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Time now for Click. | 0:00:00 | 0:00:05 | |
This week, another chance to see our big Chinese adventure | 0:00:05 | 0:00:08 | |
from earlier this year, in which we danced, | 0:00:08 | 0:00:11 | |
we played and had a smashing good time. | 0:00:11 | 0:00:15 | |
Breathe. | 0:00:43 | 0:00:48 | |
Clear your mind. | 0:00:48 | 0:00:53 | |
Forget everything you've learned. | 0:00:53 | 0:00:59 | |
China has changed. | 0:00:59 | 0:01:02 | |
Welcome. | 0:01:15 | 0:01:16 | |
Welcome to a country like none other, one that for so long has | 0:01:16 | 0:01:21 | |
gone its own way, with its own ancient traditions, | 0:01:21 | 0:01:29 | |
but which is now ready. | 0:01:29 | 0:01:31 | |
Ready for anything. | 0:01:31 | 0:01:33 | |
China may be thousands of years old, but... | 0:01:36 | 0:01:43 | |
It kind of feels quite young. | 0:01:43 | 0:01:49 | |
There Is an energy here, an enthusiasm to welcome the world, | 0:01:49 | 0:01:53 | |
and also show the world what it's got. | 0:01:53 | 0:01:59 | |
And what it's got is not just factories churning out | 0:01:59 | 0:02:03 | |
other people's stuff. | 0:02:03 | 0:02:07 | |
The Chinese brands themselves are starting to break out. | 0:02:07 | 0:02:11 | |
"Made in China" is becoming "Designed in China." | 0:02:11 | 0:02:14 | |
Yet there are some parts of life here that you may | 0:02:15 | 0:02:18 | |
consider unpalatable. | 0:02:19 | 0:02:21 | |
Its take on human rights, its control of the media, | 0:02:21 | 0:02:23 | |
its attempts to censor inconvenient information behind | 0:02:23 | 0:02:27 | |
that Great Firewall. | 0:02:27 | 0:02:31 | |
From Facebook and Twitter to the mighty Apple, | 0:02:31 | 0:02:35 | |
western brands are not given an easy ride here - | 0:02:35 | 0:02:39 | |
although it's not blanket censorship, and people can | 0:02:39 | 0:02:41 | |
and do circumvent it. | 0:02:41 | 0:02:44 | |
But that buffer from the Western invasion has allowed Chinese | 0:02:44 | 0:02:50 | |
innovation to flourish, and that's what we're | 0:02:50 | 0:02:54 | |
here to discover. | 0:02:54 | 0:02:59 | |
This is Click's Chinese story, part one. | 0:03:00 | 0:03:04 | |
Let's start with lunch, which on one day looked like this. | 0:03:09 | 0:03:12 | |
But on other days was consumed on the go, and brought to us | 0:03:12 | 0:03:15 | |
by an army of scooter-riding food angels like these. | 0:03:15 | 0:03:25 | |
Yep, today in Beijing we're ordering a delivery from a local | 0:03:25 | 0:03:28 | |
restaurant using WeChat, the social network of China. | 0:03:28 | 0:03:34 | |
It's a full-on, multipurpose tool. | 0:03:34 | 0:03:39 | |
Think of a mix between Twitter, WhatsApp and Facebook. | 0:03:39 | 0:03:46 | |
You can do business, you can have fun. | 0:03:46 | 0:03:48 | |
Yes, China is trying to go big on innovation. | 0:03:48 | 0:03:50 | |
It has over 1,600 accelerators, including the rather nice | 0:03:50 | 0:03:52 | |
looking Innovation Works, founded by former head | 0:03:52 | 0:03:54 | |
of Google China Kai-Fu Lee. | 0:03:54 | 0:03:57 | |
There's a wall here of the billion-dollar projects | 0:03:57 | 0:04:03 | |
they have backed including Meitu, which has been valued | 0:04:03 | 0:04:05 | |
