Behavior prediction method and device based on big data, equipment and storage medium

Abstract

The embodiment of the invention discloses a behavior prediction method and device based on big data, equipment and a storage medium. According to the technical scheme provided by the embodiment of theinvention, the activity information of the prediction target in the set time range is collected based on the big data, the integral score of the prediction target is determined according to the activity information, and the integral score is input into the behavior prediction model; the integral score is analyzed by the behavior prediction model, an early warning integral value corresponding to the prediction target is output, and bubbling sorting is performed on the prediction target according to the early warning integral value of each prediction target so as to determine a display mode ofthe prediction target according to a sorting result; a worker can determine the prediction target which needs to be managed and controlled according to the display mode of the prediction target, and the safety management and control efficiency is improved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of public security, and in particular to a behavior prediction method, device, equipment and storage medium based on big data. Background technique [0002] In order to maintain social security and stability, it is necessary to control people involved in security and stability in real time. The current management and control method for target personnel is generally to directly arrange staff to visit the target personnel one by one, understand the status of each target personnel, and take corresponding control measures. [0003] However, in the current stability maintenance work, due to the large number of target personnel and insufficient staff, stability maintenance resources cannot be allocated accurately and according to needs, resulting in the phenomenon that some target personnel who really need to be controlled are not implemented control from time to time, and the efficienc...

AI Technical Summary

Problems solved by technology

[0003] However, in the current stability maintenance work, due to the large number of target personnel and insufficient staff, the stability maintenance resources cannot be allocated accurately and according to needs, resulting in the phenomenon that some target personnel who really need to be controlled have not implemented control from time to time, and the efficiency of security control is low.

Images