WEBVTT 1 00:00:14.130 --> 00:00:19.150 I think that's the way it has been for years. 2 00:00:19.150 --> 00:00:23.610 So this team is working on some of the big data research 3 00:00:23.850 --> 00:00:31.960 And that includes when we're doing some smart city planning for countries and places. 4 00:00:32.180 --> 00:00:33.640 A lot of feelings 5 00:00:33.640 --> 00:00:37.870 So here, I would like to make an exchange with all the teachers and students. 6 00:00:38.700 --> 00:00:44.500 Well, there are some students in it, some of which may have been said on other occasions. 7 00:00:46.040 --> 00:00:48.790 The teacher may have said something here. 8 00:00:48.910 --> 00:00:53.400 So, because what we are talking about today is mainly about the content of our classmates. 9 00:00:53.830 --> 00:00:55.640 So I'm going to talk about three aspects. 10 00:00:55.640 --> 00:00:57.640 One is the arrival of the big data era. 11 00:00:57.850 --> 00:01:04.430 The second is that big data provides an opportunity for the construction and sustainable development of our smart city. 12 00:01:04.430 --> 00:01:06.260 Revolutionary opportunity 13 00:01:06.520 --> 00:01:12.080 The third aspect is based on big data's wisdom of urban planning and construction. 14 00:01:12.300 --> 00:01:14.730 Then I think I have big data in the front. 15 00:01:14.980 --> 00:01:16.590 Let's start with such an era. 16 00:01:16.590 --> 00:01:19.600 And then we're going to talk about what we're doing now. 17 00:01:21.660 --> 00:01:24.080 Then the coming of big data's time 18 00:01:24.080 --> 00:01:25.700 So what's big data in here 19 00:01:25.700 --> 00:01:28.710 I miss the teachers 20 00:01:28.710 --> 00:01:30.480 Everyone may also be very clear. 21 00:01:30.480 --> 00:01:34.980 So we are now surrounded by such a big data. 22 00:01:34.980 --> 00:01:37.120 Some data on various aspects 23 00:01:37.330 --> 00:01:38.870 So what do you know about big data 24 00:01:38.870 --> 00:01:41.890 So to emphasize, first of all, to emphasize that it is an unstructured. 25 00:01:41.890 --> 00:01:43.650 Not like our statistical yearbook 26 00:01:43.850 --> 00:01:46.640 So it's an unstructured data 27 00:01:46.910 --> 00:01:51.070 And it is a state of continuous renewal. 28 00:01:51.070 --> 00:01:53.530 Then we are sitting in the classroom now. 29 00:01:53.530 --> 00:01:55.490 Some of your classmates are sending wechat messages. 30 00:01:55.490 --> 00:01:58.040 So this is going on and on and on and on and on and on and on and on and on and on and on and on and on and 31 00:01:58.280 --> 00:01:59.680 Big data has another characteristic. 32 00:01:59.680 --> 00:02:02.320 It is available in real time. 33 00:02:02.480 --> 00:02:08.640 So you do some research like some of us, some of our teachers do. 34 00:02:08.640 --> 00:02:14.460 He did a number of industrial and commercial enterprises, such a number of mining such a number of enterprises data. 35 00:02:14.460 --> 00:02:15.880 And millions 36 00:02:15.880 --> 00:02:16.960 Even tens of millions 37 00:02:16.960 --> 00:02:22.250 But these things actually, it's not exactly big data. 38 00:02:22.250 --> 00:02:27.030 So the real big data, it is constantly updated. 39 00:02:27.030 --> 00:02:30.220 So, including some video surveillance, and so on. 40 00:02:30.270 --> 00:02:30.830 In this way 41 00:02:31.040 --> 00:02:32.770 So for the characteristics of big data 42 00:02:32.910 --> 00:02:36.450 IBM first defined a large number. 43 00:02:36.450 --> 00:02:39.130 Variety and speed update fast 44 00:02:39.130 --> 00:02:44.010 Then later, the international data company added a data value. 