Cloud Fault Detection for Smart Appliance Maintenance Routing
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Solution Overview
Problem
Smart household appliances often malfunction due to user error or hardware/software defects, leading to delayed fault detection and cumbersome maintenance processes, which affect user experience and quality of life.
Innovation Solution
A cloud server and value-added service implementation method that predicts faults in smart appliances, provides fault information to users, and offers maintenance and repair services by connecting user equipment to a control device via a wireless network, enabling real-time monitoring and remote maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fault detection is performed manually by users, then no additional detection equipment is needed, but users cannot determine dysfunction until the appliance is completely unable to work
Solution Approach 1:
The patent introduces a cloud server as an intermediary that receives appliance data, performs fault analysis, and provides diagnostic information to users. This mediator handles the complex detection and analysis tasks remotely, allowing simple appliances to gain advanced fault detection capabilities without adding complex local circuitry.
2Ease of operation
If maintenance is performed by waiting for professional service, then no specialized maintenance equipment is needed by users, but the maintenance process is cumbersome and consumes large amounts of time
Solution Approach 1:
The system performs preliminary fault detection and diagnosis before actual maintenance is needed. By continuously monitoring appliance parameters and identifying potential issues early, the system enables proactive maintenance scheduling, reducing the time users spend waiting for service and allowing for planned rather than reactive maintenance.
Solution Approach 2:
The patent implements a feedback loop where appliance data is continuously collected, analyzed by the cloud server, and returned as diagnostic information to users. This real-time feedback mechanism keeps users informed about appliance status and maintenance needs, enabling them to take timely action without unnecessary waiting periods.
Data Source
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AI summary
Embodiments of the present invention relate to a value-added service implementation method and apparatus, and a cloud server. The method includes: obtaining, by a cloud server, a device attribute parameter of at least one user equipment, where the device attribute parameter includes a device working status parameter; determining, by the cloud server, faulty user equipment from the at least one user equipment based on the device working status parameter; sending, by the cloud server, a notification message to a control device corresponding to the faulty user equipment, where the notification message includes fault information of the faulty user equipment, so that the control device displays the fault information, and receives a selection operation that is performed by a user based on the fault information; receiving, by the cloud server, a first feedback message that is sent by the control device based on the selection operation; and sending, by the cloud server, the fault information and attribute information of the user to a maintenance server based on the first feedback message.