Hdl Automation Co., Ltd. 嘅作品 Xelent 模組化開關面板

由設計師 Hdl Automation Co., Ltd. 創作嘅 Xelent 模組化開關面板係備受推崇嘅 2026 A' Design Award 銀獎得獎作品，獲獎類別為智能生活設計。

銀智能生活· 2026

Xelent 模組化開關面板

由 Hdl Automation Co., Ltd.

客戶: HDL Automation Co., Ltd.

智能生活類別嘅 A' Design Award 銀獎得獎者

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設計

關於 Xelent 模組化開關面板

Xelent係一款專為智能家居而設嘅模組化開關面板。面板結合2.8毫米超薄邊框同專利磁吸卡扣系統,令表面同牆身齊平,誤差控制喺正負0.2毫米之內。31.7毫米嘅模組化網格支援4鍵、6鍵或8鍵佈局,適合唔同房間嘅需要。飛行時間感應器可以偵測10至100厘米範圍內嘅用戶,實現主動控制而唔係被動回應。溫度演算法可以預測變化,並且提前調節冷暖系統。護眼照明系統會喺三秒內逐漸提升亮度。

榮譽認可

關於A' Design Award 銀獎

Xelent 模組化開關面板是 A' Design Award 銀獎得主，這是授予頂級、華美而令人印象深刻的設計的極為崇高的認可。銀獎得主是極其卓越、極具創造力的作品，展現出其設計師傑出的專業技能、才華與敏銳。預計Xelent 模組化開關面板將成為一件出色的典範之作，兼具非凡的專業性與深刻的創新性。這件贏得 A' Design Award 銀獎的設計是一項備受矚目、令人欽佩的發明，造福並拓展藝術、科學、設計和技術的界限。Xelent 模組化開關面板是一件令人羨慕的創作，它喚起渴望，帶來積極的情感，並激發驚嘆與讚嘆。

設計背後

新聞資料包

由設計師提供嘅製作人員名單、團隊成員同技術詳情。

獨特屬性: Xelent merges technologies with architectural aesthetics via 3 core innovations, a 2.8 mm ultra thin embedded design, proactive intelligent interaction, and a sustainable modular structure—reshaping the future of spatial interaction. A patented magnetic snap fit system allows it to sit flush with the wall with a deviation of plus and minus 0.2 mm. A dual orientation design creates spatial order. With HDL algorithm and AI scene engine, it anticipates user actions for smart, seamless interaction.
尺寸同包裝: product dimensions, 81 mm x 81 mm x 9 mm
標籤: Household Modular Switch Panel, 2.8 mm Ultra Thin Embedded Design, Proactive Intelligent Interaction, Sustainable Modular Architecture, Multi Scenario Linkage
生產技術: With a patented magnetic snap fit system, Xelent integrates a 2.8 mm ultra thin frame with a universal mounting base. Its custom embedded backbox enables component recessing, allowing it to be at the wall level with a deviation of plus and minus 0.2 mm and making it a structural part of the wall itself. A modular 31.7 mm grid layout supports flexible 4, 6, or 8 key combinations, adapting to diverse scenarios, from multibutton control in kitchens to simple button mode in bedrooms.
設計挑戰: The challenge lies in achieving the seamless integration of minimalist hardware and intelligent software. Xelent pioneers a 2.8 mm ultra thin embedded modular switch panel at the wall level and marks the shift from passive response to proactive prediction. It features a high precision TOF human detection system that accurately senses the distance between the user and the panel with an adjustable sensing range from 10 to 100 cm, ensuring an intuitive and convenient interaction.
研究: Xelent introduces the notion of the seamless evolution of wall mounted switch panel, driving the seamless integration of switch panel into the wall. Built upon a modular structure and made from quality materials, it creates the next generation smart panels by merging architectural aesthetics with intuitive digital interaction, enabling panels to recede into the environment—achieving minimal visual disruption and maximum functional freedom, enhancing the intelligence and aesthetic of homes.
靈感: Inspired by the future vision of device free smart living, the panel is designed to blend seamlessly into the space, becoming a natural extension of the environment rather than a visual intrusion. It also responds to the growing expectations of users for smarter interaction by shifting from traditional passive responses to proactive behavior prediction, with the goal of creating a more user friendly, convenient, comfortable, and intelligent environment.
項目時長: Designed and developed in Guangzhou in March 2025, the product is expected to be launched in China in December 2025.
操作流程: With selfdeveloped HDL temperature algorithm, it is able to sense temp fluctuation within plus or minus one degree Celsius and forecast temp trends in 15 minutes, enabling the preadjustment of HVAC systems.
The eyecare lighting system uses a 3 second soft start algorithm to gradually increase brightness, ideal for bedrooms and rooms for children. With precision dot matrix lighting simulating screen breathing effects, the screen mimicking dynamic light offers an immersive interactive experience.
團隊成員: Jin Huang, Wenbin Chen, Daying Gao, Dongchang Li, Xiujuan Chen