城市固废焚烧过程智能优化控制研究现状与展望  

Research Status and Prospects of Intelligent Optimization Control for Municipal Solid Waste Incineration Process

作　　者：汤健 夏恒 余文 乔俊飞 TANG Jian;XIA Heng;YU Wen;QIAO Jun-Fei(Faculty of Information Technology,Beijing University of Technology,Beijing 100124,China;Beijing Laboratory of Smart Environmental Protection,Beijing 100124,China;Engineering Research Center of Intelligent Perception and Autonomous Control,Ministry of Education,Beijing 100124,China;Departamento de Control Automatico,Centro de Investigation de Estudios Avanzados,National Polytechnic Institute Mexico,México D.F.07360,Mexico)

机构地区：[1]北京工业大学信息学部,北京100124 [2]智慧环保北京实验室,北京100124 [3]智能感知与自主控制教育部工程研究中心,北京100124 [4]墨西哥国立理工大学高级研究中心(CINVESTAV-IPN),墨西哥07360

出　　处：《自动化学报》2023年第10期2019-2059,共41页Acta Automatica Sinica

基　　金：国家自然科学基金(62073006,62173120);北京市自然科学基金(4212032);科技创新2030-“新一代人工智能”重大项目(2021ZD0112301,2021ZD0112302)资助。

摘　　要：针对全球城市固废(Municipal solid waste,MSW)的高增长率导致城市环境持续恶化以至于“垃圾围城”现象日益增多等问题,MSW焚烧(MSW incineration,MSWI)技术能够通过发酵、燃烧、换热和净化等工艺实现废物变能源(Waste-to-energy,WTE).在当前“双碳战略”和“蓝天净土”的新环保背景下,作为未来长时期内MSW处理主流方式和生态文明建设与循环经济体系托底工业的MSWI过程正面临着重大机遇.如何融合人工智能、大数据、云计算等技术实现MSWI的智慧化、低碳化和绿色化可持续性发展是目前具有挑战性的难题.对此,本文首先描述MSWI工艺机理,分析其运行控制特性和实现其智能优化控制存在的难点;然后,从燃烧特性分析与建模、燃烧过程控制、指标建模与预测、运行监控与故障识别、操作(控制)变量优化、算法仿真验证平台等6个方面进行综述;接着,分析MSWI过程智能优化控制研究的必要性;最后,结合工业人工智能的本质给出未来研究方向.在此基础上,展望基于数字孪生平台的MSWI智能优化控制系统的框架和愿景,并总结未来挑战.The urban environment has deteriorated and garbage-surrounded has emerged because municipal solid waste(MSW)has a high annual growth rate of the whole earth.MSW incineration(MSWI)technology,which contains fermentation,combustion,heat exchange,and purification,can achieve the goal of waste-to-energy(WTE).The MSWI process,which is the essential way of dealing with MSW in the future for a long time and the supporting industry of ecological civilization construction and the circular economy system,has faced a major opportunity in the context of the“Double Carbon Strategy”and the“Blue Sky Pure Land”environmental policy.Incorporating artificial intelligence,big data,cloud computing,and other technologies to conduct smart,low-carbon,and green sustainable development of MSWI is a challenging problem.Aiming at this problem,the operational control characteristic and difficulty in realizing the intelligent optimal control are analyzed based on the typical MSWI process mechanism.Further,the status of operation control is investigated from 6 viewpoints,i.e.,combustion characteristic analysis and modeling,combustion process control,indices modeling and prediction,operation monitoring and fault identification,manipulate(control)value optimization,and algorithm simulation verification platform.Then,the necessity for making research intelligent optimization control is analyzed.Finally,the future research direction is given based on the nature of industrial artificial intelligence.In addition,the framework and future of MSWI's intelligent optimal control system based on the digital twin platform have been prospected and future challenges are summarized.

关 键 词：城市固废焚烧 双碳战略 智能优化控制 工业人工智能 数字孪生平台 

分 类 号：X705[环境科学与工程—环境工程]