都市熱島效應讓生活熱環境不斷持續惡化，人工智慧及物聯網技術逐漸成熟，打破過去技術空間限制。本整合型計畫提出「動態都市探針(Urban Mobile Probe)」觀念，採用無人機環境偵測器、無人機多鏡頭熱相攝影機、車行環境偵測載具、群眾舉報APP等四種型式，調查並蒐集都市空間中微氣候熱環境數據、綠視影像拍攝資訊，將大量的數據資料整合傳輸至雲端資料庫，透過電腦長短期記憶模型進行深度學習，最後根據空間資訊架構，整合建築資訊模型和空間形構法則的概念，設計一套二維及三維並存轉換的熱環境之熱輻射雲端資訊視覺化模型。 子計畫一為張效通教授主持的兩年期計畫：「以動態無人機影像辨識及空間形構法探討街道綠視率對熱環境之影響」。本研究利用的動態都市探針為：無人機環境偵測器及拍照攝影機，主要的宗旨在於探討臺北都會地區城市街道綠視率對都市熱環境的影響及表像特徵，依深度學習法(Deep Learning)進行動態影像辨識並結合空間形構法（Space Syntax）理論建構不同地區街道的比較基準，以共同評估基礎比較臺北都會地區街道綠視率。進一步比較行人綠化視覺體驗環境與都市溫度、濕度等熱環境之間的關係，評估行人認知感受的熱舒適度，研析微氣候物理環境及行人活動體驗之差異，進而提出對都市設計管制、熱環境緩解策略、整體都市環境品質改善之建議。
The urban heat island effect makes the living thermal environment worsen continuously. Artificial wisdom technology has gradually matured, breaking the limitation of technology space in the past. This integrated project proposes the concept of "Urban Mobile Probe", which adopts four types: UAV environment detector, UAV multi-lens thermal camera, vehicle environment detection vehicle, and crowdsourcing APP etc. Those are used to investigate and collect micro-climate thermal environment data and green video shooting information in urban space, and integrates a large amount of data into cloud database. Finally, according to the spatial information architecture, the concepts of building information model and spatial configuration rule are integrated to design a two-dimensional and three-dimensional thermal radiation cloud information visualization model. Sub-project 1 is a two-year project chaired by Professor Chang, Hsiao-Tung. The Urban Mobile Probes used in this study are: UAV environmental detectors and camera. The main purpose of this study is to analyze the impact of urban street green vision rate on urban thermal environment in Taipei metropolitan area and its image characteristics. Dynamic image recognition based on Deep Learning and space Syntax theory are used to construct a comparative benchmark for streets in different areas. The common assessment basis is to compare the green vision rate of streets in Taipei metropolitan area. Further compare the relationship between the pedestrian greening visual experience environment and the thermal environment such as urban temperature and humidity, evaluate the thermal comfort of pedestrians' perception, and analyze the differences between the microclimate physical environment and the pedestrian activity experience, and then propose urban design control and heat. Environmental mitigation strategies and recommendations for improving overall urban environmental quality.
