nexofox - Più che motori

Sotto il nome di nexofox, Dunkermotoren offrirà in futuro ai suoi clienti una gamma olistica di soluzioni per l'utilizzo e il collegamento in rete dei suoi motori intelligenti e dei sistemi di automazione robotica della filiale EGS Automation. Una gamma olistica significa anche passare dal livello di campo al cloud con un'unica fonte, ovvero dall'implementazione della logica di controllo con MotionCode per le soluzioni per motori al monitoraggio delle condizioni e alla manutenzione predittiva utilizzando servizi cloud per motori, robot e sistemi completi.



Scaricamento

 

Assistenza e supporto

Nexofox Contact

Assistenza e supporto

Per ulteriori informazioni o per discutere la vostra idea di progetto, contattateci direttamente:

support.nexofox@ametek.com

Ultime notizie

nexofox – Solutions for Smart Access Gates

With MotionCode, nexoLink, and Smart Diagnostics, Dunkermotoren's digital brand nexofox offers solutions for implementing smart access control devices. MotionCode is a central, decentralized component designed from the ground up. Each motor installed in an access control device (referred to as an "access gate") can be programmed with its own individual MotionCode, enabling features like hit detection without any additional hardware. The drive solution utilizes motor currents to evaluate whether a gate is currently blocked. Another benefit of MotionCode is the option to replace mechanical functions with software. For the protection of the mechanics, brakes with lower braking torque or slipping clutches are sometimes provided, so that in the case of excessive force on a closed gate, damage can be avoided. The smart Dunkermotoren in conjunction with MotionCode simulate the function of a slipping clutch. This allows the protection of the mechanics in the absence of hardware components without compromising safety. NexoLink is the second central component for smart access gates. It easily integrates into any IIoT ecosystem, allowing for monitoring and analysis of all relevant motor data. If no monitoring solution is currently in place, individual dashboards and alarms can be configured thanks to Smart Diagnostics. Motors send alarms themselves when technician attention is required, enabling more efficient maintenance planning.

04/24/2024

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.   Downloads: 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. Downloads: Predictive Maintenance à la nexofox (PDF)

03/27/2024