雖然這篇Prefabricated鄉民發文沒有被收入到精華區：在Prefabricated這個話題中，我們另外找到其它相關的精選爆讚文章
在 prefabricated產品中有10篇Facebook貼文，粉絲數超過0的網紅，也在其Facebook貼文中提到， 最近，我在「TIME時代」雜志的專欄文章裡，向全球的讀者介紹了大陸「世界工廠」的+AI自動化升級。隨著勞動力成本的上漲，工業自動化、智慧化勢必是大陸製造業的一劑特效藥。自動化能讓運營成本下降，但仍能讓中國大陸保持生產品質、流程、供應鏈維度的優勢。AI賦能產業升級的願景或許還需多年才能實現，但當下的大...
同時也有10000部Youtube影片，追蹤數超過2,910的網紅コバにゃんチャンネル，也在其Youtube影片中提到，...
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最近，我在「TIME時代」雜志的專欄文章裡，向全球的讀者介紹了大陸「世界工廠」的+AI自動化升級。隨著勞動力成本的上漲，工業自動化、智慧化勢必是大陸製造業的一劑特效藥。自動化能讓運營成本下降，但仍能讓中國大陸保持生產品質、流程、供應鏈維度的優勢。AI賦能產業升級的願景或許還需多年才能實現，但當下的大陸已經讓未來可期。
以下是專欄文章全文，經TIME授權翻譯轉載：
「中國世界工廠 + AI 的未來」
多年來，中國大陸一直被喻為「世界工廠」，即便在全球其他經濟體紛紛遭遇新冠疫情重擊的2020年，大陸製造產業仍然維持穩健的增長范式，全年產值高達3.854萬億美元，占到全球市場近三分之一。
但如果你腦中的大陸工廠是傳統的「血汗工廠」，是時候修正你的刻板印象了。大陸經濟已經迅速地從疫情衝擊下復蘇，疫情同時催化了各種各樣人工智慧（AI）的應用場景加速實現。自2014年以來，中國大陸的AI專利申請量已經超越美國，至今維持全球領先。在學術領域，中國大陸的AI研究論文發表數量、AI期刊的引用量，也雙雙在近年超過了美國。在產業方面，AI應用在大陸的落地速度超越世界其他國家和地區，具有商業價值的AI應用如今開始百花齊放，整合了軟體、硬體和機器人技術的新一代自動化揭開序曲，AI賦能傳統行業的能量，正在蓄勢待發地重塑各行各業。
人類社會至今經歷了三次不同的工業革命：蒸汽革命、電力革命和資訊革命。我相信，AI將會是推動全球第四次工業革命的核心引擎，在世界各地點燃數位化和自動化的變革，而這波前所未有的硬科技浪潮，將由中國來引領實踐。
由於勞動人口減少和新增人口放緩，中國大陸的傳統產業正面臨著勞動力成本上升的巨大壓力，AI正是解決這個難題的技術解答。人工智慧不僅能夠降低運營成本，提高生產效率，擴大整體產能，還有望能帶來收入的增長。
例如，創新工場投資的廣州極飛科技是一家致力於未來農業的AI科技公司，極飛將無人機、機器人和感測器部署在稻田、麥田和棉花田裡，用技術賦能農業中的播種、農藥噴灑、栽種管理、甚至天氣監測環節。用於作物噴灑的極飛科技R150農業無人車已經被推廣到了英國，應用在蘋果、草莓、黑莓等多種經濟作物的種植流程中。
一些大陸的創新公司正積極把機器人拓展到意想不到的場景。總部位於北京的鎂伽是創新工場投資的生命科學智慧自動化公司，他們和實驗室、製藥公司、高校合作，憑藉AI+機器人技術的積累，用自動化解決方案執行實驗室中勞動密集、重複性高、但需要高度精確的任務和流程，同時機器人作業也將盡最大可能保護實驗室人員降低實驗過程中的感染風險。
除了創業公司，我們看到幾家成熟的龍頭企業也開始積極擁抱AI。創新工場參與了有28年歷史的中力電動叉車，這家頭部的鋰電叉車製造商已經推出了能夠在工廠、倉庫自主運行的無人叉車，並且無需對運行環境進行改造，能快速實現從手動到電動到自動駕駛的搬運賦能創新。此外，擁有50多年歷史的領先客車製造商-宇通集團，與自動駕駛獨角獸企業-文遠知行戰略合作，已在大陸三個城市的馬路上運行全無人駕駛小巴。
接著會發生什麼？我大膽預見，在更長遠的未來，機器人和AI將接管大多數產品的製造、設計、交付甚至營銷——很可能將生產成本降低到和原物料成本相差無幾。未來的機器人有能力自我複製和自我修復，甚至做到部分自我反覆運算設計。房屋和公寓將交由AI主導設計，使用預製建築模塊，交由機器人像搭積木似地築樓蓋房。無人公交、無人摩托等隨傳隨到的自動化未來交通系統，能將我們安全無虞地送達想去的地方。
這些願景成為現實或許還需要多年，但此時的大陸正在積極鋪墊引領新一代自動化革命的基石。可期的是，中國工廠的實力將不僅僅體現在產能上，而將逐步彰顯在智慧上。
本文經「TIME時代」授權進行中文編譯，原文如下：
China Is Still the World's Factory — And It's Designing the Future With AI
BY KAI-FU LEE
For many years now, China has been the world’s factory. Even in 2020, as other economies struggled with the effects of the pandemic, China’s manufacturing output was $3.854 trillion, up from the previous year, accounting for nearly a third of the global market.
