19/11/2018. Engineering Perspective of Geo-Spatial Intelligence in Smart City. Huang Qian 19 November 2018
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1 P1 Engineering Perspective of Geo-Spatial Intelligence in Smart City Huang Qian 19 November 2018 P2 1
2 What is a Smarter City? Information Intelligent Digitization Networking Wisdom Controller Sensor Energy Green Livable Ecology Sensor Controller Physical Biodiversity Emission reduction P3 What Computers Do: Model, Connect, and Engage 建模 (Model) AI Big Data P4 Butler Lampson A.M. Turing Award Laureate Technical Fellow at Microsoft Corporation Adjunct Professor of Computer Science and Electrical Engineering at MIT 联结 (Connect)! #"$% 参与 (Engage) &'(*)'(+,-. / 2,0. /% 5G IoT Digital Twins 2
3 Connection, more and faster Control Information World Mathematical Model Mathematical Model Virtual Represent Internet of People Internet of things ID Real World Object P5 C20181A45GDEFGHIJKLMNOP Engage, interactive and automatic P6 Depth perception Edge calculation Time-space migration Collaborative control network 3
4 dynamic Model, Geo-Spatial Big Data Temporal Agent Based Discrete Event Simulation System dynamics Mutil- Domain Intgeration BIM Mutil-D P7 static City General Indicator Micro Point Q0-DR transportatio n network underground pipe network Line Q1-DR Function Zoning Land use Polygon Q2-DR Simple Small Body Q3-DR Complex Big Spatio Macro Evolution of new Geo-Spatial Technology Earth Observation Network IoT BIM GeoDesign Cooperative object network GeoMonitor Geo-Spatial Technology GeoControl GeoModeling Data Model Math Model sensor Geo System controller P8 4
5 Geo-Spatial Intelligence Structure and Mechanism xyzy{ } ~ ƒ {yƒ op (system) [\ (tools) YZ (organization) _`ab T cdefghiff jdkilmfn ]^ (process) q r (E nv) }ƒ ƒ ˆ {y z uv st (fusion) Š ST (discover) Geo-Spatial Intelligence UV (foresight) P9 w WX (insight) Š { {Œ Can we reform traditional transportation? š œ žÿ žš ž œ Žƒ y{yƒ y y } y {yz {yƒ žÿ žš ž ª «Ÿ P10 xy yž }{y y yz ƒ { Ž{yƒ z { z ƒ ƒ y { Ž z { y ƒ ƒ y ƒ {y {yƒ 5
6 System Analysis 5 /0% ±²³ µ ) Ëê ë ìíîôïã ðñòó ¹º»¼½¾ ÀÁÂÃ Ä QÅÆÇÈÉÇODÇÊËÌR â ã äå 0% (æç èé) ö øù úû ôê õíï Áïà ÍÎÏнÑÒÓÔÕÖ ÔÕ ÕÔ Ä (ØÙÇÚÛÜÝÞÇßàáR üà ï ÔÁýÕ þÿ P11 Tech Stack App Layer!"#$%&'$"& ($)*%*" $)""*%%")$ + ($%*," -"%&./)&*" 0*"&$"")$ 0 ",$'$"& 12$.&*"3 0",$'$"& 0.4$& -.$ *& Tech Layer Scientific Support Industry Revolution Transformation & Upgrading Smart Operation & Maintenance Community Service Data Layer Big Data Processing and Sharing Platform P12 6
7 Case 1,Remote Sensing Recognition P13 Algorithm, Generative Adversarial Networks 生成器 : 生成以假乱真的图像 鉴别器 : 尽可能鉴别真假 当鉴别器无法区分真假时, 模型训练完毕 DEFG <=>?8=@=79:;8 A;8BC :;8 JKDE P14 HIFG 7
8 Multi-scale fusing Model Fusing LM 多框架 多参数 多模型 LM LM NL 噪声少 连续性好 P15 Post-treatment, Rattlesnake 利用自动生长 响尾蛇 等算法, 实现路网的自动连接 OPHQ OPHQ RSTUV P16 8
9 Building Recognition P17 Xiamen P18 9
10 Faster 以 25 平方公里的区域为例, 人工勾画路网需 8 小时 / 人, 利用机器学习自动提取, 结合半自动化的后处理, 仅需半小时 / 人 _ ^ ] l h\ k[ j iz hy X W `abc defg P19 Better mnopqr stqr P20 10
11 Algorithm in Smart Maintenance 养护 uvwx uvyz P21 Traffic Volume Forecast ª«š œ ž µ ¹ ƒ ˆ Š Œ ˆ ƒž ˆŠ ŽŠ Œ Œ Š Œ Š ª«{ à}~ Ÿ { ƒ ˆ Š Œ ˆ ƒž ˆŠ ŽŠ ¹³ÝÞ Œ Œ Š Œ Š ƒ ÚÉ ˆ Š Œ ˆ ƒž ˆŠ ŽŠ Œ ±²ÝÞ Œ Š Œ Š P22 11
12 交通量 ½¾ À ½¾ Á ½¾  recurrent neural network(rnn) º» ¼ º» ¼ º» ¼ º» ¼ º» ¼ º» ¼ ½¾ ¾ ½¾ ½¾ ½ 交通量影响因子 Synthetic control method P23 Traffic Volume Forecast Platform 山西省全路网交通量预测 福建省拟建高速公路交通量预测 P24 12
13 P25 工具 (tools) ÃÄ(algorithm) Åã(software) ÆÇ(system) Engineer Framework for Smart City ÈÉ(customer) ÆÇÊIË(developer) ÌÍÎÏ(domain expert) :ÐÑÒÏ(data scientist) ÓÔÕÖË(tools provider) :ÐÕÖË(data provider) Artificial Intelligence/ IoT. 主体 (subjects) ßàáâ Computer Engineer ÛÜ Õí (information extraction) (individual portrait) ãä (heterogeneo us) Ø (individual) åàáâ (group portrait) æäçä (classificatio n; clustering) ÝÞ(Knowledge) (relation-rule-pattern) ÙØ (group) ÛÜ(Information) (entity-semantic-structure) % èàáâ (ensemble portrait) éúêë (aggregation structure) ÚØ (ensemble) Urban Planning/ Smart City ÝÞ îï Knowledge condense 客体 (objects) :Ð ìý (data sense) Geospatial Intelligence Helps City Smarter GeoDesign GIS GeoControl GeoModeling GeoMonito r Reference ýü Measured Error ôõö Controler ùúûÿ System Input ðñòó Geo-System ùúûü System Output P26 ýþûü Measured Output øö Sensor Feedback 13
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