Proactive maintenance in an autonomous mobile robot
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Solution Overview
Problem
Autonomous mobile cleaning robots require frequent maintenance, with component failures leading to downtime, as replacement parts can be time-consuming to obtain and may not be readily available, impacting cleaning performance.
Innovation Solution
Incorporating systems that analyze factory test data, fleet data, and robot telemetry to predict maintenance needs, allowing for proactive replacement of components by transmitting maintenance recommendations to users, thereby reducing downtime and ensuring continuous operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If component replacement is performed reactively after failure, then cleaning performance is maintained, but robot downtime increases due to time-consuming part acquisition
Solution Approach 1:
The system performs preliminary maintenance actions by predicting component failures before they occur. The processing circuitry analyzes operational data to identify components likely to fail, transmits maintenance recommendations to the user device, and enables users to order replacement parts in advance, thus avoiding downtime when failure actually occurs.
2Loss of time
If proactive maintenance is implemented through predictive systems, then robot downtime is reduced, but system complexity increases due to additional sensors and data processing requirements
Solution Approach 1:
The robot performs self-diagnosis and self-monitoring of its own components. The processing circuitry autonomously analyzes operational data from the robot's existing sensors and systems to predict maintenance needs, eliminating the need for external monitoring systems while reducing downtime.
3Loss of time
If maintenance recommendations are transmitted to user devices, then users can proactively order replacement parts, but communication infrastructure requirements increase
Solution Approach 1:
The processing circuitry uses the robot's existing communication interfaces, which are already part of the autonomous navigation and control system, to transmit maintenance recommendations. This multi-functional use of existing communication infrastructure avoids adding dedicated communication hardware while enabling proactive part ordering.
Data Source
AI summary
A mobile cleaning robot system can include including a mobile cleaning robot, processing circuitry, and memory circuitry. The memory circuitry can include instructions, which when executed by the processing circuitry, can cause the processing circuitry to perform operations to receive a maintenance indication from a remote device indicative of whether maintenance on the mobile cleaning robot is recommended, where the maintenance indication can be based at least in part on factory test data. The processing circuitry can also transmit a maintenance instruction to a user device when maintenance on the mobile cleaning robot is recommended.