A Study of Remote Updating Techniques for Data from End-side Devices of the Hongmeng Operating System

In the context of remote updating of device data on the edge of the HarmonyOS operating system, traditional methods adopt a simple task queuing mechanism, without considering the priority differences of update tasks for different devices and the real-time status of different communication links. This makes it impossible to process update requests from multiple devices simultaneously, delaying the update of critical devices and further reducing the overall update efficiency. Therefore, design and analyze remote update technology for device data on the HarmonyOS operating system. Based on the current update requirements, the update communication method was first clarified, adopting a multi order approach to improve update processing efficiency and achieve remote connection for multiple orders. On this basis, a remote dynamic update model for device data on the HarmonyOS operating system was constructed, and error handling and rollback correction were used to complete the update. The test results show that compared with the secure data transmission and update method from unmanned devices to devices with bodies under machine learning algorithms, as well as the new method of RSS data device localization considering correlation, the remote update technology for device data on the HarmonyOS operating system side has been designed. The final average update time is shorter, indicating that the update processing task is completed faster, and the update is highly targeted and has practical application value.