Mobile Endpoint Device Sensor Data Collection for Failure Analysis
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Solution Overview
Problem
Devices often malfunction or operate inefficiently due to unmonitored environmental conditions, and those without communication connections to management services remain isolated, making troubleshooting and management challenging.
Innovation Solution
A method and apparatus that utilize mobile endpoint devices to collect and transmit operational sensor data, including time stamps and device IDs, to a management service for analysis when failures occur, enabling correlation of environmental conditions with device failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If devices operate without communication connection to management service, then device autonomy is improved, but monitoring capability deteriorates
Solution Approach 1:
The system performs preliminary actions by collecting and storing sensor data locally on the device before any failure occurs. Environmental conditions, operational parameters, and diagnostic information are continuously recorded and cached, ensuring that monitoring data is already available when needed for troubleshooting, thus maintaining both autonomy and monitoring capability.
2Device complexity
If environmental conditions are not monitored, then device complexity is reduced, but troubleshooting effectiveness deteriorates
Solution Approach 1:
The system introduces an intermediary component - a mobile computing device that acts as a bridge between the monitored device and the user. This mobile device collects sensor data, performs preliminary analysis, and presents troubleshooting information in an accessible format, thereby maintaining low complexity while significantly improving troubleshooting effectiveness through enhanced detection and measurement capabilities.
3Reliability
If sensor data collection is implemented, then failure analysis capability is improved, but data management complexity increases
Solution Approach 1:
The system extracts and separates data management functions into distinct components. Sensor data collection, storage, and preliminary analysis are handled by automated systems and mobile devices, while human operators only need to review summarized findings and take corrective actions. This extraction of complex data management tasks from the main system maintains reliability while reducing overall data management complexity.
Data Source
AI summary
A method, non-transitory computer readable medium and apparatus for analyzing operational sensor data of a device collected by a mobile endpoint device operating with the device are disclosed. For example, the method includes receiving the operational sensor data, a time stamp, a location of the device and a device identification (ID) from the mobile endpoint device, wherein the operational sensor data is collected by the mobile endpoint device from the device when the mobile endpoint device initiates a communication session with the device and transmitting the operational sensor data to a management service, wherein the operational sensor data is analyzed to determine a cause of a failure of the device when the device fails.