0:00:00 > 0:00:05Time now for Click.
0:00:05 > 0:00:08This week, another chance to see our big Chinese adventure
0:00:08 > 0:00:11from earlier this year, in which we danced,
0:00:11 > 0:00:15we played and had a smashing good time.
0:00:43 > 0:00:48Breathe.
0:00:48 > 0:00:53Clear your mind.
0:00:53 > 0:00:59Forget everything you've learned.
0:00:59 > 0:01:02China has changed.
0:01:15 > 0:01:16Welcome.
0:01:16 > 0:01:21Welcome to a country like none other, one that for so long has
0:01:21 > 0:01:29gone its own way, with its own ancient traditions,
0:01:29 > 0:01:31but which is now ready.
0:01:31 > 0:01:33Ready for anything.
0:01:36 > 0:01:43China may be thousands of years old, but...
0:01:43 > 0:01:49It kind of feels quite young.
0:01:49 > 0:01:53There Is an energy here, an enthusiasm to welcome the world,
0:01:53 > 0:01:59and also show the world what it's got.
0:01:59 > 0:02:03And what it's got is not just factories churning out
0:02:03 > 0:02:07other people's stuff.
0:02:07 > 0:02:11The Chinese brands themselves are starting to break out.
0:02:11 > 0:02:14"Made in China" is becoming "Designed in China."
0:02:15 > 0:02:18Yet there are some parts of life here that you may
0:02:19 > 0:02:21consider unpalatable.
0:02:21 > 0:02:23Its take on human rights, its control of the media,
0:02:23 > 0:02:27its attempts to censor inconvenient information behind
0:02:27 > 0:02:31that Great Firewall.
0:02:31 > 0:02:35From Facebook and Twitter to the mighty Apple,
0:02:35 > 0:02:39western brands are not given an easy ride here -
0:02:39 > 0:02:41although it's not blanket censorship, and people can
0:02:41 > 0:02:44and do circumvent it.
0:02:44 > 0:02:50But that buffer from the Western invasion has allowed Chinese
0:02:50 > 0:02:54innovation to flourish, and that's what we're
0:02:54 > 0:02:59here to discover.
0:03:00 > 0:03:04This is Click's Chinese story, part one.
0:03:09 > 0:03:12Let's start with lunch, which on one day looked like this.
0:03:12 > 0:03:15But on other days was consumed on the go, and brought to us
0:03:15 > 0:03:25by an army of scooter-riding food angels like these.
0:03:25 > 0:03:28Yep, today in Beijing we're ordering a delivery from a local
0:03:28 > 0:03:34restaurant using WeChat, the social network of China.
0:03:34 > 0:03:39It's a full-on, multipurpose tool.
0:03:39 > 0:03:46Think of a mix between Twitter, WhatsApp and Facebook.
0:03:46 > 0:03:48You can do business, you can have fun.
0:03:48 > 0:03:50Yes, China is trying to go big on innovation.
0:03:50 > 0:03:52It has over 1,600 accelerators, including the rather nice
0:03:52 > 0:03:54looking Innovation Works, founded by former head
0:03:54 > 0:03:57of Google China Kai-Fu Lee.
0:03:57 > 0:04:03There's a wall here of the billion-dollar projects
0:04:03 > 0:04:05they have backed including Meitu, which has been valued
0:04:05 > 0:04:06at over $3 billion.
0:04:06 > 0:04:10Yep, more than 270 million people use this
0:04:10 > 0:04:12selfie-beautifying app every month.
0:04:12 > 0:04:14And ,for this month only, this includes me.
0:04:14 > 0:04:16Pretty!
0:04:16 > 0:04:24But they don't just have accelerators in Beijing.
0:04:24 > 0:04:26They have a whole startup street, called Innoway.
0:04:26 > 0:04:32And it has many, many start-up cafes.
0:04:32 > 0:04:35Above each cafe is an incubator, and above each of those,
0:04:35 > 0:04:38working space for new companies, which is free for three months.
0:04:38 > 0:04:42And it is here that I met Gansha Wu, whose own start-up, Uisee,
0:04:42 > 0:04:43is being talked about as potentially revolutionising
0:04:43 > 0:04:45the autonomous car industry.
0:04:45 > 0:04:48In China, the situation is a little bit different.
0:04:48 > 0:04:56When the government tries to push something, it typically
0:04:56 > 0:05:08gets enough attention, enough resources, enough forces.
