公开(公告)号：US11151904B1

公开(公告)日：2021-10-19

申请号：US17227401

申请日：2021-04-12

Applicant: University of Science and Technology Beijing ,  China Railway Tunnel Consultants Co., Ltd. ,  Hebei Zhucheng Industrial and Mining Machinery Co., Ltd.

Inventor： Xiaomin Zhou ,  Yue Zhuo ,  Wenzhu Ma ,  Wei Li ,  Yan Xu ,  Yongsheng Liu ,  Xiaonan He ,  Yue Wang ,  Yongdai Wang ,  Shiwu Cai ,  Guijiang Wei ,  Xin Jiang ,  Zhiyuan Sha

IPC: G06G7/50 ,  G09B23/40

Abstract: Provided are a multi-functional stratigraphic structure model testing system and testing method. The system includes a test piece testing device platform that includes a watertight fan-shaped closed cavity, a fluid-solid coupling loading system, and an anti-arc reaction frame system. A coupling loading system region consist of hydraulic (liquid) loading and multi-directional solid-skeleton loading onto a pore or crack test piece, which can be independently operated or combined with each other's. The fan-shaped closed cavity is fixed through the anti-arc reaction frame system, and a fan-shaped center region is provided with an application region of underground working face. The other two flat fan sides are provided with application regions of physical and chemical improvement for surrounding rock.

公开(公告)号：US12041602B1

公开(公告)日：2024-07-16

申请号：US18395771

申请日：2023-12-26

Applicant: University of Science and Technology Beijing

Inventor： Lei Sun ,  Yuan Zhu ,  Jianquan Wang ,  Wei Li ,  Sha Li ,  Yang Zhang

IPC: H04W72/1263 ,  H04W72/0446 ,  H04W72/542 ,  H04W72/543

CPC classification number: H04W72/1263 ,  H04W72/0446 ,  H04W72/542 ,  H04W72/543

Abstract: A 5G-TSN resource joint scheduling apparatus includes: a state information acquisition module, a scheduling decision making module, and a configuration module. The state information acquisition module is configured to acquire bottom-layer network information, and process the acquired bottom-layer network information to obtain state information, the bottom-layer network information includes channel information, gate control list information of a TSN domain, and queue information in a base station. The scheduling decision making module is configured to obtain a result of decision making based on the state information output by the state information acquisition module using a DDPG-based reinforcement learning model, the result of decision making includes whether to allocate resources for a current queue and a number of resources actually allocated to the current queue. The configuration module is configured to convert the result of decision making to one or more instructions understandable by the base station to configure the base station.