IoT Device Error Diagnosis via Cloud Intermediary and Data Agents
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Solution Overview
Problem
Limited resource IoT devices face challenges in diagnosing and communicating errors due to limited computational and software resources, generating large amounts of data but lacking the ability to distinguish relevant failure information from normal operation data, making it difficult for manufacturers to troubleshoot and update these devices efficiently.
Innovation Solution
A technology that communicates with IoT devices to gather error-related information, using data agents to transfer log files and create snapshots of device memory, allowing for error analysis and software updates without requiring significant processing power or memory on the device, and enables polling for abnormal conditions to detect failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If IoT devices have limited computational and software resources, then device cost and power consumption are reduced, but the ability to diagnose and communicate errors is worsened
Solution Approach 1:
A cloud-based intermediary system acts as a mediator between IoT devices and manufacturers. The system includes a cloud server that receives device data, processes error information, and provides diagnostic capabilities that the limited-resource devices themselves cannot provide. This intermediary handles the computational burden of error analysis while the devices only perform simple data collection and transmission.
2Quantity of substance
If IoT devices generate large amounts of data, then monitoring capability is improved, but the ability to distinguish relevant failure information from normal operation data is worsened
Solution Approach 1:
The system extracts only the relevant error information from the large volume of operational data. Error detection modules identify specific error codes and abnormal patterns, then extract only this critical information for transmission to the cloud. Normal operational data is filtered out, leaving only the essential failure information that needs analysis.
Solution Approach 2:
The cloud-based intermediary system performs advanced data processing and pattern recognition on the received data streams. It distinguishes between normal operational variations and actual error conditions by comparing against known error signatures and using statistical analysis, thereby separating signal from noise.
3Reliability
If manufacturers need to troubleshoot and update IoT devices, then device reliability is improved, but the complexity of remote diagnostics and software deployment is worsened
Solution Approach 1:
The system enables self-service capabilities where devices automatically report their own status, error conditions, and software version information without requiring manual intervention. Error detection modules continuously monitor device health and automatically initiate diagnostic procedures, allowing the system to serve itself in terms of basic monitoring and reporting functions.
Solution Approach 2:
The cloud intermediary simplifies remote diagnostics by providing a unified interface for manufacturers to access device information, view error logs, and deploy software updates. Instead of dealing with complex individual device connections and protocols, manufacturers interact with a standardized cloud platform that handles all device communications and update distributions.
Data Source
AI summary
A method and system for communicating with IoT devices to gather information related to device failure or error(s) is disclosed. The system receives log files from an IoT device (e.g., a smart refrigerator) that recently failed. The system determines which log files the IoT device created before and/or after a failure. After gathering this information, the system stores the information in a database, sends it to the IoT device manufacturer, or sends it to a cloud provider. The system can also send the failure-related information to the IoT device-related entities (e.g., IoT device manufacturers), and the entity uses this information to troubleshoot the failure and send a fix or software update to the IoT device.