02095nas a2200277   4500000000100000000000100001008004100002653002500043653002700068653003400095653003200129653003100161653002400192653002500216653001800241653002100259653001600280653002400296653001600320653002200336100001200358245012500370856014700495490000600642520116900648                                       d10aDigital restorations10aEfficiency improvement10aIntangible cultural heritages10aLinear regression modelling10aMultiple linear regression10aPearson coefficient10aQuality optimization10aquestionnaire10aReliability test10aRestoration10aTalent cultivations10aWoodworking10aWoodworking skill1 aYi Chen00aTraditional Woodworking Techniques and Digital Restoration Technology in the Perspective of Intangible Cultural Heritage  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85208287345&doi=10.2478%2famns-2024-3101&partnerID=40&md5=54f861acd1e7e823c5ed7ab1f19dc14a0 v93 aBased on the theoretical knowledge of woodworking skills and digital restoration, this paper designs a questionnaire on traditional woodworking skills and digital restoration technology, conducts a reliability test on the questionnaire, adopts online and offline methods to distribute the questionnaire and obtains research data. Pearson s coefficient and multiple linear regression model were used to explore the relationship between traditional woodworking skills and digital restoration technology from the perspective of non-heritage. The results show that the regression equation of the historical value of woodworking skills = 0.428+0.176∗Efficiency Improvement+0.208∗Quality Optimization+0.235∗Talent Cultivation, and the explanatory ability of Efficiency Improvement, Quality Optimization (X2), and Talent Cultivation (X3) for the historical value of the skills is 76.6\%, and there is no problem of multicollinearity. The mechanism of interaction between traditional woodworking techniques and digital restoration technology is analyzed from the perspective of non-heritage, which is important for the preservation and dissemination of non-heritage.