公开(公告)号：US20230410012A1

公开(公告)日：2023-12-21

申请号：US18091663

申请日：2022-12-30

Applicant: Qingdao University of Technology

Inventor： Liming Zhang ,  Zhongyuan Liu ,  Yu Cong ,  Xiaoshan Wang ,  Zaiquan Wang ,  Fanxiu Chen ,  Jinfeng Cao

IPC: G06Q10/0635 ,  G06Q50/26 ,  G06F18/25 ,  G06N3/0442 ,  G06N3/08

CPC classification number: G06Q10/0635 ,  G06Q50/265 ,  G06F18/251 ,  G06N3/0442 ,  G06N3/08

Abstract: A project disaster warning method and system based on collaborative fusion of multi-physical field monitoring data is provided. The method includes: acquiring and preprocessing multi-sensor real-time monitoring data of potentially dangerous parts of a project structure; normalizing multi-physical field monitoring time sequence data to construct a normalized sample matrix; analyzing sensitivities of various physical field monitoring indicators to a safety state of a project by using a multivariate statistical method; guiding initialization training of a LSTM network according to the sensitivities, and obtaining output results of the LSTM network; obtaining basic probability assignments of various warning levels after fusion according to an improved D-S evidence theory based on Chebyshev distance, with the output results of the LSTM network as evidence inputs; determining disaster danger levels of the potentially dangerous parts of the project structure using a basic probability assignment-based decision method.