at over $3 billion. | 0:04:05 | 0:04:06 | |
Yep, more than 270 million people use this | 0:04:06 | 0:04:10 | |
selfie-beautifying app every month. | 0:04:10 | 0:04:12 | |
And ,for this month only, this includes me. | 0:04:12 | 0:04:14 | |
Pretty! | 0:04:14 | 0:04:16 | |
But they don't just have accelerators in Beijing. | 0:04:16 | 0:04:24 | |
They have a whole startup street, called Innoway. | 0:04:24 | 0:04:26 | |
And it has many, many start-up cafes. | 0:04:26 | 0:04:32 | |
Above each cafe is an incubator, and above each of those, | 0:04:32 | 0:04:35 | |
working space for new companies, which is free for three months. | 0:04:35 | 0:04:38 | |
And it is here that I met Gansha Wu, whose own start-up, Uisee, | 0:04:38 | 0:04:42 | |
is being talked about as potentially revolutionising | 0:04:42 | 0:04:43 | |
the autonomous car industry. | 0:04:43 | 0:04:45 | |
In China, the situation is a little bit different. | 0:04:45 | 0:04:48 | |
When the government tries to push something, it typically | 0:04:48 | 0:04:56 | |
gets enough attention, enough resources, enough forces. | 0:04:56 | 0:05:08 | |
So in China, you know, you always see everyone goes | 0:05:08 | 0:05:11 | |
in the same direction. | 0:05:11 | 0:05:13 | |
It' good, it's bad. | 0:05:13 | 0:05:20 | |
But sometimes, at this point, everyone goes into this mass | 0:05:20 | 0:05:22 | |
entrepreneurship and innovation. | 0:05:22 | 0:05:23 | |
I think it helps. | 0:05:23 | 0:05:25 | |
But walking around Innoway, it doesn't really look like there's | 0:05:25 | 0:05:28 | |
that much take-up yet. | 0:05:28 | 0:05:32 | |
Still, if you are really successful, you don't just get your own street, | 0:05:32 | 0:05:35 | |
you get your own palace. | 0:05:35 | 0:05:39 | |
Welcome to DeepGlint. | 0:05:39 | 0:05:43 | |
It is led by Yong Zhao, a co-founder of Google Glass, | 0:05:43 | 0:05:46 | |
who today has invited me to take part in this colourful demo. | 0:05:46 | 0:05:50 | |
What is the purpose of the multi-coloured hula | 0:05:50 | 0:05:52 | |
hoops we're wearing? | 0:05:52 | 0:05:53 | |
It means we're watching everybody. | 0:05:53 | 0:05:56 | |
We're tracking you. | 0:05:56 | 0:05:59 | |
We put a ring on your body, and no matter where you | 0:05:59 | 0:06:02 | |
move, it follows you. | 0:06:02 | 0:06:03 | |
Therefore, they understand your trajectory and your behaviour. | 0:06:03 | 0:06:05 | |
DeepGlint specialises in 3D computer vision and deep learning, | 0:06:05 | 0:06:09 | |
and uses this to make sense of how people are moving around. | 0:06:09 | 0:06:14 | |
One of our important customers are banks. | 0:06:14 | 0:06:16 | |
They really want to understand people's behaviour in their space, | 0:06:16 | 0:06:20 | |
no matter whether you are a customer, or people | 0:06:20 | 0:06:22 | |
walking casually. | 0:06:22 | 0:06:24 | |
So if you're casual, you don't want to walk too fast, | 0:06:24 | 0:06:27 | |
like you're running. | 0:06:27 | 0:06:29 | |
That might mean something really bad is happening. | 0:06:29 | 0:06:32 | |
COMPUTERISED VOICE ISSUES INSTRUCTIONS. | 0:06:32 | 0:06:36 | |
She's upset with you. | 0:06:36 | 0:06:37 | |
You're stealing the cash. | 0:06:37 | 0:06:38 | |
Or there are some places where they don't want you to get in. | 0:06:38 | 0:06:42 | |
