Density prediction method for wood member, and device, storage medium and program product
By measuring the resistance and density of wood using a micro-drill resistance meter and combining this with information on the depth of wood worm infestation, a regression equation was established. This solved the problem of accurate density assessment for wooden components in historical buildings, reducing the need for replacements and protecting the integrity of the buildings.
WO2026123544A1 Publication Date: 2026-06-18SHANGHAI JIANWEI CULTURAL HERITAGE CONSERVATION TECH CO LTD
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- SHANGHAI JIANWEI CULTURAL HERITAGE CONSERVATION TECH CO LTD
- Filing Date
- 2025-04-25
- Publication Date
- 2026-06-18
AI Technical Summary
⚠Technical Problem
Existing technologies make it difficult to accurately assess the density of wooden components in historical buildings, which may lead to over-replacement during maintenance and damage the historical value of the building.
⚗Method used
Using non-destructive testing methods, the internal resistance and density of wood are measured by a micro-drill resistance meter. A regression equation between the resistance and density values is established, and the density of wooden components is predicted by combining information on the depth of borer infestation.
🎯Benefits of technology
It provides a scientifically reliable method for predicting the density of wooden components, reducing unnecessary replacements and protecting the integrity of historical buildings.
✦ Generated by Eureka AI based on patent content.
Abstract
A density prediction method for a wood member, and a device, a storage medium and a program product. The method comprises: determining sample wood; separately performing a resistance test and a density test on the sample wood, so as to obtain a resistance value and a density value of the sample wood, and determining a regression equation between the resistance value and the density value of the sample wood; acquiring a decay depth of a wood member under test; and when the decay depth is less than or equal to an upper limit value of a detection depth of a micro-drill resistance meter, acquiring a resistance value of the wood member under test; and on the basis of the resistance value of the wood member under test, obtaining a density value of the wood member under test by means of the regression equation. Decay information is used to obtain a large amount of test data of sample wood by means of a specific test method, and an accurate empirical formula is obtained, such that a density value of a wood member can be more accurately predicted, thereby providing a scientific and reliable basis for the performance assessment of the wood member, further reducing unnecessary replacement, and preserving the integrity of historic buildings.
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