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AI calculation method, device and medium for real-time earthquake monitoring based on edge-cloud collaboration

A technology of real-time monitoring and calculation methods, which is applied in the directions of measuring devices, seismic measurement, calculation, etc., can solve the problems of inability to adjust parameters and inability to accurately collect micro-seismic data, and achieve the effect of improving transmission efficiency and saving resources

Active Publication Date: 2022-03-22
INST OF GEOLOGY & GEOPHYSICS CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present disclosure provide an AI calculation method, device and medium for real-time seismic monitoring based on edge-cloud collaboration, to at least solve the problem that the parameters of the algorithm model of the micro-seismic acquisition equipment in the prior art are fixed, so it cannot Adaptively adjust parameters according to the actual detection environment or ground conditions, and thus cannot accurately collect microseismic data according to the actual environment.

Method used

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  • AI calculation method, device and medium for real-time earthquake monitoring based on edge-cloud collaboration
  • AI calculation method, device and medium for real-time earthquake monitoring based on edge-cloud collaboration
  • AI calculation method, device and medium for real-time earthquake monitoring based on edge-cloud collaboration

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Embodiment 1

[0025] According to this embodiment, an embodiment of an AI calculation method for real-time earthquake monitoring based on edge-cloud collaboration is provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be implemented in a computer system such as a set of computer-executable instructions and, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0026] The method embodiments provided in this embodiment can be executed in a server or similar computing devices. figure 1 A hardware structure block diagram of a computing device for implementing the microseismic data processing method is shown. Such as figure 1 As shown, the computing device may include one or more processors (processors may include but not limited to processing devices such as microprocessors MCUs or programmable logic devices FPGAs), memory for ...

Embodiment 2

[0078] Figure 8 The microseismic data processing device 800 according to this embodiment is shown, and the device 800 corresponds to the method according to the first aspect of the first embodiment. refer to Figure 8 As shown, the device 800 includes: a data receiving module 810, which is used for the remote server to receive effective event data related to microseismic from the edge computing device, wherein the effective event data is collected by the edge computing device using the microseismic data analysis model to the edge computing device The obtained microseismic data is calculated and analyzed; the migration training module 820 is used for the remote server to perform migration training on the microseismic data analysis model according to the effective event data; and the model update module 830 is used for the remote server to perform migration training The microseismic data analysis model is sent to the edge computing device for model update.

[0079] Optionally...

Embodiment 3

[0089] Figure 9 The microseismic data processing device 900 according to this embodiment is shown, and the device 900 corresponds to the method according to the first aspect of the first embodiment. refer to Figure 9 As shown, the apparatus 900 includes: a processor 910; and a memory 920, connected to the processor 910, used to provide the processor 910 with instructions for processing the following processing steps: the remote server receives valid events related to microseismic events from the edge computing device data, wherein the effective event data is obtained by the edge computing device using the micro-seismic data analysis model to calculate and analyze the micro-seismic data collected by the edge computing device; the remote server performs migration training on the micro-seismic data analysis model according to the effective event data; and The remote server sends the microseismic data analysis model after migration training to the edge computing device for mode...

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Abstract

This application discloses an AI computing method, device and medium for real-time earthquake monitoring based on edge-cloud collaboration. Wherein, the method is applied to a microseismic data processing system, and the microseismic data processing system includes an edge computing device and a remote server communicated with the edge computing device, wherein the remote server pre-deploys the microseismic data analysis model based on artificial intelligence to the edge A computing device, and the method includes: the remote server receives effective event data related to microseismic events from the edge computing device, wherein the effective event data is calculated and analyzed by the edge computing device using a microseismic data analysis model on the microseismic data collected by the edge computing device obtained; the remote server performs migration training on the microseismic data analysis model according to the effective event data; and the remote server sends the microseismic data analysis model after the migration training to the edge computing device for model update.

Description

technical field [0001] The present application relates to the technical field of earthquake monitoring, in particular to an AI computing method, device and medium for real-time earthquake monitoring based on edge-cloud collaboration. Background technique [0002] Microseismic data acquisition equipment is widely used in passive source seismic response monitoring such as microseismic and induced seismic monitoring in unconventional oil and gas development, background noise monitoring, and urban underground space detection. The conventional microseismic monitoring process includes manual station deployment, long-term data collection, manual collection of stations, data reading, sorting, processing and analysis, etc. However, with the continuous improvement of monitoring requirements, it is more and more necessary to be able to perform microseismic monitoring and data processing and analysis in real time, so as to understand the changes of the underground medium in real time, d...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/28G01V1/30G06F9/54G06F16/21G06F16/23G06F16/25
CPCG01V1/282G01V1/288G01V1/30G06F9/547G06F16/214G06F16/2365G06F16/252G06N3/08G06N3/044G06N3/045G06N20/00G01V1/34G01V1/01
Inventor 薛清峰王一博姚艺
Owner INST OF GEOLOGY & GEOPHYSICS CHINESE ACAD OF SCI