In the current time, the immense growth in population creates unhygienic environment for the citizen of a society with respect to waste generation. This rapid generation of waste leads to various infectious diseases in the environment. As followed by the traditional municipal system, in our surroundings, we can see over flooding of solid waste in the garbage bins. Solid waste management is a pivotal aspect in traditional systems and it is becoming dangerous in most populated areas. Arduous labor works and costs are required to manage and monitor garbage bins in real time. To maintain the cleanliness of a city and for real-time monitoring of trash bins, a smart bin mechanism (SBM) for smart cities is proposed in this paper, which is based on Artificial Intelligent of Things (AIoT). The SBM works on the 3R concept, that is, Reduce, Recycle, and Reuse. The SBM has the access to get real-time information about each bin and avoid overloading of these bins. The proposed framework reduces the labor cost and saves time and energy of the system. It also reduces the rate of disease infections by keeping the cities clean. Fuzzy logic is used for decision-making in selecting appropriate locations in the cities to install trash bins. The framework is implemented in the multiagent modeling environment, that is, NetLogo.

中文翻译：

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基于AIoT的智能垃圾箱实时监控和管理固体废物

当前，人口的巨大增长在废物产生方面为社会公民创造了不卫生的环境。这种废物的快速产生导致环境中的各种传染病。遵循传统的市政系统，在我们周围的环境中，我们可以看到垃圾桶中固体废物的泛滥。固体废物管理是传统系统中至关重要的方面，并且在大多数人口稠密地区正变得危险。实时管理和监视垃圾箱需要艰巨的劳动和费用。为了维持城市的清洁度和对垃圾桶的实时监控，本文提出了一种基于人工智能的智能城市的智能垃圾桶机制（SBM）。SBM采用3R概念，即减少，回收，和重用。SBM可以获取有关每个存储箱的实时信息，并避免这些存储箱过载。所提出的框架降低了人工成本并节省了系统的时间和能量。通过保持城市清洁，还可以降低疾病感染率。模糊逻辑用于在城市中选择合适的位置安装垃圾桶时进行决策。该框架是在多主体建模环境即NetLogo中实现的。