Academia.eduAcademia.edu

Outline

Title
Abstract
Figures
Design, Manufacture and Testing of Tools
References
All Topics
Engineering
Aviation

Dealing with applications in Industrial IoT

Profile image of Radhika SreedharanRadhika Sreedharan

International Conference on Information Science and Technology Innovation (ICoSTEC)

https://doi.org/10.35842/ICOSTEC.V2I1.49
visibility

…

description

5 pages

link

1 file

Abstract

Industrial Internet of Things (IIoT) also known as Industry 4.0, consists of industries that utilize IoTs to facilitate logistics, manufacturing, transportation, oil and gas, energy/utilities, mining and metals, aviation, and others. Though a lot of companies have proceeded into a lot of areas utilizing IIoT, its applicability in a lot of is still not explored and remains unpredictable. Its evolution is similar to that of the Internet in the early 90s, where it initially appeared and slowly gained momentum in the 20th century to almost becoming and indispensable aspect of human life in the 21st century. Robotics and control are already a part of most of the manufacturing companies, however, when it comes to real-time applications in manufacturing, IIoT may not come to the rescue. Another aspect that separates the internet and IIoT is that the internet is based on the bet effort delivery model which is acceptable for e-commerce and man-machine interactions. However, failures in an II...

Figures (9)
Fig. 2 Testing of Featured Weighing Tools Testing of featured weighing tools image capture of the soles of the feet is carried out on grade 1 elementary school children with an age range of 5-9 years. Subjects are directed to line up and then climb the scales one by | to take an image of the soles of their feet. It can be seen in fig. 2 that children process the subject climbing the scales to take an image of the soles of the feet. The process of capturing images of the soles of the feet takes a short time, which is less than 1 minute. This process also uses a webcam as a tool to capture images of the soles of the feet.
Fig. 2 Testing of Featured Weighing Tools Testing of featured weighing tools image capture of the soles of the feet is carried out on grade 1 elementary school children with an age range of 5-9 years. Subjects are directed to line up and then climb the scales one by | to take an image of the soles of their feet. It can be seen in fig. 2 that children process the subject climbing the scales to take an image of the soles of the feet. The process of capturing images of the soles of the feet takes a short time, which is less than 1 minute. This process also uses a webcam as a tool to capture images of the soles of the feet.
The stage in making feature scales is to make a tool design. First, the design of the featured scale tool can be seen in fig. 1 material used is a weight scale with a maximum capacity of 150 kg and an Aukey PC-LMIE webcam with a maximum resolution of 192 x 1080 pixels. The scale's base uses teak wood and iron poles 25 cm long. The material that has been combined is then tested before taking it on the subject. Testing the tool was tested on grade | elementary school children, and the results of the test got a good and exact image of the soles of the feet and wet footprint results.
The stage in making feature scales is to make a tool design. First, the design of the featured scale tool can be seen in fig. 1 material used is a weight scale with a maximum capacity of 150 kg and an Aukey PC-LMIE webcam with a maximum resolution of 192 x 1080 pixels. The scale's base uses teak wood and iron poles 25 cm long. The material that has been combined is then tested before taking it on the subject. Testing the tool was tested on grade | elementary school children, and the results of the test got a good and exact image of the soles of the feet and wet footprint results.
Ihe image processing stage goes through several stages. Ihe first is Thresholding, where the process, based on the difference in the degree of imagery, separates the object from the background in an image based on the difference in the level of brightness or the light darkness and changes the colour of the image to black and white. The second stage is Segmentation. This program separates the object (foreground) from the background. The output of the image segmentation results is binary, namely, 1 when white (object) and 0 when black background). The third stage of Estimation of Pixels in Reference is a program to identify each existing pixel into a value. The fourth stage of Scale Conversion is to confer between two different sizes, starting the conference from pixels 0 centimetres to facilitate processing for Clarke's angel method measurement. The formula used to determine the degree angle of the sole is in equation (1). The fifth stage is plotting points o determine the point of the binary number line that will be carried out by drawing the foot edge line, leg length, and foot width to perform Clarke's Angel angle calculations. The last stage is Transpose, turning rows into columns to simplify the image processing process. which can be seen on the fig. 3 Is an image of the process from image processing until the results of Clarke's Angel method lines and the degree of foot arch are obtained. Fig. 4 shows stages in image processing. Fig. 3 The Result of the Image of the Soles of the Feet With the Method of Clare's Angel