If I walk on to this mat, they are going to complain. | 0:06:42 | 0:06:46 | |
This is a sensitive area. | 0:06:46 | 0:06:48 | |
Or if you stay in this room for too long, it also complains. | 0:06:48 | 0:06:55 | |
So if I wanted to rob this bank I would have to do it very slowly, | 0:06:55 | 0:06:59 | |
but also get it done very quickly. | 0:06:59 | 0:07:01 | |
Yes. | 0:07:01 | 0:07:01 | |
Right. | 0:07:01 | 0:07:02 | |
If, in the process, somebody was hurt and falling on the floor, | 0:07:02 | 0:07:10 | |
the camera will know. | 0:07:10 | 0:07:11 | |
Someone is falling down. | 0:07:11 | 0:07:12 | |
So I have also not got to injure anyone, while moving | 0:07:12 | 0:07:15 | |
slowly and quickly. | 0:07:15 | 0:07:16 | |
You cannot crawl. | 0:07:16 | 0:07:16 | |
You cannot do this! | 0:07:16 | 0:07:19 | |
He's really got this place covered. | 0:07:19 | 0:07:21 | |
I think I'll rob somewhere else. | 0:07:21 | 0:07:25 | |
And it's more than just behaviour that's being monitored here. | 0:07:25 | 0:07:28 | |
DeepGlint supplies facial recognition systems that can pick | 0:07:28 | 0:07:31 | |
out hundreds of faces at once, and even identify stolen cars, | 0:07:31 | 0:07:36 | |
not by their number plates, which may have been changed, | 0:07:36 | 0:07:38 | |
but by their markings, their stickers and their scratches. | 0:07:38 | 0:07:45 | |
Of course, it's not just in Beijing that you find innovation, | 0:07:45 | 0:07:47 | |
start-ups and incubators. | 0:07:47 | 0:07:49 | |
They're happening all over this vast country. | 0:07:49 | 0:07:52 | |
And Jen Copestake has been to central China, | 0:07:52 | 0:07:54 | |
to Chengdu, where something very strange is going on. | 0:07:54 | 0:08:03 | |
Yes, I've travelled to the heart of China's Sichuan Province, | 0:08:03 | 0:08:06 | |
to the provincial capital, Chengdu. | 0:08:06 | 0:08:09 | |
It's famous for its pandas and mahjong. | 0:08:09 | 0:08:12 | |
There's even electric tables in the countryside. | 0:08:12 | 0:08:16 | |
I'm playing mahjong - I think! | 0:08:21 | 0:08:25 | |
And it's now building a reputation for hi-tech, too. | 0:08:29 | 0:08:33 | |
The University for Engineering, Science and Technology | 0:08:35 | 0:08:38 | |
is one of the best in the country for robotics. | 0:08:38 | 0:08:40 | |
There are 35,000 students here, from all over China. | 0:08:40 | 0:08:43 | |
And many of them make robots, including these | 0:08:43 | 0:08:47 | |
autonomous characters. | 0:08:47 | 0:08:54 | |
Kitted out with high-definition cameras, they're designed to carry | 0:08:54 | 0:08:56 | |
out jobs from neighbourhood watch to monitoring bail conditions. | 0:08:56 | 0:09:01 | |
They can even keep track of prisoners in jail. | 0:09:01 | 0:09:11 | |
The theme of surveillance is strong here, as you might expect. | 0:09:11 | 0:09:14 | |
A team from the university has developed this police car prototype. | 0:09:14 | 0:09:17 | |
The 360-degree camera mounted on the car's roof can automatically | 0:09:17 | 0:09:20 | |
scan for faces within a 60-metre radius. | 0:09:20 | 0:09:23 | |
I tested it out by going for a run, and it did pick out my face. | 0:09:23 | 0:09:27 | |
