nexofox – Mais que motores elétricos
Como nexofox, a Dunkermotoren oferecerá a seus clientes, no futuro, uma variedade integral de soluções para o uso e ligação em rede de seus motores inteligentes e sistemas de automação de robôs de sua subsidiária EGS Automação. Por outro lado, Intregal também significa “do nível de campo para a nuvem a partir de uma única fonte”, ou seja, desde a implementação da lógica de controle com MotionCode para soluções de motores até o monitoramento das condições e manutenção preventiva usando serviços de nuvem para motores, robôs e sistemas completos.
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For further information or to discuss your project idea, please contact us directly:
support.nexofox@ametek.com
support.nexofox@ametek.com
Últimas notícias
Digital twins? Administration shell? These concepts are crucial – today!
Dunkermotoren, an AMETEK brand specializing in integrated BLDC motors, is spearheading innovative IIoT solutions under the nexofox label. These solutions offer customers unprecedented opportunities to analyze and integrate drive data. One of the primary focuses of Dunkermotoren's efforts is the development of comprehensive digital processes in collaboration with its customers. At the heart of these endeavors lies the creation of digital twins, leveraging the concept of the Asset Administration Shell (AAS). The significance and potential of this approach might not be immediately apparent, but numerous use cases shed light on its promising nature.
In the realm of product and factory digitalization, the digital twin is emerging as a central component. Dunkermotoren has collaborated with other renowned component manufacturers through the Open Industry 4.0 Alliance (OI4) to explore this concept. Particularly for components, the relevance of digital twins is already evident, with existing use cases demonstrating the need to supply product documentation and information digitally and in standardized formats - a task that could be significantly facilitated by standardized digital twins.
Looking ahead, numerous factors further highlight the importance of this technological approach. It's foreseeable that the EU will impose increasingly stringent regulatory and documentation requirements on delivered products. Examples include the Digital Product Passport (DPP) under the Ecodesign for Sustainable Product Regulation (ESPR) and the CO2 footprint outlined in the Corporate Sustainability Reporting Directive (CSRP). Additionally, IT security demands, such as those outlined in the Cyber Resilience Act, are essential, particularly concerning software patching for products.
What unites these regulations is the constant expansion of product information required from customers, end-users, and other stakeholders in the value chain. Meeting these demands necessitates standardized aggregation of product-related data alongside uniform data provision - a task ideally suited for the digital twin framework.
Looking a bit further ahead, there are even more exciting possibilities emerging in how digital services can truly add value. This is an area where component manufacturers are dedicating significant effort, but one that has often faced the challenge of data sovereignty. Here's the issue: Machine manufacturers use components from various component manufacturers to build their machines. These machines are then operated by the customers of the machine manufacturers. The crucial data, which can provide insights into the product status, is generated only when the machine operates in the factory. However, the sovereignty over this data doesn't lie with either the component manufacturer or the machine manufacturer; it rests with the plant operator where the data is generated.
While pilot and flagship projects can sometimes address this problem through intricate individual contracts, this approach typically becomes an insurmountable obstacle for mass production. From the perspective of component manufacturers, the digital twin could offer a key solution. If a digital twin were provided alongside the physical product and integrated by the machine manufacturer, it could then be transferred to the machine operator and incorporated into their IT environment. Consequently, the data generated from operating the installed component would also enhance the digital twin sourced from there. If analyses, such as identifying mechanical wear, require engine data, the system operator could voluntarily share this data with the machine and component manufacturers through the synchronization of digital twins along the value chain. The component manufacturer utilizes appropriate algorithms to determine the data records communicated through the chain of digital twins, then sends the results to the machine manufacturer, who in turn shares it with the machine operator. This enables the machine manufacturer to integrate a digital service for detecting component wear into its predictive maintenance solution and offer it to customers. This approach fosters transparent, voluntary business transactions.
Another possibility for the component manufacturer is to purchase the data from the machine operator, who may also need to acquire the analysis if required. Standardized digital twins and data room networking would facilitate the implementation of digital value-added services throughout the value chain. While a few pieces of the puzzle remain before this scenario can be fully realized, there is a clear trend in this direction, prompting Dunkermotoren to devote significant efforts to developing the necessary technologies already today.
The Technology Explained Briefly
As highlighted in the aforementioned cases, a standardized digital twin plays a crucial role in implementing digital value-added services. But what exactly does such a twin entail? Dunkermotoren identifies the administration shell (AAS) as a fundamental technology in this regard. Its standard is already acknowledged across various industries and initiatives like Catena-X, Factory-X, the VDMA, the Industrial Digital Twin Association (IDTA), and the Open Industry 4.0 Alliance. This standard is increasingly discussed and adopted on a broader scale. Like the evolution of the Internet, the appeal here lies in a decentralized approach. This enables the exchange of data across different environments through a common standard. Drawing parallels to the Internet, various product catalogs can be likened to browsers, corporate IT to homepages, and the AAS to the IP protocol. Cross-company digitalization and the industrial data economy can only thrive if a heterogeneous system is established, allowing everyone to exchange and transact data under clearly defined rules.
