{"id":3217,"date":"2025-09-17T19:57:35","date_gmt":"2025-09-17T11:57:35","guid":{"rendered":"https:\/\/moresourcing.com\/a-maintenance-revolution-reducing-downtime-with-ai-tools\/"},"modified":"2025-09-17T19:57:35","modified_gmt":"2025-09-17T11:57:35","slug":"%e7%bb%b4%e6%8a%a4%e9%9d%a9%e5%91%bd-%e5%88%a9%e7%94%a8%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e5%b7%a5%e5%85%b7%e5%87%8f%e5%b0%91%e5%81%9c%e6%9c%ba%e6%97%b6%e9%97%b4","status":"publish","type":"post","link":"https:\/\/moresourcing.com\/zh\/%e7%bb%b4%e6%8a%a4%e9%9d%a9%e5%91%bd-%e5%88%a9%e7%94%a8%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e5%b7%a5%e5%85%b7%e5%87%8f%e5%b0%91%e5%81%9c%e6%9c%ba%e6%97%b6%e9%97%b4\/","title":{"rendered":"\u5229\u7528\u4eba\u5de5\u667a\u80fd\u5de5\u5177\u51cf\u5c11\u505c\u673a\u65f6\u95f4"},"content":{"rendered":"<p><\/p>\n<div>\n<div class=\"article-left-col\">\n<section class=\"article-topics\">\n<h4 class=\"article-topics__title\">\u4e3b\u9898<\/h4>\n<\/section>\n<section class=\"article-section\">\n<h4 class=\"article-section__title\">\u4e13\u680f<\/h4>\n<p>\n            \u6211\u4eec\u7684\u4e13\u5bb6\u4e13\u680f\u4f5c\u5bb6\u5c31\u73b0\u4ee3\u4f01\u4e1a\u548c\u7ba1\u7406\u8005\u9762\u4e34\u7684\u91cd\u8981\u95ee\u9898\u63d0\u4f9b\u610f\u89c1\u548c\u5206\u6790\u3002        <\/p>\n<p>        <a href=\"https:\/\/sloanreview.mit.edu\/series\/column\/\" class=\"article-section__link\"><\/p>\n<p>           \u672c\u7cfb\u5217\u4e2d\u7684\u66f4\u591a\u5185\u5bb9<br \/>\n                      <\/a><\/p>\n<\/section><\/div>\n<aside class=\"article-ad ad-300  ad-300x250 ad-desktop\">\n<\/aside>\n<aside class=\"article-ad ad-300  ad-300x250 ad-mobile\">\n<\/aside>\n<figure class=\"article-inline\">\n<img fetchpriority=\"high\" decoding=\"async\" width=\"1290\" height=\"860\" alt=\"\" class=\"wp-image-122792\" srcset=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2025\/09\/Reducing-Downtime-With-AI-Tools.jpg 1290w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Kesari-1290x860-1-300x200.jpg 300w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Kesari-1290x860-1-150x100.jpg 150w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Kesari-1290x860-1-768x512.jpg 768w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Kesari-1290x860-1-764x509.jpg 764w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Kesari-1290x860-1-382x255.jpg 382w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Kesari-1290x860-1-870x580.jpg 870w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Kesari-1290x860-1-435x290.jpg 435w\" data-lazy-sizes=\"(max-width: 1290px) 100vw, 1290px\" src=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2025\/09\/Reducing-Downtime-With-AI-Tools.jpg\"\/><img