| 英文摘要 |
To develop an automated system for environmental pollution management, this project implemented tasks covering three aspects, including establishing a NIoT network, creating a one-stop environmental pollution analysis service network, and improving the database of multi-category environmental analysis and listed pollution sources. The achievement of each task is as follows:
(1) Establishing the Noise Internet of Things (NIoT) network
The establishment of the NIoT network contained several tasks, including equipment development, database connection, and data interpretation and application. Regarding equipment development, this project established a class 2 sound level meter and completed the function verification to confirm the consistency with standard instruments. In addition, a waveguide tube was developed to perform automatic calibration of vehicle acoustic cameras, which effectively extended the manual calibration cycle from three to 14 days, reducing labor costs and improving the safety of calibration personnel. Regarding data connection, this project formulated a general rule for noise measurement data transmission. The testing data of aviation noise, environmental noise, and vehicle noise were uploaded. For data interpretation and applications, this project developed algorithms to assist in the automatic identification of vehicle noise violation cases as well as noise measurement and complaint noise location mapping and analysis.
(2) Establishing the One-stop Environmental Analysis Service (EAS) system
The EAS system was planned and established based on three aspects of analysis and testing, namely standard method e-management, permit application digitalization, and intelligent operation management. Collaborating with the administrative workflow of each government unit, related online functions were established to improve the efficiency, convenience, and completeness of analysis applications by adopting digital services.
(3) Integrating the database of multi-category environmental inspection and listed pollution sources
This project integrated the existing data collected by the National Institute of Environmental Analysis (NIEA). The data include numerous categories, including inspection agency permits, personnel changes, on-site evaluation and review opinions, sampling itineraries, and sample management. This database was also incorporated with information on operating unit baselines and complaint tribunals. A dashboard was established to include auxiliary checklists; inspection agency records; the analysis of inspection agencies, operating units, and subcontracting agencies; and real-time information on itinerary reporting. Through database comparison and analysis, this project assisted the NIEA in implementing precise management. In addition, this project received data from high-end or automated analytical instruments and completed six types of automation of data processing and the testing of data reception modules for air quality monitoring vehicles.
(4) Establishing the Information Response Center
The M401 conference room was converted into a 30-person information response center with equipment for numerous functions, including real-time remote monitoring, teaching, and conference, to provide a multi-functional space for remote monitoring of on-site inspection, teaching, and meetings.
In summary, the objective of this project was to establish the One-stop Environmental Analysis Service Intelligent Network to achieve automated environmental pollution management.
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