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工業技術研究院

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技術名稱: 顧客流量等級預測方法及應用其之空調溫度控制方法

技術簡介

根據預測營業場所的顧客量等級,提供一個動態空調設定溫度建議值,在人較多的時段提供較舒適的建議值;人較少的時段提供較省能的建議值,以達到設備運轉節約之節能效果。

Abstract

The method in this patent can generate a dynamic value for setting temperature to air conditioners by projecting the level of customer flow. The strategy can save energy from the operation of air conditioner because the value can be changed automatically. The value becomes higher while less people are in the store, and becomes lower while more people are entering in the store.

技術規格

1.可自適性學習顧客流量,學習時間2天 2.可自適性輸出溫度建議值,反應時間10分鐘 3.可依據實際顧客量修正建議值

Technical Specification

1. Self-adaptive learning for customer flow prediction (The training duty is about 2 days) 2. Suggestions to AC temperature setting can be produced every 10minutes 3. Modifications of the setting temperature referring to the real customer flow.

技術特色

一般空調系統的設定溫度幾乎是恆在一個數值,本專利則是以顧客量的概念,動態改變空調設定溫度,如此,在顧客量少的時段可以大量節省空調耗電。

應用範圍

需要空調之營業場所

接受技術者具備基礎建議(設備)

PC,嵌入式系統

接受技術者具備基礎建議(專業)

自動控制、程式設計、數值方法

技術分類 01 綠能環境

聯絡資訊

聯絡人:林政廷 智慧節能系統技術組

電話:+886-3-5915404 或 Email:tim_lin@itri.org.tw

客服專線:+886-800-45-8899

傳真:+886-3-5820050

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