Application of Data Fusion Technology in Wood Carbonation Monitoring System

Abstract

In this paper, a single-sensor amplitude-limiting average filtering algorithm was used in combination with the data fusion technology to optimize selection of wood carbonation monitoring data. This was aimed to render the sensor data in the carbonation furnace more reliable. Through data verification, this method can enhance the reliability of the carbonization control system without improving on the original technique. The optimized algorithm reduces mutation monitoring data, and produces carbonated timber with darkened color and deeper carbonization depth.