Study Guide

Objective

You can explain the importance of data collection in industrial solutions.

You know how to plan data collection from various industrial processes to utilize predictive maintenance, process status analysis and energy consumption optimization.

Knows how to use the software interfaces of industrial devices and sensors and different protocols for efficient utilization of automation systems.

Content

• decentralized data collection
• ERP, MES, SCADA integration
• the importance of software interfaces and protocols of industrial automation field instruments in data collection
• selection and implementation of the data collection method using different software interfaces
• efficient and secure automation data transfer solutions operating in wireless networks
• the possibilities of automatic analysis of collected data and artificial intelligence
• the possibilities of real-time and historical data in different industries
• mass data (Big Data) utilization in operational optimizations
• data analytics data collection, organization, storage, tools, techniques and analyses

Assessment criteria, satisfactory (1)

You can list the advantages and disadvantages of distributed data collection in industrial internet solutions, for example from electricity distribution networks, industrial plants, district heating networks, etc. You recognize the importance of software interfaces and protocols of industrial devices and sensors in the efficient use of automation systems. Under the teacher's guidance, you can choose a suitable data collection method and implement it using a software interface in the data collection of automation systems. You know how to design a controlled distributed intelligent architecture for data collection supporting automation, and to design efficient and secure data transfer solutions for automation that work in wireless networks in a controlled manner. You know the possibilities of automatic analysis of collected data and the possibilities of artificial intelligence, and you know how to choose the best methods for use in an industrial automation system.
You take advantage of the possibilities of real-time and historical data, for example in maintenance.
You know the suitable uses of mass data (Big Data) in the implementation of automation systems and you know how to plan an automation implementation that utilizes mass data in a controlled manner.
You know the automation data analytics process and you know data analytics data collection, organization, storage, tools, techniques and analysis.

Assessment criteria, good (3)

You can explain the importance of distributed data collection in industrial internet solutions, for example from electricity distribution networks, industrial plants, district heating networks, etc. You know the importance of software interfaces and protocols of industrial devices and sensors in the efficient utilization of automation systems. You know how to choose a suitable data collection method and implement it using a software interface in the data collection of automation systems. You know how to design a distributed intelligent architecture for data collection that supports automation, as well as design efficient and secure data transmission solutions for automation that work in wireless networks. You know the possibilities of automatic analysis of collected data and artificial intelligence, and you know how to choose methods for using an industrial automation system.
You take advantage of the possibilities of real-time and historical data, for example in maintenance.
You know the suitable uses of mass data (Big Data) in the implementation of automation systems and you know how to plan an automation implementation that utilizes mass data.
You know the automation data analytics process and you know data analytics data collection, organization, storage, tools, techniques and analysis.

Assessment criteria, excellent (5)

You are able to analyze the importance of distributed data collection in industrial internet solutions, for example from electricity distribution networks, industrial plants, district heating networks, etc. You know the importance of software interfaces and protocols of industrial devices and sensors in the efficient utilization of automation systems. You know how to choose suitable data collection methods and implement data collection of automation systems using different software interfaces. You know how to design a distributed intelligent architecture for data collection that supports automation, as well as design efficient and secure data transmission solutions for automation that work in wireless networks. You know the possibilities of automatic analysis of collected data and the possibilities of artificial intelligence, and you know how to choose the best methods for using an industrial automation system.
You know how to utilize the possibilities of real-time and historical data in different industries, for example in maintenance.
You know the suitable uses of mass data (Big Data) in the implementation of automation systems and you know how to plan an automation implementation that utilizes mass data.
You understand the automation data analytics process and master data analytics data collection, organization, storage, tools, techniques and analysis.