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Airchef Iṣẹ Ifijiṣẹ Ounjẹ nipasẹ Drone láti ọwọ́ Zhiwen Qian, Wenbo Guo and Ding Li

Airchef Iṣẹ Ifijiṣẹ Ounjẹ nipasẹ Drone láti ọwọ́ Zhiwen Qian, Wenbo Guo and Ding Li jẹ́ aṣẹ́gun olókìkí púpọ̀ ti 2025 Àmì-ẹ̀yẹ Idẹ A' Design Award nínú Ẹ̀ka Ìdíje Àpẹẹrẹ Ọjà Dijítà.


IdẹỌjà Dijítà· 2025

Airchef Iṣẹ Ifijiṣẹ Ounjẹ nipasẹ Drone

látọ̀wọ́ Zhiwen Qian, Wenbo Guo and Ding Li

Oníbàárà: AirChef

Aṣẹ́gun Àmì-ẹ̀yẹ Idẹ A' Design Award nínú Ẹ̀ka Ọjà Dijítà

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Àwọ̀

Àpẹrẹ Náà

Nípa Airchef Iṣẹ Ifijiṣẹ Ounjẹ nipasẹ Drone

Airchef jẹ́ iṣẹ́ ìfijiṣẹ́ oúnjẹ tí a fi drone ṣiṣẹ́ tí a ṣẹ̀dá fún àwọn ènìyàn tí kò ní àkókò tó pọ̀ láti gbé ètò oúnjẹ kalẹ̀. A máa yan oúnjẹ nípasẹ̀ app fóònù alágbèéká, tí drone yóò sì gbé wọn dé ẹnu-ọ̀nà tààrà. Drone náà máa fò láìsí awakọ̀, ó máa yẹra fún àwọn ìdíwọ́, ó sì máa mú ara rẹ̀ bára mu pẹ̀lú ipò ojú-ọjọ́. Àwọn ohun èlò carbon fiber composite jẹ́ kí drone náà fúyẹ́ tí ó sì tún wà lágbára, nígbà tí àwọn algorithm ìtọ́ka ọ̀nà máa ń dín gígùn ọ̀nà ìfijiṣẹ́ kù. Ètò ìtọpinpin tí ó ní ìsopọ̀ jẹ́ kí a lè tẹ̀lé ìfijiṣẹ́ kọ̀ọ̀kan ní àkókò gidi. Iṣẹ́ yìí dín àìní fún ìrìn-àjò sí ọjà oúnjẹ àti ìmúrasílẹ̀ oúnjẹ ní ilé kù.

Ìdánimọ̀ Náà

Nípa Àmì-ẹ̀yẹ Idẹ A' Design Award

Airchef Iṣẹ Ifijiṣẹ Ounjẹ nipasẹ Drone jẹ́ olùborí Àmì-ẹ̀yẹ Idẹ A' Design Award, ìdánimọ̀ olókìkí gan-an tí a fún àwọn àwòṣe tó tayọ tí wọ́n yàtọ̀ nípasẹ̀ ìṣẹ̀dá, àrékérekè àti ọgbọ́n inú. Àwọn olùborí Idẹ jẹ́ àwọn ohun èlò tó ní ìjáfáfá gan-an tí wọ́n sì ní ìṣẹ̀dá tó yani lẹ́nu tí wọ́n ń ṣe ẹ̀rí ìrírí gbígbòòrò, ìrònú àti ọgbọ́n àwọn olùṣàwòṣe wọn. A retí pé Airchef Iṣẹ Ifijiṣẹ Ounjẹ nipasẹ Drone yóò jẹ́ ohun tí a kà sí gidigidi, tí a gbóríyìn fún tí a sì nífẹ̀ẹ́, tó jẹ́ ti ọ̀jáfáfá lọ́nà tó ṣe pàtàkì tó sì ní ìmúṣẹ̀dá tuntun. Àwòṣe tó borí Àmì-ẹ̀yẹ Idẹ A' Design Award yìí ń kó àwọn ọ̀nà tó dára jùlọ nínú iṣẹ́ ọnà, sáyẹ́ǹsì, àwòṣe àti ìmọ̀-ẹ̀rọ jọ, ó sì tayọ nítorí àfiyèsí rẹ̀ sí àwọn àlàyé kékeré. Airchef Iṣẹ Ifijiṣẹ Ounjẹ nipasẹ Drone ń tẹ́ àwọn ohun tí a nílò lọ́rùn lọ́nà àgbàyanu, ó ń fọwọ́ kan àwọn ìfẹ́ inú, ó ń gbà ọkàn ó sì ń fa ìfẹ́ láti mọ̀ mọ́ra.