fetchpriority=\"high\" decoding=\"async\" width=\"1290\" height=\"860\" src=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2025\/09\/Reducing-Downtime-With-AI-Tools.jpg\" alt=\"\" class=\"wp-image-122792\" srcset=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2025\/09\/Reducing-Downtime-With-AI-Tools.jpg 1290w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Kesari-1290x860-1-300x200.jpg 300w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Kesari-1290x860-1-150x100.jpg 150w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Kesari-1290x860-1-768x512.jpg 768w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Kesari-1290x860-1-764x509.jpg 764w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Kesari-1290x860-1-382x255.jpg 382w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Kesari-1290x860-1-870x580.jpg 870w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Kesari-1290x860-1-435x290.jpg 435w\" sizes=\"(max-width: 1290px) 100vw, 1290px\"\/><figcaption>\n<p class=\"attribution\">Carolyn Geason-Beissel\/MIT SMR | Getty Images<\/p>\n<\/figcaption><\/figure>\n<div class=\"article-summary\"><strong class=\"article-summary__strong\">\u6458\u8981 <\/strong><\/p>\n<p>\u4eba\u5de5\u667a\u80fd\u5de5\u5177\u53ef\u4ee5\u5e2e\u52a9\u4f01\u4e1a\u6539\u5584\u8bbe\u5907\u548c\u57fa\u7840\u8bbe\u65bd\u7684\u7ef4\u62a4\uff0c\u5e76\u8f6c\u5411\u4e3b\u52a8\u53d1\u73b0\u548c\u89e3\u51b3\u95ee\u9898\uff0c\u800c\u4e0d\u4ec5\u4ec5\u662f\u5bf9\u95ee\u9898\u505a\u51fa\u53cd\u5e94\u3002\u4f46\u662f\uff0c\u60f3\u8981\u5b9e\u65bd\u9884\u6d4b\u6027\u7ef4\u62a4\u5de5\u5177\u7684\u9886\u5bfc\u8005\u5fc5\u987b\u89e3\u51b3\u4e09\u4e2a\u68d8\u624b\u7684\u96be\u9898\uff1a\u6570\u636e\u8d28\u91cf\u95ee\u9898\u3001\u4e0e\u4f20\u7edf\u7cfb\u7edf\u96c6\u6210\u7684\u95ee\u9898\u4ee5\u53ca\u6765\u81ea\u5458\u5de5\u7684\u6587\u5316\u963b\u529b\u3002\u8bf7\u53c2\u8003\u4ee5\u4e0b\u5173\u4e8e\u4eba\u673a\u534f\u4f5c\u7684\u5efa\u8bae\uff0c\u4ee5\u51cf\u5c11\u505c\u673a\u65f6\u95f4\u548c\u8fd0\u8425\u6210\u672c\u3002<\/p>\n<\/div>\n<p><span class=\"smr-leadin\">\u56db\u4e2a\u591a\u6708\u6765<\/span>\u5728\u7ebd\u7ea6\u5e02\u7684\u5730\u94c1\u5217\u8f66\u4e0a\uff0c\u6709\u516d\u4f4d\u4e0d\u540c\u5bfb\u5e38\u7684\u4e58\u5ba2\u3002\u4ed6\u4eec\u7684\u4efb\u52a1\u662f\uff1a\u9632\u6b62\u5730\u94c1\u707e\u96be\u3002\u4ece\u6e05\u6668\u5230\u6df1\u591c\uff0c\u8fd9\u4e9b\u4e58\u5ba2\u4e0d\u77e5\u75b2\u5026\u5730\u76d1\u63a7\u7740\u6bcf\u4e00\u6bb5\u65c5\u7a0b\uff0c\u5728\u57ce\u5e02\u5e9e\u5927\u7684\u94c1\u8def\u7f51\u7edc\u4e2d\u6355\u6349\u97f3\u9891\u548c\u632f\u52a8\u6570\u636e\u3002 <\/p>\n<p>\u8fd9\u4e9b\u52e4\u594b\u7684\u68c0\u67e5\u5458\u4e0d\u662f\u4eba\u7c7b\uff0c\u800c\u662f\u8c37\u6b4c Pixel \u667a\u80fd\u624b\u673a\u3002\u5b83\u4eec\u5b89\u88c5\u5728\u5730\u94c1 A \u53f7\u7ebf\u5217\u8f66\u4e0a\uff0c\u5c06\u4f20\u611f\u5668\u6570\u636e\u8f93\u5165\u4eba\u5de5\u667a\u80fd\u6a21\u578b\uff0c\u65e8\u5728\u4e3b\u52a8\u53d1\u73b0\u8f68\u9053\u7f3a\u9677\u3002\u4e8b\u5b9e\u8bc1\u660e\uff0c\u5728 665 \u82f1\u91cc\u7684\u94c1\u8def\u7f51\u7edc\u4e2d\uff0c\u4f20\u7edf\u7684\u4eba\u5de5\u68c0\u67e5\u6210\u672c\u9ad8\u3001\u8017\u65f6\u957f\uff0c\u800c\u4e14\u6548\u679c\u4e0d\u4f73\u3002\u7136\u800c\uff0c\u5728\u8fd9\u6b21\u4eba\u5de5\u667a\u80fd\u9a71\u52a8\u7684\u8bd5\u70b9\u4e2d\uff0c\u4f20\u611f\u5668\u6b63\u786e\u8bc6\u522b\u51fa\u4e86 92% \u7684\u7f3a\u9677\uff0c\u800c\u8fd9\u4e9b\u7f3a\u9677\u662f\u4eba\u5de5\u68c0\u67e5\u5458\u540e\u6765\u624b\u52a8\u53d1\u73b0\u7684\u3002 <\/p>\n<p>\"(\u300a\u4e16\u754c\u4eba\u6743\u5ba3\u8a00\u300b) <a href=\"https:\/\/www.wired.com\/story\/the-new-york-city-subway-is-using-google-pixels-to-sense-track-defects\/\" target=\"_blank\">\u5730\u94c1\u5b9e\u9a8c<\/a> 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\u73b0\u4ee3\u786c\u4ef6\u548c\u8f6f\u4ef6\u5de5\u5177\u73b0\u5728\u53ef\u4ee5\u901a\u8fc7\u5e94\u7528\u7a0b\u5e8f\u63a5\u53e3\u548c\u6570\u636e\u7ba1\u9053\u8f7b\u677e\u96c6\u6210\uff0c\u6700\u5927\u9650\u5ea6\u5730\u51cf\u5c11\u4e86\u4eba\u5de5\u5207\u6362\u7684\u9700\u8981\u3002\u8fd9\u79cd\u96c6\u6210\u53ef\u4ee5\u786e\u4fdd\u9884\u6d4b\u6027\u6d1e\u5bdf\u529b\u76f4\u63a5\u89e6\u53d1\u65e5\u5e38\u8fd0\u8425\u5de5\u4f5c\u6d41\u7a0b\u3002\u4f8b\u5982\uff0c\u51c6\u786e\u7684\u9884\u6d4b\u53ef\u4ee5\u89e6\u53d1\u81ea\u52a8\u7ef4\u62a4\u5de5\u5355\uff0c\u901a\u8fc7\u7cfb\u7edf\u8fdb\u884c\u4eba\u5de5\u64cd\u4f5c\u3002\u5229\u7528\u4eba\u5de5\u667a\u80fd\u6700\u5927\u9650\u5ea6\u5730\u51cf\u5c11\u9519\u8bef\u8b66\u62a5\u5e76\u89e3\u91ca\u9884\u6d4b\u7ed3\u679c\uff0c\u53ef\u5efa\u7acb\u64cd\u4f5c\u5458\u5bf9\u7b97\u6cd5\u7684\u4fe1\u4efb\u5e76\u63d0\u9ad8\u91c7\u7528\u7387\u3002 <\/p>\n<aside class=\"article-ad ad-300  ad-300x600 ad-desktop\">\n<\/aside>\n<aside class=\"article-ad ad-300  ad-300x250 ad-mobile\">\n<\/aside>\n<h3>\u4eba\u5de5\u667a\u80fd\u9a71\u52a8\u7684\u9884\u6d4b\u6027\u7ef4\u62a4\u5728\u884c\u52a8<\/h3>\n<p>\u8ba9\u6211\u4eec\u770b\u770b\u73b0\u5b9e\u4e16\u754c\u4e2d\u7684\u4e24\u4e2a\u4f8b\u5b50\uff0c\u770b\u770b\u9884\u6d4b\u6027\u7ef4\u62a4\u662f\u5982\u4f55\u6210\u4e3a\u73b0\u5b9e\u7684\u3002 <\/p>\n<h4>\u5b9d\u9a6c\u8ba9\u4f20\u9001\u5e26\u6301\u7eed\u8fd0\u8f6c<\/h4>\n<p><strong>\u95ee\u9898<\/strong> \u4f4d\u4e8e\u5fb7\u56fd\u96f7\u6839\u65af\u5821\u7684\u5b9d\u9a6c\u6c7d\u8f66\u5236\u9020\u5382\u9762\u4e34\u7740\u4e25\u5cfb\u7684\u6311\u6218\uff0c\u8f93\u9001\u7cfb\u7edf\u6545\u969c\u5bfc\u81f4\u88c5\u914d\u7ebf\u9891\u7e41\u505c\u5de5\uff0c\u4ee3\u4ef7\u9ad8\u6602\u3002\u8fd9\u4e9b\u6545\u969c\u5f71\u54cd\u4e86\u751f\u4ea7\u8fdb\u5ea6\uff0c\u589e\u52a0\u4e86\u8fd0\u8425\u6210\u672c\uff0c\u5f71\u54cd\u4e86\u6574\u4f53\u751f\u4ea7\u7387\u548c\u76c8\u5229\u80fd\u529b\u3002 <\/p>\n<p><strong>\u65b9\u6cd5\uff1a<\/strong> \u5b9d\u9a6c\u516c\u53f8\u90e8\u7f72\u4e86 <a href=\"https:\/\/www.press.bmwgroup.com\/global\/article\/detail\/T0438145EN\/smart-maintenance-using-artificial-intelligence?language=en\" target=\"_blank\">\u4eba\u5de5\u667a\u80fd\u9a71\u52a8\u7684\u9884\u6d4b\u6027\u7ef4\u62a4\u7cfb\u7edf<\/a> \u8be5\u7cfb\u7edf\u4f7f\u7528\u6765\u81ea\u4f20\u9001\u5e26\u7ec4\u4ef6\u7684\u73b0\u6709\u4f20\u611f\u5668\u6570\u636e\u3002\u8be5\u7cfb\u7edf\u5bf9\u5b9e\u65f6\u6570\u636e\u6d41\u8fdb\u884c\u6301\u7eed\u5206\u6790\uff0c\u4ee5\u53d1\u73b0\u7ec6\u5fae\u7684\u5f02\u5e38\u60c5\u51b5\uff0c\u5982\u529f\u8017\u7684\u610f\u5916\u6ce2\u52a8\u6216\u5f02\u5e38\u79fb\u52a8\uff0c\u4ece\u800c\u63d0\u793a\u6f5c\u5728\u7684\u6545\u969c\u3002 <\/p>\n<p><strong>\u89e3\u51b3\u65b9\u6848\u548c\u4f18\u52bf<\/strong> \u9884\u6d4b\u7cfb\u7edf\u53ca\u65f6\u53d1\u51fa\u8b66\u62a5\uff0c\u4f7f\u56e2\u961f\u80fd\u591f\u4e3b\u52a8\u7ba1\u7406\u6f5c\u5728\u6545\u969c\uff0c\u907f\u514d\u5927\u9762\u79ef\u505c\u673a\u3002\u8fd9\u4e00\u5e72\u9884\u63aa\u65bd\u907f\u514d\u4e86\u6bcf\u5e74\u8d85\u8fc7 500 \u5206\u949f\u7684\u4e2d\u65ad\u65f6\u95f4\uff0c\u786e\u4fdd\u4e86\u751f\u4ea7\u7684\u987a\u5229\u8fdb\u884c\u548c\u8f66\u8f86\u7684\u53ca\u65f6\u4ea4\u4ed8\u3002\u8bd5\u70b9\u9879\u76ee\u5e26\u6765\u7684\u53ef\u8861\u91cf\u6548\u76ca\u4fc3\u4f7f\u5b9d\u9a6c\u5728\u5176\u5168\u7403\u5236\u9020\u5de5\u5382\u4e2d\u5c06\u8fd9\u79cd\u65b9\u6cd5\u6807\u51c6\u5316\uff0c\u4ece\u800c\u63d0\u9ad8\u4e86\u53ef\u9760\u6027\u548c\u8fd0\u8425\u6548\u7387\u3002 <\/p>\n<h4>\u58f3\u724c\u6539\u8fdb\u70bc\u6cb9\u5de5\u827a<\/h4>\n<p><strong>\u95ee\u9898<\/strong> \u58f3\u724c\u7684\u4f69\u5c14\u5c3c\u65af\u70bc\u6cb9\u5382\u662f\u6b27\u6d32\u6700\u5927\u7684\u70bc\u6cb9\u5382\u4e4b\u4e00\uff0c\u9762\u4e34\u7740\u610f\u5916\u505c\u673a\u7684\u98ce\u9669\u3002\u8fd9\u5bb6\u4f4d\u4e8e\u8377\u5170\u7684\u70bc\u6cb9\u5382\u7684\u8fd9\u79cd\u4e2d\u65ad\u4e0d\u4ec5\u589e\u52a0\u4e86\u7ef4\u4fee\u548c\u7ef4\u62a4\u6210\u672c\uff0c\u8fd8\u5371\u53ca\u76c8\u5229\u80fd\u529b\u548c\u8fd0\u8425\u7684\u8fde\u7eed\u6027\u3002 <\/p>\n<p><strong>\u65b9\u6cd5\uff1a<\/strong> \u58f3\u724c\u4e0e C3 AI \u5408\u4f5c\uff0c\u5b9e\u65bd\u4e86\u4e00\u9879 <a href=\"https:\/\/c3.ai\/blog\/how-shell-scaled-ai-predictive-maintenance-to-monitor-10000-pieces-of-equipment-globally\/\" target=\"_blank\">\u5168\u9762\u7684\u9884\u6d4b\u6027\u7ef4\u62a4\u5e73\u53f0<\/a>.