeder_points[x] /
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tmp_feeder_limit[x] if
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tmp_feeder_limit[x] != 0 else 0))
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part = tmp_nozzle_component[nozzle_assign][index_]
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feeder_type = component_data.loc[part]['fdr']
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extra_width, extra_slot = feeder_width[feeder_type][0] + feeder_width[feeder_type][1] - slot_interval, 1
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slot_overlap = False
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while extra_width > 0:
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slot_ = slot + idx * interval_ratio + extra_slot
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if feeder_base[slot_] != -2 or slot_ > max_slot_index // 2:
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slot_overlap = True
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break
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extra_width -= slot_interval
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extra_slot += 1
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# 可用供料器数目充足且不存在和已有供料器的占位冲突
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if tmp_feeder_limit[part] > 0 and not slot_overlap:
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feeder_assign[idx], feeder_assign_points[idx] = part, feeder_division_points[part]
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extra_width, extra_head = feeder_width[feeder_type][0] + feeder_width[feeder_type][
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1] - head_interval, 1
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while extra_width > 0 and idx + extra_head < max_head_index:
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feeder_assign[idx + extra_head] = -1
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extra_head += 1
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extra_width -= head_interval
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else:
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part = -1 # 存在位置冲突的元件，不占用可用供料器数
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# 更新吸嘴匹配模式的吸嘴数
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if nozzle_assign in nozzle_assigned_counter_cpy.keys():
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nozzle_assigned_counter_cpy[nozzle_assign] -= 1
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if nozzle_assigned_counter_cpy[nozzle_assign] == 0:
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nozzle_assigned_counter_cpy.pop(nozzle_assign)
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if part >= 0 and tmp_feeder_limit[part] == 0:
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continue
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if part in tmp_nozzle_component[nozzle_assign]:
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part_index = tmp_nozzle_component[nozzle_assign].index(part)
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tmp_nozzle_component[nozzle_assign].pop(part_index)
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tmp_nozzle_component_points[nozzle_assign].pop(part_index)
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tmp_feeder_limit[part] -= 1
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tmp_feeder_points[part] -= feeder_division_points[part]
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# 元件堆栈出栈，首先分配吸嘴类型一致的头
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if nozzle_pattern:
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for head, feeder in enumerate(feeder_assign):
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if feeder != -2:
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continue
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for idx, part in enumerate(assign_part_stack):
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feeder_type = component_data.loc[part]['fdr']
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extra_width, extra_slot = feeder_width[feeder_type][0] + feeder_width[feeder_type][
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1] - slot_interval, 1
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slot_overlap = False
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while extra_width > 0:
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slot_ = slot + head * interval_ratio + extra_slot
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if feeder_base[slot_] != -2 or slot_ > max_slot_index // 2:
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slot_overlap = True
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break
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extra_width -= slot_interval
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extra_slot += 1
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if component_data.loc[part]['nz'] == nozzle_pattern[head] and not slot_overlap:
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feeder_assign[head], feeder_assign_points[head] = assign_part_stack[idx], \
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assign_part_stack_points[idx]
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assign_part_stack.pop(idx)
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assign_part_stack_points.pop(idx)
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break
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# 元件堆栈，然后分配元件堆栈中未分配的其它元件
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for head in head_assign_indexes:
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if feeder_assign[head] != -2 or len(assign_part_stack) == 0:
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continue
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part, points = assign_part_stack[0], assign_part_stack_points[0]
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feeder_type = component_data.loc[part]['fdr']
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extra_width, extra_slot = feeder_width[feeder_type][0] + feeder_width[feeder_type][1] - slot_interval, 1
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slot_overlap = False
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while extra_width > 0:
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slot_ = slot + head * interval_ratio + extra_slot
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if feeder_base[slot_] != -2 or slot_ > max_slot_index // 2:
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slot_overlap = True
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break
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extra_width -= slot_interval
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extra_slot += 1
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if not slot_overlap:
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feeder_assign[head], feeder_assign_points[head] = part, points
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extra_width, extra_head = feeder_width[feeder_type][0] + feeder_width[feeder_type][
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1] - head_interval, 1
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while extra_width > 0 and head + extra_head < max_head_index:
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feeder_assign[head + extra_head] = -1
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extra_head += 1
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extra_width -= head_interval
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else:
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# 返还由于机械限位无法分配的，压入元件堆栈中的元素
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nozzle = component_data.loc[part]['nz']
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tmp_nozzle_component[nozzle].insert(0, part)
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tmp_nozzle_component_points[nozzle].insert(0, points)
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assign_part_stack.pop(0)
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assign_part_stack_points.pop(0)
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# 仍然存在由于机械限位，无法进行分配的在堆栈中的元件
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while assign_part_stack:
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part, points = assign_part_stack[0], assign_part_stack_points[0]
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nozzle = component_data.loc[part]['nz']
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tmp_nozzle_component[nozzle].insert(0, part)
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tmp_nozzle_component_points[nozzle].insert(0, points)