45 00:02:44.180 --> 00:02:45.250 Value of data 46 00:02:45.480 --> 00:02:49.960 So, relatively speaking, our value to the data now. 47 00:02:49.960 --> 00:02:52.840 So our knowledge of the city subject 48 00:02:52.840 --> 00:02:55.900 I think for us to plan the subject. 49 00:02:55.900 --> 00:02:58.760 The value of the data has always been a deep understanding. 50 00:02:58.760 --> 00:03:05.970 Because of our planning, I think it is a data-intensive such a subject. 51 00:03:05.970 --> 00:03:09.340 Because we go out and do research from population data 52 00:03:09.340 --> 00:03:12.290 We're going to have access to all kinds of data 53 00:03:12.290 --> 00:03:13.990 So the data is for us 54 00:03:14.300 --> 00:03:18.150 The value is that we have always known better. 55 00:03:19.390 --> 00:03:21.050 So what did big data bring us? 56 00:03:21.050 --> 00:03:28.560 There are a lot of international works like some fashionable ones. 57 00:03:28.560 --> 00:03:36.860 That explains what big data has done to our whole global socio-economic lifestyle. 58 00:03:36.860 --> 00:03:37.670 Some changes 59 00:03:37.670 --> 00:03:41.850 So this is especially important here. 60 00:03:42.380 --> 00:03:43.940 Just like we do traditional research 61 00:03:43.940 --> 00:03:47.290 We have to go to some phenomena. 62 00:03:48.240 --> 00:03:52.550 By doing some cases to find out its influence factors. 63 00:03:52.550 --> 00:03:55.910 And then find out its influence mechanism. 64 00:03:55.910 --> 00:03:59.640 Then big data may have discovered more of this phenomenon first. 65 00:03:59.640 --> 00:04:01.980 Find a connection between the two 66 00:04:02.330 --> 00:04:06.990 Then go to find some of its internal factors and mechanisms. 67 00:04:06.990 --> 00:04:11.540 So this is a new way of thinking, this kind of change. 68 00:04:12.340 --> 00:04:14.980 Then big data may have brought us a lot of changes. 69 00:04:14.980 --> 00:04:16.780 Including health 70 00:04:17.380 --> 00:04:18.290 Including health 71 00:04:18.290 --> 00:04:22.360 So, we are also concerned about health. 72 00:04:22.360 --> 00:04:27.810 So now the idea is that we are suitable for Nanjing university hospital. 73 00:04:27.810 --> 00:04:35.490 So we go to find some teachers, some medical care, some hospitals, some basic. 74 00:04:35.490 --> 00:04:36.270 Data 75 00:04:36.270 --> 00:04:41.470 So with the characteristics of his profession and his subjects 76 00:04:41.470 --> 00:04:43.690 Then there is its living environment. 77 00:04:43.690 --> 00:04:45.400 To find some connection between this 78 00:04:45.400 --> 00:04:49.250 Want to explore some of these living health and community. 79 00:04:49.250 --> 00:04:51.170 Some relationships, including, etc. 80 00:04:51.580 --> 00:04:54.240 Then there are some public sector governance. 81 00:04:54.240 --> 00:04:57.530 This piece will also bring a lot of changes to big data. 82 00:04:57.530 --> 00:05:01.570 There are also some individuals such as this location data. 83 00:05:01.760 --> 00:05:05.970 And retail data, manufacturing, intelligent manufacturing, and so on. 84 00:05:05.970 --> 00:05:09.200 Will give us social and economic development in all walks of life. 85 00:05:09.200 --> 00:05:12.270 Great changes have taken place in the lives of the inhabitants. 86 00:05:12.270 --> 00:05:13.720 So this piece of big data 87 00:05:14.230 --> 00:05:17.740 Many businesses are very sensitive. 88 00:05:19.140 --> 00:05:23.580 So our traditional source of data is very clear. 