\u8fd9\u4e00\u590d\u6742\u7684\u7cfb\u7edf\u6301\u7eed\u76d1\u63a7\u7740 10,000 \u591a\u9879\u5173\u952e\u70bc\u6cb9\u8d44\u4ea7\uff0c\u6bcf\u5468\u5206\u6790\u7ea6 200 \u4ebf\u4e2a\u6570\u636e\u70b9\uff0c\u4ee5\u6781\u9ad8\u7684\u51c6\u786e\u6027\u9884\u6d4b\u8bbe\u5907\u6545\u969c\u3002 <\/p>\n<p><strong>\u89e3\u51b3\u65b9\u6848\u548c\u4f18\u52bf<\/strong> \u4eba\u5de5\u667a\u80fd\u5e73\u53f0\u6210\u529f\u5730\u63d0\u524d\u53d1\u73b0\u4e86\u4e24\u4e2a\u8feb\u5728\u7709\u776b\u7684\u5173\u952e\u8bbe\u5907\u6545\u969c\uff0c\u4f7f\u58f3\u724c\u80fd\u591f\u91c7\u53d6\u9884\u9632\u6027\u7ef4\u62a4\u63aa\u65bd\uff0c\u4ece\u800c\u907f\u514d\u4e86\u4ee3\u4ef7\u9ad8\u6602\u7684\u505c\u673a\u548c\u7ef4\u4fee\u3002\u8fd9\u79cd\u79ef\u6781\u4e3b\u52a8\u7684\u65b9\u6cd5\u4f30\u8ba1\u8282\u7701\u4e86\u7ea6 $2 \u767e\u4e07\u7f8e\u5143\uff0c\u5e76\u5927\u5927\u63d0\u9ad8\u4e86\u8fd0\u8425\u53ef\u9760\u6027\u3002\u58f3\u724c\u521b\u5efa\u4e86\u4e00\u4e2a\u5f3a\u5927\u7684\u957f\u671f\u8d44\u4ea7\u7ba1\u7406\u6218\u7565\uff0c\u5e76\u5728\u5176\u5168\u7403\u8bb8\u591a\u70bc\u6cb9\u5382\u91c7\u7528\u3002<\/p>\n<h3>\u53ef\u80fd\u51fa\u73b0\u7684\u95ee\u9898\uff1a\u8fd9\u4e0d\u4ec5\u4ec5\u662f\u4eba\u5de5\u667a\u80fd\u7684\u95ee\u9898<\/h3>\n<p>\u5c3d\u7ba1\u4f7f\u7528\u4eba\u5de5\u667a\u80fd\u5de5\u5177\u8fdb\u884c\u9884\u6d4b\u6027\u7ef4\u62a4\u5927\u6709\u53ef\u4e3a\uff0c\u4f46\u5e0c\u671b\u5b9e\u65bd\u8fd9\u4e9b\u5de5\u5177\u7684\u9886\u5bfc\u8005\u9762\u4e34\u7740\u51e0\u4e2a\u6f5c\u5728\u7684\u969c\u788d\u3002\u6709\u4e09\u4e2a\u5173\u952e\u6311\u6218\u9700\u8981\u8ba4\u771f\u5bf9\u5f85\u3002 <\/p>\n<p><strong>1.\u6570\u636e\u8d28\u91cf\u95ee\u9898\u3002<\/strong> \u9ad8\u8d28\u91cf\u7684\u6570\u636e\u662f\u9884\u6d4b\u6027\u7ef4\u62a4\u7684\u57fa\u7840\u3002\u5dee <a href=\"https:\/\/sloanreview.mit.edu\/article\/how-to-get-proactive-about-data-quality\/\">\u6570\u636e\u8d28\u91cf<\/a> \u8fd9\u4e9b\u95ee\u9898\u5f80\u5f80\u6e90\u4e8e\u4eba\u5de5\u8f93\u5165\u9519\u8bef\u3001\u6570\u636e\u91c7\u96c6\u65b9\u6cd5\u4e0d\u4e00\u81f4\u4ee5\u53ca\u6570\u636e\u7ba1\u7406\u6d41\u7a0b\u4e0d\u5b8c\u5584\u3002\u5982\u679c\u6ca1\u6709\u9ad8\u8d28\u91cf\u7684\u6570\u636e\uff0c\u5373\u4f7f\u662f\u6700\u590d\u6742\u7684\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u4e5f\u4f1a\u5931\u8d25\uff0c\u8fd9\u5c31\u662f\u7ecf\u5178\u7684 \"\u5783\u573e\u8fdb\uff0c\u5783\u573e\u51fa \"\u5b9a\u7406\u3002\u6570\u636e\u8d28\u91cf\u662f\u5404\u884c\u4e1a\u4eba\u5de5\u667a\u80fd\u9879\u76ee\u9762\u4e34\u7684\u6700\u5927\u6311\u6218\u4e4b\u4e00\uff0c\u9700\u8981\u9886\u5bfc\u8005\u7ed9\u4e88\u66f4\u591a\u5173\u6ce8\u3002 <\/p>\n<p><em>\u5efa\u8bae\uff1a<\/em> \u5c3d\u53ef\u80fd\u5b9e\u73b0\u6570\u636e\u91c7\u96c6\u6d41\u7a0b\u81ea\u52a8\u5316\uff0c\u4ee5\u51cf\u5c11\u4eba\u4e3a\u9519\u8bef\u3002\u5b9a\u671f\u5ba1\u6838\u91c7\u96c6\u6570\u636e\u7684\u51c6\u786e\u6027\u548c\u53ef\u7528\u6027\u3002\u4e3a\u786e\u4fdd\u80fd\u5224\u65ad\u6570\u636e\u8d28\u91cf\u7684\u4eba\u7c7b\u5b9e\u9645\u4f7f\u7528\u6570\u636e\uff0c\u5e94\u5c06\u6570\u636e\u8f93\u5165\u8fd0\u8425\u51b3\u7b56\u3002\u8fd9\u6709\u52a9\u4e8e\u63d0\u9192\u4eba\u4eec\u6ce8\u610f\u6f5c\u5728\u7684\u6570\u636e\u8d28\u91cf\u95ee\u9898\uff0c\u5e76\u5728\u6570\u636e\u6536\u96c6\u9636\u6bb5\u53ca\u65f6\u91c7\u53d6\u7ea0\u6b63\u63aa\u65bd\u3002<\/p>\n<div