云计算
计算机科学
边缘计算
倾斜(摄像机)
GSM演进的增强数据速率
实时计算
工程类
人工智能
操作系统
机械工程
作者
Lin Zhang,Chi Ma,Jialan Liu,Hongquan Gui,Shilong Wang
出处
期刊:Journal of Manufacturing Science and Engineering-transactions of The Asme
[ASME International]
日期:2023-03-15
卷期号:145 (7)
摘要
Abstract The implementation of precision machine tool thermal error compensation in edge-cloud-fog computing architecture has the potential to control the thermal error. However, the challenges faced by the successful implementation are described as follows: The data collection and transfer efficiency are low, and the control accuracy is not deficient. To address these challenges, a hardware design scheme is proposed for the high-performance intelligent gateway node based on the low-power processor architecture of ARM Cortex-A7. Moreover, a new transformer-improved-gate long short-term memory model is proposed, and then it is embedded into edge-cloud-fog computing architecture. With the implementation of gear profile grinding machine thermal error compensation in edge-cloud-fog computing architecture, the maximum values of the tooth profile tilt deviation are reduced from 17.4 μm to 5.4 μm and from 17.9 μm to 5.8 μm for the left and right tooth flanks, respectively. Moreover, the maximum values of the tooth profile deviation are reduced from 18.9 μm to 6.1 μm and from 18.2 μm to 5.8 μm for the left and right tooth flanks, respectively. Compared with the traditional collection mode, the response delay of the designed intelligent gateway in the acquisition mode is reduced by 40%.
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