Household appliance abnormity diagnosis method and system, server and household appliance

Abstract

The invention provides a household appliance abnormity diagnosis method and system, a server and a household appliance. The household appliance abnormity diagnosis method comprises the following steps: an operation instruction is sent to the household appliance, so that the household appliance executes the operation instruction so as to generate result data; the result data of the household appliance is received; whether the household appliance is abnormal is diagnosed according to the result data and a preset diagnosis algorithm. According to the technical scheme, abnormity of the household appliance can be diagnosed more rapidly and accurately, more accurate household appliance maintenance information can be further provided for a user, the satisfaction degree of maintenance service for the user is increased, the diagnosis algorithm can be updated on line, so that the service quality is improved while the maintenance cost is reduced, and the user experience is improved.

Description

technical field [0001] The present invention relates to the technical field of household appliances, in particular to a method and system for diagnosing abnormality of household appliances, a server and a household appliance. Background technique [0002] With the development of wired / wireless communication technology, users' demand for smart products is increasing day by day considering the convenience of use of products. The functions of smart products are becoming increasingly complex and diverse, and after-sales services such as fault diagnosis of smart products have become important issues. [0003] The specific process of executing the abnormality diagnosis of the existing household appliance abnormality diagnosis system of the smart kitchen system is as follows: [0004] (1) The control module in the "server" controls the startup of the diagnosis mode, and sends a diagnosis command to the "first diagnosis module" on the server side. [0005] (2) The "first diagnosti...

AI Technical Summary

Problems solved by technology

[0012] It can be seen that the existing diagnostic system only uses the pre-programmed diagnostic module built in the MCU to diagnose the abnormality of household appliances, so it cannot diagnose whether the functions not included in the pre-programmed diagnostic module at the initial stage of product development are abnormal.

Moreover, once the diagnostic module is started, all pre-programmed codes need to be executed, so it takes a certain amount of time to get the diagnostic results

In addition, the existing diagnostic module is built into the MCU. When the diagnostic algorithm needs to be updated, the after-sales service personnel need to personally visit each user’s home to update the firmware of the diagnostic program built into the MCU. In this way, manpower and capital are increased. investment and reduce customer perception

[0013] In summary, the existing home appliance abnormality diagnosis system of the smart kitchen system has problems such as single diagnosis basis, low accuracy, long diagnosis running time, and difficulty in updating the diagnosis algorithm.

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