Remote Embedded Device Update Platform for Automated Maintenance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies face challenges in remotely updating embedded devices efficiently, as they often require physical intervention and are not designed for real-time or predictive maintenance, leading to delayed issue resolution and increased costs.
Innovation Solution
The Remote Embedded Device Update Platform (REDUP) system, which utilizes a cloud-based architecture to manage and update connected devices via network connectivity, enabling real-time data collection, analysis, and automated software updates, while also predicting and preventing issues by segmenting devices and deploying updates based on telemetry data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If physical connection and manual updating is used, then device update can be performed, but it requires technician intervention and increases maintenance time and cost
Solution Approach 1:
The system enables devices to automatically perform self-diagnosis and self-updating through remote server communication. The device autonomously detects component status, retrieves update information, and executes updates without requiring technician physical intervention, thus eliminating manual operation steps and reducing maintenance time.
Solution Approach 2:
The patent replaces the mechanical physical connection method (technician physically connecting to device) with an electronic/communication-based system. The update platform uses network communication protocols to transmit diagnostic data and update packages remotely, substituting mechanical intervention with electronic information exchange.
2Reliability
If traditional update methods are used, then device updates can be performed, but they are not designed for real-time or predictive maintenance
Solution Approach 1:
The system continuously monitors device component status in real-time and performs predictive analysis before failures occur. By detecting potential issues early through telemetry data analysis and component status tracking, the system enables preventive maintenance actions to be taken before actual failures happen, improving reliability and reducing downtime.
Solution Approach 2:
The patent implements a closed-loop feedback system where device telemetry data is continuously collected, analyzed by the update platform, and used to generate update decisions. The system feedback mechanism allows real-time adjustment of maintenance strategies based on actual device condition, enabling dynamic optimization of reliability and response time.
3Extent of automation
If remote update platform is implemented, then automated updates and predictive maintenance are enabled, but system complexity increases
Solution Approach 1:
The update platform is designed as a universal multi-functional system that handles device registration, telemetry data collection, component status detection, update package management, and automated deployment across diverse device types. By consolidating multiple functions into a single integrated platform, the system manages complexity through functional consolidation rather than proliferation of separate systems.
Solution Approach 2:
The patent introduces an update platform server as an intermediary layer between devices and the update management infrastructure. This intermediary handles the complexity of communication protocols, data validation, update package distribution, and device coordination, shielding individual devices from complex system-level operations while enabling high-level automation.
Data Source
AI summary
Device component status detection and illustration apparatuses, methods, and systems determine and generate visualizations of updates timelines indicating device components associated with a remote connected device at different times. A device component status detection and illustration apparatus may include a memory and processor with instructions to: obtain device selection parameters, determine one or more remote connected devices that satisfy the device selection parameters, and identify a remote connected device selected from one or more remote connected devices by a user. The instructions may further be executed to generate visualizations of updates timelines associated with the remote connected device, including information regarding device components associated with the identified remote connected device as of selected update times. This allows the apparatus to present information regarding the status of a particular device at different points in time.