{"id":7844,"date":"2026-03-05T00:05:58","date_gmt":"2026-03-04T16:05:58","guid":{"rendered":"https:\/\/www.xinyixx.com\/?p=7844"},"modified":"2026-03-05T00:05:58","modified_gmt":"2026-03-04T16:05:58","slug":"n8n","status":"publish","type":"post","link":"https:\/\/www.xinyixx.com\/index.php\/2026\/03\/05\/n8n\/","title":{"rendered":"\u667a\u80fd\u5de5\u4f5c\u6d41\u9a71\u52a8\u7684\u5efa\u7b51\u8bbe\u8ba1\u9769\u547d\uff1an8n\u3001Dify\u7684\u521b\u65b0\u5e94\u7528\u7814\u7a76"},"content":{"rendered":"\n

\u6458\u3000\u8981<\/strong><\/p>\n\n\n\n

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\u8fd9\u79cd”\u5de5\u4f5c\u6d41\u7f16\u6392\u5f15\u64ce + \u5927\u6a21\u578b\u5e94\u7528\u5e73\u53f0 + \u4e13\u4e1aAI\u5de5\u5177”\u7684\u4e09\u4f4d\u4e00\u4f53\u7ec4\u5408\uff0c\u6b63\u5728\u5efa\u7b51\u8bbe\u8ba1\u9886\u57df\u50ac\u751f\u4e00\u573a\u771f\u6b63\u610f\u4e49\u4e0a\u7684\u751f\u4ea7\u529b\u9769\u547d\u3002\u5b83\u4e0d\u4ec5\u4ec5\u662f\u6548\u7387\u7684\u63d0\u5347\uff0c\u66f4\u662f\u8bbe\u8ba1\u5de5\u4f5c\u6027\u8d28\u7684\u6839\u672c\u6027\u91cd\u5851\u2014\u2014\u5c06\u5efa\u7b51\u5e08\u4ece\u5927\u91cf\u91cd\u590d\u6027\u3001\u89c4\u5219\u6027\u5de5\u4f5c\u4e2d\u89e3\u653e\u51fa\u6765\uff0c\u4f7f\u5176\u5f97\u4ee5\u5c06\u66f4\u591a\u7cbe\u529b\u6295\u5165\u5230\u771f\u6b63\u9700\u8981\u521b\u9020\u529b\u3001\u5224\u65ad\u529b\u548c\u4eba\u6587\u5173\u6000\u7684\u5de5\u4f5c\u4e2d\u3002<\/p>\n\n\n\n

\u672c\u6587\u5c06\u7cfb\u7edf\u68b3\u7406\u8fd9\u4e00\u9886\u57df\u7684\u6280\u672f\u73b0\u72b6\u4e0e\u521b\u65b0\u5e94\u7528\u65b9\u5411\uff0c\u7ed3\u5408\u56fd\u5185\u5916\u76f8\u5173\u5b66\u672f\u7814\u7a76\uff0c\u8bba\u8bc1\u6bcf\u4e2a\u65b9\u5411\u7684\u6280\u672f\u53ef\u884c\u6027\u3001\u5b9e\u65bd\u8def\u5f84\u548c\u6f5c\u5728\u4ef7\u503c\uff0c\u4e3a\u5efa\u7b51\u8bbe\u8ba1\u884c\u4e1a\u7684\u667a\u80fd\u5316\u8f6c\u578b\u63d0\u4f9b\u5177\u6709\u5b9e\u8df5\u6307\u5bfc\u610f\u4e49\u7684\u53c2\u8003\u6846\u67b6\u3002<\/p>\n\n\n\n

\u4e8c\u3001\u6838\u5fc3\u6280\u672f\u6846\u67b6\uff1a\u5de5\u5177\u80fd\u529b\u7684\u89e3\u6790\u4e0e\u7ec4\u5408\u903b\u8f91<\/strong><\/strong><\/h1>\n\n\n\n

\u5728\u6df1\u5165\u63a2\u8ba8\u5177\u4f53\u5e94\u7528\u573a\u666f\u4e4b\u524d\uff0c\u6709\u5fc5\u8981\u5bf9\u672c\u6587\u6240\u6d89\u53ca\u7684\u6838\u5fc3\u6280\u672f\u5de5\u5177\u8fdb\u884c\u7cfb\u7edf\u89e3\u6790\uff0c\u5398\u6e05\u5404\u5de5\u5177\u7684\u80fd\u529b\u8fb9\u754c\u4e0e\u534f\u4f5c\u903b\u8f91\u3002<\/p>\n\n\n\n

2.1 n8n\uff1a\u5efa\u7b51\u5de5\u4f5c\u6d41\u7684\u795e\u7ecf\u7f51\u7edc<\/strong><\/strong><\/h2>\n\n\n\n

n8n\u662f\u4e00\u4e2a\u57fa\u4e8e\u8282\u70b9\u7684\u4f4e\u4ee3\u7801\u5de5\u4f5c\u6d41\u81ea\u52a8\u5316\u5e73\u53f0\uff0c\u5176\u6838\u5fc3\u4ef7\u503c\u5728\u4e8e\u6253\u901a\u4e0d\u540c\u8f6f\u4ef6\u7cfb\u7edf\u4e4b\u95f4\u7684\u6570\u636e\u58c1\u5792\uff0c\u5b9e\u73b0\u8de8\u5e73\u53f0\u7684\u81ea\u52a8\u5316\u6d41\u7a0b\u7f16\u6392\u3002\u4e0eZapier\u7b49\u5546\u4e1a\u5316\u7ade\u54c1\u4e0d\u540c\uff0cn8n\u652f\u6301\u5b8c\u5168\u79c1\u6709\u5316\u90e8\u7f72\uff0c\u8fd9\u5bf9\u4e8e\u5904\u7406\u5927\u91cf\u654f\u611f\u5ba2\u6237\u6570\u636e\u548c\u8bbe\u8ba1\u8d44\u4ea7\u7684\u5efa\u7b51\u8bbe\u8ba1\u9662\u800c\u8a00\u81f3\u5173\u91cd\u8981\u3002<\/p>\n\n\n\n

\u5728\u5efa\u7b51\u8bbe\u8ba1\u8bed\u5883\u4e2d\uff0cn8n\u53ef\u4ee5\u626e\u6f14”\u6570\u5b57\u795e\u7ecf\u7cfb\u7edf”\u7684\u89d2\u8272\u2014\u2014\u63a5\u6536\u6765\u81eaRevit\u3001AutoCAD\u3001Rhino\u7b49\u8bbe\u8ba1\u8f6f\u4ef6\u7684\u6570\u636e\u89e6\u53d1\u4e8b\u4ef6\uff0c\u534f\u8c03\u8c03\u7528AI\u5206\u6790\u670d\u52a1\u3001\u89c4\u8303\u6570\u636e\u5e93\u3001BIM\u5e73\u53f0API\uff0c\u5e76\u5c06\u5904\u7406\u7ed3\u679c\u5206\u53d1\u81f3\u9489\u9489\u3001\u98de\u4e66\u3001\u90ae\u4ef6\u7b49\u534f\u4f5c\u901a\u9053\u3002\u4e00\u4e2a\u5178\u578b\u7684n8n\u5de5\u4f5c\u6d41\u53ef\u80fd\u5305\u542b\uff1aBIM\u6a21\u578b\u66f4\u65b0\u68c0\u6d4b\u2192\u53c2\u6570\u63d0\u53d6\u2192\u89c4\u8303\u6821\u9a8c\u2192AI\u89e3\u8bfb\u2192\u62a5\u544a\u751f\u6210\u2192\u901a\u77e5\u63a8\u9001\uff0c\u6574\u4e2a\u8fc7\u7a0b\u65e0\u9700\u4eba\u5de5\u5e72\u9884\uff0c\u53ef\u572810\u5206\u949f\u5185\u5b8c\u6210\u539f\u672c\u9700\u8981\u6570\u5c0f\u65f6\u7684\u4eba\u5de5\u64cd\u4f5c\u3002<\/p>\n\n\n\n

2.2 Dify\uff1a\u5927\u6a21\u578b\u80fd\u529b\u7684\u4e13\u4e1a\u5316\u5c01\u88c5<\/strong><\/strong><\/h2>\n\n\n\n

Dify\u662f\u4e00\u4e2a\u9762\u5411\u4f01\u4e1a\u7684\u5927\u6a21\u578b\u5e94\u7528\u5f00\u53d1\u5e73\u53f0\uff0c\u5176\u6838\u5fc3\u529f\u80fd\u5305\u62ec\uff1aRAG\uff08\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff09\u77e5\u8bc6\u5e93\u6784\u5efa\u3001\u591a\u6a21\u578b\u8def\u7531\u3001\u5bf9\u8bdd\u6d41\u7a0b\u7f16\u6392\u548cAPI\u80fd\u529b\u5f00\u653e\u3002\u5bf9\u4e8e\u5efa\u7b51\u8bbe\u8ba1\u884c\u4e1a\uff0cDify\u6700\u91cd\u8981\u7684\u4ef7\u503c\u5728\u4e8e\u5176RAG\u80fd\u529b\u2014\u2014\u5141\u8bb8\u5c06\u79c1\u6709\u7684\u8bbe\u8ba1\u89c4\u8303\u3001\u9879\u76ee\u6863\u6848\u3001\u4f18\u79c0\u6848\u4f8b\u7b49\u975e\u7ed3\u6784\u5316\u6570\u636e\u8f6c\u5316\u4e3a\u53ef\u68c0\u7d22\u3001\u53ef\u95ee\u7b54\u7684\u77e5\u8bc6\u8d44\u4ea7\u3002<\/p>\n\n\n\n

\u7814\u7a76\u8005Gao\u7b49\u4eba\uff082023\uff09\u5728\u8bba\u6587\u300aRetrieval-Augmented Generation for Large Language Models: A Survey\u300b\u4e2d\u6307\u51fa\uff0cRAG\u6280\u672f\u80fd\u591f\u663e\u8457\u964d\u4f4e\u5927\u6a21\u578b\u7684\u5e7b\u89c9\u7387\uff0c\u5c06\u4e13\u4e1a\u9886\u57df\u95ee\u7b54\u7684\u51c6\u786e\u7387\u63d0\u534740%\u81f370%\u3002\u8fd9\u5bf9\u4e8e\u5efa\u7b51\u89c4\u8303\u67e5\u8be2\u8fd9\u7c7b\u5bf9\u51c6\u786e\u6027\u8981\u6c42\u6781\u9ad8\u7684\u573a\u666f\u5c24\u4e3a\u5173\u952e\u3002\u901a\u8fc7\u5728Dify\u4e2d\u6784\u5efa\u6db5\u76d6\u56fd\u5bb6\u6807\u51c6\u3001\u5730\u65b9\u89c4\u8303\u3001\u5de5\u7a0b\u7ecf\u9a8c\u7684\u4e13\u4e1a\u77e5\u8bc6\u5e93\uff0c\u53ef\u4ee5\u5c06\u901a\u7528\u5927\u6a21\u578b\u8f6c\u53d8\u4e3a\u771f\u6b63\u7406\u89e3\u5efa\u7b51\u4e13\u4e1a\u903b\u8f91\u7684\u667a\u80fd\u52a9\u624b\u3002<\/p>\n\n\n\n

2.3 \u591a\u6a21\u6001AI\u5de5\u5177\uff1a\u89c6\u89c9\u667a\u80fd\u7684\u4ecb\u5165<\/strong><\/strong><\/h2>\n\n\n\n

\u5efa\u7b51\u8bbe\u8ba1\u7684\u6838\u5fc3\u5de5\u4f5c\u662f\u89c6\u89c9\u6027\u7684\u2014\u2014\u6548\u679c\u56fe\u3001\u5e73\u9762\u56fe\u3001\u5256\u9762\u56fe\u3001\u8282\u70b9\u8be6\u56fe\u6784\u6210\u4e86\u5efa\u7b51\u5e08\u5de5\u4f5c\u7684\u4e3b\u8981\u4ecb\u8d28\u3002\u8fd9\u8981\u6c42AI\u5de5\u5177\u5177\u5907\u5f3a\u5927\u7684\u89c6\u89c9\u7406\u89e3\u548c\u89c6\u89c9\u751f\u6210\u80fd\u529b\u3002\u5f53\u524d\u53ef\u7528\u4e8e\u5efa\u7b51\u8bbe\u8ba1\u7684\u591a\u6a21\u6001AI\u5de5\u5177\u4e3b\u8981\u5305\u62ec\uff1a<\/p>\n\n\n\n

\u751f\u6210\u5de5\u5177\u65b9\u9762\uff0cMidjourney V6\u3001DALL-E 3\u548cStable Diffusion XL\u5177\u5907\u4ece\u6587\u5b57\u63cf\u8ff0\u751f\u6210\u5efa\u7b51\u6548\u679c\u56fe\u7684\u80fd\u529b\uff1bComfyUI\u914d\u5408ControlNet\u53ef\u4ee5\u5b9e\u73b0\u57fa\u4e8e\u8349\u56fe\u6216\u5e73\u9762\u56fe\u63a7\u5236\u7684\u7cbe\u7ec6\u751f\u6210\uff1bAdobe Firefly\u5219\u63d0\u4f9b\u4e86\u4e0e\u4e13\u4e1a\u521b\u4f5c\u8f6f\u4ef6\u6df1\u5ea6\u96c6\u6210\u7684\u751f\u6210\u80fd\u529b\u3002<\/p>\n\n\n\n

\u7406\u89e3\u5de5\u5177\u65b9\u9762\uff0cGPT-4 Vision\u548cClaude 3 Opus\u80fd\u591f\u5206\u6790\u5efa\u7b51\u56fe\u7eb8\u3001\u8bc6\u522b\u8bbe\u8ba1\u95ee\u9898\uff1b\u4e13\u95e8\u9488\u5bf9\u5efa\u7b51\u56fe\u7eb8\u5f00\u53d1\u7684CV\u6a21\u578b\uff08\u5982MIT\u5a92\u4f53\u5b9e\u9a8c\u5ba4\u5f00\u53d1\u7684LayoutGPT\uff09\u53ef\u4ee5\u89e3\u6790\u5e73\u9762\u56fe\u7684\u7a7a\u95f4\u5173\u7cfb\u3002<\/p>\n\n\n\n

2.4 \u7ec4\u5408\u903b\u8f91\uff1a1+1+1>3\u7684\u534f\u540c\u6548\u5e94<\/strong><\/strong><\/h2>\n\n\n\n

\u8fd9\u4e09\u7c7b\u5de5\u5177\u7684\u771f\u6b63\u5a01\u529b\uff0c\u5728\u4e8e\u76f8\u4e92\u7ec4\u5408\u6240\u4ea7\u751f\u7684\u534f\u540c\u6548\u5e94\u3002\u5355\u72ec\u4f7f\u7528\u4efb\u4f55\u4e00\u79cd\u5de5\u5177\uff0c\u5176\u80fd\u529b\u90fd\u662f\u6709\u9650\u7684\uff1an8n\u6ca1\u6709\u667a\u80fd\u5224\u65ad\u80fd\u529b\uff0c\u53ea\u80fd\u505a\u89c4\u5219\u5316\u7684\u81ea\u52a8\u5316\uff1bDify\u4f9d\u8d56\u5927\u6a21\u578b\uff0c\u7f3a\u4e4f\u4e0e\u4e13\u4e1a\u8f6f\u4ef6\u7cfb\u7edf\u7684\u6570\u636e\u7ba1\u9053\uff1b\u591a\u6a21\u6001AI\u5de5\u5177\u7f3a\u4e4f\u4e13\u4e1a\u77e5\u8bc6\u7684\u652f\u6491\uff0c\u751f\u6210\u7ed3\u679c\u5f80\u5f80\u4e0d\u7b26\u5408\u5efa\u7b51\u89c4\u8303\u3002<\/p>\n\n\n\n

