Self-test system for qualifying refrigeration chiller system performance
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Solution Overview
Problem
Chillers and coolers often require costly and inefficient maintenance due to lack of integrated self-testing capabilities, leading to unnecessary downtime and increased capital expenditures, as end users lack expertise to diagnose operational issues before malfunctions occur.
Innovation Solution
A self-test mechanism is integrated into chillers that compares in situ operational characteristics against factory-recorded parameters, allowing for autonomous testing and predictive maintenance without the need for a service technician, by reconnecting fluid hoses to perform automatic characterization and alerting users to potential issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional diagnostic equipment is used to test chiller efficacy, then service technicians can diagnose equipment issues, but the process requires technician travel to end user locations or receiving equipment at remote sites, resulting in increased loss of time and reduced productivity
Solution Approach 1:
The chiller system performs self-diagnostics by automatically monitoring its own operational parameters and comparing them against expected performance ranges. The processor executes diagnostic routines that assess compressor performance, refrigerant flow, and temperature differentials without requiring external technician intervention, enabling the system to service itself
Solution Approach 2:
The diagnostic system is integrated directly into the chiller's existing processor and sensor network, allowing the same hardware components to serve both operational control functions and diagnostic monitoring functions. This eliminates the need for separate diagnostic equipment and technician travel
2Productivity
If service is performed only after malfunction or degradation occurs, then equipment can operate at full capacity, but this reactive approach requires chiller redundancy or causes downtime, increasing capital expenditures and economic impact
Solution Approach 1:
The diagnostic system continuously monitors operational parameters and detects performance degradation trends before they result in equipment failure. By identifying issues such as declining cooling capacity or abnormal temperature differentials in early stages, the system enables preventive maintenance scheduling that avoids unplanned downtime and extends equipment reliability
Solution Approach 2:
The system provides continuous feedback on chiller performance by comparing actual operational parameters against expected ranges and historical data. This feedback mechanism alerts operators to developing issues before they cause failures, enabling proactive maintenance decisions that maintain both productivity and reliability
3Ease of operation
If end users attempt to diagnose chiller issues without specialized expertise, then service can be performed immediately, but users lack knowledge of nominal factory parameters, resulting in false positive service requests and increased device complexity
Solution Approach 1:
The integrated diagnostic system acts as an intermediary between the complex chiller system and the end user. It automatically accesses and interprets factory-stored nominal parameters, performance thresholds, and diagnostic criteria, translating complex technical data into simple service recommendations that users can understand and act upon without specialized refrigeration knowledge
Data Source
AI summary
A chiller or cooler is disclosed, including a self-test mechanism to simulate a sampling of normal operations and to compare the operating parameters resulting from such sampling against factory operational parameters adjusted for differences in operating parameters so as to eliminate unnecessary servicing or maintenance events.