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Market trend

Dr. Thomas Bürger / Andrea Gillhuber,

Open ecosystems as a success factor

"Open systems" have been advertised and implemented in various forms, technologies and products for decades. Numerous market trends in recent years have not only confirmed these approaches, they have also made them a success factor in numerous applications. A classification by Dr. Thomas Bürger.

© Weidmüller

The industry is changing. A frequently cited but also challenging example for many users is the change in supply chains. Disruptions in the supply chains of central automation components such as control systems in particular lead directly to delays in projects. A common and obvious approach is to develop a multi-supplier strategy. The resulting requirements for openness are obvious: cross-manufacturer interoperability with regard to communication between automation devices on the one hand, but also the standardized use of software components on the other.
Operators of machines and systems are also increasingly confronted with sustainability reporting guidelines. For the resource and energy management that this requires, production facilities and the machines and systems they operate must provide more and more data. Companies can only obtain a reliable overview of the consumption of their production with the most accurate values possible. Ideally, the data should be transparent right down to the IT level in cloud-based software systems. The much-cited convergence of OT (operational technology) and IT (information technology) required for this also leads to completely new requirements for open systems.
This is particularly true at a completely different level: for specialists. IT technologies such as security or TSN are flowing into OT; at the same time, OT technologies such as OPC UA are merging into IT. As a result, specialists need to be able to think and combine OT and IT from a single source.

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From an open system to an open ecosystem

Customer demand for open systems is now being met by numerous automation providers. The term "open ecosystem" is often used here, which takes a holistic view of openness: In addition to openness in the sense of technical compatibility and interoperability of individual devices and components as well as the use of open technologies, for example open source such as Linux, this also includes cooperation between different players - customers, partners, competitors, suppliers. This form of partnership-based cooperation, known as co-creation, accelerates and broadens the range of solutions for users. Particularly in areas where partners have specific expertise, such as cybersecurity or AI, synergies can quickly arise that would not be achievable without open approaches.
Openness is also a decisive criterion for users when it comes to ecosystems: lock-in effects due to technical restrictions, licensing requirements or infrastructure systems such as app stores lead to disadvantages in terms of flexibility and freedom of choice in the medium term. True openness is therefore demonstrated by bridging ecosystems, for example by using components and devices from different ecosystems, such as Codesys, Container, Node-Red or Siemens Industrial Edge.
The resulting challenge is to harmonize the various software tools with manageable engineering effort - in other words, to enable collaboration between them. Dedicated technologies, such as message brokers, which network applications with each other, are becoming the basic prerequisite for open ecosystems.
ecosystems. They replace time-consuming programming of interfaces and enable customers to easily configure the connections of required tools.

Open ecosystems as an advantage in Industrial IoT

Ultimately, many applications show that open ecosystems are a decisive success factor in automation. In times of increasing individualization of customer requirements and growing complexity of supply chains, open ecosystems offer the necessary flexibility and interoperability to remain competitive. By integrating open technologies, companies can not only reduce costs, but also strengthen and expand their innovative power. Examples show this: The move from proprietary to open systems is essential in order to exploit synergies, create sustainable added value and meet the challenges of digitalization.
meet the challenges of digitalization. Companies that rely on open solutions benefit from a larger selection of technologies and partners - and thus secure their future in the Industrial IoT.

u-Software - Software from Data to Value

Weidmüller is pursuing an open ecosystem strategy, particularly with the 'u-software' modular software system. In addition to the edge operating system 'u-OS', this includes the cloud-based industrial service platform 'easyConnect' and a portfolio of user software such as the HMI and SCADA solution 'Procon-Web', the energy management system 'ResMa' and the industrial analytics tools 'AutoML' and 'edgeML'.
The openness of the modular software system is reflected in the consistency of the products: Via the so-called 'Apphub', not only can application software from Weidmüller for the u-OS operating system be installed as a web-based application, but also a growing number of partner software, including Codesys or 'Cordis Suite', a low-code platform for industrial automation. Users can also install third-party apps themselves or load their own applications onto the operating system.

An important architectural element of u-OS is the so-called 'data hub', which is used to transfer data between the individual applications. In addition, standardized communication protocols ensure the interoperability of apps from different manufacturers. The new software tool 'Procon-Connect' expands the software portfolio: As a communication tool for both open and proprietary interfaces from different control system manufacturers, it is a key element that bridges and connects ecosystems. It not only gives users access to Weidmüller controllers, gateways and energy meters, but also to a large number of controllers and IoT components from other suppliers.

The basis for this is again the consistent use of manufacturer-independent, open technologies such as MQTT or OPC UA as well as web technologies for engineering tasks. At the same time, Procon-Connect is the data supplier for the new, integrated and machine-oriented solution for machine learning edgeML. edgeML combines the principles of IT with OT: It enables ML models to be executed directly on the machine, resulting in low latency times. edgeML also uses the openness of the modular software system and integrates seamlessly into the Weidmüller portfolio. Learning algorithms can run directly on the edge - whether in the form of a PLC or an IPC. Data processing takes place directly at the source. This is particularly advantageous for companies in safety-critical sectors, as the data remains entirely in the company's local network and decisions can be made directly at the machine - enabling a rapid response to anomalies. Weidmüller's no-code approach makes it possible to develop ML models and deploy them to a controller even without knowledge of Python or data science. Anomalies are then visualized very easily with the HMI Procon-Web in the new and integral approach. This creates an end-to-end solution from data acquisition, detection of machine anomalies, machine operation and visualization of anomalies for diagnostic purposes.

The author Dr. Thomas Bürger is Executive Vice President Automation Products and Solutions at Weidmüller. © Weidmüller

In the spirit of openness, the Weidmüller user software is hardware-independent. In addition to the two software tools u-OS and easyConnect, the user software also runs on generic hardware as a Docker container. This includes IoT gateways, controllers and IPCs.

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