Patents by Inventor Anye Cao

Anye Cao has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240078413
    Abstract: Disclosed is a massive data-driven method for automatically locating a mine microseismic source, including: constructing a microseismic wave calibration data set by using a large-scale seismic data set containing seismic signals and non-seismic signals; constructing a pre-training calibration model based on a full convolution neural network through deep learning of a seismic wave calibration data set; using microseismic data of mine sites for transfer learning of an initial arrival time calibration model to construct an arrival time automatic calibration model suitable for mine microseismic signals; and automatically as well as accurately locating mine microseismic events based on an isokinetic homogeneous isotropic velocity model by using an optimization algorithm to deduce arrival time errors and through repeated iteration and fine-tuning.
    Type: Application
    Filed: December 9, 2022
    Publication date: March 7, 2024
    Inventors: Anye CAO, Changbin WANG, Xu YANG, Yaoqi LIU, Sen LI, Qiang NIU, Linming DOU
  • Publication number: 20230341575
    Abstract: Disclosed is a method for analyzing and predicting a main fracture orientation of a mining face based on microseismic monitoring, including: collecting microseismic data generated by a coal rock burst; carrying out a hierarchical clustering on the microseismic data to obtain target hypocenter groups, of which the target hypocenter groups comprise several types of hypocenters; acquiring focal mechanism solutions of all the target hypocenter groups in the target hypocenter group, and acquiring a hypocenter azimuth and a hypocenter dip based on the focal mechanism solutions; and carrying out the hierarchical clustering on a hypocenter location, the hypocenter azimuth and the hypocenter dip, and predicting the main fracture orientation of the mining face.
    Type: Application
    Filed: November 21, 2022
    Publication date: October 26, 2023
    Inventors: Yaoqi LIU, Anye CAO, Changbin WANG, Xianxi BAI, Xu YANG, Wenhao GUO, Chengchun XUE, Songwei WANG, Guowei LYU, Yujie PENG, Geng LI, Zhifeng MA, Jianqiu XUE
  • 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
  • Publication number: 20230152479
    Abstract: The present disclosure provides a physics-based and data-driven integrated method for rock burst hazard assessment, including the following steps: determining an initial stress concentration coefficient by conducting grid discretization on an assessment region, and assigning a value to each of grid nodes using a Weibull distribution function; obtaining a stress concentration coefficient value of each grid node under physics-based models; introducing seismic wave CT detection data to obtain stress concentration coefficient distribution in the assessment region under the integration of a seismic wave CT detection and its derived characterization stress model; introducing microseismic data to obtain stress concentration coefficient distribution in the assessment region under the integration of a microseismic damage reconstruction stress model; and assessing the degree of rock burst hazard according to the size of the stress concentration coefficient value.
    Type: Application
    Filed: September 6, 2022
    Publication date: May 18, 2023
    Inventors: Wu CAI, Qiang Lu, Siyuan Gong, Anye Cao, Xuming Zhu, Xiang MA, Linming Dou
  • Patent number: 11326452
    Abstract: A similar simulation experimental device of hydraulic energy-absorbing roadway support is provided. A similar model is placed in a model box, a roadway is excavated in the similar model, and hydraulic energy-absorbing support devices are placed in the roadway on the periphery of the roadway. Front and rear ends of the hydraulic energy-absorbing support device are connected to supporting plates, left and right sides of the model box are provided with horizontal hydraulic cylinders, and front ends of the horizontal hydraulic cylinders are connected to pressure plates. One or several cushion blocks are placed at the top of the model box, and an upper pressure plate is placed above the cushion block(s). Vertical hydraulic cylinders are installed at both ends of the upper pressure plate. An impact rod passing through the upper pressure plate is placed above the cushion block to apply vertical impact load to the similar model.
    Type: Grant
    Filed: November 12, 2021
    Date of Patent: May 10, 2022
    Assignee: CHINA UNIVERSITY OF MINING AND TECHNOLOGY
    Inventors: Anye Cao, Yaoqi Liu, Chengchun Xue, Guifeng Wang, Geng Li, Wu Cai, Siyuan Gong, Linming Dou