System and method for self-regulated defrost operation inrefrigeration units
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Solution Overview
Problem
Refrigeration units in enterprise environments face inefficiencies due to fixed frequency and fixed duration-based defrosting methods, which fail to adapt to changing conditions, leading to suboptimal product quality and compliance.
Innovation Solution
A system and method for self-regulated defrost operations in refrigeration units, utilizing a server to generate individual signatures from historic defrost events, predict ice gradient profiles, and determine product input constraints, allowing for adaptive defrosting based on design and operational constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If fixed frequency and fixed duration-based defrosting operations are used, then the defrosting process is simple to implement, but the product quality and compliance deteriorate due to inability to adapt to changing conditions
Solution Approach 1:
The patent implements dynamic defrosting parameters that adjust based on real-time monitoring of evaporator temperature, ice accumulation patterns, and product temperature. The system transitions from fixed frequency/duration defrosting to adaptive defrosting where timing, temperature, and duration are continuously optimized based on actual operating conditions, thereby maintaining product quality while managing defrosting operations
Solution Approach 2:
The system incorporates feedback mechanisms by monitoring evaporator temperature, product temperature, and ice gradient profiles during defrosting events. This feedback is used to adjust subsequent defrosting operations, creating a closed-loop control system that adapts to changing conditions and maintains product compliance while optimizing defrosting effectiveness
2Reliability
If adaptive defrosting methods using recent performance changes are implemented, then product quality is improved, but the system complexity increases
Solution Approach 1:
The patent segments the defrosting control into multiple independent components: individual signatures for each refrigeration unit, ice gradient profiles for different locations, product group profiles for different product types, and separate constraint modules. This modular segmentation allows adaptive defrosting to be implemented without creating a monolithic complex system, as each component can be developed and maintained independently
Solution Approach 2:
The system manages complexity by focusing parameter changes on key variables such as defrost temperature, defrost duration, and defrost frequency, while maintaining standardized profiles for different product groups and unit types. This selective parameter adjustment approach enables adaptive control without requiring complex reconfiguration of the entire system
3Manufacturing precision
If individual signatures and ice gradient profiles are generated for each refrigeration unit, then defrosting precision is improved, but the data processing requirements increase
Solution Approach 1:
The patent uses template-based copying where standardized product group profiles and constraint templates are created once and then applied across multiple refrigeration units. Individual signatures and ice gradient profiles are generated by adapting these templates to specific unit characteristics rather than creating entirely unique profiles for each unit, significantly reducing data processing requirements while maintaining precision
Solution Approach 2:
The system applies local quality by generating detailed individual signatures and ice gradient profiles only for specific locations and units where precision is most critical, while using standardized profiles for less critical applications. This selective approach to data generation reduces overall processing load while maintaining high precision where needed
Data Source
AI summary
System for self-regulated defrost operation comprises a server configured to generate individual signatures corresponding to historic defrost events for the refrigeration units, where the individual signatures comprise pre-event defrost behavior and post-event defrost behavior, which are generated based on defrost parameters and a corresponding defrost policy. The system predicts ice gradient profiles for the refrigeration units and creates a priority rank based on the outcome impact of each of the ice gradient profiles to create an ice gradient index, determine product input constraints based on product group profiles, product quality impact index, and product compliance, execute design constraints and operational constraints associated with the refrigeration units, and self-regulate a defrost event for the refrigeration units in terms of design constraint parameters, based on the individual signatures corresponding to the historic defrost events, the ice gradient index, the product input constraints, and the executed design constraints and operational constraints.