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\u5bfc\u8bfb<\/h2>\n\n\n\n

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\u8be5\u6210\u679c\u53d1\u8868\u5728\u300aLight: Science & Applications<\/em><\/strong><\/em><\/strong><\/em><\/strong>\u300b\uff0c\u9898\u4e3a\u201cTowards a physics-informed network paradigm with data generation and background noise removal for different distributed acoustic sensing applications<\/em><\/strong><\/em><\/strong><\/em><\/strong>\u201d\u3002\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\u7684\u4e07\u9633\u9633\u52a9\u7406\u6559\u6388\u4e3a\u8bba\u6587\u7b2c\u4e00\u4f5c\u8005\uff0c\u4f55\u7956\u6e90\u6559\u6388\u4e3a\u901a\u8baf\u4f5c\u8005\u3002<\/p>\n\n\n\n

\u6280\u672f\u96be\u70b9\u4e0e\u6311\u6218<\/strong><\/h2>\n\n\n\n

DAS \u7cfb\u7edf\u5b9e\u9645\u5e94\u7528\u65f6\u5176\u4fe1\u53f7\u5904\u7406\u7b97\u6cd5\u9762\u4e34\u4e24\u5927\u6838\u5fc3\u6311\u6218\uff1a\u4e00\u662f\u73b0\u573a\u76ee\u6807\u4e8b\u4ef6\u6570\u636e\u83b7\u53d6\u56f0\u96be\u4e14\u6570\u91cf\u6781\u4e3a\u6709\u9650\uff0c\u5bfc\u81f4\u96be\u4ee5\u8fdb\u884c\u9ad8\u6cdb\u5316\u6027\u7684\u4fe1\u53f7\u5904\u7406\u7b97\u6cd5\u8bbe\u8ba1\u548c\u8bad\u7ec3\uff1b\u4e8c\u662f\u5f3a\u80cc\u666f\u73af\u5883\u566a\u58f0\u5e72\u6270\u4e25\u91cd\uff0c\u4f20\u7edf\u53bb\u566a\u7b97\u6cd5\u96be\u4ee5\u6709\u6548\u63d0\u53d6\u76ee\u6807\u4fe1\u53f7\uff0c\u5f71\u54cd\u540e\u7eed\u4e8b\u4ef6\u8bc6\u522b\u7b49\u4fe1\u53f7\u89e3\u8bd1\u4efb\u52a1\u6027\u80fd\u3002<\/p>\n\n\n\n

\u521b\u65b0\u7814\u7a76<\/strong><\/h2>\n\n\n\n

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\"\"<\/figure><\/div>\n\n\n\n

\u56fe1 PIGN\u7684\u5de5\u4f5c\u539f\u7406\u793a\u610f\u56fe\u3002\uff08a\uff09DAS\u4e8b\u4ef6\u6570\u636e\u7684\u7279\u5f81\u51fd\u6570\u83b7\u53d6\u793a\u610f\u56fe\u3002\u5c06DAS\u4e8b\u4ef6\u6570\u636e\u6295\u5f71\u5230\u4e0d\u540c\u7ef4\u5ea6\uff0c\u7ed3\u5408\u7269\u7406\u6a21\u578b\u4e0e\u4e13\u4e1a\u7ecf\u9a8c\uff0c\u53ef\u5f97\u5230\u5404\u7ef4\u5ea6\u4e0b\u4e8b\u4ef6\u5bf9\u5e94\u7684\u7279\u5f81\u51fd\u6570\uff0c\u8fdb\u800c\u4ece\u4e2d\u5bfc\u51fa\u5355\u4e2a\u4e8b\u4ef6\u7684\u7279\u5f81\u66f2\u7ebf\u3002\uff08b\uff09 PIGN\u7684\u7f51\u7edc\u7ed3\u6784\u4e0e\u8bad\u7ec3\u8fc7\u7a0b\u3002\u8bad\u7ec3\u65f6\uff0c\u635f\u5931\u51fd\u6570\u901a\u8fc7\u8bc4\u4f30\u8f93\u51fa\u56fe\u50cf\u7684\u7279\u5f81\u66f2\u7ebf\u4e0e\u76ee\u6807\u7279\u5f81\u66f2\u7ebf\u4e4b\u95f4\u7684\u5dee\u8ddd\u6765\u5b9a\u4e49\uff0c\u540c\u65f6\u878d\u5408\u4e86DAS\u7cfb\u7edf\u4e0e\u5b9e\u9645\u6761\u4ef6\u7684\u7ea6\u675f\u3002<\/em><\/p>\n\n\n\n

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\"\"<\/figure><\/div>\n\n\n\n

