NXP Semiconductors had three patents in cloud during Q1 2024. NXP Semiconductors NV has developed a layered architecture for managing the health of electronic systems, utilizing predictive data analytics to improve prediction of the system’s health condition. They have also introduced a method and apparatus for a multi-processor SoC with dynamic runtime isolation barriers for switching between software partitions. Additionally, they have disclosed a method and apparatus for a multi-processor system on a chip with dynamic runtime virtualization isolation barriers for controlling access to system-on-chip resources. GlobalData’s report on NXP Semiconductors gives a 360-degree view of the company including its patenting strategy. Buy the report here.

NXP Semiconductors had no grants in cloud as a theme in Q1 2024.

Recent Patents

Application: Layered architecture for managing health of an electronic system and methods for layered health management (Patent ID: US20240020186A1)

The patent filed by NXP Semiconductors NV describes a layered architecture for managing the health of an electronic system. The system comprises multiple health subsystems that receive health information from health monitors connected to various components of the electronic system. This health information is then passed between different layers of health subsystems, with predictive data analytics used to determine the overall health condition of the electronic system. Based on this analysis, the health policy of the system is updated to enhance the prediction of its health condition.

The method outlined in the patent involves sending health information from each health monitor to corresponding health subsystems in different layers of the electronic system. These layers are organized based on the type of components they monitor, with each layer responsible for analyzing and passing on health information to the next layer. The system also includes a cloud-based health subsystem that receives information from multiple electronic systems of the same type, allowing for the updating of health policies based on a broader dataset. Additionally, the system can perform operational requests such as powering off components or changing system modes based on the health condition determined by the top layer health subsystem.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.