Patents Assigned to Xuzhou Hongyi Technology Development Co., Ltd.
  • Publication number: 20230385486
    Abstract: A method for improving a monitoring capability of a borehole-surface micro-seismic monitoring system includes selecting multiple candidate points for installing surface wireless sensors to form a natural-number-coded candidate point set and combining a fixed number of candidate points randomly selected from the candidate point set with an underground installed sensor set to form a borehole-surface micro-seismic monitoring network; carrying out multiple random selections until a certain scale of borehole-surface micro-seismic monitoring network deployment plans are generated; establishing an evaluation model for a monitoring capability of each borehole-surface micro-seismic monitoring network deployment plan according to a propagation relation equation between a micro-seismic energy and a first-arrival peak amplitude of a P-wave, forming an initial population; determining an optimal borehole-surface micro-seismic monitoring network deployment plan through a genetic algorithm; and determining an optimal surface
    Type: Application
    Filed: March 30, 2023
    Publication date: November 30, 2023
    Applicants: CHINA UNIVERSITY OF MINING AND TECHNOLOGY, Xuzhou Hongyi Technology Development Co., Ltd.
    Inventors: Siyuan GONG, Qing GE, Linming DOU
  • Patent number: 11719841
    Abstract: A timing alignment method for data acquired by monitoring units of a borehole-surface micro-seismic monitoring system includes acquiring two rock-burst waveform data segments with GPS timestamps; calculating a time difference and a number of sampling points between each pair of adjacent GPS timestamps; adding, on an equal-interval basis, a sampling time to a sampling point missing a timestamp between each pair of adjacent GPS timestamps; calculating average sampling frequencies of the two rock-burst waveform data segments, adding, on an equal-interval basis, a sampling time to a sampling point missing a timestamp except first and last GPS timestamps in each of the two data segments; obtaining sampling times of all sampling points, resampling the sampling times according to a uniform sampling frequency; calculating a rock-burst waveform data segment at a new sampling time with a linear interpolation formula, and aligning the sampling times of the two rock-burst waveform data segments.
    Type: Grant
    Filed: March 16, 2023
    Date of Patent: August 8, 2023
    Assignees: CHINA UNIVERSITY OF MINING AND TECHNOLOGY, Xuzhou Hongyi Technology Development Co., Ltd.
    Inventors: Siyuan Gong, Qing Ge, Linming Dou
  • Publication number: 20230168406
    Abstract: A rock burst hazard prediction method based on vibration wave energy attenuation characteristics of a mine earthquake cluster is provided. The rock burst hazard prediction method comprehensively considers the static load and dynamic load effects of the vibration waves of the mine earthquake cluster based on vibration wave energy attenuation characteristics of the mine earthquake cluster. The static load strength index and the dynamic load strength index involved in the method have clear physical meanings. A comprehensive prediction index calculation model proposed based on the dynamic and static load superposition principle of rock burst occurrence is clear, and the method has a firm theoretical support as well as strong universality and operability. Meanwhile, the updating and adjustment of weights are rapid and the objective judgment and prediction of the final comprehensive prediction results are efficient, and the high-energy mine earthquake and impact behavior area can be effectively predicted.
    Type: Application
    Filed: November 24, 2022
    Publication date: June 1, 2023
    Applicants: China University of Mining and Technology, Xuzhou Wushuo Information Technology Co., Ltd., Xuzhou Hongyi Technology Development Co., Ltd.
    Inventors: Anye CAO, Yaoqi LIU, Chengchun XUE, Changbin WANG, Xu YANG, Yingyuan WEN, Wenhao GUO, Songwei WANG, Xianxi BAI, Guowei LV, Yujie PENG, Geng LI, Zhifeng MA, Jianqiu XUE