Dunkermotoren and the IIoT
Guided by this vision, Dunkermotoren has taken on the challenge of administration shells and digital twins. In the current iteration, associated documents and technical data can be accessed by scanning a 2D code on the motor. Dunkermotoren is gradually implementing this feature across its entire portfolio. However, from a functional perspective, this marks just the beginning.
Expanding upon this, Dunkermotoren is also working on providing CO2 footprints, exchanging time series data, and directly integrating digital twins into customers' ERP or PLM systems. These initiatives are being pursued collaboratively with other companies within the Open Industry 4.0 Alliance.
Hands-on - testing the technology live
As already mentioned, in addition to all the technology, collaboration and exchange with other companies is also an essential topic in the development of interoperable solutions. This is where the IDTA and OI4 provide an ideal environment for Dunkermotoren. The IDTA is responsible for the basic standardization and definition of the administration shell, which is particularly essential for functioning interoperability. The OI4 provides tangible use cases and best practices for successful implementation across various industries.
If you would like to look into the future, you can already test the whole construct live! As part of Hanover Fair 2024, the Open Industry Alliance is once again organizing a Digital Twin Challenge. This will impressively demonstrate how open and interoperable the digital twin approach is and how easy it is to get started. In the form of a "rally", digital twins of real products can be scanned or collected at various trade fair stands. Join the challenge and see how digital, cross-company collaboration will be key to future competitiveness.
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Digital twins? Administration shell? These concepts are crucial – today! (PDF)
03/27/2024
Predictive Maintenance à la nexofox
The malfunction of machines and systems always poses a significant cost burden for companies. Costs of 120,000 euros or more per hour are not seldom for such downtimes.1 Profitability relies heavily on smooth operations and production. Unplanned downtimes exacerbate the situation, making it challenging to predict timing, duration, and associated costs.
To mitigate these risks, implementing optimized maintenance planning is advisable. Predicting specific error patterns is a crucial step toward condition-based maintenance, enhancing predictive maintenance strategies. The team at Dunkermotoren's digital brand, nexofox, specializes in preparing the manufacturer's drive systems for such maintenance approaches.
Adhering to the philosophy of "More than Motors," nexofox progressively expands the software product portfolio of Dunkermotoren, an AMETEK brand. A key component is the "Predictive Maintenance" software, offering customers a new option for automatic, condition-based monitoring of their entire drive systems. This software not only alerts customers to impending failures but also provides continuous updates on the system's current status. One distinct advantage of nexofox's "Predictive Maintenance" is its reliance solely on existing motor sensors, eliminating the need for additional electronic components. This approach not only saves space but also offers significant cost savings.
Predictive Maintenance in Detail
In the initial stage of condition-based drive monitoring, the focus is intentionally placed on assessing the wear of the mechanics linked to the motor. This approach aims to optimize mechanical service life by detecting typical, gradual wear effects, such as those on an attached gearbox. Moreover, customers receive immediate alerts regarding abrupt changes that could potentially result in an unplanned downtime if not addressed promptly.
Accurate detection of specific fault patterns necessitates collaboration with the customer, as they have the most detailed knowledge about their application's structure and can appropriately classify fault patterns. The initial version of nexofox's predictive maintenance solution offers customers a standardized basis as a tool for anomaly detection and unplanned downtime reduction, with room for individual adaptations.
Like all nexofox software products, Predictive Maintenance is provided to customers as a Docker container, ensuring seamless integration into any existing industrial IoT solution without requiring a permanent internet connection. Predictive Maintenance operates locally on the EDGE gateway utilized by the customer. An internet connection is only necessary if the customer opts to share metadata with the nexofox team. However, consent is not obligatory for the software's full functionality. Nonetheless, the parameters processed by the software contribute to the ongoing optimization of the software´s algorithm. Subsequently, customers will have access to the latest algorithm version through regular updates.
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Predictive Maintenance à la nexofox (PDF)
03/27/2024
Take big steps towards the digital twin and predictive maintenance with nexofox
Nexofox, a Dunkermotoren creation and part of the AMETEK brand, offers solutions and services that go beyond the motor. Currently, the team is not only dealing with control programs on the motors but is also working on digital twins and predictive maintenance. Markus Weishaar, Director of IIoT and Services at Dunkermotoren, explains in an interview how the results are presented in detail and what services Dunkermotoren customers can look forward to in the future.