Ihe image processing stage goes through several stages. Ihe first is Thresholding, where the process, based on the difference in the degree of imagery, separates the object from the background in an image based on the difference in the level of brightness or the light darkness and changes the colour of the image to black and white. The second stage is Segmentation. This program separates the object (foreground) from the background. The output of the image segmentation results is binary, namely, 1 when white (object) and 0 when black background). The third stage of Estimation of Pixels in Reference is a program to identify each existing pixel into a value. The fourth stage of Scale Conversion is to confer between two different sizes, starting the conference from pixels 0 centimetres to facilitate processing for Clarke's angel method measurement. The formula used to determine the degree angle of the sole is in equation (1). The fifth stage is plotting points o determine the point of the binary number line that will be carried out by drawing the foot edge line, leg length, and foot width to perform Clarke's Angel angle calculations. The last stage is Transpose, turning rows into columns to simplify the image processing process. which can be seen on the fig. 3 Is an image of the process from image processing until the results of Clarke's Angel method lines and the degree of foot arch are obtained. Fig. 4 shows stages in image processing. Fig. 3 The Result of the Image of the Soles of the Feet With the Method of Clare's Angel
Fig. 4 Flowchat Stages of Image Processing
Fig. 4 Flowchat Stages of Image Processing
*sec for second Table I explains the reference time to determine the assessment of the static balance of the subject.
*sec for second Table I explains the reference time to determine the assessment of the static balance of the subject.
ASA Aa WET FOOTPRINT TEST CALCULATION RESULTS a Table III shows the results of the data on the wet footprint test. The results on the wet footprint test show the same number in children with normal leg shapes, flatfoot and high arch. The difference is only in the degree of the soles of his feet. This is because the size of the sole on the wet footprint test produces a value that is greater than the size of the sole from the image on t he footprint scale.
ASA Aa WET FOOTPRINT TEST CALCULATION RESULTS a Table III shows the results of the data on the wet footprint test. The results on the wet footprint test show the same number in children with normal leg shapes, flatfoot and high arch. The difference is only in the degree of the soles of his feet. This is because the size of the sole on the wet footprint test produces a value that is greater than the size of the sole from the image on t he footprint scale.
4faea i FEATURED SCALE MEASUREMENT RESULTS Of the 30 respondents, 10 children had normal foot (33.33%), 20 children had flatfoot (66.67%), and none of the students had a cavus arch foot sole shape, as written in Table II. This result was obtained from the image of the foot captured on the footprint scale and the image data processed in MATLAB.
4faea i FEATURED SCALE MEASUREMENT RESULTS Of the 30 respondents, 10 children had normal foot (33.33%), 20 children had flatfoot (66.67%), and none of the students had a cavus arch foot sole shape, as written in Table II. This result was obtained from the image of the foot captured on the footprint scale and the image data processed in MATLAB.
This process is the final stage of the study. The classification of the soles of the feet is the process of determining the shape of the soles of the feet of the subjects, including the normal form of an arch, high arch or cavus arch. Determination of this classification by looking at the results of image processing which are compared with the results of the wet footprint test and strengthened by the results of the stork stand test.
This process is the final stage of the study. The classification of the soles of the feet is the process of determining the shape of the soles of the feet of the subjects, including the normal form of an arch, high arch or cavus arch. Determination of this classification by looking at the results of image processing which are compared with the results of the wet footprint test and strengthened by the results of the stork stand test.
ae RS A STORK STAND TEST MEASUREMENT RESULTS
ae RS A STORK STAND TEST MEASUREMENT RESULTS

Related papers

An Overview of Trends and Developments of Internet of Things Applied to Industrial Systems
Amro M. Farid

IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, 2018

Advances in the domain of electronics and information and communication technology provide a tremendous set of new possibilities and services. The development of the Internet of Things concept where different sensors, actuators, and control devices are connected together and where functions are provided to the Internet, is on the way to be used also in various industrial domains. A new age of intelligence in such industrial systems is being formed. Hence, the aim of this work is to provide an overview about ongoing research and technology developments related to the digitalization of industrial systems applying the IoT approach. This review covers the domain of manufacturing, as an example for discrete systems, and the power and energy domain, as an example for continuous systems. Important domain standards and future research directions are identified and discussed also.

