1
import random
2

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# 随机词列表
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random_words = [
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    "大象", "图书馆", "时间机器", "深海",
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    "磁场", "彩虹", "蜂巢", "齿轮",
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    "光纤维", "水晶", "基因", "黑洞"
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]
9

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# 强制关联：随机词 + 产品需求
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def brainstorm(product_need, num_ideas=5):
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    ideas = []
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    for _ in range(num_ideas):
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        random_word = random.choice(random_words)
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        # 将随机词与需求强制关联
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        idea = generate_association(product_need, random_word)
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        ideas.append(idea)
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    return ideas
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def generate_association(need, word):
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    # 受随机词激发产生创意
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    return f"结合{word}的{need}解决方案"

1
# 思维导图 Python 实现
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class MindMapNode:
3
    def __init__(self, text, children=None):
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        self.text = text
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        self.children = children or []
6

7
    def add_child(self, node):
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        self.children.append(node)
9

10
    def to_dict(self):
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        return {
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            "name": self.text,
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            "children": [c.to_dict() for c in self.children]
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        }
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# 创建思维导图
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root = MindMapNode("产品创新")
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for branch_name in ["功能", "体验", "技术", "商业模式"]:
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    branch = MindMapNode(branch_name)
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    for sub in range(3):
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        branch.add_child(MindMapNode(f"{branch_name}子主题{sub+1}"))
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    root.add_child(branch)

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# 六顶帽子分析框架
2
hat_analysis = {
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    "blue": [
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        "明确要解决的问题",
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        "定义思考目标"
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    ],
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    "white": [
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        "收集现有数据和信息",
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        "识别信息缺口"
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    ],
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    "red": [
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        "直觉反应是什么？",
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        "有什么情绪？"
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    ],
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    "black": [
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        "批判这个想法的弱点",
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        "哪里行不通？"
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    ],
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    "yellow": [
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        "这个想法的价值是什么？",
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        "最乐观的结果是什么？"
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    ],
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    "green": [
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        "有什么创意方法改进？",
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        "有哪些替代方案？"
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    ]
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}

1
# 40个创新原理（部分）
2
triz_principles = {
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    1: "分割",
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    2: "抽取",
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    3: "局部质量",
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    4: "不对称",
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    5: "组合",
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    6: "多样性",
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    7: "嵌套",
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    8: "配重",
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    9: "预先反作用",
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    10: "预先作用",
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    # ... 共40个原理
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}
15

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# 物理矛盾
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physical_contradictions = {
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    "温度": {"升高": "加速反应", "降低": "减缓变质"},
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    "时间": {"缩短": "提高效率", "延长": "增强效果"},
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    "体积": {"增大": "容量增加", "减小": "便于携带"}
21
}

1
# 技术矛盾解决
2
def resolve_technical_contradiction(
3
    worsening_feature,
4
    improving_feature
5
):
6
    """
7
    根据改善和恶化的技术参数，
8
    查找对应的创新原理
9
    """
10
    contradiction_matrix = {
11
        ("稳定性", "强度"): [1, 35, 10],
12
        ("精度", "复杂性"): [10, 28, 35],
13
        # ... 更多矛盾对
14
    }
15

16
    principles = contradiction_matrix.get(
17
        (worsening_feature, improving_feature),
18
        []
19
    )
20
    return [triz_principles[p] for p in principles]

1
# 随机强制联想训练
2
import random
3

4
concepts_a = ["智能", "连接", "个性化", "自动化"]
5
concepts_b = ["冰箱", "镜子", "椅子", "灯光"]
6

7
def forced_association():
8
    """随机强制联想训练"""
9
    a = random.choice(concepts_a)
10
    b = random.choice(concepts_b)
11
    return f"将{a}与{b}结合的创新产品"
12

13
# 练习：每天10分钟强制联想
14
exercises = [
15
    forced_association() for _ in range(10)
16
]

1
# 形态分析表
2
morphological_box = {
3
    "能源": ["太阳能", "电池", "人力", "风能"],
4
    "材质": ["金属", "塑料", "木材", "纤维"],
5
    "功能": ["测量", "显示", "提醒", "控制"],
6
    "交互": ["触屏", "语音", "手势", "按钮"]
7
}
8

9
def morphological_analysis():
10
    """形态分析所有组合"""
11
    from itertools import product
12

13
    combinations = list(product(
14
        morphological_box["能源"],
15
        morphological_box["材质"],
16
        morphological_box["功能"],
17
        morphological_box["交互"]
18
    ))
19

20
    return [dict(zip(morphological_box.keys(), c)) for c in combinations]