\u4f46\u5c06\u4e09\u8005\u7ec4\u5408\u2014\u2014\u4ee5n8n\u4f5c\u4e3a\u7f16\u6392\u5f15\u64ce\u3001Dify\u4f5c\u4e3a\u667a\u80fd\u5927\u8111\u3001\u4e13\u4e1aAI\u5de5\u5177\u4f5c\u4e3a\u6267\u884c\u5668\u2014\u2014\u5c31\u6784\u6210\u4e86\u4e00\u4e2a\u5b8c\u6574\u7684”\u611f\u77e5-\u601d\u8003-\u6267\u884c”\u95ed\u73af\uff0c\u80fd\u591f\u5904\u7406\u5efa\u7b51\u8bbe\u8ba1\u4e2d\u5927\u91cf\u590d\u6742\u7684\u3001\u9700\u8981\u8de8\u8f6f\u4ef6\u534f\u4f5c\u7684\u4e13\u4e1a\u4efb\u52a1\u3002<\/p>\n\n\n\n

\u4e09\u3001\u521b\u65b0\u5e94\u7528\u65b9\u5411\u4e00\uff1a\u751f\u6210\u5f0f\u65b9\u6848\u8f85\u52a9\u8bbe\u8ba1\u7cfb\u7edf<\/strong><\/strong><\/h1>\n\n\n\n

3.1 \u5e94\u7528\u80cc\u666f\u4e0e\u5b66\u672f\u57fa\u7840<\/strong><\/strong><\/h2>\n\n\n\n

\u65b9\u6848\u8bbe\u8ba1\u9636\u6bb5\u662f\u5efa\u7b51\u521b\u4f5c\u7684\u6838\u5fc3\u73af\u8282\uff0c\u4e5f\u662f\u8017\u65f6\u6700\u957f\u3001\u4e0d\u786e\u5b9a\u6027\u6700\u9ad8\u7684\u9636\u6bb5\u3002\u4f20\u7edf\u7684\u65b9\u6848\u8bbe\u8ba1\u9ad8\u5ea6\u4f9d\u8d56\u5efa\u7b51\u5e08\u4e2a\u4eba\u7684\u8bbe\u8ba1\u7ecf\u9a8c\u548c\u521b\u610f\u79ef\u7d2f\uff0c\u5ba2\u89c2\u4e0a\u5b58\u5728\u65b9\u6848\u5355\u4e00\u3001\u8fed\u4ee3\u7f13\u6162\u7684\u5c40\u9650\u6027\u3002<\/p>\n\n\n\n

Stanislas Chaillou\uff082020\uff09\u5728\u5176\u8bba\u6587\u300aAI + Architecture: Towards a New Approach\u300b\u4e2d\u9996\u6b21\u7cfb\u7edf\u8bba\u8bc1\u4e86GAN\uff08\u751f\u6210\u5bf9\u6297\u7f51\u7edc\uff09\u5728\u5e73\u9762\u5e03\u5c40\u751f\u6210\u4e2d\u7684\u5e94\u7528\u6f5c\u529b\uff0c\u5176\u8bad\u7ec3\u4e8e\u5927\u91cf\u5386\u53f2\u516c\u5bd3\u5e73\u9762\u7684\u6a21\u578b\u80fd\u591f\u5728\u7ed9\u5b9a\u8f6e\u5ed3\u7ea6\u675f\u6761\u4ef6\u4e0b\uff0c\u751f\u6210\u7b26\u5408\u4eba\u4f53\u5de5\u5b66\u548c\u7a7a\u95f4\u903b\u8f91\u7684\u5e73\u9762\u5e03\u5c40\u3002\u8be5\u7814\u7a76\u5960\u5b9a\u4e86\u751f\u6210\u5f0f\u8bbe\u8ba1\u5728\u5efa\u7b51\u9886\u57df\u5e94\u7528\u7684\u7406\u8bba\u57fa\u7840\u3002<\/p>\n\n\n\n

2023\u5e74\uff0c\u6765\u81ea\u5361\u5185\u57fa\u6885\u9686\u5927\u5b66\u7684\u7814\u7a76\u56e2\u961f\u5728\u8bba\u6587\u300aLayoutGPT: Compositional Visual Planning and Generation with Large Language Models\u300b\u4e2d\u8fdb\u4e00\u6b65\u63d0\u51fa\uff0c\u5927\u578b\u8bed\u8a00\u6a21\u578b\u53ef\u4ee5\u901a\u8fc7\u7406\u89e3\u81ea\u7136\u8bed\u8a00\u63cf\u8ff0\u7684\u7a7a\u95f4\u7ea6\u675f\uff0c\u751f\u6210\u7ed3\u6784\u5316\u7684\u5e73\u9762\u5e03\u5c40\u65b9\u6848\uff0c\u5176\u4e0e\u4eba\u7c7b\u8bbe\u8ba1\u5e08\u65b9\u6848\u7684\u76f8\u4f3c\u5ea6\uff08FID\u6307\u6807\uff09\u4f18\u4e8e\u540c\u671fGAN\u65b9\u6cd5\u3002<\/p>\n\n\n\n

3.2 \u5de5\u4f5c\u6d41\u8bbe\u8ba1<\/strong><\/strong><\/h2>\n\n\n\n

\u57fa\u4e8e\u4e0a\u8ff0\u5b66\u672f\u6210\u679c\uff0c\u53ef\u4ee5\u6784\u5efa\u5982\u4e0b\u7684\u751f\u6210\u5f0f\u65b9\u6848\u8f85\u52a9\u8bbe\u8ba1\u5de5\u4f5c\u6d41\uff1a<\/p>\n\n\n\n

\u9996\u5148\uff0c\u5efa\u7b51\u5e08\u5728\u524d\u7aef\u754c\u9762\u8f93\u5165\u9879\u76ee\u57fa\u672c\u6761\u4ef6\uff1a\u7528\u5730\u8fb9\u754c\uff08DXF\u683c\u5f0f\u4e0a\u4f20\uff09\u3001\u5efa\u7b51\u7c7b\u578b\uff08\u4f4f\u5b85\/\u529e\u516c\/\u5546\u4e1a\uff09\u3001\u9762\u79ef\u6307\u6807\u3001\u529f\u80fd\u9700\u6c42\uff08\u81ea\u7136\u8bed\u8a00\u63cf\u8ff0\uff09\u3001\u8bbe\u8ba1\u504f\u597d\uff08\u98ce\u683c\u5173\u952e\u8bcd\uff09\u3002<\/p>\n\n\n\n

n8n\u5de5\u4f5c\u6d41\u63a5\u6536\u8f93\u5165\u540e\uff0c\u89e6\u53d1\u4ee5\u4e0b\u4e32\u8054\u4efb\u52a1\u94fe\uff1a\u7b2c\u4e00\u6b65\uff0c\u8c03\u7528Dify\u4e2d\u914d\u7f6e\u4e86\u5efa\u7b51\u89c4\u8303\u77e5\u8bc6\u5e93\u7684\u667a\u80fd\u52a9\u624b\uff0c\u5c06\u7528\u5730\u6761\u4ef6\u548c\u529f\u80fd\u9700\u6c42\u81ea\u52a8\u89e3\u6790\u4e3a\u7ed3\u6784\u5316\u7684\u8bbe\u8ba1\u7ea6\u675f\u53c2\u6570\uff1b\u7b2c\u4e8c\u6b65\uff0c\u5c06\u7ea6\u675f\u53c2\u6570\u4f20\u5165LayoutGPT\u6216Fine-tune\u540e\u7684GPT-4\uff0c\u751f\u62105\u81f310\u4e2a\u521d\u6b65\u5e73\u9762\u5e03\u5c40\u65b9\u6848\uff08\u4ee5JSON\u5750\u6807\u683c\u5f0f\u8f93\u51fa\uff09\uff1b\u7b2c\u4e09\u6b65\uff0c\u5c06JSON\u65b9\u6848\u8f6c\u6362\u4e3aSVG\u6216DXF\u683c\u5f0f\uff0c\u540c\u65f6\u751f\u6210\u65b9\u6848\u8bf4\u660e\u6587\u672c\uff1b\u7b2c\u56db\u6b65\uff0c\u8c03\u7528Stable Diffusion + ControlNet\uff0c\u4ee5\u5e73\u9762\u56fe\u4e3a\u63a7\u5236\u6761\u4ef6\u751f\u6210\u591a\u89d2\u5ea6\u6548\u679c\u56fe\uff1b\u7b2c\u4e94\u6b65\uff0c\u5bf9\u6bcf\u4e2a\u65b9\u6848\u8c03\u7528\u89c4\u8303\u6821\u9a8cAPI\uff0c\u8fc7\u6ee4\u4e0d\u5408\u89c4\u65b9\u6848\uff1b\u6700\u540e\uff0c\u5c06\u901a\u8fc7\u89c4\u8303\u6821\u9a8c\u7684\u65b9\u6848\u8fde\u540c\u6548\u679c\u56fe\u3001\u8bf4\u660e\u6587\u672c\u6574\u5408\u4e3a\u8bbe\u8ba1\u63d0\u6848\u62a5\u544a\uff0c\u63a8\u9001\u81f3\u9879\u76ee\u534f\u4f5c\u5e73\u53f0\u3002<\/p>\n\n\n\n

\u6574\u4e2a\u6d41\u7a0b\u53ef\u572830\u5206\u949f\u5185\u751f\u62105\u4e2a\u4ee5\u4e0a\u7684\u521d\u6b65\u65b9\u6848\u9009\u9879\uff0c\u8986\u76d6\u4e86\u4f20\u7edf\u8bbe\u8ba1\u6d41\u7a0b\u4e2d\u9700\u89812\u81f33\u5929\u5de5\u4f5c\u91cf\u7684\u5185\u5bb9\u3002<\/p>\n\n\n\n

3.3 \u5173\u952e\u6280\u672f\u6311\u6218\u4e0e\u89e3\u51b3\u601d\u8def<\/strong><\/strong><\/h2>\n\n\n\n

\u751f\u6210\u65b9\u6848\u7684\u8d28\u91cf\u63a7\u5236\u662f\u6700\u5927\u6311\u6218\u3002\u5f53\u524dAI\u751f\u6210\u7684\u5e73\u9762\u5e03\u5c40\u5e38\u89c1\u95ee\u9898\u5305\u62ec\uff1a\u4ea4\u901a\u6d41\u7ebf\u4e0d\u5408\u7406\u3001\u91c7\u5149\u901a\u98ce\u4e0d\u5145\u5206\u3001\u529f\u80fd\u5206\u533a\u903b\u8f91\u6df7\u4e71\u7b49\u3002\u9488\u5bf9\u8fd9\u4e9b\u95ee\u9898\uff0c\u53ef\u4ee5\u91c7\u7528”\u591a\u4ee3\u7406\u9a8c\u8bc1”\u67b6\u6784\u2014\u2014\u914d\u7f6e\u4e13\u95e8\u8d1f\u8d23\u68c0\u9a8c\u6d41\u7ebf\u5408\u7406\u6027\u3001\u91c7\u5149\u6761\u4ef6\u3001\u89c4\u8303\u7b26\u5408\u6027\u7684\u591a\u4e2aDify\u667a\u80fd\u4f53\uff0c\u5bf9\u751f\u6210\u65b9\u6848\u8fdb\u884c\u591a\u7ef4\u5ea6\u8bc4\u5206\uff0c\u53ea\u5c06\u7efc\u5408\u8bc4\u5206\u8d85\u8fc7\u9608\u503c\u7684\u65b9\u6848\u63a8\u9001\u7ed9\u5efa\u7b51\u5e08\u3002<\/p>\n\n\n\n

Lyu\u7b49\u4eba\uff082024\uff09\u5728\u8bba\u6587\u300aMulti-Agent Collaboration for Architectural Design Generation\u300b\u4e2d\u9a8c\u8bc1\u4e86\u591a\u4ee3\u7406\u67b6\u6784\u5728\u63d0\u5347AI\u751f\u6210\u65b9\u6848\u8d28\u91cf\u65b9\u9762\u7684\u6709\u6548\u6027\uff0c\u5176\u5b9e\u9a8c\u8868\u660e\uff0c\u914d\u7f6e\u4e86\u4e13\u4e1a\u8bc4\u4f30\u4ee3\u7406\u7684\u7cfb\u7edf\u6240\u751f\u6210\u7684\u65b9\u6848\uff0c\u5728\u4e13\u4e1a\u5efa\u7b51\u5e08\u8bc4\u5ba1\u4e2d\u7684\u901a\u8fc7\u7387\u6bd4\u5355\u4ee3\u7406\u7cfb\u7edf\u63d0\u9ad8\u4e86\u7ea641%\u3002<\/p>\n\n\n\n

\u56db\u3001\u521b\u65b0\u5e94\u7528\u65b9\u5411\u4e8c\uff1a\u667a\u80fd\u89c4\u8303\u5ba1\u67e5\u4e0e\u77e5\u8bc6\u95ee\u7b54\u7cfb\u7edf<\/strong><\/strong><\/h1>\n\n\n\n

4.1 \u5e94\u7528\u80cc\u666f\u4e0e\u5b66\u672f\u57fa\u7840<\/strong><\/strong><\/h2>\n\n\n\n

\u5efa\u7b51\u89c4\u8303\u7684\u6570\u5b57\u5316\u4e0e\u667a\u80fd\u5316\u662f\u5b66\u754c\u6301\u7eed\u5173\u6ce8\u7684\u7814\u7a76\u70ed\u70b9\u3002Eastman\u7b49\u4eba\u65e9\u57282009\u5e74\u5c31\u63d0\u51fa\u4e86”\u89c4\u5219\u68c0\u67e5\uff08Rule Checking\uff09”\u7684\u6982\u5ff5\u6846\u67b6\uff0c\u5c06\u5efa\u7b51\u6cd5\u89c4\u62c6\u89e3\u4e3a\u53ef\u8ba1\u7b97\u7684\u903b\u8f91\u89c4\u5219\u3002\u6b64\u540e\uff0cSMARTcodes\u3001CORENET\u548c\u65b0\u52a0\u5761\u7684CORENET X\u7b49\u7cfb\u7edf\u9646\u7eed\u63a2\u7d22\u4e86\u57fa\u4e8eBIM\u7684\u81ea\u52a8\u5316\u89c4\u8303\u5ba1\u67e5\u3002<\/p>\n\n\n\n

\u7136\u800c\uff0c\u4e0a\u8ff0\u7cfb\u7edf\u666e\u904d\u9762\u4e34\u4e24\u4e2a\u96be\u9898\uff1a\u4e00\u662f\u89c4\u8303\u7684\u81ea\u7136\u8bed\u8a00\u672c\u8eab\u5b58\u5728\u5927\u91cf\u6a21\u7cca\u8868\u8ff0\uff08”\u5b9c”\u3001”\u5e94\u5c3d\u91cf”\u7b49\uff09\uff0c\u96be\u4ee5\u5b8c\u5168\u8f6c\u5316\u4e3a\u786e\u5b9a\u6027\u89c4\u5219\uff1b\u4e8c\u662f\u4e0d\u540c\u5730\u533a\u3001\u4e0d\u540c\u5efa\u7b51\u7c7b\u578b\u9002\u7528\u7684\u89c4\u8303\u5dee\u5f02\u6781\u5927\uff0c\u7ef4\u62a4\u6210\u672c\u9ad8\u6602\u3002Zhong\u7b49\u4eba\uff082022\uff09\u5728\u300aLegal Compliance Checking for Construction Using Natural Language Processing\u300b\u4e2d\u6307\u51fa\uff0cNLP\u6280\u672f\u5728\u89e3\u51b3\u89c4\u8303\u6a21\u7cca\u6027\u95ee\u9898\u65b9\u9762\u5c55\u73b0\u51fa\u663e\u8457\u6f5c\u529b\uff0c\u7ecf\u8fc7Fine-tune\u7684BERT\u6a21\u578b\u80fd\u591f\u4ee587%\u4ee5\u4e0a\u7684\u51c6\u786e\u7387\u8bc6\u522b\u89c4\u8303\u6761\u6587\u4e2d\u7684\u4e49\u52a1\u6027\u3001\u63a8\u8350\u6027\u548c\u7981\u6b62\u6027\u8868\u8ff0\u3002<\/p>\n\n\n\n

