Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Neural Network-Based Refrigeration Compressor Measurement and Control System and Measurement and Control Method

A refrigeration compressor and neural network technology, applied to the neural network-based refrigeration compressor measurement and control system and the measurement and control field, can solve the problems of complex measurement and control system, long test cycle, and waste of electric energy

Active Publication Date: 2020-08-28
HEFEI GENERAL MACHINERY RES INST +1
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since the refrigeration compressor is a component of the refrigeration system, the measurement and control system for its performance test is relatively complicated. The traditional energy consumption measurement and control technology requires manual intervention by the tester during the process of working condition adjustment, and requires the tester to have a considerable degree. Manual adjustment experience often results in a long test cycle and a large waste of electric energy

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Neural Network-Based Refrigeration Compressor Measurement and Control System and Measurement and Control Method
  • A Neural Network-Based Refrigeration Compressor Measurement and Control System and Measurement and Control Method
  • A Neural Network-Based Refrigeration Compressor Measurement and Control System and Measurement and Control Method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0061] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0062] The refrigeration compressor is one of the four main components of the refrigeration system. The other three main components of the refrigeration system are: evaporator, condenser and expansion valve. And the working principle of the refrigeration system is as follows: In the process of use, the low-temperature and low-pressure refrigerant gas after evaporative cooling is first sucked by the compressor, compressed into high-temperature and high-pressure ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a neural network-based refrigeration compressor measurement and control system, comprising: a test task management module for generating task data; a neural network prediction module predicting the start-stop state of the test equipment and the output percentage of the PID adjustment table through the neural network; The test task execution module is used to start and stop the test equipment and adjust the opening of the test equipment; the data management module is used to store test data and test result data and neural network; the neural network training module uses the stored test data and test results data to train the neural network. The invention also discloses an intelligent measurement and control method for refrigeration compressors with versatility and applicability, which makes the fully automatic measurement and control process more accurate as it is used, can greatly improve the testing efficiency and accuracy of refrigeration compressors, and reduce the Electricity consumption during the compressor test.

Description

technical field [0001] The invention relates to the field of measurement and control of refrigeration compressors, in particular to a neural network-based measurement and control system and method for refrigeration compressors. Background technique [0002] In recent years, with the "Internet +" plan proposed by the country, technologies such as the Internet, big data, and the Internet of Things have gradually been closely integrated with modern manufacturing industries, and research on deep learning neural networks has made great progress. In pattern recognition, intelligent robots, Automatic control, predictive estimation, medicine, economics and other fields have successfully solved many practical problems that modern computers are difficult to solve, showing good intelligence characteristics. [0003] The refrigeration compressor is the core component of the refrigeration system. The capacity of the refrigeration compressor determines the capacity of the refrigeration sy...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): F04B51/00G06N3/04
CPCF04B51/00G06N3/045
Inventor 王雷周全夏玲黄静陈熙李晨安宋有强许敬德
Owner HEFEI GENERAL MACHINERY RES INST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products