Building Equipment Predictive Maintenance for Cost-Efficiency Tradeoffs
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Solution Overview
Problem
Determining an appropriate maintenance strategy for building equipment to minimize total life cycle cost is challenging due to the trade-off between reduced operating costs from improved efficiency and increased maintenance costs.
Innovation Solution
A model predictive maintenance (MPM) system that estimates the degradation state of building equipment using a degradation impact model, predicts resource consumption, and generates a maintenance schedule to optimize both operating and maintenance costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If maintenance is performed frequently, then operating cost is reduced due to improved equipment efficiency, but maintenance cost increases
Solution Approach 1:
The system performs preliminary estimation of equipment degradation state and predicts future resource consumption before maintenance is actually needed. By using the degradation impact model to forecast when equipment will reach unacceptable efficiency levels, maintenance can be scheduled in advance at optimal times, preventing both premature maintenance and delayed maintenance, thus balancing operating cost and maintenance cost
Solution Approach 2:
The system continuously monitors equipment operation and updates the degradation state estimation based on actual performance data. This feedback loop allows the system to adjust maintenance schedules dynamically, comparing predicted resource consumption against actual consumption to determine when maintenance will become economically beneficial, thereby optimizing the trade-off between operating cost and maintenance cost
2Quantity of substance
If maintenance is performed infrequently, then maintenance cost is reduced, but operating cost increases due to equipment degradation
Solution Approach 1:
The system performs preliminary prediction of resource consumption based on current degradation state and projected future degradation. By calculating when equipment efficiency will drop to a point where maintenance becomes economically justified, the system可以避免过早维护造成的资源浪费，同时防止维护延迟导致的operating cost增加
Solution Approach 2:
The system changes the approach from fixed-time maintenance to condition-based maintenance by continuously estimating degradation state as a dynamic parameter. By monitoring how degradation evolves over time and predicting its impact on resource consumption, the system determines the optimal moment to perform maintenance, ensuring maintenance cost is minimized while preventing excessive operating cost increase
Data Source
AI summary
A model predictive maintenance (MPM) system for building equipment includes one or more processing circuits having one or more processors and memory. The memory store instructions that, when executed by the one or more processors, cause the one or more processors to perform operations including estimating a degradation state of the building equipment, using a degradation impact model to predict an amount of one or more input resources consumed by the building equipment to produce one or more output resources based on the degradation state of the building equipment, generating a maintenance schedule for the building equipment based on the amount of the one or more input resources predicted by the degradation impact model, and initiating a maintenance activity for the building equipment in accordance with the maintenance schedule.