It would be matched against a police database to see if I was a criminal | 0:09:27 | 0:09:31 | |
or suspect, and then send an alert to the car | 0:09:31 | 0:09:34 | |
if there is was a positive match. | 0:09:34 | 0:09:38 | |
The final version of the car should be able to pick people out at speeds | 0:09:38 | 0:09:42 | |
of up to 120 kilometres an hour. | 0:09:42 | 0:09:48 | |
Spooky stuff. | 0:09:48 | 0:09:49 | |
But we have really come to Chengdu to play with this. | 0:09:49 | 0:09:51 | |
Oh, my goodness, it's actually really | 0:09:51 | 0:09:53 | |
intimidating. | 0:09:53 | 0:09:55 | |
Whoa! | 0:09:55 | 0:10:03 | |
The robot is designed to be as much like a human player as possible. | 0:10:09 | 0:10:13 | |
Its eyes are the HD cameras at the back of the court. | 0:10:13 | 0:10:16 | |
These computers send prediction data on where the shuttlecock will fall | 0:10:16 | 0:10:19 | |
back to the robot via Bluetooth. | 0:10:19 | 0:10:22 | |
Its hands are racquets. | 0:10:22 | 0:10:25 | |
The information received needs to be millimetre-accurate | 0:10:25 | 0:10:28 | |
for it to get shots back. | 0:10:28 | 0:10:36 | |
The robot starts in the central position. | 0:10:36 | 0:10:38 | |
Its brain has a map of the court, and it won't venture | 0:10:38 | 0:10:41 | |
outside the lines. | 0:10:41 | 0:10:42 | |
I think I can beat him, but he's... | 0:10:42 | 0:10:46 | |
So how did you get involved in this project? | 0:10:50 | 0:10:55 | |
Did you win the competition? | 0:11:06 | 0:11:08 | |
Yeah, of course! | 0:11:08 | 0:11:09 | |
Champion! | 0:11:09 | 0:11:12 | |
No arguing there. | 0:11:18 | 0:11:22 | |
You don't have to drive far in China's cities | 0:11:28 | 0:11:30 | |
to hit this. | 0:11:30 | 0:11:33 | |
HORNS BEEPING. | 0:11:33 | 0:11:34 | |
In fact, this is why you can't really drive far at all. | 0:11:34 | 0:11:37 | |
Not in less than an hour, anyway. | 0:11:37 | 0:11:39 | |
And that might explain why China is working fast to catch up | 0:11:39 | 0:11:42 | |
with the current talk of the town, autonomous cars. | 0:11:42 | 0:11:49 | |
Right now everyone owns a private car. | 0:11:49 | 0:11:51 | |
But down the road, it doesn't need to be this way. | 0:11:51 | 0:11:54 | |
The car can be shared among many people. | 0:11:54 | 0:11:56 | |
Only 5% of the time the car is driven, 95% | 0:11:56 | 0:11:59 | |
of the time it is parked. | 0:11:59 | 0:12:11 | |
So if you have autonomous cars, once they've dropped you off | 0:12:11 | 0:12:14 | |
they can drive off and go away? | 0:12:14 | 0:12:15 | |
It is easy. | 0:12:15 | 0:12:16 | |
Yes, when you think about it, there is a good argument for sharing | 0:12:16 | 0:12:19 | |
autonomous vehicles, and that argument is being made by Baidu, | 0:12:19 | 0:12:22 | |
China's largest search engine. | 0:12:22 | 0:12:23 | |
It's just announced a plan to develop a test area | 0:12:23 | 0:12:25 | |
for autonomous taxis and buses in the city of Wuhu over | 0:12:25 | 0:12:28 | |
the next five years. | 0:12:28 | 0:12:29 | |
This is Baidu's autonomous car. | 0:12:29 | 0:12:30 | |
It's a BMW, with all the standard features of any autonomous car. | 0:12:30 | 0:12:35 | |
You have super-accurate GPS there, lidar, or laser-accurate radar, | 0:12:35 | 0:12:39 | |
on the top and on all four sides, and round the front, | 0:12:39 | 0:12:42 | |
millimetre-wave radar, and a ton of cameras in the windscreen, | 0:12:42 | 0:12:46 | |
to watch out for obstacles and map the road. | 0:12:46 | 0:12:48 | |
And inside, possibly the most important feature of any | 0:12:48 | 0:12:51 | |
test autonomous car, an emergency red stop button. | 0:12:51 | 0:12:53 | |
But is driving in China any different to driving anywhere else | 0:12:53 | 0:12:54 | |
But is driving in China any different to driving anywhere else | 0:12:57 | 0:13:00 | |
in the world? | 0:13:00 | 0:13:01 | |
Well, to get a sense of the actual technology you'd need to navigate | 0:13:01 | 0:13:05 | |
in Beijing traffic, I was taken for a ride by that | 0:13:05 | 0:13:08 | |
famous Chinese company, Volvo. | 0:13:08 | 0:13:13 | |
Quite a bit of the technology that we will find in autonomous cars | 0:13:15 | 0:13:18 | |
already exists and is already in cars that you can buy today. | 0:13:18 | 0:13:21 | |
This one, for example, can keep a safe distance | 0:13:21 | 0:13:24 | |
from the car in front and it can keep in lane, | 0:13:24 | 0:13:27 | |
as long as it can see good lane markings either side of it. | 0:13:27 | 0:13:32 | |
Not that we have much opportunity to use those features here. | 0:13:32 | 0:13:35 | |
I wouldn't call it chaos, everyone did seem to know | 0:13:35 | 0:13:39 | |
what they were doing. | 0:13:39 | 0:13:39 | |
Everyone except me. | 0:13:39 | 0:13:43 | |
I don't even know how many lanes there are here. | 0:13:43 | 0:13:45 | |
We seem to be like... | 0:13:45 | 0:13:48 | |
If you're an autonomous car, you need to deal with this, | 0:13:48 | 0:13:51 | |
you need to deal with this chap. | 0:13:51 | 0:13:53 | |
You need to deal with the man that came past a few minutes ago | 0:13:53 | 0:13:56 | |
selling turtles to drivers. | 0:13:56 | 0:13:58 | |
So, a little way to go before we hit this sexy vision of the future. | 0:14:09 | 0:14:12 | |
Chinese video streaming company LeTV says it is developing | 0:14:12 | 0:14:15 | |
its own self-driving car. | 0:14:15 | 0:14:16 | |
Why? | 0:14:16 | 0:14:17 | |
Because in the future what else will we be doing in our autonomous | 0:14:17 | 0:14:20 | |
cars than watching its TV and movie service? | 0:14:20 | 0:14:22 | |
Hmm. | 0:14:22 | 0:14:22 | |
Certainly looks like it will cost a fortune and, | 0:14:22 | 0:14:24 | |
yes, that is a problem. | 0:14:24 | 0:14:27 | |
Autonomous cars are expensive to develop and will be filled | 0:14:27 | 0:14:31 | |
with expensive components. | 0:14:31 | 0:14:37 | |
But, interestingly, this car, developed by Uisee, a company | 0:14:37 | 0:14:40 | |
founded by our good friend Gansha Wu, is dispensing | 0:14:40 | 0:14:44 | |
with the very expensive lidar and inertial sensors | 0:14:44 | 0:14:47 | |
and using cheaper stereo cameras to help it see in a different way. | 0:14:47 | 0:14:52 | |
We have an interesting metaphor. | 0:14:52 | 0:14:55 | |
So, Google has pretty good eyesight based on all the sensors. | 0:14:55 | 0:15:01 | |
So it has an eyesight of 2.0. | 0:15:01 | 0:15:05 | |
So they don't need to be very smart. | 0:15:05 | 0:15:08 | |
Probably they have an IQ of 120. | 0:15:08 | 0:15:12 | |
