{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:45:14Z","timestamp":1760150714430,"version":"build-2065373602"},"reference-count":20,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2023,12,25]],"date-time":"2023-12-25T00:00:00Z","timestamp":1703462400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Forestry and Grassland Administration","award":["GLM [2021]","BJFUSY20220707"],"award-info":[{"award-number":["GLM [2021]","BJFUSY20220707"]}]},{"name":"Beijing Forestry University Excellent Experimenter Item","award":["GLM [2021]","BJFUSY20220707"],"award-info":[{"award-number":["GLM [2021]","BJFUSY20220707"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Future Internet"],"abstract":"<jats:p>To address the low level of intelligence and low utilization of logs in current rotary cutting equipment, this paper proposes a digital twin-based system for optimizing the rotary cutting of logs using a five-dimensional model of digital twins. The system features a log perception platform to capture three-dimensional point cloud data, outlining the logs\u2019 contours. Utilizing the Delaunay3D algorithm, this model performs a three-dimensional reconstruction of the log point cloud, constructing a precise digital twin. Feature information is extracted from the point cloud using the least squares method. Processing parameters, determined through the kinematic model, are verified in rotary cutting simulations via Bool operations. The system\u2019s efficacy has been substantiated through experimental validation, demonstrating its capability to output specific processing schemes for irregular logs and to verify these through simulation. This approach notably improves log recovery rates, decreasing volume error from 12.8% to 2.7% and recovery rate error from 23.5% to 5.7% The results validate the efficacy of the proposed digital twin system in optimizing the rotary cutting process, demonstrating its capability not only to enhance the utilization rate of log resources but also to improve the economic efficiency of the factory, thereby facilitating industrial development.<\/jats:p>","DOI":"10.3390\/fi16010007","type":"journal-article","created":{"date-parts":[[2023,12,25]],"date-time":"2023-12-25T23:00:12Z","timestamp":1703545212000},"page":"7","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Design and Implementation of a Digital Twin System for Log Rotary Cutting Optimization"],"prefix":"10.3390","volume":"16","author":[{"given":"Yadi","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Technology, Beijing Forestry University, Beijing 100083, China"},{"name":"Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing 100083, China"}]},{"given":"Lei","family":"Yan","sequence":"additional","affiliation":[{"name":"School of Technology, Beijing Forestry University, Beijing 100083, China"},{"name":"Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing 100083, China"}]},{"given":"Jian","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Technology, Beijing Forestry University, Beijing 100083, China"},{"name":"Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing 100083, China"}]},{"given":"Ximing","family":"Song","sequence":"additional","affiliation":[{"name":"School of Technology, Beijing Forestry University, Beijing 100083, China"},{"name":"Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing 100083, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,12,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2929","DOI":"10.1002\/ese3.1484","article-title":"Exploring the application of digital twin in the field of micro turbine engine core components","volume":"11","author":"Zhang","year":"2023","journal-title":"Energy Sci. 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