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

Inactive Publication Date: 2021-09-17
苏州智而卓数字科技有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the embodiment of the present invention is to provide a GRNN-based method for controlling the number of chillers and its control system, which solves the problem of high energy consumption caused by the simultaneous start-up of multiple chillers after the central air conditioner is started in the prior art. The problem that the number of chillers cannot be intelligently started according to the operating conditions

Method used

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  • GRNN-based refrigerator number control method and GRNN-based refrigerator number control system
  • GRNN-based refrigerator number control method and GRNN-based refrigerator number control system
  • GRNN-based refrigerator number control method and GRNN-based refrigerator number control system

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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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Abstract

The invention belongs to the technical field of air conditioner water chilling units, and provides a GRNN-based refrigerator number control method and a GRNN-based refrigerator number control system. The method and system solve the problems that in the prior art, after a central air conditioner is started, multiple water chilling units are started at the same time, so that energy consumption is high, and the number of the water chilling units cannot be intelligently started according to operation conditions. The method comprises the steps of obtaining operation characteristics of the water chilling unit according to a preset rule; calculating the energy efficiency ratio, the external efficiency and the internal efficiency of the water chilling unit at the Ti moment; establishing an internal efficiency prediction model of the water chilling unit, wherein the internal efficiency prediction model is obtained through calculation of a GRNN network training model; and predicting and selecting a working condition with the highest internal efficiency to start the corresponding water chilling unit according to the operation characteristics of the water chilling unit, the internal efficiency prediction model of the water chilling unit and the air conditioner load demand at the Ti + 1 moment.

Description

technical field [0001] The invention belongs to the technical field of air-conditioning chillers, and in particular relates to a method for controlling the number of chillers based on GRNN and a control system thereof. Background technique [0002] Building energy consumption accounts for about 1 / 4 to 1 / 3 of the total energy consumption of the society, and with the development of urbanization, it is still increasing. Energy saving and emission reduction in the construction industry is of great significance. [0003] In the whole life cycle of a building, the energy consumption in the operation phase accounts for the vast majority. In building operation energy consumption, air conditioning and lighting energy consumption account for the main part. Especially the central air-conditioning units of large public buildings have very high energy consumption, so it is necessary to monitor the multiple chillers of the central air-conditioning to save energy for the air-conditioning...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F24F11/46F24F11/64F24F11/70F24F11/61
CPCF24F11/46F24F11/64F24F11/70F24F11/61
Inventor 马杰周盈希李国建汪丛军张飞
Owner 苏州智而卓数字科技有限公司
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