BIM出新未來
NTU BIM Center歡迎來到NTU BIM Center的Podcast頻道！
我們將帶你探索營建產業的未來趨勢，從ESG的浪潮、數位轉型的契機，到BIM和AI如何成為綠色轉型的強大推手。透過輕鬆活潑的對話，我們邀請產、官、學界的專家一同討論，解開營建產業面臨的挑戰與機會。跟我們一起，開啟知識的大門，搭上營建產業創新與轉型的快車！主持人：臺大BIM研究中心 -謝尚賢 主任-詹瀅潔 副主任-林之謙 副主任-張國儀 營運長臺大BIM研究中心：www.ntubim.net台灣BIM聯盟：www.bimalliance.tw
歡迎到各大平台收聽• Apple Podcast:podcasts.apple.com/tw/podcast/bim出新未來/id1744675294• Spotify:open.spotify.com/show/6Gfwj7B6XLjaGBLSiCaNQA• KKbox:podcast.kkb... more
| Publishes | Monthly | Episodes | 46 | Founded | 2 years ago |
|---|---|---|---|---|---|
| Language |  Chinese (Traditional) | Number of Listeners | Categories | TechnologyEducationHow To |
Listen to this Podcast
Latest Episodes
主持人：詹瀅潔
來賓：樺康智雲 蔡明達 協理
許多 BIM 模型在完工交付後，就成為積灰塵的光碟，或是硬碟裡再也不會打開的檔案。
新北市樹林藝文綜合行政大樓是個例外，也是全國首例以營運型辦公大樓獲得「公共設施維護管理獎」的案例，模型不僅留了下來，還導入了數位雙生與淨零管理。
這集我們找來幕後功臣樺康智雲的蔡明達協理，從這個案例談起。
本級節目聚焦於實務細節：模型如何對接 FM 系統、COBie 與設備資料如何整合、BIM ID 怎麼設定，以及圖資修改後要如何持續更新。這些繁瑣的細節，決定了... more
主持人：張國儀
來賓：必揚極限 Beyond Limits 彭俊人(Larry) 總監
大模型的算力資源被少數企業壟斷，不是有錢就能買到 GPU。
對於多數企業而言，答案可能不是硬碰硬，而是改用「小模型組合」。
必揚科技總監彭俊人（Larry）說明了這種替代方案：將多個小模型組合，使其相互討論與修正。這種架構能以較低的成本，達到接近大模型的輸出品質。
訪談中也指出企業推動 AI 的兩大現況：
• 隱性使用：絕大多數員工已在日常工作中使用 AI，但管理層毫不知情。缺乏明確政策，只會增加... more
主持人：謝尚賢、張國儀
來賓：臺大生物環境系統工程學系 傅群 助理教授
傅群老師在臺大教一門課，叫「環境與能源資料科學」。
他把全校建築的電表數據交給學生，題目是：如果你是顧問，如何幫臺大提出淨零方案？
這題沒有標準答案，這讓台灣的學生很不習慣，但這卻是這堂課的核心所在。
在這個時代，有標準答案的問題，AI早已解決。
傅老師不假裝自己掌握答案。當學生問起 AI 時代的生存之道，他承認自己同樣焦慮。他的應對方式，是要求學生先看 AI 能交出什麼，再設法證明自己做得比 AI 更好。畢竟我們... more
主持人：謝尚賢、張國儀
來賓：中興工程顧問 研發及資訊部 洪建龍 副理
工程師也會為了上課拚排名嗎？
在中興工程，員工看線上教材、完成課程或分享培訓心得，都能累積學習點數。年中有抽獎，年底還會選出 MVP 與 MVD，由董事長親自頒獎。獲選部門最初得到的獎品，是一個送到辦公室與同仁分享的大蛋糕。
別的部門看到蛋糕，開始問：「為什麼他們有，我們沒有？」
第二年起，部門之間的分數越追越緊。在職進修不再只是公司交辦的訓練，還多了一點不服輸的勝負欲。
這套制度的背後，是中興工程累積超過五十年... more
Reviews
- 內容很好，但是音質真的很需要改善
分享的內容很好很棒，但播放收聽的時候都有雜音跟回音，真的滿影響收聽品質，但謝謝你們的分享。
Apple Podcasts5Angela757
Taiwana year ago - 希望能有更多成功案例分享
前面幾集都還不錯，希望能針對個案有多一點成功案例分享。
Apple Podcasts5YC0702Taiwan2 years ago
Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #235 | Taiwan/Technology |
Audience Metrics
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | Gender Skew | Location | |||
|---|---|---|---|---|---|
| Interests | Professions | Age Range | |||
| Household Income | Social Media Reach | ||||
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