A neural network-based water chiller measurement and control system and measurement and control method

A technology of neural network and water chiller, which is applied in neural learning methods, biological neural network models, and testing of machine/structural components. It can solve problems such as waste of electric energy, large cooling capacity, and long test cycle, so as to improve training efficiency, The effect of improving control accuracy and improving training accuracy

Active Publication Date: 2021-11-16
HEFEI GENERAL MACHINERY RES INST +1
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Problems solved by technology

Due to the characteristics of high power consumption and large cooling capacity of chillers, traditional energy consumption measurement and control technology requires manual intervention by testers in the process of working condition adjustment, requiring testers to have a considerable degree of manual adjustment experience, and the test cycle is often longer. Large waste of electric energy

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  • A neural network-based water chiller measurement and control system and measurement and control method
  • A neural network-based water chiller measurement and control system and measurement and control method
  • A neural network-based water chiller measurement and control system and measurement and control method

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Embodiment Construction

[0060] 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.

[0061] The water chiller consists of four main components: refrigeration compressor, evaporator, condenser, and expansion valve. The high-temperature and high-pressure gas is sent to the condenser; the high-temperature and high-pressure gas is cooled by the condenser and becomes a normal temperature and high-pressure liquid and flows into the expansion valve; then, after being throttled by the expansion valve, it becomes a low-temperature and low-pressure gas a...

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Abstract

The invention discloses a neural network-based chiller measurement and control system, comprising: a test task management module used to generate 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 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 result data Perform neural network training. The invention also discloses an intelligent measurement and control method for chillers 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 chillers, and reduce the testing time of chillers. power consumption in the process.

Description

technical field [0001] The invention relates to the field of measurement and control of chillers, in particular to a neural network-based measurement and control system and method for chillers. Background technique [0002] Chillers are commonly known as refrigerators, refrigerators, coolers, etc., and are often used in various industrial environments and central air-conditioning. The performance test of chillers can effectively promote manufacturers to improve product performance. Because the chiller has the characteristics of high power consumption and large cooling capacity, 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 of manual adjustment experience, often with a long test period. The waste of electric energy is bigger. Therefore, how to intelligently and automatically test the performance of chille...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M99/00G06N3/08
CPCG01M99/008G06N3/08
Inventor 王雷樊海彬张成贾甲钱雪峰张宇杨厚太周全
Owner HEFEI GENERAL MACHINERY RES INST
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