Industry

Automation | trends and perspectives

Digital networking via the Internet of Things is currently one of the megatrends. In addition, interdisciplinary and thinking across industry boundaries are required – especially in automation. New technologies can only develop their full potential with the help of a comprehensive process understanding.

Automation
Automation

With regard to Industry 4.0, the theory is increasingly followed by action. Many experts are convinced that further coordination and bundled activities in the industry will only set additional changes in motion. Dr Attila Bilgic, Managing Director and CTO (Chief Technology Officer) of the Krohne Group, Duisburg. “The industry is struggling to initiate disruptive approaches. However, we find it even more difficult to implement them. “However, the evolutionary development of processes works well, Figure 1:” We are able to further improve things that we are good at. ” Bilgictherefore recommends thinking outside the box about basic core business processes. In his opinion, one risk is missing out on new opportunities – with the effect that others close the gap and, as a result, fill the entire value chain. Real winners will recognize the opportunities that Industry 4.0 offers, Figure 2 – and seize them.

Automation solutions
Automation solutions

Anomaly detection to defend against cyber attacks

The diverse opportunities of Industry 4.0 are increasingly faced with questions of information security: How can the confidentiality, integrity and availability of industrial devices and systems be guaranteed? The “AnoKo” research project (Koramis GmbH, Potsdam; Zema – Center for Mechatronics and Automation Technology, Saarbrücken) aims to detect unauthorized access or interference in production systems. This is to be achieved by analyzing the industrial communication system of a production plant for deviations at defined time intervals. To get physical and Online training in all Automation courses click here

The anomaly detection system, which was further developed in the AnoKo project, enables operators to protect their production facilities more comprehensively from attacks. To this end, design analysis of selected industrial communication protocols is carried out first. On this basis, observation and evaluation criteria are defined and implemented. “With the help of the project results, anomaly detection systems can be more easily adapted to specific industrial protocols and evaluated under real conditions. These systems can then be subsequently integrated into existing systems or used as a basic platform for the development of future Industry 4.0 applications, ”explains Dipl.-Ing. Heiko Adamczyk , Business Development, Security and Industry 4.0 at Koramis.

Use data analysis for better user guidance

Analyze data and use it for optimization: This megatrend is not only reflected in security issues. A key question is how, thanks to integrated data analysis and fusion, improved user guidance of operator assistance systems is possible. They can help reduce costs caused by defective parts and processes in assembly. The crucial question in this process is which data can be used for analysis, how they are related to one another and how a corresponding recommendation for action can be obtained. Dipl.-Ing. Benno Lüdicke , Dipl.-Inf. Christoph Legat and David Renaudfrom Assystem, Paris / F. One question is, for example, how data analyzes can be used to reliably identify defective parts and thus avoid them. To do this, it is first necessary to reliably record the process parameters. Using the data analysis, the deviation can then be quantified and qualified.

Predictive maintenance in the context of Industry 4.0

Automating maintenance processes, making machine maintenance more efficient and finally achieving predictive maintenance: How this plan can be achieved step by step is shown by a current research project by Sybit GmbH, Radolfzell am Bodensee, in cooperation with the Swiss technology group Bühler, headquartered in Uzwil. Their machines are in use all over the world. The entire maintenance process is correspondingly complex.
In the first step, AR (Augmented Reality) glasses are used to reduce travel and time expenditure for service technicians. “The service specialist can inspect machines worldwide from his office and also guide the machine operator ‘on site’ with maintenance steps,” explains Sybit research director Dr.-Ing. Jesko Elsner. This forms the start of efficient remote diagnosis that saves money, time and effort. Successful remote maintenance is possible through the combination of human expertise, visual perception through the AR glasses and the data that the sensors of the machine continuously deliver. Many problems can already be solved this way. In addition, remote diagnosis makes it much more efficient to identify any need for spare parts and to send the required parts faster.

The project goes well beyond the individual maintenance case: data from various maintenance situations are collected and automatically evaluated by the system. This results in a pattern of frequent maintenance cases to which those responsible can react even faster and more systematically in the future – right up to predictive maintenance that predicts necessary maintenance intervals even more precisely and thus further shortens unplanned downtimes. “This could result in completely new business models for machine manufacturers in the future, for example in the combination of maintenance service and guaranteed production figures instead of just selling a single machine,” explains Dr. Elsner .

Automation Congress analyzes the trends

The specialist congress in the Kongresshaus Baden-Baden provided insights into these and other topics. The focal points continued to include efficiency increases in the planning of automated systems, the planning of the communication infrastructure for future automation systems and the role of Industry 4.0 and the “digital twin” in the life cycle of a system.

