Multi-sensor information fusion detection system for fire robot through back propagation neural network.

ABSTRACT:

Objective

To reduce the danger for firefighters and ensure the safety of firefighters as much as possible, based on the back propagation neural network (BPNN) the fire sensor multi-sensor information fusion detection system is investigated.

Method

According to previous studies, the information sources and information processing methods for the design of this study are first explained. Then, the basic structure and flowchart of the research object in this study are designed. Based on the structure diagram and flowchart, the BPNN is selected to fuse the feature layers in this study, and the fuzzy control is selected to fuse the decision layers in this study. The multi-sensor information fusion detection system collects information for the sensors first, processes the collected

SUBMITTER: Zhang J 

PROVIDER: S-EPMC7380588 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature