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

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...

AI Technical Summary

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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