Research on Design Challenges and Optimization Paths of Smart Temperature-Controlled Food Delivery Cabinets for College Students

With the rapid development of the food delivery economy, smart temperature-controlled food delivery cabinets have become an important tool for addressing food storage issues among college students. However, there remain significant design challenges in technology, user experience, and environmental adaptability. This paper systematically explores the current design status and issues of smart temperature-controlled food delivery cabinets through a literature review and case analysis, and proposes optimization paths. The study finds that the main design challenges include temperature zoning management, energy consumption optimization, privacy protection, and congestion during peak pickup times. By introducing the Theory of Planned Behavior (TPB) and a "globalization-localization" dual-dimensional framework, this paper puts forward solutions such as optimizing dynamic temperature control algorithms, improving user experience processes, and designing for cross-cultural adaptability. These solutions provide theoretical support and practical guidance for the promotion and industry optimization of smart temperature-controlled food delivery cabinets.