London Design Gold

2025

Digital & Intelligent System for Park Management (DIS)

Entrant

China Mobile Software Technology Co., Ltd

Category

User Interface Design (UI) - Web Applications / Services

Client's Name

-

Country / Region

China

About The Entry

Amid the global wave of digitalization, the Digital & Intelligent System for Park Management (DIS) places technology-enabled experience at its core, providing a digital-intelligent solution that combines breakthrough innovation with human-centric warmth.

Transcending traditional single-dimensional data presentation, the system constructs an immersive 3D digital twin world to present complex data on energy consumption, networks, and operations within the park for efficient management. Built on the self-developed O&M large language model (LLM), it achieves second-level fault response and resolution via AI-driven automatic repair, improving fault diagnosis and handling accuracy by 50-70%. In terms of interface design, park layouts, server rooms, and equipment connections are displayed in layers with refined visual language, making intangible data flows and equipment status intuitively perceptible. This approach avoids mechanical rigidity while highlighting data value, helping establish an end-to-end collaborative management system.

Fault handling is streamlined into just two steps to improve response efficiency, paired with color and motion effects for clear feedback. Visitor passes are categorized by access levels and embedded with unique micro-identifiers to optimize service coordination, making professional management more accessible and reflecting deep insight into user experience.

The system reduces park energy consumption by up to 45%, embodying its commitment to sustainability through technological practice. Moreover, it empowers industry transformation through a scalable and replicable "AI + Digitalization + Intelligent Agent" solution. It demonstrates multifaceted value from technological breakthroughs to human-centric care, and from efficiency gains to ecological contributions.

Featured Media

Credits

Dong Ruoyun
Li Mengjia
Li Chi
Chen Chuyi
Li Jing
Gu Yangkuo
Li Shoujun
Zhang Wenyong
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