In the era of Industry 4.0, brownfield sensorisation and connectivity is a process to obtain data of existing equipment in order to enable smart capabilities in the manufacturing shop floor. Approaches include extracting data from the Programmable Logic Controllers (PLCs) of equipment as well as the installation of sensors to provide relevant data.
About the Programme
During this three and a half-day intensive course, lectures and hands-on practical demonstrations are conducted in an immersive training environment at the Model Factory@SIMTech and A*STAR Industrial Internet-of-Things Innovation (I³).
Participants will learn about the types and functions of sensors, how they work, their capabilities, sensors for various application use cases, short and long-range wireless technologies, the latest types of industrial automation protocols and controllers, and data analytics for decision making.
Participants will get hands-on experience in setting up sensor nodes and gateways for data acquisition, setting up wireless communication networks, obtaining data from sensors, extracting data from machine PLCs, and conducting analysis of data to extract features for decision-making.
Who Should Attend
This course is relevant to manufacturing companies that are interested to analyze data from sensors and machine PLCs to get visibility of the shop floor status, insights of machine health conditions, waste generation and energy consumption status to take pre-emptive action to preempt machine breakdowns, reduce or minimize waste, avoid poor production quality issues and excessive energy usage.
The manufacturing sectors that are targeted includes precision engineering, electronics, aerospace, medtech, general manufacturing and pharmaceutical.