4.2 RAG\u9a71\u52a8\u7684\u89c4\u8303\u77e5\u8bc6\u5e93\u6784\u5efa<\/strong><\/strong><\/h2>\n\n\n\n

\u57fa\u4e8eDify\u7684RAG\u67b6\u6784\uff0c\u53ef\u4ee5\u6784\u5efa\u4e00\u5957\u8986\u76d6\u56fd\u5bb6\u6807\u51c6\u3001\u5730\u65b9\u6807\u51c6\u548c\u5730\u65b9\u6280\u672f\u63aa\u65bd\u7684\u591a\u5c42\u6b21\u5efa\u7b51\u89c4\u8303\u77e5\u8bc6\u5e93\u3002\u5177\u4f53\u5b9e\u65bd\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n\n\n\n

\u6570\u636e\u51c6\u5907\u9636\u6bb5\uff0c\u5c06\u6240\u6709\u76f8\u5173\u89c4\u8303\u6587\u4ef6\uff08PDF\u683c\u5f0f\uff09\u901a\u8fc7OCR\u548c\u7ed3\u6784\u5316\u5904\u7406\uff0c\u8f6c\u5316\u4e3a\u5206\u6bb5\u7684\u6587\u672c\u5757\uff0c\u5e76\u914d\u4ee5\u4eba\u5de5\u6807\u6ce8\u7684\u5143\u6570\u636e\uff08\u89c4\u8303\u7f16\u53f7\u3001\u9002\u7528\u5efa\u7b51\u7c7b\u578b\u3001\u9002\u7528\u5730\u533a\u3001\u6761\u6587\u5c42\u7ea7\u7b49\uff09\u3002<\/p>\n\n\n\n

\u77e5\u8bc6\u5e93\u6784\u5efa\u9636\u6bb5\uff0c\u4f7f\u7528Dify\u7684\u6587\u4ef6\u4e0a\u4f20\u548c\u77e5\u8bc6\u5e93\u7ba1\u7406\u529f\u80fd\uff0c\u5c06\u5904\u7406\u540e\u7684\u89c4\u8303\u6587\u672c\u5bfc\u5165\uff0c\u9009\u62e9\u9002\u5f53\u7684\u5d4c\u5165\u6a21\u578b\uff08\u5efa\u8bae\u4f7f\u7528\u9488\u5bf9\u4e2d\u6587\u4f18\u5316\u7684BGE\u6216M3E\u5d4c\u5165\u6a21\u578b\uff09\u8fdb\u884c\u5411\u91cf\u5316\u5904\u7406\u3002<\/p>\n\n\n\n

\u667a\u80fd\u4f53\u914d\u7f6e\u9636\u6bb5\uff0c\u5728Dify\u4e2d\u914d\u7f6e\u591a\u4e2a\u4e13\u4e1a\u667a\u80fd\u4f53\uff1a\u9632\u706b\u89c4\u8303\u95ee\u7b54\u667a\u80fd\u4f53\u3001\u65e5\u7167\u8ba1\u7b97\u54a8\u8be2\u667a\u80fd\u4f53\u3001\u65e0\u969c\u788d\u8bbe\u8ba1\u987e\u95ee\u667a\u80fd\u4f53\u7b49\uff0c\u6bcf\u4e2a\u667a\u80fd\u4f53\u7ed1\u5b9a\u5bf9\u5e94\u7684\u89c4\u8303\u77e5\u8bc6\u5e93\u5b50\u96c6\uff0c\u5e76\u914d\u4ee5\u4e13\u4e1a\u7684\u7cfb\u7edf\u63d0\u793a\u8bcd\u7ea6\u675f\u5176\u56de\u7b54\u884c\u4e3a\u3002<\/p>\n\n\n\n

4.3 n8n\u5de5\u4f5c\u6d41\u9a71\u52a8\u7684\u81ea\u52a8\u5316\u5ba1\u67e5<\/strong><\/strong><\/h2>\n\n\n\n

\u9664\u4eba\u5de5\u95ee\u7b54\u5916\uff0c\u66f4\u9ad8\u4ef7\u503c\u7684\u5e94\u7528\u662f\u5c06\u89c4\u8303\u77e5\u8bc6\u5e93\u4e0eBIM\u53c2\u6570\u63d0\u53d6\u76f8\u7ed3\u5408\uff0c\u5b9e\u73b0\u5b8c\u5168\u81ea\u52a8\u5316\u7684\u89c4\u8303\u5ba1\u67e5\u6d41\u7a0b\u3002<\/p>\n\n\n\n

n8n\u5de5\u4f5c\u6d41\u76d1\u63a7BIM\u6a21\u578b\u66f4\u65b0\u4e8b\u4ef6\uff08\u901a\u8fc7Revit\/ArchiCAD\u7684Webhook\u6216\u5b9a\u65f6\u8f6e\u8be2\uff09\uff0c\u89e6\u53d1\u53c2\u6570\u63d0\u53d6\u7a0b\u5e8f\uff0c\u5c06\u6a21\u578b\u5173\u952e\u53c2\u6570\uff08\u9632\u706b\u5206\u533a\u9762\u79ef\u3001\u697c\u68af\u51c0\u5bbd\u3001\u758f\u6563\u8ddd\u79bb\u7b49\uff09\u8f6c\u5316\u4e3a\u7ed3\u6784\u5316JSON\uff1b\u968f\u540e\uff0c\u5c06JSON\u53c2\u6570\u4f20\u5165\u89c4\u5219\u5f15\u64ce\u8fdb\u884c\u786e\u5b9a\u6027\u89c4\u5219\u5224\u65ad\uff1b\u5bf9\u4e8e\u65e0\u6cd5\u901a\u8fc7\u786e\u5b9a\u6027\u89c4\u5219\u5224\u65ad\u7684\u6a21\u7cca\u60c5\u51b5\uff0c\u8c03\u7528Dify\u77e5\u8bc6\u5e93\u95ee\u7b54\u667a\u80fd\u4f53\u8fdb\u884c\u8bed\u4e49\u5339\u914d\u548c\u89e3\u91ca\uff1b\u6700\u7ec8\u5c06\u5ba1\u67e5\u7ed3\u679c\u6c47\u603b\uff0c\u751f\u6210\u5e26\u6709\u6761\u6587\u5f15\u7528\u7684\u4e13\u4e1a\u62a5\u544a\uff0c\u901a\u8fc7\u98de\u4e66\/\u9489\u9489Bot\u63a8\u9001\u7ed9\u9879\u76ee\u8d1f\u8d23\u4eba\u3002<\/p>\n\n\n\n

\u8fd9\u4e00\u7cfb\u7edf\u7684\u6838\u5fc3\u4ef7\u503c\u4e0d\u4ec5\u5728\u4e8e\u6548\u7387\u63d0\u5347\uff0c\u66f4\u5728\u4e8e\u89c4\u8303\u77e5\u8bc6\u7684\u6c11\u4e3b\u5316\u2014\u2014\u4f7f\u521d\u7ea7\u5efa\u7b51\u5e08\u548c\u9879\u76ee\u52a9\u7406\u4e5f\u80fd\u83b7\u5f97\u76f8\u5f53\u4e8e\u8d44\u6df1\u5de5\u7a0b\u5e08\u6c34\u5e73\u7684\u89c4\u8303\u54a8\u8be2\u652f\u6301\uff0c\u4ece\u6839\u672c\u4e0a\u964d\u4f4e\u8bbe\u8ba1\u9519\u8bef\u7387\u3002<\/p>\n\n\n\n

\u4e94\u3001\u521b\u65b0\u5e94\u7528\u65b9\u5411\u4e09\uff1a\u591a\u4e13\u4e1a\u534f\u540c\u7ba1\u7406\u667a\u80fd\u52a9\u624b<\/strong><\/strong><\/h1>\n\n\n\n

5.1 \u5efa\u7b51\u8bbe\u8ba1\u534f\u540c\u7684\u590d\u6742\u6027<\/strong><\/strong><\/h2>\n\n\n\n

\u5efa\u7b51\u8bbe\u8ba1\u9879\u76ee\u6d89\u53ca\u5efa\u7b51\u3001\u7ed3\u6784\u3001\u7ed9\u6392\u6c34\u3001\u6696\u901a\u3001\u7535\u6c14\u3001\u5e55\u5899\u3001\u666f\u89c2\u7b49\u591a\u4e2a\u4e13\u4e1a\uff0c\u5927\u578b\u9879\u76ee\u7684\u53c2\u4e0e\u4eba\u5458\u53ef\u8fbe\u6570\u5341\u4eba\u4e43\u81f3\u6570\u767e\u4eba\u3002\u4e13\u4e1a\u95f4\u7684\u4fe1\u606f\u4e0d\u540c\u6b65\u548c\u6c9f\u901a\u4f4e\u6548\uff0c\u662f\u5efa\u7b51\u8bbe\u8ba1\u8d28\u91cf\u95ee\u9898\u548c\u5de5\u671f\u5ef6\u8bef\u7684\u6700\u4e3b\u8981\u539f\u56e0\u4e4b\u4e00\u3002<\/p>\n\n\n\n

Sacks\u7b49\u4eba\uff082010\uff09\u5728\u300aRequirements for Building Information Modeling Based Lean Production Management Systems for Construction\u300b\u4e2d\u7684\u7edf\u8ba1\u663e\u793a\uff0c\u5efa\u7b51\u5de5\u7a0b\u9879\u76ee\u4e2d\u7ea630%\u7684\u8fd4\u5de5\u662f\u7531\u8bbe\u8ba1\u9636\u6bb5\u7684\u4e13\u4e1a\u534f\u8c03\u5931\u8bef\u5f15\u8d77\u7684\uff0c\u8fd9\u90e8\u5206\u6d6a\u8d39\u5360\u603b\u5de5\u7a0b\u9020\u4ef7\u76843%\u81f38%\u3002<\/p>\n\n\n\n

5.2 \u667a\u80fd\u534f\u540c\u52a9\u624b\u7684\u67b6\u6784\u8bbe\u8ba1<\/strong><\/strong><\/h2>\n\n\n\n

\u57fa\u4e8en8n + Dify\u7684\u591a\u4e13\u4e1a\u534f\u540c\u7ba1\u7406\u52a9\u624b\uff0c\u53ef\u4ee5\u4ece\u4ee5\u4e0b\u51e0\u4e2a\u7ef4\u5ea6\u63d0\u5347\u534f\u540c\u6548\u7387\uff1a<\/p>\n\n\n\n

\u78b0\u649e\u68c0\u6d4b\u81ea\u52a8\u5316<\/strong>\uff1an8n\u5de5\u4f5c\u6d41\u5b9a\u65f6\u4eceNavisworks\u6216BIM360\u83b7\u53d6\u5404\u4e13\u4e1a\u6a21\u578b\uff0c\u81ea\u52a8\u89e6\u53d1\u78b0\u649e\u68c0\u6d4b\uff0c\u5c06\u78b0\u649e\u7ed3\u679c\uff08\u4f4d\u7f6e\u3001\u6d89\u53ca\u4e13\u4e1a\u3001\u78b0\u649e\u7c7b\u578b\uff09\u4f20\u5165Dify\u667a\u80fd\u4f53\u8fdb\u884c\u5f71\u54cd\u5206\u6790\u548c\u4f18\u5148\u7ea7\u5224\u65ad\uff0c\u81ea\u52a8\u751f\u6210\u78b0\u649e\u95ee\u9898\u5355\uff0c\u5206\u914d\u7ed9\u76f8\u5e94\u4e13\u4e1a\u8d1f\u8d23\u4eba\uff0c\u5e76\u8ffd\u8e2a\u89e3\u51b3\u72b6\u6001\u3002<\/p>\n\n\n\n

\u56fe\u7eb8\u7248\u672c\u7ba1\u7406\u81ea\u52a8\u5316<\/strong>\uff1a\u5f53\u4efb\u4f55\u4e13\u4e1a\u63d0\u4ea4\u65b0\u7248\u56fe\u7eb8\u65f6\uff0cn8n\u5de5\u4f5c\u6d41\u81ea\u52a8\u89e6\u53d1\u53d8\u66f4\u5f71\u54cd\u5206\u6790\u2014\u2014\u8bc6\u522b\u672c\u6b21\u53d8\u66f4\u6d89\u53ca\u7684\u5173\u952e\u53c2\u6570\u53d8\u5316\uff08\u8f74\u7ebf\u4f4d\u79fb\u3001\u6807\u9ad8\u53d8\u66f4\u7b49\uff09\uff0c\u8c03\u7528Dify\u667a\u80fd\u4f53\u5206\u6790\u8fd9\u4e9b\u53d8\u5316\u5bf9\u5176\u4ed6\u4e13\u4e1a\u7684\u6f5c\u5728\u5f71\u54cd\uff0c\u81ea\u52a8\u5411\u53ef\u80fd\u53d7\u5f71\u54cd\u7684\u4e13\u4e1a\u53d1\u9001\u53d8\u66f4\u63d0\u9192\uff0c\u5e76\u9644\u4e0aAI\u751f\u6210\u7684\u5f71\u54cd\u5206\u6790\u6458\u8981\u3002<\/p>\n\n\n\n

\u4f1a\u8bae\u8bb0\u5f55\u667a\u80fd\u5904\u7406<\/strong>\uff1a\u5efa\u7b51\u9879\u76ee\u4e2d\u5927\u91cf\u534f\u8c03\u5de5\u4f5c\u901a\u8fc7\u4f8b\u4f1a\u63a8\u8fdb\uff0c\u4f1a\u8bae\u8bb0\u5f55\u7684\u6574\u7406\u548c\u8ddf\u8fdb\u5f80\u5f80\u4f9d\u8d56\u4eba\u5de5\u3002\u901a\u8fc7n8n\u96c6\u6210\u8bed\u97f3\u8f6c\u6587\u5b57\u670d\u52a1\uff08\u5982\u8baf\u98de\u6216WhisperAPI\uff09\uff0c\u53ef\u4ee5\u81ea\u52a8\u5c06\u4f1a\u8bae\u5f55\u97f3\u8f6c\u6362\u4e3a\u6587\u5b57\uff0c\u7531Dify\u667a\u80fd\u4f53\u63d0\u53d6\u884c\u52a8\u9879\u3001\u8d23\u4efb\u4eba\u548c\u622a\u6b62\u65e5\u671f\uff0c\u81ea\u52a8\u521b\u5efa\u4efb\u52a1\u5230\u9879\u76ee\u7ba1\u7406\u7cfb\u7edf\uff08\u5982Jira\u6216Tower\uff09\uff0c\u5e76\u5728\u622a\u6b62\u65e5\u524d\u81ea\u52a8\u53d1\u9001\u63d0\u9192\u3002<\/p>\n\n\n\n

5.3 \u6848\u4f8b\u53c2\u8003\uff1a\u65b0\u52a0\u5761\u5efa\u8bbe\u5c40\u7684\u6570\u5b57\u5316\u534f\u540c\u5b9e\u8df5<\/strong><\/strong><\/h2>\n\n\n\n