class=\"callout-pullquote callout-pullquote--no-quote callout-pullquote--long\" data-aos-duration=\"900\" data-aos-anchor-placement=\"bottom-bottom\" data-aos-easing=\"ease-out-back\" data-aos=\"fade-up\">\n<p class=\"callout-pullquote__quote\">\n\t\t\t\t\t\u6570\u636e\u8d28\u91cf\u662f\u5404\u884c\u4e1a\u4eba\u5de5\u667a\u80fd\u9879\u76ee\u9762\u4e34\u7684\u6700\u5927\u6311\u6218\u4e4b\u4e00\uff0c\u9700\u8981\u9886\u5bfc\u8005\u7ed9\u4e88\u66f4\u591a\u5173\u6ce8\u3002\n\t\t\t\t\t<\/p>\n<\/div>\n<p><strong>2.\u6574\u5408\u65b9\u9762\u7684\u6311\u6218\u3002<\/strong> \u5982\u679c\u4e0d\u80fd\u5f88\u597d\u5730\u96c6\u6210\u5230\u73b0\u6709\u7684\u5de5\u4f5c\u6d41\u7a0b\u4e2d\uff0c\u5373\u4f7f\u51c6\u786e\u7684\u4eba\u5de5\u667a\u80fd\u9884\u6d4b\u4e5f\u4f1a\u4ed8\u8bf8\u4e1c\u6d41\u3002\u4f8b\u5982\uff0c\u8bb8\u591a\u4f20\u7edf\u8f6f\u4ef6\u5c1a\u672a\u4f7f\u7528\u73b0\u4ee3\u6570\u636e\u4ea4\u6362\u63a5\u53e3\u8fdb\u884c\u6539\u9020\u3002\u6b64\u5916\uff0c\u4f01\u4e1a\u5728\u5b9e\u65bd\u4eba\u5de5\u667a\u80fd\u65f6\u5f80\u5f80\u5404\u81ea\u4e3a\u653f\uff0c\u7f3a\u4e4f\u8de8\u804c\u80fd\u7684\u81ea\u4e3b\u6743\u3002\u5982\u679c\u5c06\u6b64\u7c7b\u8ba1\u5212\u89c6\u4e3a IT \u9879\u76ee\uff0c\u4ece\u4e00\u5f00\u59cb\u5c31\u6ce8\u5b9a\u4f1a\u5931\u8d25\u3002 <\/p>\n<p><em>\u5efa\u8bae\uff1a<\/em> \u8bbe\u8ba1\u53ef\u4e0e\u7ef4\u62a4\u7cfb\u7edf\u76f4\u63a5\u901a\u4fe1\u7684\u9884\u6d4b\u7cfb\u7edf\uff0c\u5e76\u5c06\u5176\u96c6\u6210\u5230\u65e5\u5e38\u8fd0\u8425\u5de5\u4f5c\u6d41\u7a0b\u4e2d\u3002\u5bf9\u4f20\u7edf\u8f6f\u4ef6\u8fdb\u884c\u73b0\u4ee3\u5316\u6539\u9020\uff0c\u5b9e\u65bd\u5f3a\u5927\u7684\u5e94\u7528\u7a0b\u5e8f\u63a5\u53e3\uff08API\uff09\u548c\u81ea\u52a8\u5316\u5de5\u5177\uff0c\u7f29\u5c0f\u6d1e\u5bdf\u529b\u4e0e\u6267\u884c\u529b\u4e4b\u95f4\u7684\u5dee\u8ddd\u3002\u786e\u4fdd\u8fd0\u8425\u9886\u5bfc\u4e0e IT \u56e2\u961f\u5171\u540c\u53c2\u4e0e\u3002 <\/p>\n<p><strong>3.\u6587\u5316\u963b\u529b\u3002<\/strong> \u7531\u4e8e\u62c5\u5fc3\u804c\u4e1a\u5b89\u5168\u6216\u4e0d\u4fe1\u4efb\u65b0\u6280\u672f\u7684\u80fd\u529b\uff0c\u5458\u5de5\u5f80\u5f80\u5bb3\u6015\u4eba\u5de5\u667a\u80fd\u3002\u8fd9\u79cd\u62b5\u89e6\u60c5\u7eea\u963b\u788d\u4e86\u4eba\u5de5\u667a\u80fd\u7684\u5e94\u7528\uff0c\u9650\u5236\u4e86\u9884\u6d4b\u6027\u7ef4\u62a4\u8ba1\u5212\u7684\u6709\u6548\u6027\u3002 <\/p>\n<p><em>\u5efa\u8bae\uff1a<\/em> \u5c3d\u65e9\u8ba9\u5458\u5de5\u53c2\u4e0e\u8fdb\u6765\uff0c\u6d88\u9664\u4ed6\u4eec\u5bf9\u6280\u672f\u7684\u6050\u60e7\u3002\u627f\u8ba4\u867d\u7136\u67d0\u4e9b\u7c7b\u578b\u7684\u4efb\u52a1\u4f1a\u5b9e\u73b0\u81ea\u52a8\u5316\uff0c\u4f46\u4e5f\u6709\u4e00\u4e9b\u5408\u4f5c\u673a\u4f1a\u3002\u4f8b\u5982\uff0c\u4eba\u5de5\u667a\u80fd\u53ef\u4ee5\u53ca\u65e9\u53d1\u73b0\u8bbe\u5907\u95ee\u9898\uff0c\u534f\u52a9\u6280\u672f\u4eba\u5458\u8fdb\u884c\u95ee\u9898\u8bca\u65ad\uff0c\u5e76\u7531\u4eba\u5de5\u9a8c\u8bc1\u548c\u5b9e\u65bd\u4fee\u590d\u3002\u8ba9\u5458\u5de5\u79ef\u6781\u53c2\u4e0e\u4eba\u5de5\u667a\u80fd\u8bd5\u70b9\u9879\u76ee\uff0c\u5e76\u5c06\u57f9\u8bad\u4f5c\u4e3a\u4f18\u5148\u4e8b\u9879\uff0c\u4ee5\u63d0\u9ad8\u5458\u5de5\u7684\u6280\u672f\u6d41\u7545\u6027\u5e76\u63a8\u52a8\u91c7\u7528\u3002 <\/p>\n<h3>\u5b8c\u5168\u81ea\u52a8\u5316\u4e0d\u662f\u76ee\u6807<\/h3>\n<p>\u9886\u5bfc\u8005\u8be5\u5982\u4f55\u7740\u624b\u5f00\u5c55\u9884\u6d4b\u6027\u7ef4\u62a4\u5de5\u4f5c\uff1f\u9996\u5148\uff0c\u4ed6\u4eec\u5e94\u786e\u5b9a\u6570\u636e\u4e30\u5bcc\u3001\u4e1a\u52a1\u5f71\u54cd\u5927\u7684\u9886\u57df\uff0c\u5728\u8fd9\u4e9b\u9886\u57df\u8bd5\u884c\u9884\u6d4b\u6027\u7ef4\u62a4\u8ba1\u5212\u3002\u4ece\u6709\u9488\u5bf9\u6027\u3001\u53ef\u64cd\u4f5c\u7684\u9879\u76ee\u5165\u624b\uff0c\u53ef\u4ee5\u5b9e\u73b0\u901f\u8d62\uff0c\u66f4\u6e05\u6670\u5730\u5c55\u793a\u4ef7\u503c\uff0c\u4e3a\u66f4\u5e7f\u6cdb\u7684\u5b9e\u65bd\u548c\u957f\u671f\u91c7\u7528\u94fa\u5e73\u9053\u8def\u3002 <\/p>\n<p>\u8bf7\u8bb0\u4f4f\uff0c\u9884\u6d4b\u6027\u7ef4\u62a4\u7684\u76ee\u6807\u5e76\u4e0d\u662f\u5b8c\u5168\u81ea\u52a8\u5316\u3002\u800c\u662f\u901a\u8fc7\u4f18\u5316\u76d1\u63a7\u5de5\u4f5c\u6765\u51cf\u5c11\u8d44\u4ea7\u505c\u673a\u65f6\u95f4\u3002\u901a\u8fc7\u5b9e\u65f6\u81ea\u52a8\u76d1\u63a7\u6765\u589e\u5f3a\u7ef4\u62a4\u5de5\u4f5c\u6d41\u7a0b\uff0c\u5e76\u8f85\u4ee5\u4eba\u5de5\u5ba1\u67e5\u548c\u53ca\u65f6\u7684\u73b0\u573a\u884c\u52a8\uff0c\u8fd9\u5c31\u9700\u8981\u673a\u5668\u548c\u4eba\u4e4b\u95f4\u7684\u534f\u4f5c\u3002 <\/p>\n<p>\u9886\u5bfc\u8005\u5fc5\u987b\u5e86\u795d\u5728\u6574\u4e2a\u8fc7\u7a0b\u4e2d\u53d6\u5f97\u7684\u5feb\u901f\u6210\u529f\uff0c\u4ee5\u5efa\u7acb\u56e2\u961f\u7684\u4fe1\u5fc3\u5e76\u63d0\u9ad8\u8ba1\u5212\u7684\u80fd\u89c1\u5ea6\u3002\u91c7\u7528\u8fd9\u79cd\u79ef\u6781\u4e3b\u52a8\u7684\u534f\u4f5c\u65b9\u6cd5\u7684\u516c\u53f8\u53ef\u4ee5\u663e\u8457\u51cf\u5c11\u505c\u673a\u65f6\u95f4\uff0c\u964d\u4f4e\u8fd0\u8425\u6210\u672c\uff0c\u5e76\u83b7\u5f97\u53ef\u6301\u7eed\u7684\u7ade\u4e89\u4f18\u52bf\u3002 <\/p>\n<aside class=\"article-ad ad-300  ad-300x250 ad-desktop\">\n<\/aside>\n<aside class=\"article-ad ad-300  ad-300x250 ad-mobile\">\n<\/aside>\n<div class=\"article-left-col--footer\">\n<section class=\"article-topics\">\n<h4 class=\"article-topics__title\">\u4e3b\u9898<\/h4>\n<\/section>\n<section