Refrigerant content prediction method for a refrigeration system

A technology of refrigeration system and prediction method, applied in prediction, data processing application, calculation and other directions, can solve the problems of time-consuming and expensive fault diagnosis and maintenance, and achieve the effect of realizing refrigeration performance prediction

Active Publication Date: 2019-04-19
CHINA AERO POLYTECH ESTAB +1
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Problems solved by technology

[0002] As the complexity of the refrigeration system continues to increase, most of the fault inspection and maintenance work is carried out on site by technicians or mechanics, so traditional fault diagnosis and maintenance become extremely time-consuming and expensive, fault diagnosis, equipment maintenance and life estimation have been Develop from dealing with failures to preventive maintenance based on predicted results during work

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  • Refrigerant content prediction method for a refrigeration system
  • Refrigerant content prediction method for a refrigeration system

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Embodiment Construction

[0049] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0050] According to the refrigerant content prediction method used in refrigeration systems of the present invention, it is divided into a modeling implementation process and a prediction implementation process, which sets the implementation conditions, determines the location of the measuring point and the operating condition, and obtains the modeling data through the static perfusion test , by establishing the relationship model between the temperature parameter change and the refrigerant content of the refrigeration system, determining the forecast implementation conditions, selecting the working mode, and combining the above model with the method of predicting the remaining service life of the refrigeration system through the temperature of the refrigeration system, the refrigerant of the refrigeration system can be obtained content, collect the effective degradat...

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Abstract

The invention relates to a refrigerant content prediction method for a refrigeration system. The method comprises a modeling implementation process and a prediction implementation process. In an implementation condition setting method, a measuring point position and an operation condition are determined. Modeling data are obtained through a static perfusion test; A relation model of temperature parameter change and refrigerant content of a refrigeration system is established; The prediction implementation condition is determined, the working mode is selected, the residual service life of the refrigeration system is predicted through the temperature of the refrigeration system in combination with the model, the refrigerant content of the refrigeration system is obtained, the effective degradation value of the refrigerant content is collected, and the residual service life of the refrigeration system is obtained.

Description

technical field [0001] The invention relates to the technical field of refrigeration systems, in particular to a refrigerant content prediction method for refrigeration systems. Background technique [0002] With the increasing complexity of the refrigeration system, most of the fault inspection and maintenance are carried out on site by technicians or mechanics, so the traditional fault diagnosis and maintenance become extremely time-consuming and expensive, fault diagnosis, equipment maintenance and life estimation have been From starting to deal with failures to developing preventive maintenance based on predicted results during the work process. Preventive maintenance and diagnosis do not require frequent on-site repetitive work through reliability and prediction technology, and its prediction frequency can be changed according to the severity of the application and the operating environment, which can effectively increase the efficiency of fault inspection and maintenan...

Claims

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Application Information

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IPC IPC(8): G06Q10/04
CPCG06Q10/04
Inventor 蒋觉义魏绍军杜宝刘振英单昆仑冯宇唐培田吕剑初龙涛卓权财余晓宁
Owner CHINA AERO POLYTECH ESTAB
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