Smart City Research Progress of SZU - Service - WKO.at€¦ · Dynamic analysis of urban big data,...
Transcript of Smart City Research Progress of SZU - Service - WKO.at€¦ · Dynamic analysis of urban big data,...
Smart City Research Progress of SZU
Dr. Jiasong Zhu
2017/3/21
Background
SZU in 1984
Background
Founded in 1983
Two campuses, 2.9 square kilometers of land area in total.
25 colleges, including science, engineering, education, etc.
35,000 fulltime students and 2,800 staff
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IMU
Background
Explosive spatial-temporal data pose new challenges to research, technologies, and industries
01 Supported by Shenzhen University, and Shenzhen Science and Technology Innovation Committee in 2013.
02 Focused on key science and technology topics of the capturing, integration, analysis, and application of multi-source spatio-temporal data.
03 Dedicated to the study of industrial solutions in fields including engineering survey, ITS, urban planning, environment protection, and other smart city applications.
Background— Shenzhen Key Laboratory for Spatial Smart Sensing & Services
Coastal zone planning
Public service Ecological protection
Coastal zone development
Sustainable development of coastal zone necessitates new geo-environment monitoring technologies
Geo-Environmental monitoring of coastal zone
Background — Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the National Administration of Surveying, Mapping, and Geo-Information
SZU
UPLR Commission Shenzhen
HKPU
CUHK
Background — Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and Geo-Information
Director:
Prof. Qingquan Li — The President of Shenzhen University, Chief scientist of 973
project (national key research project), academician of Euro-Asian Academy of Science
Members:
10 Professors/Associate professors
About 20 Post-doctors
15 PhD candidates
25 Postgraduate students
Research Group
Working area for students Working area for post-doctors Meeting room
Offices Exhibition lobby Relax area
Area: Approximate 1600m2
Facilities
UAV-based small LiDAR system Coastal land/water survey system
Underwater hyperspectral profiler Smart railway checking system ASD spectroradiometer
Multi-beam echo sounder Long range 3D laser scanner
MODIS ground receiving station
Instruments and Devices
Research field Ⅰ:multiple-sensor integration and innovative survey technologies
Data acquisition based
on multi-sensor
integration on various
platforms
Data processing
algorithm and methods
Support professional
solutions
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粗分割
特征显著区域
子块分割
无特征显著区域的子块归类
有特征显著区域的子块归类
Rail damage and clip status checking
Outcome-1: Smart railway checking system
Tunnel deformation monitoring
UAV-based small LiDAR survey system
3D modeling using LiDAR point cloud data acquired by UAV Aerial image of Shenzhen University
Island survey using UAV
Outcome -2: Data acquisition and modeling based on UAV system
Multi-source spatio-
temporal data
acquisition and
integration
Data mining and
knowledge discovery
Dynamic analysis of
urban big data, and
smart city applications
Research field Ⅱ: Spatio-temporal data mining and analysis
Car GPS trajectory data
Loop detector
AVI data
Transit Card data
Mobile phone
location data
Social network
data
Map road POIs
Social basic data
Dynamic OD Survey
Dynamic traffic demand analysis
Outcome -1: Spatio-temporal data analysis and visualization
Congestion identification
Location scheme for charging stations of electronic cars
A analysis and visualization platform for spatio-temporal data
Monitoring of social events transmitting online
Outcome -2: Spatio-temporal analysis based on social networking data
Refined analysis of POI diversity and block prosperity using mobile phone data
Social network connection of Chinese cities
Research field Ⅲ:Location based service and ITS
Public and private
location based services
using various sensors
Intelligent navigation
and transport services
based on dynamic
information
Logistics oriented
moving objects
management and
optimization
Spatio-temporal trajectory analysis and activity sequence extraction
Automatic indoor mapping robot using slam method
Indoor map generation based on crowd sourcing
Outcome -1:Intelligent navigation and location based service
Smartphone platform
Intelligent framework for logistics distribution services under dynamic traffic environment
Optimization methods for multi-warehouse logistics
distribution
Route optimization for multi-warehouse logistics distribution
Logistics expense and service
level binary utility model
Spatio-temporal heuristic method
for vehicle routes optimization
Outcome -2:Logistics system optimization
Coastline seamless survey technology
Coastal geo-
environmental dynamic
monitoring and
analysis
Data management and
analysis of coastal geo-
environment
Intelligent decision
support and service of
coastal environment
management
Research field Ⅳ : Geo-environmental monitoring of coastal zone
System composition
Underwater terrain Laser point cloud models of coastal urban constructions
Complete land & water 3D model
Outcome -1: Coastal land-water integrated survey system
Outcome -2:Land-use classification and wetland monitoring based on remote sensing
Land use types along east coastline (1988)
Wetland distribution along east coastline (1988)
Wetland distribution along east coastline (1996)
Land use types along east coastline (2011)
Wetland distribution along east coastline (2005)
Wetland distribution along east coastline (2011)
Mangrove Research site at Shenzhen Bay
Field study
Landsat-8
Spot-5
Radarsat-2
Land cover mapping
Mangrove species distribution
Outcome -3:Mangrove monitoring based on multi-source remote sensing
Organized the workshop on spatial smart sensing and services (2 sessions ) .
Hosted ISPRS Working Group 7 Session.
Hosted the 13th“International traffic science and technology annual meeting”.
Organize academic exchanges from the USA, UK, Japan and Hongkong (more than 30 times).
Hosted 2015 ISPRS Scientific Initiative---Open Data Challenge Contest.
Hosted 2016 “National seminar about ocean color remote sensing in II level waters, China”.
Sponsored more than 30 open funding projects.
Exchanges
Established collaboration with local government: DoT, Urban Planning and Land Resources Bureau,
Social Work committee, South China Sea Institute of Oceanology, Chinese Academy of Sciences, etc.
Participated Shenzhen international smart transportation annual meeting, China Hi-tech Fair
Collaborate with some companies, such as Tencent and Huawei in various fields.
Collaboration
Microblog:SZU_Spatial_Lab WeChat:SZU_spatiallab
Thank You!
http://spatial.szu.edu.cn