\u56fe2 \u57fa\u4e8e\u7269\u7406\u4fe1\u606f\u7684DAS\u795e\u7ecf\u7f51\u7edc\u8303\u5f0f\u3002 PIGN\uff08\u57fa\u4e8e\u7269\u7406\u4fe1\u606f\u7684\u751f\u6210\u7f51\u7edc\uff09\u3002\u5728\u8be5\u7f51\u7edc\u8303\u5f0f\u4e2d\uff0cPIGN\u3001\u53bb\u566a\u7f51\u7edc\u548c\u5206\u7c7b\u7f51\u7edc\u7684\u8bad\u7ec3\u5747\u4e0d\u9700\u8981\u4efb\u4f55\u771f\u5b9e\u4e8b\u4ef6\u6570\u636e\u3002\u5176\u4e2d\uff0cPIGN\u7528\u4e8e\u751f\u6210\u6570\u636e\uff0c\u53bb\u566a\u7f51\u7edc\u7528\u4e8e\u53bb\u9664\u80cc\u666f\u566a\u58f0\uff0c\u5206\u7c7b\u7f51\u7edc\u7528\u4e8e\u4e8b\u4ef6\u8bc6\u522b\u3002<\/em><\/p>\n\n\n\n

\u7814\u7a76\u4eae\u70b9<\/strong><\/h2>\n\n\n\n
  • \u7269\u7406\u9a71\u52a8<\/strong> DAS<\/strong> \u6570\u636e\u751f\u6210\uff1a<\/strong> \u5f00\u53d1 PIGN \uff0c\u6839\u636e\u4e8b\u4ef6\u7684\u65f6\u7a7a\u7279\u5f81\u548c\u4e13\u5bb6\u7ecf\u9a8c\u8bad\u7ec3\u6570\u636e\u751f\u6210\u7f51\u7edc\uff0c\u4ea7\u751f\u6a21\u62df DAS \u6570\u636e\uff0c\u89e3\u51b3\u6570\u636e\u7a00\u7f3a\u95ee\u9898\u3002<\/li>
  • \u566a\u58f0\u53bb\u9664\u80fd\u529b\uff1a<\/strong> \u8bad\u7ec3\u53bb\u566a\u7f51\u7edc\uff0c\u6709\u6548\u6291\u5236\u590d\u6742\u73af\u5883\u566a\u58f0\uff0c\u4fdd\u7559\u5173\u952e\u4e8b\u4ef6\u4fe1\u53f7\uff0c\u63d0\u5347\u5206\u7c7b\u7f51\u7edc\u6027\u80fd\u3002<\/li>
  • \u4e8b\u4ef6\u51c6\u786e\u8bc6\u522b\uff1a<\/strong> \u5728\u5e26\u5f0f\u8f93\u9001\u673a\u6545\u969c\u76d1\u6d4b\u5b9e\u5730\u6d4b\u8bd5\u4e2d\uff0c\u65e0\u9700\u771f\u5b9e\u4e8b\u4ef6\u6570\u636e\uff0c\u4ec5\u4f7f\u7528 PIGN \u751f\u6210\u6570\u636e\u8bad\u7ec3\u7684\u964d\u566a\u548c\u5206\u7c7b\u7f51\u7edc\u6700\u7ec8\u5b9e\u73b0 91.8% \u7684\u6545\u969c\u8bc6\u522b\u51c6\u786e\u7387\uff0c\u4f18\u4e8e\u5c0f\u6837\u672c\u771f\u5b9e\u8bad\u7ec3\u6570\u636e\u4e0b\u7684\u4f20\u7edf\u6570\u636e\u9a71\u52a8\u7f51\u7edc\u53ca\u4eba\u5de5\u8bbe\u8ba1\u7b97\u6cd5\u3002<\/li>
  • \u8de8\u573a\u666f\u63a8\u5e7f\uff1a<\/strong> \u5f97\u76ca\u4e8e\u7269\u7406\u89c4\u5f8b\u7684\u4e00\u81f4\u6027\uff0c\u7269\u7406\u4fe1\u606f\u9a71\u52a8\u7684\u7f51\u7edc\u6a21\u578b\u5728\u76f8\u540c\u5e94\u7528\u4e2d\u7684\u4e0d\u540c\u5de5\u4f5c\u73b0\u573a\u4e2d\u663e\u793a\u51fa\u5f3a\u5927\u7684\u6cdb\u5316\u80fd\u529b\u3002\u5728\u5e26\u5f0f\u8f93\u9001\u673a\u6545\u969c\u76d1\u6d4b\u5b9e\u9a8c\u4e2d\uff0c\u63d0\u51fa\u7684\u7269\u7406\u9a71\u52a8\u7f51\u7edc\u6a21\u578b\u5728\u4e24\u4e2a\u4e0d\u540c\u5de5\u4f5c\u73b0\u573a\u4e2d\u53ef\u8fdb\u884c\u76f4\u63a5\u90e8\u7f72\u5e76\u5b9e\u73b0\u6545\u969c\u8bc6\u522b\u3002<\/li><\/ul>\n\n\n\n

    \u603b\u7ed3\u4e0e\u5c55\u671b<\/strong><\/h2>\n\n\n\n

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    \u8bba\u6587\u4fe1\u606f<\/strong><\/h2>\n\n\n\n

    Wan, Y., Wang, H., Yu, X. et al.<\/em> Towards a physics-informed network paradigm with data generation and background noise removal for different distributed acoustic sensing applications. Light Sci Appl<\/em>15<\/strong>, 281 (2026).<\/p>\n\n\n\n

    <\/p>\n\n\n\n

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