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assign_part_stack.pop(0)
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assign_part_stack_points.pop(0)
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nozzle_change_counter, average_slot = 0, []
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for head, feeder_ in enumerate(feeder_assign):
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if feeder_ < 0:
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continue
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average_slot.append(
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(mount_center_pos[feeder_] - slotf1_pos[0]) / slot_interval + 1 - head * interval_ratio)
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if nozzle_pattern and component_data.loc[feeder_]['nz'] != nozzle_pattern[head]:
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nozzle_change_counter += 1
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if len(average_slot) == 0:
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continue
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average_slot = sum(average_slot) / len(average_slot)
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assign_value = 0
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feeder_assign_points_cpy = feeder_assign_points.copy()
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while True:
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points_filter = list(filter(lambda x: x > 0, feeder_assign_points_cpy))
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if not points_filter:
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break
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assign_value += e_gang_pick * min(points_filter) * (len(points_filter) - 1)
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for head, _ in enumerate(feeder_assign_points_cpy):
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if feeder_assign_points_cpy[head] == 0:
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continue
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feeder_assign_points_cpy[head] -= min(points_filter)
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assign_value -= 1e2 * e_nz_change * nozzle_change_counter + 1e-5 * abs(slot - average_slot)
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if assign_value >= best_assign_value and sum(feeder_assign_points) != 0:
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best_assign_value = assign_value
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best_assign = feeder_assign.copy()
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best_assign_points = feeder_assign_points.copy()
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best_assign_slot = slot
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best_nozzle_component, best_nozzle_component_points = tmp_nozzle_component, tmp_nozzle_component_points
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if not best_assign_points:
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break
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if len(nozzle_pattern) == 0:
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nozzle_pattern = [''] * max_head_index
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for idx, part in enumerate(best_assign):
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if part < 0:
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continue
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# 新安装的供料器
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if feeder_base[best_assign_slot + idx * interval_ratio] != part:
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# 除去分配给最大化同时拾取周期的项，保留结余项
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feeder_base_points[best_assign_slot + idx * interval_ratio] += (
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feeder_division_points[part] - min(filter(lambda x: x > 0, best_assign_points)))
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feeder_points[part] -= feeder_division_points[part]
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feeder_limit[part] -= 1
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feeder_arrange[part] += 1
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if feeder_limit[part] == 0:
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feeder_division_points[part] = 0
