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chenjw28
2026-07-30 10:30:50 +08:00
parent cf6d708566
commit 853c478657
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src/moldinsight/services/cost_estimate_service.py
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"""
moldinsight/services/cost_estimate_service.py — 规则式成本估算
当 LLM 未启用时作为兜底，基于几何参数 + 材料库 + 模具尺寸
计算材料费 / 加工费，完全不依赖 LLM。
"""
from typing import Dict, Any, Optional
# ─── 模具钢材料单价参考（元/kg，含税） ──────────────────────────────
_MOLD_STEEL_PRICE = {
"铝合金7075": 45,
"P20": 25,
"718H": 35,
"NAK80": 55,
"S136": 70,
"H13": 40,
"default": 30,
}
# ─── 加工复杂度系数 ────────────────────────────────────────────────────
_COMPLEXITY_FACTOR = {
"low": 1.0,
"medium": 1.3,
"high": 1.7,
"very_high": 2.2,
}
# 侧向机构附加费用（元/个）
_SIDE_ACTION_COST = {
"slider": 8000, # 滑块
"lifter": 6000, # 斜顶
"mixed": 7000, # 混合
}
# 型腔加工基础费用（元/型腔）
_CAVITY_MACHINING_BASE = 25000
# 模架基础费用（元）
_BASE_MOLD_FRAME = {
"small": 15000, # 长宽 < 250mm
"medium": 25000, # 长宽 250-400mm
"large": 45000, # 长宽 > 400mm
}
def estimate_cost_by_rules(
analysis_result: Dict[str, Any],
detailed_cavity_json: Optional[Dict[str, Any]] = None,
) -> Dict[str, Any]:
"""规则式模具成本估算。
返回结构与 LLM estimate_cost 一致，前端可无缝展示。
"""
ctx = _extract_context(analysis_result, detailed_cavity_json)
# ── 模具材料费 ──────────────────────────────────────────────
mold_weight_kg = _estimate_mold_weight(ctx)
steel_price = _MOLD_STEEL_PRICE.get(ctx["mold_material"], _MOLD_STEEL_PRICE["default"])
material_cost = int(mold_weight_kg * steel_price)
# ── 加工费 ─────────────────────────────────────────────────
cavity_count = ctx["cavity_count"]
complexity_key = ctx["complexity"]
complexity_factor = _COMPLEXITY_FACTOR.get(complexity_key, 1.3)
machining_cost = int(
_CAVITY_MACHINING_BASE * cavity_count * complexity_factor
+ _BASE_MOLD_FRAME[ctx["mold_frame_size"]]
)
# ── 侧向机构附加费 ─────────────────────────────────────────
side_action_extra = 0
side_action_parts = []
slider_count = ctx["slider_count"]
lifter_count = ctx["lifter_count"]
if slider_count > 0:
side_action_extra += slider_count * _SIDE_ACTION_COST["slider"]
side_action_parts.append(f"{slider_count} 个滑块")
if lifter_count > 0:
side_action_extra += lifter_count * _SIDE_ACTION_COST["lifter"]
side_action_parts.append(f"{lifter_count} 个斜顶")
complexity_label = (
f"{complexity_factor:.1f}"
+ (f"（含 {', '.join(side_action_parts)}）" if side_action_parts else "")
)
# ── 合计 ───────────────────────────────────────────────────
mold_subtotal = material_cost + machining_cost + side_action_extra
# ── 单件成本 ───────────────────────────────────────────────
part_weight_g = ctx["part_weight_g"]
cycle_time_s = ctx["cycle_time_s"]
# 材料费：塑料粒 ~30 元/kg 均值
material_price_per_kg = 30
part_material_cost = (part_weight_g / 1000) * material_price_per_kg
# 机时分摊：假设机时费 60 元/h
machine_hourly_rate = 60
part_cycle_cost = (cycle_time_s / 3600) * machine_hourly_rate * (1 / max(cavity_count, 1))
# 人工 + 能耗分摊 ~15%
part_overhead = (part_material_cost + part_cycle_cost) * 0.15
cost_per_part = round(part_material_cost + part_cycle_cost + part_overhead, 2)
return {
"mold_cost": {
"material": f"¥{material_cost:,}（{ctx['mold_material']}，约 {mold_weight_kg:.0f} kg）",
"machining": f"¥{machining_cost:,}（含 CNC/EDM/线切割，{cavity_count} 腔）",
"complexity_factor": complexity_label,
"subtotal": f"¥{mold_subtotal:,}",
},
"part_cost": {
"material": f"¥{part_material_cost:.2f}（{ctx['material_name']}，约 {part_weight_g:.1f} g）",
"cycle_time": f"{cycle_time_s} s",
"cost_per_part": f"¥{cost_per_part:.2f}",
},
"total_mold_cost": f"¥{mold_subtotal:,}",
"cost_per_part": f"¥{cost_per_part:.2f}",
"confidence": 0.55,
"assumptions": [
"假设模具寿命 50 万模次",
f"模具钢：{ctx['mold_material']}（{steel_price} 元/kg）",
f"型腔数：{cavity_count}",
f"机时费：{machine_hourly_rate} 元/h",
"塑料粒均价 30 元/kg",
"人工+能耗分摊 15%",
"规则估算，仅供参考",
],
"source": "rules",
}
def _extract_context(
analysis_result: Dict[str, Any],
detailed_cavity_json: Optional[Dict[str, Any]],
) -> Dict[str, Any]:
"""从分析结果提取成本估算所需上下文"""
geometry = analysis_result.get("geometry_data", {})
