From IoT-based cloud manufacturing approach to intelligent additive manufacturing: industrial Internet of Things—an overview

Haghnegahdar, Lida; Joshi, Sameehan S.; Dahotre, Narendra B.

doi:10.1007/s00170-021-08436-x

Cited by 92 publications

(33 citation statements)

References 81 publications

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“…Send it to the monitoring center through RS3232 serial port. Doctors and nurses on duty can view the physiological parameters of patients at any time through the monitoring management center [ 14 ]. They cannot only find the possible emergencies of critical patients in time, but also provide the best suggestions and means of health treatment for ordinary patients.…”

Section: Intelligent Internet Of Things Medical Health Monitoring Systemmentioning

confidence: 99%

Analysis of Perioperative Nursing Intervention Effect of Cerebrovascular Intervention Patients Based on Intelligent Internet of Things

Wen

Liu

Xiong

2022

BioMed Research International

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The postoperative results of cerebrovascular surgery patients have been successfully used in medical practice using the Internet. The results obtained through data analysis were used in the study. So far, 120 patients who underwent cerebrovascular surgery from February 2018 to December 2018 have been enrolled. The selected class was divided into two groups: 60 psychiatric patients, a control group and an observation group. The former is medical treatment and the latter is postoperative treatment. Results: The results showed that the blood pressure of control group was lower than that of control group, and the incidence of adverse events was lower than that of control group ( P < 0.05 ). Meanwhile, the average hospitalization rate of cerebrovascular disease patients in control group was lower than that in control group ( P < 0.05 ). Conclusion: For patients with cerebrovascular disease, postoperative nursing can reduce the incidence of postoperative complications, reduce the risk of surgery, and improve the effect of surgery. Acute ischemic stroke refers to a kind of clinical syndrome caused by abnormal blood supply in the brain, resulting in ischemia, hypoxic brain tissue necrosis, and focal or comprehensive neurological deficiency. Among them, progressive cerebral infarction accounted for about 20~35%, and most occurred in the early stage of the disease (48~72)h.

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Section: Intelligent Internet Of Things Medical Health Monitoring Systemmentioning

confidence: 99%

Analysis of Perioperative Nursing Intervention Effect of Cerebrovascular Intervention Patients Based on Intelligent Internet of Things

Wen

Liu

Xiong

2022

BioMed Research International

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“…The development of the IIoT enhances the advantages of advanced manufacturing machinery and intelligent control, leading to a more intelligent and interconnected industry [ 12 ]. Along with the new elements and advantages, different challenges and requirements are also brought up by the IIoT [ 13 ].…”

Section: Related Workmentioning

confidence: 99%

A Fault-Tolerant Transmission Scheme in SDN-Based Industrial IoT (IIoT) over Fiber-Wireless Networks

Zhou

Zhao

Chen

et al. 2022

Entropy

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Driven by the emerging mission-critical and data-intensive applications in industrial intelligent manufacturing, the software-defined network (SDN) based fiber-wireless access network (FiWi) is attracting considerable attention thanks to its capability of central control and large bandwidth. However, the heterogeneity of the network leads to new challenges, since the packet loss can be caused either by the poor channel quality of wireless links or network component failures. A novel and adaptive mechanism combining sparse random linear network coding with parallel transmission (SNC-PT) is proposed to achieve the fault-tolerance against high packet loss rate and any network element malfunction. We illustrate the benefits of using the SNC-PT mechanism to improve fault tolerance by characterizing the network performance with respect to the completion time and goodput along with its relationship to channel quality and node failures. We show that significant performance gains can be obtained in comparison with conventional uncoded transmission based on transmission control protocol (TCP). The simulation results show that the SNC-PT mechanism is fault-tolerant, while it can significantly shorten the data transmission completion time to at least 12% of the baseline and increase the goodput by about 10% compared to other coding schemes such as random linear network coding.

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“…The development of the Industrial Internet of Things (IIoT) enables intelligent manufacturing processes and intelligent control of complex products. Cloud-based remote data collection, intelligent machine interconnection and sensor monitoring technologies provide a new direction for the optimization of intelligent manufacturing processes based on machine states [55]. In order to better evaluate the technical condition of machine operation, various possible machine state signals, such as failure information of key components, such as bearings, equipment vibration signals and pressure signals, are obtained through high-precision sensors, IIoT, etc.…”

Section: Research On Reliability Optimization Of Manufacturing Proces...mentioning

confidence: 99%

Construction of an Integrated Framework for Complex Product Design Manufacturing and Service Based on Reliability Data

et al. 2022

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With the application of new-generation information technology in the full life cycle process of a complex product, it is showing the characteristics of multi-source, real-time, heterogeneous, cross-domain transmission. Large data volume and low value density emerge in the process of complex product design manufacturing and services (DMS). This leads to “information islands” and insufficient utilization of cross-domain reliability data in the process of integration of DMS for complex product R&D design data, manufacturing data and operation and maintenance services (O&MS) data. This paper proposes and illustrates a framework of complex product DMS integration based on reliability data, including complex product design optimization based on manufacturing and service reliability data, complex product intelligent manufacturing process optimization based on real-time reliability data and complex product O&MS optimization based on multi-source heterogeneous reliability data. Additionally, it then realizes complex product design reliability and optimization, manufacturing process reliability and optimization and O&MS reliability and intelligent decision optimization based on reliability data. Finally, the DMS integration framework based on reliability-data-driven proposal is corrected through the case of engine MDS integration, which can effectively improve the cross-domain reliability data utilization and overall product reliability of complex products. The proposed framework extends the application of reliability theory in the process of complex product DMS integration and provides a reference for enterprises in the R&D, manufacturing and O&MS of complex products.

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From IoT-based cloud manufacturing approach to intelligent additive manufacturing: industrial Internet of Things—an overview

Cited by 92 publications

References 81 publications

Analysis of Perioperative Nursing Intervention Effect of Cerebrovascular Intervention Patients Based on Intelligent Internet of Things

Analysis of Perioperative Nursing Intervention Effect of Cerebrovascular Intervention Patients Based on Intelligent Internet of Things

A Fault-Tolerant Transmission Scheme in SDN-Based Industrial IoT (IIoT) over Fiber-Wireless Networks

Construction of an Integrated Framework for Complex Product Design Manufacturing and Service Based on Reliability Data

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