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for nozzle, components in nozzle_component.items():
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if part in components:
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index_ = components.index(part)
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nozzle_component[nozzle].pop(index_)
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nozzle_component_points[nozzle].pop(index_)
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break
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feeder_division_points[part] = 0
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else:
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# 已有的供料器
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feeder_base_points[best_assign_slot + idx * interval_ratio] -= min(
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filter(lambda x: x > 0, best_assign_points))
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# 更新供料器基座信息
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feeder_base[best_assign_slot + idx * interval_ratio] = part
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feeder_type, extra_slot = component_data.loc[part]['fdr'], 0
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extra_width = feeder_width[feeder_type][0] + feeder_width[feeder_type][1] - slot_interval
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while extra_width > 0:
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extra_slot += 1
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if feeder_base[best_assign_slot + idx * interval_ratio + extra_slot] == -2:
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feeder_base[best_assign_slot + idx * interval_ratio + extra_slot] = -1 # 标记槽位已占用
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extra_width -= slot_interval
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# 更新吸嘴信息
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nozzle_pattern[idx] = component_data.loc[part]['nz']
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# 更新头分配的先后顺序
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head_assign_indexes = np.array(best_assign_points).argsort().tolist()
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nozzle_component, nozzle_component_points = copy.deepcopy(best_nozzle_component), copy.deepcopy(
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best_nozzle_component_points)
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if sum(best_assign_points) > optimal_nozzle_points:
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optimal_nozzle_points = sum(best_assign_points)
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optimal_nozzle_pattern = nozzle_pattern.copy()
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assert not list(filter(lambda x: x < 0, feeder_limit.values())) # 分配供料器数目在限制范围内
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# 若所有供料器均安装在基座上，重新对基座进行扫描，确定最优吸嘴模式（有序）
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if not optimal_nozzle_points:
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feeder_base, feeder_base_points = [-2] * max_slot_index, [0] * max_slot_index
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for _, feeder in feeder_data.iterrows():
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slot, part = feeder['slot'], feeder['part']
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part_index = component_data[component_data['part'] == part].index.tolist()[0]
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# 供料器基座分配位置和对应贴装点数
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feeder_base[slot], feeder_base_points[slot] = part_index, feeder_division_points[part_index]
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# 前基座 TODO: 后基座
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for slot in range(max_slot_index // 2 - (max_head_index - 1) * interval_ratio):
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sum_scan_points = 0
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for head in range(max_head_index):
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sum_scan_points += feeder_base_points[slot + head * interval_ratio]
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if sum_scan_points > optimal_nozzle_points:
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optimal_nozzle_pattern = ['' for _ in range(max_head_index)]
