Google llc (20240102677). SYSTEMS AND METHODS FOR PREDICTING REFRIGERANT LEAKAGE OF A CRITICALLY CHARGED HVAC/REFRIGERATION SYSTEM simplified abstract
Contents
- 1 SYSTEMS AND METHODS FOR PREDICTING REFRIGERANT LEAKAGE OF A CRITICALLY CHARGED HVAC/REFRIGERATION SYSTEM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEMS AND METHODS FOR PREDICTING REFRIGERANT LEAKAGE OF A CRITICALLY CHARGED HVAC/REFRIGERATION SYSTEM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
SYSTEMS AND METHODS FOR PREDICTING REFRIGERANT LEAKAGE OF A CRITICALLY CHARGED HVAC/REFRIGERATION SYSTEM
Organization Name
Inventor(s)
Evan Aschow of Fair Oaks CA (US)
Joel Cesare of Santa Cruz CA (US)
Tony Cacace of Santa Cruz CA (US)
SYSTEMS AND METHODS FOR PREDICTING REFRIGERANT LEAKAGE OF A CRITICALLY CHARGED HVAC/REFRIGERATION SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240102677 titled 'SYSTEMS AND METHODS FOR PREDICTING REFRIGERANT LEAKAGE OF A CRITICALLY CHARGED HVAC/REFRIGERATION SYSTEM
Simplified Explanation
The patent application describes a system for predicting leaks in HVAC/refrigeration systems using subcooling data and a neural network.
- The system includes a critically charged HVAC/refrigeration system and processing circuitry.
- The processing circuitry obtains subcooling data from the system and inputs it into a neural network to predict leak events.
- The neural network is trained using historical data of subcooling parameters from multiple systems.
- The processing circuitry can notify technicians or managers of predicted leak events using a display.
Potential Applications
This technology could be applied in various industries where HVAC/refrigeration systems are critical for operations, such as commercial buildings, industrial facilities, and food storage warehouses.
Problems Solved
1. Early detection of leaks in HVAC/refrigeration systems can prevent costly repairs and downtime. 2. Predicting leaks can help improve system efficiency and reduce energy consumption.
Benefits
1. Increased system reliability and longevity. 2. Cost savings from proactive maintenance. 3. Improved environmental sustainability by reducing refrigerant emissions.
Potential Commercial Applications
"Predictive Leak Detection System for HVAC/Refrigeration Systems"
Possible Prior Art
One possible prior art could be traditional leak detection methods such as manual inspections or using leak detection tools. However, these methods may not provide early predictive capabilities like the system described in the patent application.
Unanswered Questions
How does the neural network handle different types of refrigerants or system configurations?
The patent application does not specify how the neural network accounts for variations in refrigerants or system setups. Further details on the network's adaptability to different scenarios would be beneficial.
What is the accuracy rate of the predictive leak detection system based on real-world testing?
The patent application does not mention the accuracy rate of the system in detecting leaks. Understanding the system's performance in practical applications would be crucial for assessing its effectiveness.
Original Abstract Submitted
a system for predicting a leak of a hvac/refrigeration system includes a critically charged hvac/refrigeration system configured to circulate a refrigerant to cool a space, and processing circuitry. the processing circuitry is configured to obtain the subcooling data from the critically charged hvac/refrigeration system. the processing circuitry is configured to predict a leak event by providing the subcooling data as an input to a neural network. the neural network is trained using historical data of one or more subcooling parameters of a plurality of critically charged hvac/refrigeration systems. the processing circuitry is configured to operate a display to provide a notification to a technician or a manager regarding the predicted leak event at the critically charged hvac/refrigeration system.
