環保專案成果報告查詢系統

專案計畫編號	NERA044112007
經費年度	112
計畫經費	2,550 千元
專案開始日期	2023/03/21
專案結束日期	2023/12/31
專案主持人	劉承榮
主辦單位	國環院檢測技術中心
承辦人	程惠生
執行單位	廣域科技股份有限公司
專案分類	噪音振動
中文關鍵字	噪音計，低頻噪音，物聯網
英文關鍵字	Sound Level Meter, Low Frequency Noise, Internet of Things
協同主持人
共同主持人
計畫聯絡人	林忠宏
計畫聯絡電話	02-22232997#3613
計畫聯絡信箱	tom.lin@ensensetech.com

中文摘要	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技術上可行之產品開發方向。本團隊於111年己完成設備開發、初步測試驗證、建立驗證比對規範文件等，於112年持續精進設備、執行測試實驗及相關應用的可行性評估。 111年開發完成結合空品感測器之次階噪音計，並進行實驗室及實際場域驗證。在112年將改良現有次階噪音計，開發獨立式國產化次階噪音計，不需與空氣品質感測器結合便可獨立運作。同時改善低頻63Hz以下之量測效能、進行標準化實驗室測試、並於實際場域進行比對及相關測試。另外，111年度開發之陣列式麥克風音源定位設備，己完成於實驗室、原環保署(現環境部)認可標準測試場地、及新竹市聲音照相之實際場域初步比對測試。112年度開發整合型陣列式麥克風音源追踨設備，結合陣列式麥克風、環景攝影機、Class 1噪音計、車牌辨識攝影機等相關設備，組成一套完整的音源追踨聲音照相設備。另完成環境部認可之標準跑道測試，並於聲音照相場域進行至少1個月的實測。本年度進行兩個軟體應用的開發及可行性驗證。第一是利用聲音頻譜分析技術分辨聲音種類，以實際或模擬方式產生至少3種以上之不同聲音種類，驗證聲音種類分辨的準確度。第二是研析利用工程或模式方式(如以Grapher等軟體繪製等音壓圖或其他工程方式)，鑑別噪音源所在位置之可行性進行比對及相關測試。經由延續產品開發精進驗證，來提升產品應用之可能機會，確保開發之噪音監測感測器符合未來輔助實務應用之需求。
中文關鍵字	噪音計，低頻噪音，物聯網

中文摘要

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技術上可行之產品開發方向。本團隊於111年己完成設備開發、初步測試驗證、建立驗證比對規範文件等，於112年持續精進設備、執行測試實驗及相關應用的可行性評估。 111年開發完成結合空品感測器之次階噪音計，並進行實驗室及實際場域驗證。在112年將改良現有次階噪音計，開發獨立式國產化次階噪音計，不需與空氣品質感測器結合便可獨立運作。同時改善低頻63Hz以下之量測效能、進行標準化實驗室測試、並於實際場域進行比對及相關測試。另外，111年度開發之陣列式麥克風音源定位設備，己完成於實驗室、原環保署(現環境部)認可標準測試場地、及新竹市聲音照相之實際場域初步比對測試。112年度開發整合型陣列式麥克風音源追踨設備，結合陣列式麥克風、環景攝影機、Class 1噪音計、車牌辨識攝影機等相關設備，組成一套完整的音源追踨聲音照相設備。另完成環境部認可之標準跑道測試，並於聲音照相場域進行至少1個月的實測。本年度進行兩個軟體應用的開發及可行性驗證。第一是利用聲音頻譜分析技術分辨聲音種類，以實際或模擬方式產生至少3種以上之不同聲音種類，驗證聲音種類分辨的準確度。第二是研析利用工程或模式方式(如以Grapher等軟體繪製等音壓圖或其他工程方式)，鑑別噪音源所在位置之可行性進行比對及相關測試。經由延續產品開發精進驗證，來提升產品應用之可能機會，確保開發之噪音監測感測器符合未來輔助實務應用之需求。

中文關鍵字

噪音計，低頻噪音，物聯網

類型	檔名	檔案大小	說明	最新版公開日期
期末報告	案號112BD014_布建次階噪音計監測網計畫-開發次階噪音監控設備(2-2)成果報告(定稿)電子檔_完整版.pdf	24MB	案號112BD014_布建次階噪音計監測網計畫-開發次階噪音監控設備(2/2)成果報告(定稿)電子檔_完整版	2024/1/16 上午 12:00:00

