Development and Outlook for Pipeline Inspection Robots

管道(软件) 机器人 计算机科学 系统工程 工程类 人工智能 程序设计语言
作者
Yuan Zhang,Yupeng Yang,Shuai Lu,Enwen Zhou
出处
期刊:Recent Patents on Engineering [Bentham Science]
卷期号:19 (6) 被引量:1
标识
DOI:10.2174/0118722121292206240318064149
摘要

Background: Robots for pipeline inspection are frequently employed in long-distance oil, wastewater, and natural gas pipelines. Much complex research is being conductedon pipeline inspection robots, including work on fluid-driven and non-fluid-driven, among other things. Research on pipeline inspection robots can be advanced by examining their current stage of development. Additionally, pipeline inspection robots may be able to promote the growth of the pipeline transportation sector by creating new structures. Objective: This study aims to examine the benefits and drawbacks of several pipeline inspection robots and theirdevelopment trend through the lens of the most recent advancements in the field. Methods: Through the structure and application scenarios of the latest representative patents of pipeline inspection robots, the working principle and characteristics of pipeline inspection robots are demonstrated. Results: The shortcomings of the current pipeline inspection robots are highlighted, along with potential future development pathways and research issues, by comparing pipeline inspection robots of various structures. Conclusion: The development of pipeline inspection robots has benefited the construction of sewage, oil, natural gas, and long-distance pipelines, as well as long-distance pipeline transportation. Because of these robots' unique features and ample room for advancement, pipeline inspection robots have even more development prospects.
最长约 10秒,即可获得该文献文件

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
1秒前
一直在笑发布了新的文献求助10
1秒前
1秒前
aajhajkahna应助文静凌瑶采纳,获得10
2秒前
huang完成签到,获得积分20
2秒前
大意的晓兰完成签到,获得积分10
2秒前
左耳东完成签到,获得积分10
3秒前
SciGPT应助ll采纳,获得10
3秒前
3秒前
我是老大应助散装洋芋采纳,获得10
4秒前
Cheery发布了新的文献求助10
4秒前
迷路的懒熊完成签到,获得积分10
4秒前
天荣关注了科研通微信公众号
4秒前
一目完成签到,获得积分10
5秒前
福多多完成签到,获得积分10
5秒前
科研通AI6.4应助wuwen采纳,获得10
5秒前
6秒前
DDL发布了新的文献求助10
6秒前
英姑应助sunqk0117采纳,获得10
6秒前
7秒前
zeke发布了新的文献求助10
7秒前
7秒前
刘刘刘完成签到 ,获得积分10
7秒前
俭朴苑博完成签到,获得积分0
8秒前
Tigher发布了新的文献求助30
9秒前
9秒前
9秒前
JamesPei应助Marina采纳,获得10
10秒前
zhiou完成签到,获得积分10
10秒前
11秒前
13秒前
13秒前
sheng发布了新的文献求助10
14秒前
Soen发布了新的文献求助10
14秒前
CipherSage应助zeke采纳,获得10
14秒前
JyangBiao发布了新的文献求助10
14秒前
14秒前
深情安青应助DDL采纳,获得10
14秒前
16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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
Management and the Arts 310
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7629637
求助须知:如何正确求助?哪些是违规求助? 9204013
关于积分的说明 19736623
捐赠科研通 7199062
什么是DOI,文献DOI怎么找? 3274298
关于科研通互助平台的介绍 2436431
邀请新用户注册赠送积分活动 2270449