Artificial intelligent-integrated edge device recommendation system for monitoring, feedback, and control of industrial timber scragg machines using Wireless-Fidelity (Wi-Fi) technology, has control interference for carrying out fully automated monitoring and supervision of scragg machines
2024-11-27
专利权人UNIV LOVELY PROFESSIONAL (ULVP-C)
申请日期2024-11-27
专利号IN202411092620-A
成果简介NOVELTY - The system has a main body provided with a CPU, a camera module, a RS232connector, a temperature sensor, a current sensor, an actuator, a buzzer, a human-machine interface (HMI) capacitive touch display and a power supply. A control interference is used for carrying out fully automated monitoring and supervision of scragg machines in real time. An available custom cloud server is controlled and accessed for better decision making within an organization. The temperature sensor and current sensor are used for encompassing important environmental and electric parameters respectively. USE - Artificial intelligent (AI)-integrated edge device recommendation system for monitoring, feedback, and control of industrial timber scragg machines using Wireless-Fidelity (Wi-Fi)technology. ADVANTAGE - The system has automated control capabilities with real-time monitoring and predictive recommendations for guaranteeing normal operations with less down-time, so that the system can be self-regulated according to the suggestions provided by the artificial intelligence regarding performance improvement, and energy efficiency and fault accountability can be improved.
IPC 分类号B23K-103/00 ; G05B-019/048 ; G05B-023/02 ; G06F-003/044 ; G07F-017/32
国家印度
专业领域材料科学
语种英语
成果类型专利
文献类型科技成果
条目标识符http://119.78.100.226:8889/handle/3KE4DYBR/14356
专题中国科学院新疆生态与地理研究所
作者单位
UNIV LOVELY PROFESSIONAL (ULVP-C)
推荐引用方式
GB/T 7714
KAUR N,PUSHKARNA G,VERMANI S K,et al. Artificial intelligent-integrated edge device recommendation system for monitoring, feedback, and control of industrial timber scragg machines using Wireless-Fidelity (Wi-Fi) technology, has control interference for carrying out fully automated monitoring and supervision of scragg machines. IN202411092620-A[P]. 2024.
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