|本期目录/Table of Contents|

[1]顾正宜.基于神经网络和等SCOP算法的中央空调节能控制技术研究[J].工业仪表与自动化装置,2021,(03):131-133.[doi:10.19950/j.cnki.cn61-1121/th.2021.03.028]
　GU Zhengyi.Research on energy saving control technology of central air conditioning based on neural network and equal SCOP algorithm[J].Industrial Instrumentation & Automation,2021,(03):131-133.[doi:10.19950/j.cnki.cn61-1121/th.2021.03.028]
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基于神经网络和等SCOP算法的中央空调节能控制技术研究

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2021年03期
页码:
131-133
栏目:
出版日期:
2021-06-15

文章信息/Info

Title:
Research on energy saving control technology of central air conditioning based on neural network and equal SCOP algorithm
作者:
顾正宜
中铁上海设计院集团有限公司，上海 200070
Author(s):
GU Zhengyi
China Railway Shanghai Design Institute Group Co. Ltd.,Shanghai 200070,China
关键词:
等SCOP; 神经网络; 节能群控; 中央空调
Keywords:
Equal-SCOP;  neural network;  energy-saving control;  central air conditioning
分类号:
TU831.3
DOI:
10.19950/j.cnki.cn61-1121/th.2021.03.028
文献标志码:
B
摘要:
为了提高中央空调节能控制系统的通用性和控制精度，该文利用神经网络算法建立了系统各设备的数学模型，并开发了等SCOP算法对模型进行能效最优求解。该文以某地铁项目冷冻机房设备配置应用为例，利用厂家提供的设备设计性能模型，验证了神经网络模型的精度以及等SCOP算法的可行性。同时研究也发现，利用设计模型数据训练的神经网络模型直接用于实际项目控制，会带来较大误差。模型需要根据现场实际数据进行训练，才能提高控制精度。
Abstract:
In order to improve the versatility and control precision of the central air conditioning energy-saving control system, the mathematical model of each device in the system is established by using the neural network algorithm, and the EQUAL-SCOP algorithm is developed to solve the optimal energy efficiency of the model. In this paper, the application of equipment configuration of a subway project is taken as an example, and the accuracy of the neural network model and the feasibility of the EQUAL-SCOP algorithm are verified by using the equipment design performance model provided by the manufacturer. At the same time, the study also found that the neural network model trained by the design model data directly used in the actual project control will bring large errors. The model needs to be trained according to the actual data in the field to improve the control precision.

参考文献/References:

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[2]王建伟.大型公共建筑中央空调系统节能运行管理[J].城市建筑,2017(08):126.
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[4]马丁T.哈根.神经网络设计（第2版）[M].机械工业出版社,2018.
[5]王顺岩,张建新,刘健洪.化工过程的集成建模方法研究[J].制造业自动化,2009,31(10):139-141.

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备注/Memo

备注/Memo:
收稿日期：2021-03-18

作者简介：
顾正宜（1979），男，上海人，本科，高级工程师，从事城市轨道交通智慧运维设计及研究工作。
更新日期/Last Update: 1900-01-01