Intelligence system of building management system for energy efficiency in the test facility

被引：0

作者：

Bogdanovs, Nikolajs ^{[1
]}

Belinskis, Romualds ^{[2
]}

Jeralovics, Viktors ^{[2
]}

Krumins, Andris ^{[1
]}

Afonicevs, Viktors ^{[3
]}

Ipatovs, Aleksandrs ^{[4
]}

机构：

[1] Lafivents LTD, Bldg Automat Dept, Riga, Latvia

[2] Riga Tech Univ, Transport Comp Control Informat & Elect Syst, Riga, Latvia

[3] Lafivents Serviss LTD, Dept Engn, Riga, Latvia

[4] Riga Tech Univ, Dept Transport Elect & Telemat, Riga, Latvia

来源：

2018 ADVANCES IN WIRELESS AND OPTICAL COMMUNICATIONS (RTUWO) | 2018年

关键词：

heating management system; energy saving; weather forecast; Kalman Filter; PREDICTIVE CONTROL;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

To improve the quality of control of the engineering systems of the building this work provides intellectual management system to increase energy efficiency. This work describes a new method of designing management systems to control buildings' engineering systems capable to inform on the negative influence of different control algorithms on energy efficiency. This new method uses the weather forecast processed by Kalman's filter. Hot water supply valve in the heat node is used as the test bed for the offered structure of control. This intellectual system was developed in the Python programming language. This intelligence control system also equips error detection in engineering systems of the building.

引用

页码：100 / 105

页数：6

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