89 00:05:23.640 --> 00:05:27.680 We have to contact these data when we are planning. 90 00:05:27.680 --> 00:05:31.670 So we want to get the data 91 00:05:31.670 --> 00:05:35.640 We had to run to various departments. 92 00:05:35.640 --> 00:05:38.380 Ask grandpa to tell grandma to ask them for the data. 93 00:05:38.380 --> 00:05:41.180 Need data to statistical yearbook statistical Bureau 94 00:05:41.180 --> 00:05:47.130 So we now have drones in many units to get all kinds of data. 95 00:05:47.430 --> 00:05:50.190 So now some new data sources 96 00:05:50.490 --> 00:05:55.820 Then include some of these telephone and telecommunications suppliers. 97 00:05:55.900 --> 00:05:59.520 Then the Internet operators also have some Internet sites. 98 00:05:59.720 --> 00:06:01.900 The government's website. 99 00:06:01.900 --> 00:06:04.510 There is also some data on business and public services. 100 00:06:04.510 --> 00:06:06.830 Some data like bus IC card 101 00:06:06.830 --> 00:06:09.830 Including our health insurance and so on 102 00:06:10.020 --> 00:06:17.830 And we are now building a smart city with sensors everywhere. 103 00:06:17.830 --> 00:06:20.360 So, in fact, get some of these data. 104 00:06:20.360 --> 00:06:23.750 And some of this data for mobile terminals 105 00:06:23.750 --> 00:06:31.570 Like our smartphones, we have been doing some research in smart cities over the past few years. 106 00:06:31.570 --> 00:06:32.920 Work 107 00:06:32.920 --> 00:06:35.500 So now a lot of enterprises are looking for us. 108 00:06:36.810 --> 00:06:40.300 Including some companies specializing in data. 109 00:06:40.300 --> 00:06:42.710 Then there was a business that came to me 110 00:06:42.710 --> 00:06:50.880 He said he has mobile phone data for 99 percent of the country's smartphone users. 111 00:06:50.880 --> 00:06:56.370 That is to say, you just download an app, all you have, some of which are used like this. 112 00:06:56.370 --> 00:06:57.530 In some cases 113 00:06:57.910 --> 00:07:01.250 Some of the features used in this data. 114 00:07:01.250 --> 00:07:03.110 He's got it all over him 115 00:07:03.760 --> 00:07:06.020 So that means that this is also very terrible. 116 00:07:06.690 --> 00:07:12.160 On the one hand, we feel that the data bring us some opportunities to study. 117 00:07:12.160 --> 00:07:16.820 On the other hand, data may also bring a lot of interference in our lives. 118 00:07:16.820 --> 00:07:19.420 Because there are personal location data in this 119 00:07:19.420 --> 00:07:20.880 Including what kind of goods did you buy? 120 00:07:20.880 --> 00:07:22.340 When did you buy it? 121 00:07:23.380 --> 00:07:25.200 How many pieces did you buy? 122 00:07:25.780 --> 00:07:27.550 What software did you download? 123 00:07:27.550 --> 00:07:32.300 Where to download the location, the content is clear. 124 00:07:33.030 --> 00:07:36.830 Then there are some data, including some new satellite cloud maps. 125 00:07:38.160 --> 00:07:45.340 So now, many cities from international to domestic are doing some of the construction of smart cities. 126 00:07:45.340 --> 00:07:48.470 It's all about raising the standard of public service. 127 00:07:48.470 --> 00:07:51.970 In order to create a better life for the people. 128 00:07:53.000 --> 00:07:54.030 A better life 129 00:07:54.030 --> 00:08:01.130 You like Taipei, he pays attention to one of its big bright spots. 130 00:08:01.130 --> 00:08:03.340 The 1999 hotline 131 00:08:03.340 --> 00:08:09.570 This is a star project when Hao Longbin was mayor of Taipei city. 132 00:08:09.770 --> 00:08:13.840 So he integrated the original decentralized hotline. 