Vacuum Pump Service Scheduling Using Cloud Parameter Feedback
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Solution Overview
Problem
Existing vacuum pump maintenance schedules are inflexible and often result in unnecessary costs and burdens due to regular servicing regardless of specific usage conditions, which can be mitigated by determining service events based on pump parameters using a cloud server and look-up tables.
Innovation Solution
A method involving a control unit in the vacuum pump transmitting parameters to a cloud server for determining service events using a look-up table that correlates parameters with maintenance schedules, allowing flexible interval calculation and reducing unnecessary services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If regular maintenance schedules are implemented for vacuum pumps, then reliability is improved, but loss of time and unnecessary costs increase due to servicing regardless of specific usage conditions
Solution Approach 1:
The maintenance schedule transitions from static (fixed intervals) to dynamic (usage-based intervals). The system continuously monitors pump parameters such as running hours, start-stop cycles, and operational load, then dynamically adjusts maintenance timing based on actual usage patterns. This allows extending maintenance intervals when usage is light while ensuring timely service when usage intensifies, resolving the contradiction between maintaining reliability and reducing unnecessary maintenance time loss.
Solution Approach 2:
The system implements feedback by continuously monitoring pump operational parameters and using this information to determine optimal maintenance timing. Sensors track running hours, cycle counts, and performance metrics, feeding this data back to the control system which then schedules maintenance based on actual pump condition and usage history rather than predetermined intervals, eliminating unnecessary maintenance while ensuring reliability.
2Reliability
If regular maintenance schedules are implemented for vacuum pumps, then reliability is improved, but costs increase due to unnecessary services
Solution Approach 1:
The maintenance scheduling system dynamically adjusts service intervals based on actual pump usage and operational conditions. By monitoring parameters such as running hours, start-stop cycles, and operational load, the system extends maintenance intervals during periods of light usage while ensuring timely service during intensive operation, thereby reducing unnecessary maintenance costs while maintaining reliability.
Solution Approach 2:
The system changes the parameter basis for maintenance scheduling from fixed time intervals to usage-based parameters. By tracking operational metrics such as total running hours, number of start-stop cycles, and peak load conditions, the system transforms maintenance triggering from a time-based parameter to a usage-based parameter, reducing costs by eliminating services performed on pumps that have not reached actual wear thresholds.
3Adaptability or versatility
If usage-based maintenance scheduling is implemented, then flexibility and cost reduction are improved, but device complexity increases due to monitoring and data processing requirements
Solution Approach 1:
The control system performs multiple functions: it monitors pump operational parameters, tracks usage patterns, determines maintenance timing, and communicates with external systems. By consolidating these functions into the existing vacuum pump controller rather than adding separate dedicated systems, the patent achieves usage-based maintenance scheduling flexibility while minimizing the increase in device complexity through multi-functionality.
Solution Approach 2:
The system uses an intermediary approach by implementing a communication module that bridges the vacuum pump and external monitoring/scheduling systems. This intermediary layer handles the complexity of data collection, transmission, and processing, allowing the core pump system to remain relatively simple while still achieving flexible usage-based maintenance scheduling through external data analysis and scheduling algorithms.
Data Source
AI summary
Method for determining a service event of a vacuum pump with the steps: Acquiring one or more pump parameters from the vacuum pump by a control unit of the vacuum pump; Transmitting, by the control unit, the one or more pump parameters to the cloud server; Determining, by the cloud server, one or more service events for the vacuum pump on the basis of the one or more pump parameters, where-in determining the service event is performed by a look-up table stored in the cloud server comprising a correspondence between the one or more pump parameters and the service event.