Mobile SMS big data epidemic situation query

With the discovery of a new place: COVID-19 was found in the imported salmon chopping board, the whole country turned from relaxation to tension.

Let's take a look at the epidemic situation in Beijing so far:

Since June 1 1, 922 cases have been diagnosed and 326 cases have been diagnosed. Judging from the distribution data, it is mainly concentrated in Fengtai District, Daxing District and Haidian District.

Judging from the new trend, under the strict terrorism prevention in Beijing, the epidemic situation is getting better every day. At this time, I want to say to Beijing: Hold on!

However, as soon as the epidemic broke out, everyone passing by Xinfadi received a short message: "After the analysis of big data in the whole city, you may have been to Xinfadi wholesale market after May 30th (inclusive) ...".

At this time, we saw the role of big data, but how did big data know?

First of all, what is a base station? The base station is a public mobile communication base station, which is not only a radio station, but also an access port of the mobile Internet. Our mobile phone can realize the mobile internet, which is the signal sent by the base stations of various operators.

Operator's base station positioning is to calculate the user's journey or position trajectory through signal interaction with the base station, which is used to monitor the flow of personnel.

Therefore, whenever you have been to a new place, or pass by a new place, as long as you use your mobile phone within the range, you will trigger the signaling data of nearby base stations through traffic data, GPS positioning, text messaging, phone calls, etc. And save the data in the background, so as to trace back to the user's behavior and finally confirm the user's trajectory.

Only in this way can a large number of people receive notification messages.

But if you really just drive through a new place, is it relatively safe? Then, if we use Gaode map and Baidu Eye for cross-validation to further screen people with different risk levels, will it be more efficient?

In addition to the positioning of people around the new land, in the previous Wuhan epidemic, Baidu migration data and 12306 real-name registration system registered ticket sales data both played a vital role in epidemic prevention and control.

Big data+artificial intelligence helps to prevent and control the epidemic accurately, and uses big data technology to realize information sharing and query screening.

From the role of big data in the two epidemics, we can know that it can not only effectively reduce the spread and spread of the epidemic, but also provide data support for the epidemic, so as to analyze and predict.

However, big data also has a recognized disadvantage, that is, information data security. Therefore, big data still has a way to go, but its development is inevitable. In the future, the development of artificial intelligence, Internet of Things and cloud computing cannot be separated from the support of big data.