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for head in range(max_head_index):
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if part := feeder_base[slot + head * interval_ratio] == -2:
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continue
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optimal_nozzle_pattern[head] = part_nozzle[part]
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# 更新供料器占位信息
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for _, data in feeder_data.iterrows():
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feeder_base[data['slot']] = -1
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for slot, feeder in enumerate(feeder_base):
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if feeder < 0:
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continue
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part = component_data.loc[feeder]['part']
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feeder_data.loc[len(feeder_data.index)] = [slot, part, 0]
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if figure:
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# 绘制供料器位置布局
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for slot in range(max_slot_index // 2):
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plt.scatter(slotf1_pos[0] + slot_interval * slot, slotf1_pos[1], marker='x', s=12, color='black', alpha=0.5)
|
|
plt.text(slotf1_pos[0] + slot_interval * slot, slotf1_pos[1] - 45, slot + 1, ha='center', va='bottom',
|
|
size=8)
|
|
|
|
feeder_assign_range = []
|
|
for feeder in feeder_data.iterrows():
|
|
slot, part = feeder[1]['slot'], feeder[1]['part']
|
|
part_index = component_data[component_data['part'] == part].index.tolist()[0]
|
|
feeder_type = component_data.loc[part_index]['fdr']
|
|
width = feeder_width[feeder_type][0] + feeder_width[feeder_type][1]
|
|
start = slotf1_pos[0] + slot_interval * (slot - 1) - slot_interval / 2
|
|
end = slotf1_pos[0] + slot_interval * (slot - 1) - slot_interval / 2 + width
|
|
|
|
rec_x = [start, end, end, start]
|
|
rec_y = [slotf1_pos[1] - 40, slotf1_pos[1] - 40, slotf1_pos[1] + 10, slotf1_pos[1] + 10]
|
|
|
|
c = 'red' if feeder[1]['arg'] == 0 else 'black' # 黑色表示已分配，红色表示新分配
|
|
plt.text(slotf1_pos[0] + slot_interval * (slot - 1), slotf1_pos[1] + 12,
|
|
part + ': ' + str(feeder_points[part_index]), ha='center', size=7, rotation=90, color=c)
|
|
|
|
plt.fill(rec_x, rec_y, facecolor='yellow', alpha=0.4)
|
|
|
|
feeder_assign_range.append([start, end])
|
|
|
|
# 记录重叠区间
|
|
feeder_assign_range.sort(key=lambda x: x[0])
|
|
for i in range(1, len(feeder_assign_range)):
|
|
if feeder_assign_range[i][0] < feeder_assign_range[i - 1][1]:
|
|
start, end = feeder_assign_range[i][0], feeder_assign_range[i - 1][1]
|
|
|
|
rec_x = [start, end, end, start]
|
|
rec_y = [slotf1_pos[1] - 40, slotf1_pos[1] - 40, slotf1_pos[1] + 10, slotf1_pos[1] + 10]
|
|
plt.fill(rec_x, rec_y, facecolor='red')
|
|
|
|
plt.plot([slotf1_pos[0] - slot_interval / 2, slotf1_pos[0] + slot_interval * (max_slot_index // 2 - 1 + 0.5)],
|
|
[slotf1_pos[1] + 10, slotf1_pos[1] + 10], color='black')
|
|
plt.plot([slotf1_pos[0] - slot_interval / 2, slotf1_pos[0] + slot_interval * (max_slot_index // 2 - 1 + 0.5)],
|
|
[slotf1_pos[1] - 40, slotf1_pos[1] - 40], color='black')
|
|
|
|
for counter in range(max_slot_index // 2 + 1):
|
|
pos = slotf1_pos[0] + (counter - 0.5) * slot_interval
|
|
plt.plot([pos, pos], [slotf1_pos[1] + 10, slotf1_pos[1] - 40], color='black', linewidth=1)
|
|
|
|
plt.ylim(-10, 100)
|
|
plt.show()
|
|
|
|
return optimal_nozzle_pattern
|
|
|
|
|
|
@timer_wrapper
|
|
def feeder_base_scan(component_data, pcb_data, feeder_data, nozzle_pattern):
|
|
feeder_assign_check = set()
|
|
for feeder in feeder_data.iterrows():
|
|
feeder_assign_check.add(feeder[1]['part'])
|
|
|
|
component_points = [0] * len(component_data)
|
|
for step in pcb_data.iterrows():
|
|
part = step[1]['part']
|
|
part_index = component_data[component_data['part'] == part].index.tolist()[0]
|
|
|
|
component_points[part_index] += 1
|
|
nozzle_type = component_data.loc[part_index]['nz']
|
|
if nozzle_type not in nozzle_limit.keys() or nozzle_limit[nozzle_type] <= 0:
|
|
info = 'there is no available nozzle [' + nozzle_type + '] for the assembly process'
|
|
raise ValueError(info)
|
|
|
|