View PDFchevron_right
IRJET- Industrial Automation Integrated with Internet of Things -A Technical Review
IRJET Journal

IRJET, 2021

The extreme advancement of the web into an organization of interconnected articles that establish a keen climate is described by the term Internet of Things (IoT). Industrial automation becomes mandatory in the modern-day to meet the different global challenges like increase in productivity, enhanced product quality, compatible prices, foolproof product delivery in time, etc. Industry 4.0 is used correspondingly with the fourth mechanical disturbance and addresses one more stage in the affiliation and control of the cutting-edge worth chain. Computerized genuine systems structure the reason of Industry 4.0. The Internet has an enormous change the corporate industry and individual lives and kept doing as such. IoT turns into an establishment for interfacing things, sensors, actuators, and other keen innovations. Our aim is to examine the effect of arising Internet of Things (IoT) in current assembling. To meet the above-mentioned requirement different new technologies emerging into industries such as service capsulation and visualization access of manufacturing resources for cloud manufacturing. These technologies can be made possible with proper utilization of the sensor and its configuration, present time manufacturing information, and service encapsulation. In this article, a detailed review of Industrial Automation based on IoT technology such as factory 4.0 implementation and the existing industrial scenario is discussed in detail. Here, the consequence of which the innovation makes everything rich, easy, comfortable with high security.

View PDFchevron_right
Industrial Internet of Things in the production environment of a Shipyard 4.0
Miguel Vilar-Montesinos

The International Journal of Advanced Manufacturing Technology, 2020

Nowadays, we are already involved in the Fourth Industrial Revolution, known as Industry 4.0. Inside this paradigm, IoT is one of fundamental technologies that allows the integration of physical and virtual systems. The important role of the IoT is based on its potential to offer different solutions for the operational of existing industrial system, in order to transform them in digital environments. Following this idea, a proof of concept is presented, applying IIoT (Industrial Internet of Things) in a shipyard. This technology is used as a key enabler to achieved a connected and advanced manufacturing with the aim of improve efficiency in a specific workshop inside the shipyard. This first approach to the transformation of conventional shipyard in a smart factory comprises two parts: the communication between the information systems and the connection with physical devices. The goal is to solve the challenges that arise with the implementation of IIoT and to provide a useful decision tool to operators and managers of the workshop.

View PDFchevron_right
IRJET- LITERATURE SURVEY ON SMART MANUFACTURING IN INDUSTRIAL INTERNET OF THINGS (IIOT
IRJET Journal

IRJET, 2021

Smart Manufacturing (SM) uses the blending of next generation Operations Technology (OT) and knowledge Technology (IT) to know significant untapped market opportunities. A fourth technological revolution is propagated in global manufacturing. It supported the introduction of Internet of Things and Servitization concepts into manufacturing companies, leading to vertically and horizontally integrated production systems. Smart manufacturing is taken under consideration as a replacement paradigm that makes work smarter and more connected, bringing speed and adaptableness. The target of this is gaining more and more attention fr systems within the manufacturing sector.

View PDFchevron_right
Bosch IoT Suite: Exploiting the Potential of Smart Connected Products
Stefan Ferber

Connected Business, 2021

View PDFchevron_right
A Framework for Industrial Internet of Things
Alta Van der Merwe

Responsible Design, Implementation and Use of Information and Communication Technology, 2020

The Industrial Internet of Things (IIoT) is a new concept that has the potential to add value to any industrial organisation that wants to embark on the implementation thereof. Due to this newness of IoT in industrial operations, an increase in cost and maturity in terms of data handling, together with only a few implementations. There was a gap in available practical IIoT frameworks that could aid interested parties in the understanding of the constructs of IIoT and the practical implications of implementation. Within this study, we propose an Industrial Internet of Things framework intended to aid academic, technical and management persons in understanding the different considerations of the Industrial Internet of Things. This framework could also apply as a basis for implementation considerations.

