Industrial IoT: Applications
Made By-
Ajeet Kumar Singh (2020IS02)
Abhay Vishwakarma (2020IS01)
Kushagra (2020IS10)
Computer Science and Engineering Department
Motilal Nehru National Institute of Technology Allahabad
Prayagraj, 211004
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Guidelines and tips
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Community
Ask the community
Ask the community for help and clear up your study doubts
University Rankings
Discover the best universities in your country according to Docsity users
Free resources
Our save-the-student-ebooks!
Download our free guides on studying techniques, anxiety management strategies, and thesis advice from Docsity tutors
Industrial IoT: Applications and Differences with IOT, Slides of Fundamentals of E-Commerce
An overview of Industrial IoT (IIoT), its differences with IoT, and its applications in various industries. The authors discuss the focus on industrial applications, large-scale networks, remote programming, data handling, and long life cycles. They also compare IIoT with the first, second, and third industrial revolutions and discuss its economic impact on operations and support. Additionally, they cover the concept of operations research and industrial automation levels, as well as the use of persistent data and applications in inventory management, quality control, digital industries, and smart packaging.
What you will learn
- What is operations research and how is it used in IIoT?
- What industries does IIoT focus on?
- How does IIoT change operations and support?
- What are some applications of IIoT in industries?
- What is the difference between IIoT and IOT?
Typology: Slides
2020/2021
1 / 14
This page cannot be seen from the preview
Don't miss anything!
Often downloaded together
Related documents
Partial preview of the text
Download Industrial IoT: Applications and Differences with IOT and more Slides Fundamentals of E-Commerce in PDF only on Docsity!
Industrial IoT: Applications
Made By- Ajeet Kumar Singh (2020IS02) Abhay Vishwakarma (2020IS01) Kushagra (2020IS10) Computer Science and Engineering Department Motilal Nehru National Institute of Technology Allahabad Prayagraj, 211004
WHAT IS INDUSTRIAL IOT?
Industrial IoT, short for the Industrial Internet of Things, originally described the Internet of Things (IoT) as it is used across several industries, such as manufacturing, logistics, oil and gas, transportation, aviation and other industrial sectors and the use cases which are typical to these industries. The IIoT encompasses industrial applications, including robotics, medical devices, and software-defined production processes. Although most Industrial IoT projects are about automation, optimization and tactical or strategic goals in a mainly internal context.
DIFFERENCES BETWEEN IIOT AND IOT
S.NO IIOT IOT
1 It focuses on industrial applications such as manufacturing, power plants, oil & gas, etc. It focuses on general applications ranging from wearables to robots & machines. 2 It deals with large scale networks. It deals with small scale networks. 3 It can be programmed remotely i.e., offers remote on-site programming. It offers easy off-site programming. 4 It handles data ranging from medium to high. It handles very high volume of data. 5 It having very long life cycle. It having short product life cycle.
INDUSTRIAL REVOLUTION
1. The 1st Industrial Revolution – Mechanized production; water and steam power. ❑ The Industrial Revolution was the transition to new manufacturing processes in Europe and the United States, in the period from about 1760 to sometime between 1820 and
2. The 2nd Industrial Revolution – Mass production; electric power. ❑ The Second Industrial Revolution, also known as the Technological Revolution, was a phase of rapid standardization and industrialization from the late 19th century into the early 20th. 3. Internet Revolution – Automation; electronics and information technology. ❑ The Internet age began in the 1960s, when computer specialists in Europe began to exchange information from a main computer to a remote terminal. 4. Industrial Internet (IIoT) – Digital integration. ❑ The industrial internet of things refers to interconnected sensors, instruments, and other devices networked together with computers' industrial applications, including manufacturing and energy management.
OPERATIONS AND SUPPORT
Value chain for industrial goods (PWC, 2015) Development and manufacturing
- 15 - 20% of the lifecycle cost. The IIoT will also change operations and support
- 65 - 80% of the lifecycle cost.
OPERATIONS RESEARCH
Operations research is a discipline that deals with the application of advanced analytical methods to help make better decisions. Operational research (OR) encompasses the development and the use of a wide range of problem-solving techniques and methods applied in the pursuit of improved decision-making and efficiency, such as simulation, mathematical optimization, queueing theory and other stochastic-process models. Operational research can be used in mathematical programming game theory e-business, e-supply chain, e-auctions, data mining, cost and price setting.
PERSISTENT DATA
IIoT IT systems make use of OT data. Presently, OT systems consume and use their raw data on-line, but do not accumulate it. IIoT accumulates OT data as Persistent Data.
IIOT APPLICATIONS
Inventory Management- Monitoring of events across the supply chain is now possible through IIoT. Using these systems, the inventory is tracked across the globe on a line-item level and the users are notified of any significant deviations from the plans, or even updates and this optimizes supply and reduces shared costs in the value chain. Quality Control- IoT sensors collect aggregate product data and other third- party syndicated data from various stages of a product cycle. All of these inputs can later be analyzed to identify and correct quality issues, which leads to significant improvement. Digital Industries- IIoT enabled machinery can transmit operational information to the partners like OEMs (original equipment manufacturers) and to field engineers. This will enable operation managers and factory heads to remotely manage the factory units and take advantage of process automation and optimization. This makes streamlining the day-to-day work effortless. Smart Packaging- By using IoT sensors in products and packaging, manufacturers can gain valuable insights into the usage patterns and handling of product from multiple customers.