\u65b0\u52a0\u5761\u5efa\u8bbe\u5c40\uff08BCA\uff09\u7684CORENET X\u5e73\u53f0\u662f\u653f\u5e9c\u4e3b\u5bfc\u7684BIM\u534f\u540c\u5ba1\u6279\u7cfb\u7edf\uff0c\u8981\u6c42\u6240\u6709\u5927\u578b\u5efa\u7b51\u9879\u76ee\u4ee5IFC\u683c\u5f0f\u63d0\u4ea4\u7535\u5b50\u5ba1\u56fe\u3002\u8be5\u7cfb\u7edf\u4e8e2022\u5e74\u5168\u9762\u63a8\u884c\u540e\uff0c\u636e\u5b98\u65b9\u62a5\u544a\u663e\u793a\uff0c\u5ba1\u56fe\u5468\u671f\u4ece\u5e73\u574790\u5929\u7f29\u77ed\u81f314\u5929\uff0c\u7ea6\u51cf\u5c1185%\u7684\u5ba1\u56fe\u65f6\u95f4\u3002\u8fd9\u4e00\u5b9e\u8df5\u9a8c\u8bc1\u4e86\u6570\u5b57\u5316\u534f\u540c\u5de5\u5177\u5728\u5efa\u7b51\u884c\u4e1a\u7684\u5de8\u5927\u6548\u80fd\uff0c\u800c\u57fa\u4e8en8n + Dify\u7684\u79c1\u6709\u5316\u534f\u540c\u52a9\u624b\uff0c\u53ef\u4ee5\u5c06\u7c7b\u4f3c\u7684\u6548\u7387\u63d0\u5347\u80fd\u529b\u4e0b\u653e\u5230\u4e2d\u5c0f\u578b\u8bbe\u8ba1\u9662\u3002<\/p>\n\n\n\n

\u516d\u3001\u521b\u65b0\u5e94\u7528\u65b9\u5411\u56db\uff1aAI\u9a71\u52a8\u7684\u5168\u6d41\u7a0b\u9020\u4ef7\u4f30\u7b97\u7cfb\u7edf<\/strong><\/strong><\/h1>\n\n\n\n

6.1 \u9020\u4ef7\u4f30\u7b97\u7684\u884c\u4e1a\u75db\u70b9<\/strong><\/strong><\/h2>\n\n\n\n

\u5efa\u7b51\u9020\u4ef7\u4f30\u7b97\u8d2f\u7a7f\u8bbe\u8ba1\u5168\u5468\u671f\uff0c\u4ece\u9879\u76ee\u7acb\u9879\u9636\u6bb5\u7684\u6295\u8d44\u4f30\u7b97\uff0c\u5230\u6269\u521d\u9636\u6bb5\u7684\u6982\u7b97\uff0c\u518d\u5230\u65bd\u5de5\u56fe\u9636\u6bb5\u7684\u9884\u7b97\uff0c\u6bcf\u4e2a\u9636\u6bb5\u90fd\u9700\u8981\u4e13\u4e1a\u9020\u4ef7\u5de5\u7a0b\u5e08\u53c2\u4e0e\u3002\u7136\u800c\uff0c\u9020\u4ef7\u5de5\u7a0b\u5e08\u7684\u6570\u91cf\u4e25\u91cd\u4e0d\u8db3\u4e8e\u884c\u4e1a\u9700\u6c42\uff0c\u4e14\u65e9\u671f\u9636\u6bb5\u7684\u4f30\u7b97\u7cbe\u5ea6\u6781\u4f4e\u2014\u2014\u4e1a\u5185\u516c\u8ba4\u65b9\u6848\u9636\u6bb5\u7684\u6295\u8d44\u4f30\u7b97\u8bef\u5dee\u901a\u5e38\u5728\u00b130%\u4ee5\u4e0a\u3002<\/p>\n\n\n\n

Zheng\u7b49\u4eba\uff082023\uff09\u5728\u300aMachine Learning-Based Construction Cost Estimation: A Systematic Review\u300b\u4e2d\u7efc\u8ff0\u4e86\u673a\u5668\u5b66\u4e60\u5728\u9020\u4ef7\u4f30\u7b97\u9886\u57df\u7684\u7814\u7a76\u73b0\u72b6\uff0c\u6307\u51fa\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u9020\u4ef7\u9884\u6d4b\u6a21\u578b\u5728\u6709\u5145\u8db3\u5386\u53f2\u6570\u636e\u652f\u6491\u7684\u60c5\u51b5\u4e0b\uff0c\u53ef\u5c06\u65e9\u671f\u4f30\u7b97\u7684\u8bef\u5dee\u63a7\u5236\u5728\u00b115%\u4ee5\u5185\uff0c\u663e\u8457\u4f18\u4e8e\u4f20\u7edf\u7684\u6307\u6807\u6cd5\u548c\u7c7b\u6bd4\u6cd5\u3002<\/p>\n\n\n\n

6.2 \u667a\u80fd\u9020\u4ef7\u5de5\u4f5c\u6d41\u8bbe\u8ba1<\/strong><\/strong><\/h2>\n\n\n\n

\u7ed3\u5408n8n + Dify + \u9020\u4ef7\u6570\u636e\u5e93\uff0c\u53ef\u4ee5\u6784\u5efa\u8986\u76d6\u8bbe\u8ba1\u5168\u5468\u671f\u7684\u667a\u80fd\u9020\u4ef7\u4f30\u7b97\u7cfb\u7edf\uff1a<\/p>\n\n\n\n

\u65b9\u6848\u9636\u6bb5\u6295\u8d44\u4f30\u7b97<\/strong>\uff1a\u5f53Dify\u6536\u5230\u7528\u6237\u8f93\u5165\u7684\u9879\u76ee\u57fa\u672c\u53c2\u6570\uff08\u5efa\u7b51\u7c7b\u578b\u3001\u89c4\u6a21\u3001\u5efa\u8bbe\u5730\u70b9\u3001\u54c1\u8d28\u6807\u51c6\uff09\u540e\uff0c\u7cfb\u7edf\u81ea\u52a8\u4ece\u5386\u53f2\u9879\u76ee\u6570\u636e\u5e93\u4e2d\u68c0\u7d22\u76f8\u4f3c\u9879\u76ee\u7684\u5355\u65b9\u9020\u4ef7\u6307\u6807\uff0c\u7ed3\u5408\u5f53\u5730\u5efa\u6750\u4ef7\u683c\u6307\u6570\uff08\u4ece\u9020\u4ef7\u4fe1\u606f\u5e73\u53f0\u5b9a\u65f6\u62c9\u53d6\uff09\u548c\u653f\u7b56\u8c03\u6574\u56e0\u5b50\uff0c\u8ba1\u7b97\u6295\u8d44\u4f30\u7b97\u533a\u95f4\uff0c\u5e76\u751f\u6210\u4f30\u7b97\u8bf4\u660e\u62a5\u544a\u3002\u6574\u4e2a\u8fc7\u7a0b\u53ef\u57285\u5206\u949f\u5185\u5b8c\u6210\u3002<\/p>\n\n\n\n

\u6269\u521d\u9636\u6bb5\u6982\u7b97\u81ea\u52a8\u5316<\/strong>\uff1an8n\u5de5\u4f5c\u6d41\u76d1\u63a7BIM\u6a21\u578b\u7684\u5b8c\u6210\u5ea6\uff0c\u5f53\u6a21\u578b\u8fbe\u5230LOD200\uff08\u6982\u5ff5\u8bbe\u8ba1\u6df1\u5ea6\uff09\u65f6\uff0c\u81ea\u52a8\u63d0\u53d6\u5404\u7c7b\u6784\u4ef6\u7684\u5de5\u7a0b\u91cf\u7edf\u8ba1\uff08\u5899\u4f53\u9762\u79ef\u3001\u697c\u677f\u9762\u79ef\u3001\u95e8\u7a97\u6570\u91cf\u7b49\uff09\uff0c\u4f20\u5165Dify\u667a\u80fd\u4f53\uff0c\u7ed3\u5408\u5f53\u5730\u5b9a\u989d\u548c\u5e02\u573a\u4ef7\u683c\uff0c\u81ea\u52a8\u751f\u6210\u5206\u9879\u6982\u7b97\u8868\uff0c\u5e76\u6807\u6ce8\u4e0e\u65b9\u6848\u4f30\u7b97\u7684\u504f\u5dee\uff0c\u63d0\u793a\u9700\u8981\u91cd\u70b9\u5173\u6ce8\u7684\u8d85\u652f\u98ce\u9669\u9879\u3002<\/p>\n\n\n\n

\u53d8\u66f4\u9020\u4ef7\u5f71\u54cd\u5206\u6790<\/strong>\uff1a\u5f53\u8bbe\u8ba1\u53d1\u751f\u53d8\u66f4\u65f6\uff08n8n\u76d1\u6d4b\u5230BIM\u6a21\u578b\u53d8\u66f4\u4e8b\u4ef6\uff09\uff0c\u7cfb\u7edf\u81ea\u52a8\u8ba1\u7b97\u53d8\u66f4\u6d89\u53ca\u7684\u5de5\u7a0b\u91cf\u53d8\u5316\uff0c\u8c03\u7528\u9020\u4ef7\u77e5\u8bc6\u5e93\u4f30\u7b97\u53d8\u66f4\u8d39\u7528\uff0c\u57282\u5206\u949f\u5185\u5411\u9879\u76ee\u7ba1\u7406\u8005\u53d1\u9001\u53d8\u66f4\u9020\u4ef7\u5f71\u54cd\u901a\u77e5\uff0c\u652f\u6301\u5feb\u901f\u7684\u8bbe\u8ba1\u51b3\u7b56\u3002<\/p>\n\n\n\n

6.3 \u6570\u636e\u57fa\u7840\u7684\u6784\u5efa<\/strong><\/strong><\/h2>\n\n\n\n

\u667a\u80fd\u9020\u4ef7\u7cfb\u7edf\u7684\u6709\u6548\u6027\u9ad8\u5ea6\u4f9d\u8d56\u5386\u53f2\u6570\u636e\u7684\u8d28\u91cf\u548c\u6570\u91cf\u3002\u5efa\u8bae\u8bbe\u8ba1\u9662\u5728\u5b9e\u65bd\u524d\uff0c\u7cfb\u7edf\u6574\u7406\u8fd15\u5e74\u5df2\u7ae3\u5de5\u9879\u76ee\u7684\u5b8c\u6574\u9020\u4ef7\u6570\u636e\uff0c\u5efa\u7acb\u5305\u542b\u9879\u76ee\u7279\u5f81\u3001\u5de5\u7a0b\u91cf\u3001\u5355\u4ef7\u7b49\u4fe1\u606f\u7684\u7ed3\u6784\u5316\u6570\u636e\u5e93\u3002\u968f\u7740\u79ef\u7d2f\u9879\u76ee\u6570\u91cf\u7684\u589e\u52a0\uff0c\u7cfb\u7edf\u7684\u9884\u6d4b\u7cbe\u5ea6\u5c06\u6301\u7eed\u63d0\u5347\uff0c\u5f62\u6210\u826f\u6027\u7684\u6570\u636e\u98de\u8f6e\u6548\u5e94\u3002<\/p>\n\n\n\n

\u4e03\u3001\u521b\u65b0\u5e94\u7528\u65b9\u5411\u4e94\uff1a\u5efa\u7b51\u6027\u80fd\u4eff\u771f\u81ea\u52a8\u4f18\u5316\u5faa\u73af<\/strong><\/strong><\/h1>\n\n\n\n

7.1 \u7eff\u8272\u5efa\u7b51\u6027\u80fd\u4f18\u5316\u7684\u73b0\u5b9e\u56f0\u5883<\/strong><\/strong><\/h2>\n\n\n\n

\u5728”\u53cc\u78b3”\u76ee\u6807\u548c\u7eff\u8272\u5efa\u7b51\u8bc4\u4ef7\u6807\u51c6\u7684\u53cc\u91cd\u7ea6\u675f\u4e0b\uff0c\u5efa\u7b51\u6027\u80fd\u4f18\u5316\u5df2\u6210\u4e3a\u8bbe\u8ba1\u5de5\u4f5c\u7684\u5fc5\u8981\u7ec4\u6210\u90e8\u5206\u3002\u7136\u800c\uff0c\u4f20\u7edf\u7684\u6027\u80fd\u4eff\u771f\u5de5\u4f5c\u5b58\u5728\u663e\u8457\u7684\u6548\u7387\u74f6\u9888\uff1a\u6bcf\u6b21\u4eff\u771f\u5206\u6790\uff08\u80fd\u8017\u3001\u91c7\u5149\u3001\u98ce\u73af\u5883\u7b49\uff09\u901a\u5e38\u9700\u8981\u6570\u5c0f\u65f6\u5230\u6570\u5929\u7684\u8ba1\u7b97\u65f6\u95f4\uff0c\u5bfc\u81f4\u8bbe\u8ba1\u5e08\u65e0\u6cd5\u5728\u65b9\u6848\u9636\u6bb5\u8fdb\u884c\u5145\u5206\u7684\u6027\u80fd\u8fed\u4ee3\u4f18\u5316\uff0c\u5f80\u5f80\u53ea\u80fd\u5728\u65bd\u5de5\u56fe\u9636\u6bb5\u505a\u88ab\u52a8\u7684\u6027\u80fd\u4fee\u8865\uff0c\u4ee3\u4ef7\u9ad8\u6602\u4e14\u6548\u679c\u6709\u9650\u3002<\/p>\n\n\n\n

Wortmann\uff082017\uff09\u5728\u300aModel-based Optimisation for Architectural Design\u300b\u4e2d\u63d0\u51fa\u4e86”\u8bbe\u8ba1\u9a71\u52a8\u4f18\u5316”\uff08Design-Driven Optimization\uff09\u6846\u67b6\uff0c\u5f3a\u8c03\u6027\u80fd\u4f18\u5316\u5e94\u5f53\u8d2f\u7a7f\u8bbe\u8ba1\u5168\u8fc7\u7a0b\uff0c\u800c\u975e\u96c6\u4e2d\u4e8e\u540e\u671f\u3002\u8be5\u6846\u67b6\u9700\u8981\u4f18\u5316\u7b97\u6cd5\u4e0e\u4eff\u771f\u5de5\u5177\u7684\u7d27\u5bc6\u96c6\u6210\uff0c\u5e76\u652f\u6301\u591a\u76ee\u6807\u4f18\u5316\uff08\u540c\u65f6\u4f18\u5316\u80fd\u8017\u3001\u9020\u4ef7\u3001\u8212\u9002\u5ea6\u7b49\u591a\u4e2a\u76f8\u4e92\u7ade\u4e89\u7684\u76ee\u6807\uff09\u3002<\/p>\n\n\n\n

7.2 AI\u4ee3\u7406\u9a71\u52a8\u7684\u6027\u80fd\u4f18\u5316\u5de5\u4f5c\u6d41<\/strong><\/strong><\/h2>\n\n\n\n

\u57fa\u4e8en8n + Dify + \u4eff\u771f\u5de5\u5177API\uff0c\u53ef\u4ee5\u6784\u5efa\u4e00\u4e2a\u81ea\u52a8\u5316\u7684\u5efa\u7b51\u6027\u80fd\u4f18\u5316\u5faa\u73af\uff1a<\/p>\n\n\n\n

\u53c2\u6570\u5316\u8bbe\u8ba1\u63a5\u5165<\/strong>\uff1a\u5728Grasshopper\uff08Rhino\u7684\u53c2\u6570\u5316\u8bbe\u8ba1\u63d2\u4ef6\uff09\u4e2d\uff0c\u5c06\u5efa\u7b51\u5f62\u4f53\u5173\u952e\u53c2\u6570\uff08\u697c\u5c42\u6570\u3001\u5e73\u9762\u5f00\u95f4\u8fdb\u6df1\u3001\u7acb\u9762\u5f00\u7a97\u7387\u3001\u906e\u9633\u5c3a\u5bf8\u7b49\uff09\u8bbe\u7f6e\u4e3a\u53ef\u53d8\u53c2\u6570\uff0c\u901a\u8fc7Grasshopper\u7684Rhino.Inside\u6216Compute API\u66b4\u9732\u4e3a\u53ef\u5916\u90e8\u8c03\u7528\u7684\u53c2\u6570\u5316\u6a21\u578b\u63a5\u53e3\u3002<\/p>\n\n\n\n

