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| 精密加工智能工廠不是無(wú)人工廠，人才培養(yǎng)非常 |
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| 發(fā)布時(shí)間：2018/5/2 9:58:20 點(diǎn)擊：1414次 |
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2017浦江創(chuàng)新論壇于22日至25日舉行。與會(huì)專(zhuān)家在物聯(lián)網(wǎng)與全球制造分論壇上表示，目前智能制造產(chǎn)業(yè)化轉(zhuǎn)型升級(jí)正有序推進(jìn)，新一代信息技術(shù)已與制造業(yè)有效融合。與此同時(shí)，智能制造正促進(jìn)產(chǎn)業(yè)形成新業(yè)態(tài)。
Pujiang innovation 2017 BBS held on 22 to 25.Experts participating in the Internet of things and global manufacturing points on the BBS, said the current intelligent manufacturing industrial transformation and upgrading are pushing, a new generation of information technology has effective integration and manufacturing.At the same time, intelligent manufacturing is to promote industrial form new formats.
中國(guó)商飛上海飛機(jī)制造有限公司總工程師姜麗萍表示，虛擬現(xiàn)實(shí)技術(shù)的發(fā)展將進(jìn)一步完善制造過(guò)程中的仿真技術(shù)、車(chē)間布局及人機(jī)工程分析等工作，實(shí)現(xiàn)虛擬化制造，可以最大程度縮短研制周期。
Comac Shanghai aircraft manufacturing co., LTD., the chief engineer li-ping jiang said that the development of virtual reality technology will further improve the simulation technology in the process of manufacturing, workshop layout and human-machine engineering analysis and so on work, realize the virtual manufacturing, can shorten the development cycle to the greatest extent.
上海交通大學(xué)副校長(zhǎng)奚立峰教授認(rèn)為，智能制造已促進(jìn)汽車(chē)產(chǎn)業(yè)在以下方面形成新業(yè)態(tài)：一是以智能網(wǎng)聯(lián)的新技術(shù)拉動(dòng)整車(chē)改革，包括一些新興零部件產(chǎn)業(yè)獲得突破。二是車(chē)聯(lián)網(wǎng)技術(shù)的發(fā)展，包括傳感器、通信技術(shù)、數(shù)據(jù)處理等技術(shù)，使得信息系統(tǒng)更加實(shí)時(shí)、準(zhǔn)確、安全、高效和智能，實(shí)現(xiàn)從互聯(lián)到網(wǎng)聯(lián)協(xié)同控制。三是汽車(chē)結(jié)構(gòu)發(fā)生變化，從燃油汽車(chē)到電動(dòng)車(chē)，技術(shù)升級(jí)給整個(gè)汽車(chē)行業(yè)帶來(lái)新機(jī)遇。
姜麗萍則認(rèn)為，未來(lái)民機(jī)將在四方面實(shí)現(xiàn)轉(zhuǎn)變，一是新技術(shù)將飛機(jī)結(jié)構(gòu)整體化推向了新的可能。二是飛控系統(tǒng)的智能化。三是制造模式的轉(zhuǎn)變，即透明工廠。四是敏捷運(yùn)維模式的轉(zhuǎn)變，以達(dá)到虛擬化的制造、專(zhuān)業(yè)化生產(chǎn)、敏捷化加工，柔性化裝備和透明化管理，提高資源的綜合利用率，并有效縮短研制周期。
Jiang liping believes that the future civil aircraft will be transformed in four aspects. First, the new technology will bring the aircraft structure into a new possibility. The second is the intelligence of flight control system. Third, the transformation of manufacturing mode, namely the transparent factory. Four is the change of mode of agile operations, in order to achieve the virtualization of manufacturing, specialized production, agile processing, flexible equipment and transparent management, improve the comprehensive utilization of resources, and effectively shorten the development cycle.
此外，與會(huì)專(zhuān)家還普遍認(rèn)為，智能制造的戰(zhàn)略落地是制造業(yè)在數(shù)字化、網(wǎng)絡(luò)化的基石上，融合包含人工智能等新一代創(chuàng)新信息技術(shù)，實(shí)現(xiàn)“智能化”的轉(zhuǎn)型升級(jí)，而人才是轉(zhuǎn)型升級(jí)的關(guān)鍵因素之一。
In addition, the experts attending the meeting also is generally believed that the strategy of intelligent manufacturing is landing on the foundation of digital and networked manufacturing, fusion contains a new generation of innovative information technologies such as artificial intelligence, the implementation of "intelligent" transformation and upgrading, and talent is one of the key factors for transformation and upgrading.
中國(guó)機(jī)械工程學(xué)會(huì)科技咨詢(xún)委員會(huì)副主任、機(jī)械科學(xué)研究總院原副院長(zhǎng)屈賢明認(rèn)為，人才培育是最主要的保證，發(fā)展智能制造必須要有一支龐大的人才隊(duì)伍，各個(gè)企業(yè)首先要對(duì)領(lǐng)導(dǎo)干部培訓(xùn)，再對(duì)技術(shù)骨干和管理骨干進(jìn)行培訓(xùn)，對(duì)實(shí)施數(shù)字化車(chē)間或工廠的企業(yè)，要進(jìn)行全員培訓(xùn)。
Chinese mechanical engineering society, deputy director of science and technology advisory committee, mechanical science research institute, vice President of the flexor wise think, talent cultivation is the main guarantee of development of intelligent manufacturing must want to have a huge talent team, each enterprise must first of leading cadres training, and then to train technology backbone and management backbone, to implement the digital workshop or factory enterprise, must carry on the full training.
同濟(jì)大學(xué)中德工程學(xué)院副院長(zhǎng)、工業(yè)4.0智能工廠實(shí)驗(yàn)室陳明主任則認(rèn)為，智能工廠不是無(wú)人工廠，人才培養(yǎng)非常關(guān)鍵。數(shù)字化和網(wǎng)絡(luò)化使得技能勞動(dòng)崗位減少多少，就會(huì)增加相應(yīng)的崗位。目前來(lái)看，增加的崗位會(huì)更多，如信息技術(shù)、數(shù)據(jù)分析、研發(fā)等崗位。
Chen Ming, deputy dean of the school of engineering at tongji university and director of the industrial 4.0 smart factory lab, believes that smart factories are not unattended and that talent cultivation is critical. Digitization and networking will reduce the number of skilled labor jobs and increase the corresponding jobs. At present, more jobs will be added, such as information technology, data analysis, research and development, etc.
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