View PDFchevron_right
A Review on Internet of Things in Manufacturing Industries
MANTECH PUBLICATIONS

mantech publications, 2023

In today's rapidly changing manufacturing industry scenario, implementing the Internet of Things is essential for a manufacturing unit to respond effectively and work efficiently. Internet of Things is a system of sensing, processing and interacting among devices to transfer data over a network without any human to human or human to machine interaction anytime and from anywhere. Internet of Things can collect data in real time, enhancing the productivity of the manufacturing industries. Nowadays, industries, organisations and enterprises are urging to equip fourth industrial revolution Industry 4.0. It helps in automation and data exchange in manufacturing technologies and processes, including the Internet of Things, Cyber-Physical Systems and Industrial Internet of Things. Nonetheless, some challenges still need to be investigated to implement IoT in industries and enterprises.

View PDFchevron_right
Internet of Things in Automated Production
Cesar da Costa

European Journal of Engineering Research and Science, 2017

Industry 4.0 is being presented as the fourth industrial revolution in which intelligent machines, advanced sensors, and smart logistic networks and suppliers will be connected to the internet of things. Such an intelligent network would create a cyber-physical system that scan store all of the supply chain data in the cloud and allow access to these data through different devices connected to the internet. Thus, the factory of the future could be established. This project proposes the creation of a manufacturing cell at the shop floor level based on the concepts of Industry 4.0. The effects on production of industry 4.0 emerging with this mind is very important. Therefore, the impacts in production of industry 4.0 are examined in this paper.

View PDFchevron_right
Key role and potential of Industrial Internet of Things (IIoT) in modern production monitoring applications
Jakub Pizoń

MATEC Web of Conferences

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.

View PDFchevron_right
Industrial Internet of Things Common Concepts, Prospects and Software Requirements
Joseph Kalunga

2020

The manufacturing and many other critical Infrastructures industries are posed to introduce the initiative popularly known as Industry 4.0 or industrial Internet of things. In developed nations, Industry Internet of thing technologies have already been implemented in varieties of industries like health care, logistics, avionics, waste management, military, smart cities and many other fields. So far, the initiative has provided various benefits that include improved efficiency, productivity and cost reduction. However, the prospective transformation of Internet of things Technology would see some change in the way companies approach manufacturing and other industries in terms of in-house software development, security design and implementation. Considering the fact that Industry 4.0 belong to the family of critical infrastructures, ICT application development, security design and implementation will always be complex, costly, large in scope, involves heterogonous network of things th...

View PDFchevron_right

References (12)

