Course Summary

Sensors are a crucial component in the digital transformation era, especially with the growth of the Industrial Internet of Things (IIoT). Smart sensors are the foundation of many Industry 4.0 applications, enabling predictive maintenance, improved efficiency, and reduced implementation costs. This course equips participants with the knowledge and hands-on skills to apply smart sensors effectively for digital transformation in manufacturing.

Methodology

• Competency based
• State of the art teaching resources and facilities
• Individual and team skills development
• Video presentation, simulation and practices

Duration

2 days / 14 hours

Audience

Technicians and/or engineers

Target Industry

Manufacturing Industry

Prerequisites

Basic industrial automation knowledge

Course Outcomes

• Understand the basics of smart sensors through a project-oriented exercise to integrate them in automation processes
• Know the operating principles and characteristics of the various types of sensors used in the manufacturing industry
• Understand the benefits of smart sensors in the context of Industry 4.0 and set up/integrate them into different manufacturing processes to enhance efficiency (e.g., predictive maintenance)
• Use practical, easy-to-implement steps to make digital transformation a reality
• Set up a sensor connection and communicate via IO-Link and Wireless connection
• Know the parameters of smart sensors for process optimisation and predictive maintenance
• Facilitate personnel tasks through automatic data collection, monitoring, and interpretation using smart sensors

Course Outline

Lesson 1: Smart Sensor Fundamentals

• Skill 1.1: Understand the principles of smart sensors

Lesson 2: IO-Link Communication

• Skill 2.1: Learn fundamentals and setup of IO-Link communication protocol

Lesson 3: Advantages of Smart Sensors

• Skill 3.1: Compare smart sensors with traditional sensors

Lesson 4: Parameterisation & Predictive Maintenance

• Skill 4.1: Configure sensor parameters for process optimisation
• Skill 4.2: Apply predictive maintenance strategies

Lesson 5: Sensor Selection & Replacement

• Skill 5.1: Select suitable sensors for specific processes
• Skill 5.2: Perform easy replacement of sensors in the field

Lesson 6: Wireless Monitoring & Dashboards

• Skill 6.1: Set up wireless monitoring
• Skill 6.2: Configure display dashboards

Lesson 7: Integration in Manufacturing

• Skill 7.1: Integrate smart sensors in different manufacturing processes

Lesson 8: Hands-on Practice

• Skill 8.1: Conduct simulations and practical exercises

Certification

Certificate of Completion will be awarded

MBOT CPD

10 credit hours