摘要	This project is based on the maturity of environmental sensing devices in recent applications, such as air quality and water quality sensors, along with advancements in information and communication technology. These developments have made it technically feasible to develop compact、durable、easy-to-operate and cost-effective noise-sensing as Internet of Things (IoT) devices with wireless data transmission capabilities. Our team completed device development, initial testing and verification, and the establishment of verification and comparison standards in 2022, and continued to improve the devices, conduct testing experiments, and assess the feasibility of related applications in 2023. In 2022, our team completed the development of a secondary noise meter integrated with an air quality sensor and conducted laboratory and outdoor verifications. In 2023, we will improve the secondary noise meter and develop as a standalone secondary noise meter which without an air quality sensor but can operate independently. Simultaneously, we will enhance the measurement performance for frequencies below 63Hz, which conduct standardization laboratory tests, and carry out comparisons in related testing environments. Besides, in 2022, we completed the development of an array microphone-based sound source localization device and conducted some initial laboratory testing, included an EPA(now Ministry of Environment)-accredited standard road testing, and the real testing environment in Hsinchu City with local acoustic imaging equipment. In 2023, we will develop an integrated array microphone-based sound source tracking device that combines an array microphone, panoramic camera, Class 1 noise meter, and license plate recognition camera, forming a complete sound source tracking and imaging system. Additionally, we will complete the Ministry of Environment -accredited standard road testing and conduct at least one month of testing environment in the acoustic imaging environment. There are two software applications developed and its feasibility plan to verify in this year. The first application uses sound spectrum analysis techniques to distinguish different types of sounds. At least three or more different sound types, whether produced in real-life or simulated, will be used to verify the accuracy of sound type discrimination. The second application involves analyzing the feasibility of identifying the location of noise sources using engineering or modeling methods, such as creating sound pressure maps by using software (for instance Grapher or others). By these process hope can enhance the potential for practical applications and ensure that the developed noise sensing devices can meet the requirements for future practical applications.
英文關鍵字	Sound Level Meter, Low Frequency Noise, Internet of Things

摘要

This project is based on the maturity of environmental sensing devices in recent applications, such as air quality and water quality sensors, along with advancements in information and communication technology. These developments have made it technically feasible to develop compact、durable、easy-to-operate and cost-effective noise-sensing as Internet of Things (IoT) devices with wireless data transmission capabilities. Our team completed device development, initial testing and verification, and the establishment of verification and comparison standards in 2022, and continued to improve the devices, conduct testing experiments, and assess the feasibility of related applications in 2023. In 2022, our team completed the development of a secondary noise meter integrated with an air quality sensor and conducted laboratory and outdoor verifications. In 2023, we will improve the secondary noise meter and develop as a standalone secondary noise meter which without an air quality sensor but can operate independently. Simultaneously, we will enhance the measurement performance for frequencies below 63Hz, which conduct standardization laboratory tests, and carry out comparisons in related testing environments. Besides, in 2022, we completed the development of an array microphone-based sound source localization device and conducted some initial laboratory testing, included an EPA(now Ministry of Environment)-accredited standard road testing, and the real testing environment in Hsinchu City with local acoustic imaging equipment. In 2023, we will develop an integrated array microphone-based sound source tracking device that combines an array microphone, panoramic camera, Class 1 noise meter, and license plate recognition camera, forming a complete sound source tracking and imaging system. Additionally, we will complete the Ministry of Environment -accredited standard road testing and conduct at least one month of testing environment in the acoustic imaging environment. There are two software applications developed and its feasibility plan to verify in this year. The first application uses sound spectrum analysis techniques to distinguish different types of sounds. At least three or more different sound types, whether produced in real-life or simulated, will be used to verify the accuracy of sound type discrimination. The second application involves analyzing the feasibility of identifying the location of noise sources using engineering or modeling methods, such as creating sound pressure maps by using software (for instance Grapher or others). By these process hope can enhance the potential for practical applications and ensure that the developed noise sensing devices can meet the requirements for future practical applications.

英文關鍵字

Sound Level Meter, Low Frequency Noise, Internet of Things