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    • 4. 发明专利
    • INTELLIGENT PREDICTION METHOD AND SYSTEM FOR GROUND PRESSURE DISASTERS OF WALL ROCK AFFECTED BY MINING
    • LU502697B1
    • 2022-10-14
    • LU502697
    • 2020-04-23
    • UNIV BEIJING SCIENCE & TECHNOLOGY
    • LV XIANG FENG
    • G06N20/00E21F17/00E21F17/18G06F30/27G06F119/14
    • Provided are an intelligent prediction method and system for ground pressure disasters of wall rock (1) affected by mining, relating to the technical field of the prediction and prevention of ground pressure disasters due to deep mining. The method comprises the following steps: S1: providing a sensor in wall rock (1) affected by mining in order to acquire wall rock data; S2: constructing a stress-strain curve by using the acquired wall rock data, and extracting data before a wall rock stress reaches a stress limit to serve as pre-peak data, and data after the wall rock stress reaches the stress limit to serve as post-peak data; S3: substituting consecutive pre-peak data or post-peak data, within a period of time, into a machine learning model to perform impending disaster warning, so as to obtain a preliminary prediction result; S4: evaluating the preliminary prediction result on the basis of a wall rock instability theory and external environment information to obtain an evaluation result; and S5: completing final disaster decision-making according to the evaluation result. In this way, the preliminary prediction for ground pressure disasters can be completed by means of machine learning model, and the prediction result is verified according to a certain standard and model, such that both excellent accuracy and practicability are provided.
    • 10. 发明专利
    • Method and System for Early Warning the Quality and Safety of Cross-border Renewable Resources
    • AU2021102081A4
    • 2021-06-03
    • AU2021102081
    • 2021-04-20
    • UNIV BEIJING SCIENCE & TECHNOLOGY
    • HUANG GUOZHONGZHANG MENGRUOU SHENGNANXIE JIAYINGZHANG DINGLI
    • G06Q10/06G06Q50/26
    • The invention relates to the field of early warning, in particular to a method and a system for early warning the quality and safety of cross-border renewable resources. The method comprises collection of risk information of cross-border renewable resources, which includes basic factors and additional factors; preliminary judgement on the risk grade of the basic factors and additional factors respectively, wherein the risk grade of the basic factors is obtained by adopting the maximum principle and the risk grade of the additional factors is obtained through the membership principle. Specifically, the risk grade contains low grade, medium grade and high grade; if the risk grade is high, quality and safety early warning will be issued for cross border renewable resources. According to the method, the collected risk information is preliminarily evaluated, and the early warning is directly issued for high grade risk. Besides, secondary comprehensive early warning evaluation is carried out for medium and low risk grade which cannot be clearly defined. The multi-stage early warning process can effectively improve the early warning efficiency and facilitate the early warning work. There are problems a n Lack of quamntin o e Lack of relevant with raw materials. supervision policy standards Radioactivity,i Appearance, sensory, toxic substances, polymer, ash, etc. inclusions, microorganisms,e r risk Me gger FAccumulatiofon N Issue early warning y Possible exposure to the human body/environent in time. environmentiuman body Exceeding the y environmental/u Lead to risk tolerance threshold Figure 3 A risk mechanism diagram of one embodiment of the early warning method for the quality and safety of cross-border renewable resources according to the present invention. InputProcessor MemoryOutput device Figure 4 A frame diagram of one embodiment of the early warning system for the quality and safety of cross-border renewable resources according to the present invention.