bbox = geometry.get("bounding_box", {})
dims = bbox.get("dimensions", [0, 0, 0])
volume_mm3 = geometry.get("volume", 0) or 0
schemes = (detailed_cavity_json or {}).get("candidate_schemes", [])
best = schemes[0] if schemes else {}
cavity_data = best.get("cavity_data", {}) if isinstance(best, dict) else {}
mfg_info = cavity_data.get("manufacturing_info", {})
metadata = cavity_data.get("metadata", {})
# 型腔数
cavity_count = (cavity_data.get("mold_cavities", {}) or {}).get("cavity_count", 1)
# 模具材料
mold_material = mfg_info.get("mold_material", "P20")
# 模具尺寸
mold_size = mfg_info.get("estimated_mold_size", {})
length = mold_size.get("length", 300)
width = mold_size.get("width", 300)
max_dim = max(length, width)
if max_dim < 250:
mold_frame_size = "small"
elif max_dim < 400:
mold_frame_size = "medium"
else:
mold_frame_size = "large"
# 复杂度
side_actions = cavity_data.get("side_actions", {}) or {}
summary = side_actions.get("summary", {})
slider_count = summary.get("total_slider_count", 0) or 0
lifter_count = summary.get("total_lifter_count", 0) or 0
total_mechanism = slider_count + lifter_count
if total_mechanism == 0:
complexity = "low"
elif total_mechanism <= 2:
complexity = "medium"
elif total_mechanism <= 4:
complexity = "high"
else:
complexity = "very_high"
# 产品重量
material_name = metadata.get("selected_material", "ABS")
density = 1.05 # ABS 默认密度
part_weight_g = (volume_mm3 / 1000) * density
# 成型周期
cycle_time_raw = mfg_info.get("estimated_cycle_time", "30")
try:
cycle_time_s = int(str(cycle_time_raw).replace("秒", "").strip())
except (ValueError, TypeError):
cycle_time_s = 30
return {
"dims": dims,
"volume_mm3": volume_mm3,
"cavity_count": cavity_count,
"mold_material": mold_material,
"mold_frame_size": mold_frame_size,
"complexity": complexity,
"slider_count": slider_count,
"lifter_count": lifter_count,
"material_name": material_name,
"part_weight_g": part_weight_g,
"cycle_time_s": cycle_time_s,
}
def _estimate_mold_weight(ctx: Dict[str, Any]) -> float:
"""基于模具尺寸估算重量（kg），假设钢材密度 7.85 g/cm³"""
cavity_count = ctx["cavity_count"]
dims = ctx["dims"]
dim_x = max(dims[0] if len(dims) > 0 else 120, 120)
dim_y = max(dims[1] if len(dims) > 1 else 100, 100)
dim_z = max(dims[2] if len(dims) > 2 else 60, 60)
edge_margin = 50
if cavity_count == 1:
length = dim_x + 2 * edge_margin
width = dim_y + 2 * edge_margin
elif cavity_count == 2:
length = 2 * dim_x + 30 + 2 * edge_margin
width = dim_y + 2 * edge_margin
elif cavity_count == 4:
length = 2 * dim_x + 30 + 2 * edge_margin
width = 2 * dim_y + 30 + 2 * edge_margin
else:
length = 4 * dim_x + 90 + 2 * edge_margin
width = 2 * dim_y + 30 + 2 * edge_margin
height = dim_z + 80 # 含冷却系统
# 体积 mm³ → cm³，再乘钢材密度 7.85 g/cm³，再转 kg
# 模架不是实心钢块，取 40% 填充率
volume_cm3 = (length * width * height) / 1000
weight_kg = volume_cm3 * 7.85 * 0.40 / 1000
return max(weight_kg, 50) # 最小 50 kg
src/moldinsight/services/processing_service.py
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@@ -13,9 +13,6 @@ from sqlalchemy.ext.asyncio import AsyncSession
from moldinsight.core.stp_parser import STPParser
from moldinsight.core.geometry_analyzer import GeometryAnalyzer
from moldinsight.core.mold_generator import MoldCavityGenerator
from moldinsight.core.aluminum_foam_mold import AluminumFoamMoldGenerator
from moldinsight.core.mold_quality_inspector import AluminumFoamMoldQualityInspector
from moldinsight.core.mesh_generator import MeshGenerator
from moldinsight.core.multi_scheme_planner import MultiSchemeMoldPlanner
from moldinsight.core.cad_exporter import CADExporter
@@ -38,9 +35,6 @@ class ProcessingService:
def __init__(self):
self.stp_parser = STPParser()
self.geometry_analyzer = GeometryAnalyzer()
self.mold_generator = MoldCavityGenerator(shrinkage_rate=0.005)
self.aluminum_foam_generator = AluminumFoamMoldGenerator(shrinkage_rate=0.015, draft_angle=3.0)
self.mold_quality_inspector = AluminumFoamMoldQualityInspector()
self.mesh_generator = MeshGenerator(quality="medium")
self.html_generator = HTMLGenerator()
self.storage_service = StorageIntegrationService()