How to realize the value of big data in the construction of smart cities
Inside the discussion about the application of big data, the smart city is extremely hot, which is also a guiding direction for the development of each city. In the process of big data and smart city development, the value of big data is very large, but if these big data are not well applied, his value is zero. So, what kind of city is a smart city in the era of big data? What role does big data play in it?
One, urban planning
You see now every city in urban planning, there are many problems, for example, in Beijing, almost all the dust, there are no companies, there are no factories, there is no school, everyone goes to the city, so the planning, we move through the information, to be able to accurately plan the city well.
The United States, New York is also a very large city in the world, big data turned out to be in every city where there are old people, there is an old people need to serve things. It turns out that there are more than 40 companies doing this, more than 40 companies is very big, but the solution is very bad, people are very dissatisfied. That is, the intelligence of the service is very poor, we put forward this 311 calls, 311 calls later, he was 400 people, the final result of the service?80% of the people's call 30 seconds out, the result is a very big change. That is 170 languages, probably more than 50,000 households and counties, why can do this, is the resource of big data, there is no way to get out without the resource of big data.
New York City is ahead of the curve in terms of open data, more than 1,100 data, you see this number below, this mayor of New York City, he is in the office every day, his entire New York City traffic congestion, which garbage no one collects, PM2.5 are all at a glance, there are all these data. This is a city's data, he used this data, can solve a lot of problems. For example, where you are, he can predict, all of these data can be publicly utilized, can have a great value of utilization.
Two, intelligent transportation
Each city intelligent transportation is a big problem, to solve two problems, one is to solve the traffic to bring safety to people's accidents, more than 70,000 deaths a year because of traffic accidents, this contradiction can we use big data technology to solve this, and congestion, can we use big data to solve the problem of congestion.
Now our car has a location of less than 5%, that is, a large number of cars are their own cell phone location information, the end of this mobile communication, the driver bound to your location information, from Monday to Friday, how many cars in and out of each intersection, there is a regularity of these big data to direct our traffic, this is a completely different follow-up to the community.
Let's do an experiment, a city of about how many million people, seems to be more than 5 million of this statistics. These people at night the location of the information 96% know, more accurate, daytime 94% know, this is all very accurate. These location information is of great value and privacy. These data as a public **** service, are objective. But these data mining out there? Application out of it? No.
We all know that the data value of the car network is very large, the car network to solve this problem, he now puts forward our 50 milliseconds, 10 milliseconds, and now put forward to 3 milliseconds, because the car how to solve the problem, this should be reduced to 1 milliseconds, we are 90 milliseconds of the Internet, are still far more than.
Three, medical
How to solve the medical problem, want to provide a figure to everyone. The United States is very developed in terms of medical care he has industry in the United States is very large, to 2020 can year up to 20% of the U.S. GDP and 20% is how large the amount of medical data to be able to unify. After this problem is solved, it will be able to solve a unified problem of all big data.
Now predicted that our country in the medical aspect of health care by 2020, health care about 10,000 hospitals, we are in the GDP is only 5%, this global average is 10%, we are lower than the global average, with our comprehensive level of improvement, this proportion will be more and more large. But this aspect, we have this status medical some enrollment events, we are growing 23% per year, can we alleviate these contradictions through the application of big data, I think it is very urgent. This is the EU about medical equipment to set up a big data a service company, are doing such a discussion.
In big data, mHealth may become our own doctor, and one day in the future, it will become the doctor of our health care. Some people are now predicting that by 2015, there will be about 500 million cell phones that will have medical features, but most of them are still very small right now. But everyone is doing it now, Apple is doing it, that is, through the cell phone to measure blood glucose, or measure your asthma, measure the medical list, now these aspects, we will get some more common applications. In addition, in the public **** safety, our country is about 600 billion dollars of losses every year, there are more than 200,000 deaths, this loss is very big. I also give an example, is a county in Jilin flooding, but also the Wenchuan earthquake period, everyone is in silence, think it is God's doing, can not help, but we have a weather forecast, with geographic features of this information, we can avoid the development of these disasters.
Fourth, emergencies
In the case of emergencies, they can be avoided if the government has taken this measure. To give an example, a flood in Beijing, this accident killed dozens of people, the Beijing municipal government leaders gave us the situation is: that is a tourist attraction, there is a river gorge, a manager to see the situation is not good, they told them that less than ten minutes later, flash floods, otherwise, it can be imagined.
If we had weather forecasts, we could all know. What's even scarier is that there is a river at the Beijing airport, that is, if it rains a little bit more, it can back up into the basement, and if it backs up after that, the building is declared to be collapsing, and all these means, all these techniques no one is going to talk about, and all these aren't very difficult things to do, but it requires that these data be opened up.
You may know that the Nanjing gas pipeline, a migrant worker construction, gas explosion, the migrant workers detained, in Beijing, I was indignant, in Nanjing lectures, I told them, I said you this leader should give him a where there is a pipeline has this data. He invited me to dinner at night said Academician Liu, I really do not have this data, said three meters away from a data, in fact, less than a meter when this pipe was dug out. Is there any such data? Some have, some do not, that is, government departments did not publicize, these data can not not open.
Just like the GDP of Jiangsu Province, and coastal, so developed city, these data are not, you are more dangerous. So our big data shouting so much, but not implemented in practice, my opinion is to hurry to find your problem, see if that can be solved with big data. Otherwise speak half a day, his value, it is not reflected. We talk about purification, but he is the same as the environment, these data are there, you and your problems combined, he can play his value. These disaster aspects, the need for big data platform.
The above is what I shared with you about how to realize the value of big data in the construction of smart cities, more information can be concerned about the Global Green Ivy to share more dry goods