But if you are still thinking of China’s factories as sweatshops, it’s probably time to change your perception. The Chinese economic recovery from its short-lived pandemic blip has been boosted by its world-beating adoption of artificial intelligence (AI). After overtaking the U.S. in 2014, China now has a significant lead over the rest of the world in AI patent applications. In academia, China recently surpassed the U.S. in the number of both AI research publications and journal citations. Commercial applications are flourishing: a new wave of automation and AI infusion is crashing across a swath of sectors, combining software, hardware and robotics.
As a society, we have experienced three distinct industrial revolutions: steam power, electricity and information technology. I believe AI is the engine fueling the fourth industrial revolution globally, digitizing and automating everywhere. China is at the forefront in manifesting this unprecedented change.
Chinese traditional industries are confronting rising labor costs thanks to a declining working population and slowing population growth. The answer is AI, which reduces operational costs, enhances efficiency and productivity, and generates revenue growth.
For example, Guangzhou-based agricultural-technology company XAG, a Sinovation Ventures portfolio company, is sending drones, robots and sensors to rice, wheat and cotton fields, automating seeding, pesticide spraying, crop development and weather monitoring. XAG’s R150 autonomous vehicle, which sprays crops, has recently been deployed in the U.K. to be used on apples, strawberries and blackberries.
Some companies are rolling out robots in new and unexpected sectors. MegaRobo, a Beijing-based life-science automation company also backed by Sinovation Ventures, designs AI and robots to safely perform repetitive and precise laboratory work in universities, pharmaceutical companies and more, reducing to zero the infection risk to lab workers.
It’s not just startups; established market leaders are also leaning into AI. EP Equipment, a manufacturer of lithium-powered warehouse forklifts founded in Hangzhou 28 years ago, has with Sinovation Ventures’ backing launched autonomous models that are able to maneuver themselves in factories and on warehouse floors. Additionally Yutong Group, a leading bus manufacturer with over 50 years’ history, already has a driverless Mini Robobus on the streets of three cities in partnership with autonomous vehicle unicorn WeRide.
Where is all this headed? I can foresee a time when robots and AI will take over the manufacturing, design, delivery and even marketing of most goods—potentially reducing costs to a small increment over the cost of materials. Robots will become self-replicating, self-repairing and even partially self-designing. Houses and apartment buildings will be designed by AI and use prefabricated modules that robots put together like toy blocks. And just-in-time autonomous public transportation, from robo-buses to robo-scooters, will take us anywhere we want to go.
It will be years before these visions of the future enter the mainstream. But China is laying the groundwork right now, setting itself up to be a leader not only in how much it manufactures, but also in how intelligently it does it.
Source：https://time.com/6084158/china-ai-factory-future/
prefabricated 在 MISS Japan Facebook 的最讚貼文
みなさん、こんばんは。
以前お伝えした内容を英訳しました。たくさんの方に伝わって欲しいです。ミスジャパンは、日本内の大会ですが、この記事から日本の災害についてと、今後の取り組みについてたくさんの方に伝わればと考えています。
ーーーー.*
Hello, everyone. My name is Misato Hayashi.I am Miss Miyagi of Miss Japan 2020. Nice to meet you.🌷✨
I am originally from Shinchi-machi, Fukushima prefecture.
I moved to Marumori-machi last October and started new career as a member of “Chiiki-Okoshi-Kyouryokutai” or Local Community Reactivating Cooperator (translated by the Ministry of Internal affairs and Communications (MIC)), who works as a part-time staff of local government office with my own business skill.
Today, I would like to share the reason why I applied for Miss Japan 2020.
Do you remember what happened October 2019?
That was the same time as I just moved to Marumori-machi, Typhoon Hagibis hit the town and left serious damage. The typhoon not only destroyed the buildings, but also caused flooded and engulfed the entire town. In addition, land slide at many points cut the roads and delayed the evacuation and recovery efforts. People were forced to leave their home and move to evacuation centers.
Today, a great number of people still have to live in prefabricated temporary housings.
Not only Marumori, some other areas such as in Fukushima and Chiba prefectures still need of support.
This catastrophe made me decide to challenge myself to being Miss Japan 2020 in order to get more opportunities to tell what happens in disaster-hit sites.
After the disaster, I visited the evacuation shelters every day and listened to the evacuees. The situation especially on their living condition was changing day by day, so I was considering what they need and what support we can provide for them.
Since the situation rapidly changed, it required speedy decision making and response.
But I sometimes failed. I thought I could do much more while feeling the lack of power.
Not only people in Marumori, we need to think more about possible natural disasters in Japan.
