環境資源報告成果查詢系統

布建次階噪音計監測網計畫-開發次階噪音監控設備(1/2)

中文摘要 臺灣都市面積偏小,住商混雜人民居住距離繁雜交通鄰近,噪音十分容易侵害住宅區,噪音陳情案件常居各類公害陳情案件的前三位,其中營建工程與娛樂營業場所噪音為每年噪音陳情案件中數量最多項目,噪音感測與防制已成為重要議題。低頻噪音自94年起管制已有17年,其中營建低頻噪音之音源主要來自發電機、馬達及引擎等。過去噪音事件仰賴民眾檢舉、人工架設設備量測,耗時耗力又噪音特性瞬時,噪音源消失及無法量測,亦或是營建工地作業項目改變,環保機關複測往往合格但與民眾觀感有些落差。 本計畫有鑑於近年來環境感測裝置,如空氣品質、水質感測器成熟,資通訊技術之精進,使得開發體積小、耐用佳、操作簡單、設置費用低廉,具無線數據傳輸與物聯網功能之噪音感測物聯網設備成為可行之技術開發方向。111年執行設備開發、建立驗證比對規範文件以及數據傳輸,112年持續執行111年設備及方法精進。 人耳可聽頻率範圍為20 Hz-20 kHz,其中低頻噪音為可聽範圍中頻率較低的部分,臺灣訂定1/3八音度中心頻率20 Hz–200 Hz為噪音管制標準值。本單位擁有多年空氣品質感測器開發經驗,結合成熟之空氣微型感測設備,開發國產化次階低頻噪音計監控設備,研析太陽能板供電,提供10組並比對測試、布建試驗各2個月及數據上傳。研發之國產化次階低頻噪音計監控設備將送至國家度量衡實驗室(工研院量測中心),驗證精密度與準確度,建立設備操作規範及數據允收標準。 聲音照相技術自110年起已用於機動車輛噪音管制,惟機動車輛聲音照相在多車同時經過所產生的大量噪音,於聲音部分難以辨識特定車輛聲量,故排除在聲音執法的範圍之內。本計畫將依照該情境,規劃設計陣列式噪音監控設備,以12~16顆微音器陣列式次階噪音計提供多音源紀錄及分析,搭配Class 2以上標準噪音計及影像擷取設備,辨識4種不同來源,完成國產化陣列式噪音監控設備與實地場域驗證比對。
中文關鍵字 噪音計,低頻噪音,物聯網

基本資訊

專案計畫編號 11102-L0209 經費年度 111 計畫經費 2550 千元
專案開始日期 2022/04/22 專案結束日期 2022/12/31 專案主持人 劉承榮
主辦單位 環檢所 承辦人 程惠生 執行單位 廣域科技股份有限公司

成果下載

類型 檔名 檔案大小 說明
期末報告 11102-L0209_布建次階噪音計監測網計畫-開發次階噪音監控設備(1-2)成果報告(定稿).pdf 6MB

The Deployment of Secondary Noise Meter Monitoring Network Project - Development of Secondary Noise Monitoring Equipment (1/2)

英文摘要 The urban area in Taiwan is complex and small, the residential complex mixed commercial area that caused people to live with environmental noise and traffic noise. Petition for noise complaint became the Top 3 public nuisance, moreover, construction operations and entertainment business places both are the largest number of noise complaints in each year, which bring the noise detection and prevention become the most critical issues. Since 2005, the Low-frequency noise already administered for 17 years, the construction sources of low-frequency noise come from generators, motors, and engines. In the past, noise pollution incidents relied on public reporting and manual erection of equipment for measurement, which cost time-consuming and labor-intensive, because noise characteristics were instantaneous, the noise source disappeared and could not be measured, or the items of construction operations were changed, but not consent in current measurement by rule. This plan is based on improvement of environmental sensing technology application in recent years, such as air quality and water quality sensors both continually growing up, and that help to combine with wireless and Internet of Things (IOT) for noise-sensing technology development. and plan to carry the equipment development, establish verification and comparison specification, and data transmission in 2022, also will continue to implement the 2022 of equipment and method improvement in 2023. The audible frequency range of the normal human ear is 20 Hz-20 kHz, and low-frequency noise is the lower frequency part of the audible range. In Taiwan, already set up 1/3 octave band frequency of 20 Hz-200 Hz as the noise control standard value. Based on the past development experience of air quality sensor and air micro-sensing equipment, the team would like to take this opportunity, combining the application to develop a local produced low-frequency noise meter monitoring equipment, also to study and analyze the power supply by solar, the project will provide 10 devices for comparison testing and deployment within two months included data upload. This local produced low-frequency noise meter monitoring equipment will send to the National Measurement Laboratory (ITRI Measurement Center) and verify the accuracy and establish equipment operating specifications and data acceptance standards. Acoustic camera technology has been using in motor vehicle for law enforcement since 2021. However, the large amount of noise generated by motor vehicle sound camera when multiple vehicles pass at the same time is difficult to identify the specific vehicle sound volume, so it excluded the scope of sound law enforcement. According to this situation, the project will plan to design a local produced array noise monitoring equipment, which using 12~16 microphones to provide the function of multi-sound recording and analysis, with Class 2 or above standard noise meters and image capture equipment, in order to complete the field verification and comparison with standards, this array noise monitoring equipment can be identified 4 different sound sources.
英文關鍵字 Sound Level Meter, Low Frequency Noise, Internet of Things