assert len(feeder_assign_check) == len(component_points) - component_points.count(0) # 所有供料器均已分配槽位
|
|
feeder_part = [-1] * max_slot_index
|
|
for feeder in feeder_data.iterrows():
|
|
part, slot = feeder[1]['part'], feeder[1]['slot']
|
|
part_index = component_data[component_data['part'] == part].index.tolist()
|
|
if len(part_index) != 1:
|
|
print('unregistered component: ', part, ' in slot', slot)
|
|
continue
|
|
part_index = part_index[0]
|
|
feeder_part[slot] = part_index
|
|
|
|
component_result, cycle_result, feeder_slot_result = [], [], [] # 贴装点索引和拾取槽位优化结果
|
|
|
|
nozzle_mode = [nozzle_pattern] # 吸嘴匹配模式
|
|
with tqdm(total=len(pcb_data)) as pbar:
|
|
pbar.set_description('feeder scan process')
|
|
pbar_prev = 0
|
|
value_increment_base = 0
|
|
while True:
|
|
# === 周期内循环 ===
|
|
assigned_part = [-1 for _ in range(max_head_index)] # 当前扫描到的头分配元件信息
|
|
assigned_cycle = [0 for _ in range(max_head_index)] # 当前扫描到的元件最大分配次数
|
|
assigned_slot = [-1 for _ in range(max_head_index)] # 当前扫描到的供料器分配信息
|
|
|
|
best_assigned_eval_func = -float('inf')
|
|
nozzle_insert_cycle = 0
|
|
for cycle_index, nozzle_cycle in enumerate(nozzle_mode):
|
|
scan_eval_func_list = [] # 若干次扫描得到的最优解
|
|
# nozzle_cycle 吸嘴模式下，已扫描到的最优结果
|
|
cur_scan_part = [-1 for _ in range(max_head_index)]
|
|
cur_scan_cycle = [0 for _ in range(max_head_index)]
|
|
cur_scan_slot = [-1 for _ in range(max_head_index)]
|
|
cur_nozzle_limit = copy.deepcopy(nozzle_limit)
|
|
|
|
while True:
|
|
best_scan_part, best_scan_cycle = [-1 for _ in range(max_head_index)], [-1 for _ in
|
|
range(max_head_index)]
|
|
best_scan_slot = [-1 for _ in range(max_head_index)]
|
|
best_scan_nozzle_limit = copy.deepcopy(cur_nozzle_limit)
|
|
|
|
scan_eval_func, search_break = -float('inf'), True
|
|
|
|
# 前供料器基座扫描
|
|
for slot in range(1, max_slot_index // 2 - (max_head_index - 1) * interval_ratio + 1):
|
|
scan_cycle, scan_part, scan_slot = cur_scan_cycle.copy(), cur_scan_part.copy(), cur_scan_slot.copy()
|
|
scan_nozzle_limit = copy.deepcopy(cur_nozzle_limit)
|
|
|
|
# 预扫描确定各类型元件拾取数目（前瞻）
|
|
preview_scan_part = defaultdict(int)
|
|
for head in range(max_head_index):
|
|
part = feeder_part[slot + head * interval_ratio]
|
|
|
|
# 贴装头和拾取槽位满足对应关系
|
|
if scan_part[head] == -1 and part != -1 and component_points[part] > 0 and scan_part.count(
|
|
part) < component_points[part]:
|
|
preview_scan_part[part] += 1
|
|
|
|
component_counter = 0
|
|
for head in range(max_head_index):
|
|
part = feeder_part[slot + head * interval_ratio]
|
|
# 1.匹配条件满足: 贴装头和拾取槽位满足对应关系
|
|
if scan_part[head] == -1 and part != -1 and component_points[part] > 0 and scan_part.count(
|
|
part) < component_points[part]:
|
|
# 2.匹配条件满足：不超过可用吸嘴数的限制
|
|
nozzle = component_data.loc[part]['nz']
|
|
if scan_nozzle_limit[nozzle] <= 0:
|
|
continue
|
|
|
|
# 3.增量条件满足: 引入新的元件类型不会使代价函数的值减少(前瞻)
|
|
if scan_cycle.count(0) == max_head_index:
|
|
gang_pick_change = component_points[part]
|
|
else:
|
|
prev_cycle = min(filter(lambda x: x > 0, scan_cycle))
|
|
# 同时拾取数的提升
|
|
gang_pick_change = min(prev_cycle, component_points[part] // preview_scan_part[part])
|
|
|
|
# 4.拾取移动距离条件满足: 邻近元件进行同时抓取，降低移动路径长度
|
|
# reference_slot = -1
|
|
# for head_, slot_ in enumerate(scan_slot):
|
|
# if slot_ != -1:
|
|
# reference_slot = slot_ - head_ * interval_ratio
|
|
# if reference_slot != -1 and abs(reference_slot - slot) > (max_head_index - 1) * interval_ratio:
|
|
# continue
|
|
|
|
# 5.同时拾取的增量 和 吸嘴更换次数比较
|
|
prev_nozzle_change = 0
|
|
if cycle_index + 1 < len(nozzle_mode):
|
|
prev_nozzle_change = 2 * (nozzle_cycle[head] != nozzle_mode[cycle_index + 1][head])
|
|
|
|
# 避免首个周期吸杆占用率低的问题
|
|
if nozzle_cycle[head] == '':
|
|
nozzle_change = 0
|
|
else:
|
|
nozzle_change = 2 * (nozzle != nozzle_cycle[head])
|
|
|
|
if cycle_index + 1 < len(nozzle_mode):
|
|
nozzle_change += 2 * (nozzle != nozzle_mode[cycle_index + 1][head])
|
|
nozzle_change -= prev_nozzle_change
|
|
|
|
val = e_gang_pick * gang_pick_change - e_nz_change * nozzle_change
|
|
if val < value_increment_base:
|
|
continue
|
|
|
|
component_counter += 1
|
|
|
|
scan_part[head] = part
|
|
scan_cycle[head] = component_points[part] // preview_scan_part[part]
|
|
scan_slot[head] = slot + head * interval_ratio
|
|
|
|
scan_nozzle_limit[nozzle] -= 1
|
|
|
|
nozzle_counter = 0 # 吸嘴更换次数
|
|
# 上一周期
|
|
for head, nozzle in enumerate(nozzle_cycle):
|
|
if scan_part[head] == -1:
|
|
continue
|
|
