What is the era of great wisdom and cloud migration?

Question 1: What are the five characteristics of smart cities? Urban big data is an important asset of smart cities. We use a variety of databases, including population databases, legal person databases, geographical databases, economic databases, etc., to build government clouds, industry clouds, and industrial clouds to support our wisdom through data fusion, data mining, and data sharing. City. Sensing cities, wireless cities, digital cities, and broadband cities are inevitable requirements for smart cities. Innovative city, humanistic city, safe city, happy city, sponge city, livable city, healthy city and green city are the proper meanings of smart city.

1. Big data and public *** services

The United States stipulates that 1/4 of the *** information technology budget must be used for cloud computing, that is, the use of cloud computing to manage. In some places, we do not build our own clouds, but cooperate with commercial companies (Jinpeng Information) and others.

2. Big data and traffic management

For example, there are many cameras on the streets of Jinshui District in Zhengzhou. Through these cameras, you can see the traffic conditions on different roads at different times: Yes Traffic jam, traffic control, or traffic accident. The important thing is to use big data to combine all phenomena and send them to every driver and pedestrian in real time. Drivers and pedestrians can choose detours accordingly. I have also seen many traffic display screens in Beijing, but sometimes when I see the display screens, I am actually in a situation where I can neither move forward nor retreat. This shows that our big data applications still need to be improved.

3. Big Data and Environmental Protection

In the Yellow River, a device sinks to the bottom of the water to take samples, rises to the surface to take samples again, and then transmits the pollution detection results back to the backend through satellite. The backend Through cloud computing, data centers, and big data mining, the pollution status of the river is obtained, and then a digital river model is made. Clicking on a certain point on the river online will tell you the pollution status at that point. Many places in our country, such as Shanghai, have tested the emissions, surface water quality, and noise of the entire region.

4. Big data and social security

Drugs no longer dare to be grown in the open because they can be monitored by satellites, drones, and airplanes. Some people rent or buy a big house in big cities and use flower pots to grow marijuana and other drugs. If there is no sunlight, use LED lights for lighting. This situation cannot be investigated by plane. Therefore, big data from power companies was collected. Generally, people use electric lights more at night and less during the day, but in places like this, they are used both during the day and at night. Therefore, power consumption is used to determine whether there is a problem in a building.

5. Big Data and Urban Development

Shanghai hosts a development data competition, including urban roads, subways, all-in-one cards, buses, taxis, etc., to collect ideas from all over the world on how to improve transportation and convenience. Citizens and how to innovate. Guangzhou encourages all cyclists to take pictures of anything bad and upload it online to optimize management through such measures.

6. Big data has been widely used in agricultural research, financial markets, weather forecasts, news reports, etc. For example, Wal-Mart determines customers' preferences when purchasing items based on the number of online purchases each month, optimizes the arrangement of product counters, and sales surge.

The combination of big data, intelligence, mobile Internet, cloud computing, and the Internet of Things represents the characteristics of the times in a new stage of information technology development. Big data supports the refined management of society and the construction of smart cities, and is an important starting point for improving management and services.

my country’s big data still has a long way to go and faces great challenges. As the most populous country in the world, our country generates an extremely large amount of data, but the actual stored data is only 7% of that in North America and 60% of that in Japan, and half of the data stored in our country that should be protected is not protected. Some departments and institutions in our country have big data, but it is difficult to fully share it, resulting in incomplete information or repeated investment. Those who have data do not mine or apply it, and those who want to mine or apply do not have the data. To solve this problem, *** should act more actively.

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