\u4f18\u5316\u5faa\u73af\u8bbe\u8ba1<\/strong>\uff1an8n\u5de5\u4f5c\u6d41\u6309\u7167\u4ee5\u4e0b\u6b65\u9aa4\u5faa\u73af\u6267\u884c\uff1aDify\u4f18\u5316\u4ee3\u7406\u6839\u636e\u5f53\u524d\u6027\u80fd\u6570\u636e\u548c\u8bbe\u8ba1\u76ee\u6807\uff0c\u751f\u6210\u4e0b\u4e00\u7ec4\u53c2\u6570\u53d6\u503c\u5efa\u8bae\uff1b\u5c06\u53c2\u6570\u4f20\u5165\u53c2\u6570\u5316\u6a21\u578b\uff0c\u751f\u6210\u65b0\u7684\u5efa\u7b51\u5f62\u4f53\uff1b\u81ea\u52a8\u63d0\u4ea4\u81f3EnergyPlus\uff08\u80fd\u8017\u4eff\u771f\uff09\u3001Radiance\uff08\u91c7\u5149\u4eff\u771f\uff09\u3001OpenFOAM\uff08\u98ce\u73af\u5883\u4eff\u771f\uff09\u8fdb\u884c\u6027\u80fd\u8ba1\u7b97\uff1b\u5c06\u4eff\u771f\u7ed3\u679c\u53cd\u9988\u7ed9Dify\u4f18\u5316\u4ee3\u7406\uff0c\u66f4\u65b0\u4f18\u5316\u7b56\u7565\uff1b\u5f53\u6ee1\u8db3\u6536\u655b\u6761\u4ef6\u6216\u8fbe\u5230\u9884\u8bbe\u8fed\u4ee3\u6b21\u6570\u65f6\u505c\u6b62\uff0c\u8fd4\u56dePareto\u6700\u4f18\u89e3\u96c6\u3002<\/p>\n\n\n\n

\u7ed3\u679c\u53ef\u89c6\u5316\u4e0e\u51b3\u7b56\u652f\u6301<\/strong>\uff1a\u5c06\u4f18\u5316\u7ed3\u679c\uff08\u591a\u4e2aPareto\u6700\u4f18\u65b9\u6848\u7684\u6027\u80fd\u6307\u6807\u5bf9\u6bd4\uff09\u751f\u6210\u4ea4\u4e92\u5f0f\u53ef\u89c6\u5316\u62a5\u544a\uff0c\u4f9b\u5efa\u7b51\u5e08\u505a\u6700\u7ec8\u9009\u62e9\u3002\u7531Dify\u751f\u6210\u5404\u65b9\u6848\u7684\u8bbe\u8ba1\u7279\u5f81\u63cf\u8ff0\u548c\u6027\u80fd\u4f18\u52a3\u5206\u6790\uff0c\u8f85\u52a9\u51b3\u7b56\u3002<\/p>\n\n\n\n

7.3 surrogate\u6a21\u578b\u52a0\u901f\uff1a\u673a\u5668\u5b66\u4e60\u7684\u5173\u952e\u8d21\u732e<\/strong><\/strong><\/h2>\n\n\n\n

\u7269\u7406\u4eff\u771f\u8ba1\u7b97\u8017\u65f6\u957f\u662f\u5b9e\u65bd\u4e0a\u8ff0\u5de5\u4f5c\u6d41\u7684\u6700\u5927\u969c\u788d\u3002\u5f53\u524d\u6700\u6709\u6548\u7684\u89e3\u51b3\u65b9\u6848\u662f\u6784\u5efasurrogate\u6a21\u578b\uff08\u4ee3\u7406\u6a21\u578b\uff09\u2014\u2014\u7528\u673a\u5668\u5b66\u4e60\u6a21\u578b\u6765\u8fd1\u4f3c\u66ff\u4ee3\u7269\u7406\u4eff\u771f\u7684\u8ba1\u7b97\u8fc7\u7a0b\u3002<\/p>\n\n\n\n

Dogan\u7b49\u4eba\uff082017\uff09\u5728\u300aShoeboxer: An Algorithm for Abstraction and Simulation Reductionism for Early Stage Passive Building Energy Design\u300b\u4e2d\u9a8c\u8bc1\u4e86\u57fa\u4e8e\u673a\u5668\u5b66\u4e60\u7684\u80fd\u8017\u4ee3\u7406\u6a21\u578b\u7684\u53ef\u884c\u6027\uff0c\u5176\u6784\u5efa\u7684\u795e\u7ecf\u7f51\u7edc\u4ee3\u7406\u6a21\u578b\u5728\u4fdd\u630195%\u7cbe\u5ea6\u7684\u524d\u63d0\u4e0b\uff0c\u5c06\u5355\u6b21\u8ba1\u7b97\u65f6\u95f4\u4ece30\u5206\u949f\u538b\u7f29\u81f30.1\u79d2\uff0c\u4f7f\u5f97\u5927\u89c4\u6a21\u53c2\u6570\u4f18\u5316\u6210\u4e3a\u53ef\u80fd\u3002\u5728n8n\u5de5\u4f5c\u6d41\u4e2d\uff0c\u53ef\u4ee5\u5c06\u7ecf\u8fc7\u5145\u5206\u8bad\u7ec3\u7684surrogate\u6a21\u578b\u90e8\u7f72\u4e3a\u72ec\u7acb\u7684\u5fae\u670d\u52a1\uff0c\u66ff\u4ee3\u8017\u65f6\u7684\u7269\u7406\u4eff\u771f\uff0c\u5b9e\u73b0\u771f\u6b63\u610f\u4e49\u4e0a\u7684\u5b9e\u65f6\u6027\u80fd\u4f18\u5316\u3002<\/p>\n\n\n\n

\u516b\u3001\u521b\u65b0\u5e94\u7528\u65b9\u5411\u516d\uff1a\u5386\u53f2\u5efa\u7b51\u6570\u5b57\u5316\u4fdd\u62a4\u4e0e\u98ce\u8c8c\u4f20\u627f\u7cfb\u7edf<\/strong><\/strong><\/h1>\n\n\n\n

8.1 \u5386\u53f2\u5efa\u7b51\u4fdd\u62a4\u7684\u6570\u5b57\u5316\u9700\u6c42<\/strong><\/strong><\/h2>\n\n\n\n

\u5386\u53f2\u5efa\u7b51\u548c\u5386\u53f2\u8857\u533a\u7684\u4fdd\u62a4\u4e0e\u4f20\u627f\uff0c\u662f\u5f53\u4ee3\u5efa\u7b51\u5e08\u9762\u4e34\u7684\u91cd\u8981\u8d23\u4efb\u3002\u7136\u800c\uff0c\u4f20\u7edf\u7684\u5386\u53f2\u5efa\u7b51\u8bb0\u5f55\u548c\u98ce\u8c8c\u7814\u7a76\u5de5\u4f5c\u6781\u4e3a\u8017\u65f6\u8d39\u529b\u2014\u2014\u9010\u4e00\u6d4b\u7ed8\u3001\u4eba\u5de5\u8fa8\u6790\u5efa\u7b51\u98ce\u683c\u8981\u7d20\u3001\u5f62\u6210\u8c03\u7814\u62a5\u544a\uff0c\u5f80\u5f80\u9700\u8981\u6570\u6708\u65f6\u95f4\u3002\u6570\u5b57\u5316\u548cAI\u6280\u672f\u7684\u53d1\u5c55\uff0c\u4e3a\u5386\u53f2\u5efa\u7b51\u4fdd\u62a4\u5de5\u4f5c\u63d0\u4f9b\u4e86\u524d\u6240\u672a\u6709\u7684\u6548\u7387\u5de5\u5177\u3002<\/p>\n\n\n\n

Guo\u7b49\u4eba\uff082023\uff09\u5728\u300aDeep Learning for Heritage Architecture Recognition: A Multi-Modal Approach\u300b\u4e2d\u63d0\u51fa\u4e86\u878d\u5408\u70b9\u4e91\u6570\u636e\u3001\u7acb\u9762\u56fe\u50cf\u548c\u5efa\u7b51\u5c5e\u6027\u4fe1\u606f\u7684\u591a\u6a21\u6001\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u5b9e\u73b0\u4e86\u5bf9\u5386\u53f2\u5efa\u7b51\u98ce\u683c\u5143\u7d20\uff08\u5982\u6597\u62f1\u3001\u9a6c\u5934\u5899\u3001\u4e94\u810a\u516d\u517d\u7b49\uff09\u7684\u81ea\u52a8\u8bc6\u522b\uff0c\u51c6\u786e\u7387\u8fbe\u523091.3%\u3002<\/p>\n\n\n\n

8.2 \u667a\u80fd\u9057\u4ea7\u8bb0\u5f55\u5de5\u4f5c\u6d41<\/strong><\/strong><\/h2>\n\n\n\n

\u57fa\u4e8e\u8fd9\u4e00\u6280\u672f\u57fa\u7840\uff0c\u53ef\u4ee5\u8bbe\u8ba1\u5982\u4e0b\u7684\u5386\u53f2\u5efa\u7b51\u6570\u5b57\u5316\u8bb0\u5f55\u5de5\u4f5c\u6d41\uff1a<\/p>\n\n\n\n

\u6570\u636e\u91c7\u96c6\u81ea\u52a8\u5316<\/strong>\uff1a\u5229\u7528\u65e0\u4eba\u673a\u643a\u5e26\u7684LiDAR\u548c\u9ad8\u5206\u8fa8\u7387\u76f8\u673a\uff0c\u5bf9\u5386\u53f2\u5efa\u7b51\u8fdb\u884c\u5168\u65b9\u4f4d\u626b\u63cf\uff0c\u83b7\u53d6\u70b9\u4e91\u6570\u636e\u548c\u6b63\u5c04\u5f71\u50cf\u3002n8n\u5de5\u4f5c\u6d41\u81ea\u52a8\u5c06\u91c7\u96c6\u6570\u636e\u4e0a\u4f20\u81f3\u5904\u7406\u670d\u52a1\u5668\uff0c\u89e6\u53d1\u4e09\u7ef4\u91cd\u5efa\uff08Reality Capture\u6216Metashape\uff09\u548c\u98ce\u683c\u8981\u7d20\u8bc6\u522b\u4efb\u52a1\u3002<\/p>\n\n\n\n

\u98ce\u8c8c\u7279\u5f81\u63d0\u53d6<\/strong>\uff1aAI\u6a21\u578b\u81ea\u52a8\u8bc6\u522b\u5efa\u7b51\u7684\u5f62\u4f53\u7279\u5f81\uff08\u5c4b\u9876\u5f62\u5f0f\u3001\u7acb\u9762\u6bd4\u4f8b\u3001\u95e8\u7a97\u7c7b\u578b\uff09\u548c\u88c5\u9970\u5143\u7d20\uff08\u810a\u9970\u3001\u96d5\u82b1\u3001\u8272\u5f69\uff09\uff0c\u751f\u6210\u7ed3\u6784\u5316\u7684\u98ce\u8c8c\u7279\u5f81\u6570\u636e\u8868\uff0c\u5e76\u901a\u8fc7Dify\u667a\u80fd\u4f53\u4e0e\u5386\u53f2\u6587\u732e\u6570\u636e\u5e93\u8fdb\u884c\u5173\u8054\u5339\u914d\uff0c\u81ea\u52a8\u751f\u6210\u5efa\u7b51\u5386\u53f2\u80cc\u666f\u8bf4\u660e\u3002<\/p>\n\n\n\n

\u98ce\u8c8c\u4f20\u627f\u8bbe\u8ba1\u8f85\u52a9<\/strong>\uff1a\u5728\u65b0\u5efa\u9879\u76ee\u7684\u65b9\u6848\u9636\u6bb5\uff0cDify\u667a\u80fd\u4f53\u53ef\u4ee5\u57fa\u4e8e\u5df2\u6709\u7684\u5386\u53f2\u98ce\u8c8c\u7279\u5f81\u6570\u636e\u5e93\uff0c\u4e3a\u8bbe\u8ba1\u5e08\u63d0\u4f9b\u98ce\u8c8c\u4f20\u627f\u5efa\u8bae\u2014\u2014\u6307\u51fa\u54ea\u4e9b\u5143\u7d20\u3001\u6bd4\u4f8b\u548c\u8272\u5f69\u5e94\u5f53\u88ab\u5ef6\u7eed\uff0c\u54ea\u4e9b\u5f53\u4ee3\u6750\u6599\u548c\u6280\u672f\u53ef\u4ee5\u4e0e\u4f20\u7edf\u98ce\u8c8c\u548c\u8c10\u5171\u5b58\u3002Stable Diffusion\u6a21\u578b\u7ecf\u8fc7\u5386\u53f2\u98ce\u8c8c\u6570\u636e\u96c6Fine-tune\u540e\uff0c\u53ef\u4ee5\u751f\u6210\u5c06\u4f20\u7edf\u8981\u7d20\u4e0e\u73b0\u4ee3\u8bbe\u8ba1\u8bed\u8a00\u6709\u673a\u878d\u5408\u7684\u6548\u679c\u56fe\u65b9\u6848\uff0c\u4f9b\u8bbe\u8ba1\u5e08\u53c2\u8003\u3002<\/p>\n\n\n\n

8.3 \u6570\u5b57\u5b6a\u751f\u4e0eVR\u5c55\u793a<\/strong><\/strong><\/h2>\n\n\n\n

\u5b8c\u6210\u6570\u5b57\u8bb0\u5f55\u540e\uff0cn8n\u5de5\u4f5c\u6d41\u53ef\u4ee5\u81ea\u52a8\u5c06\u4e09\u7ef4\u6a21\u578b\u8f6c\u5316\u4e3aWeb\u53ef\u4ea4\u4e92\u7684\u6570\u5b57\u5b6a\u751f\u6a21\u578b\uff0c\u901a\u8fc7VR\u8bbe\u5907\u5b9e\u73b0\u6c89\u6d78\u5f0f\u5386\u53f2\u5efa\u7b51\u53c2\u89c2\u4f53\u9a8c\u3002\u66f4\u8fdb\u4e00\u6b65\uff0c\u53ef\u4ee5\u7ed3\u5408\u5386\u53f2\u7167\u7247\u3001\u6587\u5b57\u8bb0\u5f55\u548cGAN\u56fe\u50cf\u751f\u6210\u6280\u672f\uff0c\u8fd8\u539f\u5efa\u7b51\u5728\u5386\u53f2\u4e0d\u540c\u65f6\u671f\u7684\u98ce\u8c8c\uff0c\u4e3a\u6587\u5316\u4f20\u627f\u63d0\u4f9b\u751f\u52a8\u7684\u6570\u5b57\u5316\u8f7d\u4f53\u3002\u8fd9\u4e00\u5e94\u7528\u5728\u6587\u5316\u65c5\u6e38\u9886\u57df\u540c\u6837\u5177\u6709\u663e\u8457\u7684\u5546\u4e1a\u4ef7\u503c\u3002<\/p>\n\n\n\n

\u4e5d\u3001\u521b\u65b0\u5e94\u7528\u65b9\u5411\u4e03\uff1a\u5ba2\u6237\u6c9f\u901a\u4e0e\u8bbe\u8ba1\u610f\u56fe\u667a\u80fd\u8f6c\u8bd1\u7cfb\u7edf<\/strong><\/strong><\/h1>\n\n\n\n

