Metal Detection of Wood Based on Thermal Signal Reconstruction Algorithm

Hong Zhang,Wenhui Chen,Ruikun Wu,Ruizhen Yang

doi:10.1155/2021/7492813

Hong Zhang, Wenhui Chen + Show 2 more

Open Access

https://doi.org/10.1155/2021/7492813

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Abstract

In this paper, eddy current thermography is used to detect metal in wood materials, and thermal signal reconstruction (TSR) algorithm has been proposed to solve the problem of low resolution of metal detection. The basic principle of current nondestructive testing technologies for wood materials has been briefly reviewed, and the advantages and disadvantages have been analyzed. TSR algorithm can significantly enhance the contrast ration between metal and surrounding areas, different quantities of metal can be effective identified, and metal positions can be accurately realized. The experimental results show that the proposed eddy current thermography technology can quickly detect metal in wood materials and improve the efficiency and accuracy. The size and quantity of metal can be intuitively observed through thermal images.

Highlights

With the rapid development of modern industry, China’s wood processing industry has developed rapidly
The wood trading market is an important part of the commodity trading market, which plays an important role in promoting the trading and circulation of wood products and stimulating the local economy [2]
Additional, stress wave systems can only be used for qualitative testing

Summary

Introduction

With the rapid development of modern industry, China’s wood processing industry has developed rapidly. In 2021, the global wood market will reach 41.273 billion US dollars [1]. The wood trading market is an important part of the commodity trading market, which plays an important role in promoting the trading and circulation of wood products and stimulating the local economy [2]. In the process of wood production, there are metal materials in wood, which have a negative impact on the use and commercial value of wood. The existence of metal in wood usually reduces the strength of wood and affects the appearance and processing process of wood. The detection of metal in wood can improve the use safety and maximize the economic benefits

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