But for us, we want to have an eyesight of 1.5, | 0:15:12 | 0:15:16 | |
with an IQ of 180. | 0:15:16 | 0:15:18 | |
We actually built a supercomputer in the car. | 0:15:18 | 0:15:26 | |
All of this traffic is contributing to another big problem | 0:15:27 | 0:15:31 | |
here - pollution. | 0:15:31 | 0:15:34 | |
In 1978 there were just 1.3 million vehicles on China's roads. | 0:15:34 | 0:15:40 | |
Today there are 279 million. | 0:15:40 | 0:15:45 | |
The smog is sometimes so bad it's breathtaking. | 0:15:45 | 0:15:50 | |
You can see the haze, kind of, over there, | 0:15:50 | 0:15:53 | |
but you will get a much better idea from the top of this building here. | 0:15:53 | 0:16:03 | |
Right, so now you can see it, can't you? | 0:16:03 | 0:16:08 | |
There's the Olympic tower, the Water Cube, and the Bird's | 0:16:08 | 0:16:11 | |
Nest Olympic Stadium. | 0:16:11 | 0:16:14 | |
There are mountains over there, trust me! | 0:16:14 | 0:16:17 | |
Not that you've got a chance of seeing them today. | 0:16:17 | 0:16:20 | |
It's up here that I'm meeting IBM's chairman in China, Liming Chen, | 0:16:20 | 0:16:25 | |
who has his eye on a cleaner future. | 0:16:25 | 0:16:28 | |
We normally use 1978 as a kind of benchmark. | 0:16:28 | 0:16:32 | |
That's the year China opened up, right? | 0:16:32 | 0:16:36 | |
If you look at the population in 1978, our population | 0:16:36 | 0:16:39 | |
was only 960 million. | 0:16:39 | 0:16:42 | |
Today we have 1.35 billion. | 0:16:42 | 0:16:46 | |
The net increase is almost 400 million. | 0:16:46 | 0:16:50 | |
So whenever you have a population increase then you have energy | 0:16:50 | 0:16:52 | |
consumption, no doubt about that. | 0:16:52 | 0:16:55 | |
Couple that massive growth in population, traffic and industry | 0:16:55 | 0:16:58 | |
with the fact that China's main fossil fuel is the one that | 0:16:58 | 0:17:02 | |
produces the most CO2, coal, and you can see why the horizon | 0:17:02 | 0:17:05 | |
is so grey. | 0:17:05 | 0:17:09 | |
Previous attempts to turn it blue again have involved | 0:17:09 | 0:17:12 | |
shutting down everything, factories and traffic, | 0:17:12 | 0:17:16 | |
in the whole Beijing area for four weeks in the run-up to the 2008 | 0:17:16 | 0:17:19 | |
Beijing Olympics. | 0:17:19 | 0:17:22 | |
But IBM has developed a smarter way to manage pollution | 0:17:22 | 0:17:25 | |
and turn the horizon green. | 0:17:25 | 0:17:29 | |
This is the home of the Green Horizon Project, | 0:17:29 | 0:17:32 | |
a massive undertaking to predict where and how bad the pollution | 0:17:32 | 0:17:36 | |
will be ten days ahead. | 0:17:36 | 0:17:39 | |
Not only does Green Horizon help predict which areas will be hit | 0:17:39 | 0:17:42 | |
worst, it can predict the environmental and economic | 0:17:42 | 0:17:45 | |
effects of different pollution management strategies, | 0:17:45 | 0:17:49 | |
from shutting down certain factories to banning traffic | 0:17:49 | 0:17:54 | |
in different areas. | 0:17:54 | 0:17:57 | |
Now, an enormous amount of data is being analysed here, | 0:17:57 | 0:18:00 | |
coming from ground sensors, satellites, weather forecasts, | 0:18:00 | 0:18:02 | |
geographic information, traffic data and factory | 0:18:02 | 0:18:06 | |
emission monitoring. | 0:18:06 | 0:18:10 | |
