Intelligent technologies powering clean incineration of municipal solid waste: A system review

焚化 废物管理 环境科学 烟气 过程(计算) 智能决策支持系统 工艺工程 计算机科学 工程类 人工智能 操作系统
作者
Junyu Tao,Zaixin Li,Chao Chen,Rui Liang,Shuang Wu,Fawei Lin,Zhanjun Cheng,Beibei Yan,Guanyi Chen
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:935: 173082-173082 被引量:9
标识
DOI:10.1016/j.scitotenv.2024.173082
摘要

Cleanliness has been paramount for municipal solid waste incineration (MSWI) systems. In recent years, the rapid advancement of intelligent technologies has fostered unprecedented opportunities for enhancing the cleanliness of MSWI systems. This paper offers a review and analysis of cutting-edge intelligent technologies in MSWI, which include process monitoring, intelligent algorithms, combustion control, flue gas treatment, and particulate control. The objective is to summarize current applications of these techniques and to forecast future directions. Regarding process monitoring, intelligent image analysis has facilitated real-time tracking of combustion conditions. For intelligent algorithms, machine learning models have shown advantages in accurately forecasting key process parameters and pollutant concentrations. In terms of combustion control, intelligent systems have achieved consistent prediction and regulation of temperature, oxygen content, and other parameters. Intelligent monitoring and forecasting of carbon monoxide and dioxins for flue gas treatment have exhibited satisfactory performance. Concerning particulate control, multi-objective optimization facilitates the sustainable utilization of fly ash. Despite remarkable progress, challenges remain in improving process stability and monitoring instrumentation of intelligent MSWI technologies. By systematically summarizing current applications, this timely review offers valuable insights into the future upgrade of intelligent MSWI systems.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
blenx完成签到,获得积分0
1秒前
科研通AI6.4应助kaka采纳,获得10
2秒前
健忘缘郡完成签到,获得积分10
2秒前
天天发布了新的文献求助10
4秒前
5秒前
顺顺利利完成签到,获得积分10
5秒前
细心的无声完成签到 ,获得积分10
5秒前
云端北栀完成签到,获得积分10
5秒前
cobo完成签到,获得积分10
6秒前
阿来哈哈完成签到,获得积分20
6秒前
7秒前
脑洞疼应助miyana采纳,获得10
7秒前
111完成签到 ,获得积分10
8秒前
lcyswlk发布了新的文献求助10
8秒前
9秒前
9秒前
xh应助长得像杨蕃采纳,获得10
10秒前
犹豫惜萱应助Lin采纳,获得30
10秒前
浮云发布了新的文献求助10
10秒前
Orange应助Vaxer采纳,获得10
10秒前
李健的小迷弟应助Vaxer采纳,获得10
11秒前
所所应助Vaxer采纳,获得10
11秒前
JamesPei应助Vaxer采纳,获得10
11秒前
tangyangzju完成签到,获得积分10
11秒前
11秒前
Passion08发布了新的文献求助10
13秒前
13秒前
科研通AI6.2应助琅琊为刃采纳,获得10
14秒前
shilei发布了新的文献求助10
15秒前
科研通AI6.3应助乔木自燃采纳,获得30
15秒前
16秒前
情怀应助AUM123采纳,获得10
17秒前
慕青应助云开采纳,获得10
18秒前
18秒前
BaconDan完成签到,获得积分10
19秒前
清秀的孤菱完成签到 ,获得积分10
19秒前
bkagyin应助YI采纳,获得10
20秒前
高高的寻梅完成签到,获得积分10
20秒前
黑煤球完成签到,获得积分10
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
How to Design and Conduct an Experiment and Write a Lab Report: Your Complete Guide to the Scientific Method (Step-by-Step Study Skills) 333
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6363461
求助须知:如何正确求助?哪些是违规求助? 8177390
关于积分的说明 17232734
捐赠科研通 5418609
什么是DOI,文献DOI怎么找? 2867125
邀请新用户注册赠送积分活动 1844328
关于科研通互助平台的介绍 1691850