Development on smart data collection and management in workshop based on the Internet of Things

Author(s):  
Sheng Leng ◽  
Cuihua Chao ◽  
Fanglin Zou ◽  
Zhi Nie
Author(s):  
Zhiping Wang ◽  
Xinxin Zheng ◽  
Zhichen Yang

The Internet of Things (IoT) technology is an information technology developed in recent years with the development of electronic sensors, intelligence, network transmission and control technologies. This is the third revolution in the development of information technology. This article aims to study the algorithm of the Internet of Things technology, through the investigation of the hazards of athletes’ sports training, scientifically and rationally use the Internet of Things technology to collect data on safety accidents in athletes’ sports training, thereby reducing the risk of athletes’ sports training and making athletes better. In this article, the methods of literature research, analysis and condensing, questionnaire survey, theory and experiment combination, etc., investigate the safety accident data collection of the Internet of Things technology in athletes’ sports training, and provide certain theories and methods for future in-depth research practice basis. The experimental results in this article show that 82% of athletes who are surveyed under the Internet of Things technology will have partial injuries during training, reducing the risk of safety accidents in athletes’ sports training, and better enabling Chinese athletes to achieve a consistent level of competition and performance through a virtuous cycle of development.


2021 ◽  
pp. 307-327
Author(s):  
Mohammed H. Alsharif ◽  
Anabi Hilary Kelechi ◽  
Imran Khan ◽  
Mahmoud A. Albreem ◽  
Abu Jahid ◽  
...  

2019 ◽  
Vol 95 ◽  
pp. 163-174 ◽  
Author(s):  
Noura Alhakbani ◽  
Mohammad Mehedi Hassan ◽  
Mourad Ykhlef ◽  
Giancarlo Fortino

2020 ◽  
Vol 7 (5) ◽  
pp. 4218-4227 ◽  
Author(s):  
Tian Wang ◽  
Lei Qiu ◽  
Arun Kumar Sangaiah ◽  
Anfeng Liu ◽  
Md Zakirul Alam Bhuiyan ◽  
...  

Author(s):  
Jayashree Kanniappan ◽  
Babu Rajendiran

Internet of Things technology is rapidly gaining popularity, not only in industrial and commercial environments, but also in personal life by means of smart devices at home. The Internet of Things (IoT) spawn new businesses and make buildings, cities and transport smarter. The IoT allows for ubiquitous data collection or tracking, but these useful features are also examples of privacy threats that are already limiting the success of the IoT vision when not implemented correctly. Privacy should be protected in the device, in storage, during communication, and at processing. The privacy of users and their data protection have been identified as one of the important challenges that need to be addressed in the IoT. The chapter presents the IoT technology, the various applications, and privacy issues. Various other issues such as security and performance are also addressed.


Proceedings ◽  
2019 ◽  
Vol 31 (1) ◽  
pp. 85 ◽  
Author(s):  
Aurora Macías ◽  
Elena Navarro ◽  
Pascual González

The Internet of things (IoT) is characterized by billions of heterogeneous, distributed, and intelligent objects—both from the digital and the physical worlds—running applications and services. Objects are connected through heterogeneous platforms providing support for the collection and management of data that need to be understood. Since IoT systems are composed by a variety of objects and services, a key aspect for engineering them is their architecture. The new paradigm called Internet of people (IoP) is not unaware of this need. In IoP, humans play an important role so that design considering aspects as context becomes critical for making the most of these applications. This work presents a context-aware, serverless, microservice-based, and cloud-centric framework for the Internet of things and people (IoT-P) applications that extends the three-layer classic IoT reference architecture. It integrates most of the aspects considered by the architecture of IoT solutions emerging from different perspectives, being also domain independent. This work focuses on the application paradigm of IoT neglected by most proposals. This framework, combined with a previous work, offers a higher separation of concerns (SoC) degree than other proposals, by splitting the application layer into different sublayers or subsystems based on their responsibilities and tracing atomic components to serverless microservices, to facilitate the design, development, and deployment of IoT-P applications. An IoT-P application in the healthcare domain is presented to illustrate how this framework can be put into practice.


IEEE Network ◽  
2016 ◽  
Vol 30 (2) ◽  
pp. 18-25 ◽  
Author(s):  
Dusit Niyato ◽  
Dinh Thai Hoang ◽  
Nguyen Cong Luong ◽  
Ping Wang ◽  
Dong In Kim ◽  
...  

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