133 00:08:13.860 --> 00:08:16.130 Make life easier for ordinary people 134 00:08:16.130 --> 00:08:18.480 Not including other aspects 135 00:08:18.480 --> 00:08:23.770 So this is a traffic information center where we went to visit it 136 00:08:24.120 --> 00:08:27.030 See some of them including intelligent transportation. 137 00:08:27.030 --> 00:08:29.330 So some of these management platforms 138 00:08:29.520 --> 00:08:33.420 There are some smart bike services and so on. 139 00:08:36.880 --> 00:08:41.700 So, like this is Amsterdam's smart city. 140 00:08:41.700 --> 00:08:42.960 The city of wisdom in Amsterdam 141 00:08:42.960 --> 00:08:47.470 What he has done is also very bright in Europe. 142 00:08:47.520 --> 00:08:52.400 So here is a description of its data and a system platform building. 143 00:08:52.700 --> 00:08:55.330 So when he was a city of wisdom 144 00:08:55.600 --> 00:08:58.890 He is through the construction of such a platform. 145 00:08:58.890 --> 00:09:02.510 ... data and resources for decentralized departments. 146 00:09:02.580 --> 00:09:05.220 Each system can be integrated into a platform. 147 00:09:05.850 --> 00:09:10.500 So this is what we are doing now in the construction of China's smart city. 148 00:09:10.500 --> 00:09:16.260 But there is hardly a city that can do this. 149 00:09:16.260 --> 00:09:20.790 So the Ministry of housing and construction has also launched three trials of smart cities in three years. 150 00:09:20.790 --> 00:09:24.570 So we ran, and I ran a lot of houses. 151 00:09:24.570 --> 00:09:26.200 So many cities to see 152 00:09:26.200 --> 00:09:27.790 Some cities are doing well. 153 00:09:28.140 --> 00:09:31.450 But it was just that this first set up the platform. 154 00:09:31.450 --> 00:09:33.730 The data is not in line at all. 155 00:09:33.730 --> 00:09:36.270 Talk to others about integration 156 00:09:36.270 --> 00:09:38.720 But this is a big trend. 157 00:09:39.050 --> 00:09:39.670 Trend 158 00:09:39.870 --> 00:09:42.550 So like this is a trash can 159 00:09:42.550 --> 00:09:46.320 It is also very common for such a municipal facility. 160 00:09:46.320 --> 00:09:50.230 But he put sensors in an old trash can like this 161 00:09:50.230 --> 00:09:55.040 Then you can sense a change in the amount of trash inside. 162 00:09:55.220 --> 00:09:56.790 Including its smell 163 00:09:56.790 --> 00:10:00.260 Including some temperature, humidity and so on. 164 00:10:00.480 --> 00:10:03.790 And feed this information back to the command center 165 00:10:03.790 --> 00:10:08.330 Data based on such features. 166 00:10:08.570 --> 00:10:13.020 To dispatch vehicles and personnel in a timely manner 167 00:10:13.020 --> 00:10:18.050 So it saves a lot of human cost. 168 00:10:18.050 --> 00:10:20.030 It also reduces carbon emissions. 169 00:10:20.330 --> 00:10:23.880 Because of this kind of fixed point cleaning way before. 170 00:10:23.880 --> 00:10:28.590 So it's more intelligent than that. 171 00:10:30.390 --> 00:10:35.040 So like this time Chicago installed sensors on the streets 172 00:10:35.040 --> 00:10:43.310 So to measure all kinds of temperature, humidity, light, sound, air quality and so on. 173 00:10:43.310 --> 00:10:44.330 Some changes 174 00:10:44.700 --> 00:10:47.480 So, for some of these big data analysis. 175 00:10:47.480 --> 00:10:53.960 In order to provide such a management of the city, such a technology to support the data support. 