IoT Failure Aggregation for Autonomous Deployment Remediation
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Solution Overview
Problem
Existing IoT device deployments require human intervention for maintenance and remediation when failures occur, disrupting the remote operation and convenience of the system.
Innovation Solution
Implementing a failure aggregator within the network of IoT devices to catalog and manage device failures, allowing for non-human remediation through tools like drones and device redundancies, and generating network maps to reroute operations around failed devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human intervention is used for maintenance and remediation when failures occur, then device failures can be addressed, but remote operation and convenience are disrupted
Solution Approach 1:
The system implements self-service through automated failure detection, cataloging, and remediation processes. The failure aggregator autonomously monitors device states, identifies failures, and coordinates remediation actions without requiring human intervention, allowing the system to serve itself in managing failures while maintaining remote operability
Solution Approach 2:
The failure aggregator acts as an intermediary between devices and human operators. It collects failure data from multiple devices, processes this information, and manages remediation coordination, thereby eliminating the need for direct human intervention while ensuring reliable failure management through automated intermediary processing
2Extent of automation
If a failure aggregator is implemented to autonomously manage failures, then remote operation is maintained, but system complexity increases
Solution Approach 1:
The failure aggregator is designed as a multi-functional component that performs failure detection, data cataloging, analysis, and remediation coordination within a single system. This universal approach consolidates multiple functions into one device, achieving autonomous failure management while limiting complexity growth through functional integration rather than proliferation of separate components
Solution Approach 2:
The system merges failure detection, monitoring, and remediation functions into a unified failure aggregator. By combining these previously separate functions into a single integrated system, the patent achieves high extent of automation while managing complexity through consolidation rather than multiplication of system components
Data Source
AI summary
Methods and systems for managing operation of a deployment are disclosed. The deployment may be managed by monitoring the failures of operation of devices within the deployment. The failures of operation may be monitored through utilization of a failure aggregator. The failure aggregator may catalogue notices of failures of operations for devices within the deployment. Notices of failures of operation may be received by the failure aggregator from devices that may experience a failure of operation. Notices of failure of operation may also be received from devices operably connected to other devices that may experience failures of operation. In response to failures of operation, the failure aggregator may generate network maps of operable devices and initiate remediation of devices that may experience failures of operation.