class=\"article-section\">\n<h4 class=\"article-section__title\">\u4e13\u680f<\/h4>\n<p>\n            \u6211\u4eec\u7684\u4e13\u5bb6\u4e13\u680f\u4f5c\u5bb6\u5c31\u73b0\u4ee3\u4f01\u4e1a\u548c\u7ba1\u7406\u8005\u9762\u4e34\u7684\u91cd\u8981\u95ee\u9898\u63d0\u4f9b\u610f\u89c1\u548c\u5206\u6790\u3002        <\/p>\n<p>        <a href=\"https:\/\/sloanreview.mit.edu\/series\/column\/\" class=\"article-section__link\"><\/p>\n<p>           \u672c\u7cfb\u5217\u4e2d\u7684\u66f4\u591a\u5185\u5bb9<br \/>\n                      <\/a><\/p>\n<\/section><\/div>\n<div class=\"article-authors\" id=\"article-authors\">\n<h4 class=\"article-authors__title\">\u5173\u4e8e\u4f5c\u8005<\/h4>\n<div class=\"article-authors__bio\">\n<p><a href=\"https:\/\/www.linkedin.com\/in\/gkesari\/\" target=\"_blank\">\u7518\u5185\u65af-\u51ef\u8428\u91cc<\/a> \u662f\u8f6f\u4ef6\u4ea7\u54c1\u516c\u53f8 Tensor Planet \u7684\u521b\u59cb\u4eba\u517c\u9996\u5e2d\u6267\u884c\u5b98\u3002 <\/p>\n<\/div><\/div>\n<\/div>\n<p>#R \u51cf\u5c11 #Downtime #ools<\/p>","protected":false},"excerpt":{"rendered":"<p>\u4e13\u9898\u4e13\u680f \u6211\u4eec\u7684\u4e13\u5bb6\u4e13\u680f\u4f5c\u5bb6\u5c31\u73b0\u4ee3\u4f01\u4e1a\u548c\u7ba1\u7406\u8005\u9762\u4e34\u7684\u91cd\u8981\u95ee\u9898\u63d0\u4f9b\u610f\u89c1\u548c\u5206\u6790\u3002\u672c\u7cfb\u5217\u7684\u66f4\u591a\u5185\u5bb9 Carolyn Geason-Beissel\/MIT SMR | Getty Images \u6458\u8981\uff1a\u4eba\u5de5\u667a\u80fd\u5de5\u5177\u53ef\u4ee5\u5e2e\u52a9\u4f01\u4e1a\u6539\u5584\u8bbe\u5907\u548c\u57fa\u7840\u8bbe\u65bd\u7684\u7ef4\u62a4\uff0c\u5e76\u8f6c\u5411\u4e3b\u52a8\u53d1\u73b0\u548c\u89e3\u51b3\u95ee\u9898\uff0c\u800c\u4e0d\u4ec5\u4ec5\u662f\u5bf9\u95ee\u9898\u505a\u51fa\u53cd\u5e94\u3002\u4f46\u662f\uff0c\u90a3\u4e9b [...]<\/p>","protected":false},"author":1,"featured_media":3218,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[9],"tags":[],"class_list":["post-3217","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-management"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.7.1 (Yoast SEO v25.8) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Reducing Downtime With AI Tools - MORE SOURCING LTD<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/moresourcing.com\/zh\/\u7ef4\u62a4\u9769\u547d-\u5229\u7528\u4eba\u5de5\u667a\u80fd\u5de5\u5177\u51cf\u5c11\u505c\u673a\u65f6\u95f4\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta 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More in this series Carolyn Geason-Beissel\/MIT SMR | Getty Images Summary: AI tools can help organizations improve equipment and infrastructure maintenance and shift to proactively identifying and solving problems rather than merely reacting to issues. 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