Markus, with nexofox you develop digital services for Dunkermotoren's smart motors. Give us an insight into the work of nexofox.
M. Weishaar: Under the umbrella of nexofox, we basically deal with all topics that go beyond the actual motor solutions. This starts with classic services such as training or commissioning, and continues with the programming of motion codes, i. e. control programs directly on our motors, and ends with digital services. Of course, there is a lot of dynamics in this area. In recent years, there has been a great focus on networking and data acquisition, while we are currently working intensively on providing digital twins in the form of management shells and bringing predictive maintenance to the market. Another exciting aspect of our digital products and services is that they are not only available for Dunkermotoren, but also for motors from other manufacturers. For example, if our BGE 5510 dPro controller is used with another motor, all functionalities such as MotionCode, nexoLink or Smart Diagnostics are also available for it.
At sps, you will present the expansion of Smart Diagnostics. Why should Dunkermotoren customers use Smart Diagnostics? What benefits does the tool offer its users?
M. Weishaar: We have recognized that the full spectrum up to the cloud is not always needed, or at least not permanently. For this reason, we have split the Smart Diagnostics product - into nexoLink and Smart Diagnostic. NexoLink offers a simple way to integrate our controllers and motors into any IIoT or EDGE environment using standardized technologies such as OPC UA, MQTT and Docker. Smart Diagnostics, as a new add-on, is now a module that is based on this infrastructure and can be activated on-demand to specifically analyze and diagnose the behavior of individual drives. But that is not all. The new structure enables us to easily dock other modules such as Predictive Maintenance or data integration in Asset Administration Shells (AAS) onto nexoLink.
This gives our customers an advantage in that they can get offers that are individually tailored to them. They only pay for what they need, or in the case of on-demand services, only when they need it. In the simplest case, customers can simply purchase nexoLink with a one-time license and integrate our motors themselves into their own IIoT ecosystem. On this basis, it is then always possible to add the other modules permanently or on-demand - as needed or desired.
What opportunities does Smart Diagnostics offer in terms of predictive maintenance?
M. Weishaar: To be honest, none. Predictive maintenance is a completely independent module. With Smart Diagnostics, the focus is on targeted as well as long-term data collection and supported analysis of the data by humans. Predictive Maintenance represents the automatic monitoring of the entire drive train, which sends a warning in advance of failures. The special feature of our solution is that, in contrast to many other approaches, we manage without additional sensors and use our motors as sensors to diagnose the drive train. The focus here is primarily on wear of the mechanical components connected to the motor. On one hand, the normal creeping wear effects can be detected with the aim of maximizing the mechanical service life. On the other hand, the focus is also on sudden effects which, if ignored, would result in defects elsewhere. We are aware that an exact detection of the error patterns, such as the exact identification of the worn bearing, is only possible in cooperation with our customers who know the structure of their machine and can classify the error patterns. We can at least provide a detector for abnormalities right from the start. Come and see the current state of development at the SPS in Nuremberg in Hall 4-481.
How do you stand out from existing solutions?
M. Weishaar: As already mentioned, we stand out from others, for example with our Predictive Maintenance solution, in that we do not simply install an additional vibration sensor in the motor, but rather build on the existing hardware. In general, we distinguish ourselves in the market because we are not a software company that offers any kind of solution, but that we develop solutions tailored to the drive technology and the controllers of Dunkermotoren. This is our core know-how and of course we also feel comfortable connecting other manufacturer’s motors, but we don't necessarily see anything beyond that as our playground.
What development do you see for the future?
M. Weishaar: Currently I see a very strong trend in the market towards product data provision via the administration shell. I see this as the basis for bringing the topics together in the future. I think that in the future a predictive maintenance service can also be easily connected to a management shell. I imagine the following scenario: At delivery, an instance of the administration shell (AAS) is handed over to the customer. In the customer's environment, the live data of the motor that accumulates during operation is stored. If the customer then wants to use our Predictive Maintenance Service, he can book this from us via the AAS. In this case, the two instances of the management shell, ours and our customer's, are synchronized with each other. Either the data is then used on-demand temporarily by the service or we as a component manufacturer "buy back" the live data for the analysis of our motors from our customer in return. In either case, this would create a closed transaction. The issue of data sovereignty would also be clearly regulated, as it would be a willing act to sell the data or make it available in exchange for a clearly named added value. Whether the approaches will look exactly like this remains to be seen. At the moment, many indicators are pointing in this direction.
Thank you Mr. Weishaar for this detailed insight into your work with nexofox and Dunkermotoren.
M. Weishaar: With pleasure.
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Interview (PDF)
09/28/2023