Trademarks, Copyrights, and Patents
The group conducted research and found that water sensor devices measure total dissolved solids in water exist and are patented. Devices using impedance spectroscopy are used to differentiate dissolved solids in water by looking at the frequencies generated during spectroscopy to determine each solid. In addition, rapid detection models of water pollution using back propagation neural networks have been developed and show a high level of accuracy in the detection of pollutants. These can be utilized by the group to develop the solution.
The group's idea of using the Internet of Things (IoT) to transmit data to a user's phone has not been created, an area in which water monitoring devices can be improved upon. These patents will be needed to create the water pollutants measuring device. The group did not find any trademarks or copyrights that would interfere with the solution.
Citations
A. Tischendorf, S. Roy, S. Patel, R. Parker, M. Verma, D. Jarog, N. K. Dash, and M. Lindfors, “US7759948B2 - disposable total dissolved solids meter and methods of use thereof,” Google Patents, 2007. [Online]. Available: https://patents.google.com/patent/US7759948B2/en. [Accessed: 02-Mar-2022].
D. J. De Beer and T. Joubert, "Impedance Spectroscopy for Determination of Total Dissolved Solids in Aqueous Solutions of Sodium Chloride and Magnesium Sulphate," 2019 IEEE SENSORS, 2019, pp. 1-4, doi: 10.1109/SENSORS43011.2019.8956627.
Gree Electric Appliances Inc of Zhuhai, “CN103675022A - TDS (total dissolved solids) detection method, device and System,” Google Patents, 2012. [Online]. Available: https://patents.google.com/patent/CN103675022A/en. [Accessed: 02-Mar-2022].
R. Samborn, C. F. Lee, J. H. Lee, and Y.-H. Son, “US20090246083A1 - timing based method and apparatus for monitoring drinking water purity and encouraging routine testing of drinking water purity,” Google Patents, 2008. [Online]. Available: https://patents.google.com/patent/US20090246083#patentCitations. [Accessed: 02-Mar-2022].
T. Jin, J. -f. Zhang, L. -s. Wei, D. -h. Li and W. Di, "Rapid detection model of water pollution based on back propagation neural network," 2021 International Conference of Social Computing and Digital Economy (ICSCDE), 2021, pp. 243-246, doi: 10.1109/ICSCDE54196.2021.00062.