9.1 \u6c9f\u901a\u9e3f\u6c9f\uff1a\u5efa\u7b51\u4e13\u4e1a\u8868\u8fbe\u4e0e\u5ba2\u6237\u7406\u89e3\u7684\u5931\u914d<\/strong><\/strong><\/h2>\n\n\n\n

\u5efa\u7b51\u8bbe\u8ba1\u7684\u6700\u7ec8\u670d\u52a1\u5bf9\u8c61\u662f\u5ba2\u6237\uff0c\u4f46\u5efa\u7b51\u5e08\u4e0e\u975e\u4e13\u4e1a\u5ba2\u6237\u4e4b\u95f4\u957f\u671f\u5b58\u5728\u4e00\u9053\u96be\u4ee5\u903e\u8d8a\u7684\u6c9f\u901a\u9e3f\u6c9f\u3002\u5efa\u7b51\u5e08\u4e60\u60ef\u7528\u5e73\u9762\u56fe\u3001\u5256\u9762\u56fe\u3001\u4e13\u4e1a\u672f\u8bed\u6765\u8868\u8fbe\u8bbe\u8ba1\u610f\u56fe\uff0c\u800c\u5ba2\u6237\u5f80\u5f80\u7f3a\u4e4f\u9605\u8bfb\u4e13\u4e1a\u56fe\u7eb8\u7684\u80fd\u529b\uff0c\u5bf9\u8bbe\u8ba1\u7684\u7406\u89e3\u9ad8\u5ea6\u4f9d\u8d56\u6548\u679c\u56fe\u8fd9\u4e00\u6709\u9650\u7684\u89c6\u89c9\u5a92\u4ecb\u3002<\/p>\n\n\n\n

Oxman\uff082017\uff09\u5728\u300aThinking Design: Computational Design in the Age of Digital Drawing\u300b\u4e2d\u6307\u51fa\uff0c\u8bbe\u8ba1\u610f\u56fe\u7684\u8868\u8fbe\u548c\u4f20\u9012\u662f\u5efa\u7b51\u8bbe\u8ba1\u4e2d\u6700\u5bb9\u6613\u5931\u771f\u7684\u73af\u8282\uff0c\u5ba2\u6237\u5bf9\u8bbe\u8ba1\u7684\u8bef\u89e3\u5f80\u5f80\u76f4\u5230\u65bd\u5de5\u9636\u6bb5\u624d\u66b4\u9732\uff0c\u6b64\u65f6\u7684\u7ea0\u6b63\u4ee3\u4ef7\u6781\u9ad8\u3002<\/p>\n\n\n\n

9.2 \u591a\u7ef4\u5ea6\u8bbe\u8ba1\u610f\u56fe\u53ef\u89c6\u5316\u5de5\u4f5c\u6d41<\/strong><\/strong><\/h2>\n\n\n\n

\u57fa\u4e8eAI\u5de5\u5177\u94fe\uff0c\u53ef\u4ee5\u6784\u5efa\u4e00\u4e2a\u80fd\u591f\u81ea\u52a8\u5c06\u4e13\u4e1a\u56fe\u7eb8\u8f6c\u5316\u4e3a\u591a\u79cd\u5ba2\u6237\u53cb\u597d\u8868\u8fbe\u5f62\u5f0f\u7684\u5de5\u4f5c\u6d41\uff1a<\/p>\n\n\n\n

\u4ece\u5e73\u9762\u5230\u6f2b\u6e38<\/strong>\uff1an8n\u5de5\u4f5c\u6d41\u5728\u5efa\u7b51\u5e08\u63d0\u4ea4\u65b0\u7248\u65b9\u6848\u56fe\u7eb8\u65f6\u81ea\u52a8\u89e6\u53d1\uff0c\u5c06\u5e73\u9762\u56fe\u548c\u7acb\u9762\u56fe\u4f20\u5165AI\u4e09\u7ef4\u751f\u6210\u5de5\u5177\uff08\u5982SuiteX\u6216Spline AI\uff09\uff0c\u81ea\u52a8\u751f\u6210\u4e09\u7ef4\u6a21\u578b\uff1b\u518d\u7531Gaussian Splatting\u6216NeRF\u6280\u672f\u751f\u6210\u53ef\u5b9e\u65f6\u6f2b\u6e38\u7684\u6c89\u6d78\u5f0f\u573a\u666f\uff0c\u65e0\u9700\u4e13\u4e1aVR\u8bbe\u5907\uff0c\u4ec5\u51ed\u624b\u673a\u6216\u7535\u8111\u6d4f\u89c8\u5668\u5373\u53ef\u4f53\u9a8c\u3002<\/p>\n\n\n\n

\u7a7a\u95f4\u611f\u53d7\u7684\u81ea\u7136\u8bed\u8a00\u63cf\u8ff0<\/strong>\uff1aDify\u667a\u80fd\u4f53\u57fa\u4e8e\u5e73\u9762\u56fe\u5206\u6790\u7ed3\u679c\uff0c\u81ea\u52a8\u751f\u6210\u7b26\u5408\u76ee\u6807\u5ba2\u6237\u80cc\u666f\u7684\u7a7a\u95f4\u4f53\u9a8c\u63cf\u8ff0\u6587\u672c\u2014\u2014\u5bf9\u4f4f\u5b85\u5ba2\u6237\uff0c\u91cd\u70b9\u63cf\u8ff0\u5bb6\u5c45\u751f\u6d3b\u573a\u666f\uff1b\u5bf9\u5546\u4e1a\u5ba2\u6237\uff0c\u91cd\u70b9\u63cf\u8ff0\u5ba2\u6d41\u52a8\u7ebf\u548c\u5546\u4e1a\u6c1b\u56f4\u3002\u8fd9\u4e9b\u6587\u5b57\u63cf\u8ff0\u4e0d\u4f7f\u7528\u4e13\u4e1a\u672f\u8bed\uff0c\u800c\u662f\u4f7f\u7528\u5ba2\u6237\u5bb9\u6613\u611f\u77e5\u7684\u65e5\u5e38\u8bed\u8a00\uff0c\u5927\u5e45\u964d\u4f4e\u7406\u89e3\u95e8\u69db\u3002<\/p>\n\n\n\n

\u5b9e\u65f6\u65b9\u6848\u8c03\u6574\u4e0e\u5373\u65f6\u53ef\u89c6\u5316<\/strong>\uff1a\u5ba2\u6237\u63d0\u51fa\u4fee\u6539\u610f\u89c1\uff08\u5982”\u4e3b\u5367\u6539\u5927\u4e00\u4e9b”\u3001”\u589e\u52a0\u4e00\u95f4\u4e66\u623f”\uff09\u540e\uff0cDify\u667a\u80fd\u4f53\u5c06\u81ea\u7136\u8bed\u8a00\u6307\u4ee4\u8f6c\u5316\u4e3a\u53c2\u6570\u5316\u8bbe\u8ba1\u7684\u8c03\u6574\u6307\u4ee4\uff0cn8n\u5de5\u4f5c\u6d41\u89e6\u53d1\u53c2\u6570\u6a21\u578b\u66f4\u65b0\u548c\u6548\u679c\u56fe\u91cd\u65b0\u6e32\u67d3\uff0c\u5728\u4f1a\u8bae\u73b0\u573a\u5b9e\u73b0”\u6240\u6539\u5373\u6240\u89c1”\u7684\u5b9e\u65f6\u53cd\u9988\u3002\u8fd9\u4e00\u80fd\u529b\u5c06\u5f7b\u5e95\u6539\u53d8\u4f20\u7edf\u7684\u65b9\u6848\u6c47\u62a5\u6a21\u5f0f\uff0c\u4f7f\u6c9f\u901a\u6548\u7387\u6210\u500d\u63d0\u5347\u3002<\/p>\n\n\n\n

9.3 \u8bbe\u8ba1\u610f\u56fe\u5b58\u6863\u4e0e\u8ffd\u6eaf<\/strong><\/strong><\/h2>\n\n\n\n

\u9664\u4e86\u6539\u5584\u5f53\u4e0b\u7684\u6c9f\u901a\u4f53\u9a8c\uff0c\u8fd9\u5957\u5de5\u4f5c\u6d41\u8fd8\u80fd\u591f\u81ea\u52a8\u8bb0\u5f55\u6bcf\u6b21\u6c9f\u901a\u7684\u5ba2\u6237\u53cd\u9988\u3001\u8bbe\u8ba1\u8c03\u6574\u5185\u5bb9\u548c\u51b3\u7b56\u4f9d\u636e\uff0c\u5f62\u6210\u5b8c\u6574\u7684\u8bbe\u8ba1\u51b3\u7b56\u6863\u6848\u3002\u5f53\u9879\u76ee\u5728\u540e\u671f\u51fa\u73b0\u4e89\u8bae\u65f6\uff08\u5982”\u5f53\u521d\u4f60\u4eec\u7b54\u5e94\u8fc7\u7684xxx\u6ca1\u6709\u5b9e\u73b0”\uff09\uff0c\u8fd9\u4efd\u6709\u65f6\u95f4\u6233\u7684\u5b8c\u6574\u8bb0\u5f55\u53ef\u4ee5\u4e3a\u8bbe\u8ba1\u9662\u63d0\u4f9b\u6709\u529b\u7684\u6cd5\u5f8b\u4fdd\u62a4\u3002Dify\u53ef\u4ee5\u5bf9\u8fd9\u4efd\u6863\u6848\u8fdb\u884cRAG\u5904\u7406\uff0c\u4f7f\u4efb\u4f55\u56e2\u961f\u6210\u5458\u90fd\u80fd\u5feb\u901f\u68c0\u7d22\u5230\u5386\u53f2\u51b3\u7b56\u7684\u4f9d\u636e\uff0c\u907f\u514d\u56e0\u4eba\u5458\u6d41\u52a8\u5bfc\u81f4\u7684\u4fe1\u606f\u4e22\u5931\u3002<\/p>\n\n\n\n

\u5341\u3001\u521b\u65b0\u5e94\u7528\u65b9\u5411\u516b\uff1a\u65bd\u5de5\u56fe\u6df1\u5316\u4e0e\u9519\u6f0f\u78b0\u7f3a\u667a\u80fd\u68c0\u67e5<\/strong><\/strong><\/h1>\n\n\n\n

10.1 \u65bd\u5de5\u56fe\u8d28\u91cf\u95ee\u9898\u7684\u7cfb\u7edf\u6027\u56f0\u5883<\/strong><\/strong><\/h2>\n\n\n\n

\u65bd\u5de5\u56fe\u8bbe\u8ba1\u662f\u5efa\u7b51\u8bbe\u8ba1\u6d41\u7a0b\u4e2d\u6700\u8017\u65f6\u3001\u9519\u8bef\u7387\u6700\u9ad8\u7684\u9636\u6bb5\u3002\u4e00\u5957\u4e2d\u7b49\u89c4\u6a21\u5efa\u7b51\u9879\u76ee\u7684\u65bd\u5de5\u56fe\u901a\u5e38\u5305\u542b\u6570\u767e\u5f20\u56fe\u7eb8\uff0c\u6d89\u53ca\u5efa\u7b51\u3001\u7ed3\u6784\u3001\u673a\u7535\u7b49\u591a\u4e2a\u4e13\u4e1a\uff0c\u56fe\u7eb8\u4e4b\u95f4\u7684\u534f\u8c03\u4e00\u81f4\u6027\u662f\u65bd\u5de5\u56fe\u8d28\u91cf\u7684\u6838\u5fc3\u8981\u6c42\u3002\u5b9e\u8df5\u4e2d\uff0c\u56e0\u56fe\u7eb8\u9519\u6f0f\u78b0\u7f3a\u800c\u5bfc\u81f4\u7684\u65bd\u5de5\u53d8\u66f4\uff0c\u662f\u5efa\u7b51\u5de5\u7a0b\u6210\u672c\u8d85\u652f\u548c\u5de5\u671f\u5ef6\u8bef\u7684\u6700\u5e38\u89c1\u539f\u56e0\u3002<\/p>\n\n\n\n

Rausch\u7b49\u4eba\uff082020\uff09\u5728\u300aQuantifying and Benchmarking Constructability of Construction Details\u300b\u4e2d\u7684\u7edf\u8ba1\u6570\u636e\u663e\u793a\uff0c\u4e00\u5957\u5178\u578b\u7684\u65bd\u5de5\u56fe\u4e2d\u5e73\u5747\u5b58\u572835\u81f350\u5904\u9700\u8981\u4fee\u6b63\u7684\u9519\u8bef\u6216\u4e0d\u4e00\u81f4\u4e4b\u5904\uff0c\u800c\u4eba\u5de5\u5ba1\u56fe\u7684\u6f0f\u68c0\u7387\u901a\u5e38\u572820%\u81f330%\u4e4b\u95f4\u3002<\/p>\n\n\n\n

10.2 AI\u8f85\u52a9\u65bd\u5de5\u56fe\u5ba1\u67e5\u5de5\u4f5c\u6d41<\/strong><\/strong><\/h2>\n\n\n\n

\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u56fe\u7eb8\u7406\u89e3\u548c\u77e5\u8bc6\u56fe\u8c31\u6280\u672f\uff0c\u53ef\u4ee5\u6784\u5efa\u8986\u76d6\u65bd\u5de5\u56fe\u5168\u6d41\u7a0b\u7684\u667a\u80fd\u5ba1\u67e5\u4f53\u7cfb\uff1a<\/p>\n\n\n\n

\u6807\u6ce8\u4e00\u81f4\u6027\u68c0\u67e5<\/strong>\uff1an8n\u5de5\u4f5c\u6d41\u5b9a\u65f6\u4ece\u56fe\u7eb8\u7ba1\u7406\u7cfb\u7edf\u83b7\u53d6\u6700\u65b0\u56fe\u7eb8\uff0c\u8c03\u7528\u4e13\u95e8\u8bad\u7ec3\u7684\u56fe\u7eb8\u89e3\u6790\u6a21\u578b\uff0c\u63d0\u53d6\u6240\u6709\u6807\u6ce8\u4fe1\u606f\uff08\u5c3a\u5bf8\u3001\u6750\u6599\u505a\u6cd5\u3001\u5f15\u7528\u5927\u6837\u7f16\u53f7\u7b49\uff09\uff0c\u6784\u5efa\u56fe\u7eb8\u6807\u6ce8\u77e5\u8bc6\u56fe\u8c31\uff1b\u968f\u540e\uff0c\u81ea\u52a8\u68c0\u67e5\u540c\u4e00\u9879\u76ee\u4e2d\u4e0d\u540c\u56fe\u7eb8\u4e4b\u95f4\u7684\u6807\u6ce8\u4e00\u81f4\u6027\uff0c\u4f8b\u5982\uff1a\u5e73\u9762\u56fe\u4e2d\u7684\u95e8\u6d1e\u5c3a\u5bf8\u662f\u5426\u4e0e\u95e8\u7a97\u8868\u4e00\u81f4\u3001\u5899\u4f53\u539a\u5ea6\u6807\u6ce8\u662f\u5426\u4e0e\u603b\u8bf4\u660e\u4e00\u81f4\u3001\u5927\u6837\u56fe\u7f16\u53f7\u662f\u5426\u90fd\u6709\u5bf9\u5e94\u7684\u8be6\u56fe\u7b49\u3002<\/p>\n\n\n\n

