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標題: | PM2.5大氣污染模擬與預報技術市場商業模式可行性研究 The Business Model Study on PM2.5 Air Pollution Simulation and Forecasting System |
作者: | Yi-Cheng Chiu 邱奕誠 |
指導教授: | 李存修(Tsun-Siou Lee) |
關鍵字: | PM2.5,空氣污染,大數據,物聯網,人工智能, PM2.5,Air Pollution,Big Data,Internet of Things,Artificial Intelligence ., |
出版年 : | 2017 |
學位: | 碩士 |
摘要: | 近年來最熱門的空氣污染議題為細懸浮微粒(PM2.5)污染,PM2.5可穿透肺泡進入人體隨著血液迴圈全身危害健康,除增加患病機率減少壽命外,伴隨著嚴重的霧霾問題也影響日照時數造成能見度降低,因此世界各國均將PM2.5污染列為重要空氣污染問題。尤其以中國大陸、臺灣和香港等地更飽受PM2.5污染之苦,也造成公眾生活的困擾與對政府施政的不滿意。而污染管制的主要基礎在於背景污染資料的取得,必須獲得足夠的時間長度、廣度與密度的監測資料,才能進行各式深入的問題剖析和擬定適當的污染管制策略。
鑒此,敏感的企業家緊緊抓住社會機遇與民眾的痛點,積極利用各種科學手段例如大數據、物聯網、雲端計算、人工智能系統等高科技和商業創新方式投入PM2.5污染監測、污染模擬與污染預測領域,希望發展出清晰與可持續性的商業模式,一方面增加更多的監測資料來輔助政府的不足,另一方面提供公眾更多生活環境周遭的污染情況以便做適當的防護措施,同時也期望在健康防護、污染分析和污染預測領域的熱門環保商機中獲得長期的盈利回報。 本論文從環境科學專業角度出發,深入研究了這個處於萌芽階段的市場,分別探討空氣污染模擬模式、可攜式監測設備、結合大數據和雲端計算的人工智能模型,這三種不同的PM2.5污染分析與預測方式,並探討其準確程度與資料可靠性,以瞭解其在市場的發展前景。然後分析政府市場的商業模式與物聯網市場的商業模式,和目前商業模式發展的困境。 研究結果顯示,除了提供財政補貼或提供特許經營權的政府市場外,提供整合性服務的物聯網市場盈利模式尚處於初始發展與模糊階段,而且前期資本與資源投入非常大、資本回收與盈利期漫長。但已有部分國際級大型科技公司領先進入市場,進行基礎建設與逐漸獲得市場份額,未來等待市場時機成熟時,這些先行者或有可能成為行業的獨角獸企業。 Particular Matter (PM2.5) pollution has been the most popular air pollution issue in these years. It can be breathed into our bodies by penetrating Alveolus and circulate to the whole body via blood and damage our health seriously. Besides of increasing the prevalence rate and decreasing the life length, the severe smog also effects the sunshine hours and bring down the visibility. Thus, PM2.5 is the top air pollution issue to the most of the countries in the world, especially in China, Taiwan and Hong Kong. People are suffered from the pollution in their daily life, and they ascribe the pollution to the government incapability and arise their un-satisfaction to the government. To control the pollution, the basis is to gain the background database which must monitor under a certain period of time in length, wideness and depth. With the database so that can analyze advanced problems and make appropriate pollution control strategies. Under this circumstance, the entrepreneurs sense the business opportunities. They invest effort to PM2.5 Monitoring, Simulation, and Forecasting fields with new technologies and business innovation by using scientific approaches such as Big Data, Internet of Things, Cloud Computing and Artificial Intelligence System. They want to develop a positive and sustainable business model. By which can provide more data to complete government’s incompleteness; also can provide more information to public for people to have suitable protection. In the same time, they expect to have long term profit return from health protection, pollution analysis and prediction. This thesis is a research about the new and developing market from environmental science point view. In the research, it discusses three different methods of analysis and prediction on PM2.5 pollution: air pollution simulation, portable monitoring equipment and Artificial Intelligence combining Big Data and Cloud Computing. It also discusses the accuracy and data reliability of the above mentioned methods to understand the market prospect. Furthermore, it discusses the business models of government market and Internet of Things and analyzes the difficulties of current business model. As the research result, despite of financial subsidy or government concession, the profit model of the Internet of Thing by offering integrated service is still blurred. The initial investment is huge and it takes quite a long time to reward. However, there is some international level technology companies has entered the market and started the business. They build up infrastructure and gain the market share, and these companies may be the next Unicorns in the future when the market becomes mature. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/59246 |
DOI: | 10.6342/NTU201701008 |
全文授權: | 有償授權 |
顯示於系所單位: | 臺大-復旦EMBA境外專班 |
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