Smart City Gnosys
Smart city article details
| Title | Design Of An Intelligent Water Quality Warning System |
|---|---|
| ID_Doc | 18799 |
| Authors | Li Z.; Liu Y.; Xie D.; Li S. |
| Year | 2022 |
| Published | Proceedings - 2022 12th International Conference on Information Technology in Medicine and Education, ITME 2022 |
| DOI | http://dx.doi.org/10.1109/ITME56794.2022.00054 |
| Abstract | The detection of abnormal water resource data is a key link in water resource information processing and system decision-making, a prerequisite for the normal operation of the water intake information monitoring system, and an important support for promoting the management and construction of water resources in smart cities. With the development of the Internet of things, the internet and big data technology, the informatization process of the water resources system has been accelerating, and the authenticity of data has become increasingly prominent. The detection of outliers in water resources big data is facing new challenges. As the population grows and the level of urbanization increases, the problem of water resources in China is becoming more and more urgent. The traditional anomaly detection mode mostly adopts manual sampling, which has low efficiency and high error rate, and cannot meet the needs of anomaly detection of massive water intake data. A remote monitoring method of water resources based on Internet of things (IoT) technology and electronic measurement technology is proposed in this paper to achieve remote monitoring of water resources effectively, in which the collection device uploads data to the server and stores it in the database, and the terminal can retrieve monitoring information over a period of time, while different threshold ranges can be set to achieve the role of timely alarm, which is convenient for staff to deal with in a timely manner. © 2022 IEEE. |
| Author Keywords | Databases; Electronic measurement technology; Internet of things(IoT)technology; Monitoring |
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