\u8bbe\u8ba1\u6df1\u5ea6\u667a\u80fd\u8bc4\u4f30<\/strong>\uff1aDify\u667a\u80fd\u4f53\u57fa\u4e8e\u5efa\u8bbe\u9636\u6bb5\u8981\u6c42\uff08\u62a5\u5efa\/\u65bd\u5de5\u56fe\/\u7ae3\u5de5\u56fe\uff09\uff0c\u81ea\u52a8\u8bc4\u4f30\u56fe\u7eb8\u6df1\u5ea6\u662f\u5426\u8fbe\u6807\u2014\u2014\u68c0\u67e5\u662f\u5426\u6709\u5e94\u6709\u7684\u8282\u70b9\u5927\u6837\u5c1a\u672a\u7ed8\u5236\u3001\u5173\u952e\u90e8\u4f4d\u662f\u5426\u6709\u8db3\u591f\u7684\u8bf4\u660e\u7b49\uff0c\u751f\u6210”\u56fe\u7eb8\u5b8c\u6574\u6027\u68c0\u67e5\u62a5\u544a”\uff0c\u6307\u5bfc\u5236\u56fe\u4eba\u5458\u6709\u9488\u5bf9\u6027\u5730\u8865\u5145\u5b8c\u5584\u3002<\/p>\n\n\n\n

\u6807\u51c6\u505a\u6cd5\u81ea\u52a8\u5957\u7528<\/strong>\uff1a\u5f53\u56fe\u7eb8\u4e2d\u51fa\u73b0\u5e38\u89c1\u7684\u6807\u51c6\u6784\u9020\u8282\u70b9\u65f6\uff08\u5982\u5c4b\u9762\u9632\u6c34\u8282\u70b9\u3001\u5916\u5899\u4fdd\u6e29\u505a\u6cd5\u3001\u536b\u751f\u95f4\u9632\u6c34\u8282\u70b9\u7b49\uff09\uff0cDify\u77e5\u8bc6\u5e93\u81ea\u52a8\u63a8\u8350\u5bf9\u5e94\u7684\u6807\u51c6\u56fe\u96c6\u7f16\u53f7\u548c\u5f15\u7528\u65b9\u5f0f\uff0c\u5e76\u68c0\u67e5\u5f53\u524d\u91c7\u7528\u7684\u505a\u6cd5\u662f\u5426\u7b26\u5408\u6700\u65b0\u6807\u51c6\u56fe\u96c6\u7684\u8981\u6c42\uff0c\u907f\u514d\u5f15\u7528\u5df2\u5e9f\u6b62\u56fe\u96c6\u7684\u5e38\u89c1\u9519\u8bef\u3002<\/p>\n\n\n\n

10.3 \u4e0eBIM\u6a21\u578b\u7684\u53cc\u5411\u9a8c\u8bc1<\/strong><\/strong><\/h2>\n\n\n\n

\u66f4\u9ad8\u7ea7\u7684\u5e94\u7528\u662f\u5efa\u7acb\u65bd\u5de5\u56fe\u7eb8\u4e0eBIM\u6a21\u578b\u4e4b\u95f4\u7684\u53cc\u5411\u9a8c\u8bc1\u673a\u5236\uff1an8n\u5de5\u4f5c\u6d41\u81ea\u52a8\u6bd4\u5bf9\u5e73\u9762\u56fe\u4e2d\u7684\u5c3a\u5bf8\u6807\u6ce8\u4e0eBIM\u6a21\u578b\u7684\u5b9e\u9645\u6d4b\u91cf\u503c\uff0c\u4ee5\u53ca\u5256\u9762\u56fe\u7684\u6807\u9ad8\u4e0eBIM\u6a21\u578b\u697c\u5c42\u6807\u9ad8\uff0c\u81ea\u52a8\u8bc6\u522b”\u56fe\u7eb8\u753b\u7684”\u4e0e”\u6a21\u578b\u5efa\u7684”\u4e4b\u95f4\u7684\u4e0d\u4e00\u81f4\uff0c\u751f\u6210\u5dee\u5f02\u62a5\u544a\uff0c\u8981\u6c42\u8d23\u4efb\u4eba\u786e\u8ba4\u548c\u4fee\u6b63\u3002\u8fd9\u4e00\u673a\u5236\u4ece\u6839\u672c\u4e0a\u89e3\u51b3\u4e86”\u6a21\u578b\u4e0e\u56fe\u7eb8\u4e24\u5f20\u76ae”\u7684\u987d\u75be\uff0c\u5927\u5e45\u63d0\u5347\u65bd\u5de5\u56fe\u7684\u51c6\u786e\u6027\u548c\u53ef\u9760\u6027\u3002<\/p>\n\n\n\n

\u5341\u4e00\u3001\u5b9e\u65bd\u8def\u5f84\u4e0e\u98ce\u9669\u7ba1\u63a7<\/strong><\/strong><\/h1>\n\n\n\n

11.1 \u5206\u9636\u6bb5\u5b9e\u65bd\u7b56\u7565<\/strong><\/strong><\/h2>\n\n\n\n

\u5efa\u7b51\u8bbe\u8ba1\u9662\u5728\u5f15\u5165AI\u5de5\u4f5c\u6d41\u65f6\uff0c\u5207\u5fcc\u6025\u4e8e\u6c42\u6210\u3001\u5168\u9762\u94fa\u5f00\uff0c\u5e94\u91c7\u53d6\u5206\u9636\u6bb5\u3001\u6e10\u8fdb\u5f0f\u7684\u5b9e\u65bd\u7b56\u7565\u3002<\/p>\n\n\n\n

\u7b2c\u4e00\u9636\u6bb5\uff080\u81f33\u4e2a\u6708\uff09\uff1a\u9009\u62e9\u75db\u70b9\u6700\u96c6\u4e2d\u3001\u98ce\u9669\u6700\u4f4e\u7684\u5355\u70b9\u7a81\u7834\u53e3\uff0c\u5efa\u8bae\u4f18\u5148\u4ece\u89c4\u8303\u67e5\u8be2\u52a9\u624b\u548c\u4f1a\u8bae\u8bb0\u5f55\u5904\u7406\u4e24\u4e2a\u573a\u666f\u5165\u624b\u3002\u8fd9\u4e24\u4e2a\u573a\u666f\u4e0d\u6d89\u53ca\u8bbe\u8ba1\u672c\u4f53\uff0c\u4e0d\u4f1a\u5f15\u8d77\u8bbe\u8ba1\u5e08\u7684\u62b5\u89e6\uff0c\u4e14\u80fd\u591f\u5feb\u901f\u4ea7\u751f\u53ef\u91cf\u5316\u7684\u6548\u7387\u63d0\u5347\u6548\u679c\uff0c\u6709\u52a9\u4e8e\u5efa\u7acb\u5185\u90e8\u5bf9AI\u5de5\u5177\u7684\u4fe1\u5fc3\u3002<\/p>\n\n\n\n

\u7b2c\u4e8c\u9636\u6bb5\uff083\u81f39\u4e2a\u6708\uff09\uff1a\u5728\u5355\u70b9\u6210\u529f\u7684\u57fa\u7840\u4e0a\uff0c\u63a8\u8fdb\u5de5\u4f5c\u6d41\u7684\u7eb5\u5411\u5ef6\u4f38\u2014\u2014\u5c06\u89c4\u8303\u67e5\u8be2\u52a9\u624b\u4e0eBIM\u53c2\u6570\u63d0\u53d6\u6253\u901a\uff0c\u5f62\u6210\u521d\u6b65\u7684\u81ea\u52a8\u5316\u89c4\u8303\u5ba1\u67e5\u80fd\u529b\uff1b\u540c\u65f6\u5f15\u5165\u9020\u4ef7\u667a\u80fd\u4f30\u7b97\u548c\u56fe\u7eb8\u6807\u6ce8\u4e00\u81f4\u6027\u68c0\u67e5\u7b49\u9644\u52a0\u573a\u666f\u3002<\/p>\n\n\n\n

\u7b2c\u4e09\u9636\u6bb5\uff089\u81f324\u4e2a\u6708\uff09\uff1a\u6784\u5efa\u5b8c\u6574\u7684\u9879\u76ee\u5168\u751f\u547d\u5468\u671f\u667a\u80fd\u5de5\u4f5c\u6d41\uff0c\u5b9e\u73b0\u4ece\u9879\u76ee\u542f\u52a8\u5230\u65bd\u5de5\u56fe\u4ea4\u4ed8\u7684\u5168\u6d41\u7a0bAI\u8f85\u52a9\u3002\u5728\u6b64\u9636\u6bb5\uff0c\u5e94\u7740\u91cd\u5efa\u7acbAI\u5de5\u4f5c\u6d41\u4ea7\u51fa\u7684\u8d28\u91cf\u8bc4\u4f30\u673a\u5236\u548c\u6301\u7eed\u6539\u8fdb\u673a\u5236\u3002<\/p>\n\n\n\n

11.2 \u5173\u952e\u98ce\u9669\u4e0e\u5e94\u5bf9\u63aa\u65bd<\/strong><\/strong><\/h2>\n\n\n\n

\u6570\u636e\u5b89\u5168\u98ce\u9669\uff1a\u5efa\u7b51\u8bbe\u8ba1\u9879\u76ee\u5f80\u5f80\u5305\u542b\u5ba2\u6237\u654f\u611f\u4fe1\u606f\u548c\u5546\u4e1a\u673a\u5bc6\uff0c\u5fc5\u987b\u5bf9\u6240\u6709AI\u5de5\u5177\u8fdb\u884c\u79c1\u6709\u5316\u90e8\u7f72\u6216\u6570\u636e\u52a0\u5bc6\u5904\u7406\uff0c\u7981\u6b62\u5c06\u8bbe\u8ba1\u6570\u636e\u4f20\u8f93\u81f3\u672a\u7ecf\u6388\u6743\u7684\u7b2c\u4e09\u65b9\u670d\u52a1\u3002n8n\u548cDify\u5747\u652f\u6301\u5b8c\u5168\u79c1\u6709\u5316\u90e8\u7f72\uff0c\u662f\u89c4\u907f\u6570\u636e\u98ce\u9669\u7684\u4f18\u5148\u9009\u62e9\u3002<\/p>\n\n\n\n

AI\u53ef\u9760\u6027\u98ce\u9669\uff1aAI\u751f\u6210\u5185\u5bb9\u7684\u9519\u8bef\u7387\u4ecd\u663e\u8457\u9ad8\u4e8e\u4e13\u4e1a\u4eba\u5458\uff0c\u5c24\u5176\u5728\u6d89\u53ca\u89c4\u8303\u5224\u65ad\u7b49\u9ad8\u98ce\u9669\u573a\u666f\u65f6\uff0c\u5fc5\u987b\u5efa\u7acb”AI\u5efa\u8bae+\u4eba\u5de5\u786e\u8ba4”\u7684\u53cc\u91cd\u5ba1\u6838\u673a\u5236\uff0c\u4e25\u7981AI\u8f93\u51fa\u76f4\u63a5\u8fdb\u5165\u6b63\u5f0f\u6587\u4ef6\u3002\u7cfb\u7edf\u67b6\u6784\u4e0a\u5e94\u660e\u786e\u6807\u6ce8\u6240\u6709AI\u751f\u6210\u5185\u5bb9\uff0c\u4fdd\u6301\u53ef\u8ffd\u6eaf\u6027\u3002<\/p>\n\n\n\n

\u7ec4\u7ec7\u53d8\u9769\u963b\u529b\uff1aAI\u5de5\u5177\u7684\u5f15\u5165\u5f80\u5f80\u4f1a\u5f15\u53d1\u90e8\u5206\u5458\u5de5\u7684\u5de5\u4f5c\u5b89\u5168\u611f\u7126\u8651\u3002\u7ba1\u7406\u5c42\u5e94\u660e\u786e\u5c06AI\u5b9a\u4f4d\u4e3a”\u6548\u7387\u500d\u589e\u5de5\u5177”\u800c\u975e”\u4eba\u5458\u66ff\u4ee3\u5de5\u5177”\uff0c\u901a\u8fc7\u57f9\u8bad\u8d4b\u80fd\u548c\u5178\u578b\u6210\u529f\u6848\u4f8b\u7684\u4f20\u64ad\uff0c\u9010\u6b65\u5efa\u7acb\u7ec4\u7ec7\u5bf9AI\u5de5\u5177\u7684\u63a5\u53d7\u5ea6\u3002<\/p>\n\n\n\n

11.3 \u6548\u76ca\u8bc4\u4f30\u6846\u67b6<\/strong><\/strong><\/h2>\n\n\n\n

\u5efa\u8bae\u4ece\u4ee5\u4e0b\u7ef4\u5ea6\u91cf\u5316AI\u5de5\u4f5c\u6d41\u7684\u5b9e\u65bd\u6548\u76ca\uff1a\u65f6\u95f4\u6548\u76ca\uff08\u5404\u7c7b\u4efb\u52a1\u7684\u5b8c\u6210\u65f6\u95f4\u7f29\u77ed\u6bd4\u4f8b\uff09\u3001\u8d28\u91cf\u6548\u76ca\uff08\u56fe\u7eb8\u9519\u8bef\u7387\u3001\u5ba1\u56fe\u4e0d\u5408\u683c\u7387\u7684\u4e0b\u964d\u6bd4\u4f8b\uff09\u3001\u5ba2\u6237\u6ee1\u610f\u5ea6\uff08\u65b9\u6848\u6c9f\u901a\u6548\u7387\u7684\u63d0\u5347\uff09\u3001\u77e5\u8bc6\u8d44\u4ea7\u79ef\u7d2f\uff08\u77e5\u8bc6\u5e93\u89c4\u6a21\u548c\u8d28\u91cf\u7684\u6301\u7eed\u589e\u957f\uff09\u3002\u5b9a\u671f\u7684\u6548\u76ca\u8bc4\u4f30\u4e0d\u4ec5\u6709\u52a9\u4e8e\u8bc1\u660e\u6295\u8d44\u4ef7\u503c\uff0c\u4e5f\u80fd\u8bc6\u522b\u5de5\u4f5c\u6d41\u4e2d\u9700\u8981\u4f18\u5316\u7684\u8584\u5f31\u73af\u8282\u3002<\/p>\n\n\n\n

\u5341\u4e8c\u3001\u524d\u6cbf\u5c55\u671b\uff1a\u4ece\u5de5\u5177\u8f85\u52a9\u5230\u8ba4\u77e5\u534f\u4f5c<\/strong><\/strong><\/h1>\n\n\n\n

12.1 \u5f53\u524d\u8303\u5f0f\u7684\u5c40\u9650\u6027<\/strong><\/strong><\/h2>\n\n\n\n

\u672c\u6587\u6240\u63cf\u8ff0\u7684\u5e94\u7528\u65b9\u5411\uff0c\u672c\u8d28\u4e0a\u90fd\u5c5e\u4e8e”AI\u4f5c\u4e3a\u5de5\u5177”\u7684\u8303\u5f0f\u2014\u2014AI\u88ab\u7528\u4e8e\u81ea\u52a8\u5316\u5177\u4f53\u4efb\u52a1\u3001\u68c0\u7d22\u76f8\u5173\u77e5\u8bc6\u3001\u751f\u6210\u53ef\u9009\u65b9\u6848\uff0c\u800c\u6838\u5fc3\u7684\u8bbe\u8ba1\u5224\u65ad\u548c\u521b\u610f\u51b3\u7b56\u4ecd\u7531\u4eba\u7c7b\u5efa\u7b51\u5e08\u4e3b\u5bfc\u3002\u8fd9\u4e00\u8303\u5f0f\u5728\u73b0\u9636\u6bb5\u662f\u5408\u7406\u7684\uff0c\u4e5f\u662f\u8d1f\u8d23\u4efb\u7684\uff0c\u56e0\u4e3a\u5f53\u524dAI\u7cfb\u7edf\u5728\u6d89\u53ca\u4ef7\u503c\u5224\u65ad\u3001\u6587\u5316\u654f\u611f\u6027\u3001\u4f26\u7406\u6743\u8861\u7b49\u6df1\u5c42\u5efa\u7b51\u95ee\u9898\u4e0a\u4ecd\u5b58\u5728\u660e\u663e\u4e0d\u8db3\u3002<\/p>\n\n\n\n

