| 英文摘要 |
The work items of this project include sensor type verification before air quality sensor deployment, sensor location planning, consistency comparison, and electricity application. After the deployment is completed, air quality sensor operation and management Ensure data quality and upload data integrity rate, as well as sensor monitoring data analysis and related results.
The sensor used in this project has obtained the type verification comparison of the Industrial Technology Research Institute authorized by the Environmental Protection Agency in August 108. In the planning of sensing points, sensitive ethnic areas (such as schools, hospitals, locations of pollution complaints, etc.), densely populated areas (such as health centers, temples, night markets, markets, etc.), industrial areas (such as Nanshi Industrial Zone and Dadu Industrial areas, etc.) and hot traffic areas (such as high-speed rail stations, railway stations, and traffic arteries, etc.) are focused on sensing, strengthening the air quality sensing Internet of Things in Taichung City, and establishing and analyzing sensing data to provide application mechanisms. The deployment of 550 air quality sensors in this project was completed on October 30, 109.
In order to ensure the quality of sensor data, this plan sets the operation quality management of the sensor Internet of Things. During the empty sensor operation stage, regular inspection and comparison operations are mainly carried out, and the sensor status is remotely monitored for a long time. As of the end of December, there were a total of 253 equipment obstacles. Most of them were power supply abnormalities (such as lamp poles without electricity) and equipment problems (such as motherboard damage, poor sensor battery performance, etc.) as the main obstacles. All obstacles have been eliminated. . According to statistics, the data upload integrity rate of 511 sensors from June to December is in compliance with the contract specification and the quarterly data integrity rate target is 90%.
In terms of sensor monitoring data analysis and application, this issue will analyze the data based on the time characteristics of the sensor and report it to the relevant business department for follow-up processing on a monthly basis. During the project period, it assisted in 4 inspections. It will continue to monitor and analyze, and further explore and establish an operation process for reporting abnormal values of empty sensor monitoring.
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