Course Info
IoT Technology for the Monitoring and Control of Machines
Course Number: 008
Fee: Free
Length: 3 Hours
Credits: This course qualifies for 3 PDH (unstructured) and 3 CEU (structured) technical learning credits issued by most US State Engineering Regulatory Organizations and all Canadian Provincial and Territorial Engineering Regulatory Organizations.
Online, Self-Directed Format: Primarily Text with Illustrations and Video
Course Description (Syllabus):
Welcome to the course "IoT Technology for the Monitoring and Control of Machines".
IoT is a rapidly growing technology that is transforming industries such as manufacturing, construction, and facility maintenance. As more and more industries adopt IoT technology engineers will increasingly be tasked with creating IoT monitoring and controlling systems.
This course is designed to provide an introductory understanding of the role of IoT in the monitoring and control of machines beginning with an introduction to IoT, its definition, and its importance and relevance to engineering.
The course will then move on to understanding IoT monitoring sensors and devices. We will cover the explanation of IoT sensors, their function, and significance. IoT sensors are the backbone of any IoT system, and they play a crucial role in collecting data from the physical world. In machines IoT sensors can be used to monitor various parameters such as temperature, pressure, vibration, and motion. We will also discuss the role and importance of IoT devices and provide examples of IoT devices used in machine monitoring and control.
The course will then delve into IoT, its benefits, limitations, and applications. We will cover machine monitoring and maintenance, quality control assurance, energy efficiency and optimization. We will also explore IoT in different industries and case studies.
Learning Outcomes: By completing this course you will learn:
1. Overview of IoT technology and how it is being applied for machine monitoring and control
2. An understanding of IoT sensors, actuators and control devices
3. The importance of Big Data and AI in IoT
4. Understanding of IoT Virtual Digital Twins
5. Applications of IoT in Machine Monitoring and Control: optimization, quality control, predictive maintenance
6. How to calibrate and install sensors
7. How to program IoT monitoring and control systems
8. Sources of sensors, devices and IoT platform software
9. Industry examples and case studies of IoT machine monitoring and control
10. Emerging trends and the future IoT technology for engineers
Who Should Take This Course:
Engineering Students and Mechanical, Electrical, Civil, Agricultural. Facility and Biomedical Engineers less familiar with the use of IoT in the monitoring and control of machines and engineers who wish to update their knowledge of this rapidly evolving technology in this field of engineering.
Course Instructions:
Enrollment: You must be registered and logged into the Engineer eLearning Centre website to access this online, self-directed course.
Once you are logged into your Engineer eLearning account click “Browse Courses” to find this course. Click Enroll and confirm you wish to enroll.
Once you have confirmed your enrollment you will be returned to your account “My Courses”. Click Enter Course in course profile box. You can enter the course at any time and as many times as you wish. There is no time limit as to when you must complete this course. To access the course learning content click the module headings in the side menu.
Credit Options
After completing this course you have the option of receiving eMETA PDH or CEU credit(s) or both. eMETA credits qualify for Unstructured and Structured technical learning credits required by most US State and all Canadian Provincial and Territorial Engineering Regulatory Organizations.
To receive your eMETA CEU credits you will be required to take an automated quiz.
Instructions on how to receive your credit(s) and download your PDF Certificate(s) are provided in the side menu of this course. Your credits will also be registered in your Engineer eLearning Centre account. You can download a Transcript of all credits earned in the Engineer eLearning Centre by clicking the Transcript tab in your account.
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