Patent · US Active

K-nearest neighbour rock burst prediction method and device based on big data visualization analysis

US11422076B1 · kind B1 · utility

0Cited by

0References

4Claims

0Family size

Assignee

Beijing University of Civil Engineering and Architecture · CN

Inventors

Yu Zhang · Farmington Hills, US
Mingkui Zhang · Beijing, CN
Dongqiao Liu · Beijing, CN
Maozu Guo · Beijing, CN
Jitao Li · Beijing, CN
Zhaoyong Lv · Beijing, CN
Yilin Su · 安丰镇, CN
Kailong Gao · Beijing, CN
Kaifeng Liu · 安丰镇, CN

Key dates

Filing date	Feb 25, 2022
Grant date	Aug 23, 2022
Priority date	—
Expiry date	Feb 25, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG06F17/142
WIPO fieldMeasurement
WIPO sectorInstruments

Abstract

A K-nearest neighbour rock burst prediction method and device based on big data visualization analysis are provided. The method includes the following steps: S1, obtaining spectrum characteristics and amplitude/energy characteristics of rocks according to rock data; and S2, accurately predicting rock burst by a K-nearest neighbour algorithm according to the spectrum characteristics and the amplitude/energy characteristics. By adopting the technical scheme, the rock burst can be accurately predicted to avoid huge economic and casualties.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.