Smart Technology Applications and Challenges in The Construction of Smart Cities

Abstract

Due to the acceleration of global urbanisation, the construction of smart cities has become a key means of addressing the challenges of population density, resource scarcity and environmental stress. As the core technology of smart cities, the application of Artificial Intelligence (AI) in urban management, public safety, transport and energy management has dramatically improved the efficiency of city operations and service levels. For example, Singapore's smart traffic management system has significantly alleviated traffic congestion by using AI to analyse real-time traffic data and optimise signal control; China's ‘Skynet Project’ uses AI-driven face recognition and surveillance systems to effectively improve public safety; and San Francisco's smart grid system combines AI algorithms to dynamically deploy power resources, significantly reducing carbon emissions. San Francisco's smart grid system combines AI algorithms to dynamically deploy power resources, significantly reducing carbon emissions and improving the efficiency of energy management. Although AI applications show great potential in the construction of smart cities, the challenges of data privacy protection, system integration, security, and the formulation of policies and regulations still exist. The solutions proposed here are to enhance data security by promoting technical means such as data encryption and access control; to establish unified technical standards and protocols to ensure compatibility and interoperability between different systems; to adopt smart sensors and IoT devices to ensure accurate and real-time data collection as well as the government's gradual refinement of relevant laws and regulations. By analysing the above cases, this paper delves into the key challenges in the construction of smart cities and proposes feasible solutions to provide reference for the healthy and sustainable development of smart cities.