How Can Industrial Internet of Things (IIoT) Improve Enterprise Productivity?

Author(s):  
Erdinç Koç

This chapter gives brief information about internet of things (IoT) and then detailed knowledge of industrial internet of things (IIoT). Internet of things applications can be seen in different areas, such as smart cars, smart homes, smart cities, agriculture, healthcare, industry, etc. This study focuses on the industrial part. Industrial internet of things (IIoT) means internet of things (IoT) applications for industrial usage. IIoT give a chance to enterprise for tracking supply chains, monitoring production line operations, and real-time consumption of energy, managing stock, and transportation decisions. This study used case study method for developing theory about IIoT's contribution to enterprise productivity. IIoT applications can be adapted to which operations of the enterprise, and how it will contribute to enterprise productivity is explained in this chapter. The chapter discusses the projects that are within the vision of IIoT but not yet implemented and concludes with suggestions for future studies.

2020 ◽  
Vol 55 ◽  
pp. 102615 ◽  
Author(s):  
Hasan Ali Khattak ◽  
Komal Tehreem ◽  
Ahmad Almogren ◽  
Zoobia Ameer ◽  
Ikram Ud Din ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7707
Author(s):  
Fábio Henrique Cabrini ◽  
Filippo Valiante Valiante Filho ◽  
Pedro Rito ◽  
Albérico Barros Barros Filho ◽  
Susana Sargento ◽  
...  

The Industrial Internet of Things (IIoT) is one of the most demanding IoT applications. The insertion of industries in the context of smart cities and other smart environments, allied with new communication technologies such as 5G, brings a new horizon of possibilities and new requirements. These requirements include low latency, the support of a massive quantity of devices and data, and the need to support horizontal communications between devices at the edge level. To make this feasible, it is necessary to establish an IIoT-to-cloud continuum distributing federated brokers across the infrastructure and providing scalability and interoperability. To attend this type of application, we present the Helix Multi-layered IoT platform and its operating modes. We report and discuss its real-world deployment in the Aveiro Tech City Living Lab in Aveiro, Portugal with functional and performance tests. We tested device-to-device communication across edge and core layers and also interconnected the infrastructure with one in São Paulo, Brazil, replicating the use of a global industry. The successful deployment validates the use of a Helix Multi-layered IoT platform as a suitable backend platform for IIoT applications capable of establishing the IIoT-to-cloud continuum. It also helps for the deployment of other applications in such a domain.


2021 ◽  
Vol 50 ◽  
pp. 101439
Author(s):  
Jia Ding ◽  
Maolin Wang ◽  
Xiong Zeng ◽  
Wenjie Qu ◽  
Vassilios S. Vassiliadis

Author(s):  
Naercio Magaia ◽  
Ramon Fonseca ◽  
Khan Muhammad ◽  
Afonso H. Fontes N. Segundo ◽  
Aloisio V. Lira Neto ◽  
...  

2021 ◽  
pp. 204388692098616
Author(s):  
Dipankar Chakrabarti ◽  
Soumya Sarkar ◽  
Arindam Mukherjee

Owners of start-ups in the high-tech field face multiple challenges while scaling-up. The major challenge is to form a proper strategy that guides them to move from building products for point solutions to more industry-focused solutions, retaining skilled resources, efficient workforce management, and improving market reach. This case study is on Distronix, a start-up in the Industrial Internet of Things that could see steady revenue within 3 years of its operations. Distronix wanted to reach the next orbit fast. Distronix wanted to change the organizational blueprint with a proper strategy to scale-up. The young entrepreneurs owning Distronix brainstormed with their employees and the industry experts to strategize the next phase of growth. Market reach and coping with the changing demand of customers on Industrial Internet of Things were the two most important aspects of their strategy. After discussing with stakeholders and the mentors, the owners focused on alliances to increase their delivery and market reach capabilities. They could establish strong alliances, even with larger companies, with proper planning and sustained quality delivery. From the inception of Distronix, owners established alliance, but those were ad hoc and not as per the holistic plan, which provided them a better focus and guidance on alliancing. The alliance strategy seems successful from its revenue growth but needs regular review as the technology stack is getting refreshed fast. Regular monitoring of performance is also critical. The case study shows the importance of a well-thought and well-rounded alliance strategy for a start-up to scale-up confidently.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Tianyi Zheng ◽  
Bao Peng ◽  
Guofu Zhou

Industrial Internet of Things is the core field of smart city. And intelligent detection is an important application field of industrial Internet of Things. Demand of the industrial is particularly urgent. In particular, the defect detection of mobile phone shells (MPS) has always been a common problem for famous mobile phone companies. A compression-free defect detection method (CFDDM) for MPS based on machine vision is proposed in this paper. Firstly, affine transformation is utilized to solve the angle deviation of MPS in different images. Then, edge detection, binarization, and open operation are combined to highlight the edge region based on the results of angle adjustment. It is convenient for region of interest (ROI) extraction and clipping. Finally, the method of gray histogram contrasting is utilized for defect detection according to the results of ROI clipping. And the detection results are obtained. In this paper, MPS data set is utilized for many tests. The results show that the proposed method can effectively detect whether there are defects in MPS data set without image compression. The recognition accuracy is 100%. The recognition time of a single image is about 4.56 s, which is better than other defect detection methods.


Author(s):  
Sam Goundar ◽  
Akashdeep Bhardwaj ◽  
Safiya Shameeza Nur ◽  
Shonal S. Kumar ◽  
Rajneet Harish

This chapter focused on the importance and influence of industrial internet of things (IIoT) and the way industries operate around the world and the value added for society by the internet-connected technologies. Industry 4.0 and internet of things (IoT)-enabled systems where communication between products, systems, and machinery are used to improve manufacturing efficiency. Human operators' intervention and interaction is significantly reduced by connecting machines and creating intelligent networks along the entire value chain that can communicate and control each other autonomously. The difference between IoT and IIoT is that where consumer IoT often focuses on convenience for individual consumers, industrial IoT is strongly focused on improving the efficiency, safety, and productivity of operations with a focus on return on investment. The possibilities with IIoT is unlimited, for example, smarter and more efficient factories, greener energy generation, self-regulating buildings that optimize energy consumption, smart cities that can adjust traffic patterns to respond to congestion.


2019 ◽  
Vol 252 ◽  
pp. 09003
Author(s):  
Jakub Pizoń ◽  
Grzegorz Kłosowski ◽  
Jerzy Lipski

The following paper presents a key role and potential of Industrial Internet of Things (IIoT) in industrial applications as a solution for monitoring and maintaining manufacturing assets. IIoT is particularly important due to progressing computerisation of hardware resources leading to development of a virtualised model of autonomous real-time production management. Adequately article presents case study of IIoT use in production environment – both methodical and analytic approach is presented.


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