OTA upgrading method for MCU firmware

Abstract

The invention discloses an OTA upgrading method for MCU firmware. The OTA upgrading method comprises the following steps of: S1, packaging software into firmware; dividing all firmware into upgradingurgency levels, wherein each firmware is composed of a plurality of firmware blocks; setting a configuration information storage firmware in the firmware block, and storing the self information of allfirmware blocks in the configuration information storage firmware; S2, upgrading firmware from high to low according to urgency levels, detecting the equipment where the firmware is located, judgingwhether the current state of the equipment is suitable for upgrading or not, and if not, waiting to a suitable state; S3, if the equipment comparison meets the requirements, performing upgrading; andS4, after upgrading is completed, updating related information in the configuration information storage firmware of the server to the equipment. According to the invention, the upgrading sequence is divided according to the upgrading urgency, so that the network bandwidth and hardware requirements of the server can be remarkably reduced; and the corresponding firmware block area is selectively downloaded according to the configuration area information in the comparison terminal and the server, so that bandwidth waste and invalid data transmission in whole packet downloading are avoided.

Description

technical field [0001] The invention belongs to the technical field of software, and relates to a firmware upgrading method, in particular to an MCU firmware OTA upgrading method. Background technique [0002] The terminal AI chip is mainly used for reasoning, that is, using the trained model and using data to reason out various conclusions. That is, the process of using the existing neural network model to perform calculations and using new input data to obtain correct conclusions at one time. [0003] With the rapid development of artificial intelligence, the rise of edge computing and the Internet of Things, the requirements for terminal equipment are getting higher and higher. Device functions based on terminal AI chips are more intelligent, scenario-based, and fragmented and personalized. Whether it is CNN, RNN, DNN and other models, it is necessary to iterate the model according to the algorithm optimization to achieve the purpose of providing users with a better exp...

AI Technical Summary

Problems solved by technology

[0010] (3) The operating status of each device terminal. For example, for a device with a voice AI chip, music is currently playing, and upgrading at this time will lead to poor user experience

[0011] Second. The current general OTA upgrade method scheme adopts the overall and differential package upgrade

For terminal AI chips, it will increase the cost

[0012] Third. The firmware is not divided into blocks, resulting in the need to reload the backup area firmware if there is an error writing FLASH

[0013] 4. Failure to back up selectively according to needs. At present, the traditional method is to fully back up all FLASH, resulting in low utilization of FLASH. For example, if 16M FLASH is fully backed up, the actual available area may only be 8M

Images