Smart Water: lessons learned from 4-‐years of large scale experimentation
Professor Isam Shahrour, Isam.shahrour@univ-‐lille1.fr
Translated in Chinese by Hanbinh Bian
Shandong Hydrogeology office, China December 24, 2015
智慧水:4年大型现场试验的经验
山东省水文局济南2015年12月24日
Contact-‐Follow
联系方式
Isam.shahrour@univ-‐lille1.frwww.isamshahrour.comhttps://www.linkedin.com/in/ishahrourhttp://fr.slideshare.net/ishahrour
Q1: Water Challenges ?
Q2: How the Smart Water system could help to face the water challenges
Q3: Lessons from 4-‐years of a large scale experimentation
3 Questions
三个方面的问题:
1、面临的挑战
2、如何运用智慧水系统应对面临的挑战
3、4年大型现场试验得到的经验
Greenhouse emission & global warming
World Summits (From Kyoto 2005 to Paris 2015)
温室气体排放及全球变暖
世界峰会:从2005年京都会议到2015年巴黎峰会
Changement climatique
Increase in the water stress急剧增长的水资源压力
Urban Developing countries
Urban –Developed countries
RuralDeveloping countries
The population growth人口增长
Pollution of water resources :• Industrial activity• Agriculture activity • Solid waste storage• Lack of sewage and treatment infrastructures • Sea intrusion• Over exploitation
水污染:• 工业活动• 农业生产• 固体垃圾处理• 污水处理设施的缺失• 海水入侵• 过度开采
Lack of water infrastructure• 1 billon do not have access to drinking water.• 2.5 billons do not have access to sewage service.
给排水基础设施缺失• 全球有10亿人得不到洁净饮用水• 25亿人缺乏排污系统
United States (ASCE, 2013 report):Water Infrastructures GPA = D美国工程师协会2013年报告显示,美国水相关基础设施等级为D+
Developed countries: aging water Infrastructures发达国家: 基础设施的老化问题
Water Leakage:
According to UN :Leakage -loss- rates of 50% are not
uncommon in urban distribution systems.
水渗漏:
根据联合国报告 :城市供水系统50%漏水率非常普遍
The water state is critical全球水危机非常严峻In the coming years, it could become more critical, because of the expected population growth 在未来的几年里,由于人口增加压力,水危机将更为严峻
Developed Developed
Less developed
Q1: Water Challenges ?
Q2: How the Smart Water system could help to face the water challenges
Q3:Lessons from 4-‐years of a large scale experimentation
3 Questions
三个方面的问题:
1、面临的挑战
2、如何运用智慧水系统应对面临的挑战
3、4年大型现场试验得到的经验
Continuity of the water public service: distribution, sanitation and storm water,..)
Challenges of water management
1. General challengesAsset management : How to manage and maintain huge and complex infrastructures ?Diagnostic of the infrastructure performances
水管理的挑战
1、面临的主要挑战
如何对数量庞大且复杂的基础设施进行管理和维护
对基础设施工作性能进行诊断
公共水务服务的连续性(饮用水供给、卫生系统、雨水管网等)
Reduce the energy consumption (Greenhouse emission,..)
1. General challengesProtection of water resources ( Contamination, flood, water infiltration, over-‐exploitation, …)
Information and interaction with end-‐users
Challenges of water management
1、面临的主要挑战
水资源保护(水质污染、洪水、降雨入渗、过渡开采等)
降低能耗(减少温室气体排放等)
信息化及与用户的信息交换
水管理的挑战
2. Drinking water :-‐ Reduce the leakage (rapid detection and localization)
-‐ Real time control of the water quality (accidental pollution and optimal management of the water treatment)
Challenges of water management水管理的挑战
2. 饮用水 :-‐ 减少渗漏 (快速反应及其定位)-‐ 适时水质监控 (突发水质污染及其水质优化处理管理)
3. Sewage :-‐ Dynamic management (flood, abnormal event,)-‐ Control of the water quality (identification of responsibilities,
optimal management of the water treatment,..)
Challenges of water management水管理中的挑战
3. 污水管网 :-‐ 动态管理 (洪水, 突发事件等,)-‐ 水质控制 (污染源确定, 污水处理优化管理,..)
How the Smart Technology could help to face the water management challenges ?
智慧技术如何帮助我们应对与水管理工作
中的挑战?
