L33Tech is a speaker for the following SIMTech Class:

Course Introduction

The industrial Internet of Things (IIoT) uses sensors to automate the collection and communication of industrial data to end users in real time. This has ushered in the Fourth Industrial Revolution, or Industry 4.0, where manufacturers can benefit from real-time visibility of production status and equipment health conditions.

Such production information and derived insights can be used in the following areas:

  • Support predictive equipment maintenance to pre-empt equipment breakdown;

  • Automate assembly processes;

  • Provide real-time visibility for on-the-go decision-making support to take advantage of business opportunities;

  • Enable simulation using on-line production data to improve shop floor management;

  • Reduce wastage of raw materials, energy and manpower through early detection of quality issues;

  • Provide digital traceability starting from supply chain through production, shipping and distribution to support auditing and product recall management when necessary; and

  • Allow supply chain partners to deal with ad-hoc supply chain disturbances.

IIoT relies on sensors to collect data for the identification of events and materials, measurements, presence detection. Sensorisation is therefore the first step of the digitalisation journey of brownfield factories. The sensor selection process is an important process that identifies sensors to support the application in providing the type and range of sensor data, and the ability to withstand the operating environment. For this 2-day master class, participants will identify an application for their production environment where sensors can be used to improve work processes, provide visibility and improve shop floor control, etc. Participants will also get to experience and practise their newly-acquired knowledge at the Model Factory@SIMTech, which is an actual production environment that allows for experiential experimentation and learning of manufacturing system technologies, during the hand-on practical sessions.

Upon Completion, You Will Gain:

  • Knowledge of use cases for sensorisation to achieve objectives such as factory automation, predictive equipment maintenance, material handling, energy and waste monitoring

  • Knowledge of the types of sensors and an understanding of their areas of deployment

  • Knowledge of IIoT use cases, IoT wireless standard and technologies, Serial-to-Ethernet connectivity, LoRa

  • Immersive learning with hands-on practices using Monnit sensors and Flexy IIoT gateway

Who Should Attend

This course is designed for professionals such as project managers, engineers & technicians, IT professionals embarking on digitalising their organisations’ business operations.

What You Will Learn

Sensor Deployment – the First Mile of the Digitalisation Journey

  • Understand the different types of sensors

  • Know the types of sensors that are suitable for various applications, such as predictive equipment maintenance, factory automation, material handling, energy and waste monitoring

  • Understand the sensor selection process and deployment

IIoT and Key Challenges Faced in Implementing IIoT

  • Know the characteristics of IIoT (examples: autonomous data capture, unique identification of objects)

  • Know the elements of IIoT (examples: sensors, actuators, connectivity, communication protocols, gateways)

  • Be aware of the key challenges faced in implementing IIoT

  • Know the applications of IIoT

Introduction to IoT Wireless Standards and Technologies

  • Understand the IoT wireless standards and technologies

  • Know the advantages and shortcomings of the different technologies

  • Understand the serial-to-ethernet connectivity

  • Know the use of LoRa for secured connectivity over long distances using low power

Immersive Learning through Hands-on Monnit Sensors

  • Connecting gateway and sensors

  • Testing of sensing distance

Immersive Learning through Hands-on Flexy

  • Pulling of Modbus TCP data from sensors

  • Dashboard drawing

  • Creation of VPN and remote access

  • Setting alarms

Translate Learning into Implementation

  • Apply acquired knowledge in practice with case studies-based discussions

  • Select target application and types of sensor to use for deployment

  • Learn how to develop requirements and specifications

Trainers' Profile

Mr Jason Soh has been involved in M2M technologies and implementing IIoT solutions since 2014 for Factory Automation, Building Management, Power Generation and Water/Waste Water verticals. He is also the Business Development Director of L33Tech, an IIoT Connectivity Solution provider. He has more than 5 years’ experience in handling technical sales of industrial wireless/gateway solutions and IIoT/IoT software engineering. 

Mr Steve Lim is a Senior Application Engineer with Kepware Technologies with more than 5 years’ experience in machine connectivity, sensors and industrial protocols. He is also a Splunk-certified Architect and specialises in OPC, industrial device connectivity and scripting for edge applications. 

Mr Tan Chak Huah is a Principal Research Engineer with SIMTech. He has been involved in the manufacturing operations management since 1986 that extends from production scheduling, shop floor tracking, material handling and warehousing systems, real-time tracking using RFID, and real-time dispatching. His current research interest is helping the local manufacturing sector improve productivity, reduce waste, and ensure health and safety through the usage of sensors to provide real-time visibility, insights and shop floor operations management.