Multi-dimensional data linkage user behavior pattern analysis early warning method

• Main Authors: LIU FENG, WU HAOCHONG, SHAO LEI, NI JIANPING, LI GUOQING, CAI XIAOKANG
• Format: Patent
• Language: Chinese; English
• Published: 29.10.2024
• Subjects: ALARM SYSTEMS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDEDFOR ELSEWHERE; CHECKING-DEVICES; GENERATING RANDOM NUMBERS; ORDER TELEGRAPHS; PHYSICS; REGISTERING OR INDICATING THE WORKING OF MACHINES; SIGNALLING; SIGNALLING OR CALLING SYSTEMS; TIME OR ATTENDANCE REGISTERS; VOTING OR LOTTERY APPARATUS

The invention discloses a multi-dimensional data linkage user behavior pattern analysis early warning method, and belongs to the technical field of user behavior analysis and safety early warning, and the method comprises the steps: S1, building a passing model, an access control model and a monitoring model based on a machine learning algorithm, and deploying the successfully built models in each system of an office; s2, acquiring passing data, access control data and monitoring data in each system of the office space in real time, respectively determining passing behaviors, access behaviors and action behaviors based on the models, determining the subject identity of each behavior subject based on the association relationship of the data, and associating different behaviors of the same subject identity; and S3, performing comprehensive judgment based on different behaviors of the same subject identity, and if a comprehensive judgment result meets a set condition, determining that the behavior is an abnormal