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基于聚類的雙溫度優(yōu)化控制基站空調(diào)節(jié)能算法
信息技術(shù)與網(wǎng)絡(luò)安全 3期
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)
摘要: 基站空調(diào)的節(jié)能是電信行業(yè)節(jié)能減排十分重要的一環(huán),,通過(guò)數(shù)據(jù)挖掘方法從空調(diào)系統(tǒng)運(yùn)行數(shù)據(jù)中找到提升運(yùn)行性能的規(guī)則和手段,,具有重要的現(xiàn)實(shí)意義和研究?jī)r(jià)值。針對(duì)基站空調(diào)的節(jié)能減排問(wèn)題,,對(duì)基站實(shí)時(shí)采集到的數(shù)據(jù)流,,首先建立空調(diào)節(jié)能模型找到目標(biāo)約束條件下最優(yōu)控制溫度;隨后針對(duì)空調(diào)啟停次數(shù)頻繁的問(wèn)題繼續(xù)提出雙溫度控制模型,,減少空調(diào)啟動(dòng)次數(shù)的同時(shí)進(jìn)一步降低了空調(diào)能耗,;最后為了應(yīng)對(duì)室外溫度、設(shè)備能耗等一些不確定因素的變化,提出了基于聚類的空調(diào)溫度分段控制算法并加以改進(jìn),,通過(guò)聚類結(jié)果分析得到對(duì)應(yīng)的用電模式,,對(duì)不同用電模式分別設(shè)計(jì)相應(yīng)控制策略,最終實(shí)現(xiàn)了基站空調(diào)能耗降低25%的效果,,為企業(yè)空調(diào)節(jié)能控制提供了可靠依據(jù),。
中圖分類號(hào): TK01+8;TP301.6
文獻(xiàn)標(biāo)識(shí)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(guó)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(shì)。隨著5G時(shí)代的到來(lái),,用戶和數(shù)據(jù)需求的指數(shù)增長(zhǎng),,每年將會(huì)有12萬(wàn)個(gè)新的基站被部署[1]?;就ㄐ旁O(shè)備運(yùn)行過(guò)程中產(chǎn)生的熱量將直接導(dǎo)致機(jī)房溫度升高,,而過(guò)高的溫度又會(huì)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(lái)降低機(jī)房溫度,,所帶來(lái)的能源消耗巨大。據(jù)權(quán)威統(tǒng)計(jì)表明,,目前在我國(guó)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(duì)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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