  1. A. Antara, I. N. Adiputra, and I. W. Sugiritama, "The Correlation Between Flat Foot With Static and Dynamic Balance in Elementary School Children 4 Tonja Denpasar City," Maj. Ilm. Fisioter. Indones., vol. 5, no. 3, pp. 23-26, 2017.
  2. D. B. W. Vico Metriwan Perluozon Hutapea, "Penanganan Penderita Kaki Rata Menggunakan Sepatu Orthotic (Dengan Sisipan Sol Sepatu di Daerah Arch)," J. Tek. Mesin S-1, 2017, [Online]. Available: http://ejournal-s1.undip.ac.id/index.php/jtm
  3. K. A. et al Antara, "HUBUNGAN FLAT FOOT DENGAN KESEIMBANGAN STATIS DAN DINAMIS PADA ANAK SEKOLAH DASAR NEGERI 4 TONJA KOTA DENPASAR," Maj. Ilm. Fisioter. Indones., vol. 6 no.1, no. 23-26, 2018.
  4. G. S. Octavius, T. Sugiarto, F. H. Agung, and R. Natasha, "Flat foot at 5 to 6-year-old and history of delayed walking," Paediatr. Indones. Indones., vol. 60, no. 6, pp. 321-327, 2020, doi: 10.14238/pi60.6.2020.321-7.
  5. J. C. Zuil-Escobar, C. B. Martínez-Cepa, J. A. Martín-Urrialde, and A. Gómez-Conesa, "Medial Longitudinal Arch: Accuracy, Reliability, and Correlation Between Navicular Drop Test and Footprint Parameters," J. Manipulative Physiol. Ther., vol. 41, no. 8, pp. 672-679, 2018, doi: 10.1016/j.jmpt.2018.04.001.
  6. Y. Latifah, A. F. Naufal, D. Nafi'ah, and R. W. Astari, "Hubungan Antara Postur Flat Foot Dengan Keseimbangan Statis Pada Anak Usia 12 Tahun," FISIO MU Physiother. Evidences, vol. 2, no. 1, pp. 1-6, 2021, doi: 10.23917/fisiomu.v2i1.10039.
  7. A. F. Naufal, T. Fatmarizka, U. B. Rahayu, D. Nafi'ah, Y. Latifah, and R. W. Astari, "Relationship between flat foot and lower limb muscle activation among 12 years old children," J. Med. Chem. Sci., vol. 4, no. 4, pp. 381-387, 2021, doi: 10.26655/JMCHEMSCI.2021.4.9.
  8. I. Setiawan, W. Dewanta, H. A. Nugroho, and H. Supriyono, "Pengolah Citra Dengan Metode Thresholding Dengan Matlab R2014A," J. Media Infotama, vol. 15, no. 2, 2019, doi: 10.37676/jmi.v15i2.868.
  9. S. Minaee, Y. Boykov, F. Porikli, A. Plaza, N. Kehtarnavaz, and D. Terzopoulos, "Image Segmentation Using Deep Learning: A Survey," IEEE Trans. Pattern Anal. Mach. Intell., vol. 44, no. 7, pp. 3523-3542, 2022, doi: 10.1109/TPAMI.2021.3059968.
  10. V. A. Mien, W. Mayasari, and M. R. Chaidir, "Gambaran Faktor Risiko Flat Foot pada Anak Umur Enam sampai Sepuluh Tahun di Kecamatan Sukajadi," J. Sist. Kesehat., vol. 3, no. 2, pp. 97-102, 2017, doi: 10.24198/jsk.v3i2.15010.
  11. D. B. Wibowo, "Pengembangan Pemindai Dokumen Menjadi Pemindai Telapak Kaki Untuk Identifikasi Flat Foot," Jurnal Rekayasa Mesin, vol. 14, no. 3. p. 104, 2019. doi: 10.32497/jrm.v14i3.1639.
  12. J. Rodolfo Maestre-Rendon et al., "Low computational-cost footprint deformities diagnosis sensor through angles, dimensions analysis and image processing techniques," Sensors (Switzerland), vol. 17, no. 11, 2017, doi: 10.3390/s17112700.

Related papers

Internet of Things (IoT) in Industry: Contemporary Application Domains, Innovative Technologies and Intelligent Manufacturing
Editor Ijasre

Internet of Things (IoT) is a rapidly growing innovative technology with various applications, functions and services in everyday life and in a wide range of markets and industries. It can be defined as a global dynamic information network that involves interconnected devices and objects and aims at the mutual interconnection and interaction among people, services and devices at any time and regardless of location. IoT utilizes numerous innovative and advanced technologies in order to integrate intelligence into devices so that they can process information and data and gain knowledge. As an outcome, real-time, autonomous and human like intelligent decision-making systems that reduce the need for human involvement and intervention, are developed. Using this advanced network of interconnected devices in addition to its novel technologies, applications and services cannot only enhance life quality, but can also result in personal, professional and economic benefits. Hence, it has rapidly attracted the interest of organizations, industries and enterprises and has been regarded as an innovation enabler and explorer of new initiatives in industrial domains. Nonetheless, there are still challenges and open research issues that need to be investigated and addressed in order for IoT to be adopted and fully utilized by industries and enterprises. This study scrutinizes IoT from an industrial perspective and presents some of its numerous application domains (i.e. transportation and logistics, healthcare and sanitary, smart cities, smart environments and industry). It describes the context of Industry 4.0 and analyzes its involved innovative key technologies (i.e. cloud computing, Big Data (BD), Industrial Internet of Things (IIoT) and Cyber-Physical Systems (CPSs) along with their benefits. Moreover, it explores the concept of intelligent manufacturing and looks into the main IoT challenges and open research issues.

