環境資源報告成果查詢系統

陸上運輸系統暨營建工程噪音智能科技改善研究計畫

中文摘要 為加強陸上運輸系統、營建工程等噪音問題改善,環境部爰投入智能科技協作評估研究,以精簡人力需求、精進稽查效能。本計畫採用陣列麥克風及電腦模式進行研究,陣列麥克風除在半無響室進行實作測試外,亦於陸上運輸系統、車輛測試場及娛樂、營業場所實地量測,同時藉由量測過程與結果檢討法令規範內容。陸上運輸系統3處量測結果發現,陣列麥克風可輔助區分噪音責任,而Class 1噪音計實測值與電腦模式模擬值相差在±3dB(A)內且整體趨勢一致,說明電腦模式的可信度,未來可再就不同並存樣態、國際上其他智能科技投入協作進行研究。 近年無人機應用普遍,機體運轉聲也是噪音來源之一,本計畫蒐集最新無人機噪音相關規範、管理指引及現況,目前奧地利及歐盟已訂有無人機噪音容許值及量測方法可為我國參考。本計畫也彙研國際間聲音照相科技執法現況、寧靜區執行方式及住宅區音量品質評估,美國紐約州及英國肯辛頓-切爾西市正使用噪音計量測系統執法,法國正對陣列麥克風量測系統進行法定的型式認證;寧靜區需透過噪音地圖確定必須降噪、不容再增區域,再據此規劃行動計畫;多數國家住宅區音量品質評估指標採LAeq,日間音量約55 dB(A)、夜間音量約45 dB(A)。 本計畫完成陣列麥克風共桿應用可行性規劃及實地裝設測試,陣列麥克風可有效辨識出最大音量之噪音車並進行採證,結合5G智慧桿共桿掛載透過資源共享可節省許多設置成本,期能透過智能科技提昇生活環境品質。
中文關鍵字 航空噪音、聲音照相、麥克風陣列、複合性音源、寧靜區

基本資訊

專案計畫編號 經費年度 113 計畫經費 4750 千元
專案開始日期 2024/02/07 專案結束日期 2024/12/31 專案主持人 劉嘉俊
主辦單位 環境部大氣環境司 承辦人 Yi-Hui Hsieh 執行單位 台灣永續工程顧問有限公司

成果下載

類型 檔名 檔案大小 說明
期末報告 陸上運輸系統暨營建工程噪音智能科技改善研究計畫成果報告(全)(期末定稿本)(356頁).pdf 31MB

Research Plan for the Improvement of Noise Intelligent Science and Technology of Land Transportation System and Construction Projects

英文摘要 To enhance noise mitigation in land transportation systems, construction projects, and other noise-related issues, the Ministry of Environment has invested in smart technology collaboration and evaluation research to optimize manpower efficiency and improve enforcement effectiveness. This project employs microphone arrays and computer modeling for research purposes. The microphone arrays underwent both semi-anechoic chamber testing and field measurements in land transportation systems, vehicle testing grounds, entertainment venues, and commercial establishments. Additionally, the measurement process and results were used to review and refine regulatory frameworks. Findings from three land transportation system measurement sites indicate that microphone arrays effectively assist in distinguishing noise responsibility. Moreover, Class 1 sound level meter measurements and computer model simulations exhibited a deviation of within ±3 dB(A), with an overall consistent trend, demonstrating the reliability of the computer model. Future research may further explore different coexisting scenarios and international advancements in smart technology applications for collaborative studies. In recent years, drone applications have become increasingly common, and their operational noise has emerged as a noise source. This project has compiled the latest regulations, management guidelines, and current developments in drone noise control. Austria and the European Union have already established permissible noise levels and measurement methods for drones, which could serve as references for Taiwan. Additionally, this project has reviewed international trends in sound-based photo enforcement, quiet zone implementation strategies, and residential noise quality assessments. New York State in the United States and Kensington and Chelsea in the United Kingdom are currently enforcing noise regulations using noise meter measurement systems, while France is undergoing statutory type certification for microphone array measurement systems. The establishment of quiet zones requires noise mapping to identify areas requiring noise reduction, preventing further noise intrusion before formulating action plans. Most countries adopt LAeq as the primary residential noise quality assessment metric, with daytime noise levels around 55 dB(A) and nighttime levels around 45 dB(A). This project has successfully completed the feasibility study and field installation testing of microphone arrays mounted on multi-purpose smart poles. The microphone arrays effectively identify and provide evidence for the noisiest vehicles. By integrating with 5G smart poles and utilizing resource-sharing strategies, installation costs can be significantly reduced. Through smart technology, the project aims to enhance the quality of the living environment.
英文關鍵字 Aviation noise, Acoustic camera, Microphone Array, clustered sound sources, Quiet Areas