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Introduction To Industry 4.0 And Industrial Internet Of Things Assignment 3 Answers NPTEL July 2022
1. What is the difference between a Cyber-Physical System (CPS) and an embedded system?
a. CPS is confined to one system, while embedded system is a networked set of multiple CPSS
b. Embedded system is confined to one system, while CPS is a networked set of multiple embedded systems
c. Both a and b
d. None of the above
Answer:- b
2. “Cyber-Physical systems are equipped with control systems with feedback loop”. Is the statement true or false?
a. True
b. False
Answer:- a
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3. What is cognition in CPS architecture for IloT?
a. Conversion of machine data to meaningful information
b. Supervisory control to detemine actions to be taken by the machines
c. Both a and b
d. Proper presentation of information to users for generating thorough knowledge of the system
Answer:- d
4. ‘Sensors with small memory and standardized physical connection to enable the communication with processor and data network”. Select the option which refers to this statement.
a. Smart sensor
b. DHT sensor
c. LED sensor
d. ESP32
Answer:- a
5. Which of the folloWing statements is/are true about Collaboration platform?
a. Category of business software which combines organizational networking capacities to operations.
b. It does not include knowledge management into business operation to encourage
c. Collaboration platform restricts employees to share information
d. All of the above
Answer:- d
6. Which of the folloWing statements is/are true about Collaboration platform?
a. Category of business software which combines organizational networking capacities to operations.
b. It does not include knowledge management into business operation to encourage
c. Collaboration platform restricts employees to share information
d. All of the above
Answer:- a
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7. How many key parts are there which enable collaborative productivity in Industry 4.0?
a. 5
b. 4
C. 7
d. 9
Answer:- b
8. In context of Industry 4.0, what does PLM stand for?
a. Product Life Management
b. Product Lifecycle Management
C. Both (a) and (b)
d. None of the above
Answer:- b
9. How many phases are there in a product lifecycle?
a. 6
b. 9
C. 5
d. 3
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10. Which of the following is/are features of smart factory?
a. Connected Environment
b. Transparency of process status
c. Both a and b
d. None of the above
Answer:- c
11. Which of the following is not a type of augmented reality?
a. Marker-based AR
b. Markerless AR
C. Superimposition-based AR
d. Timer-based AR
Answer:- d
12. Which of the following is not a type of augmented reality?
a. Marker-based AR
b. Markerless AR
C. Superimposition-based AR
d. Timer-based AR
Answer:- a
13. “Semi-immersive simulations provide a partial or fully immersive experience of the user’s senses.” True or False?
a. True
b. False
Answer:- b
14. What is velocity in Big Data?
a. Speed of generation of data
b. Categories of data
c. Data with constantly changing meaning
d. All of the above
Answer:- a
15. Select the types of analytics for big data?
a. Descriptive
b. Prescriptive
C. Predictive
d. All of the above
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About Introduction To Industry 4.0 And Industrial Internet Of Things
Industry 4.0 concerns the transformation of industrial processes through the integration of modern technologies such as sensors, communication, and computational processing. Technologies such as Cyber Physical Systems (CPS), Internet of Things (IoT), Cloud Computing, Machine Learning, and Data Analytics are considered to be the different drivers necessary for the transformation. Industrial Internet of Things (IIoT) is an application of IoT in industries to modify the various existing industrial systems. IIoT links the automation system with enterprise, planning and product lifecycle.This course has been organized into the following modules:
INTENDED AUDIENCE : CSE, IT, ECE, EE, Instrumentation Engg, Industrial Engineering, Industry Professionals
PRE-REQUISITES : Basic knowledge of computer and internet
INDUSTRY SUPPORT : All Industrial Sectors
COURSE LAYOUT
Week 1 : Introduction: Sensing & actuation, Communication-Part I, Part II, Networking-Part I, Part II
Week 2 : Industry 4.0: Globalization and Emerging Issues, The Fourth Revolution, LEAN Production Systems, Smart and Connected Business Perspective, Smart Factories
Week 3 : Industry 4.0: Cyber Physical Systems and Next Generation Sensors, Collaborative Platform and Product Lifecycle Management, Augmented Reality and Virtual Reality, Artifical Intelligence, Big Data and Advanced Analysis
Week 4 : Cybersecurity in Industry 4.0, Basics of Industrial IoT: Industrial Processes-Part I, Part II, Industrial Sensing & Actuation, Industrial Internet Systems.
Week 5 : IIoT-Introduction, Industrial IoT: Business Model and Referece Architerture: IIoT-Business Models-Part I, Part II, IIoT Reference Architecture-Part I, Part II.
Week 6 : Industrial IoT- Layers: IIoT Sensing-Part I, Part II, IIoT Processing-Part I, Part II, IIoT Communication-Part I.
Week 7 : Industrial IoT- Layers: IIoT Communication-Part II, Part III, IIoT Networking-Part I, Part II, Part III.
Week 8 : Industrial IoT: Big Data Analytics and Software Defined Networks: IIoT Analytics – Introduction, Machine Learning and Data Science – Part I, Part II, R and Julia Programming, Data Management with Hadoop.
Week 9 : Industrial IoT: Big Data Analytics and Software Defined Networks: SDN in IIoT-Part I, Part II, Data Center Networks, Industrial IoT: Security and Fog Computing: Cloud Computing in IIoT-Part I, Part II.
Week 10 : Industrial IoT: Security and Fog Computing – Fog Computing in IIoT, Security in IIoT-Part I, Part II, Industrial IoT- Application Domains: Factories and Assembly Line, Food Industry.
Week 11 : Industrial IoT- Application Domains: Healthcare, Power Plants, Inventory Management & Quality Control, Plant Safety and Security (Including AR and VR safety applications), Facility Management.
Week 12 : Industrial IoT- Application Domains: Oil, chemical and pharmaceutical industry, Applications of UAVs in Industries, Real case studies :
Case study – I : Milk Processing and Packaging Industries
Case study – II: Manufacturing Industries – Part I
Case study – III : Manufacturing Industries – Part II
Case study – IV : Student Projects – Part I
Case study – V : Student Projects – Part II
Case study – VI : Virtual Reality Lab
Case study – VII : Steel Technology Lab
CRITERIA TO GET A CERTIFICATE
Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100
Final score = Average assignment score + Exam score
YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.