SMS query big data trip record

With the discovery of a new place: COVID-19 virus was detected on the chopping board of imported salmon, the whole country changed from relaxation to nervousness.

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, they are mainly concentrated in Fengtai District, Daxing District and Haidian District.

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

However, just after the outbreak, everyone passing by Xinfadi received a text message: "After the analysis of big data in the whole city, you may have been to Xinfadi wholesale market after May 30 (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? A base station is a public mobile communication base station, which is both a radio station and an access port of the mobile Internet. Our mobile phones can realize the mobile Internet, which is a signal from the base stations of various operators.

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

Therefore, whenever you have been to a new place or passed through 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, texting, and making phone calls. And save the data in the background, so as to trace the user's behavior and finally confirm the user's trajectory.

Only then did a large number of people receive the notification message.

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 locating new places around people, in the previous Wuhan epidemic, Baidu migration data and 12306 real-name registration system registration system ticketing data both played a vital role in epidemic prevention and control.

Big data+artificial intelligence helps 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, and the future development of artificial intelligence, Internet of Things and cloud computing cannot be separated from the support of big data.