0:05:08 > 0:05:11So in China, you know, you always see everyone goes
0:05:11 > 0:05:13in the same direction.
0:05:13 > 0:05:20It' good, it's bad.
0:05:20 > 0:05:22But sometimes, at this point, everyone goes into this mass
0:05:22 > 0:05:23entrepreneurship and innovation.
0:05:23 > 0:05:25I think it helps.
0:05:25 > 0:05:28But walking around Innoway, it doesn't really look like there's
0:05:28 > 0:05:32that much take-up yet.
0:05:32 > 0:05:35Still, if you are really successful, you don't just get your own street,
0:05:35 > 0:05:39you get your own palace.
0:05:39 > 0:05:43Welcome to DeepGlint.
0:05:43 > 0:05:46It is led by Yong Zhao, a co-founder of Google Glass,
0:05:46 > 0:05:50who today has invited me to take part in this colourful demo.
0:05:50 > 0:05:52What is the purpose of the multi-coloured hula
0:05:52 > 0:05:53hoops we're wearing?
0:05:53 > 0:05:56It means we're watching everybody.
0:05:56 > 0:05:59We're tracking you.
0:05:59 > 0:06:02We put a ring on your body, and no matter where you
0:06:02 > 0:06:03move, it follows you.
0:06:03 > 0:06:05Therefore, they understand your trajectory and your behaviour.
0:06:05 > 0:06:09DeepGlint specialises in 3D computer vision and deep learning,
0:06:09 > 0:06:14and uses this to make sense of how people are moving around.
0:06:14 > 0:06:16One of our important customers are banks.
0:06:16 > 0:06:20They really want to understand people's behaviour in their space,
0:06:20 > 0:06:22no matter whether you are a customer, or people
0:06:22 > 0:06:24walking casually.
0:06:24 > 0:06:27So if you're casual, you don't want to walk too fast,
0:06:27 > 0:06:29like you're running.
0:06:29 > 0:06:32That might mean something really bad is happening.
0:06:32 > 0:06:36COMPUTERISED VOICE ISSUES INSTRUCTIONS.
0:06:36 > 0:06:37She's upset with you.
0:06:37 > 0:06:38You're stealing the cash.
0:06:38 > 0:06:42Or there are some places where they don't want you to get in.
0:06:42 > 0:06:46If I walk on to this mat, they are going to complain.
0:06:46 > 0:06:48This is a sensitive area.
0:06:48 > 0:06:55Or if you stay in this room for too long, it also complains.
0:06:55 > 0:06:59So if I wanted to rob this bank I would have to do it very slowly,
0:06:59 > 0:07:01but also get it done very quickly.
0:07:01 > 0:07:01Yes.
0:07:01 > 0:07:02Right.
0:07:02 > 0:07:10If, in the process, somebody was hurt and falling on the floor,
0:07:10 > 0:07:11the camera will know.
0:07:11 > 0:07:12Someone is falling down.
0:07:12 > 0:07:15So I have also not got to injure anyone, while moving
0:07:15 > 0:07:16slowly and quickly.
0:07:16 > 0:07:16You cannot crawl.
0:07:16 > 0:07:19You cannot do this!
0:07:19 > 0:07:21He's really got this place covered.
0:07:21 > 0:07:25I think I'll rob somewhere else.
0:07:25 > 0:07:28And it's more than just behaviour that's being monitored here.
0:07:28 > 0:07:31DeepGlint supplies facial recognition systems that can pick
0:07:31 > 0:07:36out hundreds of faces at once, and even identify stolen cars,
0:07:36 > 0:07:38not by their number plates, which may have been changed,
0:07:38 > 0:07:45but by their markings, their stickers and their scratches.
0:07:45 > 0:07:47Of course, it's not just in Beijing that you find innovation,
0:07:47 > 0:07:49start-ups and incubators.
0:07:49 > 0:07:52They're happening all over this vast country.
0:07:52 > 0:07:54And Jen Copestake has been to central China,
0:07:54 > 0:08:03to Chengdu, where something very strange is going on.
0:08:03 > 0:08:06Yes, I've travelled to the heart of China's Sichuan Province,
0:08:06 > 0:08:09to the provincial capital, Chengdu.
0:08:09 > 0:08:12It's famous for its pandas and mahjong.
0:08:12 > 0:08:16There's even electric tables in the countryside.
0:08:21 > 0:08:25I'm playing mahjong - I think!
0:08:29 > 0:08:33And it's now building a reputation for hi-tech, too.
