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Developing a Cyber-Physical System for Promoting Green Engineering of Solid Waste Incineration

机译:开发网络物理系统以促进垃圾焚烧的绿色工程

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Waste incineration is proved as an effective option for waste management but evokes the Not-In-My-BackYard (NIMBY) syndrome. Information and communication technologies may contribute to highly efficient, sensing monitoring and control of better waste incineration decision making. However, the application is dominated by continuous emission monitoring systems (CEMS), which has several inherent defects. This paper presents a cyber-physical system (CPS) to promote the environmental performance of waste incineration and alleviate the NIMBY syndrome. The proposed CPS comprehensively focuses on the whole process of waste incineration from waste pretreatment to pollutant emission handling the life cycle of waste incineration for pollution prevention and control. The CPS combines a group of real-time and near real-time sensing and monitoring technologies distributed in different application scenes to aid in the supervision of waste incineration so as to optimize the operational efficiency. The local stakeholders are also connected to such a CPS as part of the community-right-to-know action, with the aid of in-situ data processing, cloud storage, and cloud computing in the computer network layer of the CPS. The application layer of the CPS combines the advantages of various kinds of systems analysis models to extract the implication from big data, for the sake of improving the performance of waste incineration. Using unmanned aerial vehicles equipped with sensors for verification and post-evaluation was carried out by a “system of systems” engineering approach.
机译:废物焚烧被证明是废物管理的有效选择,但它却引起了“后院虚张声势”(NIMBY)综合症。信息和通信技术可有助于高效地监测和控制更好的废物焚烧决策。但是,该应用程序主要由连续排放监控系统(CEMS)主导,该系统具有一些固有的缺陷。本文提出了一种网络物理系统(CPS),以促进垃圾焚烧的环境绩效并减轻NIMBY综合征。拟议的CPS全面关注了从废物预处理到污染物排放的整个废物焚化过程,处理了废物焚化的生命周期,以预防和控制污染。 CPS结合了分布在不同应用场景中的一组实时和近实时感测和监控技术,以协助废物焚烧的监督,从而优化运营效率。作为社区知情权行动的一部分,本地利益相关者还与这样的CPS相关联,借助于CPS的计算机网络层中的原位数据处理,云存储和云计算。 CPS的应用层结合了各种系统分析模型的优势,从大数据中提取含义,以提高废物焚烧的性能。通过“系统系统”工程方法,使用配备传感器的无人飞行器进行验证和后评估。

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