Digital Technology
数字技术、信息技术
Internet 互联网
Social Network 社交网络
Each object :-‐ Identified-‐ Geo-‐localized-‐ Communicate-‐ Store data-‐ Analyze data-‐ Operates action
每一个物体 :-‐ 身份确认-‐ 地理坐标-‐ 信息传输-‐ 数据存储-‐ 数据分析-‐ 远程控制
SeeAnalyzeUnderstandImprove
Real time适时传输
Smart technology in the City智慧技术在城市中的应用
可视分析理解进步
Thanks to this technology,
buried infrastructures become visible When we see things, we make progress.
基于现代技术,深埋地下的基础设施变得可见。
只有事物变得可见,我们才能进步!
More data
BIG DATA大数据
Industrial Activity
Agriculture Activity
Users
Energy providers
Emergency service
Smart technology allows:• Real-‐time monitoring• Cross the information among services• Rapid action in the case of an abnormal event (leakage, contamination,....)
• Optimal management• Users information and implication• New services
智能技术永许我们进行 :-‐ 适时监控-‐ 不同系统间的信息交换-‐ 在突发事件时进行快速反应(漏水, 污染等)-‐ 优化管理-‐ 用户提醒及用户体验-‐ 开发新的用户服务
Q1: Water Challenges ?
Q2: How the Smart Water system could help to face the water challenges
Q3:Lessons from 4-‐years of a large scale experimentation
3 Questions
三个方面的问题:
1、面临的挑战
2、如何运用智慧水系统应对面临的挑战
3、4年大型现场试验得到的经验
Large Scale demonstrator of the Smart Water System
大型智慧水示范项目
Part of a larger project “SunRise Smart City: demonstrator of the Smart City”
欧盟大型示范项目SunRise智慧城市示范项目的一部分
Innovation operators • Pole Ubiquitaire• CITC –EURARFID• PRN
Local government• AMGVF (Large
Cities association)• Lille Metropolis• Region• ArtoisComm
International:• W-‐Smart (Int. Ass. for
water Security)• US• Netherland, UK, Spain• Lebanon, Morocco
Water/Energy/Buildings operators• Dalkia• Eaux du Nord (Suez)• Eau de Paris• ERDF • Lille Métropole Habitat
Research Laboratories:• Engineering• Information technology • Social Science
Education :• Master programs• PhD programs
Starts-‐ups : Stereograph, Noolittic,Inodesign, Calmwater, Planete oui, Ixsane, Projex,
SunRise : Large public-‐private partnershipSunRise示范项目:众多的合作伙伴
Smart Cityimplementation ?
智慧城市技术直接应用?
Large Experimentation (Demonstrator)大型示范
Why we need a demonstrator 为什么需要进行示范工作
Scientific CampusSmart City Demonstrator
Small town:• 25 000 users• 140 Buildings
里尔科技大学校园:智慧城市示范区
小型社区:• 25 000 居民• 140 建筑物
100 km of urban networks100公里的市政管网
• Drinking Water• Sewage• District Heating• Gas • Electrical ( HV, LV)• Public light• Roads
• 饮用水供水管网• 污水管网• 区域供热管网• 天然气管道• 供电网络 (强电,弱电)• 市政照明• 交通网络
SunRise Community :研究团队
PhD, Master Degree Students, engineers, 博士、硕士、工程师等
SunRise PlatformInformation Sytem
Asset Data (GIS)
Analytics
Web server communication
• Users• Management staff• Technical staff• Academic Staff
Communication : • Réseaux filaires • Réseaux sans fils
Monitoring • Buildings• Water Network• Energy network
Sensors data
Users -‐ Alert -‐ Information
Users data
Open data • Weather• Traffic • Emergency
Open data
SunRise系统平台示意图
Drinking water
饮用水供水系统
Concerns: • Leakage• Real-‐time contamination detection• Users awareness
相关内容: •管网漏水•适时水质监控•用户提醒服务
TWUL Demo siteLondon
Smart BurgosBurgos
VIPLeeuwarden
Sunrise Demo siteLille
European Smart Water demonstrator SmartWater4Europe欧盟智慧水示范组成单位
Water network:15 km of pipes15公里供水管网
100 electronic Counters100只电子水表
Pressure cell Datalogger
Electronic pressure cells电子水压计
Consumption profile用水量模式
0
0,5
1
1,5
2
2,5
0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 170
Consom
mation(m
3 )
Temps (h)
Profile de consommation Modèle simplifié Limite
µ + 2σ
0
0,05
0,1
0,15
0,2
0,25
0,3
0,35
0,4
0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 170
Consum
ption (m
3 )
Time (h)
P2 (Bâtiment de Physique)
Limite Mesure
Application Building P2P2建筑物应用实例
leakage
Abnormal
Real time water quality control for detection of accidental contamination
适时水质监控突发性水质污染事件监控
41
Intellisonde S::can EventLab
Innovative devices for water quality control改进的水质监控装置
42
Emplacement des capteurs qualité
Plan of implementation试验装置布置图
Before the field implementation, we conducted analysis of the sensors performances for the detection of chemical and biological contaminations.
