基于聚类的双温度优化控制基站空调节能算法
信息技术与网络安全 3期
代凯旋1，曾献辉1，2，詹 麟1
(1.东华大学 信息科学与技术学院，上海201620；2.数字化纺织服装技术教育部工程研究中心，上海201620)
摘要： 基站空调的节能是电信行业节能减排十分重要的一环，通过数据挖掘方法从空调系统运行数据中找到提升运行性能的规则和手段，具有重要的现实意义和研究价值。针对基站空调的节能减排问题，对基站实时采集到的数据流，首先建立空调节能模型找到目标约束条件下最优控制温度；随后针对空调启停次数频繁的问题继续提出双温度控制模型，减少空调启动次数的同时进一步降低了空调能耗；最后为了应对室外温度、设备能耗等一些不确定因素的变化，提出了基于聚类的空调温度分段控制算法并加以改进，通过聚类结果分析得到对应的用电模式，对不同用电模式分别设计相应控制策略，最终实现了基站空调能耗降低25%的效果，为企业空调节能控制提供了可靠依据。
中圖分類號： TK01+8；TP301.6
文獻(xiàn)標(biāo)識碼： A
DOI： 10.19358/j.issn.2096-5133.2022.03.008
引用格式： 代凱旋，曾獻(xiàn)輝，詹麟. 基于聚類的雙溫度優(yōu)化控制基站空調(diào)節(jié)能算法[J].信息技術(shù)與網(wǎng)絡(luò)安全，2022，41(3)：44-49.
文獻(xiàn)標(biāo)識碼： A
DOI： 10.19358/j.issn.2096-5133.2022.03.008
引用格式： 代凱旋，曾獻(xiàn)輝，詹麟. 基于聚類的雙溫度優(yōu)化控制基站空調(diào)節(jié)能算法[J].信息技術(shù)與網(wǎng)絡(luò)安全，2022，41(3)：44-49.
An energy saving algorithm of base station air conditioning based on clustering for dual temperature optimization control
Dai Kaixuan1，Zeng Xianhui1，2，Zhan Lin1
(1.College of Information Science and Technology，Donghua University，Shanghai 201620，China； 2.Engineering Research Center of Digitized Textile & Apparel Technology，Ministry of Education，Shanghai 201620，China)
Abstract： he energy saving of base station air conditioning is a very important part of energy saving and emission reduction in telecom industry. It has important practical significance and research value to find rules and means to improve operation performance from the operation data of air conditioning system through data mining method. Aiming at the problem of energy saving and emission reduction of base station air conditioning, based on the real-time data stream collected by base station, this paper firstly established the air conditioning energy saving model to find the optimal control temperature under the target constraint conditions. Then, aiming at the problem of frequent start and stop times of air conditioning, a dual-temperature control model was proposed to reduce the number of air conditioning starts and further reduce the energy consumption of air conditioning. Finally，in order to deal with outdoor temperature, the change of some uncertain factors such as equipment energy consumption, the segmentation control algorithm of air conditioning temperature was proposed based on clustering algorithm and improved, and the corresponding mode of power was obtained by analyzing the clustering results. The corresponding control strategies were designed for different power modes，finally achieved the effect of base station air conditioning energy consumption reduced by 25%. It provides a reliable basis for enterprise air conditioning energy saving control.
Key words : air conditioning energy saving；dual temperature control；electricity consumption mode；clustering algorithm
0 引言
通信行業(yè)作為國民經(jīng)濟(jì)重要的組成部分，一直保持著持續(xù)發(fā)展的態(tài)勢。隨著5G時(shí)代的到來，用戶和數(shù)據(jù)需求的指數(shù)增長，每年將會有12萬個(gè)新的基站被部署[1]。基站通信設(shè)備運(yùn)行過程中產(chǎn)生的熱量將直接導(dǎo)致機(jī)房溫度升高，而過高的溫度又會影響通信設(shè)備的穩(wěn)定性、安全性和使用壽命，因此機(jī)房基本都是采取常年不間斷運(yùn)行空調(diào)的措施來降低機(jī)房溫度，所帶來的能源消耗巨大。據(jù)權(quán)威統(tǒng)計(jì)表明，目前在我國通信行業(yè)中，基站空調(diào)的耗電量約占基站總能耗的20%~40%[2]，每年耗電高達(dá)70億千瓦時(shí)。因此，在保證通信設(shè)備正常運(yùn)行的前提下，挖掘基站空調(diào)的節(jié)能潛力對電信行業(yè)具有十分重要的意義。
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作者信息：
代凱旋1，曾獻(xiàn)輝1，2，詹 麟1
(1.東華大學(xué) 信息科學(xué)與技術(shù)學(xué)院，上海201620；2.數(shù)字化紡織服裝技術(shù)教育部工程研究中心，上海201620)
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