Application of on-site earthquake early warning cloud integration and regional early warning cross backup
An information platform for providing an earthquake early warning of a large area is disclosed. The large area includes a plurality of small districts, different sets of the plurality of small districts form different large districts according to geographical locations so as to make up the large area, and the information platform is both connected with a plurality of on-site earthquake early warning stations and the plurality of small districts through a cloud network. The plurality of on-site earthquake early warning stations are located in the large districts respectively, each of the plurality of on-site earthquake early warning stations is configured to obtain a real-time seismic longitudinal wave measurement data, obtain a real-time seismic transverse wave feature prediction value corresponding to the real-time seismic longitudinal wave measurement data, and transmit the real-time seismic transverse wave feature prediction value.
1. An information platform for providing an earthquake early warning of a large area, wherein the large area includes a plurality of small districts, different sets of the plurality of small districts form different large districts according to geographical locations so as to make up the large area, and the information platform is both connected with a plurality of on-site earthquake early warning stations and the plurality of small districts through a cloud network, wherein:
the plurality of on-site earthquake early warning stations are located in the large districts respectively, each of the plurality of on-site earthquake early warning stations is configured to obtain a real-time seismic longitudinal wave measurement data, obtain a real-time seismic transverse wave feature prediction value corresponding to the real-time seismic longitudinal wave measurement data, and transmit the real-time seismic transverse wave feature prediction value; and
the information platform is configured to receive the plurality of real-time seismic transverse wave feature prediction values from the plurality of on-site earthquake early warning stations through the cloud network, and transmit the plurality of real-time seismic transverse wave feature prediction values to the plurality of small districts through the cloud network based on geographical locations of the plurality of small districts.
2. The information platform according to claim 1 , wherein when the on-site earthquake early warning station in a first one of the large districts fails, the information platform is configured to select a respective real-time seismic transverse wave feature prediction value of a second one of the large districts near the first one of the large districts and transmit the respective real-time seismic transverse wave feature prediction value from the on-site earthquake early warning station in the second one of the large districts to all the small districts located in the first one of the large districts through the cloud network.
3. The information platform according to claim 1 , wherein each of the real-time seismic transverse wave feature prediction values includes a maximum surface acceleration value.
4. The information platform according to claim 1 , wherein each of the real-time seismic transverse wave feature prediction values includes a maximum surface speed value.
5. The information platform according to claim 1 , wherein each of the real-time seismic transverse wave feature prediction values includes an intensity level.
6. The information platform according to claim 1 , wherein the real-time seismic transverse wave feature prediction values received by one of the plurality of small districts through the cloud network are originally obtained by the on-site earthquake early warning station located in the same large district.
7. The information platform according to claim 1 , wherein the real-time seismic transverse wave feature prediction values received by one of the small districts through the cloud network are originally obtained by the on-site earthquake early warning station located in the large district near the large district where the one of the small districts is located.
8. An information platform for providing an earthquake early warning of a large area, wherein the large area includes a plurality of small districts, a plurality of on-site earthquake early warning stations, and different sets of the plurality of small districts constitute different large districts respectively according to geological locations of the plurality of on-site earthquake early warning stations respectively so that each of the plurality of on-site earthquake early warning stations is disposed in one of the large districts, wherein each of the plurality of on-site earthquake early warning stations is configured to obtain a real-time seismic longitudinal wave measurement data, obtain and transmit a real-time seismic transverse wave feature prediction value based on the real-time seismic longitudinal wave measurement data, and the information platform is configured to:
receive the plurality of real-time seismic transverse wave feature prediction values from the plurality of on-site earthquake early warning stations through a cloud network connecting to the plurality of on-site earthquake early warning stations and the plurality of small districts respectively; and
transmit one of the plurality of real-time seismic transverse wave feature prediction values to the plurality of small districts through the cloud network.
9. The information platform according to claim 8 , wherein the real-time seismic transverse wave feature prediction values received by one of the plurality of small districts through the cloud network are originally obtained by the on-site earthquake early warning station located in the same large district.
10. The information platform according to claim 8 , wherein the real-time seismic transverse wave feature prediction values received by one of the small districts through the cloud network are originally obtained by the on-site earthquake early warning station located in the large district near the large district where the one of the small districts is located.
11. The information platform according to claim 8 , wherein each of the real-time seismic transverse wave feature prediction values includes a maximum surface acceleration value.
12. The information platform according to claim 8 , wherein each of the real-time seismic transverse wave feature prediction values includes a maximum surface speed value.
13. The information platform according to claim 8 , wherein each of the real-time seismic transverse wave feature prediction values includes an intensity level.
14. The information platform according to claim 8 , wherein when the on-site earthquake early warning station in a first one of the large districts fails, the information platform is configured to select a respective real-time seismic transverse wave feature prediction value of a second one of the large districts near the first one of the large districts and transmit the respective real-time seismic transverse wave feature prediction value from the on-site earthquake early warning station in the second one of the large districts to the small districts located in the first one of the large districts through the cloud network.
15. A method for providing an earthquake early warning of a large area, wherein the large area includes a plurality of large districts and a plurality of small districts, comprising the following steps of:
providing a plurality of on-site earthquake early warning stations separately disposed in the plurality of large districts;
allocating different sets of the plurality of small districts into different large districts respectively according to geological locations of the plurality of on-site earthquake early warning stations respectively so that each of the plurality of on-site earthquake early warning stations is disposed in one of the large districts;
providing an information platform connected to the plurality of on-site earthquake early warning stations and the plurality of small districts through a cloud network;
for each of the large districts, obtaining a real-time seismic transverse wave feature prediction value corresponding to an on-site seismic longitudinal wave measurement data relevant to the large district via at least one of the plurality of on-site earthquake early warning stations; and
causing the information platform to receive at least one of the plurality of real-time seismic transverse wave feature prediction values from the plurality of on-site earthquake early warning stations through the cloud network, and transmitting the at least one of the plurality of real-time seismic transverse wave feature prediction values to the plurality of small districts through the cloud network based on a pre-determined allocation.
16. The method according to claim 15 , furthering comprising a step of:
continually monitoring the plurality of on-site earthquake early warning stations.
17. The method according to claim 15 , wherein when the on-site earthquake early warning station in a first one of the large districts fails, the information platform is configured to select a respective real-time seismic transverse wave feature prediction value of a second one of the large districts near the first one of the large districts and transmit the respective real-time seismic transverse wave feature prediction values from the on-site earthquake early warning station in the second one of the large districts to the small districts located in the first one of the large districts through the cloud network.
18. The method according to claim 15 , wherein each of the real-time seismic transverse wave feature prediction values includes a maximum surface acceleration value.
19. The method according to claim 15 , wherein each of the real-time seismic transverse wave feature prediction values includes a maximum surface speed value.
20. The method according to claim 15 , wherein each of the real-time seismic transverse wave feature prediction values includes an intensity level.