在进行原位安装前,我们对化学污染及生物污染监测设备进行了实验室试验检测
Injection
Point de mesure
44
Lab-‐Station for the analysis of the sensors performances for the detection of chemical and biological contaminations.化学污染及生物污染监测传感器性能实验室试验装置
45
46
Eau du robinet
Capteurs
Récupération Traitement
Réservoir
Pompe
PompeRéseau
d'assainissement
Point d’injection
Injection
Chemical contamination
-‐0,5
0
0,5
1
1,5
2
0 20 40 60 80 100 120 140 160
Chan
gemen
t de ph
ase
Temps (minutes)
化学污染
481,5
1,7
1,9
2,1
2,3
2,5
2,7
2,9
0 20 40 60 80 100 120 140 160 180 200
Turb ISO -‐[FTU
]
Temps (minutes)
Turbidity
Absorbency
E. Coli injection生物试液入注试验
105 UFC/mL
105 UFC/mL
108 UFC/mL
107 UFC/mL
Storm water雨水管网
• 长度 L: 31 km• 管径 D: 150 to 1200 mm
Bassin A 流域AS = 50 haC.I. = 0.4
Bassin B 流域BS = 80 haC.I. = 0.3
Inspection of the network管网检测
• Instrumentation• 现场监测系统布置• Modélisation• 数值仿真
Monitoring现场监测资料
Weather Station气象观察站资料
0
0,01
0,02
0,03
0,04
0,05
37 42 47 52 57 62
Débit en m3/s
0
5
10
37 47 57
Weather Station
Intensité
en
Calibration of numerical model : SWMM数值仿真模型校正
Sanitation卫生管网
12 km
EX1
4 km
Inspection of the network管网检测6 categories (levels)6个等级
Monitoring监测设备
Sonde débitmètre流量计Transmetteur
Pack Batterie电池组及发射装置
Example (2 weeks)例子(二个星期)
Daily flow日流量
3 Sep to 10 Sep 201524 Sep – 10 Oct 2015
Abnormal Event突发事件
3-‐10 Sep 201510-‐17 Sep 2015
Débit 13 Sep 2015Pluie 13 Sep 2015
Rain Event降雨事件
Conclusion结论
• Scientific and technical• 科技方面的结论• Improvement of the infrastructure management• 强化基础设施管理方面的结论
Conclusion结论
• Scientific and technical• 科技方面的结论• Improvement of the infrastructure management• 强化基础设施管理方面的结论
Drinking water :饮用水供水管网:
Hydraulic monitoring for leakage detection operates well.供水管网渗漏监测系统工作性能良好
Real-‐time control of the water quality is more complex, it yet requires more development饮用水水质适时监控非常复杂,还需进一步发展
Sewage network:污水管道系统
Hydraulic monitoring operates well. It could be used for dynamic management of sewage network.污水管网监测系统工作性能良好,可以实现对污水管网的动态管理
Real-‐time control of the water quality yet faces major difficulty 在污水水质适时监控方面仍然面临很多困难
Conclusion结论
• Scientific and technical• Improvement of the infrastructure management• 强化基础设施管理方面的结论
Detection of water leakage : November 2015侦测到供水管网在2015年11份的不正常渗漏
3-‐10 Sep 201510-‐17 Sep 2015
Débit 13 Sep 2015Pluie 13 Sep 2015
Detection of rain infiltration in the sanitation network
智能侦测到雨水侵入污管道系统
Reduction of the flood risk through improved use of infrastructure
通过加强和优化运用现有管道系统减少城市内涝
THANK YOU
谢谢大家!