Treffer: Reibungslos von der Entwicklung zur Fertigung.
Weitere Informationen
The company TQ offers solutions and support for users who want to further develop their Raspberry Pi prototypes into robust and long-term available systems. For this purpose, there is the professional maker board MBa8MP-RAS314, which is also suitable for industrial serial use. TQ also offers the operating system "Armbian - Linux for Arm development boards" to facilitate the porting to an embedded system from TQ. The mainboard MBa8MP-RAS314 is based on the NXP-i.MX-8-Plus processor and offers numerous interfaces and functions for various application areas. The MBa8MP-RAS314 is an embedded system suitable for demanding applications. It offers testing and debugging functions as well as various interfaces for debugging and programming. The system can be operated with the Armbian distribution or the Yocto distribution, the latter allowing for greater control over the Linux system. To meet the increased computing performance requirements, scalable embedded modules can be used, which, however, can lead to higher power consumption and heat generation. The MBa8MP-RAS314 offers various cooling options to solve this problem. Armbian provides a build system to customize the Linux kernel and integrate own development boards. There are various configuration options and instructions for creating images for the MBa8MP-RAS314. [Extracted from the article]
Für Anwender, die auf Basis des Raspberry Pi ihren ersten Prototypen entwickelt haben und jetzt einen schnellen Übergang zu einem robusten und langzeitverfügbaren System wünschen, bietet TQ Lösungen und Unterstützung an. So gibt es beispielsweise mit dem MBa8MP-RAS314 ein neues, professionelles Maker-Board, das sich auch für den industriellen Serieneinsatz und verschiedene Einsatzbereiche eignet. [ABSTRACT FROM AUTHOR]
Copyright of Elektronik Industrie is the property of Dokumentations und Informationszentrum (DIZ) Munchen GmbH and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)