With cloud automation, the vision becomes a reality

Use the IT infrastructure efficiently with the help of cloud automation

While cloud service providers are making it easier for companies to access more and more computing power and storage space when needed, comparatively little has been done to reduce the workload associated with managing the cloud infrastructure. To be able to use the cloud more effectively, it is important for companies to understand what they can automate in the cloud. While iPaaS (Integration Platform as a Service) provides tools to automate workflows between the applications hosted in a cloud without complex API programming, Cloud Automation uses special software tools and methods to automate manual tasks associated with administration and are connected to the operation of a cloud-based IT infrastructure. The original vision of cloud computing automated on-demand services that can be dynamically scaled will become a reality with cloud automation. To get Best Automation Training visit this website Burraq Engineering Solutions

Cloud Automation
Cloud Automation

From manual work to automation

Provisioning and operating workloads in the cloud have traditionally been a time-consuming process that requires extensive manual configuration by IT operators. Common tasks such as configuring virtual machines, setting up VM clusters, setting up virtual networks, and managing availability and performance must be done manually. If a workload requires a hundred virtual machines, they must be configured individually.
Cloud automation can be used by companies to reduce the manual effort required to provision and manage cloud computing workloads and services. Cloud automation can be used in public as well as in private and hybrid cloud environments in order to reduce the administrative effort and to achieve workflow goals such as continuous integration and continuous provision. Cloud automation tools can be configured to automatically control the installation, configuration and management of cloud computing systems so that companies can get the most out of their cloud-based resources.

Cloud automation isn’t everything

In addition to cloud automation, cloud orchestration is also part of a well-thought-out cloud deployment. It defines the delivery and management of the tasks to be automated and streamlines tasks or processes to improve efficiency and reduce manual workload. The automatic provision of servers, the backing up of data or the detection and elimination of unused processes are some of the tasks that cloud automation can perform in real-time without human interaction. The cloud orchestration organizes and coordinates these defined tasks into a uniform approach in order to achieve the intended goals. Cloud orchestration combines low-level tasks into processes and coordinates them across the infrastructure, which often consists of several locations or systems. In a metaphorical sense, cloud orchestration is the arrangement of these pieces to form a finished puzzle, while cloud automation is a piece of the puzzle.

Wide range of tasks – from IaC to version control to data backup

IT organizations that rely on a cloud-based infrastructure can automate a number of tasks to lower their IT costs, reduce errors, and increase their operational efficiency. Below are some of the most common tasks that cloud automation can make more efficient.
Typical areas of application for cloud automation include

  • Establishing an infrastructure as code (IaC)
  • Version control for workflows
  • Implementation of regular data backups
  • Shutting down unused instances and processes

Establishment of Infrastructure-as-Code (IaC)

The concept of Infrastructure-as-Code describes the process of managing and deploying the technology stack using software and code instead of configuring individual hardware elements. Cloud platforms with virtualization functions can automate the detection of computer resources in the network and organize them in pools so that IT operators can flexibly provide resources regardless of their physical configuration or their location in the server room. These results in an infrastructure as a code architecture in which users can execute automated, codified processes to achieve the desired hardware configuration without manual setup.

Set up version control for workflows

With increasingly stringent data privacy and security requirements for confidential data stored in the cloud, organizations can use cloud automation tools to provide version control for workflows in which that data is used. This enables the organization to demonstrate to a regulator that the same secure configuration was used each time the data was accessed or changed.

Performing data backups

Even data that is stored in the cloud should be backed up regularly to avoid data loss. With cloud automation, IT operators can configure data backups in such a way that they are carried out automatically outside of business hours without manual intervention.

Cloud automation does more than just reduce manual work

Cloud automation offers a number of advantages. Once a process is defined, it can be repeated with little or no manual intervention and even set up to run on a fixed schedule. In addition to the obvious advantage of reducing manual work, cloud automation offers other advantages:

Cloud automation offers a number of advantages. Once a process is defined, it can be repeated with little or no manual intervention and even set up to run on a fixed schedule. In addition to the obvious advantage of reducing manual work, it offers other advantages:
Agility: Companies can quickly scale server instances and storage to better adapt to changing requirements.
Effectiveness: Quality assurance and test functions are also effectively activated by cloud automation, eg B. by allocating computer resources for the workload of the tests to be run.
Speed: Increased delivery speed of the cloud infrastructure and administration. With this, tasks can be completed faster. An IaC tool can eg, For example, you can set up a hundred servers in just a few minutes using predefined templates.
Control: Better management and centralized management of existing environments
Security: Significantly reduces the risk of human error, malicious insiders, and account compromises.
Reliability: The continuous monitoring of cloud services and the automatic reaction to problems ensure that business processes run smoothly.
Change management: The improvement of the CI / CD method (Continuous Integration and Continuous Delivery) ensures a better overall process cycle, at the same time reducing the likelihood of software errors and increasing development stability.
Improved governance: When setting up systems (manually or on an ad hoc basis), administrators keep track of what is actually going on and have a centralized way of controlling the infrastructure.
Cost: Fewer manual processes also mean fewer errors, so less time is spent diagnosing and debugging and more time is left to get things done. The TCO (Total Cost of Ownership) of the IT infrastructure is significantly reduced.

The key to more scalability and agility

The main difference between cloud automation and other types of automation lies in the types of services to which cloud automation applies. Since cloud-based environments allow users to access resources differently than they have on-site (eg cloud environments typically do not give end-users control over physical servers), cloud automation focuses more on the automation of infrastructure services than on physical equipment.
But cloud automation is also the key to dealing with the scalability and complexity of its environments. Certainly half a dozen local servers can be managed manually without any problems. In the cloud, where there is a multitude of different types of VM instances to choose from, automation plays a special role in avoiding the operation of servers that are not required.
Because cloud environments are made up of a number of different types of services that are constantly changing, automating the management of cloud resources is critical to getting the most benefit from the cloud. Without cloud automation, companies deprive themselves of the scalability and agility that a cloud offers for a more comprehensive IT strategy.

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