Model distribution application design method and system based on edge computing gateway

Abstract

The invention provides a model distribution application design method and system based on an edge computing gateway. According to the scheme, the method comprises the following steps: selecting a preset template according to an equipment model and an application scene through a human-computer interaction interface, and inputting equipment configuration parameters according to the preset template; performing information processing on the general model by using an encryption algorithm; performing information processing of the specific model by using an encryption algorithm; judging whether the edge computing gateway service equipment has an equipment active acquisition model request or not, and deploying and updating an equipment computing model through the edge equipment; acquiring model configuration parameters, judging an application scene of the equipment, and performing parameter adjustment on the target model; and judging whether the edge computing gateway service equipment has an abnormal state or not, and feeding back the obtained abnormal state to the cloud management service equipment. According to the scheme, the model of the server side is obtained in an instruction mode, the upper computer terminal equipment is physically connected with the edge end equipment, and the upper computer terminal equipment carries out model deployment on the edge end equipment.

Description

technical field [0001] The present invention relates to the technical field of edge computing, and more specifically, to an edge computing gateway-based model distribution application design method and system. Background technique [0002] With the rapid development of the Internet of Things, the Internet of Everything has become a future development trend, and embedded node devices will show a large increase. The data center on the traditional cloud side interacts with tens of thousands of IoT nodes, which not only has huge computing resource overhead, but also has network congestion, which is more obvious during peak hours. Although 5G wireless mobile communication with high bandwidth is becoming popular, some emerging application scenarios, such as driverless driving, safety monitoring, roadside sensing data, etc., require low latency and high reliability. Traditional nodes to the cloud, The needs of these application services cannot be met. Therefore, various industrie...

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Problems solved by technology

Since emerging application services require customization of specific scenario models, or large-scale deployment of general scenario models, as well as parameter quantization and other configurations, a specific method is urgently needed to solve the difficulty of frequent replacement and deployment. question

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