An edge-computing-based electrical appliance accessory configuration method

Abstract

The application relates to the technical field of Internet of Things edge intelligence, and discloses an electric appliance accessory configuration method based on edge computing, which comprises the following steps: an edge computing device receives a user request, performs layer-by-layer screening in a local accessory library, calculates a total matching degree score by using linear normalization, Boolean weighted matching and AHP method, generates an order in combination with user historical preferences, and then issues the order through MQTT; a user terminal calls Unity3D+PBR rendering to display a virtual assembly effect; the user selects a target accessory; the edge side immediately completes hardware interface detection and parameter initialization, predicts a running state through ARIMA, optimizes parameters, and finally sends back a configuration state to the terminal; and the whole process log is encrypted and uploaded to the cloud. Through calculation sinking, personalized and accurate recommendation, visual zero fault and parameter self-optimization, the electric appliance accessory failure rate and configuration delay are significantly reduced, and the application can be widely used for intelligent and rapid configuration of household appliance, industrial and data center accessories.

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