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.

Sound Level Meter, Low Frequency Noise, Internet of Things