GRNN-based refrigerator number control method and GRNN-based refrigerator number control system
A control method and chiller technology, which is applied in the direction of machinery and equipment, can solve the problems of high energy consumption and inability to start the chiller intelligently, and achieve the effect of reducing energy consumption
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no. 1 approach
[0064] The first embodiment of the present invention relates to a method for controlling the number of chillers based on GRNN and its control system, including: S1, acquiring the operating characteristics of the chiller; S2, calculating the energy efficiency ratio of the chiller at Ti moment according to the first feature set; S3, calculate the external efficiency and internal efficiency of the chiller at time Ti according to the second feature set; S4, establish the internal efficiency prediction model of the chiller; S5, predict and select the working condition with the highest internal efficiency at Ti+1 time according to the internal efficiency prediction model Start the corresponding chiller.
[0065] In S1, the operating characteristics of the chiller include the current moment, the number of currently working chillers, the load rate inside the chiller, the flow rate, the chilled water return temperature, the chilled water outlet temperature, the condensation temperature,...
no. 2 approach
[0114] The second embodiment of the present invention provides a GRNN-based cooling machine number control system, including:
[0115] The processing module 201 is used to send and receive data, calculate, generate control logic, and send control instructions to the local BA device;
[0116] The collection module 202 is used to collect the operating characteristics of the chiller;
[0117] The training library module 203 is used to store and update the operating characteristics of the chiller;
[0118] Meteorological data module 204, for obtaining weather information;
[0119] The training module 205 is used to set up the GRNN network training model and utilize the operating characteristics of the chiller to train;
[0120] The control module 206 is configured to execute the control instructions issued by the processing module to adjust the operation of the chiller.
[0121] Wherein, the processing module 201 adopts an edge computing controller, the acquisition module 202 a...
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