Distributed type earthquake early warning information processing method and system

Abstract

The invention provides a distributed type earthquake early warning information processing method and system. The method comprises the following steps of: (1) collecting an earthquake motion waveform by earthquake monitoring instruments of various regions, and sending to a local earthquake early warning key information generation instrument; (2) processing received data to generate earthquake early warning key information by the earthquake early warning key information generation instrument, and sending the earthquake early warning key information to an early warning center server to be collected; and (3) calculating an earthquake basic parameter according to the earthquake early warning key information by the early warning center server, and then sending the early warning information which is obtained by a user according to the earthquake basic parameter and is input into the early warning center server to early warning information receiving and disposing equipment to finish earthquake early warning information processing. Because the early warning key information of each station is calculated on the station and is sent to the early warning center server, the distributed type earthquake early warning information processing method has the outstanding advantages that real-time dataflow transmission is greatly reduced, the communication cost is saved, and the data timeliness can be improved due to the reduction of the transmission data amount.

Description

technical field [0001] The invention relates to the field of earthquake early warning, in particular to a distributed earthquake early warning information processing method and system. Background technique [0002] Earthquake early warning (called earthquake emergency warning in Japan) refers to determining the location and intensity of an earthquake in the shortest possible time after an earthquake occurs, using modern communications and the relationship between fast but weak longitudinal waves and slow but strong shear waves Before the destructive seismic wave reaches the target area, early warning information will be sent to the target area, so that people can take emergency measures to reduce the loss of personnel and property. [0003] The workflow of the existing earthquake early warning system and the hardware composition of the earthquake early warning system are as follows: figure 1 For example, Japan's "Emergency Earthquake Rapid Reporting System" is composed in s...

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Problems solved by technology

[0004] The above method has high requirements on hardware and is suitable for places with good network communication conditions, otherwise real-time data transmission cannot be guaranteed

At the same time, if this method is used for real-time data transmission, the communication volume will be large, the transmission cost will be high, and the maintenance cost will be high; in some areas, it is necessary to set up dedicated lines for real-time data transmission of instruments, which limits the instrument deployment area and improves The cost of station layout is reduced; many stations in the already deployed seismic network do not have real-time communication capabilities, which limits the application of these stations in early warning, cannot make full use of resources, and increases construction costs

Another defect of the above method is that since there are many types of seismic instruments, such as strong motion instruments that collect acceleration values ​​and seismometers that collect velocity values, the real-time data they transmit to the central server are different. When these different types of data When it is transmitted to the central server, the central server needs to process it separately, especially seismographs include broadband seismographs, short-period seismographs, etc. When using these data, the central server needs to perform different processing, so the processing software of the central server It is necessary to classify these real-time streaming data, which makes the processing process complicated.

At the same time, the parameters and classification records of various testing instruments are also very cumbersome. Good and accurate seismic waveform information collection, transmission, and recording are required to ensure the correctness of central server processing.

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