Household appliance safety detection method and device, equipment and storage medium

The invention provides a household appliance safety detection method, device and equipment and a storage medium, and the method comprises the steps: collecting the historical operation data and timestamps of an electric appliance, and obtaining key index feature data through a feature extraction technology; these features are then used for an index prediction model to generate first prediction data for the future state. And a support vector data description algorithm and a central optimization algorithm are utilized, a minimum hypersphere model is constructed based on the prediction data, the model can distinguish normal and abnormal operation states, and health assessment is carried out on the household appliances in the normal state. When real-time index data is received, the method performs instant anomaly detection and health assessment on the electric appliance by comparing the minimum hypersphere model, and outputs a real-time safety detection result. According to the method, the safety monitoring capab