if component_data.loc[scan_part[head]]['nz'] != nozzle and nozzle != '':
|
|
nozzle_counter += 2
|
|
|
|
# 下一周期（额外增加的吸嘴更换次数）
|
|
if cycle_index + 1 < len(nozzle_mode):
|
|
for head, nozzle in enumerate(nozzle_mode[cycle_index + 1]):
|
|
if scan_part[head] == -1:
|
|
continue
|
|
prev_counter, new_counter = 0, 0
|
|
if nozzle_cycle[head] != nozzle and nozzle_cycle[head] != '' and nozzle != '':
|
|
prev_counter += 2
|
|
if component_data.loc[scan_part[head]]['nz'] != nozzle and nozzle != '':
|
|
new_counter += 2
|
|
nozzle_counter += new_counter - prev_counter
|
|
else:
|
|
for head, nozzle in enumerate(nozzle_mode[0]):
|
|
if scan_part[head] == -1:
|
|
continue
|
|
prev_counter, new_counter = 0, 0
|
|
if nozzle_cycle[head] != nozzle and nozzle_cycle[head] != '' and nozzle != '':
|
|
prev_counter += 2
|
|
if component_data.loc[scan_part[head]]['nz'] != nozzle and nozzle != '':
|
|
new_counter += 2
|
|
nozzle_counter += new_counter - prev_counter
|
|
|
|
if component_counter == 0: # 当前情形下未扫描到任何元件
|
|
continue
|
|
|
|
search_break = False
|
|
|
|
scan_part_head = defaultdict(list)
|
|
for head, part in enumerate(scan_part):
|
|
if part == -1:
|
|
continue
|
|
scan_part_head[part].append(head)
|
|
|
|
for part, heads in scan_part_head.items():
|
|
part_cycle = component_points[part] // len(heads)
|
|
for head in heads:
|
|
scan_cycle[head] = part_cycle
|
|
|
|
# 计算扫描后的代价函数,记录扫描后的最优解
|
|
# 短期收益
|
|
cycle = min(filter(lambda x: x > 0, scan_cycle))
|
|
gang_pick_counter, gang_pick_slot_set = 0, set()
|
|
for head, pick_slot in enumerate(scan_slot):
|
|
gang_pick_slot_set.add(pick_slot - head * interval_ratio)
|
|
|
|
eval_func_short_term = e_gang_pick * (max_head_index - scan_slot.count(-1) - len(
|
|
gang_pick_slot_set)) * cycle - e_nz_change * nozzle_counter
|
|
|
|
# 长期收益
|
|
gang_pick_slot_dict = defaultdict(list)
|
|
for head, pick_slot in enumerate(scan_slot):
|
|
if pick_slot == -1:
|
|
continue
|
|
gang_pick_slot_dict[pick_slot - head * interval_ratio].append(scan_cycle[head])
|
|
|
|
eval_func_long_term = 0
|
|
for pick_cycle in gang_pick_slot_dict.values():
|
|
while pick_cycle:
|
|
min_cycle = min(pick_cycle)
|
|
eval_func_long_term += e_gang_pick * (len(pick_cycle) - 1) * min(pick_cycle)
|
|
pick_cycle = list(map(lambda c: c - min_cycle, pick_cycle))
|
|
pick_cycle = list(filter(lambda c: c > 0, pick_cycle))
|
|
eval_func_long_term -= e_nz_change * nozzle_counter
|
|
|
|
ratio = 0.5
|
|
eval_func = (1 - ratio) * eval_func_short_term + ratio * eval_func_long_term
|
|
if eval_func >= scan_eval_func:
|
|
scan_eval_func = eval_func
|
|
best_scan_part, best_scan_cycle = scan_part.copy(), scan_cycle.copy()
|
|
best_scan_slot = scan_slot.copy()
|
|
|
|
best_scan_nozzle_limit = copy.deepcopy(scan_nozzle_limit)
|
|
|
|
if search_break:
|
|
break
|
|
|
|
scan_eval_func_list.append(scan_eval_func)
|
|
|
|
cur_scan_part = best_scan_part.copy()
|
|
cur_scan_slot = best_scan_slot.copy()
|
|
cur_scan_cycle = best_scan_cycle.copy()
|
|
|
|
cur_nozzle_limit = copy.deepcopy(best_scan_nozzle_limit)
|
|
|
|
if len(scan_eval_func_list) != 0:
|
|
if sum(scan_eval_func_list) >= best_assigned_eval_func:
|
|
best_assigned_eval_func = sum(scan_eval_func_list)
|
|
|
|
assigned_part = cur_scan_part.copy()
|
|
assigned_slot = cur_scan_slot.copy()
|
|
assigned_cycle = cur_scan_cycle.copy()
|
|
|
|
nozzle_insert_cycle = cycle_index
|
|
|
|
# 从供料器基座中移除对应数量的贴装点
|
|
nonzero_cycle = [cycle for cycle in assigned_cycle if cycle > 0]
|
|
if not nonzero_cycle:
|
|
value_increment_base -= max_head_index
|
|
continue
|
|
|
|
for head, slot in enumerate(assigned_slot):
|
|
if assigned_part[head] == -1:
|
|
continue
|
|
component_points[feeder_part[slot]] -= min(nonzero_cycle)
|
|
|
|
component_result.insert(nozzle_insert_cycle, assigned_part)
|
|
cycle_result.insert(nozzle_insert_cycle, min(nonzero_cycle))
|
|
feeder_slot_result.insert(nozzle_insert_cycle, assigned_slot)
|
|
|
|
# 更新吸嘴匹配模式
|
|
cycle_nozzle = nozzle_mode[nozzle_insert_cycle].copy()
|
|
for head, component in enumerate(assigned_part):
|
|
if component == -1:
|
|
continue
|
|
cycle_nozzle[head] = component_data.loc[component]['nz']
|
|
|
|
nozzle_mode.insert(nozzle_insert_cycle + 1, cycle_nozzle)
|
|
|
|
pbar.update(len(pcb_data) - sum(component_points) - pbar_prev)
|
|
pbar_prev = len(pcb_data) - sum(component_points)
|
|
if sum(component_points) == 0:
|
|
break
|
|
|
|
return component_result, cycle_result, feeder_slot_result
|