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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.fr
www.isamshahrour.com
https://www.linkedin.com/in/ishahrour
http://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
Rural
Developing	
  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	
  challenges
Asset	
  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	
  challenges
Protection	
  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
See
Analyze
Understand
Improve
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	
  partnership
SunRise 示范项目:众多的合作伙伴
Smart	
  City
implementation	
  ?
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	
  Campus
Smart	
  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	
  networks
100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	
  site
London
Smart	
  Burgos
Burgos
VIP
Leeuwarden
Sunrise	
  Demo	
  site
Lille
European	
  Smart	
  Water	
  demonstrator	
  
SmartWater4Europe
欧盟智慧水示范组成单位
Water	
  network:
15	
  km	
  of	
  pipes
15公里供水管网
100	
  electronic	
  
Counters
100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
Consommation(m3
)
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
Consumption	
  (m3
)
Time	
  (h)
P2	
  (Bâtiment	
  de	
  Physique)
Limite Mesure
Application	
  Building	
  P2
P2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
Pompe
Réseau	
  
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
Changement	
  de	
  phase	
  
Temps	
  (minutes)
化学污染
48
1,5
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A
S	
  =	
  50	
  ha
C.I.	
  =	
  0.4
Bassin	
  B	
  流域B
S	
  =	
  80	
  ha
C.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
Intensitéen	
  
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	
  2015
24	
  Sep	
  – 10	
  Oct	
  2015
Abnormal	
  Event
突发事件
3-­‐10	
  Sep	
  2015
10-­‐17	
  Sep	
  2015
Débit	
  13	
  Sep	
  2015
Pluie	
  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	
  2015
10-­‐17	
  Sep	
  2015
Débit	
  13	
  Sep	
  2015
Pluie	
  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!

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Isam shahrour conference "Smart Water" at Shandong - China (translated in Chinese)

  • 1. 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
  • 3. 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
  • 4. 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
  • 5. Changement  climatique Increase  in  the  water  stress 急剧增长的水资源压力
  • 6. Urban   Developing  countries Urban  – Developed    countries Rural Developing  countries The  population  growth 人口增长
  • 7. 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
  • 8. 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
  • 9. 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
  • 10. 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
  • 11. 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
  • 12. 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
  • 13. Continuity  of  the  water  public  service:  distribution,   sanitation  and  storm  water,..) Challenges  of  water  management 1.  General  challenges Asset  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)
  • 14. Reduce  the  energy  consumption  (Greenhouse  emission,..)   1.  General  challenges Protection  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
  • 15. 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)
  • 16. 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,..)
  • 17. 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?
  • 19. 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
  • 20. See Analyze Understand Improve 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
  • 21. 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!
  • 22. More  data   BIG  DATA 大数据 Industrial  Activity   Agriculture   Activity   Users   Energy   providers Emergency   service
  • 23. 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
  • 24. 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
  • 25. 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
  • 26. 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  partnership SunRise 示范项目:众多的合作伙伴
  • 27. Smart  City implementation  ? 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
  • 28. Scientific  Campus Smart  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
  • 29. 100  km  of  urban  networks 100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
  • 30. SunRise  Community  : 研究团队 PhD,  Master  Degree  Students,  engineers,   博士、硕士、工程师等
  • 31. 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
  • 33. 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
  • 34. TWUL  Demo  site London Smart  Burgos Burgos VIP Leeuwarden Sunrise  Demo  site Lille European  Smart  Water  demonstrator   SmartWater4Europe 欧盟智慧水示范组成单位
  • 35. Water  network: 15  km  of  pipes 15公里供水管网
  • 37. Pressure  cell Datalogger Electronic  pressure  cells 电子水压计
  • 38. 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 Consommation(m3 ) Temps  (h) Profile  de  consommation Modèle  simplifié Limite µ  +  2σ
  • 39. 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 Consumption  (m3 ) Time  (h) P2  (Bâtiment  de  Physique) Limite Mesure Application  Building  P2 P2建筑物应用实例 leakage Abnormal
  • 40. 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. 41 Intellisonde                                                                                S::can                                                                                                            EventLab               Innovative  devices  for  water  quality  control 改进的水质监控装置
  • 42. 42 Emplacement  des  capteurs qualité Plan  of  implementation 试验装置布置图
  • 43. 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
  • 44. 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. 45
  • 46. 46 Eau  du  robinet Capteurs Récupération   Traitement Réservoir Pompe Pompe Réseau   d'assainissement Point  d’injection Injection
  • 47. Chemical  contamination -­‐0,5 0 0,5 1 1,5 2 0 20 40 60 80 100 120 140 160 Changement  de  phase   Temps  (minutes) 化学污染
  • 48. 48 1,5 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
  • 50. • 长度 L:    31  km • 管径 D:  150  to  1200   mm
  • 51. Bassin  A  流域A S  =  50  ha C.I.  =  0.4 Bassin  B  流域B S  =  80  ha C.I.  =  0.3  
  • 52. Inspection  of  the  network 管网检测
  • 53.
  • 55.
  • 56. 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 Intensitéen   Calibration  of  numerical  model  :  SWMM 数值仿真模型校正
  • 59. Inspection  of  the  network 管网检测 6  categories  (levels) 6个等级
  • 62. Example  (2  weeks) 例子(二个星期) Daily  flow 日流量 3  Sep  to  10  Sep  2015 24  Sep  – 10  Oct  2015
  • 63. Abnormal  Event 突发事件 3-­‐10  Sep  2015 10-­‐17  Sep  2015 Débit  13  Sep  2015 Pluie  13  Sep  2015 Rain  Event 降雨事件
  • 64. 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
  • 65. 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
  • 66. 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
  • 67. 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
  • 68. Conclusion 结论 • Scientific  and  technical • Improvement  of  the  infrastructure  management • 强化基础设施管理方面的结论
  • 69. Detection  of  water  leakage  :  November  2015 侦测到供水管网在2015年11份的不正常渗漏
  • 70. 3-­‐10  Sep  2015 10-­‐17  Sep  2015 Débit  13  Sep  2015 Pluie  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
  • 71. 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