We don’t know when it comes but we know it comes.
I would like to be the person who can make appropriate actions in such a disaster situation so that I can help more people.
I knew what the people at shelters needed, and I wanted to answer them. However, I didn’t have enough capabilities to satisfy their needs so I had to ask for help. When asking for help, credibility and how effectively spread the information is very important.
In order to trust and help with each other in an emergency, building and maintaining relationship among people, organization and towns in peace time is also important.
I believe these are the vital to survive or fight against disasters.
Since I never had an audition or acted as a model, almost everything will be the first time and challenge for me. Honestly, if the typhoon did not hit Marumori, I would never thought about applying for Miss Japan 2020. I hope my challenge and messages will be the trigger to think about disasters and also to remember what we learned from 3.11.
I will do my best to bring good news to Miyagi, so I truly appreciate your sincere support.
Finally, I hope you will visit around Marumori and have a good time. I am looking forward to seeing you all. Thank you.
ーーーーーーーー.*
まずは次回、私が住んでいる町「丸森町」をご紹介させていただきます。
https://www.facebook.com/marumori.town/
私自身で発信することにより、今後の未曾有の災害時に、企業や自治体とより連携をとれるようになりたいと考えています。
たくさん繋がれたらうれしいです！みなさま、よろしくお願いします！
写真は自身で撮影したものだけでなく、ご協力いただいたものもあります。
※こちらはほんの一部を抜粋させていただきました。
▼中原絵理香さん
台風直前まで丸森町地域おこし協力隊で現在【認定産後ドゥーラ】の資格を持ち、台風直後にFacebookページを立ち上げた1人
https://www.facebook.com/groups/499989543915470/?ref=share
https://www.facebook.com/doulajapan/
▼丸森町筆甫地区Facebookページ
https://m.facebook.com/marumori.hippo/
ありがとうございました！♡
2020 Miss japan 宮城県代表
林 実里
Misato Hayashi
#missjapan #missmiyagi #2020missjapan #marumorimachi #miyagi #丸森町 #ミスジャパン
prefabricated 在 台灣物聯網實驗室 IOT Labs Facebook 的精選貼文
不只用在設計端 MR開始融入製造流程
莊清瑋 2020-03-16
虛擬實境(VR)、擴增實境(AR)和混合實境(MR)等XR沉浸式技術曾被視為不可能的任務，如今企業都見識到XR能以多維度視覺來呈現複雜數據，以及支援更多富含資訊的體驗等價值，進而改變產品製造流程。
據Trimble的MR與人機介面資深總監Aviad Almagor在IndustryWeek撰文指出，XR創新可以帶來諸如提高生產率和降低錯誤風險等好處，不過主要還是應用於製造業的視覺化和通訊等場景。如今這個現象正在改變。
從設計端轉移到製造端
使用XR進行通訊和數據視覺化依然相當重要，但製造商開始將這些解決方案應用到基層作業，來應對更複雜的工作，像是品質或生產控管，以及生產線的製造流程。
特別是MR，軟硬體功能改善後可實現免觸碰(Hands Free)互動，並符合安全規範。
硬體方面的主要改進包括更廣的視野和更好的感光元件，進而提高校準精確度。此外，專為生產作業製造的的MR裝置，像是工業安全帽和骨傳導耳機，可以讓使用者對周遭環境更靈敏，提升作業安全性。
軟體方面則是顯然有更自然、更有效率的雙手互動介面、眼球追蹤，以及根據使用者前後行動來排序流程提示等進階功能。
以往工程師設計和評估產品時可採用3D建模解決方案和MR，但是製造廠的基層員工仍在生產過程中使用紙本的圖紙，或是電腦螢幕上的模組和2D圖像。這個數位落差促使各業者尋求解決方案，也證明MR技術已成熟到足以從設計端拓展到製造端。
MR新應用案例
在市場成熟度和技術創新的推波助瀾下，MR為製造業提供新的應用案例。
員工訓練：有別過往依賴紙本工作手冊的培訓，員工可以直接和工作所需的實體資產進行互動來做中學。這對結構複雜的產品特別受用，改善傳統訓練方法太考驗腦力負擔又費時的缺點。
視覺排序(Visual Sequencing)：為生產線工人提供組裝過程的3D步驟說明，幫助資深工人避免潛在錯誤。還有一個好處是，穿戴式裝置讓工人在作業時可以不必再空出手去操作提示設備。
品質保證：MR能將數位資訊融合到真實場景，使生產線團隊能夠檢視作業品質，即時挑出差錯，並縮短和辦公室團隊溝通所耗的時間成本。
作業控管：預鑄營建(Prefabricated Construction)製造條件愈來愈複雜，MR使建商能在實際組裝環境中監工，確定作業時程是提前、按時還是落後。
附圖：MR以3D形式融合數位資訊與真實世界並使兩者進行交互，幫助生產製造流程更安全、更有效率。法新社
資料來源：https://www.digitimes.com.tw/iot/article.asp?cat=158&cat1=20&cat2=10&cat3=12&id=0000579787_7188J0UC7RXI9J8754VVI