In the wake of Taiwan's rapid economic development, industrialization and urbanization has exerted significant pressure on the island's environment, especially in view of its limited land space, as a result of which polluted water in an industrial area often flows to a residential area. As part of the effort to cope with the problem, large numbers of water-quality sensors have been deployed but the scale is still grossly insufficient, due to large size and high installation and maintenance cost of existing models. The project aims to develop new-generation water-quality IoT sensing device, featuring compact size, durability, simple operation, low installation cost, wireless data transmission, and IoT connection. The project has attained the following achievements: 1. Fabrication of one portable turbid meter, three residual chlorine sensor prototypes, two COD+SS sensing modules, and fixed power-supply module, which can extend power-supply duration to over 30 days, and quality sensors to 30 better sites; 3. Efficacy evaluation for various water-quality sensors and report on industrial applications; 4. Screening of abnormal water-quality cases, 21 from fixed devices and 18 from mobile devices; 5. Completion of high-tier dynamic water-quality sensing field; 6. Completion of industrial application of ORP water-quality sensors mobile devices for over one month, at sites such as recreational swimming pools and fishing ponds; 7. Deployment of 15 new-version mobile water-quality sensors at sites in five applications types and five scenarios; 8. Transfer to EPB 147 mobile and 33 handheld water-quality sensors in 2021, which have been used in discovering 14 water-pollution cases, with accumulated fines reaching NT$10,552,200. Keelung City and Hualien County governments are new participants; 9. Holding of one industrial matching meeting, one review meeting for collaborative projects, and one press conference; 10. Completion of four papers, two patent applications, and one technology transfer.

Water quality sensing, IoT technology on water quality sensing, Field demonstration, Environmental water quality, Pollution monitoring, Environmental forensic investigation, IoT, Sensor network