0:08:35 > 0:08:38The University for Engineering, Science and Technology
0:08:38 > 0:08:40is one of the best in the country for robotics.
0:08:40 > 0:08:43There are 35,000 students here, from all over China.
0:08:43 > 0:08:47And many of them make robots, including these
0:08:47 > 0:08:54autonomous characters.
0:08:54 > 0:08:56Kitted out with high-definition cameras, they're designed to carry
0:08:56 > 0:09:01out jobs from neighbourhood watch to monitoring bail conditions.
0:09:01 > 0:09:11They can even keep track of prisoners in jail.
0:09:11 > 0:09:14The theme of surveillance is strong here, as you might expect.
0:09:14 > 0:09:17A team from the university has developed this police car prototype.
0:09:17 > 0:09:20The 360-degree camera mounted on the car's roof can automatically
0:09:20 > 0:09:23scan for faces within a 60-metre radius.
0:09:23 > 0:09:27I tested it out by going for a run, and it did pick out my face.
0:09:27 > 0:09:31It would be matched against a police database to see if I was a criminal
0:09:31 > 0:09:34or suspect, and then send an alert to the car
0:09:34 > 0:09:38if there is was a positive match.
0:09:38 > 0:09:42The final version of the car should be able to pick people out at speeds
0:09:42 > 0:09:48of up to 120 kilometres an hour.
0:09:48 > 0:09:49Spooky stuff.
0:09:49 > 0:09:51But we have really come to Chengdu to play with this.
0:09:51 > 0:09:53Oh, my goodness, it's actually really
0:09:53 > 0:09:55intimidating.
0:09:55 > 0:10:03Whoa!
0:10:09 > 0:10:13The robot is designed to be as much like a human player as possible.
0:10:13 > 0:10:16Its eyes are the HD cameras at the back of the court.
0:10:16 > 0:10:19These computers send prediction data on where the shuttlecock will fall
0:10:19 > 0:10:22back to the robot via Bluetooth.
0:10:22 > 0:10:25Its hands are racquets.
0:10:25 > 0:10:28The information received needs to be millimetre-accurate
0:10:28 > 0:10:36for it to get shots back.
0:10:36 > 0:10:38The robot starts in the central position.
0:10:38 > 0:10:41Its brain has a map of the court, and it won't venture
0:10:41 > 0:10:42outside the lines.
0:10:42 > 0:10:46I think I can beat him, but he's...
0:10:50 > 0:10:55So how did you get involved in this project?
0:11:06 > 0:11:08Did you win the competition?
0:11:08 > 0:11:09Yeah, of course!
0:11:09 > 0:11:12Champion!
0:11:18 > 0:11:22No arguing there.
0:11:28 > 0:11:30You don't have to drive far in China's cities
0:11:30 > 0:11:33to hit this.
0:11:33 > 0:11:34HORNS BEEPING.
0:11:34 > 0:11:37In fact, this is why you can't really drive far at all.
0:11:37 > 0:11:39Not in less than an hour, anyway.
0:11:39 > 0:11:42And that might explain why China is working fast to catch up
0:11:42 > 0:11:49with the current talk of the town, autonomous cars.
0:11:49 > 0:11:51Right now everyone owns a private car.
0:11:51 > 0:11:54But down the road, it doesn't need to be this way.
0:11:54 > 0:11:56The car can be shared among many people.
0:11:56 > 0:11:59Only 5% of the time the car is driven, 95%
0:11:59 > 0:12:11of the time it is parked.
0:12:11 > 0:12:14So if you have autonomous cars, once they've dropped you off
0:12:14 > 0:12:15they can drive off and go away?
0:12:15 > 0:12:16It is easy.
0:12:16 > 0:12:19Yes, when you think about it, there is a good argument for sharing
0:12:19 > 0:12:22autonomous vehicles, and that argument is being made by Baidu,
0:12:22 > 0:12:23China's largest search engine.
0:12:23 > 0:12:25It's just announced a plan to develop a test area
0:12:25 > 0:12:28for autonomous taxis and buses in the city of Wuhu over
0:12:28 > 0:12:29the next five years.
0:12:29 > 0:12:30This is Baidu's autonomous car.
0:12:30 > 0:12:35It's a BMW, with all the standard features of any autonomous car.