176 00:10:54.190 --> 00:10:56.660 And a city including Portugal 177 00:10:56.660 --> 00:10:58.700 Is its intelligent building monitoring. 178 00:10:58.890 --> 00:11:02.060 So, this is to say, including the monitoring of intelligent buildings. 179 00:11:02.470 --> 00:11:07.620 There are also many cities in China trying to build smart buildings. 180 00:11:07.620 --> 00:11:13.860 Then, the state department of housing and construction has also introduced such a smart building design of such a number of norms. 181 00:11:13.860 --> 00:11:14.460 Wait 182 00:11:14.670 --> 00:11:17.100 Then the technical standards have come out. 183 00:11:17.410 --> 00:11:23.310 So this is for the digital history of Vienna including the history of the block there is no? 184 00:11:23.310 --> 00:11:26.270 Its this is also the protection of the ancient city. 185 00:11:26.270 --> 00:11:33.540 So, with the help of some information technology to its every building historical sites. 186 00:11:33.540 --> 00:11:34.020 Gather 187 00:11:34.020 --> 00:11:35.380 Including its location 188 00:11:35.380 --> 00:11:36.560 Including some of its temperature 189 00:11:36.560 --> 00:11:40.860 Each component can be managed dynamically and digitally. 190 00:11:40.860 --> 00:11:46.560 So this piece is also a very typical case. 191 00:11:46.810 --> 00:11:47.970 And Brazilian 192 00:11:48.260 --> 00:11:52.500 Brazil's smart city, it does the characteristics. 193 00:11:52.500 --> 00:12:00.680 It is now IBM has made it a very large one, the world's first intelligent city one. 194 00:12:00.680 --> 00:12:01.530 Command center 195 00:12:01.530 --> 00:12:03.260 A big screen 196 00:12:03.540 --> 00:12:05.200 Later, many cities in China. 197 00:12:05.200 --> 00:12:09.440 Including nankyoto learning the big command platform of Brazil 198 00:12:10.040 --> 00:12:10.480 Why 199 00:12:10.480 --> 00:12:12.420 Because the leader looks convenient 200 00:12:12.700 --> 00:12:13.930 All kinds of things 201 00:12:14.420 --> 00:12:18.360 The data stream saw every place and it divided many pieces. 202 00:12:18.640 --> 00:12:19.080 Traffic 203 00:12:19.080 --> 00:12:20.160 Latticed 204 00:12:20.310 --> 00:12:26.270 There are other areas of various dynamic monitoring can be seen. 205 00:12:26.270 --> 00:12:29.590 But this is more of a display platform. 206 00:12:29.590 --> 00:12:35.540 Sometimes people do not enjoy such a new wisdom of the city to bring them. 207 00:12:35.540 --> 00:12:36.470 Some benefits 208 00:12:37.100 --> 00:12:44.830 So, like Seoul, it focuses on the wisdom of the industry and wisdom of such life. 209 00:12:44.830 --> 00:12:48.010 So he came up with the concept of a UC leg. 210 00:12:48.090 --> 00:12:51.530 So including a pine island he made in Incheon 211 00:12:51.530 --> 00:12:53.400 International business district 212 00:12:53.400 --> 00:12:57.170 Mainly through the information of such a capacity building. 213 00:12:57.580 --> 00:12:59.250 For the presence of such companies 214 00:12:59.250 --> 00:13:01.060 Mainly the headquarters economy. 215 00:13:01.060 --> 00:13:05.590 Then give them some more convenient information services. 216 00:13:08.210 --> 00:13:11.130 So this is some wisdom building 217 00:13:11.130 --> 00:13:13.640 Then include all kinds of buildings around here 218 00:13:13.840 --> 00:13:18.040 Water supply, drainage, water saving, gas heating, power supply, home, etc. 219 00:13:18.040 --> 00:13:21.740 There are corresponding norms 220 00:13:23.090 --> 00:13:27.290 Are some of the new smart buildings some of the design.