Lẹ́yìn Àpẹrẹ Náà

Àkójọ Ìròyìn

Àwọn ẹ̀tọ́, àwọn ọmọ ẹgbẹ́ àti àlàyé ìmọ̀ ẹ̀rọ tí olùṣàpẹrẹ pèsè.

Àwọn Ohun Àkànṣe
AirChef Is a Drone-Enabled Meal Preparation Service Designed To Assist Busy Individuals in Planning Their Weekly Meals. By Offering Consistent and Convenient Food Delivery, AirChef Helps Save Valuable Time.
Ìwọ̀n àti Àpò
non-physical designs: 3840*2160
Àwọn Àkọlé
Drone, Real-time Tracking, AI Driven Algorithms, Meal Preparation Service, Health
Ìmọ̀-ẹ̀rọ Ìṣelọ́pọ̀
The Design of Airchef Was Developed Using a Human Centered Design Approach, Focusing on User Pain Points like Time Constraints and Meal Planning Fatigue. We Employed Design Thinking Methodologies, Including User Personas, Journey Mapping, and Iterative Prototyping, to Refine the Service. For the Drone System, Cad Modeling and Simulation Tools Were Used to Optimize Aerodynamics and Payload Capacity. Materials like Carbon Fiber Composites Ensure Lightweight Durability, While Ai Driven Algorithms Enhance Route Optimization and Meal Personalization. The Integration of Iot Enables Real-time Tracking and Seamless User Interaction via the App.

Key Terms, Human Centered Design, Ai Driven Route Optimization, Cad Modeling, Iot Integration, Carbon Fiber Composites, Meal Personalization, Real-time Tracking, Drone Technology, Aerodynamics, Iterative Prototyping.
Ìpèníjà Àpèsè
The Hardest Part of Designing AirChef Was Balancing Technical Feasibility With User-Centric Innovation. Overcoming Airspace Restrictions, Safety Certifications, and Engineering Challenges Like Meal Freshness and Payload Capacity Was Crucial. Limited Battery Life and Weather Affected Reliability. Solutions Included AI-Driven Route Optimization, Lightweight Materials, and Local Kitchen Partnerships, Ensuring Scalability, Efficiency, and a User-Friendly, Future-Ready Food Delivery System.
Ìwádìí
Type of Research: Mixed-Methods Approach Combining Qualitative and Quantitative Analysis.
Research Objectives: Understand Meal Planning Challenges and Explore Drone Technology’s Role in Food Delivery.
Methodology: Used Design Thinking, User Interviews, Surveys, and Prototyping.
Data Collection & Tools: 200+ Interviews, Google Forms, SPSS, CAD Modeling, Drone Simulations.
Results: Reduced Meal Prep Time by 70%, Improved Work-Life Balance, and Lowered Carbon Footprint.
Ìmísí
We Use Drones To Get Your Food Delivered. It is a New Concept. We Try to Corporate the Drone With Current Food Delivery Product and Make More Specializations.
Àkókò Iṣẹ́ Àkànṣe
6 Months And Los Angeles
Ìlànà Ìṣiṣẹ́
AirChef Is Simple To Use. Customers Select Meals via a User-Friendly App, and Drones Deliver Them Directly to Their Doorstep. The Drones Fly Autonomously, Avoiding Obstacles and Adapting To Weather Conditions. Interaction Happens Through the App, Where Users Track Deliveries in Real Time. The System Saves Time by Eliminating Grocery Trips and Meal Prep, Offering Fresh, Chef-Prepared Meals Tailored to Dietary Needs. Its Efficiency Comes From Smart Route Planning and Lightweight, Durable Design, Ensuring Faster, Eco-Friendly Deliveries Compared to Traditional Methods.
Àwọn Ìwé-ẹ̀rí Ohun-Ìmọ̀
N/A
Àwọn Ọmọ Ẹgbẹ́
Zhiwen Qian
Yao Li
Xianxi Liao
Jingyi Zhu
Meng Lan
Yuhan Liu
Zhijun Song
Ye Tian
Ìfọwọ́sí Àwòrán
Zhiwen Qian

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