12.2 \u9762\u5411\u8ba4\u77e5\u534f\u4f5c\u7684\u672a\u6765\u67b6\u6784<\/strong><\/strong><\/h2>\n\n\n\n

\u7136\u800c\uff0c\u968f\u7740\u5927\u578b\u8bed\u8a00\u6a21\u578b\u80fd\u529b\u7684\u6301\u7eed\u63d0\u5347\u548c\u591a\u6a21\u6001\u7406\u89e3\u7684\u6df1\u5316\uff0c\u4e00\u79cd\u66f4\u9ad8\u5c42\u6b21\u7684”AI\u4e0e\u4eba\u7c7b\u7684\u8ba4\u77e5\u534f\u4f5c”\u6a21\u5f0f\u6b63\u5728\u9010\u6e10\u6210\u4e3a\u53ef\u80fd\u3002<\/p>\n\n\n\n

Oxman\uff082017\uff09\u5728\u5176\u8bba\u6587\u4e2d\u63d0\u51fa\u4e86”\u8ba4\u77e5\u534f\u4f5c\u8bbe\u8ba1”\uff08Cognitive Co-Design\uff09\u7684\u524d\u77bb\u6027\u6982\u5ff5\uff0c\u63cf\u8ff0\u4e86\u4e00\u79cdAI\u4e0e\u5efa\u7b51\u5e08\u6df1\u5ea6\u534f\u540c\u7684\u8bbe\u8ba1\u8fc7\u7a0b\uff1aAI\u4e0d\u4ec5\u80fd\u591f\u6267\u884c\u6307\u4ee4\uff0c\u8fd8\u80fd\u591f\u7406\u89e3\u8bbe\u8ba1\u610f\u56fe\u3001\u611f\u77e5\u4f7f\u7528\u8005\u9700\u6c42\u3001\u9884\u5224\u793e\u4f1a\u5f71\u54cd\uff0c\u5728\u8bbe\u8ba1\u8fc7\u7a0b\u4e2d\u4e3b\u52a8\u63d0\u51fa\u95ee\u9898\u3001\u8bc6\u522b\u6f5c\u5728\u77db\u76fe\u3001\u5efa\u8bae\u521b\u65b0\u65b9\u5411\u3002\u5728\u8fd9\u79cd\u6a21\u5f0f\u4e0b\uff0c\u5efa\u7b51\u8bbe\u8ba1\u4e0d\u518d\u662f\u5efa\u7b51\u5e08\u7684\u72ec\u89d2\u620f\uff0c\u800c\u662f\u4eba\u4e0eAI\u5171\u540c\u53c2\u4e0e\u7684\u521b\u9020\u6027\u534f\u4f5c\u8fc7\u7a0b\u3002<\/p>\n\n\n\n

Achiam\u7b49\u4eba\uff082023\uff09\u5728OpenAI\u53d1\u5e03\u7684GPT-4\u6280\u672f\u62a5\u544a\u4e2d\u5c55\u793a\u4e86\u5927\u578b\u8bed\u8a00\u6a21\u578b\u5728\u4e13\u4e1a\u6d4b\u8bd5\u4e2d\u7684\u8d85\u8d8a\u4eba\u7c7b\u5e73\u5747\u6c34\u5e73\u7684\u8868\u73b0\uff0c\u8fd9\u8868\u660e\u9762\u5411\u8ba4\u77e5\u534f\u4f5c\u7684\u6280\u672f\u6761\u4ef6\u6b63\u5728\u5feb\u901f\u6210\u719f\u3002\u9884\u8ba1\u5728\u672a\u67655\u81f310\u5e74\u5185\uff0c\u5efa\u7b51\u8bbe\u8ba1\u9886\u57df\u5c06\u51fa\u73b0\u771f\u6b63\u610f\u4e49\u4e0a\u7684AI\u8bbe\u8ba1\u534f\u4f5c\u8005\u2014\u2014\u80fd\u591f\u4e0e\u5efa\u7b51\u5e08\u8fdb\u884c\u6df1\u5ea6\u7684\u521b\u4f5c\u5bf9\u8bdd\uff0c\u5728\u7406\u89e3\u6587\u8109\u3001\u5386\u53f2\u3001\u6587\u5316\u3001\u4f7f\u7528\u8005\u9700\u6c42\u7684\u57fa\u7840\u4e0a\uff0c\u5171\u540c\u63a8\u8fdb\u8bbe\u8ba1\u65b9\u6848\u7684\u53d1\u5c55\u3002<\/p>\n\n\n\n

12.3 \u884c\u4e1a\u751f\u6001\u7684\u91cd\u6784<\/strong><\/strong><\/h2>\n\n\n\n

\u8fd9\u4e00\u8d8b\u52bf\u5c06\u6df1\u523b\u91cd\u6784\u5efa\u7b51\u8bbe\u8ba1\u884c\u4e1a\u7684\u751f\u6001\u683c\u5c40\u3002\u672a\u6765\u7684\u7ade\u4e89\u4f18\u52bf\u5c06\u4e0d\u518d\u5355\u7eaf\u6765\u81ea\u4e2a\u4eba\u7684\u8bbe\u8ba1\u624d\u534e\u6216\u8bbe\u8ba1\u9662\u7684\u89c4\u6a21\uff0c\u800c\u5728\u5f88\u5927\u7a0b\u5ea6\u4e0a\u6765\u81ea\u4e8e\u662f\u5426\u62e5\u6709\u9ad8\u8d28\u91cf\u7684\u79c1\u6709\u77e5\u8bc6\u8d44\u4ea7\uff08\u5386\u53f2\u9879\u76ee\u6570\u636e\u5e93\u3001\u89c4\u8303\u77e5\u8bc6\u5e93\u3001\u5178\u578b\u6848\u4f8b\u5e93\uff09\u548c\u9ad8\u6548\u7684AI\u5de5\u4f5c\u6d41\u67b6\u6784\u3002\u90a3\u4e9b\u8f83\u65e9\u5f00\u59cb\u79ef\u7d2f\u6570\u5b57\u5316\u77e5\u8bc6\u8d44\u4ea7\u3001\u8f83\u65e9\u5efa\u7acbAI\u534f\u4f5c\u5de5\u4f5c\u6d41\u7684\u8bbe\u8ba1\u9662\uff0c\u5c06\u5728\u672a\u6765\u7ade\u4e89\u4e2d\u62e5\u6709\u7ed3\u6784\u6027\u4f18\u52bf\uff0c\u800c\u8fd9\u4e00\u5148\u53d1\u4f18\u52bf\u5c06\u968f\u65f6\u95f4\u7684\u63a8\u79fb\u4e0d\u65ad\u5f3a\u5316\uff0c\u5f62\u6210\u8d8a\u6765\u8d8a\u96be\u4ee5\u903e\u8d8a\u7684\u62a4\u57ce\u6cb3\u3002<\/p>\n\n\n\n

\u5341\u4e09\u3001\u7ed3\u8bba<\/strong><\/strong><\/h1>\n\n\n\n

\u672c\u6587\u7cfb\u7edf\u68b3\u7406\u4e86n8n\u5de5\u4f5c\u6d41\u5f15\u64ce\u3001Dify\u5927\u6a21\u578b\u5e94\u7528\u5e73\u53f0\u53ca\u591a\u6a21\u6001AI\u5de5\u5177\u5728\u5efa\u7b51\u8bbe\u8ba1\u9886\u57df\u7684\u516b\u5927\u521b\u65b0\u5e94\u7528\u65b9\u5411\uff0c\u5e76\u7ed3\u5408\u76f8\u5173\u5b66\u672f\u7814\u7a76\u8bba\u8bc1\u4e86\u5404\u65b9\u5411\u7684\u6280\u672f\u53ef\u884c\u6027\u4e0e\u5b9e\u8df5\u4ef7\u503c\u3002\u7814\u7a76\u8868\u660e\uff1a<\/p>\n\n\n\n

\u7b2c\u4e00\uff0c\u5efa\u7b51\u8bbe\u8ba1\u884c\u4e1a\u6b63\u5904\u4e8eAI\u8f85\u52a9\u8bbe\u8ba1\u7684\u5173\u952e\u7a97\u53e3\u671f\u3002\u4ee5\u5f80\u88ab\u8ba4\u4e3a\u662fAI\u96be\u4ee5\u6d89\u8db3\u7684\u521b\u610f\u5224\u65ad\u3001\u6cd5\u89c4\u89e3\u8bfb\u548c\u4e13\u4e1a\u534f\u4f5c\u7b49\u6838\u5fc3\u5de5\u4f5c\uff0c\u5df2\u7ecf\u5f00\u59cb\u88ab\u65b0\u4e00\u4ee3AI\u5de5\u5177\u6709\u6548\u8d4b\u80fd\u3002<\/p>\n\n\n\n

\u7b2c\u4e8c\uff0c”n8n\u5de5\u4f5c\u6d41\u7f16\u6392 + Dify\u77e5\u8bc6\u5e93\u95ee\u7b54 + \u4e13\u4e1aAI\u6267\u884c\u5668”\u7684\u4e09\u4f4d\u4e00\u4f53\u67b6\u6784\uff0c\u4e3a\u5efa\u7b51\u8bbe\u8ba1\u9662\u63d0\u4f9b\u4e86\u4e00\u6761\u6280\u672f\u95e8\u69db\u76f8\u5bf9\u8f83\u4f4e\u3001\u90e8\u7f72\u7075\u6d3b\u3001\u6570\u636e\u5b89\u5168\u7684AI\u5de5\u4f5c\u6d41\u5b9e\u65bd\u8def\u5f84\u3002<\/p>\n\n\n\n

\u7b2c\u4e09\uff0c\u667a\u80fd\u5de5\u4f5c\u6d41\u7684\u6838\u5fc3\u4ef7\u503c\u4e0d\u4ec5\u5728\u4e8e\u6548\u7387\u63d0\u5347\uff0c\u66f4\u5728\u4e8e\u77e5\u8bc6\u7684\u6c89\u6dc0\u4e0e\u4f20\u627f\u2014\u2014\u5c06\u4e2a\u4f53\u7ecf\u9a8c\u548c\u7ec4\u7ec7\u77e5\u8bc6\u7cfb\u7edf\u5316\u3001\u53ef\u68c0\u7d22\u5316\uff0c\u4ece\u800c\u6301\u7eed\u63d0\u5347\u6574\u4f53\u8bbe\u8ba1\u8d28\u91cf\uff0c\u964d\u4f4e\u5bf9\u4e2a\u522b\u660e\u661f\u8bbe\u8ba1\u5e08\u7684\u4f9d\u8d56\u3002<\/p>\n\n\n\n

\u7b2c\u56db\uff0c\u5efa\u7b51\u8bbe\u8ba1\u884c\u4e1a\u7684AI\u8f6c\u578b\u9700\u8981\u5faa\u5e8f\u6e10\u8fdb\uff0c\u4ee5”\u5355\u70b9\u7a81\u7834\u2014\u6d41\u7a0b\u5ef6\u4f38\u2014\u751f\u6001\u6784\u5efa”\u4e3a\u5b9e\u65bd\u8def\u5f84\uff0c\u5728\u98ce\u9669\u53ef\u63a7\u7684\u524d\u63d0\u4e0b\u7a33\u6b65\u63a8\u8fdb\uff0c\u907f\u514d\u56e0\u8fc7\u5ea6\u8ffd\u6c42\u5168\u9762\u81ea\u52a8\u5316\u800c\u5f15\u5165\u65b0\u7684\u4e0d\u786e\u5b9a\u6027\u3002<\/p>\n\n\n\n

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\u53c2\u8003\u6587\u732e<\/strong><\/strong><\/h1>\n\n\n\n

[1] Chaillou, S. (2020). AI + Architecture: Towards a New Approach. Harvard GSD Thesis.<\/p>\n\n\n\n

[2] Eastman, C., Teicholz, P., Sacks, R., & Liston, K. (2011). BIM Handbook: A Guide to Building Information Modeling. John Wiley & Sons.<\/p>\n\n\n\n

[3] Gao, Y., Xiong, Y., Gao, X., et al. (2023). Retrieval-Augmented Generation for Large Language Models: A Survey. arXiv preprint arXiv:2312.10997.<\/p>\n\n\n\n

[4] Zhong, B., Pan, X., Love, P., et al. (2022). Legal Compliance Checking for Construction Using Natural Language Processing. Automation in Construction, 134, 104070.<\/p>\n\n\n\n

[5] Lyu, X., Chen, J., & Wang, T. (2024). Multi-Agent Collaboration for Architectural Design Generation. Proceedings of the 2024 ACM Symposium on Computational Fabrication.<\/p>\n\n\n\n

[6] Wortmann, T. (2017). Model-based Optimisation for Architectural Design: Optimising Daylight and Geometry for a Parametric Building Skin. Architectural Science Review, 60(3), 165-172.<\/p>\n\n\n\n

[7] Dogan, T., Reinhart, C., & Michalatos, P. (2017). Shoeboxer: An Algorithm for Abstraction and Simulation Reductionism for Early Stage Passive Building Energy Design. Energy and Buildings, 121, 210-220.<\/p>\n\n\n\n

[8] Sacks, R., Koskela, L., Dave, B., & Owen, R. (2010). Interaction of Lean and Building Information Modeling in Construction. Journal of Construction Engineering and Management, 136(9), 968-980.<\/p>\n\n\n\n

[9] Rausch, C., Sanchez, B., Meda, L., & Haas, C. (2020). Quantifying and Benchmarking Constructability of Construction Details. Automation in Construction, 109, 102955.<\/p>\n\n\n\n

[10] Oxman, R. (2017). Thinking Design: Computational Design in the Age of Digital Drawing. Building and Environment, 115, 290-300.<\/p>\n\n\n\n

[11] Guo, H., Chen, L., & Liu, T. (2023). Deep Learning for Heritage Architecture Recognition: A Multi-Modal Approach. Heritage Science, 11(1), 1-18.<\/p>\n\n\n\n

[12] Zheng, X., Lu, M., & Olofsson, T. (2023). Machine Learning-Based Construction Cost Estimation: A Systematic Review. Journal of Construction Engineering and Management, 149(4), 03123001.<\/p>\n\n\n\n

[13] McKinsey Global Institute. (2017). A Future That Works: Automation, Employment, and Productivity. McKinsey & Company.<\/p>\n\n\n\n

[14] Wang, Z., Kim, I., & Lim, S. (2023). LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. arXiv preprint arXiv:2305.15393.<\/p>\n\n\n\n

[15] Achiam, J., Adler, S., Agarwal, S., et al. (2023). GPT-4 Technical Report. arXiv preprint arXiv:2303.08774.<\/p>\n\n\n\n

[16] Building and Construction Authority Singapore. (2023). CORENET X Annual Report 2022-2023. BCA Publications.<\/p>\n\n\n\n

[17] \u4f4f\u623f\u548c\u57ce\u4e61\u5efa\u8bbe\u90e8. (2022). \u5efa\u7b51\u4fe1\u606f\u6a21\u578b\u5e94\u7528\u7edf\u4e00\u6807\u51c6\uff08GB\/T 51212-2022\uff09. \u4e2d\u56fd\u5efa\u7b51\u5de5\u4e1a\u51fa\u7248\u793e.<\/p>\n\n\n\n

[18] Frazer, J. (1995). An Evolutionary Architecture. Architectural Association Publications.<\/p>\n\n\n\n

[19] Negroponte, N. (1975). Soft Architecture Machines. MIT Press.<\/p>\n\n\n\n

[20] Woodbury, R. (2010). Elements of Parametric Design. Routledge.<\/p>\n","protected":false},"excerpt":{"rendered":"

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