Moisture content measuring device for predicting deformation of artificial board and anti-deformation method

CN120850472APending Publication Date: 2025-10-28CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY +1
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Patent Information

Application Number
CN202510705253.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-29
Publication Date
2025-10-28

AI Technical Summary

Technical Problem

Existing methods for testing the moisture content of engineered wood products mainly rely on destructive cutting and sampling, which is inefficient and cannot achieve online real-time testing. It is also difficult to accurately predict the deformation trend of the boards, resulting in high production costs and low finished product qualification rates.

Method used

An integrated infrared sensor is used to collect surface moisture content data of the board, and combined with a convolutional neural network model, non-destructive, real-time measurement and deformation prediction are achieved. The relationship between the moisture content and deformation of the board is established through the convolutional neural network prediction model, and anti-deformation measures are provided.

Benefits of technology

It achieves non-destructive, real-time moisture content measurement and deformation prediction, improves detection efficiency and finished product qualification rate, reduces production costs, and reduces the need for rework and adjustment.

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Abstract

The invention discloses a moisture content measuring device for predicting deformation of an artificial board and an anti-deformation method, which are characterized in that related data of moisture content distribution of boards (such as shaving boards, fiberboards and plywood) are acquired through an integrated moisture content measuring device, and the moisture content data are converted into matrix image data through a data preprocessing module; and realizing lossless online deformation detection in combination with the established convolutional neural network prediction model, and triggering a corresponding anti-deformation control strategy according to a prediction result. The moisture content measurement deformation prediction device can solve the problems of slow board detection, resource waste and inaccurate data prediction in the furniture industry.
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