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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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

Ⅰ

Ⅱ

Ⅱ

Ⅳ

ⅢⅢ Ⅳ

Ⅰ

Ⅱ

ⅢⅢ

Ⅱ

Ⅳ

Ⅳ

Ⅳ Ⅳ

Ⅰ ⅠⅢ

Ⅲ

Ⅲ

Ⅳ

Ⅳ

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