0:12:35 > 0:12:39You have super-accurate GPS there, lidar, or laser-accurate radar,
0:12:39 > 0:12:42on the top and on all four sides, and round the front,
0:12:42 > 0:12:46millimetre-wave radar, and a ton of cameras in the windscreen,
0:12:46 > 0:12:48to watch out for obstacles and map the road.
0:12:48 > 0:12:51And inside, possibly the most important feature of any
0:12:51 > 0:12:53test autonomous car, an emergency red stop button.
0:12:53 > 0:12:54But is driving in China any different to driving anywhere else
0:12:57 > 0:13:00But is driving in China any different to driving anywhere else
0:13:00 > 0:13:01in the world?
0:13:01 > 0:13:05Well, to get a sense of the actual technology you'd need to navigate
0:13:05 > 0:13:08in Beijing traffic, I was taken for a ride by that
0:13:08 > 0:13:13famous Chinese company, Volvo.
0:13:15 > 0:13:18Quite a bit of the technology that we will find in autonomous cars
0:13:18 > 0:13:21already exists and is already in cars that you can buy today.
0:13:21 > 0:13:24This one, for example, can keep a safe distance
0:13:24 > 0:13:27from the car in front and it can keep in lane,
0:13:27 > 0:13:32as long as it can see good lane markings either side of it.
0:13:32 > 0:13:35Not that we have much opportunity to use those features here.
0:13:35 > 0:13:39I wouldn't call it chaos, everyone did seem to know
0:13:39 > 0:13:39what they were doing.
0:13:39 > 0:13:43Everyone except me.
0:13:43 > 0:13:45I don't even know how many lanes there are here.
0:13:45 > 0:13:48We seem to be like...
0:13:48 > 0:13:51If you're an autonomous car, you need to deal with this,
0:13:51 > 0:13:53you need to deal with this chap.
0:13:53 > 0:13:56You need to deal with the man that came past a few minutes ago
0:13:56 > 0:13:58selling turtles to drivers.
0:14:09 > 0:14:12So, a little way to go before we hit this sexy vision of the future.
0:14:12 > 0:14:15Chinese video streaming company LeTV says it is developing
0:14:15 > 0:14:16its own self-driving car.
0:14:16 > 0:14:17Why?
0:14:17 > 0:14:20Because in the future what else will we be doing in our autonomous
0:14:20 > 0:14:22cars than watching its TV and movie service?
0:14:22 > 0:14:22Hmm.
0:14:22 > 0:14:24Certainly looks like it will cost a fortune and,
0:14:24 > 0:14:27yes, that is a problem.
0:14:27 > 0:14:31Autonomous cars are expensive to develop and will be filled
0:14:31 > 0:14:37with expensive components.
0:14:37 > 0:14:40But, interestingly, this car, developed by Uisee, a company
0:14:40 > 0:14:44founded by our good friend Gansha Wu, is dispensing
0:14:44 > 0:14:47with the very expensive lidar and inertial sensors
0:14:47 > 0:14:52and using cheaper stereo cameras to help it see in a different way.
0:14:52 > 0:14:55We have an interesting metaphor.
0:14:55 > 0:15:01So, Google has pretty good eyesight based on all the sensors.
0:15:01 > 0:15:05So it has an eyesight of 2.0.
0:15:05 > 0:15:08So they don't need to be very smart.
0:15:08 > 0:15:12Probably they have an IQ of 120.
0:15:12 > 0:15:16But for us, we want to have an eyesight of 1.5,
0:15:16 > 0:15:18with an IQ of 180.
0:15:18 > 0:15:26We actually built a supercomputer in the car.
0:15:27 > 0:15:31All of this traffic is contributing to another big problem
0:15:31 > 0:15:34here - pollution.
0:15:34 > 0:15:40In 1978 there were just 1.3 million vehicles on China's roads.
0:15:40 > 0:15:45Today there are 279 million.
0:15:45 > 0:15:50The smog is sometimes so bad it's breathtaking.
0:15:50 > 0:15:53You can see the haze, kind of, over there,
0:15:53 > 0:16:03but you will get a much better idea from the top of this building here.
0:16:03 > 0:16:08Right, so now you can see it, can't you?
0:16:08 > 0:16:11There's the Olympic tower, the Water Cube, and the Bird's
0:16:11 > 0:16:14Nest Olympic Stadium.
0:16:14 > 0:16:17There are mountains over there, trust me!
0:16:17 > 0:16:20Not that you've got a chance of seeing them today.
0:16:20 > 0:16:25It's up here that I'm meeting IBM's chairman in China, Liming Chen,
0:16:25 > 0:16:28who has his eye on a cleaner future.
0:16:28 > 0:16:32We normally use 1978 as a kind of benchmark.
0:16:32 > 0:16:36That's the year China opened up, right?
0:16:36 > 0:16:39If you look at the population in 1978, our population
0:16:39 > 0:16:42was only 960 million.
0:16:42 > 0:16:46Today we have 1.35 billion.
0:16:46 > 0:16:50The net increase is almost 400 million.
0:16:50 > 0:16:52So whenever you have a population increase then you have energy
0:16:52 > 0:16:55consumption, no doubt about that.
0:16:55 > 0:16:58Couple that massive growth in population, traffic and industry
0:16:58 > 0:17:02with the fact that China's main fossil fuel is the one that
0:17:02 > 0:17:05produces the most CO2, coal, and you can see why the horizon
0:17:05 > 0:17:09is so grey.
0:17:09 > 0:17:12Previous attempts to turn it blue again have involved
0:17:12 > 0:17:16shutting down everything, factories and traffic,
0:17:16 > 0:17:19in the whole Beijing area for four weeks in the run-up to the 2008
0:17:19 > 0:17:22Beijing Olympics.
0:17:22 > 0:17:25But IBM has developed a smarter way to manage pollution
0:17:25 > 0:17:29and turn the horizon green.
0:17:29 > 0:17:32This is the home of the Green Horizon Project,
0:17:32 > 0:17:36a massive undertaking to predict where and how bad the pollution
0:17:36 > 0:17:39will be ten days ahead.
0:17:39 > 0:17:42Not only does Green Horizon help predict which areas will be hit
0:17:42 > 0:17:45worst, it can predict the environmental and economic
0:17:45 > 0:17:49effects of different pollution management strategies,
0:17:49 > 0:17:54from shutting down certain factories to banning traffic
0:17:54 > 0:17:57in different areas.
0:17:57 > 0:18:00Now, an enormous amount of data is being analysed here,
0:18:00 > 0:18:02coming from ground sensors, satellites, weather forecasts,
0:18:02 > 0:18:06geographic information, traffic data and factory
0:18:06 > 0:18:10emission monitoring.
0:18:10 > 0:18:12Green Horizon is even learning how to read comments
0:18:12 > 0:18:14and pictures on social media.
0:18:14 > 0:18:17Social media can help us to quickly locate some
0:18:17 > 0:18:21of the pollution events.
0:18:21 > 0:18:24Leaking, or illegal emissions, so we can use social media data
0:18:24 > 0:18:31to help the city manager to quickly find out those pollution sources.
0:18:31 > 0:18:34This project is already active in several cities in China and it's
0:18:34 > 0:18:41being piloted in New Delhi and Johannesburg too.
0:18:41 > 0:18:44I've been gobsmacked at just how stunning Beijing is.
0:18:44 > 0:18:48But it's going to take an awful lot of work to keep the air clear enough
0:18:48 > 0:18:55for us all to appreciate it.
0:18:56 > 0:19:01No such problems here - 1,500 kilometres to the south-west
0:19:01 > 0:19:04of the capital in central China, in the mist covered
0:19:04 > 0:19:07mountains of Zhangjiajie.
0:19:07 > 0:19:09I've come to China's oldest national park,
0:19:09 > 0:19:16which holds a very new secret.
0:19:16 > 0:19:20Tucked away on the edge of this World Heritage Site,
0:19:20 > 0:19:23someone's decided to build a bridge from the middle of nowhere
0:19:23 > 0:19:26to the middle of nowhere.
0:19:26 > 0:19:29Unlike me, they hope the thousands of visitors that will come here
0:19:29 > 0:19:35won't be too scared to look down, 300 metres through the world's
0:19:35 > 0:19:40highest glass walkway.
0:19:40 > 0:19:43These are the final days of construction
0:19:43 > 0:19:45for this three-year project.
0:19:45 > 0:19:49More than 300 engineers have worked through all weather conditions
0:19:49 > 0:19:53to build what's also the world's longest glass-bottomed bridge,
0:19:53 > 0:20:04a breathtaking 430 metres, crossing Zhangjiajie's grand canyon.
0:20:04 > 0:20:07And the bridge, you can see, it opens up to the sky.
0:20:07 > 0:20:10Usually bridges are parallel and this one is like that,
0:20:10 > 0:20:15so you feel the sky is coming into the bridge.
