Real Field Deployment of a Smart Fiber-Optic Surveillance System for Pipeline Integrity Threat Detection: Architectural Issues and Blind Field Test Results

管道(软件) 软件部署 鉴定(生物学) 实时计算 计算机科学 假警报 模式(计算机接口) 领域(数学) 警报 恒虚警率 工程类 嵌入式系统 人工智能 人机交互 电气工程 操作系统 生物 程序设计语言 纯数学 植物 数学
作者
Javier Tejedor,Javier Macías-Guarasa,Hugo F. Martins,Juan Pastor-Graells,Sonia Martín‐López,Pedro Guillén,Guy De Pauw,Filip De Smet,Willy Postvoll,Carl Henrik Ahlen,Miguel Gonzalez-Herraez
出处
期刊:Journal of Lightwave Technology [Institute of Electrical and Electronics Engineers]
卷期号:36 (4): 1052-1062 被引量:78
标识
DOI:10.1109/jlt.2017.2780126
摘要

This paper presents an online augmented surveillance system that aims at real-time monitoring of activities along a pipeline. The system is deployed in a fully realistic scenario and exposed to real activities carried out in unknown places at unknown times within a given test time interval (the so-called blind field tests). We describe the system architecture that includes specific modules to deal with the fact that continuous online monitoring needs to be carried out, while addressing the need of limiting the false alarms at reasonable rates. To the best of our knowledge, this is the first published work in which a pipeline integrity threat detection system is deployed in a realistic scenario (using a fiber optic along an active gas pipeline) and is thoroughly and objectively evaluated under realistic blind conditions. The system integrates two operation modes: the machine+activity identification mode identifies the machine that carries out a certain activity along the pipeline, and the threat detection mode directly identifies if the activity along the pipeline is a threat or not. The blind field tests are carried out in two different pipeline sections: the first section corresponds to the case in which the sensor is close to the sensed area, while the second one places the sensed area about 35 km far from the sensor. Results of the machine+activity identification mode showed an average machine+activity classification rate of 46.6%. For the threat detection mode, eight out of ten threats were correctly detected, with only one false alarm appearing in a 55.5-h sensed period.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
油菜籽完成签到 ,获得积分10
刚刚
JJ发布了新的文献求助10
刚刚
zk发布了新的文献求助10
1秒前
jiajiajai完成签到,获得积分10
1秒前
yang发布了新的文献求助10
1秒前
3秒前
5秒前
设计师做做人完成签到,获得积分10
8秒前
JamesPei应助依米医意采纳,获得10
9秒前
山茶发布了新的文献求助10
10秒前
12秒前
嗯哼应助科研通管家采纳,获得20
12秒前
12秒前
Vena应助科研通管家采纳,获得10
12秒前
星辰大海应助科研通管家采纳,获得10
12秒前
李爱国应助科研通管家采纳,获得10
12秒前
Owen应助科研通管家采纳,获得10
12秒前
丘比特应助科研通管家采纳,获得30
12秒前
我是老大应助科研通管家采纳,获得30
12秒前
英俊的铭应助科研通管家采纳,获得10
12秒前
12秒前
小蘑菇应助科研通管家采纳,获得10
12秒前
Lucas应助科研通管家采纳,获得10
13秒前
shinysparrow应助科研通管家采纳,获得100
13秒前
13秒前
13秒前
13秒前
13秒前
yu发布了新的文献求助30
13秒前
zorn完成签到,获得积分10
14秒前
慕青应助木子李采纳,获得10
15秒前
H0123发布了新的文献求助10
16秒前
bot_753发布了新的文献求助10
16秒前
卷心菜投手完成签到,获得积分10
17秒前
研友_VZG7GZ应助JJ采纳,获得10
17秒前
17秒前
wangjing完成签到,获得积分10
20秒前
华仔应助结实的博超采纳,获得30
20秒前
20秒前
22秒前
高分求助中
The ACS Guide to Scholarly Communication 2500
Sustainability in Tides Chemistry 2000
Pharmacogenomics: Applications to Patient Care, Third Edition 1000
Studien zur Ideengeschichte der Gesetzgebung 1000
TM 5-855-1(Fundamentals of protective design for conventional weapons) 1000
Genera Insectorum: Mantodea, Fam. Mantidæ, Subfam. Hymenopodinæ (Classic Reprint) 800
Ethnicities: Media, Health, and Coping 700
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3087701
求助须知:如何正确求助?哪些是违规求助? 2740311
关于积分的说明 7558701
捐赠科研通 2390102
什么是DOI,文献DOI怎么找? 1267561
科研通“疑难数据库(出版商)”最低求助积分说明 613733
版权声明 598613