IoT Machine Maintenance Planning for Minimal Downtime
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Solution Overview
Problem
Conventional maintenance systems for IoT machines often result in unnecessary downtime and delays, as they require shutting down the entire machine for maintenance, even if only a small part needs attention, without considering the machine's operational schedule or availability of alternative functionalities.
Innovation Solution
A computer-implemented method to create optimized maintenance plans by determining the minimum functionalities required for an activity, identifying machines capable of supporting these functionalities, and determining the minimal level of maintenance needed, allowing for targeted maintenance while other functionalities can continue or be transferred to other machines, thereby reducing downtime.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional maintenance systems shut down the entire machine for maintenance, then maintenance can be performed on any part of the machine, but machine downtime increases and productivity decreases
Solution Approach 1:
The patent segments the machine into multiple independent functional modules (e.g., processing module, transportation module, storage module). Each module can be maintained independently while other modules continue to operate. This is achieved by identifying discrete functional components that can be isolated and serviced without shutting down the entire machine, thereby reducing downtime while maintaining comprehensive maintenance coverage.
Solution Approach 2:
The patent extracts the maintenance function from the operational flow by implementing hot-swappable components and modular maintenance units. Critical components can be removed and replaced or serviced without stopping the machine, allowing maintenance to be performed on extracted parts while the main system continues operating, thus eliminating the trade-off between maintenance completeness and productivity.
2Reliability
If conventional maintenance systems schedule maintenance proactively, then machine failures can be prevented, but operations may be delayed or cancelled due to unnecessary shutdowns
Solution Approach 1:
The patent implements dynamic maintenance scheduling that adapts to real-time operational conditions and machine state. The system continuously monitors component health and adjusts maintenance timing based on actual wear patterns and operational intensity. This dynamic approach allows maintenance to be performed when it is most effective while minimizing disruptions to operations, preventing both failures and unnecessary delays.
Solution Approach 2:
The patent performs preliminary diagnostics and condition assessment to determine the actual maintenance needs before scheduling maintenance activities. By assessing the true state of machine components in advance, the system can schedule maintenance only when necessary, preventing failures while avoiding unnecessary shutdowns that would cause operational delays.
3Reliability
If conventional maintenance systems perform comprehensive maintenance, then all machine components are serviced, but the complexity of maintenance planning increases
Solution Approach 1:
The patent segments the maintenance planning process into module-specific maintenance plans. Each functional module has its own maintenance requirements, schedule, and procedures defined independently. This segmentation simplifies the overall maintenance planning complexity by breaking down the comprehensive maintenance task into manageable, independent units while ensuring all components are serviced according to their specific needs.
Solution Approach 2:
The patent applies local quality maintenance where different maintenance strategies and intensities are applied to different machine modules based on their specific requirements, operational conditions, and criticality. This allows comprehensive maintenance to be performed on critical components with higher precision while using lighter maintenance approaches on less critical components, reducing overall planning complexity while maintaining high machine reliability.
Data Source
AI summary
A computer-implemented method, system, and computer program product to create optimized maintenance plans to reduce machine downtime for IoT machine. The method may include determining one or more sets of minimum functionalities required to perform an activity. The method may also include determining machines capable of supporting the one or more sets of minimum functionalities. The method may also include determining a minimal level of maintenance for the machines. The method may also include generating a maintenance plan for one or more of the machines based on the minimal level of maintenance for the machines.