{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"07d591c2-0f4c-45ac-a1d7-103c4807db8f","title":"数字经济：内涵与路径","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787521745023","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"07d591c2-0f4c-45ac-a1d7-103c4807db8f","id":"07d591c2-0f4c-45ac-a1d7-103c4807db8f","uuid":"07d591c2-0f4c-45ac-a1d7-103c4807db8f","title":"数字经济：内涵与路径","normalized_title":"数字经济内涵与路径","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787521745023","isbns":["9787521745023"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":361,"navigation_url":"https://workshop.closeclaw.top/ai/book/07d591c2-0f4c-45ac-a1d7-103c4807db8f","title_url":"https://workshop.closeclaw.top/ai/title/%E6%95%B0%E5%AD%97%E7%BB%8F%E6%B5%8E%EF%BC%9A%E5%86%85%E6%B6%B5%E4%B8%8E%E8%B7%AF%E5%BE%84","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/07d591c2-0f4c-45ac-a1d7-103c4807db8f/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/07d591c2-0f4c-45ac-a1d7-103c4807db8f/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/07d591c2-0f4c-45ac-a1d7-103c4807db8f","page_url":"https://workshop.closeclaw.top/api/ai/books/07d591c2-0f4c-45ac-a1d7-103c4807db8f/page","search_url":"https://workshop.closeclaw.top/api/ai/books/07d591c2-0f4c-45ac-a1d7-103c4807db8f/search"},"page":{"printed_page":314,"pdf_page":313,"physical_index":313,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"4545c8d66ea3c49ee25a20380262a731b886b6f6d2a7b7d71402333e0fb72a65"},"chapter":"第八章","content":"上海哲元科技基于飞桨EasyDL人工智能开发平台训练出食品生产流水线数量清点及外观检测模型，是为一家全球知名冰激凌品牌定制的检测模型，能够做到从蛋卷皮外观、巧克力喷涂到灌料、撒料、压盖、包装的全流程智能化检测，实现了“快、全、省、安、优”——从人工1秒检测1个产品，到机器1秒检测近百个产品；从只能识别1种缺陷，到可识别全流程几十种缺陷，实现了机器24小时全检，改变原有人工质检模式，有效保障了食品的安全生产，同时保证了检测质量与效率。2021年9月，在上海哲元提供的智能化质检系统加持下，该冰激凌品牌位于江苏太仓的工厂被认证为世界级“灯塔工厂”，更是全球冰激凌行业的第一家“灯塔工厂”。\n\n8.飞桨：虚拟传感器模型，为中国交通机电安全护航\n\n中车研究院选择国产深度学习框架飞桨，利用飞桨构造出虚拟传感器模型。从模型搭建、训练到实际部署，中车研究院仅花了几个月的时间，而传统的方法则需要2\\~3年。通过实验室测试、铁路环线验证发现，采用虚拟传感所得数据与加装传感器数据同等有效，并且在中车研究院的算法持续优化下，故障检测准确率整体提升了10%。目前，中车研究院利用百度飞桨开发的虚拟传感器模型，已经加载于中车研究院自研的积木式设备物联与计算平台中。未来，高铁、动车、地铁，甚至是风力发电机、电动大巴汽车里都会有它的身影。\n\n314","previous_page":313,"next_page":315}