IoT Server State Prediction for Proactive Malfunction Alerts
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Solution Overview
Problem
Users face inconvenience due to the lack of proactive notification for potential malfunctions in IoT devices, leading to inadequate responses when issues arise, as they are only informed after a problem occurs rather than before.
Innovation Solution
A server and electronic device system that analyzes information from IoT devices and uses a state diagram to predict problematic situations, sending notifications to users before issues occur, allowing them to take preventive actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If only result notification is provided after problem occurs in IoT devices, then the notification system is simple, but the user can only take post action and feels inconvenience
Solution Approach 1:
The system performs preliminary analysis of device states and predicts potential problems before they occur. By analyzing current device information against predefined state diagrams and prediction models, the system notifies users of expected problematic situations in advance, allowing them to take preventive actions before actual malfunctions occur.
Solution Approach 2:
The notification system is segmented into multiple functional modules: an information receiver that collects device data, a state determiner that identifies current device states, a predictor that forecasts potential problems, and a notifier that sends alerts. This modular architecture enables advanced predictive functionality while maintaining manageable system complexity.
2Reliability
If state analysis and prediction system is implemented, then user receives timely notifications, but the system complexity increases
Solution Approach 1:
The system pre-establishes state diagrams that define normal and abnormal device states, along with prediction models that correlate device information with potential failures. By having these analytical frameworks prepared in advance, the system can quickly and accurately assess device states and predict problems without requiring complex real-time computation during operation.
Solution Approach 2:
The server acts as an intermediary between IoT devices and users, performing all complex state analysis and prediction computations centrally. This mediator approach allows sophisticated reliability assessment while keeping individual device complexity low, as the heavy analytical workload is offloaded to the server infrastructure.
3Productivity
If information from multiple IoT devices is collected and analyzed, then comprehensive monitoring is achieved, but the data processing complexity increases
Solution Approach 1:
The server implements a universal data processing framework that handles multiple device types through a common architecture. The state diagram approach provides a unified method for representing device states across different IoT devices, and the prediction model serves as a multi-functional tool that can forecast various types of failures. This universal approach enables comprehensive monitoring of multiple devices while avoiding the need for separate complex processing systems for each device type.
Data Source
AI summary
Various examples of the present invention provide a server for providing information of an electronic device, and the server can comprise: a communication unit for receiving, from at least one first electronic device, at least one piece of information of the first electronic device; and a control unit for determining, from the received information, a current state among a plurality of states preset for the first electronic device, and controlling the first electronic device such that state prediction information of the first electronic device is transmitted to a second electronic device if the determined current state satisfies a preset notification condition on a state diagram in which a relationship among the plurality of states is set. Additionally, other examples could be possible besides the various examples of the present invention.