An Adaptive Location-Based Tracking Algorithm Using Wireless Sensor Network for Smart Factory Environment

Abstract

In recent years, how to improve the performance of smart factories and reduce the cost of operation has been the focus of industry attention. This study proposes a new type of location-based service (LBS) to improve the accuracy of location information delivered by self-propelled robots. Traditional localization algorithms based on signal strength cannot produce accurate localization results because of the multipath effect. This study proposes a localization algorithm that combines the Kalman filter (KF) and the adaptive-network-based fuzzy inference system (ANFIS). Specifically, the KF was adopted to eliminate noise during the signal transmission process. Through the learning of the ANFIS, the environment parameter suitable for the target was generated, to overcome the deficiency of traditional localization algorithms that cannot obtain real signal strength. In this study, an experiment was conducted in a real environment to compare the proposed localization algorithm with other commonly used algorithms. The experimental results show that the proposed localization algorithm produces minimal errors and stable localization results.

Artificial Intelligence Techniques for Mobile Station Location Estimation

“…ANFIS is an artificial neural network, however it operates like a fuzzy system under uncertain conditions, thus combining both fuzzy logic and neural network main principles. therefore, it can process nonlinear and complex systems [9]. ANFIS is capable to approximate non-linear functions.…”

A New Visual Image Reconstruction Method of Production Equipment for Industrial Intelligent Terminals

“…Smart factory is a new development stage of intelligent manufacturing, and the networking of production equipment is a key step towards smart factory [1][2][3][4][5]. When building smart factories, due to the limitations in technology, cost, and other factors, most enterprises would apply machine vision technology to workshop environment inspection, equipment monitoring, product quality control, material warehousing, and other aspects to build smart workshops and smart production lines [6][7][8].…”