0:20:15 > 0:20:18The walkway itself is just 60 centimetres thick,
0:20:18 > 0:20:21so the challenge to keep everything stable has required
0:20:21 > 0:20:23some fresh thinking.
0:20:23 > 0:20:2870 glass balls are to be positioned on springs along the walkway.
0:20:28 > 0:20:32They've been designed to move to counter any swaying.
0:20:32 > 0:20:36These curvy railings will persuade up to 800 visitors
0:20:36 > 0:20:40to keep changing direction, offsetting the resonance
0:20:40 > 0:20:43caused by hundreds walking at a constant speed.
0:20:43 > 0:20:47And then there are the water tanks.
0:20:47 > 0:20:51TRANSLATION: We are going to put four water tanks in the bridge.
0:20:51 > 0:20:58When the bridge vibrates the water inside these tanks will make waves.
0:20:58 > 0:21:02We've calculated the size of the tanks so the frequency
0:21:02 > 0:21:06of the water waves and the bridge's vibration are different.
0:21:06 > 0:21:15So when the bridge vibrates the water tanks can help to stop it.
0:21:15 > 0:21:18They are hoping to sway tourists to stay longer.
0:21:18 > 0:21:21This amphitheatre will host fashion and light shows and next year you'll
0:21:21 > 0:21:24be able to throw yourself off the edge and experience the world's
0:21:25 > 0:21:28highest bungee jump.
0:21:28 > 0:21:32At this altitude you can't afford for anything to go wrong.
0:21:32 > 0:21:36And eight months ago it did.
0:21:36 > 0:21:39Pictures showing how a cliff hugging glass walkway had smashed under
0:21:39 > 0:21:44the feet of a tourist after he dropped a mug went viral.
0:21:44 > 0:21:47The walkway was closed.
0:21:47 > 0:21:50Our hosts were keen to show me just how safe I was.
0:21:50 > 0:21:53Each panel of the walkway has three layers of toughened glass,
0:21:53 > 0:21:58held together by glue.
0:21:58 > 0:22:01Well, the president has given me a hammer and says that even if I can
0:22:01 > 0:22:05get through all three layers of glass I won't fall through.
0:22:05 > 0:22:08He also says I will be the toughest man in the world if I can
0:22:08 > 0:22:11get through this lot.
0:22:11 > 0:22:15So this is how they are going to assuage people's fears of
0:22:15 > 0:22:18glass bridges.
0:22:25 > 0:22:27Oh!
0:22:27 > 0:22:30And it looks like you can see the top glass has
0:22:30 > 0:22:35shattered here.
0:22:35 > 0:22:38Three!
0:22:38 > 0:22:41Oh!
0:22:41 > 0:22:43We're OK.
0:22:43 > 0:22:45Oh!
0:22:45 > 0:22:54HE PANTS.
0:22:54 > 0:22:57Do you know what?
0:22:57 > 0:23:00I think this might be safe!
0:23:00 > 0:23:03OK, guys, we get the point.
0:23:03 > 0:23:07And so at last it was time to welcome the very first specially
0:23:07 > 0:23:17invited tourists onto the glass.
0:23:25 > 0:23:29It is an unnerving experience and it takes a little
0:23:29 > 0:23:33while to get used to.
0:23:33 > 0:23:36HE LAUGHS.
0:23:36 > 0:23:41I've only just begun to be able to do that.
0:23:41 > 0:23:45It's a remarkable feat and it's really something for the eyes.
0:23:45 > 0:23:48This entire structure is incredibly impressive and I'm sure we'll get
0:23:48 > 0:23:52very, very similar reactions when it's opened
0:23:52 > 0:23:59to the public next month.
0:24:04 > 0:24:06Dan Simmons, in Zhangjiajie.
0:24:06 > 0:24:10And next week we'll rerun part two of our Chinese trip,
0:24:10 > 0:24:13as we venture into the factories of Schengen.
0:24:13 > 0:24:17But, for now, I'll leave you to enjoy the view.
0:24:35 > 0:24:36Good morning.
0:24:36 > 0:24:39As is so often the case across the UK, the heat builds
0:24:39 > 0:24:41and the thunderstorms arrive, that is what is happening
0:24:41 > 0:24:42at the moment.
0:24:42 > 0:24:45Wednesday was the hottest day of the year so far,
0:24:45 > 0:24:47with 34 degrees recorded in Suffolk, the same too
0:24:47 > 0:24:48across Graves End and Kent.