View PDFchevron_right
AN INDUSTRIAL IOT IN ENGINEERING AND MANUFACTURING INDUSTRIES -BENEFITS AND CHALLENGES
TJPRC Publication

Transstella rJournals, 2019

Industry 4.0 is the promising area of the industrial revolution and fast-growing network of digitally connected smart devices, equipment/machines and physical objects. It denotes the use of Industrial Internet of Things (IIoT) in manufacturing. Industrialists and Manufacturers are already taking part in this transformation by integrating both new and existing Information and Operational Technologies (IT & OT). IIoT is fairly a new concept for industries, and it is presenting a huge opportunity in helping enterprises to operate more safely and productively while improving efficiency and reducing costs. The study was conducted to explore the benefits of IIoT in engineering and manufacturing industries, to analyse the various challenges on IIoT and to identify the ways to overcome the challenges of IIoT. This paper analyses how IIoT strategy facilitates to increase customer value, creates different opportunities for competitive advantage, and transform the business process to increase profit in industries. Secondary data was collected from web sources and journals to identify the benefits and challenges on the implementation of IIoT. Interviews with industry experts were conducted during October 2018 to obtain their opinion towards employment of IoT and IIoT technology in the engineering industries. As this paper concentrates only on bringing out the possibilities of implementing IIoT in engineering and manufacturing industries, this study is basically done as an exploratory research.

View PDFchevron_right
Introduction to Industrial Internet of Things and Industry 4.0
chandana roy

2021

View PDFchevron_right
Industrial Internet of Things
Sam Goundar

Springer Series in Wireless Technology, 2017

The application of the Internet of Things to manufacturing is the driving force of thenew industrial revolution (Industrie 4.0). In fact, most activities in the manufacturingindustry can benefit from the data collected in the context of the industrial process. TheIndustrial Internet of Things (IIoT), whose pillars are the usage of IP communicationbetween the devices and making the devices accessible through the Internet, can maximize the benefits of the information by the integration between multiple data sources,and by the ubiquitous fruition of the information itself.It is common belief that IIoT will transform companies and countries, opening up anew era of economic growth and competitiveness, since it has great potential for improving quality control, sustainable and green practices, supply chain traceability, andmaintenance of the user in the loop. Anyway, a number of challenges arise in this context, related for example to adaptability and scalability, real-time communication andQoS, and system deployment and management. A communication middleware can support the IIoT vision by coping with these issues.This talk introduces the IIoT, discusses its benefits and challenges, and presentscommunication middleware developed in different sub-areas of IIoT (service-orientedindustrial informatics [1], smart grids [2], maintenance of industrial machines [3]) thatenable the IIoT vision.

View PDFchevron_right
Possibilities of using Industrial Internet of Things (IIOT) in industrial communication
Peter Juhas

2020

Future of modern communication technologies of smart modern production systems is moving to wireless form of data transfer between devices. Thanks to use of smart devices that communicate within the network, we are talking about of interconnection of separate devices – Internet of Things (IoT). In connection with the implementation of standards Industry 4.0 in the manufacturing process together with IoT implementation into production process a new term is created – Industrial Internet of Things (IIoT). However, the implementation of this form of wireless communication brings some problems, mainly in field of safety and stability of data transfers. This paper provides a brief overview of the current state of the use of IIOT in industrial communication and production management and describes relationships to concepts such as cyber-physical systems and Industry 4.0. Part of the article is a proposal of communication scheme suitable for the implementation on model of modular production ...

View PDFchevron_right

Related topics

  • Aviation
  • Industrial Internet
    • 580 California St., Suite 400
    San Francisco, CA, 94104
    © 2025 Academia. All rights reserved