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首页> 外文期刊>International journal of software engineering and knowledge engineering >SmartClean: Smart City Street Cleanliness System Using Multi-Level Assessment Model
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SmartClean: Smart City Street Cleanliness System Using Multi-Level Assessment Model

机译：SmartClean：使用多级评估模型的智慧城市街道清洁度系统

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摘要

Advancements in mobile, cloud computing and other techniques have made the world even smaller and connected like never before. It has become a challenge and an opportunity for cities to leverage these growing technologies to solve real city administration problems. Cities are in the transformation to become state-of-the-art smart cities using these technologies. This paper is about the automation of street cleanliness assessment in near real-time. It answers the question of how can we assess the status of streets in a more efficient and effective way. To address the problem, this paper proposes a multi-level assessment system on how the cleanliness status of streets is collected using mobile stations. They are connected via city network, analyzed in the cloud and presented to city administrators online or on mobile. The real case studies show the usability and feasibility of our system. This also gives opportunities for city residents to participate and contribute to making the city a better place.
机译：移动，云计算和其他技术的进步已使世界变得更小，并且连接前所未有。利用这些不断发展的技术来解决实际的城市管理问题已经成为城市的挑战和机遇。使用这些技术的城市正在转变为最先进的智慧城市。本文涉及近实时的街道清洁度评估自动化。它回答了我们如何以一种更有效的方式评估街道状况的问题。为了解决这个问题，本文提出了一个关于如何使用移动站收集街道清洁状况的多级评估系统。它们通过城市网络连接，在云中进行分析，然后在线或通过移动呈现给城市管理员。实际案例研究表明了我们系统的可用性和可行性。这也为城市居民提供了参与并为使城市变得更美好做出贡献的机会。

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