[APPLAUSE]
>> Oh, it's my turn now.
Yeah, good afternoon, everyone.
My name is Wu Jian. I come from the Tencent Jarvis
Laboratory.
Today, I want to talk about the topic of data visualization
for the BIM and smart cities, about how we can create it
with the technology of Unreal 4 to improve efficiency, service,
and helping more people in some of the emergency circumstances.
But before I start, I want to play a video, a short video.
And it will tell you who we are and what we have
done in the past few years.
[MUSIC PLAYING]
>> Hello, how are you?
Tencent Jarvis Lab is part of Tencent Cloud Infrastructure.
We focus around building a knowledge and decision platform
to enable a safest and trusted experience
in both digital and physical world.
We invest heavily in big data, machine learning, and data
visualization to create a rich solution spanning
across the medical and health care sectors,
and we're certainly looking forward
to partner with Epic Games to build
our reliable advanced solutions for our customers
in both commercial and consumer sectors.
>> Penrose was the first time to use UE4 in the big data
visualization field.
We are always committed to providing our customers
with stunning, high-quality products and services.
This constantly drives us moving forward.
At the same time, the powerful capabilities of UE4
allow us to turn imaginations into reality
and help us grow steadily.
>> Well, mom told me that life's like a box of chocolates.
Well, today, I finally figured it out from this picture.
Well, in the past nine years, we have tried many frameworks.
I must say that Unreal Engine 4 is the best
choice we have ever made.
Well, because as a designer team,
Blueprints gave us a lot of choice to get to the point.
And this is how we start our development.
This is a project, code, hospital control cabin.
What we are looking at is the visualization
of measurements of a hospital for a 24-hour period
with the powerful professional animation
tools of Unreal Engine, which control
the parameters such as lens, select rows, timeline,
et cetera to create a visualization of a hospital
that can manage over 4 million visitors in every year.
With the VR SDK, we can create an immersive experience,
just like the PDR1 acts on the cancer.
This is the Medical VR Project.
In this case, doctors and the patients
can interact with the simulation in real-time.
That is convenient for the patients
to understand the principle of treatment.
And using the pixel streaming, we
can even we can even deploy the experience
to the patient's home.
Recently, we are using part of the Unreal Studio's
Datasmith
so we can read the BIM data.
And this is a project that we're building,
this Shenzhen Exposition Center, the largest pavilions building
in the world.
Our solution captures all the building's data
from almost 10,000 devices in real-time,
including energy, security, vehicles, and equipment,
so that we can make the building smart and safe.
That means when there is nobody for a while,
the building's air conditioner will shut down to save energy
and even use the Chaos technology.
We can simulate the security arrangements
from a virtual fire or earthquake.
Based on the TenCent Cloud Map Data,
we dynamically generate the city model and the render
the city's scene.
By analyzing the map data, we can transfer the streets,
buildings, and the terrain parameters in Unreal Engine,
generate the model and the materials in real-time
through the render pipeline.
Finally, we can get an excellent city scene based on this.
We mapped the medical condition of the city Changsha in China.
And then, city scene will use it to track the delivery
of and use of [INAUDIBLE]--
visualization of disease transmission.
Based on the ability to process the big data,
we build a data warehouse service [INAUDIBLE]
Unreal Engine.
The management of data is divided into three parts--
the data events, processing, and the rendering--
which are used to analyze, rebuild, and generate
different type of results into terms of information graphics
for the user.
In [INAUDIBLE] 2018, we use the RRI-Analyzed model
to predicted the abnormal data.
So we can further assist in the service
of medical rescue, event security, track
abnormal situation, and emergency response.
In 2011 it was the beginning of Penrose
We were just crazy about the beauty of the data.
We didn't have any grand ambitions.
But it turned out that Penrose service
can improve more than 10 million visitors' medical user
experience every year.
So we start to think about these two things--
Cloud Saas, applied game, and real-time simulation.
In the past we were focused on the games
and the social networks.
Right now, we're committed to the health, medical care,
and even [INAUDIBLE] governance.
In the future, we want to do something
for the city and human beings.
Thank you.
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