Intelligent unmanned chariot position loss finding method based on fog calculation

Abstract

The invention provides an intelligent unmanned chariot position loss finding method based on fog calculation. A main control unit globally controls the intelligent unmanned chariot according to the information and control algorithms of all intelligent unmanned chariots; meanwhile, each intelligent unmanned chariot can form a formation with the adjacent intelligent unmanned chariot; the position ofthe intelligent unmanned chariot is acquired by means of sensor information of the intelligent unmanned chariot. The intelligent unmanned chariot cannot obtain the position information due to weatheror geographical reasons; the main control unit adopts particle filtering and Bayesian prediction based on fog calculation; the intelligent unmanned chariot group is communicated with other intelligent unmanned chariot around the intelligent unmanned chariot at the lost position to obtain the position information of the intelligent unmanned chariot and the associated information of the intelligentunmanned chariot at the lost position, so that the position information of the intelligent unmanned chariot at the lost position is calculated, the intelligent unmanned chariot group is notified, andcoordinated fighting of the intelligent unmanned chariot group is guaranteed. Fog calculation is used for storing, analyzing, processing and mining data; data forwarding and processing are carried out; the characteristics of nonlinearity and non-Gaussian are mostly presented under the interference of various noises; particle filtering and Bayesian prediction are adopted, motion estimation and tracking are conducted through a particle filtering method, position information of the intelligent unmanned chariot group and intelligent unmanned chariot associated information of the lost position areobtained, and therefore the position information of the intelligent unmanned chariot at the lost position is calculated.

Description

technical field [0001] The present invention relates to the research on the application of intelligent unmanned combat vehicles in industry, national defense, aviation, rescue, etc. The intelligent unmanned combat vehicles adopt a control method based on fog computing, and the main control unit uses the information and control algorithms of all intelligent unmanned combat vehicles. Control each intelligent unmanned combat vehicle from the overall situation, and at the same time, each intelligent unmanned combat vehicle can be formed with its adjacent intelligent unmanned combat vehicles. The position of the intelligent unmanned combat vehicle depends on its own sensor information. Due to weather or Due to geographical reasons, the intelligent unmanned combat vehicle cannot obtain location information. Based on fog computing, the main control unit uses particle filtering and Bayesian prediction to communicate with other intelligent unmanned combat vehicles around the lost positi...

AI Technical Summary

Problems solved by technology

Regardless of the mode of centralized control or distributed control, there is a loss of connection between an unmanned combat vehicle and the main control unit, or a loss of connection with its adjacent unmanned combat vehicle, so that the unmanned combat vehicle will break away Control group; the loss of position information of multiple unmanned combat vehicles will cause the control group to lose control

Images