Establishment of individual traceability by embedding IC chips and identifying images for timber management.

2021 Fiscal Year Final Research Report

• Project/Area Number: 19K04726
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 23020:Architectural environment and building equipment-related
• Research Institution: Shinshu University
• Principal Investigator: Asano Yoshiharu 信州大学, 工学部, 特任教授 (20140551)
• Project Period (FY): 2019-04-01 – 2022-03-31
• Keywords: 木材トレーサビリティ / 木材IoT実装 / 木材個体識別 / RFIDタグ / 深層学習 / 年輪画像識別

Outline of Final Research Achievements

In this research, an IC chip in the HF band was embedded as an RFID tag in a cedar log at sawmill in Ota Lumber Store Co., Ltd. in Kashiwazaki City, and then stored in the IC chip in the processes of transportation, movement, processing, artificial drying, and commercialization of wood. The data was continued without interruption. In addition, it was confirmed by deep learning that individual identification is possible from the annual ring image of the cross section of the wood end of the log. Furthermore, in the database specified as the first argument by the ID of the IC chip, the eccentric distance between the center point of the wood mouth and the center point of the annual ring was recorded for each of the end of the log. These values were compared with the bending deformation amount after artificial drying, and the product yield after sawing was improved by reflecting the results of regression analysis.

Free Research Field

建築と地球環境

Academic Significance and Societal Importance of the Research Achievements

木材トレーサビリティの成果は中小規模森林保有者等が施業集約化により効率的な素材丸太の生産を行う際に，量的な拡大に沿って効率的に付加価値を与え、労働単価を上げることにつながる。IoT技術を包含しているので，IT関係者が働く素地ができ施業労働者の高齢化対策になる。建築施工者側からのスピーディーかつ量的安定性を踏まえた木材の調達が可能となる。トレーサビリティを有する木材を使用した建築物や製品であることは、最終消費者に使用木材に対する安心感を与えることができる。