Green Horizon is even learning how to read comments | 0:18:10 | 0:18:12 | |
and pictures on social media. | 0:18:12 | 0:18:14 | |
Social media can help us to quickly locate some | 0:18:14 | 0:18:17 | |
of the pollution events. | 0:18:17 | 0:18:21 | |
Leaking, or illegal emissions, so we can use social media data | 0:18:21 | 0:18:24 | |
to help the city manager to quickly find out those pollution sources. | 0:18:24 | 0:18:31 | |
This project is already active in several cities in China and it's | 0:18:31 | 0:18:34 | |
being piloted in New Delhi and Johannesburg too. | 0:18:34 | 0:18:41 | |
I've been gobsmacked at just how stunning Beijing is. | 0:18:41 | 0:18:44 | |
But it's going to take an awful lot of work to keep the air clear enough | 0:18:44 | 0:18:48 | |
for us all to appreciate it. | 0:18:48 | 0:18:55 | |
No such problems here - 1,500 kilometres to the south-west | 0:18:56 | 0:19:01 | |
of the capital in central China, in the mist covered | 0:19:01 | 0:19:04 | |
mountains of Zhangjiajie. | 0:19:04 | 0:19:07 | |
I've come to China's oldest national park, | 0:19:07 | 0:19:09 | |
which holds a very new secret. | 0:19:09 | 0:19:16 | |
Tucked away on the edge of this World Heritage Site, | 0:19:16 | 0:19:20 | |
someone's decided to build a bridge from the middle of nowhere | 0:19:20 | 0:19:23 | |
to the middle of nowhere. | 0:19:23 | 0:19:26 | |
Unlike me, they hope the thousands of visitors that will come here | 0:19:26 | 0:19:29 | |
won't be too scared to look down, 300 metres through the world's | 0:19:29 | 0:19:35 | |
highest glass walkway. | 0:19:35 | 0:19:40 | |
These are the final days of construction | 0:19:40 | 0:19:43 | |
for this three-year project. | 0:19:43 | 0:19:45 | |
More than 300 engineers have worked through all weather conditions | 0:19:45 | 0:19:49 | |
to build what's also the world's longest glass-bottomed bridge, | 0:19:49 | 0:19:53 | |
a breathtaking 430 metres, crossing Zhangjiajie's grand canyon. | 0:19:53 | 0:20:04 | |
And the bridge, you can see, it opens up to the sky. | 0:20:04 | 0:20:07 | |
Usually bridges are parallel and this one is like that, | 0:20:07 | 0:20:10 | |
so you feel the sky is coming into the bridge. | 0:20:10 | 0:20:15 | |
The walkway itself is just 60 centimetres thick, | 0:20:15 | 0:20:18 | |
so the challenge to keep everything stable has required | 0:20:18 | 0:20:21 | |
some fresh thinking. | 0:20:21 | 0:20:23 | |
70 glass balls are to be positioned on springs along the walkway. | 0:20:23 | 0:20:28 | |
They've been designed to move to counter any swaying. | 0:20:28 | 0:20:32 | |
These curvy railings will persuade up to 800 visitors | 0:20:32 | 0:20:36 | |
to keep changing direction, offsetting the resonance | 0:20:36 | 0:20:40 | |
caused by hundreds walking at a constant speed. | 0:20:40 | 0:20:43 | |
And then there are the water tanks. | 0:20:43 | 0:20:47 | |
TRANSLATION: We are going to put four water tanks in the bridge. | 0:20:47 | 0:20:51 | |
When the bridge vibrates the water inside these tanks will make waves. | 0:20:51 | 0:20:58 | |
We've calculated the size of the tanks so the frequency | 0:20:58 | 0:21:02 | |
of the water waves and the bridge's vibration are different. | 0:21:02 | 0:21:06 | |
So when the bridge vibrates the water tanks can help to stop it. | 0:21:06 | 0:21:15 | |
They are hoping to sway tourists to stay longer. | 0:21:15 | 0:21:18 | |
This amphitheatre will host fashion and light shows and next year you'll | 0:21:18 | 0:21:21 | |
be able to throw yourself off the edge and experience the world's | 0:21:21 | 0:21:24 | |
highest bungee jump. | 0:21:25 | 0:21:28 | |
At this altitude you can't afford for anything to go wrong. | 0:21:28 | 0:21:32 | |
And eight months ago it did. | 0:21:32 | 0:21:36 | |
Pictures showing how a cliff hugging glass walkway had smashed under | 0:21:36 | 0:21:39 | |
the feet of a tourist after he dropped a mug went viral. | 0:21:39 | 0:21:44 | |
The walkway was closed. | 0:21:44 | 0:21:47 | |
Our hosts were keen to show me just how safe I was. | 0:21:47 | 0:21:50 | |
Each panel of the walkway has three layers of toughened glass, | 0:21:50 | 0:21:53 | |
held together by glue. | 0:21:53 | 0:21:58 | |
Well, the president has given me a hammer and says that even if I can | 0:21:58 | 0:22:01 | |
get through all three layers of glass I won't fall through. | 0:22:01 | 0:22:05 | |
He also says I will be the toughest man in the world if I can | 0:22:05 | 0:22:08 | |
get through this lot. | 0:22:08 | 0:22:11 | |
So this is how they are going to assuage people's fears of | 0:22:11 | 0:22:15 | |
glass bridges. | 0:22:15 | 0:22:18 | |
Oh! | 0:22:25 | 0:22:27 | |
And it looks like you can see the top glass has | 0:22:27 | 0:22:30 | |
shattered here. | 0:22:30 | 0:22:35 | |
Three! | 0:22:35 | 0:22:38 | |
Oh! | 0:22:38 | 0:22:41 | |
We're OK. | 0:22:41 | 0:22:43 | |
Oh! | 0:22:43 | 0:22:45 | |
HE PANTS. | 0:22:45 | 0:22:54 | |
Do you know what? | 0:22:54 | 0:22:57 | |
I think this might be safe! | 0:22:57 | 0:23:00 | |
OK, guys, we get the point. | 0:23:00 | 0:23:03 | |
And so at last it was time to welcome the very first specially | 0:23:03 | 0:23:07 | |
invited tourists onto the glass. | 0:23:07 | 0:23:17 | |
It is an unnerving experience and it takes a little | 0:23:25 | 0:23:29 | |
while to get used to. | 0:23:29 | 0:23:33 | |
HE LAUGHS. | 0:23:33 | 0:23:36 | |
I've only just begun to be able to do that. | 0:23:36 | 0:23:41 | |
It's a remarkable feat and it's really something for the eyes. | 0:23:41 | 0:23:45 | |
This entire structure is incredibly impressive and I'm sure we'll get | 0:23:45 | 0:23:48 | |
very, very similar reactions when it's opened | 0:23:48 | 0:23:52 | |
to the public next month. | 0:23:52 | 0:23:59 | |
Dan Simmons, in Zhangjiajie. | 0:24:04 | 0:24:06 | |
And next week we'll rerun part two of our Chinese trip, | 0:24:06 | 0:24:10 | |
as we venture into the factories of Schengen. | 0:24:10 | 0:24:13 | |
But, for now, I'll leave you to enjoy the view. | 0:24:13 | 0:24:17 | |
Good morning. | 0:24:35 | 0:24:36 | |
As is so often the case across the UK, the heat builds | 0:24:36 | 0:24:39 | |
and the thunderstorms arrive, that is what is happening | 0:24:39 | 0:24:41 | |
at the moment. | 0:24:41 | 0:24:42 | |
Wednesday was the hottest day of the year so far, | 0:24:42 | 0:24:45 | |
with 34 degrees recorded in Suffolk, the same too | 0:24:45 | 0:24:47 | |
across Graves End and Kent. | 0:24:47 | 0:24:48 |